Report XI / Latent AI network / Snapshot July 9, 2026
Latent AI Nodes and Connections
A 100-company map of businesses that are not priced as AI-core software, GPU, cloud, or model platforms, but own assets that become more valuable if AI infrastructure, industrial autonomy, edge inferencing, robotics, and data-center buildout keep expanding.
51 U.S. / 51 non-U.S.439 company-source linksScreening artifact, not investment advice
Highest-ranked latent nodes
Score + theme + visibility
1
Belden
BDC / Connectivity & IT/OT / Emerging
94.7
2
EnerSys
ENS / Power & Grid / Latent
94.6
3
Volex
VLX.L / Connectivity & Photonics / Emerging
93.8
4
Rogers
ROG / Semi/Advanced Materials / Latent
90.7
5
Itron
ITRI / Power & Grid / Latent
90.3
6
TKH Group
TWEKA.AS / Connectivity & Automation / Latent
90.0
Public companies
102
51 U.S. and 51 non-U.S. names, intentionally excluding obvious AI-core megacap and GPU-platform leaders.
Theme clusters
16
Power, grid, thermal, water, sensors, photonics, industrial automation, services, space, edge, and advanced materials.
Source links
439
49 macro, news, company, and exclusion sources are mapped back to the ranked companies.
Most latent
39
Names marked latent are plausible AI enablers where the AI link is still not the headline investor narrative.
Current Thesis Audit · Updated July 9, 2026
The core thesis - unpriced AI leverage hides in power, passives, thermal and measurement assets - keeps being validated: 2026 hyperscaler capex guides to $635-690B, high-voltage transformer lead times run 36-48 months, and high-cap MLCC prices are up 15-35% with 16-24 week lead times. The threat is discovery velocity, not thesis decay: June 9's tape rotated violently into already-found Asia memory and passives (SK hynix +15.9%, Taiyo Yuden +20.0%, Murata +11.3%) and out of crowded US optics (AAOI -15.1%, COHR -12.0%, VIAV -6.7%) after Ciena's beat-and-plunge, confirming that discovered second-derivative names now trade on expectations rather than assets. Residual alpha is concentrating in the unloved negative-YTD operational-data and grid-telemetry cohort (Belden -8.4% YTD, Itron -13.6%, Badger Meter -25.8%, Trimble -32.7%) and in post-derate idiosyncratic stories like Oxford Instruments, down 9.3% today despite 30% Advanced Technologies order growth that already covers FY27 revenue. The active ranking pass cross-checks the original thesis against current market prices, market cap, YTD rerating, AI 2027 compute/security assumptions, hyperscaler capex pressure, power constraints, HBM and advanced-packaging evidence, and physical-AI adoption signals.
Source-backed thesis
The thesis is real, but the alpha depends on discovery timing
The web check supports the demand side: AI is stressing power, cooling, grid, fiber, interconnect, and edge infrastructure. The harder question is whether each company is still under-discovered enough to deserve a high alpha rank.
Power load
macro
+17%
IEA reports data-center electricity demand rose 17% in 2025, with AI-focused sites growing faster and physical bottlenecks appearing in grid connections, transformers, chips, and approvals.
IEA: data centre electricity use surged in 2025; AI...Access gap
macro
74 GW
Morgan Stanley frames U.S. data-center demand as a possible 74 GW market by 2028, with a large power-access shortfall and direct implications for grid equipment, storage, and off-grid power.
Morgan Stanley: Energy Markets Race to Solve the AI...Site tightness
macro
1.6%
CBRE reports primary-market data-center vacancy at a record-low 1.6% in H1 2025 and says power availability remains a decisive site-selection factor.
CBRE North America Data Center Trends H1 2025Edge shift
macro
2026
S&P Global expects power, cooling, capital access, interconnection, and edge inferencing to define 2026 data-center infrastructure decisions.
S&P Global: 2026 Trends in Data Center Services & I...What changed from obvious AI screens
Power and grid are no longer side issues
AI data centers need not only GPUs, but fast interconnection, backup energy, switchgear, transformers, metering, thermal controls, water handling, and site services.
Latency moves value outward
Inference, robotics, industrial autonomy, inspection, and edge workloads make sensors, network test, embedded components, and localized infrastructure matter more.
Crowding is now a core risk
Some former latent names are already being repriced as AI infrastructure winners, so the screen penalizes high visibility even when strategic relevance is strong.
How to read a connection
Company to theme
What the company owns: transformers, grid telemetry, copper interconnect, HVAC controls, sensors, precision automation, materials, or edge assets.
Company to source
Why the connection exists: macro bottleneck evidence plus company disclosures, investor materials, news, or exclusion notes.
Theme to driver
Why the theme could matter for AI: power access, heat rejection, data movement, site delivery, factory autonomy, or edge inference.
Score to action
Why this is still only a research queue: valuation, liquidity, estimates, customer concentration, and current price action need separate diligence.
Nodes and connections
The map connects companies to AI demand through assets, not hype
The zip does not contain invoice-level supplier edges. This graph therefore shows a defensible relation: AI demand driver to theme cluster to top-ranked public company nodes, with the full source map available below.
Power & Grid
14Avg alpha 73.6 with 63 source links and 3 high-conviction names.
#2 ENS#5 ITRI#16 HPS.A.TO#26 ATKR#29 AZZ
Sensors & Measurement
13Avg alpha 77.1 with 55 source links and 1 high-conviction names.
#10 SENS.SW#17 RSW.L#18 ESE#34 TRMB#42 ZBRA
Connectivity & Photonics
13Avg alpha 69.6 with 61 source links and 2 high-conviction names.
#3 VLX.L#8 IPGP#11 VIAV#20 MTSI#36 VCM.TO
Thermal & Water
12Avg alpha 76.2 with 55 source links and 1 high-conviction names.
#7 CRL.MI#22 WTS#23 AALB.AS#31 MTRS.ST#33 BEAN.SW
Semi/Advanced Materials
11Avg alpha 70.1 with 47 source links and 1 high-conviction names.
#4 ROG#13 OXIG.L#28 MGAM.L#38 INTT#67 MKSI
Industrial Automation & Robotics
10Avg alpha 72.2 with 44 source links and 0 high-conviction names.
#24 ATS.TO#35 KARN.SW#39 INRN.SW#41 AUTO.OL#53 6841.T
Visualizations
The strongest density is not where AI headlines are loudest
The charts separate strategic AI fit from discovery gap, valuation gap, catalyst density, execution quality, and hype penalties.
Theme density and average alpha
Power/grid and sensors have the most nodes, while smaller clusters can still score well when discovery and valuation gaps are high.
Discovery gap vs. valuation gap
Upper right is the preferred quadrant: under-recognized AI linkage plus valuation asymmetry. Dot size tracks alpha score.
Top-node score stack
The formula rewards latent fit, discovery, valuation, catalysts, and execution, then subtracts the hype penalty.
AI visibility mix
Latent and emerging categories dominate the list. Discovered names remain as controls where strategic relevance is high but alpha is lower.
Stricter selection
A second-pass screen for names with less direct current AI-chain exposure
This stricter list excludes direct AI chips, fab tools/materials, advanced packaging, optical interconnect, data-center power, cooling, transformers, racks, and obvious data-center construction beneficiaries. It overlaps the broad 100-name list on only 12 tickers.
Strict candidates
95
The stricter screen still keeps 50 U.S. and 50 non-U.S. public companies, but shifts the thesis into second-order infrastructure.
Overlap with broad list
11
84 names are strict-only; 91 broad-list names fall out under stricter rules.
Direct names excluded
25
Excluded rows include direct optics, power, cooling, transformers, fab equipment, packaging, data-center construction, and safety-service exposure.
Top strict node
BRC
Brady leads the strict screen with an alpha score of 86.8.
Strict bucket average alpha
The stricter universe clusters in industrial equipment, water/fluid systems, materials, tooling, MRO, sensors, recycling, and safety.
Strict alpha vs. discovery, colored by bucket
Y-axis is current AI-chain risk: low is preferred, medium requires deeper proof, and high should normally be excluded or treated as a control.
Strict top-node component stack
The stricter formula keeps the same basic alpha logic but increases the importance of screening out obvious current AI supply-chain exposure.
Overlap names that survived both screens
Only twelve broad-list companies also pass the stricter screen. These are useful for comparing broad latent relevance against strict absence-of-obvious-AI exposure.
BMIBadger Meterstrict #6 / broad #44
TTG.LTT Electronicsstrict #10 / broad #21
AZZAZZstrict #12 / broad #29
MWAMueller Water Productsstrict #13 / broad #50
DSCV.LdiscoverIE Groupstrict #32 / broad #14
ATS.TOATS Corporationstrict #52 / broad #24
KARN.SWKardexstrict #54 / broad #35
VNTVontierstrict #62 / broad #49
WTSWatts Water Technologiesstrict #68 / broad #22
CNMCore & Mainstrict #75 / broad #74
DPLM.LDiplomastrict #81 / broad #75
Industrial equipment
19Avg alpha 67.5 with 18 low-risk names and 12 high-confidence evidence rows.
#34 KGX.DE#50 UFPI#54 KARN.SW#60 PAL.VI#61 ANDR.VI
Water / fluid systems
15Avg alpha 73.6 with 4 low-risk names and 12 high-confidence evidence rows.
#6 BMI#8 KSB.DE#11 LNN#13 MWA#15 GGG
Materials / chemicals
13Avg alpha 67.1 with 11 low-risk names and 8 high-confidence evidence rows.
#7 NTG.DE#12 AZZ#35 NGVT#45 ELK.OL#48 AIN
Manufacturing / tooling
11Avg alpha 73.4 with 9 low-risk names and 8 high-confidence evidence rows.
#5 BOY.L#20 XTC.TO#23 KOMN.SW#24 ESAB#27 KMT
Sensors / electronics
9Avg alpha 75.8 with 1 low-risk names and 2 high-confidence evidence rows.
#4 GHH.L#9 CTS#10 TTG.L#21 ATRO#25 MELE.BR
Distribution / MRO
9Avg alpha 67.4 with 4 low-risk names and 5 high-confidence evidence rows.
