CarbonSiliconPublished April 20, 2026 · Updated July 9, 2026

June 8 Market Refresh

Vertiv reported Q1 net sales of $2.65B (+30%) and raised full-year guidance; GE Vernova reported $18.3B of Q1 orders, including $2.4B of data-center electrification orders, and also raised guidance.S14 S15

What humans spend on
versus what the AI stack
“spends” on.

This report rebuilds the uploaded tweet idea as a source-backed comparison between official 2025 U.S. human consumption and a modeled 2025 AI-cluster procurement basket. The metaphor is useful, but the accounting bases are different, so the page keeps the caveats explicit from the first screen.H0 H2 H3 S1 S3

Human side

Official BEA/FRED personal consumption expenditures

End-use household demand. Service-heavy. Broadly distributed across the population.H1 H3

Silicon side

Modeled 2025 AI-server-related procurement basket

Industrial bottleneck basket anchored to TrendForce and cross-checked with IDC.S1 S2 S3

Uploaded tweet screenshot that inspired the comparison.

Framing quote

Capital markets are reallocating toward the hardware stack that keeps models alive.

Human total

$20.95T

Silicon basket

$298.0B

Scale ratio

70.3×

Current Thesis Audit · Updated July 9, 2026

For carbon versus silicon, the current pass makes the stock proxy list rank by silicon-basket alpha rather than only theme membership, while keeping mature human-consumption anchors lower by design. 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.

AI 2027 compute AI 2027 security IEA energy and AI NVIDIA FY27 Q1 Microsoft FY26 Q3 Micron HBM4

Executive Summary

Shelter dominates carbon. Throughput dominates silicon.

The short version is simple: official human consumption is still dominated by shelter, health, food, finance, and services, while the modeled silicon basket is dominated by compute, HBM, networking, storage, and advanced packaging.

Human total PCE (2025)

$20.95T

+5.3% vs. 2024

Official U.S. personal consumption expenditures from BEA/FRED.

Human goods vs services

31.1% / 68.9%

$6.51T goods · $14.45T services

The human basket is service-heavy before any comparison to AI infrastructure begins.

Silicon modeled basket

$298.0B

2025 modeled AI-server-related basket

Allocated from TrendForce’s AI-server-related industry value anchor.

Human top bucket

Housing and utilities

$3.80T

Shelter dominates the current human basket.

Silicon top group

Accelerators & compute

$123.7B

Compute dominates the modeled silicon basket.

Scale ratio

70.3×

Human total PCE / silicon basket

Useful as a scale check, not as a literal apples-to-apples accounting ratio.

Five takeaways

Official U.S. human consumption is overwhelmingly about shelter, health care, everyday goods, finance, and services.H3
The clean human partition is led by Housing and utilities and Health care, not by flashy discretionary gadgets.H3
The silicon proxy is much smaller in total dollars but far more concentrated, with Accelerators & compute alone taking 41.5% of the basket.S1 S2
The fastest-moving silicon layer is memory attached to compute: HBM is the second-largest modeled group because AI-chip shipments are pulling HBM demand sharply higher.S2
The tweet’s intuition works as a capital-allocation metaphor, but the comparison is between household end-use demand and an industrial procurement basket.H2 H3 S1 S3

What the tweet gets right

Capital markets really have redirected a large amount of spending toward the hardware stack that keeps models training and serving: accelerators, HBM, networking, and packaging.S1 S2 S3 S5

The metaphor breaks if you read it literally. Human consumption is larger by orders of magnitude, far more service-heavy, and much less concentrated.H3 S1 S3

Put differently: humans mostly buy shelter, health, calories, mobility, finance, and social functioning. Silicon mostly “buys” throughput, bandwidth, memory, and power density.H3 S2 S3

Methodology

The page only works if the boundaries are explicit.

The useful comparison here is not “humans and AI stacks keep books the same way.” It is “what does each system spend on when it is trying to stay alive and scale.”

Human side: what is official, and what is not

The official human side comes from BEA/FRED Table 2.4.5 for calendar year 2025. BEA’s own FAQ notes that Table 2.4.5U is the most detailed current time-series PCE table, while the benchmark-year PCE Bridge is where deeper commodity composition lives.H1 H2 H3

Clean official partition: 16 non-overlapping top-level branches that do sum to total PCE.
Full 100-series published view: exactly 100 current published rows after excluding 13 structural totals and subtraction lines.

That 100-row published view is useful for ranking current official lines by size, but it mixes leaves and roll-ups, so it should not be summed.H2 H3

Silicon side: why it is modeled

There is no official statistical agency publishing a “silicon lifeform consumption basket.” The page therefore builds a proxy from the strongest observable 2025 bottleneck basket: AI-server-related industry value.S1 S3

TrendForce put that value at US$298B for 2025; IDC separately reported the worldwide 2025 server market at US$444.1B, up 80.4% year over year.S1 S3

The silicon 100-row table is therefore a modeled allocation, not a published revenue ranking. Amounts sum exactly to US$298B by construction; trends are directional, source-led estimates.S1 S2 S3 S5 S6 S7

Assumptions used in the build

Human side uses the current official 2025 BEA/FRED annual table for all published values and 2024 comparisons.

The human page includes both a clean official partition and a 100-series published view because BEA does not publish 100 separate current goods-only leaf lines.

The full 100 human series mix leaf lines and roll-ups, so they are useful for ranking but not for summation.

Silicon side allocates the 2025 TrendForce AI-server-related anchor of US$298B across 100 procurement categories.

IDC server taxonomy defines the component universe, then TrendForce, IDC networking, SIA, and SEMI signals bias the weights.

Confidence declines in the long tail: the largest silicon buckets are much easier to anchor than the smallest ones.

Human / Carbon-Based Consumption

The official human basket is mostly shelter, care, food, and services.

The high-dollar lines in human consumption are recurring and necessity-loaded. Even the biggest goods lines mostly support life maintenance and mobility rather than pure discretionary novelty.H3

Top official human buckets

The clean 16-bucket partition is the best official non-overlapping view. Housing and utilities and Health care sit clearly above the rest.H3

Goods versus services

Human consumption is mostly services before any carbon-versus-silicon framing begins.H3

How to read the human side

The human basket is not mostly gadgets or even goods. It is mostly shelter, medical care, food, financial intermediation, and broad services.H3

Even the biggest goods lines are really maintenance-of-life categories: groceries, pharmaceuticals, vehicles, fuels, household supplies, and basic apparel.H3

In 2025 the human top-level buckets mostly moved in the mid-single digits, with the main outliers driven by commodity prices or medical and insurance intensity.H3

Largest current goods-only leaf lines

This is the goods-only view that most closely matches the original tweet wording. It is still much smaller and narrower than the full human consumption picture.H3

Open the clean 16-bucket human partition table

Human consumption: clean 16-bucket partition

This is the cleanest current official partition available in Table 2.4.5. These 16 first-level branches do not overlap and do sum to total PCE.

Showing 16 of 16


1	BEA line 49	Housing and utilities	$3,801.2B	$3,603.6B	+5.5%	18.14%	Shelter is the core human consumption function, and it absorbs the largest recurring share of household budgets.	H3
2	BEA line 60	Health care	$3,551.6B	$3,315.0B	+7.1%	16.95%	Medical spending is supported by demographics, chronic care demand, and high labor and facility intensity.	H3
3	BEA line 95	Other services	$1,777.9B	$1,675.8B	+6.1%	8.48%	Communications, education, professional help, and social services are diffuse but collectively very large.	H3
4	BEA line 39	Other nondurable goods	$1,728.6B	$1,633.1B	+5.8%	8.25%	Fast-turn, everyday-use items create large aggregate spend despite modest ticket sizes.	H3
5	BEA line 86	Financial services and insurance	$1,689.8B	$1,560.4B	+8.3%	8.06%	Insurance spending rises with underlying asset values, claims costs, and medical utilization.	H3
6	BEA line 26	Food and beverages purchased for off-premises consumption	$1,529.9B	$1,479.6B	+3.4%	7.30%	Groceries are universal, repetitive spending, so even low single-digit growth compounds into very large dollar totals.	H3
7	BEA line 81	Food services and accommodations	$1,495.2B	$1,429.0B	+4.6%	7.14%	Eating away from home layers wages, rent, and service margins onto basic calorie demand.	H3
8	BEA line 76	Recreation services	$819.2B	$777.0B	+5.4%	3.91%	Households continue to spend on leisure, media, and entertainment when income and confidence hold up.	H3
9	BEA line 4	Motor vehicles and parts	$758.8B	$732.8B	+3.6%	3.62%	Transportation needs keep autos and parts near the top of the durable-goods stack.	H3
10	BEA line 68	Transportation services	$703.7B	$660.5B	+6.5%	3.36%	Transport demand follows commuting, travel, freight-linked ticketing, and maintenance of personal mobility.	H3
11	BEA line 13	Recreational goods and vehicles	$697.6B	$663.7B	+5.1%	3.33%	Entertainment hardware and sports gear remain meaningful discretionary goods categories.	H3
12	BEA line 111	Final consumption expenditures of nonprofit institutions serving households (NPISHs)	$608.2B	$613.1B	-0.8%	2.90%	Nonprofit-provided household services are economically real consumption even when paid indirectly.	H3
13	BEA line 30	Clothing and footwear	$561.8B	$530.2B	+6.0%	2.68%	Apparel is a steady refresh category shaped by seasons, fashion cycles, and value-channel pricing.	H3
14	BEA line 8	Furnishings and durable household equipment	$507.3B	$490.0B	+3.5%	2.42%	Apparel is a steady refresh category shaped by seasons, fashion cycles, and value-channel pricing.	H3
15	BEA line 36	Gasoline and other energy goods	$422.4B	$440.5B	-4.1%	2.02%	Fuel spending moves with miles driven and commodity prices, making it one of the more volatile household goods lines.	H3
16	BEA line 19	Other durable goods	$301.6B	$291.6B	+3.5%	1.44%	Small but durable household and personal items add up because of broad usage.	H3

Open the official goods-only highlight table

Human goods-only highlights: top 20 current leaf categories

Because the current BEA time-series table does not publish 100 separate goods-only leaves, this table shows the largest current official goods-only leaf categories.