#29 DXPE#33 WJX.TO#36 AIT#75 CNM#77 BOSN.SW
Showing 95 of 95 strict candidates
| Rank | Ticker | Company | Score | Cases | Price / cap | Bucket | Risk | Latent pathway | Current-chain screen | Overlap |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | BRC NYSE | Brady United States / US | 86.8 | $89.34 $3.55B +13.6% YTD | Security / safety | Low High evidence | Industrial labels, safety identification and asset tracking could become more valuable in dense robotic/data-center operations | No direct AI supply-chain positioning found; identification and workplace safety products. | Strict only | |
| 2 | TWIN NASDAQ | Twin Disc United States / US | 86.4 | $21.25 $0.34B +31.2% YTD | Motion / mechanical | Low High evidence | Transmissions, clutches and control systems could benefit from robotics, automation and specialty cooling machinery spillovers | No direct AI infrastructure evidence found; marine/off-highway/industrial power transmission focus. | Strict only | |
| 3 | PWH.AX ASX | PWR Holdings Australia / Non-US | 86.0 | AUD 8.56 $0.57B +8.3% YTD | Thermal / heat transfer | Medium Medium evidence | Motorsport/aerospace heat exchangers and electronics cooling could be repurposed before data-center buyers discover them | No current AI/data-center cooling positioning found in spot checks; official source emphasizes motorsport, automotive, emerging tech, aerospace/defence. | Strict only | |
| 4 | GHH.L LSE | Gooch & Housego United Kingdom / Non-US | 83.3 | GBp 824.91 $0.32B +33.5% YTD | Sensors / electronics | Medium Medium evidence | Precision photonics outside data-center transceivers could become useful for sensing, inspection and quantum/edge infrastructure | No evidence found of CPO/datacenter transceiver supply; official source emphasizes industry, telecoms, aerospace, defense, space and life sciences. | Strict only | |
| 5 | BOY.L LSE | Bodycote United Kingdom / Non-US | 81.5 | GBp 647 $1.52B -8.9% YTD | Manufacturing / tooling | Low High evidence | Thermal processing and specialty treatment could enable higher-spec metal components in liquid loops, robotics and industrial automation | No direct AI/fab/data-center supplier evidence found; heat-treatment services across industrial markets. | Strict only | |
| 6 | BMI NYSE | Badger Meter United States / US | 81.1 | $144.45 $4.26B -18.1% YTD | Water / fluid systems | Medium High evidence | Smart water metering + flow measurement could monitor liquid cooling water loops and water intensity | No direct AI/data-center/fab supplier evidence found in spot checks; official materials emphasize water utilities/C&I flow control. | Broad #44 | |
| 7 | NTG.DE Xetra | Nabaltec Germany / Non-US | 81.0 | EUR 13.25 $0.13B +6.4% YTD | Materials / chemicals | Low High evidence | Specialty alumina, ceramic bodies and flame-retardant fillers could become valuable in thermal, safety and enclosure materials | No direct AI/fab/data-center evidence found; specialty chemicals/ceramics. | Strict only | |
| 8 | KSB.DE Xetra | KSB Germany / Non-US | 80.7 | EUR 902 $1.79B -7.0% YTD | Water / fluid systems | Medium High evidence | Industrial pumps and valves could become critical as liquid cooling and water reuse component demand fragments | No direct AI/data-center positioning found in spot checks; official source emphasizes pumps/valves for industry, energy, water and mining. | Strict only | |
| 9 | CTS NYSE | CTS Corporation United States / US | 79.5 | $59.06 $1.73B +34.7% YTD | Sensors / electronics | Medium High evidence | Sensors, filters, and connectivity components could support edge sensing, thermal monitoring and industrial automation | No direct AI build-out/fab evidence found in spot checks; automotive/industrial electronics focus. | Strict only | |
| 10 | TTG.L LSE | TT Electronics United Kingdom / Non-US | 78.8 | GBp 117.6 $0.28B -0.3% YTD | Sensors / electronics | Medium Medium evidence | Sensors, power conversion and electronics assemblies for regulated markets could migrate to rugged edge/thermal-control niches | No direct AI data-center/fab supplier evidence found; official source emphasizes medical, aerospace, defence, automation and electrification. | Broad #21 | |
| 11 | LNN NASDAQ | Lindsay United States / US | 78.4 | $111.15 $1.24B -8.3% YTD | Water / fluid systems | Low High evidence | Irrigation automation, remote monitoring and water-efficiency systems could translate into scarce-water site management know-how | No direct AI supply chain evidence found; primarily irrigation and infrastructure equipment. | Strict only | |
| 12 | AZZ NYSE | AZZ United States / US | 78.3 | $143.6 $4.50B +30.9% YTD | Materials / chemicals | Low High evidence | Hot-dip galvanizing and coil coating could protect steel structures, poles, enclosures and distributed infrastructure as compute becomes more physical | No direct AI-supplier positioning found in company spot checks; critical infrastructure coatings focus. | Broad #29 | |
| 13 | MWA NYSE | Mueller Water Products United States / US | 78.2 | $24.75 $4.27B +3.4% YTD | Water / fluid systems | Low High evidence | Water distribution, leak detection and smart utility products could be relevant as AI campuses pressure municipal water networks | No direct AI/data-center revenue positioning found; mainly water infrastructure and utility products. | Broad #50 | |
| 14 | ROR.L LSE | Rotork United Kingdom / Non-US | 78.1 | GBp 291.6 $3.32B -10.4% YTD | Other | Medium High evidence | Actuators and flow-control systems could fit coolant, water and industrial control loops | No direct AI infrastructure evidence found; flow-control products for industrial process markets. | Strict only | |
| 15 | GGG NYSE | Graco United States / US | 77.3 | $73.23 $12.2B -11.4% YTD | Water / fluid systems | Medium High evidence | Precision equipment to move, meter, control and dispense fluids/powders could support future coolant, sealant or thermal-fluid handling | No direct AI infrastructure positioning found in spot checks; broad industrial fluid handling. | Strict only | |
| 16 | STM.DE Xetra | Stabilus Germany / Non-US | 77.0 | EUR 15.4 $0.44B -24.9% YTD | Motion / mechanical | Low High evidence | Gas springs, dampers and electromechanical motion could support robotics, server-handling aids and automation hardware | No direct AI infrastructure evidence found; motion control across automotive/industrial. | Strict only | |
| 17 | TKR NYSE | Timken United States / US | 77.0 | $137.23 $9.54B +59.0% YTD | Motion / mechanical | Low High evidence | Bearings and motion products could be used in robotics, automated warehouses, cooling equipment and specialty manufacturing | No direct AI supply chain positioning found; broad industrial and engineered bearings. | Strict only | |
| 18 | BFSA.DE Xetra | Befesa Luxembourg/Germany / Non-US | 76.7 | EUR 31.45 $1.46B +5.0% YTD | Recycling / critical materials | Low High evidence | Steel dust and aluminum residue recycling could matter as AI build-out increases metal circularity demand | No direct AI supplier evidence found; recycling of steel dust and aluminum salt slags. | Strict only | |
| 19 | AMG.AS Euronext Amsterdam | AMG Critical Materials Netherlands / Non-US | 76.2 | EUR 32.22 $1.36B +8.9% YTD | Recycling / critical materials | Medium Medium evidence | Vanadium, lithium and specialty materials could support energy storage/material bottlenecks adjacent to compute build-outs | No direct AI infrastructure supplier evidence found; critical materials and technologies. | Strict only | |
| 20 | XTC.TO TSX | Exco Technologies Canada / Non-US | 76.0 | CAD 7.57 $0.20B +10.8% YTD | Manufacturing / tooling | Low High evidence | Die-casting tooling, extrusion tools and engineered components could support thermal housings and industrial reshoring | No direct AI infrastructure evidence found; tooling, die-casting and automotive components. | Strict only | |
| 21 | ATRO NASDAQ | Astronics United States / US | 75.8 | $71.17 $3.51B +57.5% YTD | Sensors / electronics | Low Medium evidence | Aerospace power, lighting, connectivity and test systems could be adapted to rugged edge compute and high-reliability electronics niches | No direct AI build-out evidence found; aerospace/defense/test products. | Strict only | |
| 22 | CXT NYSE | Crane NXT United States / US | 75.6 | $49.19 $2.76B +3.1% YTD | Security / safety | Low Medium evidence | Authentication, sensing and secure transaction technology could support access, trusted hardware and anti-counterfeit supply-chain needs | No direct AI supply-chain positioning found; payment/security/authentication technology. | Strict only | |
| 23 | KOMN.SW SIX | Komax Switzerland / Non-US | 75.5 | CHF 44.5 $0.33B -31.6% YTD | Manufacturing / tooling | Medium Medium evidence | Wire-processing automation could support high-volume harness manufacturing for robotics, power and industrial modules | No direct AI infrastructure evidence found; wire processing automation. | Strict only | |
| 24 | ESAB NYSE | ESAB United States / US | 74.8 | $86.56 $5.76B -23.1% YTD | Manufacturing / tooling | Low High evidence | Fabrication systems and specialty welding could support industrial reshoring and modular infrastructure fabrication | No direct AI/data-center/fab evidence found; welding/cutting/fabrication focus. | Strict only | |
| 25 | MELE.BR Euronext Brussels | Melexis Belgium / Non-US | 74.7 | EUR 77.1 $3.54B +31.2% YTD | Sensors / electronics | Medium Medium evidence | Magnetic/current/position sensor ICs for automotive could be repurposed for power and thermal sensing, but not AI accelerators | No direct AI data-center semiconductor evidence found; fabless sensors/driver ICs mostly automotive. | Strict only | |
| 26 | LEHN.SW SIX | LEM Holding Switzerland / Non-US | 74.3 | CHF 411 $0.61B +43.0% YTD | Sensors / electronics | Medium Medium evidence | Current and voltage sensors could become useful in high-voltage power monitoring and robotics, before AI-specific demand appears | No direct AI-data-center supplier evidence found; official source emphasizes current/voltage sensing for EV, grid, automation and power supplies. | Strict only | |
| 27 | KMT NYSE | Kennametal United States / US | 74.1 | $33.11 $2.52B +14.2% YTD | Manufacturing / tooling | Low High evidence | Carbide tooling and wear-resistant materials could enable reshoring of precision thermal/mechanical components | No direct AI infrastructure exposure found; broad tooling and materials end-markets. | Strict only | |
| 28 | IMI.L LSE | IMI United Kingdom / Non-US | 74.0 | GBp 2,750 $9.35B +10.0% YTD | Water / fluid systems | Medium Medium evidence | Precision valves and fluid-control systems could move into cooling, water treatment or industrial automation components | No direct AI infrastructure supplier evidence found; precision engineering across industrial sectors. | Strict only | |
| 29 | DXPE NASDAQ | DXP Enterprises United States / US | 73.6 | $158.15 $2.45B +46.8% YTD | Distribution / MRO | Medium Medium evidence | Distributor/integrator of pumps, rotating equipment and MRO could aggregate fragmented cooling/water components if demand spills over | No direct AI-specific supplier evidence found; broad industrial distribution. | Strict only | |
| 30 | NOEJ.DE Xetra | NORMA Group Germany / Non-US | 73.5 | EUR 17.86 $0.57B +21.3% YTD | Water / fluid systems | Medium High evidence | Engineered joining and fluid connectors could be used in liquid loops, compact manifolds and industrial automation | No direct AI-data-center supplier evidence found; industrial joining technology. | Strict only | |
| 31 | SXI NYSE | Standex International United States / US | 73.1 | $301.25 $4.33B +34.0% YTD | Sensors / electronics | Medium Medium evidence | Reed sensors, magnetics, electronics and hydraulics could be useful in liquid-cooling instrumentation and robotics | No direct AI/data-center/fab evidence found; diversified electronics/engraving/specialty solutions. | Strict only | |
| 32 | DSCV.L LSE | discoverIE Group United Kingdom / Non-US | 73.0 | GBp 646 $0.93B +9.3% YTD | Sensors / electronics | Medium High evidence | Custom electronic components for industrial sensing/control could be adapted for coolant sensing and edge device telemetry | No direct AI infrastructure/fab evidence found; custom electronics for industrial applications. | Broad #14 | |
| 33 | WJX.TO TSX | Wajax Canada / Non-US | 73.0 | CAD 31.2 $0.48B +12.9% YTD | Distribution / MRO | Low High evidence | Industrial equipment distribution could capture fragmented pumps, powertrain, MRO and service demand in secondary markets | No direct AI supplier evidence found; equipment, power systems and industrial components distribution. | Strict only | |
| 34 | KGX.DE Xetra | KION Group Germany / Non-US | 72.9 | EUR 41.74 $5.78B -40.2% YTD | Industrial equipment | Low High evidence | Forklifts, warehouse automation and supply-chain systems could benefit from physical AI logistics build-out | No direct AI supply-chain supplier evidence found; intralogistics and automation focus. | Strict only | |
| 35 | NGVT NYSE | Ingevity United States / US | 72.8 | $71.53 $2.55B +19.0% YTD | Materials / chemicals | Low Medium evidence | Activated carbon and specialty materials could support filtration, adsorption, coatings or battery-adjacent infrastructure niches | No direct AI/data-center/fab evidence found; specialty chemicals/materials focus. | Strict only | |
| 36 | AIT NYSE | Applied Industrial Technologies United States / US | 72.7 | $315.88 $12.2B +21.7% YTD | Distribution / MRO | Medium Medium evidence | Motion, bearings, flow control and automation distribution could aggregate latent demand before OEMs become obvious suppliers | No direct AI supplier evidence found; MRO, bearings, fluid power and automation distribution. | Strict only | |
| 37 | HURC NASDAQ | Hurco United States / US | 72.5 | $21.81 $0.14B +33.4% YTD | Manufacturing / tooling | Low High evidence | CNC machines could support localized prototyping and specialty manufacturing for hard-to-source AI infrastructure parts | No direct AI/fab supplier positioning found; machine tools for general manufacturing. | Strict only | |
| 38 | FELE NASDAQ | Franklin Electric United States / US | 72.2 | $101.26 $4.64B +4.4% YTD | Water / fluid systems | Medium High evidence | Groundwater, fueling, and pumping systems could serve water-constrained compute campuses or edge facilities | No obvious AI/data-center supplier positioning found; current focus is water/fuel pumping systems. | Strict only | |
| 39 | DUE.DE Xetra | Dürr Germany / Non-US | 72.0 | EUR 17.52 $1.46B -23.2% YTD | Manufacturing / tooling | Low High evidence | Factory automation, environmental systems and surface processing could support reshored hardware/component production | No direct AI infrastructure/fab exposure found in spot checks; broad mechanical/process engineering. | Strict only | |
| 40 | KAI NYSE | Kadant United States / US | 72.0 | $293.57 $3.70B +2.5% YTD | Water / fluid systems | Medium Medium evidence | Fluid handling, filtration and industrial process systems could be redirected toward water reuse/thermal process control | No direct AI supply chain positioning found; process industries remain core. | Strict only | |
| 41 | SUN.SW SIX | Sulzer Switzerland / Non-US | 71.9 | CHF 138.7 $5.79B -8.6% YTD | Water / fluid systems | Medium High evidence | Pumping, mixing, separation and purification could transfer into coolant quality, water reuse and process-control niches | No direct AI-data-center supplier evidence found; fluid engineering across essential industries. | Strict only | |
| 42 | HAYW NYSE | Hayward Holdings United States / US | 71.5 | $15.85 $3.44B +0.5% YTD | Water / fluid systems | Low High evidence | Pool pumps, controls and filtration capabilities could be adapted toward smaller liquid-management and heat-exchange niches | No direct AI/data-center/fab exposure found; consumer/commercial pool equipment focus. | Strict only | |
| 43 | MSA NYSE | MSA Safety United States / US | 71.5 | $167.41 $6.20B +3.2% YTD | Security / safety | Low High evidence | Gas detection, flame detection and worker safety could support critical compute/factory sites and autonomous-industrial safety | No direct AI supplier evidence found; safety products and detection systems. | Strict only | |
| 44 | KRN.DE Xetra | Krones Germany / Non-US | 71.4 | EUR 107.6 $4.11B -20.9% YTD | Manufacturing / tooling | Low High evidence | High-throughput automation and process engineering could be adapted to precision assembly/inspection cells | No direct AI infrastructure/fab evidence found; packaging and bottling process technology. | Strict only | |
| 45 | ELK.OL Oslo | Elkem Norway / Non-US | 70.9 | NOK 30.4 $1.19B -0.6% YTD | Materials / chemicals | Medium Medium evidence | Silicones and carbon solutions could support thermal, sealing or battery-adjacent materials if demand spills outside incumbents | No direct AI/fab supply-chain evidence found in spot checks; silicones, silicon products and carbon solutions. | Strict only | |
| 46 | NMAN.ST Nasdaq Stockholm | Nederman Sweden / Non-US | 70.9 | SEK 124.2 $0.50B -24.7% YTD | Filtration / safety | Low High evidence | Industrial air filtration and extraction could matter for fabrication-adjacent workshops and facility cleanliness without fab exposure | No direct AI/fab/data-center evidence found; industrial air filtration. | Strict only | |
| 47 | NSSC NASDAQ | NAPCO Security Technologies United States / US | 70.8 | $38.08 $1.36B -8.0% YTD | Security / safety | Low High evidence | Access control, alarms and locking systems could serve higher-security compute campuses/edge sites without being core AI hardware | No direct AI infrastructure supplier evidence found; security and locking systems. | Strict only | |