Showing 20 of 20


BEA line 27	Food and nonalcoholic beverages purchased for off-premises consumption	Food at home	$1,295.1B	$1,250.1B	+3.6%	19.90%	Groceries are universal, repetitive spending, so even low single-digit growth compounds into very large dollar totals.
BEA line 40	Pharmaceutical and other medical products	Other nondurables	$729.4B	$677.7B	+7.6%	11.21%	Prescriptions and medical products combine steady utilization with high branded-product mix.
BEA line 14	Video, audio, photographic, and information processing equipment and media	Recreation durables	$427.6B	$402.7B	+6.2%	6.57%	Electronics stay large because computing, media, and device-refresh spending are now everyday household behaviors.
BEA line 5	New motor vehicles	Vehicles & parts	$408.5B	$394.9B	+3.5%	6.28%	Vehicles are large-ticket replacement purchases, so price and financing conditions matter as much as unit demand.
BEA line 37	Motor vehicle fuels, lubricants, and fluids	Energy goods	$393.1B	$414.3B	-5.1%	6.04%	Fuel spending moves with miles driven and commodity prices, making it one of the more volatile household goods lines.
BEA line 41	Recreational items	Other nondurables	$334.7B	$313.7B	+6.7%	5.14%	Experience and hobby spending remains durable when consumers feel confident and keep discretionary budgets open.
BEA line 9	Furniture and furnishings	Home durables	$293.9B	$281.9B	+4.3%	4.52%	Home setup and replacement cycles keep this tied to household formation and renovation activity.
BEA line 32	Women's and girls' clothing	Apparel & footwear	$255.9B	$240.7B	+6.3%	3.93%	Apparel is a steady refresh category shaped by seasons, fashion cycles, and value-channel pricing.
BEA line 28	Alcoholic beverages purchased for off-premises consumption	Food at home	$233.9B	$228.7B	+2.3%	3.59%	Staple consumption happens every week, making grocery categories some of the most dependable spending lines.
BEA line 6	Net purchases of used motor vehicles	Vehicles & parts	$219.1B	$211.5B	+3.6%	3.37%	Vehicles are large-ticket replacement purchases, so price and financing conditions matter as much as unit demand.
BEA line 43	Personal care products	Other nondurables	$213.6B	$203.4B	+5.0%	3.28%	Personal care is frequent, habitual spending with broad category penetration.
BEA line 42	Household supplies	Other nondurables	$198.9B	$191.1B	+4.1%	3.06%	Fast-turn, everyday-use items create large aggregate spend despite modest ticket sizes.
BEA line 33	Men's and boys' clothing	Apparel & footwear	$153.7B	$144.1B	+6.6%	2.36%	Apparel is a steady refresh category shaped by seasons, fashion cycles, and value-channel pricing.
BEA line 7	Motor vehicle parts and accessories	Vehicles & parts	$131.2B	$126.4B	+3.8%	2.02%	Vehicles are large-ticket replacement purchases, so price and financing conditions matter as much as unit demand.
BEA line 45	Magazines, newspapers, and stationery	Other nondurables	$127.0B	$119.0B	+6.8%	1.95%	Fast-turn, everyday-use items create large aggregate spend despite modest ticket sizes.
BEA line 15	Sporting equipment, supplies, guns, and ammunition	Recreation durables	$126.9B	$121.8B	+4.2%	1.95%	Experience and hobby spending remains durable when consumers feel confident and keep discretionary budgets open.
BEA line 35	Other clothing materials and footwear	Apparel & footwear	$124.6B	$119.3B	+4.4%	1.91%	Apparel is a steady refresh category shaped by seasons, fashion cycles, and value-channel pricing.
BEA line 44	Tobacco	Other nondurables	$111.6B	$115.2B	-3.2%	1.71%	Fast-turn, everyday-use items create large aggregate spend despite modest ticket sizes.
BEA line 20	Jewelry and watches	Other durables	$106.0B	$104.6B	+1.4%	1.63%	Small but durable household and personal items add up because of broad usage.
BEA line 16	Sports and recreational vehicles	Recreation durables	$100.9B	$99.4B	+1.5%	1.55%	Experience and hobby spending remains durable when consumers feel confident and keep discretionary budgets open.

Open the full 100 current published human series table

Human consumption: full top-100 current published series

This 100-series view is excellent for ranking current published lines by size, but it mixes leaf lines and roll-ups, so it should not be summed.