| 48 | AIN NYSE | Albany International United States / US | 70.5 | $71.31 $2.04B +36.2% YTD | Materials / chemicals | Low High evidence | Engineered fabrics and aerospace composites could be applied to lightweight structures, filtration media, and manufacturing process materials | No direct AI/data-center/fab evidence found; aerospace and machine clothing focus. | Strict only | |
| 49 | ASIX NYSE | AdvanSix United States / US | 70.5 | $20.48 $0.56B +18.9% YTD | Materials / chemicals | Low High evidence | Nylon, caprolactam and ammonium sulfate chemistry could be adapted to industrial materials and manufacturing inputs | No direct AI infrastructure evidence found; diversified chemicals. | Strict only | |
| 50 | UFPI NASDAQ | UFP Industries United States / US | 70.3 | $82.32 $4.64B -10.7% YTD | Industrial equipment | Low High evidence | Packaging, wood/composite and construction products could support modular industrial expansion and logistics | No direct AI infrastructure supplier evidence found; packaging, construction and retail products. | Strict only | |
| 51 | TOM.OL Oslo | Tomra Norway / Non-US | 70.1 | NOK 95.5 $2.95B -30.0% YTD | Recycling / critical materials | Low Medium evidence | Sensor-based sorting and recycling could help recover metals/plastics as AI hardware cycles accelerate | No direct AI infrastructure evidence found; sorting and recycling technology. | Strict only | |
| 52 | ATS.TO TSX | ATS Corporation Canada / Non-US | 70.0 | CAD 38.52 $2.77B +0.6% YTD | Manufacturing / tooling | Medium Medium evidence | Custom automation for life sciences, energy and transport could become a platform for AI-hardware adjacent assembly lines | Official 2026-facing pages emphasize life sciences, food & beverage, transportation, consumer products and energy; no direct AI infra supplier evidence found. | Broad #24 | |
| 53 | DCI NYSE | Donaldson United States / US | 70.0 | $87.68 $10.2B -2.5% YTD | Filtration / safety | Medium High evidence | Air/liquid filtration could extend into coolant cleanliness, facility air quality, and industrial process protection | No direct AI build-out evidence found; filtration across industrial/mobile/aerospace/life sciences. | Strict only | |
| 54 | KARN.SW SIX | Kardex Switzerland / Non-US | 69.9 | CHF 240 $2.39B -14.9% YTD | Industrial equipment | Low High evidence | Automated storage/retrieval could support secure parts logistics and robotics-enabled facilities | No direct AI infrastructure evidence found; intralogistics automation. | Broad #35 | |
| 55 | UMIC.BR Euronext Brussels | Umicore Belgium / Non-US | 69.9 | Price n/a Cap n/a YTD n/a | Recycling / critical materials | Medium Medium evidence | Battery materials and recycling could become relevant to backup power and metal circularity without being current AI hardware | No direct AI data-center/fab supplier evidence found; battery materials/catalysis/recycling. | Strict only | |
| 56 | CR NYSE | Crane Company United States / US | 69.8 | $214.13 $12.4B +14.2% YTD | Sensors / electronics | Medium Medium evidence | Aerospace electronics, sensing, fluid management and valves could cross-pollinate into high-reliability cooling/control niches | No direct AI infrastructure evidence found; aerospace, defense, flow technologies and critical industries. | Strict only | |
| 57 | LECO NYSE | Lincoln Electric United States / US | 69.8 | $247.69 $13.6B +1.6% YTD | Manufacturing / tooling | Low High evidence | Welding automation and additive manufacturing know-how could support heavy fabrication for compute campuses and robot factories | No direct AI infrastructure evidence found; welding/cutting/automation focus. | Strict only | |
| 58 | PRLB NYSE | Proto Labs United States / US | 69.8 | $72.96 $1.74B +42.1% YTD | Manufacturing / tooling | Low Medium evidence | Rapid manufacturing could prototype custom thermal/mechanical parts before incumbent supply chains develop | No direct AI supply-chain positioning found; quick-turn digital manufacturing focus. | Strict only | |
| 59 | AOS NYSE | A. O. Smith United States / US | 69.6 | $59.47 $8.20B -12.9% YTD | Water / fluid systems | Low High evidence | Water heating, boilers and treatment could be relevant for heat reuse, facility water treatment or industrial campuses | No direct AI/data-center supplier positioning found; water heating/treatment focus. | Strict only | |
| 60 | PAL.VI Vienna | Palfinger Austria / Non-US | 69.6 | EUR 32.25 $1.41B -4.6% YTD | Industrial equipment | Low High evidence | Lifting systems could support modular infrastructure, maintenance robotics and industrial logistics | No direct AI build-out evidence found; lifting and handling solutions. | Strict only | |
| 61 | ANDR.VI Vienna | Andritz Austria / Non-US | 69.0 | EUR 72.4 $8.31B +8.5% YTD | Industrial equipment | Medium Medium evidence | Hydro, pumps, process automation and industrial systems could help constrained power/water ecosystems outside direct AI hardware | No direct AI supplier evidence found; hydro, pulp, metals and separation technologies. | Strict only | |
| 62 | VNT NYSE | Vontier United States / US | 68.9 | $28.52 $4.02B -24.6% YTD | Industrial equipment | Low High evidence | Industrial mobility, sensing, fueling and environmental solutions could support energy-managed industrial campuses | No direct AI/data-center/fab evidence found; transportation/mobility and environmental solutions. | Broad #49 | |
| 63 | ALG NYSE | Alamo Group United States / US | 68.8 | $162.95 $2.07B -4.4% YTD | Industrial equipment | Low High evidence | Vegetation, infrastructure-maintenance and industrial equipment could support rights-of-way and physical build-out adjacent work | No direct AI supply-chain evidence found; vegetation and industrial equipment. | Strict only | |
| 64 | ALQ.AX ASX | ALS Australia / Non-US | 68.6 | AUD 22.24 $8.06B +0.8% YTD | Services / testing | Low High evidence | Testing, certification and environmental analysis could verify coolants, water quality, materials and emissions for new infrastructure | No direct AI supply-chain evidence found; testing, inspection and certification services. | Strict only | |
| 65 | SGM.AX ASX | Sims Australia / Non-US | 68.6 | AUD 25.07 $3.39B +37.6% YTD | Recycling / critical materials | Low High evidence | Metal recycling could capture circularity demand as AI hardware, cabling and facility materials scale | No direct AI supply-chain evidence found; metal recycling and circular materials. | Strict only | |
| 66 | ESNT.L LSE | Essentra United Kingdom / Non-US | 68.3 | GBp 81.75 $0.32B -14.8% YTD | Industrial equipment | Low High evidence | A catalogue of components, caps, fasteners and protection products could matter in modular hardware/facility supply chains | No direct AI infrastructure evidence found; broad industrial components. | Strict only | |
| 67 | GF.SW SIX | Georg Fischer Switzerland / Non-US | 68.0 | CHF 43.62 $4.58B -19.1% YTD | Water / fluid systems | Medium Medium evidence | Piping and flow solutions could map into industrial coolant/water networks if hyperscale standards spill into adjacent markets | No direct AI infrastructure evidence found; flow solutions, casting and machining businesses. | Strict only | |
| 68 | WTS NYSE | Watts Water Technologies United States / US | 68.0 | $348.05 $11.9B +24.9% YTD | Water / fluid systems | Medium High evidence | Valves, backflow prevention, drainage, water quality and HVAC/hot water controls could be adapted for high-density facility water management | No direct AI build-out mention found in spot checks; products are broad plumbing/flow/water quality solutions. | Broad #22 | |
| 69 | HILS.L LSE | Hill & Smith United Kingdom / Non-US | 67.8 | GBp 2,840 $3.00B +31.8% YTD | Materials / chemicals | Low High evidence | Galvanizing and engineered infrastructure products could support physical-network and facility hardening | No direct AI-data-center supplier evidence found; engineered infrastructure products. | Strict only | |
| 70 | RWC.AX ASX | Reliance Worldwide Australia / Non-US | 67.8 | AUD 3.76 $2.01B -2.3% YTD | Water / fluid systems | Medium High evidence | Plumbing, pipe fittings and flow-control products could support water loops and rapid facility construction | No direct AI data-center supplier evidence found; plumbing and water-control products. | Strict only | |
| 71 | TIH.TO TSX | Toromont Canada / Non-US | 67.7 | CAD 228.08 $12.8B +35.9% YTD | Industrial equipment | Low Medium evidence | Equipment distribution/service could support remote construction, logistics and energy projects around compute campuses | No direct AI infrastructure evidence found; equipment dealership and industrial refrigeration/service. | Strict only | |
| 72 | TNC NASDAQ | Tennant United States / US | 67.6 | $85.6 $1.51B +15.7% YTD | Industrial equipment | Low Medium evidence | Industrial cleaning machines and autonomous floor-cleaning platforms could evolve into facility robotics for high-security campuses | No direct AI infrastructure supplier evidence found; cleaning equipment and robotics focus. | Strict only | |
| 73 | FSS NYSE | Federal Signal United States / US | 67.5 | $119.11 $7.84B +6.9% YTD | Other | Low High evidence | Emergency warning, environmental and safety equipment could serve AI campuses, autonomous operations and critical sites | No direct AI infrastructure supplier evidence found; municipal/industrial safety and environmental systems. | Strict only | |
| 74 | MATW NASDAQ | Matthews International United States / US | 67.5 | $26.21 $0.84B +1.1% YTD | Industrial equipment | Low Medium evidence | Industrial technologies, marking and energy-storage process work could offer optionality in manufacturing infrastructure | No direct AI supply-chain positioning found; diversified memorial/industrial/brand solutions. | Strict only | |
| 75 | CNM NYSE | Core & Main United States / US | 67.4 | $45.59 $8.82B -14.6% YTD | Distribution / MRO | Low High evidence | Waterworks distribution and smart utility offerings could matter as AI campuses strain water infrastructure | No direct AI/data-center supplier evidence found; water/wastewater/stormwater infrastructure distributor. | Broad #74 | |
| 76 | HXL NYSE | Hexcel United States / US | 67.2 | $98.53 $7.43B +28.2% YTD | Materials / chemicals | Low Medium evidence | Carbon fiber and lightweight composites could enable advanced robotics, aerospace compute platforms and thermal/mechanical structures | No direct AI infrastructure evidence found; aerospace/industrial composites focus. | Strict only | |
| 77 | BOSN.SW SIX | Bossard Switzerland / Non-US | 67.1 | CHF 198.5 $1.94B +27.2% YTD | Distribution / MRO | Low High evidence | Fastener distribution and engineering could aggregate hidden demand for modular enclosures and robotic equipment | No direct AI infrastructure evidence found; fastening and logistics services. | Strict only | |
| 78 | OSK NYSE | Oshkosh United States / US | 67.1 | $139.94 $8.72B +5.8% YTD | Industrial equipment | Low High evidence | Electrified, autonomous and specialty platforms could map to physical logistics and construction of new compute infrastructure | No direct AI supply-chain revenue evidence found; specialty vehicles/defense/fire/access equipment. | Strict only | |
| 79 | BEKB.BR Euronext Brussels | Bekaert Belgium / Non-US | 67.0 | EUR 39.9 $2.19B +3.0% YTD | Materials / chemicals | Low High evidence | Advanced steel wire and reinforcement materials could support electrification, enclosures and industrial construction | No direct AI supply-chain supplier evidence found; steel wire transformation and coatings. | Strict only | |
| 80 | BRG.OL Oslo | Borregaard Norway / Non-US | 67.0 | NOK 150.2 $1.53B -23.6% YTD | Materials / chemicals | Low High evidence | Biopolymers and specialty cellulose could be used in binders, dispersants or sustainable process chemistry | No direct AI infrastructure evidence found; bio-based specialty chemicals. | Strict only | |
| 81 | DPLM.L LSE | Diploma United Kingdom / Non-US | 67.0 | GBp 6,745 $12.9B +27.4% YTD | Distribution / MRO | Medium Medium evidence | Seals, controls and life-science/industrial distribution could aggregate hard-to-source fluid-control components | No direct AI build-out supplier evidence found; distribution into controls, seals and life sciences. | Broad #75 | |
| 82 | TRS NASDAQ | TriMas United States / US | 67.0 | $40.84 $1.48B +12.5% YTD | Industrial equipment | Low Medium evidence | Specialty fasteners, aerospace components and closures could be redirected toward precision mechanical subassemblies | No direct AI build-out/fab evidence found; packaging/aerospace/specialty products. | Strict only | |
| 83 | WIE.VI Vienna | Wienerberger Austria / Non-US | 66.4 | EUR 22.14 $2.87B -26.7% YTD | Industrial equipment | Low High evidence | Piping and building envelope products could matter in water reuse and resilient industrial campuses | No direct AI infrastructure evidence found; building products and piping systems. | Strict only | |
| 84 | EPI-A.ST Nasdaq Stockholm | Epiroc Sweden / Non-US | 65.8 | SEK 256.3 $32.5B +21.9% YTD | Industrial equipment | Low Medium evidence | Mining automation and equipment could benefit if AI metals demand pushes harder on productivity and autonomy | No direct AI supply-chain supplier evidence found; mining and infrastructure equipment. | Strict only | |
| 85 | RDX.AX ASX | Redox Australia / Non-US | 65.7 | AUD 3.6 $1.33B +17.3% YTD | Distribution / MRO | Medium High evidence | Chemical distribution could supply coolants, water-treatment chemistry and process inputs if new suppliers are needed | No direct AI infrastructure supplier evidence found; chemicals and ingredients distribution. | Strict only | |
| 86 | SFSN.SW SIX | SFS Group Switzerland / Non-US | 65.5 | CHF 133 $6.48B +17.5% YTD | Industrial equipment | Low High evidence | Precision fasteners and components could support compact mechanical assemblies and automation hardware | No direct AI supply-chain evidence found; fastening systems and precision components. | Strict only | |
| 87 | TEX NYSE | Terex United States / US | 65.3 | $64.27 $7.34B +16.8% YTD | Industrial equipment | Low High evidence | Aerial work, cranes and material-handling gear could benefit from accelerated industrial construction and automated logistics | No direct AI-specific supplier evidence found; industrial equipment and materials processing. | Strict only | |
| 88 | BCVN.SW SIX | Bucher Industries Switzerland / Non-US | 64.0 | CHF 122.8 $12.6B +18.9% YTD | Industrial equipment | Low High evidence | Hydraulics and specialty machinery could support automated construction, industrial equipment and facility operations | No direct AI supply-chain evidence found; agricultural, hydraulic, glass and municipal machinery. | Strict only | |
| 89 | MSM NYSE | MSC Industrial Direct United States / US | 63.2 | $118.99 $6.64B +38.6% YTD | Distribution / MRO | Low High evidence | MRO distribution could capture fragmented, non-glamorous parts demand as AI infrastructure suppliers stretch lead times | No direct AI-specific positioning found; broad industrial MRO distribution. | Strict only | |
| 90 | ROCK NASDAQ | Gibraltar Industries United States / US | 61.3 | $41.26 $1.30B -17.7% YTD | Industrial equipment | Low Medium evidence | Building, renewable and infrastructure products could be repurposed into non-obvious facility components | No direct AI-data-center supplier evidence found; building and infrastructure products. | Strict only | |
| 91 | RBC NYSE | RBC Bearings United States / US | 60.8 | $593.89 $19.3B +29.4% YTD | Motion / mechanical | Low Medium evidence | High-reliability bearings and components could map to robotics/aerospace-grade automated manufacturing | No direct AI infrastructure supplier evidence found; aerospace/industrial bearing focus. | Strict only | |
| 92 | ODC NYSE | Oil-Dri United States / US | 59.9 -2.4 rerate | $101.94 $1.46B +110.4% YTD | Materials / chemicals | Low High evidence | Engineered clay minerals/sorbents could be relevant to filtration, humidity control, spill management and facility resilience | No direct AI supply-chain positioning found; absorbent minerals and products. | Strict only | |
| 93 | REH.AX ASX | Reece Australia / Non-US | 57.1 | AUD 15.79 $7.01B +18.4% YTD | Distribution / MRO | Medium Medium evidence | Plumbing and HVAC distribution could become a local bottleneck aggregator for water-intensive compute sites | No direct AI supplier evidence found; plumbing/HVAC distribution. | Strict only | |
| 94 | KWR NYSE | Quaker Houghton United States / US | 56.0 | $147.52 $2.77B +6.2% YTD | Materials / chemicals | Medium Medium evidence | Process fluids, lubricants and surface-treatment chemistry could support high-throughput metalworking or coolant-adjacent niches | No direct AI-data-center/fab supplier positioning found in spot checks; industrial process fluids focus. | Strict only | |
| 95 | GURN.SW SIX | Gurit Switzerland / Non-US | 42.8 -9.2 rerate | CHF 39.3 $0.22B +233.1% YTD | Materials / chemicals | Low Medium evidence | Composite materials expertise could support lightweight structures, enclosures and advanced manufacturing cells | No direct AI infrastructure evidence found; composites for wind/marine/industrial applications. | Strict only |
Strict mind map
Top U.S. strict alpha
Top non-U.S. strict alpha
Factor heatmap
Excluded categories
Top 5 radar
Direct AI-chain exclusions
These are not necessarily bad companies. They were removed because their AI participation is already too direct for the stricter question.