Showing 100 of 100


1	BEA line 49	Housing and utilities	Roll-up	Housing & utilities	$3,801.2B	$3,603.6B	+5.5%	18.14%	Shelter is the core human consumption function, and it absorbs the largest recurring share of household budgets.	H3
2	BEA line 60	Health care	Roll-up	Health care services	$3,551.6B	$3,315.0B	+7.1%	16.95%	Medical spending is supported by demographics, chronic care demand, and high labor and facility intensity.	H3
3	BEA line 50	Housing	Roll-up	Housing & utilities	$3,311.0B	$3,147.0B	+5.2%	15.80%	Shelter is the core human consumption function, and it absorbs the largest recurring share of household budgets.	H3
4	BEA line 52	Imputed rental of owner-occupied nonfarm housing	Leaf	Housing & utilities	$2,500.3B	$2,374.2B	+5.3%	11.93%	Owner-occupied housing is counted as a service households consume, so shelter dominates even without a cash rent check.	H3
5	BEA line 65	Hospital and nursing home services	Roll-up	Health care services	$1,869.2B	$1,742.3B	+7.3%	8.92%	High-acuity care is expensive, labor-intensive, and used steadily across an aging population.	H3
6	BEA line 95	Other services	Roll-up	Other services	$1,777.9B	$1,675.8B	+6.1%	8.48%	Communications, education, professional help, and social services are diffuse but collectively very large.	H3
7	BEA line 39	Other nondurable goods	Roll-up	Other nondurables	$1,728.6B	$1,633.1B	+5.8%	8.25%	Fast-turn, everyday-use items create large aggregate spend despite modest ticket sizes.	H3
8	BEA line 86	Financial services and insurance	Roll-up	Financial services & insurance	$1,689.8B	$1,560.4B	+8.3%	8.06%	Insurance spending rises with underlying asset values, claims costs, and medical utilization.	H3
9	BEA line 61	Outpatient services	Roll-up	Health care services	$1,682.4B	$1,572.7B	+7.0%	8.03%	Routine care, specialty visits, diagnostics, and therapy make this a high-frequency medical spend.	H3
10	BEA line 66	Hospitals	Leaf	Health care services	$1,600.2B	$1,493.6B	+7.1%	7.64%	High-acuity care is expensive, labor-intensive, and used steadily across an aging population.	H3
11	BEA line 26	Food and beverages purchased for off-premises consumption	Roll-up	Food at home	$1,529.9B	$1,479.6B	+3.4%	7.30%	Groceries are universal, repetitive spending, so even low single-digit growth compounds into very large dollar totals.	H3
12	BEA line 81	Food services and accommodations	Roll-up	Food away from home	$1,495.2B	$1,429.0B	+4.6%	7.14%	Eating away from home layers wages, rent, and service margins onto basic calorie demand.	H3
13	BEA line 82	Food services	Roll-up	Food away from home	$1,297.3B	$1,230.8B	+5.4%	6.19%	Eating away from home layers wages, rent, and service margins onto basic calorie demand.	H3
14	BEA line 27	Food and nonalcoholic beverages purchased for off-premises consumption	Leaf	Food at home	$1,295.1B	$1,250.1B	+3.6%	6.18%	Groceries are universal, repetitive spending, so even low single-digit growth compounds into very large dollar totals.	H3
15	BEA line 83	Purchased meals and beverages	Leaf	Food away from home	$1,260.0B	$1,195.9B	+5.4%	6.01%	Eating away from home layers wages, rent, and service margins onto basic calorie demand.	H3
16	BEA line 87	Financial services	Roll-up	Financial services & insurance	$1,147.5B	$1,041.5B	+10.2%	5.48%	Payments, lending, asset management, and deposit intermediation scale with balances and transaction volumes.	H3
17	BEA line 62	Physician services	Leaf	Health care services	$836.7B	$793.3B	+5.5%	3.99%	Routine care, specialty visits, diagnostics, and therapy make this a high-frequency medical spend.	H3
18	BEA line 76	Recreation services	Roll-up	Recreation services	$819.2B	$777.0B	+5.4%	3.91%	Households continue to spend on leisure, media, and entertainment when income and confidence hold up.	H3
19	BEA line 51	Rental of tenant-occupied nonfarm housing	Leaf	Housing & utilities	$776.8B	$740.3B	+4.9%	3.71%	Shelter is the most persistent household bill; rents reset slowly but on a very large base.	H3
20	BEA line 40	Pharmaceutical and other medical products	Leaf	Other nondurables	$729.4B	$677.7B	+7.6%	3.48%	Prescriptions and medical products combine steady utilization with high branded-product mix.	H3
21	BEA line 68	Transportation services	Roll-up	Transportation services	$703.7B	$660.5B	+6.5%	3.36%	Transport demand follows commuting, travel, freight-linked ticketing, and maintenance of personal mobility.	H3
22	BEA line 64	Paramedical services	Leaf	Health care services	$647.4B	$593.7B	+9.1%	3.09%	Routine care, specialty visits, diagnostics, and therapy make this a high-frequency medical spend.	H3
23	BEA line 88	Financial services furnished without payment	Leaf	Financial services & insurance	$614.5B	$565.5B	+8.7%	2.93%	Payments, lending, asset management, and deposit intermediation scale with balances and transaction volumes.	H3
24	BEA line 30	Clothing and footwear	Roll-up	Apparel & footwear	$561.8B	$530.2B	+6.0%	2.68%	Apparel is a steady refresh category shaped by seasons, fashion cycles, and value-channel pricing.	H3
25	BEA line 90	Insurance	Roll-up	Financial services & insurance	$542.4B	$518.9B	+4.5%	2.59%	Insurance spending rises with underlying asset values, claims costs, and medical utilization.	H3
26	BEA line 89	Financial service charges, fees, and commissions	Leaf	Financial services & insurance	$533.0B	$476.0B	+12.0%	2.54%	Payments, lending, asset management, and deposit intermediation scale with balances and transaction volumes.	H3
27	BEA line 55	Household utilities	Roll-up	Housing & utilities	$490.3B	$456.7B	+7.4%	2.34%	Shelter and utility services are unavoidable household expenses, so they stay large even when growth is modest.	H3
28	BEA line 31	Garments	Roll-up	Apparel & footwear	$437.2B	$410.9B	+6.4%	2.09%	Apparel is a steady refresh category shaped by seasons, fashion cycles, and value-channel pricing.	H3
29	BEA line 14	Video, audio, photographic, and information processing equipment and media	Leaf	Recreation durables	$427.6B	$402.7B	+6.2%	2.04%	Electronics stay large because computing, media, and device-refresh spending are now everyday household behaviors.	H3
30	BEA line 36	Gasoline and other energy goods	Roll-up	Energy goods	$422.4B	$440.5B	-4.1%	2.02%	Fuel spending moves with miles driven and commodity prices, making it one of the more volatile household goods lines.	H3
31	BEA line 5	New motor vehicles	Leaf	Vehicles & parts	$408.5B	$394.9B	+3.5%	1.95%	Vehicles are large-ticket replacement purchases, so price and financing conditions matter as much as unit demand.	H3
32	BEA line 69	Motor vehicle services	Roll-up	Transportation services	$395.2B	$368.6B	+7.2%	1.89%	Transport demand follows commuting, travel, freight-linked ticketing, and maintenance of personal mobility.	H3
33	BEA line 37	Motor vehicle fuels, lubricants, and fluids	Leaf	Energy goods	$393.1B	$414.3B	-5.1%	1.88%	Fuel spending moves with miles driven and commodity prices, making it one of the more volatile household goods lines.	H3
34	BEA line 100	Education services	Roll-up	Other services	$363.1B	$352.2B	+3.1%	1.73%	Communications, education, professional help, and social services are diffuse but collectively very large.	H3
35	BEA line 106	Social services and religious activities	Leaf	Other services	$355.4B	$334.7B	+6.2%	1.70%	Communications, education, professional help, and social services are diffuse but collectively very large.	H3
36	BEA line 57	Electricity and gas	Roll-up	Housing & utilities	$343.4B	$317.0B	+8.3%	1.64%	Utilities are recurring necessities, with weather and regulated pricing driving year-to-year movement.	H3
37	BEA line 41	Recreational items	Leaf	Other nondurables	$334.7B	$313.7B	+6.7%	1.60%	Experience and hobby spending remains durable when consumers feel confident and keep discretionary budgets open.	H3
38	BEA line 96	Communication	Roll-up	Other services	$319.3B	$309.1B	+3.3%	1.52%	Communications, education, professional help, and social services are diffuse but collectively very large.	H3
39	BEA line 72	Public transportation	Roll-up	Transportation services	$308.5B	$291.9B	+5.7%	1.47%	Transport demand follows commuting, travel, freight-linked ticketing, and maintenance of personal mobility.	H3
40	BEA line 77	Membership clubs, sports centers, parks, theaters, and museums	Leaf	Recreation services	$306.0B	$291.2B	+5.1%	1.46%	Experience and hobby spending remains durable when consumers feel confident and keep discretionary budgets open.	H3
41	BEA line 104	Professional and other services	Leaf	Other services	$297.7B	$277.9B	+7.1%	1.42%	Communications, education, professional help, and social services are diffuse but collectively very large.	H3
42	BEA line 9	Furniture and furnishings	Leaf	Home durables	$293.9B	$281.9B	+4.3%	1.40%	Home setup and replacement cycles keep this tied to household formation and renovation activity.	H3
43	BEA line 109	Foreign travel by U.S. residents	Leaf	Other services	$287.3B	$269.2B	+6.7%	1.37%	Communications, education, professional help, and social services are diffuse but collectively very large.	H3
44	BEA line 93	Net health insurance	Leaf	Financial services & insurance	$283.5B	$270.1B	+4.9%	1.35%	Insurance spending rises with underlying asset values, claims costs, and medical utilization.	H3
45	BEA line 70	Motor vehicle maintenance and repair	Leaf	Transportation services	$276.7B	$257.5B	+7.5%	1.32%	Transport demand follows commuting, travel, freight-linked ticketing, and maintenance of personal mobility.	H3
46	BEA line 67	Nursing homes	Leaf	Health care services	$269.0B	$248.7B	+8.2%	1.28%	High-acuity care is expensive, labor-intensive, and used steadily across an aging population.	H3
47	BEA line 58	Electricity	Leaf	Housing & utilities	$267.5B	$253.4B	+5.6%	1.28%	Utilities are recurring necessities, with weather and regulated pricing driving year-to-year movement.	H3
48	BEA line 32	Women's and girls' clothing	Leaf	Apparel & footwear	$255.9B	$240.7B	+6.3%	1.22%	Apparel is a steady refresh category shaped by seasons, fashion cycles, and value-channel pricing.	H3
49	BEA line 105	Personal care and clothing services	Leaf	Other services	$241.7B	$233.1B	+3.7%	1.15%	Apparel is a steady refresh category shaped by seasons, fashion cycles, and value-channel pricing.	H3
50	BEA line 28	Alcoholic beverages purchased for off-premises consumption	Leaf	Food at home	$233.9B	$228.7B	+2.3%	1.12%	Staple consumption happens every week, making grocery categories some of the most dependable spending lines.	H3
51	BEA line 79	Gambling	Leaf	Recreation services	$229.3B	$206.9B	+10.8%	1.09%	Experience and hobby spending remains durable when consumers feel confident and keep discretionary budgets open.	H3
52	BEA line 6	Net purchases of used motor vehicles	Leaf	Vehicles & parts	$219.1B	$211.5B	+3.6%	1.05%	Vehicles are large-ticket replacement purchases, so price and financing conditions matter as much as unit demand.	H3
53	BEA line 43	Personal care products	Leaf	Other nondurables	$213.6B	$203.4B	+5.0%	1.02%	Personal care is frequent, habitual spending with broad category penetration.	H3
54	BEA line 110	Less: Expenditures in the United States by nonresidents	Leaf	Other services	$208.9B	$216.6B	-3.5%	1.00%	Communications, education, professional help, and social services are diffuse but collectively very large.	H3
55	BEA line 101	Higher education	Leaf	Other services	$208.2B	$206.3B	+0.9%	0.99%	Communications, education, professional help, and social services are diffuse but collectively very large.	H3
56	BEA line 42	Household supplies	Leaf	Other nondurables	$198.9B	$191.1B	+4.1%	0.95%	Fast-turn, everyday-use items create large aggregate spend despite modest ticket sizes.	H3
57	BEA line 63	Dental services	Leaf	Health care services	$198.2B	$185.7B	+6.7%	0.95%	Routine care, specialty visits, diagnostics, and therapy make this a high-frequency medical spend.	H3
58	BEA line 85	Accommodations	Leaf	Food away from home	$197.9B	$198.2B	-0.2%	0.94%	Eating away from home layers wages, rent, and service margins onto basic calorie demand.	H3
59	BEA line 74	Air transportation	Leaf	Transportation services	$195.5B	$189.1B	+3.4%	0.93%	Transport demand follows commuting, travel, freight-linked ticketing, and maintenance of personal mobility.	H3
60	BEA line 97	Telecommunication services	Leaf	Other services	$185.4B	$181.4B	+2.2%	0.88%	Communications, education, professional help, and social services are diffuse but collectively very large.	H3
61	BEA line 78	Audio-video, photographic, and information processing equipment services	Leaf	Recreation services	$172.4B	$171.7B	+0.4%	0.82%	Apparel is a steady refresh category shaped by seasons, fashion cycles, and value-channel pricing.	H3
62	BEA line 33	Men's and boys' clothing	Leaf	Apparel & footwear	$153.7B	$144.1B	+6.6%	0.73%	Apparel is a steady refresh category shaped by seasons, fashion cycles, and value-channel pricing.	H3
63	BEA line 56	Water supply and sanitation	Leaf	Housing & utilities	$146.8B	$139.6B	+5.2%	0.70%	Utilities are recurring necessities, with weather and regulated pricing driving year-to-year movement.	H3
64	BEA line 7	Motor vehicle parts and accessories	Leaf	Vehicles & parts	$131.2B	$126.4B	+3.8%	0.63%	Vehicles are large-ticket replacement purchases, so price and financing conditions matter as much as unit demand.	H3
65	BEA line 91	Life insurance	Leaf	Financial services & insurance	$130.3B	$127.6B	+2.2%	0.62%	Insurance spending rises with underlying asset values, claims costs, and medical utilization.	H3
66	BEA line 45	Magazines, newspapers, and stationery	Leaf	Other nondurables	$127.0B	$119.0B	+6.8%	0.61%	Fast-turn, everyday-use items create large aggregate spend despite modest ticket sizes.	H3
67	BEA line 15	Sporting equipment, supplies, guns, and ammunition	Leaf	Recreation durables	$126.9B	$121.8B	+4.2%	0.61%	Experience and hobby spending remains durable when consumers feel confident and keep discretionary budgets open.	H3
68	BEA line 35	Other clothing materials and footwear	Leaf	Apparel & footwear	$124.6B	$119.3B	+4.4%	0.59%	Apparel is a steady refresh category shaped by seasons, fashion cycles, and value-channel pricing.	H3
69	BEA line 107	Household maintenance	Leaf	Other services	$122.3B	$116.1B	+5.3%	0.58%	Communications, education, professional help, and social services are diffuse but collectively very large.	H3
70	BEA line 71	Other motor vehicle services	Leaf	Transportation services	$118.5B	$111.1B	+6.6%	0.57%	Transport demand follows commuting, travel, freight-linked ticketing, and maintenance of personal mobility.	H3
71	BEA line 99	Internet access	Leaf	Other services	$116.9B	$110.6B	+5.7%	0.56%	Communications, education, professional help, and social services are diffuse but collectively very large.	H3
72	BEA line 44	Tobacco	Leaf	Other nondurables	$111.6B	$115.2B	-3.2%	0.53%	Fast-turn, everyday-use items create large aggregate spend despite modest ticket sizes.	H3
73	BEA line 80	Other recreational services	Leaf	Recreation services	$111.5B	$107.2B	+4.0%	0.53%	Experience and hobby spending remains durable when consumers feel confident and keep discretionary budgets open.	H3
74	BEA line 94	Net motor vehicle and other transportation insurance	Leaf	Financial services & insurance	$108.8B	$102.9B	+5.7%	0.52%	Insurance spending rises with underlying asset values, claims costs, and medical utilization.	H3
75	BEA line 20	Jewelry and watches	Leaf	Other durables	$106.0B	$104.6B	+1.4%	0.51%	Small but durable household and personal items add up because of broad usage.	H3
76	BEA line 73	Ground transportation	Leaf	Transportation services	$105.6B	$96.0B	+10.1%	0.50%	Transport demand follows commuting, travel, freight-linked ticketing, and maintenance of personal mobility.	H3
77	BEA line 16	Sports and recreational vehicles	Leaf	Recreation durables	$100.9B	$99.4B	+1.5%	0.48%	Experience and hobby spending remains durable when consumers feel confident and keep discretionary budgets open.	H3
78	BEA line 21	Therapeutic appliances and equipment	Leaf	Other durables	$99.4B	$95.6B	+4.0%	0.47%	Prescriptions and medical products combine steady utilization with high branded-product mix.	H3
79	BEA line 10	Household appliances	Leaf	Home durables	$89.7B	$88.1B	+1.8%	0.43%	Home setup and replacement cycles keep this tied to household formation and renovation activity.	H3
80	BEA line 103	Commercial and vocational schools	Leaf	Other services	$88.1B	$82.8B	+6.3%	0.42%	Communications, education, professional help, and social services are diffuse but collectively very large.	H3
81	BEA line 108	Net foreign travel	Roll-up	Other services	$78.4B	$52.6B	+48.9%	0.37%	Communications, education, professional help, and social services are diffuse but collectively very large.	H3
82	BEA line 59	Natural gas	Leaf	Housing & utilities	$75.9B	$63.6B	+19.4%	0.36%	Utilities are recurring necessities, with weather and regulated pricing driving year-to-year movement.	H3
83	BEA line 102	Nursery, elementary, and secondary schools	Leaf	Other services	$66.8B	$63.0B	+6.0%	0.32%	Apparel is a steady refresh category shaped by seasons, fashion cycles, and value-channel pricing.	H3
84	BEA line 11	Glassware, tableware, and household utensils	Leaf	Home durables	$62.0B	$59.1B	+4.9%	0.30%	Home setup and replacement cycles keep this tied to household formation and renovation activity.	H3
85	BEA line 12	Tools and equipment for house and garden	Leaf	Home durables	$61.8B	$61.0B	+1.4%	0.30%	Home setup and replacement cycles keep this tied to household formation and renovation activity.	H3
86	BEA line 23	Luggage and similar personal items	Leaf	Other durables	$51.1B	$48.0B	+6.5%	0.24%	Small but durable household and personal items add up because of broad usage.	H3
87	BEA line 84	Food furnished to employees (including military)	Leaf	Food away from home	$37.3B	$34.9B	+6.9%	0.18%	Restaurant and lodging spend is recurring and labor-heavy, so dollar totals stay high.	H3
88	BEA line 24	Telephone and facsimile equipment	Leaf	Other durables	$36.1B	$34.8B	+3.7%	0.17%	Apparel is a steady refresh category shaped by seasons, fashion cycles, and value-channel pricing.	H3
89	BEA line 17	Recreational books	Leaf	Recreation durables	$33.1B	$31.1B	+6.5%	0.16%	Experience and hobby spending remains durable when consumers feel confident and keep discretionary budgets open.	H3
90	BEA line 53	Rental value of farm dwellings	Leaf	Housing & utilities	$30.5B	$29.2B	+4.7%	0.15%	Shelter and utility services are unavoidable household expenses, so they stay large even when growth is modest.	H3
91	BEA line 38	Fuel oil and other fuels	Leaf	Energy goods	$29.3B	$26.3B	+11.4%	0.14%	Fuel spending moves with miles driven and commodity prices, making it one of the more volatile household goods lines.	H3
92	BEA line 34	Children's and infants' clothing	Leaf	Apparel & footwear	$27.6B	$26.1B	+5.9%	0.13%	Apparel is a steady refresh category shaped by seasons, fashion cycles, and value-channel pricing.	H3
93	BEA line 92	Net household insurance	Leaf	Financial services & insurance	$19.8B	$18.3B	+8.1%	0.09%	Insurance spending rises with underlying asset values, claims costs, and medical utilization.	H3
94	BEA line 98	Postal and delivery services	Leaf	Other services	$17.1B	$17.1B	-0.2%	0.08%	Communications, education, professional help, and social services are diffuse but collectively very large.	H3
95	BEA line 46	Net expenditures abroad by U.S. residents	Leaf	Other nondurables	$13.4B	$13.1B	+2.8%	0.06%	Fast-turn, everyday-use items create large aggregate spend despite modest ticket sizes.	H3
96	BEA line 18	Musical instruments	Leaf	Recreation durables	$9.1B	$8.7B	+4.0%	0.04%	Experience and hobby spending remains durable when consumers feel confident and keep discretionary budgets open.	H3
97	BEA line 22	Educational books	Leaf	Other durables	$8.9B	$8.5B	+5.0%	0.04%	Small but durable household and personal items add up because of broad usage.	H3
98	BEA line 75	Water transportation	Leaf	Transportation services	$7.4B	$6.8B	+8.1%	0.04%	Utilities are recurring necessities, with weather and regulated pricing driving year-to-year movement.	H3
99	BEA line 54	Group housing	Leaf	Housing & utilities	$3.4B	$3.3B	+3.3%	0.02%	Shelter and utility services are unavoidable household expenses, so they stay large even when growth is modest.	H3
100	BEA line 29	Food produced and consumed on farms	Leaf	Food at home	$0.9B	$0.8B	+10.6%	0.00%	Staple consumption happens every week, making grocery categories some of the most dependable spending lines.	H3

Silicon / AI-Cluster Consumption

The modeled silicon basket is concentrated, capex-led, and bottleneck-driven.

The largest modeled line items are not generic chips in the abstract. They are specific spend buckets around hyperscaler accelerators, HBM attach, high-speed interconnect, and the packaging stack needed to make those systems ship.S1 S2 S5 S7 S13

Nine modeled non-overlapping silicon groups

These groups sum exactly to the US$298B basket anchor. Compute dominates, but HBM is the second major layer because AI accelerators are now memory-bandwidth hungry systems.S1 S2 S6 S7

Group size versus growth

Human categories mostly cluster in the mid-single digits. Silicon groups spread across much wider growth regimes, especially where compute, memory, and optical bottlenecks meet.

Reasoning behind the basket

Compute dominates because the highest-value AI systems still clear around the most powerful accelerator modules. TrendForce’s 2025 and 2026 work also points to a step-up in full-rack systems and a continued surge in custom ASIC investment.S1 S2

HBM is second because advanced AI chips are memory-bandwidth hungry, and packaging and test matter because those memory-attached multi-die packages are hard to build and qualify.S2 S7

Networking and optics matter because larger model graphs imply larger clusters, which imply more pressure on bandwidth, losslessness, latency, and optical reach.S5 S13

Top modeled silicon categories

The top line items are concentrated around hyperscaler training and inference accelerators, HBM3e, sovereign deployments, and high-speed interconnect.S2 S5 S13

Open the silicon 9-group summary table

Silicon basket: 9 modeled non-overlapping groups

These groups are designed to be non-overlapping and sum exactly to the US$298B AI-server-related basket anchor.

Showing 9 of 9


Accelerators & compute	$123.7B	41.50%	+54.5%	20
HBM	$49.2B	16.50%	+131.7%	10
Networking & interconnect	$26.8B	9.00%	+55.6%	15
Host CPUs & support silicon	$22.3B	7.50%	+31.7%	10
Storage	$17.9B	6.00%	+28.7%	10
Standard memory	$17.9B	6.00%	+42.8%	10
Advanced packaging, substrates & test	$16.4B	5.50%	+39.2%	10
Optics & photonics	$13.4B	4.50%	+69.0%	10
Power, cooling, mechanicals & integration	$10.4B	3.50%	+37.9%	5

Open the full 100 modeled silicon categories table

Silicon basket: full 100 modeled categories

These are modeled procurement buckets, not audited published segment revenues. Amounts are allocated from the US$298B basket anchor using source-led group weights and subgroup adjustments.