GLW / CorningOptical connectivity/fiber
Nvidia partnership to expand optical connectivity for AI data centers
JCI / Johnson ControlsData-center cooling/secur...
Raised forecast on data-center thermal management/cooling demand
SU.PA / Schneider ElectricData-center power/cooling
Strong data-center demand and Nvidia/data-center cooling/power positioning
IFX.DE / InfineonAI data-center power semi...
2026 outlook lifted by AI data-center power-supply demand
FLEX / FlexCloud/power/cooling infra...
Spinning off AI data-center infrastructure unit
VRT / VertivData-center power/cooling
Direct liquid cooling and data-center infrastructure supplier
ETN / EatonData-center power/cooling
Acquired Boyd Thermal to expand data-center segment
MOD / ModineData-center cooling
Direct AI/data-center cooling supplier; stock already repriced on thesis
VMI / ValmontGrid/utility for AI data ...
Company materials indicate data centers and AI-related infrastructure contributing to demand
BLD / TopBuildData-center construction/...
QXO deal framed around exposure to large complex projects like data centers
APG / APi GroupData-center fire/safety s...
Reported/expected data-center revenue contribution
AALB.AS / AalbertsSemiconductor/fab equipme...
Official advanced mechatronics pages describe semiconductor machine frames/vacuum chambers
IEX / IDEXSemiconductor fluid handling
Trebor unit serves ultra-pure semiconductor fluid handling/heating applications
MGAM.L / Morgan Advanced MaterialsSemiconductor processing ...
Official pages describe ceramic/carbon components for semiconductor processing
VCT.L / VictrexSemiconductor polymers
Official semiconductor page describes PEEK uses in semiconductor technologies
BESI.AS / BE Semiconductor IndustriesAdvanced packaging/hybrid...
Advanced packaging/hybrid-bonding tools tied to AI-chip packaging
AMAT / Applied MaterialsWafer-fab equipment
AI demand drives chipmaking tool orders
AMKR / AmkorAdvanced packaging
Arizona advanced-packaging campus with Nvidia/Apple/TSMC relevance
TXN / Texas InstrumentsAI data-center analog/pow...
AI data centers driving analog chip demand
HPS.A.TO / Hammond Power SolutionsTransformers/data-center ...
Direct transformer/electrification beneficiary from data centers
VLX.L / VolexHigh-speed copper interco...
Direct 400G/800G/1.6T data-center interconnect positioning
MTRS.ST / MuntersData-center cooling
Direct data-center cooling exposure
2308.TW / Delta ElectronicsAI data-center power/cooling
Key supplier of power/cooling systems for AI data centers
ASML / ASMLLithography/fab
Core semiconductor lithography supplier
MKSI / MKS InstrumentsSemiconductor/electronics...
Focusing on chipmaking sector with AI demand exposure
Ranked universe
100 latent AI public-company nodes
The table keeps the score, the asset, the thesis, catalysts, risks, and source-link count visible together, because alpha quality depends on the whole row.
Showing 102 of 102 companies
| Rank | Ticker | Company | Score | Cases | Price / cap | Theme | Latent AI asset | Thesis | Catalysts / risks | Sources |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | BDC NYSE | Belden United States / US | 94.7 High | $105.84 $4.66B -10.2% YTD | Connectivity & IT/OT Emerging | Industrial data networking, fiber/copper connectivity and edge infrastructure | A quiet backbone of IT/OT convergence: industrial networks, mission-critical data movement and fiber/copper links can become the data layer for edge AI and AI-era factories. | Catalysts: Factory data layer upgrades; data-center/network cabling demand; margin mix shift toward solutions. Risks: Industrial cycle; inventory digestion; competition from larger network vendors. | 5 | |
| 2 | ENS NYSE | EnerSys United States / US | 94.6 High | $199.68 $7.54B +32.5% YTD | Power & Grid Latent | Batteries, UPS backup and stored-energy systems | AI data centers need resilient power, ride-through and backup energy; EnerSys is a power reliability supplier that is not generally treated as an AI stock. | Catalysts: UPS refresh cycle; grid constraints; reserve-power margin expansion. Risks: Lead/lithium input costs; telecom capex; execution on newer energy systems. | 5 | |
| 3 | VLX.L LSE AIM | Volex United Kingdom / Non-US | 93.8 High | GBp 507.48 $1.34B +22.9% YTD | Connectivity & Photonics Emerging | High-speed copper interconnects, power cords and connectors | A neglected AIM-listed cable/interconnect maker supplying 400G/800G/emerging 1.6T data-centre links, with diversified industrial and EV exposure. | Catalysts: 1.6T interconnect adoption; hyperscale demand; operating margin target delivery. Risks: Customer concentration; M&A leverage; UK small-cap discount. | 6 | |
| 4 | ROG NYSE | Rogers United States / US | 90.7 High | $135.41 $2.84B +47.2% YTD | Semi/Advanced Materials Latent | Thermal, high-frequency and power-electronics materials | Materials that dissipate heat and route high-speed/power signals can matter to AI accelerators, power electronics and RF systems; sentiment remains cyclical and activist-sensitive. | Catalysts: Electronics recovery; activist pressure; thermal-interface and aerospace/defense demand. Risks: Weak wireless/EV cycles; small scale; execution after management changes. | 5 | |
| 5 | ITRI NASDAQ | Itron United States / US | 90.3 High | $84.05 $3.73B -11.0% YTD | Power & Grid Latent | Smart meters, grid endpoints and utility data networks | The AI power bottleneck increases the value of granular grid telemetry; Itron owns installed endpoints and software needed for demand response and grid visibility. | Catalysts: AMI rollouts; utility resilience spending; water/energy analytics attach. Risks: Utility procurement delays; hardware margins; project concentration. | 5 | |
| 6 | TWEKA.AS Euronext Amsterdam | TKH Group Netherlands / Non-US | 90.0 High | EUR 42.62 $2.00B +14.3% YTD | Connectivity & Automation Latent | Vision systems, fiber/connectivity and electrification assets | A Dutch portfolio of machine vision, connectivity and electrification assets; the planned separation can crystallize hidden AI-adjacent value. | Catalysts: Automation/electrification separation; non-core divestments; machine-vision recovery. Risks: Portfolio complexity; European industrial softness; execution of separation. | 5 | |
| 7 | CRL.MI Borsa Italiana | CAREL Industries Italy / Non-US | 89.0 High | EUR 28.8 $3.98B +20.3% YTD | Thermal & Water Emerging | HVAC/refrigeration controls and data-center cooling controls | Cooling controls can be the intelligence layer for high-density data centers, yet CAREL is still mostly viewed as HVAC/refrigeration automation. | Catalysts: U.S. HVAC strength; data-center controls; energy-efficiency regulation. Risks: European cycle; family/controlled liquidity; competition from larger HVAC controls. | 5 | |
| 8 | IPGP NASDAQ | IPG Photonics United States / US | 88.7 Medium | $102.28 $4.34B +36.7% YTD | Connectivity & Photonics Latent | Fiber lasers and amplifiers for precision manufacturing | Fiber lasers are not an AI model, but advanced manufacturing, photonics and sensor systems can pull IPG into AI-enabled industrial production. | Catalysts: Industrial capex recovery; laser welding/cutting automation; photonics optionality. Risks: China competition; cyclical industrial demand; margin pressure. | 5 | |
| 9 | OSIS NASDAQ | OSI Systems United States / US | 88.3 Medium | $217.42 $3.72B -14.9% YTD | Sensors & Security Latent | Inspection, imaging and security scanning systems | Security/scanning hardware creates high-value imaging data; AI inference can improve inspection throughput without OSI being priced as an AI platform. | Catalysts: Port/security modernization; defense and border spending; software attach. Risks: Government-contract timing; export controls; backlog conversion. | 4 | |
| 10 | SENS.SW SIX | Sensirion Switzerland / Non-US | 88.3 High | CHF 78.1 $1.59B +26.0% YTD | Sensors & Measurement Latent | Flow, humidity, gas and environmental sensors | Environmental sensors are the measurement layer for cooling, HVAC, robotics and edge AI; Sensirion is a high-quality niche sensor company. | Catalysts: A2L/HVAC sensors; industrial sensing; medical/auto design wins. Risks: Swiss franc; premium quality multiple; product-cycle timing. | 5 | |
| 11 | VIAV NASDAQ | VIAVI Solutions United States / US | 86.6 High -3.3 rerate | $40.7 $10.0B +124.2% YTD | Connectivity & Photonics Emerging | Optical test, assurance and timing for networks/data centers | Every AI cluster and interconnect needs verification; VIAVI is a tollbooth on optical/network testing rather than a chip hype name. | Catalysts: 800G/1.6T testing; telecom recovery; data-center ecosystem assurance. Risks: Carrier capex weakness; acquisition integration; pricing pressure. | 5 | |
| 12 | MRCY NASDAQ | Mercury Systems United States / US | 85.4 Speculative | $112.41 $6.75B +47.9% YTD | Defense/Space/Edge Latent | Rugged edge processing, RF and mission-compute modules | Defense AI needs deployable compute and sensor processing; prior execution issues keep the crowd skeptical despite strategic relevance. | Catalysts: Defense electronics recovery; edge AI modules; operating turnaround. Risks: Program delays; margin execution; balance-sheet and customer concentration. | 4 | |
| 13 | OXIG.L LSE | Oxford Instruments United Kingdom / Non-US | 84.7 Medium | GBp 2,828 $2.29B +37.6% YTD | Semi/Advanced Materials Emerging | Semiconductor, imaging, cryogenics and scientific tools | Semiconductor, quantum and imaging tools give Oxford latent leverage to AI hardware R&D and advanced metrology without being a mainstream AI stock. | Catalysts: Semiconductor growth; cryogenic/quantum demand; imaging division recovery. Risks: Research capex; China exposure; premium valuation. | 5 | |
| 14 | DSCV.L LSE | discoverIE Group United Kingdom / Non-US | 84.5 High | GBp 646 $0.93B +9.3% YTD | Power & Components Latent | Customised industrial electronics and sensors | A custom electronics compounder with industrial sensing and power niches; it can quietly supply edge-AI and electrification applications without AI branding. | Catalysts: Order recovery; operating margin target upgrade; acquisitions. Risks: UK small-cap discount; industrial cycle; M&A execution. | 5 | |
| 15 | CCC NASDAQ | CCC Intelligent Solutions United States / US | 84.4 High | $5.43 $2.94B -31.0% YTD | Distribution/Services Emerging | Decades of proprietary collision-claims, repair-cost and parts data plus the network rails connecting 300+ insurers, ~30k repair shops, OEMs and parts suppliers - the only training corpus and distribution channel of its kind for P&C claims AI (photo estimating, casualty/bodily-injury AI, subrogation). | A 40-year proprietary auto-claims data monopoly with deployed, paid AI at scale - and the stock has been cut in half during an AI bull tape. Q1 2026 revenue grew 12% to $281M with 43% adjusted EBITDA margins, and roughly $100M (10% of revenue) now comes from AI-based solutions adopted by 125+ insurers and 15,000+ repair facilities. The market is pricing the AI attach optionality at zero while paying ~7-8x EV/EBITDA for sticky 10-12% growth vertical software. | Catalysts: Quarterly AI-revenue disclosures (AI drove ~1/3 of growth); casualty platform wins ramping; FY26 guide $1.155-1.163B reiterated; Advent/Dragoneer PE share overhang clearing; potential buyback against depressed price; large-insurer AI estimating conversions moving from low single-digit to double-digit claim share. Risks: ADAS-driven decline in accident frequency shrinks claim volumes; persistent PE-holder selling and high stock comp; GAAP P/E optically high (84x); Mitchell/Solera competition; insurer concentration. | 1 | |
| 16 | HPS.A.TO TSX | Hammond Power Solutions Canada / Non-US | 84.2 High -1.3 rerate | CAD 315.9 $2.66B +94.4% YTD | Power & Grid Emerging | Dry-type transformers and custom power-distribution equipment | Small enough to remain underfollowed, but directly exposed to transformer shortages, electrification and data-centre expansion. | Catalysts: Transformer backlog; U.S. data-centre/custom-engineered demand; capacity expansion. Risks: Transformer-cycle normalization; Canadian liquidity; input costs. | 5 | |
| 17 | RSW.L LSE | Renishaw United Kingdom / Non-US | 84.1 Medium | GBp 4,690 $4.93B +32.1% YTD | Sensors & Measurement Latent | Precision metrology, encoders and additive manufacturing | AI-enabled manufacturing and robotics require precision measurement; Renishaw is strategic but often screened as a slow industrial metrology name. | Catalysts: Metrology recovery; robotics/automation design wins; additive manufacturing. Risks: Industrial cycle; ownership structure; valuation. | 5 | |
| 18 | ESE NYSE | ESCO Technologies United States / US | 83.8 Medium | $331.93 $8.63B +68.0% YTD | Sensors & Measurement Latent | RF shielding, filtration, test and utility solutions | A niche measurement and shielding portfolio sits near electrification, defense electronics and test environments needed around higher-density compute. | Catalysts: Utility spending; aerospace/defense electronics; acquisition integration. Risks: Niche end-market cyclicality; small-cap liquidity; multiple already quality-premium. | 4 | |
| 19 | APG NYSE | APi Group United States / US | 83.4 Medium | $41.47 $18.0B +6.4% YTD | Data Center Services Emerging | Fire/life safety and specialty services for critical facilities | Safety, suppression and inspection services are mandatory in high-density data centers but usually ignored in AI supply-chain screens. | Catalysts: Data-center service contracts; inspection/monitoring digitization; margin expansion. Risks: Labor costs; acquisition integration; commercial construction cycle. | 4 | |