Showing 100 of 100


1	Accelerators & compute	Hyperscaler training accelerators	$21.3B	7.14%	+58.0%	High	Largest single spend bucket: frontier-model training still clears price through the most expensive accelerator modules.	S1 S2 S3 S4 S12
2	Accelerators & compute	Hyperscaler inference accelerators	$17.3B	5.79%	+62.0%	High	Inference is scaling rapidly as deployed models serve more users, raising demand for dense accelerator fleets.	S1 S2 S3 S4 S12
3	Accelerators & compute	OEM training accelerators	$12.7B	4.25%	+44.0%	High	Enterprise and OEM training clusters trail hyperscaler scale but still buy high-ASP accelerator systems.	S1 S2 S3 S4 S12
4	Accelerators & compute	OEM inference accelerators	$10.9B	3.67%	+47.0%	High	Commercial deployments are broadening from pilots to production inference, lifting OEM accelerator demand.	S1 S2 S3 S4 S12
5	HBM	HBM3e high-capacity stacks	$10.4B	3.50%	+145.0%	High	The highest-bandwidth memory stacks attach to the most expensive training accelerators and capture the richest pricing.	S1 S2 S6 S7 S12
6	HBM	HBM3e mainstream stacks	$8.9B	3.00%	+130.0%	High	Mainstream HBM3e is scaling with the broad ramp of current-generation AI accelerators.	S1 S2 S6 S7 S12
7	Accelerators & compute	Sovereign-cloud accelerators	$8.6B	2.90%	+52.0%	High	National and regional AI buildouts are creating a second wave of high-end accelerator purchases.	S1 S2 S3 S4 S12
8	HBM	HBM3e for custom ASICs	$7.7B	2.58%	+150.0%	High	Custom AI ASICs are adopting HBM aggressively to keep model throughput high.	S1 S2 S6 S7 S12
9	Accelerators & compute	Custom CSP training ASICs	$7.5B	2.51%	+72.0%	High	Large cloud providers are increasing in-house silicon to control cost, power, and model-specific optimization.	S1 S2 S3 S4 S12
10	Accelerators & compute	Custom CSP inference ASICs	$6.3B	2.12%	+78.0%	Medium	Custom inference silicon grows faster where token economics reward workload-specific designs.	S1 S2 S3 S4 S12
11	Accelerators & compute	China-compliant accelerators	$5.5B	1.85%	+36.0%	Medium	Restrictions cap performance and complicate mix, but compliant products still command meaningful spend.	S1 S2 S3 S4 S12
12	HBM	HBM for sovereign-cloud systems	$5.5B	1.83%	+135.0%	High	Sovereign-cloud deployments increasingly require top-tier memory density, not just compute availability.	S1 S2 S6 S7 S12
13	Accelerators & compute	Full-rack accelerator blades	$5.2B	1.74%	+80.0%	Medium	Integrated rack-scale systems raise ticket size by bundling compute, networking, and power at the rack level.	S1 S2 S3 S4 S12
14	Accelerators & compute	Modular accelerator trays	$4.8B	1.62%	+51.0%	Medium	Modular sleds remain a common procurement unit for AI clusters outside the newest full-rack designs.	S1 S2 S3 S4 S12
15	Networking & interconnect	800G AI NICs	$4.6B	1.53%	+86.0%	High	Higher-speed NICs become mandatory as cluster size and model parallelism rise.	S3 S5 S13
16	HBM	HBM for China-compliant systems	$4.5B	1.50%	+80.0%	High	Export restrictions constrain the highest-end attach rates in some China-facing systems.	S1 S2 S6 S7 S12
17	Accelerators & compute	OAM accelerator modules	$4.4B	1.47%	+40.0%	Medium	OAM remains important for scale-up systems, though spend is being re-tilted toward integrated rack systems.	S1 S2 S3 S4 S12
18	Host CPUs & support silicon	x86 host CPUs for AI training nodes	$4.4B	1.46%	+32.0%	Medium	Accelerated servers still need powerful hosts for orchestration, preprocessing, and system balance.	S3 S4 S12
19	Advanced packaging, substrates & test	CoWoS / 2.5D packaging services	$4.3B	1.43%	+35.0%	Medium	Advanced package capacity remains a chokepoint for high-end AI silicon.	S2 S7 S12
20	Standard memory	High-capacity DDR5 RDIMMs	$3.8B	1.29%	+50.0%	Medium	CPU-side memory remains essential for data preparation, orchestration, and mixed workloads around the accelerator cluster.	S2 S6 S12
21	Accelerators & compute	SXM accelerator modules	$3.8B	1.27%	+38.0%	Medium	Legacy high-end module formats still matter, but roadmap mix is shifting toward newer rack-level designs.	S1 S2 S3 S4 S12
22	Networking & interconnect	400G AI NICs	$3.7B	1.25%	+46.0%	High	400G still ships heavily but is being displaced at the frontier by 800G designs.	S3 S5 S13
23	Storage	High-performance NVMe SSDs for training	$3.6B	1.20%	+30.0%	Medium	Training clusters need very fast local and shared storage for data staging and checkpointing.	S8 S9 S10 S11
24	HBM	HBM4 early sampling and pilots	$3.5B	1.17%	+200.0%	High	Early HBM4 work is small in absolute dollars but growing explosively as next-gen platforms prepare.	S1 S2 S6 S7 S12
25	Host CPUs & support silicon	x86 host CPUs for AI inference nodes	$3.2B	1.09%	+38.0%	Medium	Inference servers often use more CPU-side orchestration than pure training boxes.	S3 S4 S12
26	HBM	Capacity-reserved HBM wafer starts	$3.2B	1.08%	+125.0%	Medium	Reservation and allocation behavior remains important in a tight market, but growth is slower than delivered stacks.	S1 S2 S6 S7 S12
27	Accelerators & compute	PCIe accelerator cards	$3.2B	1.08%	+26.0%	Medium	PCIe add-in cards stay relevant for midrange deployment, but they are losing share to denser AI-server formats.	S1 S2 S3 S4 S12
28	Power, cooling, mechanicals & integration	High-density power supplies	$3.1B	1.05%	+30.0%	Medium	Power density climbs with accelerator racks, lifting value per node even without explosive unit growth.	S2 S3 S13
29	Optics & photonics	800G optical transceivers	$3.1B	1.04%	+62.0%	Medium	The shift to denser AI fabrics lifts transceiver value directly as links scale up.	S5 S13
30	Storage	Capacity NVMe SSDs for inference	$3.0B	1.02%	+26.0%	Medium	Inference fleets increasingly favor dense flash for fast retrieval and low-latency serving.	S8 S9 S10 S11
31	Standard memory	Standard DDR5 RDIMMs	$3.0B	0.99%	+42.0%	Medium	Standard DIMMs are still widely consumed but are less supply-constrained than HBM.	S2 S6 S12
32	Advanced packaging, substrates & test	3D-IC / 3.5D packaging services	$2.8B	0.94%	+60.0%	Medium	More vertically integrated package formats are growing from a smaller base.	S2 S7 S12
33	Networking & interconnect	SmartNICs and DPUs	$2.8B	0.93%	+52.0%	High	Infrastructure offload remains valuable for storage, security, and datapath efficiency.	S3 S5 S13
34	Accelerators & compute	Edge inference accelerators	$2.8B	0.93%	+30.0%	Medium	Edge AI spend is growing, but it is much smaller than datacenter-scale procurement.	S1 S2 S3 S4 S12
35	HBM	Pre-packaged HBM inventory buffers	$2.7B	0.92%	+100.0%	Low	Inventory buffers exist because lead times are strategic, though spend here grows slower than end demand.	S1 S2 S6 S7 S12
36	Host CPUs & support silicon	Arm host CPUs for AI nodes	$2.7B	0.90%	+44.0%	Medium	Arm server CPU adoption is increasing in cloud environments where power efficiency and platform control matter.	S3 S4 S12
37	Networking & interconnect	102.4T switch ASICs	$2.6B	0.88%	+90.0%	High	Very large switch silicon captures outsized value in the newest scale-out AI fabrics.	S3 S5 S13
38	Accelerators & compute	Scale-up fabric ASICs	$2.5B	0.85%	+73.0%	Medium	As clusters grow, scale-up fabrics become a direct spend line rather than a design afterthought.	S1 S2 S3 S4 S12
39	Storage	QLC SSDs for vector / retrieval stores	$2.5B	0.84%	+50.0%	Medium	Retrieval-augmented systems and AI data services make cheaper high-capacity flash more attractive.	S8 S9 S10 S11
40	Optics & photonics	1.6T optical transceivers	$2.4B	0.81%	+107.0%	Medium	1.6T is still early but is one of the fastest-ramping premium optical categories.	S5 S13
41	Power, cooling, mechanicals & integration	Voltage regulation and power shelves	$2.4B	0.81%	+35.0%	Medium	Rack-scale AI systems need much heavier in-rack power management than prior server generations.	S2 S3 S13
42	Host CPUs & support silicon	General server CPUs for control planes	$2.3B	0.79%	+20.0%	Medium	Control-plane workloads grow, but they are smaller and lower-ASP than main host CPU sockets.	S3 S4 S12
43	Standard memory	LPDDR / GDDR for midrange AI systems	$2.2B	0.75%	+35.0%	Medium	Midrange and specialized systems use graphics-style memory where cost or form factor matters.	S2 S6 S12
44	Advanced packaging, substrates & test	ABF substrates	$2.2B	0.74%	+30.0%	Medium	Premium substrates remain a necessary enabler for complex accelerator packages.	S2 S7 S12
45	Host CPUs & support silicon	CXL controller silicon	$2.1B	0.71%	+50.0%	Medium	CXL is still early but becoming more relevant as memory pooling and expansion move from concept to deployment.	S3 S4 S12
46	Networking & interconnect	51.2T switch ASICs	$2.1B	0.70%	+36.0%	Medium	51.2T remains a major installed base, but leading-edge demand is moving upward.	S3 S5 S13
47	Accelerators & compute	Accelerator bridge silicon	$2.1B	0.69%	+60.0%	Medium	Bridge silicon expands with multi-die and multi-accelerator packaging complexity.	S1 S2 S3 S4 S12
48	Power, cooling, mechanicals & integration	Liquid cooling cold plates / manifolds	$2.0B	0.67%	+50.0%	Medium	Liquid cooling adoption rises as rack power density breaks air-cooling limits.	S2 S3 S13
49	Standard memory	CXL memory expansion modules	$2.0B	0.66%	+63.0%	Medium	Disaggregated memory is still early, but it is one of the faster-growing memory-adjacent categories.	S2 S6 S12
50	Networking & interconnect	Low-latency fabric controllers	$1.9B	0.65%	+50.0%	Medium	AI networking prioritizes low jitter and lossless performance, supporting premium fabric silicon.	S3 S5 S13
51	Optics & photonics	Optical DSPs	$1.9B	0.63%	+60.0%	Medium	Higher-speed optics increasingly rely on advanced DSP content.	S5 S13
52	Storage	Boot and local scratch SSDs	$1.9B	0.63%	+18.0%	Medium	Every system needs boot and scratch storage, but this is a lower-ASP part of the stack.	S8 S9 S10 S11
53	Storage	Nearline HDDs for AI data lakes	$1.8B	0.60%	+22.0%	Medium	HDDs still dominate the cold and warm layers of large AI data repositories.	S8 S9 S10 S11
54	Host CPUs & support silicon	Chipsets and I/O hubs	$1.8B	0.60%	+22.0%	Medium	Support logic scales with server volume but does not enjoy the same pricing power as accelerators or memory.	S3 S4 S12
55	HBM	Legacy HBM2e/HBM3 support	$1.7B	0.58%	+40.0%	Low	Older HBM generations still ship but are being displaced quickly by newer, denser stacks.	S1 S2 S6 S7 S12
56	Accelerators & compute	Compute chiplet sets	$1.7B	0.58%	+66.0%	Medium	Chipletization improves yield and design modularity, making it a larger share of advanced compute value.	S1 S2 S3 S4 S12
57	Host CPUs & support silicon	Baseboard management controllers	$1.7B	0.56%	+24.0%	Medium	Every server still needs management and telemetry, but these controllers are a modest share of system value.	S3 S4 S12
58	Networking & interconnect	Ethernet retimers	$1.7B	0.56%	+42.0%	Medium	Signal integrity spending rises with lane speed, though retimers remain a supporting category.	S3 S5 S13
59	Advanced packaging, substrates & test	Silicon interposers	$1.6B	0.55%	+40.0%	Medium	Interposer demand rises with HBM attach and multi-die packaging.	S2 S7 S12
60	Standard memory	Pooled memory appliances	$1.6B	0.54%	+59.0%	Medium	Shared-memory designs are emerging where large inference state and data locality matter.	S2 S6 S12
61	Power, cooling, mechanicals & integration	In-rack CDUs and pump loops	$1.6B	0.53%	+54.0%	Medium	CDUs and pump loops grow quickly once operators adopt liquid cooling at cluster scale.	S2 S3 S13
62	Networking & interconnect	PCIe Gen6 switches	$1.5B	0.51%	+48.0%	Medium	PCIe fabric expansion matters more as accelerator and storage topologies grow denser.	S3 S5 S13
63	Storage	SSD controllers and storage silicon	$1.5B	0.51%	+20.0%	Medium	Controller spend follows SSD volumes and enterprise mix shifts.	S8 S9 S10 S11
64	Optics & photonics	Co-packaged optics modules	$1.5B	0.50%	+84.0%	Medium	CPO moves from demonstration to meaningful spend where power and reach constraints tighten.	S5 S13
65	Advanced packaging, substrates & test	Package test and burn-in	$1.5B	0.50%	+55.0%	Medium	AI parts demand much heavier test intensity because of performance, yield, and thermal requirements.	S2 S7 S12
66	Host CPUs & support silicon	Boot and service processors	$1.5B	0.49%	+17.0%	Low	These processors are operationally necessary but economically small.	S3 S4 S12
67	Standard memory	DIMM PMICs and buffers	$1.4B	0.48%	+35.0%	Medium	Module-side power and control silicon rises with server memory density but remains a support category.	S2 S6 S12
68	Accelerators & compute	I/O chiplet sets	$1.4B	0.46%	+56.0%	Low	I/O chiplets benefit from the same multi-die trend but at a lower dollar intensity than compute tiles.	S1 S2 S3 S4 S12
69	Power, cooling, mechanicals & integration	Chassis, racks, and final integration	$1.4B	0.46%	+25.0%	Medium	Mechanical integration grows with system complexity, but it still trails silicon and memory in value capture.	S2 S3 S13
70	Host CPUs & support silicon	Memory-expansion controllers	$1.3B	0.45%	+40.0%	Low	More complex memory topologies make specialized control logic more valuable.	S3 S4 S12
71	Host CPUs & support silicon	Replacement and buffer CPU inventory	$1.3B	0.45%	+13.0%	Low	Buffers are prudent in a tight market, but they are not the core driver of silicon consumption.	S3 S4 S12
72	Standard memory	Low-latency memory for inference caches	$1.3B	0.42%	+55.0%	Medium	Inference-serving architectures increasingly optimize around cache hit rates and low-latency retrieval.	S2 S6 S12
73	Storage	DPU-attached storage modules	$1.3B	0.42%	+35.0%	Medium	Data-path acceleration is increasingly pulled closer to storage in AI-oriented architectures.	S8 S9 S10 S11
74	Networking & interconnect	PCIe Gen6 retimers	$1.2B	0.42%	+44.0%	Medium	Retimers benefit from the same speed transition but at smaller absolute value.	S3 S5 S13
75	Optics & photonics	VCSEL / EML laser components	$1.2B	0.40%	+50.0%	Medium	Laser component demand follows module volumes and speed transitions.	S5 S13
76	Advanced packaging, substrates & test	Wafer probe and characterization	$1.1B	0.39%	+40.0%	Medium	Probe intensity rises with die complexity and qualification cycles.	S2 S7 S12
77	Networking & interconnect	Scale-out network interface silicon	$1.1B	0.37%	+55.0%	Medium	Interface silicon is needed everywhere, but premium value concentrates in NICs and switches.	S3 S5 S13
78	Storage	AI-native storage appliances	$1.1B	0.36%	+40.0%	Low	AI-specific storage systems are growing from a small base as vendors bundle performance around retrieval workloads.	S8 S9 S10 S11
79	Optics & photonics	Photodiodes and receiver arrays	$1.1B	0.36%	+44.0%	Medium	Receiver-side optics scale with transceiver and photonics deployment.	S5 S13
80	Standard memory	Server-memory PCB and module materials	$1.1B	0.36%	+30.0%	Low	Materials benefit from module volume, but pricing is less explosive than primary memory silicon.	S2 S6 S12
81	Networking & interconnect	Copper direct-attach cables	$1.1B	0.35%	+32.0%	Medium	Copper remains useful at short reaches, though optics and active cables take more of the premium mix.	S3 S5 S13
82	Accelerators & compute	Accelerator respins and yield buffer	$1.0B	0.35%	+25.0%	Low	Respins and yield buffers rise when ramps are messy, but they are not the main event once volume stabilizes.	S1 S2 S3 S4 S12
83	HBM	Long-tail custom HBM configurations	$1.0B	0.33%	+110.0%	Low	Custom or unusual stack configurations matter at the margin, not at center scale.	S1 S2 S6 S7 S12
84	Advanced packaging, substrates & test	Chip-on-wafer bonding materials	$1.0B	0.33%	+30.0%	Medium	Bonding materials scale with advanced-packaging throughput.	S2 S7 S12
85	Networking & interconnect	Active electrical cables	$1.0B	0.32%	+42.0%	Medium	AECs grow with rack density but remain below transceiver-class dollar intensity.	S3 S5 S13
86	Optics & photonics	Silicon photonics engines	$0.9B	0.32%	+70.0%	Medium	Integrated photonics gains value as bandwidth density and power efficiency matter more.	S5 S13
87	Standard memory	Legacy DDR4 support inventory	$0.9B	0.30%	-10.0%	Low	Legacy memory stays in service where platforms lag, but strategic spend is moving to newer standards.	S2 S6 S12
88	Networking & interconnect	Backplane and midplane interconnects	$0.8B	0.28%	+36.0%	Low	Backplane complexity increases, but this spend grows slower than active networking silicon.	S3 S5 S13
89	Advanced packaging, substrates & test	Advanced package assembly	$0.8B	0.28%	+25.0%	Low	Assembly volume grows, but pricing power is lower than bottleneck services.	S2 S7 S12
90	Storage	Spare and replacement drives	$0.7B	0.24%	+8.0%	Low	Spare pools are operationally important but not a strategic growth bucket.	S8 S9 S10 S11
91	Accelerators & compute	Long-tail specialty accelerators	$0.7B	0.23%	+18.0%	Low	Specialized or niche AI accelerators exist, but broad hyperscaler demand concentrates value elsewhere.	S1 S2 S3 S4 S12
92	Optics & photonics	Optical couplers / waveguides	$0.7B	0.23%	+40.0%	Low	Passive optical components expand with system complexity but stay a secondary spend line.	S5 S13
93	Advanced packaging, substrates & test	Thermal lids and integrated heat spreaders	$0.7B	0.22%	+20.0%	Low	Thermal hardware scales with package density but is not the core value driver.	S2 S7 S12
94	Standard memory	Long-tail specialty memory modules	$0.6B	0.21%	+17.0%	Low	Niche modules exist, though most value is concentrated in mainstream server memory formats.	S2 S6 S12
95	Networking & interconnect	Timing / clock ICs for AI fabrics	$0.6B	0.19%	+20.0%	Low	Timing components are critical but small in value relative to headline fabric silicon.	S3 S5 S13
96	Storage	Archive / object-storage media	$0.5B	0.18%	+12.0%	Low	Archival layers remain necessary, though faster storage tiers capture more current spend.	S8 S9 S10 S11
97	Advanced packaging, substrates & test	Yield-learning / rework capacity	$0.4B	0.14%	+10.0%	Low	Rework and learning capacity matter most during ramps, then become a smaller share.	S2 S7 S12
98	Optics & photonics	Fiber connectivity and patching	$0.4B	0.14%	+32.0%	Low	Physical fiber plant is necessary but captures less value than active optical components.	S5 S13
99	Optics & photonics	Next-gen 3.2T optical readiness inventory	$0.3B	0.09%	+100.0%	Low	Readiness spending is still small, but the next speed transition is already pulling forward work.	S5 S13
100	Networking & interconnect	Long-tail network spares and buffers	$0.2B	0.06%	+10.0%	Low	Long-tail support items matter operationally, not strategically.	S3 S5 S13

Direct Comparison

Carbon wants shelter. Silicon wants throughput.

This is where the spreadsheet work returns to the original intuition. The analogy works best when it is read as a resource-allocation metaphor instead of a shared accounting framework.

	Human / carbon-based basket	Silicon / AI-cluster basket
Accounting basis	Official U.S. 2025 personal consumption expenditures from BEA/FRED.H3	Modeled 2025 AI-server-related procurement basket anchored to TrendForce and cross-checked with IDC.S1 S2 S3 S5
What dominates	Shelter, health care, food, finance, and broad services.H3	Accelerators, HBM, networking/interconnect, host CPUs, storage, and advanced packaging.S1 S2 S3 S7
Buyer pattern	Diffuse: nearly every household, every week, across millions of independent decisions.	Concentrated: hyperscalers, cloud platforms, sovereign projects, and a narrow enterprise buyer set.
Growth regime	Mostly mid-single-digit year over year at the top level, with occasional commodity-price swings.H3	High-double-digit to triple-digit growth in key bottlenecks such as accelerators, networking, and HBM.S2 S5
Main constraint	Income, demographics, rent, healthcare intensity, and service labor availability.	Advanced packaging, HBM supply, leading-edge foundry capacity, power density, and interconnect bandwidth.S2 S7 S13
Interpretation	Human consumption optimizes for survival, comfort, mobility, and social life.	Silicon consumption optimizes for tokens, training throughput, memory bandwidth, and latency.