| 20 | MTSI NASDAQ | MACOM Technology Solutions United States / US | 83.4 Medium | $305.23 $23.3B +74.5% YTD | Connectivity & Photonics Emerging | RF, microwave, analog and optical semiconductors | MACOM sits in RF/optical signal chains that support high-speed networks and defense sensing, with less pure-AI crowding than the largest AI semis. | Catalysts: Optical/datacom components; defense RF demand; margin expansion. Risks: Semiconductor cyclicality; valuation; customer concentration. | 4 | |
| 21 | TTG.L LSE | TT Electronics United Kingdom / Non-US | 82.8 Speculative | GBp 117.6 $0.28B -0.3% YTD | Power & Components Latent | Sensors, power conversion and electronics manufacturing | A small UK electronics supplier that senses, powers and connects regulated-market devices; it is a hidden edge-AI component candidate. | Catalysts: Aerospace/defense power; medical electronics; automation/electrification wins. Risks: Small scale; margins; UK liquidity. | 5 | |
| 22 | WTS NYSE | Watts Water Technologies United States / US | 82.4 Medium | $348.05 $11.9B +24.9% YTD | Thermal & Water Latent | Valves, sensors and water/thermal controls | AI data centers need water stewardship and thermal control; Watts is a quiet water/flow control compounder. | Catalysts: Data-center water constraints; smart valve/sensor adoption; building efficiency regulation. Risks: Residential/non-residential cycle; premium valuation; raw-material costs. | 4 | |
| 23 | AALB.AS Euronext Amsterdam | Aalberts Netherlands / Non-US | 82.3 Medium | EUR 39.32 $5.00B +37.9% YTD | Thermal & Water Latent | Hydronic flow control, precision components and surface technologies | Hydronic flow and thermal control are needed for efficient cooling; Aalberts offers niche industrial/building technologies at a non-AI multiple. | Catalysts: Hydronic HVAC/data-centre demand; portfolio focus; European recovery. Risks: European building cycle; conglomerate discount; indirect AI exposure. | 4 | |
| 24 | ATS.TO TSX/NYSE | ATS Corporation Canada / Non-US | 82.0 Medium | CAD 38.52 $2.77B +0.6% YTD | Industrial Automation & Robotics Latent | Custom automation systems for advanced manufacturing | Custom automation is the physical implementation layer for AI-enhanced factories, life sciences and energy manufacturing. | Catalysts: Order recovery; EV/battery and life-science projects; margin improvement. Risks: Large project timing; leverage; industrial capex softness. | 5 | |
| 25 | SMTC NASDAQ | Semtech United States / US | 82.0 Speculative | $128.84 $12.0B +71.2% YTD | Connectivity & Components Emerging | LoRa, signal integrity and IoT connectivity chips/modules | Edge AI needs low-power connectivity and telemetry; Semtech offers IoT and high-speed signal chain optionality after a difficult acquisition cycle. | Catalysts: LoRa ecosystem; data-center signal products; balance-sheet improvement. Risks: Debt/integration; telecom/IoT cyclicality; execution risk. | 4 | |
| 26 | ATKR NYSE | Atkore United States / US | 81.7 Medium | $68.92 $2.34B +7.0% YTD | Power & Grid Emerging | Electrical conduit, cable management and infrastructure products | Conduit and cable management are banal but necessary in data centers and electrification builds; multiple compressed after normalization. | Catalysts: Electrical infrastructure projects; data-center/solar demand; portfolio simplification. Risks: Pricing normalization; construction slowdown; commodity exposure. | 5 | |
| 27 | WLY NYSE | John Wiley & Sons United States / US | 81.4 High | $50.3 $2.68B +70.5% YTD | Distribution/Services Emerging | 200+ years of scientific publishing IP: ~1,600 journals, hundreds of thousands of book titles, and the peer-review pipeline producing fresh, rights-cleared training and grounding data that LLM labs cannot scrape legally. | One of only three scale owners of rights-cleared, peer-reviewed scientific corpus on earth (Elsevier and Springer being the others, one giant and one private), trading at ~15x earnings and ~11x free cash flow as a 'dying publisher' while its AI licensing line inflects: $29M in Q1 FY26 alone versus $40M for all of FY24, over $100M lifetime, and a strategic partnership with Anthropic to pipe institutional library subscriptions into AI tools. As frontier labs pivot to AI-for-science, vetted scientific content becomes a recurring toll, not a one-off. | Catalysts: Recurring multi-lab AI licensing deals (now including syndicating other publishers' content); Anthropic institutional partnership rollout; quarterly AI-revenue disclosure cadence; FY26 guide of $3.90-4.35 adjusted EPS and ~$200M FCF on a $2.3B market cap; copyright case law hardening the value of licensed corpora. Risks: Licensing deals are lumpy and could plateau; an adverse fair-use ruling would weaken pricing power; core publishing revenue slightly negative (-1.7% in Q2); long-term risk that AI agents disintermediate journal consumption. | 1 | |
| 28 | MGAM.L LSE | Morgan Advanced Materials United Kingdom / Non-US | 81.3 Speculative | GBp 210 $0.79B -5.4% YTD | Semi/Advanced Materials Special Situation | Thermal ceramics, carbon and technical ceramic materials | Thermal ceramics and semiconductor materials are relevant to power/heat constraints, but the market is focused on weak semicap/European industrial demand. | Catalysts: Semiconductor stabilization; margin simplification; thermal products recovery. Risks: Weak semicap demand; European industrial slowdown; restructuring risk. | 5 | |
| 29 | AZZ NYSE | AZZ Inc. United States / US | 81.3 Medium | $143.6 $4.50B +30.9% YTD | Power & Grid Latent | Metal coatings and precoat metals for infrastructure | AI data centers, substations and transmission all need protected metal infrastructure; AZZ is a second-derivative electrification pick. | Catalysts: Grid/industrial construction; galvanizing capacity; infrastructure spending. Risks: Steel cycle; construction delays; less direct AI revenue linkage. | 5 | |
| 30 | XPP.L LSE | XP Power Singapore / Non-US | 80.7 High -1.6 rerate | GBp 1,778 $0.73B +98.9% YTD | Power & Components Latent | Power converters for semiconductor, healthcare and industrial equipment | A turnaround power-converter specialist; AI semicap and industrial electrification can pull demand before the market fully trusts the recovery. | Catalysts: Semiconductor equipment recovery; debt reduction; margin rebuild after factory actions. Risks: Balance-sheet sensitivity; cyclical orders; prior execution issues. | 5 | |
| 31 | MTRS.ST Nasdaq Stockholm | Munters Group Sweden / Non-US | 80.2 Medium | SEK 161.2 $3.27B -16.6% YTD | Thermal & Water Discovered | Air and liquid cooling for data centers and industrial climate control | Munters has direct cooling exposure, but the data-center angle is now visible; upside depends on liquid-cooling scale and valuation discipline. | Catalysts: Liquid cooling; energy-efficient data-center orders; capacity expansion. Risks: Crowd discovery; customer concentration; cooling-technology shifts. | 5 | |
| 32 | AMS.SW SIX | ams-OSRAM Austria / Non-US | 80.2 Speculative -2.6 rerate | CHF 18.41 $2.42B +113.7% YTD | Sensors & Photonics Special Situation | Optical emitters, sensors and illumination components | Optical sensing/emitters can feed edge AI, robotics and datacom, while balance-sheet and consumer-cycle scars keep expectations low. | Catalysts: Portfolio deleveraging; optical sensing recovery; automotive/industrial design wins. Risks: Debt; smartphone/auto cycles; execution and dilution risk. | 4 | |
| 33 | BEAN.SW SIX | Belimo Holding Switzerland / Non-US | 80.1 Medium | CHF 801.5 $13.7B -1.7% YTD | Thermal & Water Emerging | HVAC actuators, valves, sensors and meters | Belimo is a superb HVAC control compounder with data-center relevance, but valuation and growing market awareness reduce alpha. | Catalysts: Data-center HVAC growth; U.S. building controls; energy-efficiency regulation. Risks: Premium multiple; Swiss franc; crowd discovery. | 5 | |
| 34 | TRMB NASDAQ | Trimble United States / US | 80.0 Medium | $52.4 $12.2B -33.1% YTD | Sensors & Measurement Latent | Geospatial, positioning and construction data systems | AI models for construction, logistics and autonomy need precise geospatial data; Trimble has data and workflow positions but is not an AI narrative stock. | Catalysts: Construction automation; transportation optimization; subscription mix. Risks: End-market cyclicality; portfolio complexity; software transition execution. | 4 | |
| 35 | KARN.SW SIX | Kardex Switzerland / Non-US | 80.0 Medium | CHF 240 $2.39B -14.9% YTD | Industrial Automation & Robotics Latent | Warehouse automation, shuttle systems and light-goods robotics | Warehouse automation becomes more AI-levered as orchestration software improves; Kardex is a focused automation asset, not an AI platform name. | Catalysts: Bookings momentum; lightgoods portfolio expansion; logistics automation cycle. Risks: Capex pauses; premium quality valuation; customer project timing. | 5 | |
| 36 | VCM.TO TSX | Vecima Networks Canada / Non-US | 80.0 Speculative | CAD 12.67 $0.22B +21.8% YTD | Connectivity & Photonics Latent | Cable/fiber access and cloud-native broadband platforms | Distributed AI and edge compute need upgraded broadband/fiber access; Vecima is small, technical and underfollowed. | Catalysts: DOCSIS 4.0 rollouts; vCMTS adoption; customer transition from qualification to deployment. Risks: Customer concentration; cable capex cycles; small-cap liquidity. | 5 | |
| 37 | POWL NASDAQ | Powell Industries United States / US | 79.9 Medium -1.5 rerate | $231.85 $9.04B +97.3% YTD | Power & Grid Emerging | Custom switchgear and electrical power distribution systems | Switchgear is a bottleneck in data-center power delivery; Powell has real exposure, but the stock has already had a large run, lowering fresh alpha. | Catalysts: Utility/commercial backlog; data-center electrical rooms; capacity expansion. Risks: Cyclical orders; crowd discovery; margin normalization after record cycle. | 5 | |
| 38 | INTT NYSE American | inTEST Corporation United States / US | 78.8 Speculative -1.1 rerate | $14.49 $0.19B +92.2% YTD | Semi/Advanced Materials Latent | Thermal process and semiconductor test equipment | Tiny supplier of thermal/test capability: high optionality if AI chip packaging and burn-in/test demand broadens beyond the obvious semicap names. | Catalysts: Semicap recovery; advanced packaging test; operating leverage from small revenue base. Risks: Microcap liquidity; customer concentration; cyclicality. | 4 | |
| 39 | INRN.SW SIX | Interroll Switzerland / Non-US | 78.6 Medium | CHF 1,308 $1.40B -42.0% YTD | Industrial Automation & Robotics Latent | Conveyor, sorter and material-flow systems | AI warehouse orchestration needs reliable physical flow; Interroll is a pick-and-shovel for logistics automation. | Catalysts: Warehouse automation recovery; sorter projects; robotics integration. Risks: Cyclical capex; premium quality multiple; slow European demand. | 4 | |
| 40 | KRX.IR Euronext Dublin | Kingspan Group Ireland / Non-US | 78.2 High | EUR 77.25 $16.8B +5.0% YTD | Data Center Services Emerging | Advnsys division (Tate access floors, containment, structural ceilings) - EUR 1.66B revenue data-center infrastructure business buried inside a building-materials cyclical, with backlog +24% and 2026 order intake 2x YoY | Kingspan is priced as a depressed European insulated-panel/construction cyclical, but its Advnsys division (Tate raised access floors, aisle containment, structural ceilings, DC airflow infrastructure) is a quietly dominant data-center white-space franchise: FY25 Advnsys revenue EUR 1.66B (+12%), trading profit EUR 184.5M (+17%), year-end backlog +24%, and 2026 order intake running at DOUBLE the prior-year pace. Tate is the de facto standard for hyperscale raised floor and containment - a small-dollar but schedule-critical line item in every shell fit-out. The other ~80% of the business gives you a free option on EU construction recovery while the DC unit compounds. | Catalysts: Capacity ramps underway in US, Middle East and Asia specifically for data-center demand; H1 2026 results showing Advnsys order intake doubling; growing disclosure of the division could force sum-of-parts re-rating; any EU construction stabilization adds a second leg Risks: 82% of revenue still tied to weak European/global construction; Advnsys growth could be diluted at group level; raised-floor content per MW can shrink in liquid-cooled slab-on-grade designs; historical Grenfell-related reputational overhang | 1 | |
| 41 | AUTO.OL Oslo | AutoStore Holdings Norway / Non-US | 77.7 Medium | NOK 11.5 $4.18B -4.6% YTD | Industrial Automation & Robotics Emerging | Cube-storage robotics for warehouses | Robotic cube storage becomes more valuable with AI orchestration; the stock’s prior derating creates asymmetry but competition remains intense. | Catalysts: Warehouse automation rebound; software optimization; retail/logistics projects. Risks: Competition; patent/technology risk; project delays. | 4 | |
| 42 | ZBRA NASDAQ | Zebra Technologies United States / US | 77.6 Medium | $264.32 $12.6B +6.5% YTD | Sensors & Measurement Latent | Barcode/RFID, machine vision and warehouse data capture | AI needs clean operational data; Zebra supplies identity, tracking and machine-vision endpoints, but warehouse spending must recover. | Catalysts: Retail/logistics refresh; machine vision; RFID and workflow data. Risks: Retail capex; premium valuation; hardware cyclicality. | 4 | |
| 43 | MDA.TO TSX | MDA Space Canada / Non-US | 77.6 Medium -1.6 rerate | CAD 54.9 $5.51B +98.7% YTD | Defense/Space/Edge Emerging | Satellite systems, robotics and geointelligence | Space data, robotics and geointelligence are high-value AI inputs; MDA is a public space/robotics asset with strong backlog but less U.S. investor coverage. | Catalysts: Satellite programs; Canadarm3/robotics; geointelligence data monetization. Risks: Government program risk; space project execution; valuation after growth. | 5 | |