Human basket in one line

Human spending is diffuse, repetitive, and necessity-loaded. The core functions are shelter, health, food, mobility, finance, and social participation.

Silicon basket in one line

Silicon spending is concentrated, capex-led, and bottleneck-loaded. The core functions are compute, memory bandwidth, network bandwidth, packaging yield, storage latency, and power density.

S1 S2 S3 S5 S7

Best way to read the analogy

The useful reading is not that AI literally consumes like households. It is that capital markets are increasingly prioritizing the hardware stack that keeps model systems alive, fed, and scaling.

S1 S2 S3

Stock Ideas

Exposure proxies by basket

These names are chosen as exposure proxies rather than literal one-to-one matches. The point is to map the basket logic into listed companies with direct operational exposure.

Human / carbon-based basket

Novartis

SIX: NOVN / NYSE: NVS

Non-US-based

Innovative pharmaceuticals

Alpha

#5 · 32.7

Price

CHF 125

YTD

+15.2%

Cap

$295.9B

FY2025 net sales: $54.5B

Another direct proxy for the large and growing pharmaceutical component of the human consumption basket.

Risk watch: Patent cliffs, pipeline execution, and reimbursement pressure.

Alpha audit: Defensive consumption proxy, but lower alpha because the basket is consensus, mature, and already institutionally owned.

Nestlé

SIX: NESN

Non-US-based

Packaged food, beverages, nutrition, pet care

Alpha

#6 · 32.0

Price

CHF 83.03

YTD

+8.6%

Cap

$269.6B

2025 sales: CHF 89.5B

A diversified way to express everyday food-and-beverage demand, with additional exposure to nutrition and pet categories.

Risk watch: FX, coffee/cocoa costs, and slower discretionary food categories.

Alpha audit: Defensive consumption proxy, but lower alpha because the basket is consensus, mature, and already institutionally owned.

Walmart

NYSE: WMT

US-based

Scale retail, grocery, consumables, pharmacy

Alpha

#7 · 27.7

Price

USD 113

YTD

+0.3%

Cap

$904.8B

FY2026 revenue: $713B

A broad proxy for recurring household spend, especially groceries, everyday goods, and pharmacy-led traffic.

Risk watch: Low-margin retail; mix shifts and consumer trade-down can change profit capture even if basket demand stays firm.

Alpha audit: Defensive consumption proxy, but lower alpha because the basket is consensus, mature, and already institutionally owned.

Eli Lilly

NYSE: LLY

US-based

Pharmaceuticals

Alpha

#8 · 24.4

Price

USD 1,216

YTD

+12.5%

Cap

$1.07T

FY2025 revenue: $65.2B

Direct proxy for one of the biggest current human-goods lines: pharmaceutical and medical-product consumption.

Risk watch: Concentration in a few blockbuster franchises and policy risk around drug pricing.

Alpha audit: Defensive consumption proxy, but lower alpha because the basket is consensus, mature, and already institutionally owned.

Silicon / AI-cluster basket

Broadcom

NASDAQ: AVGO

US-based

Custom AI accelerators, AI networking, connectivity

Alpha

#1 · 78.5

Price

USD 389

YTD

+11.8%

Cap

$1.85T

Q1 FY2026 AI revenue: $8.4B (+106% YoY)

Strong exposure to two fast-growing silicon needs at once: custom accelerators and AI networking/interconnect.

Risk watch: AI program concentration among a small number of hyperscale buyers.

Alpha audit: Silicon-basket proxy repriced for AI 2027 compute growth, HBM/networking intensity, and June 2026 market cap/YTD discipline.

A1 A2 A3 A4 C10 C6

NVIDIA

NASDAQ: NVDA

US-based

Accelerators, AI systems, networking

Alpha

#2 · 75.2

Price

USD 204

YTD

+8.1%

Cap

$4.94T

FY2026 revenue: $215.9B; Data Center: $193.7B

The clearest listed proxy for the single largest silicon-basket bucket: high-end accelerators and AI-system demand.

Risk watch: Customer concentration, export controls, and the pace of custom-ASIC substitution.

Alpha audit: Silicon-basket proxy repriced for AI 2027 compute growth, HBM/networking intensity, and June 2026 market cap/YTD discipline.

A1 A2 A3 A4 C5

TSMC

TWSE: 2330 / NYSE ADR: TSM

Non-US-based

Leading-edge foundry

Alpha

#3 · 73.7

Price

TWD 2,415

YTD

+52.4%

Cap

$1.98T

2025 revenue: NT$3,809.05B; advanced nodes 77% of Q4 wafer revenue

A core manufacturing bottleneck for the compute-heavy side of the silicon basket, especially leading-edge AI chips.

Risk watch: Geopolitics, capex intensity, and cyclicality outside AI.

Alpha audit: Silicon-basket proxy repriced for AI 2027 compute growth, HBM/networking intensity, and June 2026 market cap/YTD discipline.

A1 A2 A3 A4 C7 C8

SK hynix

KRX: 000660

Non-US-based

HBM and AI memory

Alpha

#4 · 66.6

Price

KRW 2,186,000

YTD

+222.9%

Cap

$1.33T

FY2025 revenue: 97.1467T won

Direct exposure to the fastest-growing memory layer in the silicon basket: HBM attached to AI accelerators.

Risk watch: Memory-price cyclicality and execution on next-generation HBM qualification.

Alpha audit: Silicon-basket proxy repriced for AI 2027 compute growth, HBM/networking intensity, and June 2026 market cap/YTD discipline.

A1 A2 A3 A4 C9

Open the stock recommendation table

Stock ideas by consumption type

Informational only. These are exposure proxies, not personalized investment advice.

Showing 8 of 8


Silicon / AI-cluster consumption	US-based	Broadcom	`NASDAQ: AVGO`	#1 78.5	USD 389	+11.8%	$1.85T	Custom AI accelerators, AI networking, connectivity	Q1 FY2026 AI revenue: $8.4B (+106% YoY)	Strong exposure to two fast-growing silicon needs at once: custom accelerators and AI networking/interconnect.	AI program concentration among a small number of hyperscale buyers.	A1 A2 A3 A4 C10 C6
Silicon / AI-cluster consumption	US-based	NVIDIA	`NASDAQ: NVDA`	#2 75.2	USD 204	+8.1%	$4.94T	Accelerators, AI systems, networking	FY2026 revenue: $215.9B; Data Center: $193.7B	The clearest listed proxy for the single largest silicon-basket bucket: high-end accelerators and AI-system demand.	Customer concentration, export controls, and the pace of custom-ASIC substitution.	A1 A2 A3 A4 C5
Silicon / AI-cluster consumption	Non-US-based	TSMC	`TWSE: 2330 / NYSE ADR: TSM`	#3 73.7	TWD 2,415	+52.4%	$1.98T	Leading-edge foundry	2025 revenue: NT$3,809.05B; advanced nodes 77% of Q4 wafer revenue	A core manufacturing bottleneck for the compute-heavy side of the silicon basket, especially leading-edge AI chips.	Geopolitics, capex intensity, and cyclicality outside AI.	A1 A2 A3 A4 C7 C8
Silicon / AI-cluster consumption	Non-US-based	SK hynix	`KRX: 000660`	#4 66.6	KRW 2,186,000	+222.9%	$1.33T	HBM and AI memory	FY2025 revenue: 97.1467T won	Direct exposure to the fastest-growing memory layer in the silicon basket: HBM attached to AI accelerators.	Memory-price cyclicality and execution on next-generation HBM qualification.	A1 A2 A3 A4 C9
Human / carbon-based consumption	Non-US-based	Novartis	`SIX: NOVN / NYSE: NVS`	#5 32.7	CHF 125	+15.2%	$295.9B	Innovative pharmaceuticals	FY2025 net sales: $54.5B	Another direct proxy for the large and growing pharmaceutical component of the human consumption basket.	Patent cliffs, pipeline execution, and reimbursement pressure.	C4
Human / carbon-based consumption	Non-US-based	Nestlé	`SIX: NESN`	#6 32.0	CHF 83.03	+8.6%	$269.6B	Packaged food, beverages, nutrition, pet care	2025 sales: CHF 89.5B	A diversified way to express everyday food-and-beverage demand, with additional exposure to nutrition and pet categories.	FX, coffee/cocoa costs, and slower discretionary food categories.	C3
Human / carbon-based consumption	US-based	Walmart	`NYSE: WMT`	#7 27.7	USD 113	+0.3%	$904.8B	Scale retail, grocery, consumables, pharmacy	FY2026 revenue: $713B	A broad proxy for recurring household spend, especially groceries, everyday goods, and pharmacy-led traffic.	Low-margin retail; mix shifts and consumer trade-down can change profit capture even if basket demand stays firm.	C1
Human / carbon-based consumption	US-based	Eli Lilly	`NYSE: LLY`	#8 24.4	USD 1,216	+12.5%	$1.07T	Pharmaceuticals	FY2025 revenue: $65.2B	Direct proxy for one of the biggest current human-goods lines: pharmaceutical and medical-product consumption.	Concentration in a few blockbuster franchises and policy risk around drug pricing.	C2

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Everything used to build the page

If you want to re-rank, filter, or chart the data yourself, the flat files and the original HTML bundle are linked below.

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Original HTML archive

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Tweet screenshot

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human_published_100.csv

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human_clean_partition_16.csv

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human_top_goods_leaf_20.csv

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silicon_modeled_100.csv

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silicon_group_summary.csv

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stock_recommendations.csv

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sources.csv

Source Appendix

Every source used in the report

The appendix includes the uploaded tweet screenshot and every web source referenced in the page.

Tweet screenshot (uploaded by user)

Uploaded screenshot

Project inspiration and the framing quote.

BEA Consumer Spending page

https://www.bea.gov/index.php/data/consumer-spending/main

Methodology note that BEA underlying detail tables exist and that detailed estimates are less reliable than higher aggregates.

BEA FAQ 84 on detailed PCE estimates and the PCE Bridge

https://www.bea.gov/help/faq/84

Methodological limit: Table 2.4.5U is the most detailed current time-series PCE table; benchmark-year bridge provides more commodity detail.