| 44 | BMI NYSE | Badger Meter United States / US | 77.1 Medium | $144.45 $4.26B -18.1% YTD | Sensors & Measurement Latent | Smart water meters and flow instrumentation | Data-center water consumption makes measurement and leak detection valuable; Badger is a premium-quality sensor/utility data play. | Catalysts: Smart water adoption; municipal resilience budgets; software attach. Risks: Valuation; municipal project timing; less direct AI monetization. | 4 | |
| 45 | LFUS NASDAQ | Littelfuse United States / US | 76.8 Medium | $401.56 $10.2B +53.0% YTD | Power & Components Latent | Circuit protection, power semis and sensors | Circuit protection and sensors become more important as data-center power density and edge devices scale, but LFUS is still viewed as a cyclical industrial/electronics compounder. | Catalysts: Power semiconductor recovery; data-center protection products; industrial rebound. Risks: Auto/industrial slowdown; channel destocking; acquisition execution. | 4 | |
| 46 | RRX NYSE | Regal Rexnord United States / US | 76.3 Medium | $208.44 $13.9B +42.7% YTD | Power & Components Latent | Motors, power transmission and automation components | Motors, drives and power transmission are needed in cooling, robotics and factory automation; Regal is more of a cyclical industrial synergy story than an AI story. | Catalysts: Industrial recovery; synergy delivery; data-center HVAC and automation demand. Risks: Leverage; integration risk; cyclical end markets. | 4 | |
| 47 | KN NYSE | Knowles United States / US | 76.3 Speculative | $35.03 $2.95B +59.6% YTD | Sensors & Measurement Latent | MEMS microphones, capacitors and acoustic interfaces | Edge voice and sensor capture could become more valuable as AI moves to devices; Knowles remains a neglected component story. | Catalysts: Edge-AI devices; acoustic sensor wins; specialty capacitors. Risks: Consumer electronics exposure; pricing pressure; slow design cycles. | 4 | |
| 48 | TDY NYSE | Teledyne Technologies United States / US | 75.6 Medium | $639.51 $29.6B +23.3% YTD | Sensors & Measurement Latent | Imaging sensors, instrumentation and defense/aerospace electronics | Teledyne owns sensor/imaging assets that feed AI models in defense, industrial and scientific markets; size and valuation reduce early-alpha asymmetry. | Catalysts: Defense sensing; machine vision; scientific instrumentation recovery. Risks: Large-cap discovery; valuation; government project timing. | 4 | |
| 49 | VNT NYSE | Vontier United States / US | 75.4 Speculative | $28.52 $4.02B -24.6% YTD | Sensors & Measurement Latent | Mobility infrastructure, diagnostics and field-device networks | Vontier owns device networks and diagnostics in mobility/retail fueling that could become edge-data infrastructure, but the AI case is early and non-consensus. | Catalysts: EV charging/fleet infrastructure; diagnostics software; portfolio refocus. Risks: Fueling end-market decline; debt; uncertain AI relevance. | 4 | |
| 50 | MWA NYSE | Mueller Water Products United States / US | 74.7 Medium | $24.75 $4.27B +3.4% YTD | Thermal & Water Latent | Water infrastructure valves, hydrants and monitoring | Data-center and municipal water stress makes resilient pipes, valves and monitoring more strategic than the market usually assumes. | Catalysts: Municipal capex; leak detection; industrial water projects. Risks: Municipal funding cycle; execution; indirect AI link. | 4 | |
| 51 | PRY.MI Borsa Italiana | Prysmian Italy / Non-US | 74.7 Medium | EUR 136.35 $47.9B +51.7% YTD | Power & Grid Emerging | Power cables, fiber and grid interconnect infrastructure | Cables are a core AI-era bottleneck across grid and fiber, but Prysmian is increasingly recognized as an electrification/data-center supplier. | Catalysts: Grid interconnections; fiber demand; EHV/HVDC projects. Risks: Project execution; commodity prices; large-cap discovery. | 4 | |
| 52 | DY NYSE | Dycom Industries United States / US | 74.1 Medium | $426.7 $14.5B +22.8% YTD | Connectivity & Services Emerging | Fiber network construction and maintenance | AI-era distributed compute needs fiber backhaul; Dycom is a labor/capex execution play rather than a tech multiple story. | Catalysts: Fiber buildouts; carrier capex recovery; data-center interconnect demand. Risks: Customer concentration; labor costs; carrier budget timing. | 4 | |
| 53 | 6841.T Tokyo | Yokogawa Electric Japan / Non-US | 74.0 Medium | JPY 5,439 $9.10B +5.4% YTD | Industrial Automation & Robotics Emerging | Industrial control, measurement and plant data systems | Industrial data/control systems become the interface for autonomous operations and industrial AI; Yokogawa is diversified and not a pure AI play. | Catalysts: Process automation upgrades; cybersecurity/DX; energy efficiency projects. Risks: Oil/gas capex cyclicality; slow software mix; AI already mentioned in DX narrative. | 5 | |
| 54 | NOVT NASDAQ | Novanta United States / US | 74.0 Medium | $148.59 $5.13B +33.7% YTD | Sensors & Measurement Latent | Precision motion, photonics and medical/industrial subsystems | Precision motion and photonics subsystems support robotics and automated equipment; quality is high but valuation reduces alpha. | Catalysts: Advanced manufacturing; medical robotics; photonics modules. Risks: Valuation; industrial softness; acquisition integration. | 4 | |
| 55 | ACM NYSE | AECOM United States / US | 73.7 Medium | $67.89 $8.72B -29.6% YTD | Data Center Services Latent | Engineering/design for infrastructure and critical facilities | Engineering and permitting capacity is a hidden bottleneck in power/data-center projects; AECOM is high quality but large and diversified. | Catalysts: Power/grid design; environmental permitting; data-center campus services. Risks: Low direct AI mix; valuation; public-sector budget shifts. | 4 | |
| 56 | NEX.PA Euronext Paris | Nexans France / Non-US | 73.7 Medium | EUR 133.2 $7.11B +3.8% YTD | Power & Grid Emerging | Electrification cables and grid infrastructure | Electrification and grid cable scarcity can support AI data-center power buildout; Nexans is less obvious than some U.S. electrical names. | Catalysts: Grid cable demand; electrification margin mix; portfolio focus. Risks: European utilities cycle; project risk; copper volatility. | 4 | |
| 57 | ALFA.ST Nasdaq Stockholm | Alfa Laval Sweden / Non-US | 73.5 Medium | SEK 557.2 $24.9B +19.0% YTD | Thermal & Water Emerging | Heat exchangers, separation and fluid-handling systems | Heat exchangers and fluid handling are critical to cooling and energy efficiency, but Alfa Laval is a large quality industrial already seeing data-center attention. | Catalysts: Data-center orders; heat-transfer capex; service growth. Risks: Valuation; marine/energy cycles; large-cap discovery. | 5 | |
| 58 | 6965.T Tokyo | Hamamatsu Photonics Japan / Non-US | 73.3 Medium | JPY 2,422 $4.45B +41.8% YTD | Sensors & Measurement Latent | Photodetectors, imaging sensors and photonics modules | Photon detection is a raw-signal layer for scientific, medical, industrial and potential photonic AI systems; earnings pressure keeps enthusiasm muted. | Catalysts: Semiconductor instruments; LiDAR/scientific sensors; imaging recovery. Risks: Weak operating profit; Japan photonics competition; premium history. | 5 | |
| 59 | 010120.KS KRX | LS Electric South Korea / Non-US | 73.1 Medium -1.2 rerate | KRW 189,400 $21.5B +92.3% YTD | Power & Grid Emerging | Switchgear, automation and power infrastructure | Korean electrical infrastructure supplier with data-center/grid optionality and less global coverage than U.S. peers. | Catalysts: Korea/Asia data-center power; grid automation; overseas expansion. Risks: Korean market cyclicality; FX; discovery after transformer reratings. | 4 | |
| 60 | GRC NYSE | Gorman-Rupp United States / US | 72.3 Speculative | $78.07 $2.22B +62.2% YTD | Thermal & Water Latent | Pumps for industrial, municipal and dewatering applications | Water movement and cooling-adjacent pumping can become a quiet data-center infrastructure need, while GRC remains a traditional industrial name. | Catalysts: Municipal infrastructure; cooling/water projects; margin recovery. Risks: Industrial cyclicality; small scale; slower growth profile. | 4 | |
| 61 | 6645.T Tokyo | OMRON Japan / Non-US | 71.7 Medium | JPY 5,866 $7.38B +46.8% YTD | Industrial Automation & Robotics Emerging | Sensing, control and factory automation | Factory automation can become an AI deployment layer; Omron’s restructuring creates turnaround optionality but the AI linkage is not hidden. | Catalysts: IAB recovery; sensor/control upgrades; restructuring benefits. Risks: Japan automation cycle; China demand; execution risk. | 5 | |
| 62 | MOD NYSE | Modine Manufacturing United States / US | 71.5 Medium | $235.62 $12.4B +67.3% YTD | Thermal & Water Discovered | Data-center cooling, chillers and thermal systems | The business has clear data-center cooling leverage, but the market now recognizes it; alpha depends on execution and whether cooling remains undersupplied. | Catalysts: AI infrastructure orders; spin/simplification; long-term customer agreements. Risks: Crowd discovery; customer concentration; hyperscaler self-design risk. | 5 | |
| 63 | CGNX NASDAQ | Cognex United States / US | 71.3 Medium | $64.11 $10.6B +73.6% YTD | Industrial Automation & Robotics Emerging | Machine vision and industrial barcode systems | Machine vision is an obvious industrial AI endpoint; the alpha comes only if factory automation capex recovers before the crowd returns. | Catalysts: Factory automation recovery; logistics vision; AI vision features. Risks: Industrial capex; valuation; competitive vision software. | 4 | |
| 64 | WCC NYSE | WESCO International United States / US | 71.0 Medium | $316.15 $15.4B +25.4% YTD | Distribution/Services Emerging | Electrical, communications and utility distribution | A distributor of electrical and communications parts can quietly benefit from data-center/grid builds, though leverage and scale make it less early. | Catalysts: Data-center electrical supply; utility modernization; broadband build. Risks: Leverage; cyclicality; distributor margin pressure. | 4 | |
| 65 | KEYS NYSE | Keysight Technologies United States / US | 71.0 Medium | $317.24 $54.6B +53.6% YTD | Sensors & Measurement Emerging | Electronic design/test and network emulation | AI hardware and networks need test/validation; Keysight is a high-quality tollbooth, but the market already understands its semicap/test role. | Catalysts: 800G/1.6T; chip design validation; telecom recovery. Risks: Valuation; cyclicality; already institutionally owned. | 4 | |
| 66 | IFX.DE Xetra | Infineon Technologies Germany / Non-US | 70.6 Medium -0.9 rerate | EUR 72.32 $118.3B +89.0% YTD | Power & Components Emerging | Power semiconductors, microcontrollers and sensors | Infineon’s power chips and controllers are essential to efficient power conversion and edge devices, but it is too large and known for maximum early alpha. | Catalysts: Data-center power supplies; industrial power semis; automotive recovery. Risks: Auto/industrial weakness; valuation; China competition. | 4 | |
| 67 | MKSI NASDAQ | MKS Instruments United States / US | 70.6 Medium -2.2 rerate | $349.39 $23.6B +107.5% YTD | Semi/Advanced Materials Emerging | Vacuum, photonics, process control and advanced packaging tools | A foundational supplier to semiconductor manufacturing and packaging; less loved because of leverage/cycle concerns, but highly exposed to advanced-node capacity. | Catalysts: Semicap recovery; Atotech deleveraging/carve-out; packaging demand. Risks: Debt load; chip-cycle swings; integration execution. | 4 | |
| 68 | IESC NASDAQ | IES Holdings United States / US | 70.5 Medium | $619.29 $12.3B +52.2% YTD | Data Center Services Discovered | Electrical contracting and infrastructure services | Electrical contracting is critical for data-center expansion; the small-cap angle is attractive but performance has already drawn attention. | Catalysts: Data-center electrical projects; residential/commercial mix shift; margin strength. Risks: Labor constraints; project concentration; liquidity. | 4 | |
| 69 | 5802.T Tokyo | Sumitomo Electric Japan / Non-US | 70.4 Medium | JPY 2,401 $51.5B +43.1% YTD | Connectivity & Photonics Emerging | Optical fiber, wire harnesses and power infrastructure | A broad Japanese supplier of fiber and electrification hardware; AI campus fiber research helps, but conglomerate complexity tempers upside. | Catalysts: Multicore fiber; grid/automotive recovery; telecom demand. Risks: Conglomerate discount; auto exposure; discovery after fiber news. | 5 | |
| 70 | 6845.T Tokyo | Azbil Japan / Non-US | 70.3 Medium | JPY 1,685 $5.40B +18.4% YTD | Thermal & Water Latent | Building automation, measurement/control and lifeline systems | Building automation and control systems are key to efficient data-center/facility operations, but Azbil is still mostly valued as a Japanese control company. | Catalysts: Building automation; lifeline metering; energy efficiency retrofits. Risks: Japan large-cap valuation; divestment effects; indirect AI exposure. | 5 | |
| 71 | SPXC NYSE | SPX Technologies United States / US | 70.0 Medium | $213.56 $11.5B +5.1% YTD | Thermal & Water Discovered | HVAC, cooling towers and detection/measurement | Data-center HVAC exposure is real, but the market has increasingly identified SPX as a cooling beneficiary, lowering discovery upside. | Catalysts: HVAC backlog; data-center cooling demand; bolt-on acquisitions. Risks: Crowd discovery; valuation; HVAC order normalization. | 5 | |
| 72 | MTZ NYSE | MasTec United States / US | 69.0 Medium | $382.9 $30.3B +68.2% YTD | Connectivity & Services Emerging | Power, renewables, communications and civil infrastructure | Grid, fiber and power construction are bottlenecks for AI campuses; MasTec is broad, cyclical and not a pure AI name. | Catalysts: Grid/fiber spending; renewable interconnect; data-center power access. Risks: Project execution; leverage; labor and permitting. | 4 | |
| 73 | 6506.T Tokyo | Yaskawa Electric Japan / Non-US | 68.6 Medium | JPY 6,816 $12.0B +37.3% YTD | Industrial Automation & Robotics Emerging | Servos, motion control and industrial robots | Robots and servo drives are obvious beneficiaries of AI-enabled factories, but Yaskawa is a known automation cyclical. | Catalysts: Robotics recovery; motion-control demand; China capex rebound. Risks: China industrial weakness; competition; valuation swings. | 4 | |
| 74 | CNM NYSE | Core & Main United States / US | 68.2 Medium | $45.59 $8.82B -14.6% YTD | Thermal & Water Latent | Water, wastewater and storm-drainage distribution | Data-center water constraints could increase the value of water infrastructure distribution, but the AI linkage is indirect. | Catalysts: Municipal water capex; industrial water projects; bolt-on M&A. Risks: Valuation; housing/municipal cycle; indirect AI exposure. | 4 | |
| 75 | DPLM.L LSE | Diploma United Kingdom / Non-US | 67.8 Medium | GBp 6,745 $12.9B +27.4% YTD | Distribution/Services Emerging | Technical distribution in controls, seals and life sciences | Windy City Wire and controls exposure touch data-center infrastructure, but Diploma’s high-quality compounder valuation reduces alpha. | Catalysts: Controls growth; specialist M&A; North America data-center distribution. Risks: High multiple; M&A execution; UK/EU cyclical exposure. | 5 | |
| 76 | AVT NASDAQ | Avnet United States / US | 66.4 Speculative | $83.24 $6.83B +68.7% YTD | Distribution/Services Latent | Electronic components distribution and design-chain services | AI buildout eventually pulls broad component distribution; Avnet offers value/cycle exposure but lower strategic uniqueness. | Catalysts: Component inventory reset; AI-adjacent design wins; cash generation. Risks: Low margins; inventory cycle; limited pricing power. | 4 | |
| 77 | HUBB NYSE | Hubbell United States / US | 66.1 Medium | $480.5 $25.3B +3.8% YTD | Power & Grid Discovered | Electrical and utility components | Hubbell is a best-in-class utility/electrical supplier, but the electrification thesis is already widely owned. | Catalysts: Grid hardening; data-center electrical demand; utility capex. Risks: Valuation; crowd discovery; rate-sensitive utility spending. | 4 | |
| 78 | BESI.AS Euronext Amsterdam | BE Semiconductor Industries Netherlands / Non-US | 66.0 Medium | EUR 250.8 $24.7B +68.2% YTD | Semi/Advanced Materials Discovered | Die attach and hybrid bonding equipment | BESI is structurally tied to advanced packaging for AI chips, but the market has long identified that thesis. | Catalysts: Hybrid bonding adoption; AI accelerator packaging; memory recovery. Risks: Semicap cycle; high expectations; valuation. | 4 | |
| 79 | VACN.SW SIX | VAT Group Switzerland / Non-US | 65.4 Medium | CHF 670.6 $26.4B +55.0% YTD | Semi/Advanced Materials Emerging | Vacuum valves for semiconductor equipment | A dominant vacuum-valve supplier to semicap; strategically vital, but quality valuation and semicap discovery limit alpha. | Catalysts: Semicap capex recovery; advanced node intensity; service/aftermarket. Risks: Premium valuation; chip capex cycle; large customer exposure. | 4 | |
| 80 | IFCN.SW SIX | INFICON Switzerland / Non-US | 65.3 Medium | CHF 166.2 $5.44B +59.5% YTD | Sensors & Measurement Latent | Vacuum instrumentation, leak detection and process sensors | Process sensors and leak detection are essential for fabs and high-reliability manufacturing; INFICON is high quality but expensive. | Catalysts: Semicap recovery; process-control intensity; industrial sensing. Risks: Premium multiple; Swiss franc; cyclical semicap orders. | 4 | |
| 81 | 5803.T Tokyo | Fujikura Japan / Non-US | 64.9 Low | JPY 4,938 $55.0B +60.6% YTD | Connectivity & Photonics Discovered | Optical fiber, cabling and data-center connectivity | Fujikura is a textbook example of an under-the-radar AI-infra supplier that the crowd has now discovered; useful as a control, not a fresh-alpha name. | Catalysts: Optical capacity; AI cluster cabling; factory expansion. Risks: Massive rerating; expectation risk; fiber cycle. | 5 | |
| 82 | CIEN NYSE | Ciena United States / US | 64.9 Medium -0.3 rerate | $440.97 $62.4B +79.2% YTD | Connectivity & Photonics Discovered | Optical networking systems and coherent technology | Optical transport is core to AI-era connectivity; Ciena is not a pure AI stock but the optical thesis is increasingly obvious. | Catalysts: 800G/1.6T transport; cloud interconnect; telecom recovery. Risks: Carrier capex; margin volatility; crowding into optical names. | 4 | |
| 83 | STRL NASDAQ | Sterling Infrastructure United States / US | 64.1 Medium -2.1 rerate | $660.72 $20.7B +107.0% YTD | Data Center Services Discovered | Site development, e-infrastructure and civil construction | A data-center site-prep and e-infrastructure beneficiary, but the market has started to discover the construction angle. | Catalysts: Data-center campus buildout; transportation/infrastructure backlog; margins. Risks: Construction cyclicality; valuation rerating; project execution. | 4 | |
| 84 | SMHN.DE Xetra | SÜSS MicroTec Germany / Non-US | 63.8 Medium -1.7 rerate | EUR 81.6 $1.91B +99.8% YTD | Semi/Advanced Materials Discovered | Lithography, bonding and advanced packaging tools | Advanced packaging tools are important for AI chips, but SÜSS has already been pulled into the semicap AI screen. | Catalysts: Hybrid bonding; advanced packaging capex; memory/logic recovery. Risks: Cyclical semicap orders; valuation; capacity execution. | 4 | |
| 85 | COHR NYSE | Coherent United States / US | 63.3 Medium | $317.05 $62.0B +63.1% YTD | Connectivity & Photonics Discovered | Optical transceivers, lasers and advanced materials | A real optical/laser AI infrastructure beneficiary, but far from undiscovered; alpha depends on sustained optical scarcity. | Catalysts: AI datacom transceivers; lasers; manufacturing leverage. Risks: Debt; cyclicality; hype/expectation risk. | 4 | |
| 86 | FN NYSE | Fabrinet Cayman Islands / Thailand / Non-US | 62.9 Medium | $480.07 $22.1B +0.1% YTD | Connectivity & Photonics Discovered | Contract manufacturing for optical communications products | Fabrinet makes optical equipment for AI/datacom supply chains, but it is already widely owned as an optical AI beneficiary. | Catalysts: 800G/1.6T manufacturing; customer demand; margin stability. Risks: Customer concentration; Thailand geopolitics/supply chain; crowding. | 4 | |
| 87 | VSH NYSE | Vishay Intertechnology United States / US | 62.7 Medium -6.3 rerate | $42.19 $6.47B +175.9% YTD | Power & Components Latent | Passives, discretes, sensors and power components | AI power chains still need mundane passives and discretes; Vishay offers cheap cyclicality and broad power-component exposure. | Catalysts: Inventory normalization; power-electronics demand; buybacks/capital allocation. Risks: Commodity pricing; sluggish auto/industrial cycles; lower structural margins. | 4 | |
| 88 | LR.PA Euronext Paris | Legrand France / Non-US | 62.3 Medium | EUR 143.08 $42.5B +11.9% YTD | Power & Grid Discovered | Electrical infrastructure, racks and building systems | Data-center electrical and building systems are core to Legrand, but the market increasingly recognizes this exposure. | Catalysts: Data-center products; building electrification; energy efficiency. Risks: Large-cap discovery; valuation; European construction cycle. | 4 | |
| 89 | CLS.TO TSX/NYSE | Celestica Canada / Non-US | 61.9 Medium | CAD 510.02 $39.3B +23.0% YTD | Connectivity & Services Discovered | High-complexity electronics manufacturing and AI server supply chain | Celestica has strong AI server exposure, but that is precisely why it is now a discovered trade. | Catalysts: Hyperscaler programs; networking/server mix; margin expansion. Risks: Crowd discovery; customer concentration; inventory cycles. | 4 | |
| 90 | 2395.TW TWSE | Advantech Taiwan / Non-US | 61.2 Medium -0.9 rerate | TWD 540 $13.4B +88.5% YTD | Industrial Automation & Robotics Emerging | Industrial computers, edge devices and IoT platforms | Edge AI needs rugged industrial computers; Advantech is well positioned, but it is already a recognized edge-computing supplier. | Catalysts: Edge AI boxes; factory IoT; industrial PC cycle recovery. Risks: Valuation; China/industrial demand; competition. | 4 | |
| 91 | ENR.DE Xetra | Siemens Energy Germany / Non-US | 61.1 Medium | EUR 154.96 $147.8B +26.2% YTD | Power & Grid Discovered | Grid equipment, gas turbines and transmission systems | AI power demand helps grid/turbine suppliers, but Siemens Energy has already rerated around grid and power scarcity. | Catalysts: Grid backlog; turbine demand; power-system bottlenecks. Risks: Wind turnaround; valuation after rerating; project execution. | 4 | |
| 92 | 2308.TW TWSE | Delta Electronics Taiwan / Non-US | 59.4 Medium -0.9 rerate | TWD 1,880 $195.1B +88.9% YTD | Power & Components Discovered | Power supplies, thermal management and industrial automation | Delta is deeply relevant to data-center power and cooling, but it is no longer an undiscovered AI-infrastructure supplier. | Catalysts: AI server power; liquid cooling; industrial automation. Risks: Crowd discovery; high expectations; Taiwan/geopolitical risk. | 4 | |
| 93 | ABBN.SW SIX | ABB Switzerland / Non-US | 58.8 Low | CHF 84.68 $196.6B +38.3% YTD | Power & Grid Discovered | Electrification, drives, automation and robotics | ABB is strategically relevant to electrification and automation, but it is too large, too covered and too explicitly linked to automation for early alpha. | Catalysts: Electrification backlog; drives/robotics; energy efficiency. Risks: Mega-cap valuation; global cycle; crowd ownership. | 4 | |
| 94 | AIXA.DE Xetra | Aixtron Germany / Non-US | 57.9 Speculative -3.5 rerate | EUR 44.62 $7.80B +127.8% YTD | Semi/Advanced Materials Emerging | Deposition equipment for compound semiconductors | Compound semis can matter to efficient power/optics, but Aixtron remains tied to cyclical SiC/GaN expectations and investor swings. | Catalysts: SiC/GaN recovery; optoelectronics; data-center power devices. Risks: Order volatility; China/EV cycles; technology concentration. | 4 | |
| 95 | SIE.DE Xetra | Siemens Germany / Non-US | 56.8 Low | EUR 271.7 $238.3B +12.7% YTD | Industrial Automation & Robotics Discovered | Automation, digital industries and electrification software/hardware | Siemens owns many AI deployment layers but is already a core global industrial-automation compounder. | Catalysts: Digital Industries recovery; electrification; industrial software. Risks: Large-cap discovery; industrial cycle; conglomerate complexity. | 4 | |
| 96 | LITE NASDAQ | Lumentum United States / US | 56.8 Medium -0.5 rerate | $707.1 $55.0B +83.1% YTD | Connectivity & Photonics Discovered | Optical components, lasers and photonics | Lumentum has clear AI datacom optics optionality, but investors increasingly screen for optical AI suppliers. | Catalysts: Datacom recovery; coherent optics; cloud transceiver demand. Risks: Customer concentration; cyclicality; valuation if hype persists. | 4 | |
| 97 | WOLF NYSE | Wolfspeed United States / US | 56.5 Speculative -1.0 rerate | $35.86 $1.86B +89.4% YTD | Power & Components Special Situation | Silicon carbide power semiconductors and materials | SiC power devices could support high-efficiency power conversion, but financial distress overwhelms the strategic optionality. | Catalysts: Restructuring; SiC demand recovery; asset monetization. Risks: Balance sheet; dilution/bankruptcy risk; EV demand weakness. | 4 | |
| 98 | ASM.AS Euronext Amsterdam | ASM International Netherlands / Non-US | 56.1 Medium | EUR 923.6 $51.0B +66.8% YTD | Semi/Advanced Materials Discovered | Atomic layer deposition and epitaxy equipment | ASM is a crucial advanced-node tool supplier, but it is already viewed as an AI semicap beneficiary. | Catalysts: GAA/advanced nodes; ALD intensity; AI chip capex. Risks: Valuation; cyclical orders; export restrictions. | 4 | |
| 99 | AEHR NASDAQ | Aehr Test Systems United States / US | 55.3 Speculative -7.8 rerate | $67.89 $2.13B +206.4% YTD | Semi/Advanced Materials Emerging | Wafer-level burn-in and test systems | Burn-in/test could matter for high-reliability SiC and power devices around data-center power, but customer concentration is high. | Catalysts: SiC recovery; AI power devices; new customer wins. Risks: Customer concentration; sharp cyclicality; small-cap volatility. | 4 | |
| 100 | SU.PA Euronext Paris | Schneider Electric France / Non-US | 49.0 Low | EUR 268.25 $169.7B +13.2% YTD | Power & Grid Discovered | Energy management, data-center power and cooling infrastructure | Schneider is a direct AI infrastructure winner, but the crowd has clearly found it; included as a negative-control for the alpha screen. | Catalysts: Data-center power/cooling demand; Southeast Asia buildout; services. Risks: Crowded trade; premium valuation; no longer hidden. | 5 |
Theme diligence
Where the latent AI thesis clusters
Each cluster should be tested differently: power names need backlog and margin durability, connectivity names need speed-tier evidence, and automation names need proof that AI raises attach rates rather than only replacing labor.
Power & Grid
14 names73.6
Avg alpha
10.9
Discovery
11.1
Valuation
#2EnerSysENS
#5ItronITRI
#16Hammond Power SolutionsHPS.A.TO
#26AtkoreATKR
Sensors & Measurement
13 names77.1
Avg alpha
14.8
Discovery
12.1
Valuation
#10SensirionSENS.SW
#17RenishawRSW.L
#18ESCO TechnologiesESE
#34TrimbleTRMB
Connectivity & Photonics
13 names69.6
Avg alpha
10.2
Discovery
10.2
Valuation
#3VolexVLX.L
#8IPG PhotonicsIPGP
#11VIAVI SolutionsVIAV
#20MACOM Technology SolutionsMTSI
Thermal & Water
12 names76.2
Avg alpha
12.9
Discovery
11.4
Valuation
#7CAREL IndustriesCRL.MI
#22Watts Water TechnologiesWTS
#23AalbertsAALB.AS
#31Munters GroupMTRS.ST
Semi/Advanced Materials
11 names70.1
Avg alpha
12.8
Discovery
11.8
Valuation
#4RogersROG
#13Oxford InstrumentsOXIG.L
#28Morgan Advanced MaterialsMGAM.L
#38inTEST CorporationINTT
Industrial Automation & Robotics
10 names72.2
Avg alpha
11.6
Discovery
10.6
Valuation
#24ATS CorporationATS.TO
#35KardexKARN.SW
#39InterrollINRN.SW
#41AutoStore HoldingsAUTO.OL
Power & Components
9 names72.3
Avg alpha
15.2
Discovery
14.4
Valuation
#14discoverIE GroupDSCV.L
#21TT ElectronicsTTG.L
#30XP PowerXPP.L
#45LittelfuseLFUS
Distribution/Services
5 names74.2
Avg alpha
16.0
Discovery
13.4
Valuation
#15CCC Intelligent SolutionsCCC
#27John Wiley & SonsWLY
#64WESCO InternationalWCC
#75DiplomaDPLM.L
Data Center Services
5 names74.0
Avg alpha
13.2
Discovery
11.6
Valuation
#19APi GroupAPG
#40Kingspan GroupKRX.IR
#55AECOMACM
#68IES HoldingsIESC
Connectivity & Services
3 names68.3
Avg alpha
8.3
Discovery
9.7
Valuation
#52Dycom IndustriesDY
#72MasTecMTZ
#89CelesticaCLS.TO
Defense/Space/Edge
2 names81.5
Avg alpha
15.5
Discovery
14.0
Valuation
#12Mercury SystemsMRCY
#43MDA SpaceMDA.TO
Connectivity & IT/OT
1 names94.7
Avg alpha
17.0
Discovery
15.0
Valuation
#1BeldenBDC
Connectivity & Automation
1 names90.0
Avg alpha
17.0
Discovery
15.0
Valuation
#6TKH GroupTWEKA.AS
Sensors & Security
1 names88.3
Avg alpha
17.0
Discovery
14.0
Valuation
#9OSI SystemsOSIS
Connectivity & Components
1 names82.0
Avg alpha
15.0
Discovery
14.0
Valuation
#25SemtechSMTC
Sensors & Photonics
1 names80.2
Avg alpha
18.0
Discovery
17.0
Valuation
#32ams-OSRAMAMS.SW
Sources
Every score is linked back to macro, news, company, or exclusion evidence
The source map is carried over from the zip and exposed in the native page so the reader can audit both the demand thesis and the company-specific connection.
macro
4 sourcesCBRE North America Data Center Trends H1 2025
99Data center primary market supply and vacancy evidence.
IEA: data centre electricity use surged in 2025; AI-focused data centres climbed faster
99Macro evidence for power, cooling, and grid bottlenecks.
Morgan Stanley: Energy Markets Race to Solve the AI Power Bottleneck
99Forecasts U.S. data center demand could reach 74 GW by 2028 with a large power-access shortfall.
S&P Global: 2026 Trends in Data Center Services & Infrastructure
99Highlights AI training infrastructure needs for energy and efficient cooling.
news
4 sourcesReuters: Corning partners with Nvidia to expand U.S. fiber optic output for AI growth
1Shows the optical infrastructure theme moving from hidden to mainstream.
Reuters: Fujikura rides AI data centre boom
1Example of a formerly under-the-radar optical stock becoming fully discovered.
Reuters: Schneider Electric to launch Southeast Asia training hub in Malaysia
1Shows energy management/cooling suppliers increasingly linked to AI infrastructure.
Reuters: Johnson Controls raises annual profit forecast on data center cooling demand
0Shows the data-center cooling theme moving into earnings revisions.
company
40 sourcesAlfa Laval 2025 results and data-center order commentary
1Heat transfer, separation and fluid handling; data-center orders increasing in energy division transcript.
Atkore products and infrastructure overview
1Electrical conduit, cable management, safety and infrastructure products.
ATS Corporation investor overview
1Custom automation solutions for sophisticated manufacturing.
azbil report 2025
1Building automation, advanced automation and lifeline markets.
AZZ FY2025 results
1Metal coatings and precoat metals infrastructure exposure.
Belden investor overview and 2025 results
1Belden describes itself as a data networking infrastructure company at IT/OT convergence.
Belimo Annual Report 2025
1HVAC actuators, control valves, sensors and meters; strong 2025 growth.
CAREL Industries 2025 financial statements and FY2025 press release
1HVAC/refrigeration controls and FY2025 revenue growth.
CCC Intelligent Solutions agent discovery evidence (June 9, 2026)
1Added June 9, 2026 from the latent-data-software discovery sweep.
Diploma FY2025 results
1Controls division growth and specialist technical distribution.
discoverIE FY2025 preliminary results
1Niche customised electronics for industrial applications.
EnerSys FY2025 results
1Energy systems/batteries with record FY2025 adjusted EPS.
Furukawa Electric Integrated Report 2025
1Optical fiber/cable and data-center product exposure.
Hamamatsu investor relations library
1Photonics, sensors and measurement instruments.
Hammond Power Solutions Q4 2025 results
1Record annual sales, with growth driven partly by data centre expansion and electrification.
IPG Photonics investor overview
1Fiber laser technology for manufacturing and advanced applications.
Itron FY2025 financial results
1Utility energy/water management and grid data infrastructure.
John Wiley & Sons agent discovery evidence (June 9, 2026)
1Added June 9, 2026 from the latent-data-software discovery sweep.
Kardex 2025 financial results
1Warehouse automation; 2025 bookings up strongly.
Kingspan Group agent discovery evidence (June 9, 2026)
1Added June 9, 2026 from the datacenter-shell discovery sweep.
MDA Space FY2025 results
1Record revenue/EBITDA and $4B backlog; satellite, robotics and geointelligence.
Modine secures $180 million in AI infrastructure developer cooling orders
1Direct data center cooling orders for an AI infrastructure developer.
Morgan Advanced Materials 2025 financial results
1Thermal products, performance carbon and technical ceramics; semiconductor exposure.
Munters data-center cooling solutions
1Energy-efficient air and liquid cooling solutions for data centers.
OMRON integrated report 2025
1Factory automation and sensing/control.
Oxford Instruments 2025 annual report hub
1Semiconductor and imaging/analysis exposure.
Powell Industries investor relations and annual reports
1Electrical energy distribution and control equipment.
Renishaw FY2025 results
1Precision measurement and manufacturing technology.
Rogers Corporation investor relations
1Materials technology that helps power, protect and connect.
Sensirion investor relations 2025 results
1Sensor specialist with 2025 revenue growth in challenging markets.
SPX Technologies corporate overview
1Engineered products with HVAC, detection and measurement positions.
Sumitomo Electric IR library and multicore fiber announcement
1Optical fiber and electrification portfolio.
TKH Annual Report 2025 publication
1Automation and electrification separation plan and strategic sharpened profile.
TT Electronics corporate overview
1Sensors, power conversion and complex electronics assemblies.
Vecima FY2025 results
1Cable/fiber access and cloud-native network upgrade exposure.
VIAVI investor overview
1Test, monitoring and optical technology for data-center and communication networks.
Volex data centres page
1High-speed copper interconnects for 400G/800G/emerging 1.6T tiers.
Volex FY2025 record results
1FY2025 revenue above $1B and operating profit above $100M.
XP Power reports and presentations
1Power converter specialist with 2025 results and recovery commentary.
Yokogawa Report 2025
1Industrial automation, measurement, control and cybersecurity/DX.
Method and caveats
A research queue, not a price target
The screen intentionally looks for plausible AI-enabling assets that are not primarily valued as AI companies today. That is useful for idea generation, but it is not enough for a trade.
Score formula
Alpha score equals latent AI fit plus discovery gap, valuation gap, catalyst density, and execution quality, minus hype penalty. This makes already-obvious AI names lose ranking power even when strategic relevance is high.
Exclusion discipline
Obvious AI-core stocks such as GPU, cloud, model, and megacap platform leaders are excluded. Some discovered infrastructure names remain as controls so the page can compare relevance against residual alpha.
Required follow-up
Before using any row, re-check valuation, listing status, liquidity, estimate revisions, backlog, customer concentration, customer evidence, price rerating, and whether AI is already embedded in consensus.
Diligence questions that can break the thesis
1Is the company actually selling into the AI buildout, or is the linkage only adjacent and aspirational?
2Has the stock already rerated faster than the revenue opportunity, compressing the discovery gap?
3Does backlog convert at attractive margin, or does capacity expansion require working capital and capex that dilute returns?
4Is the AI customer base concentrated in one hyperscaler, one region, or one project cycle?
5Could power, permitting, water, grid interconnection, or export controls delay the end market the company depends on?
6Does the ordinary share, ADR, local listing, or liquidity profile make the idea impractical for the intended portfolio?
Market data was refreshed on July 9, 2026 from Yahoo Finance chart and quote endpoints. It does not update estimates, corporate actions, or thesis evidence in real time.