FRED / BEA Table 2.4.5 Personal Consumption Expenditures by Type of Product (2025 annual)

https://fred.stlouisfed.org/release/tables?eid=44183&rid=53

All 2025 and 2024 human consumption amounts in the page, including the top-100 current published series.

TrendForce press-center listing for Jan. 6, 2025 AI server outlook

https://www.trendforce.com/presscenter/news/Semiconductors?page=21

Anchor for the modeled silicon basket: AI-server-related industry value of US$298B in 2025 and AI servers above 70% of server-industry value.

TrendForce: Strong Demand from CSPs and Sovereign Cloud to Drive Over 20% Growth in AI Server Shipments by 2026

https://www.trendforce.com/presscenter/news/20251030-12762.html

2025 AI server revenue almost +48%, 2026 AI servers 74% of server-market value, NVIDIA ~70% AI-chip share in 2025, and HBM demand +130% from 2025 AI-chip shipments.

IDC 4Q25 Worldwide Server Tracker press release

https://www.idc.com/resource-center/press-releases/4q25servertracker/

Official 2025 global server market result ($444.1B, +80.4%) plus IDC server-system taxonomy.

IDC Servers Market Insights

https://www.idc.com/promo/servers/

Context that AI infrastructure buildout remained the dominant force in late 2025.

IDC Ethernet switch market size and growth blog

https://www.idc.com/resource-center/blog/ethernet-switch-market-size-and-growth-datacenter-segment-surges-60-in-q4-as-ai-workloads-expand/

Network-growth signal: datacenter Ethernet switch market growth and 800G mix.

TrendForce memory revenue outlook (HBM / DRAM / NAND)

https://www.trendforce.com/presscenter/news/20240722-12228.html

Memory-market context, including DRAM 2025 revenue outlook and the role of HBM.

SEMI 2025 semiconductor equipment billings

https://www.semi.org/en/SEMI-Reports-Global-Semiconductor-Equipment-Billings-Reached-135-Billion-in-2025

Packaging/test capacity signal: assembly & packaging +21%, test +55% in 2025.

TrendForce 2Q25 enterprise SSD revenue update

https://www.trendforce.com/presscenter/news/20250908-12703.html

Storage demand signal: top-five enterprise SSD revenue +12.7% QoQ in 2Q25.

TrendForce 3Q25 enterprise SSD revenue update

https://www.trendforce.com/presscenter/news/20251205-12819.html

Storage demand signal: top-five enterprise SSD revenue +28% in 3Q25.

S10

TrendForce 3Q25 NAND-flash demand update

https://www.trendforce.com/presscenter/news/20251203-12813.html

NAND demand context from continuing AI-infrastructure buildout.

S11

TrendForce nearline HDD shortages / QLC SSD breakout note

https://www.trendforce.com/presscenter/news/20250915-12714.html

HDD supply stress and QLC SSD adoption signal.

S12

SIA global semiconductor sales 2025

https://www.semiconductors.org/global-annual-semiconductor-sales-increase-25-6-to-791-7-billion-in-2025/

Semiconductor macro context: 2025 sales total and logic/memory leadership.

S13

Broadcom OFC 2026 AI infrastructure portfolio

https://investors.broadcom.com/news-releases/news-release-details/broadcom-showcases-industry-leading-solutions-scaling-ai

Examples of live AI-infrastructure goods: 102.4T switch, 800G NIC, optics, PCIe, co-packaged optics.

S14

Vertiv first quarter 2026 results

https://investors.vertiv.com/news/news-details/2026/Vertiv-Reports-Strong-First-Quarter-with-Diluted-EPS-Growth-of-136-Adjusted-Diluted-EPS-Growth-of-83-Raises-Full-Year-Guidance/

Q1 2026 results: net sales $2.65B (+30%) and raised full-year guidance; data-center power and cooling demand remained strong.

S15

GE Vernova first quarter 2026 results

https://www.gevernova.com/news/press-releases/ge-vernova-reports-first-quarter-2026-financial

Q1 2026 results: $18.3B of orders (+71% organically), $2.4B of equipment orders to support data centers, and raised 2026 guidance.

Walmart FY2026 revenue / company overview note

https://corporate.walmart.com/news/2026/02/19/walmart-raises-annual-dividend-to-0-99-per-share-marking-53rd-consecutive-year-of-dividend-increases

Walmart revenue scale and company profile.

Eli Lilly fourth-quarter and full-year 2025 results

https://investor.lilly.com/news-releases/news-release-details/lilly-reports-fourth-quarter-2025-financial-results-and-provides

Lilly revenue scale and pharma exposure.

Nestlé full-year 2025 results

https://www.nestle.com/media/pressreleases/allpressreleases/full-year-results-2025

Nestlé revenue scale and category exposure.

Novartis annual results 2025

https://www.novartis.com/Investors/financial-data/Annual-results

Novartis revenue scale and pharma exposure.

NVIDIA fiscal 2026 results

https://nvidianews.nvidia.com/news/nvidia-announces-financial-results-for-fourth-quarter-and-fiscal-2026

NVIDIA revenue and data-center exposure.

Broadcom Q1 FY2026 results

https://investors.broadcom.com/node/63976/pdf

Broadcom AI revenue and custom-accelerator / networking exposure.

TSMC December 2025 revenue report

https://pr.tsmc.com/english/news/3278

TSMC 2025 revenue scale.

TSMC Q4 2025 results

https://pr.tsmc.com/english/news/3281

TSMC advanced-node mix (77% of Q4 wafer revenue).

SK hynix FY2025 results

https://news.skhynix.com/sk-hynix-announces-fy25-financial-results/

SK hynix revenue scale and AI-memory/HBM exposure.

C10

Broadcom OFC 2026 AI infrastructure portfolio

https://investors.broadcom.com/news-releases/news-release-details/broadcom-showcases-industry-leading-solutions-scaling-ai

Broadcom product-level AI-infrastructure examples (switches, NICs, optics, PCIe).

AI 2027 Compute Forecast

https://ai-2027.com/research/compute-forecast

Current thesis audit: AI-relevant compute growth, compute concentration, synthetic data generation, and research-automation inference budgets.

IEA Key Questions on Energy and AI

https://www.iea.org/news/data-centre-electricity-use-surged-in-2025-even-with-tightening-bottlenecks-driving-a-scramble-for-solutions

Current thesis audit: data-centre electricity demand, AI-agent load growth, and grid/gas-turbine/transformer bottlenecks.

NVIDIA fiscal 2027 first-quarter results

https://investor.nvidia.com/news/press-release-details/2026/NVIDIA-Announces-Financial-Results-for-First-Quarter-Fiscal-2027/default.aspx

Current thesis audit: AI-factory demand, data-center networking growth, Blackwell/Rubin transition, and physical-AI revenue framing.

Micron HBM4 high-volume production for NVIDIA Vera Rubin

https://investors.micron.com/news-releases/news-release-details/micron-high-volume-production-hbm4-designed-nvidia-vera-rubin

Current thesis audit: HBM4, SOCAMM2, and AI storage as higher-value silicon-basket constraints.

Yahoo Finance chart endpoint

https://query1.finance.yahoo.com/v8/finance/chart/{symbol}?range=ytd&interval=1d

July 9, 2026 latest prices and YTD return refresh for public stock-exposure proxies.

Open the same source list as a searchable table

Complete source appendix

H0 is the uploaded tweet screenshot; everything else is a web source.

Showing 34 of 34


A1	AI 2027 Compute Forecast	https://ai-2027.com/research/compute-forecast	Current thesis audit: AI-relevant compute growth, compute concentration, synthetic data generation, and research-automation inference budgets.
A2	IEA Key Questions on Energy and AI	https://www.iea.org/news/data-centre-electricity-use-surged-in-2025-even-with-tightening-bottlenecks-driving-a-scramble-for-solutions	Current thesis audit: data-centre electricity demand, AI-agent load growth, and grid/gas-turbine/transformer bottlenecks.
A3	NVIDIA fiscal 2027 first-quarter results	https://investor.nvidia.com/news/press-release-details/2026/NVIDIA-Announces-Financial-Results-for-First-Quarter-Fiscal-2027/default.aspx	Current thesis audit: AI-factory demand, data-center networking growth, Blackwell/Rubin transition, and physical-AI revenue framing.
A4	Micron HBM4 high-volume production for NVIDIA Vera Rubin	https://investors.micron.com/news-releases/news-release-details/micron-high-volume-production-hbm4-designed-nvidia-vera-rubin	Current thesis audit: HBM4, SOCAMM2, and AI storage as higher-value silicon-basket constraints.
C1	Walmart FY2026 revenue / company overview note	https://corporate.walmart.com/news/2026/02/19/walmart-raises-annual-dividend-to-0-99-per-share-marking-53rd-consecutive-year-of-dividend-increases	Walmart revenue scale and company profile.
C10	Broadcom OFC 2026 AI infrastructure portfolio	https://investors.broadcom.com/news-releases/news-release-details/broadcom-showcases-industry-leading-solutions-scaling-ai	Broadcom product-level AI-infrastructure examples (switches, NICs, optics, PCIe).
C2	Eli Lilly fourth-quarter and full-year 2025 results	https://investor.lilly.com/news-releases/news-release-details/lilly-reports-fourth-quarter-2025-financial-results-and-provides	Lilly revenue scale and pharma exposure.
C3	Nestlé full-year 2025 results	https://www.nestle.com/media/pressreleases/allpressreleases/full-year-results-2025	Nestlé revenue scale and category exposure.
C4	Novartis annual results 2025	https://www.novartis.com/Investors/financial-data/Annual-results	Novartis revenue scale and pharma exposure.
C5	NVIDIA fiscal 2026 results	https://nvidianews.nvidia.com/news/nvidia-announces-financial-results-for-fourth-quarter-and-fiscal-2026	NVIDIA revenue and data-center exposure.
C6	Broadcom Q1 FY2026 results	https://investors.broadcom.com/node/63976/pdf	Broadcom AI revenue and custom-accelerator / networking exposure.
C7	TSMC December 2025 revenue report	https://pr.tsmc.com/english/news/3278	TSMC 2025 revenue scale.
C8	TSMC Q4 2025 results	https://pr.tsmc.com/english/news/3281	TSMC advanced-node mix (77% of Q4 wafer revenue).
C9	SK hynix FY2025 results	https://news.skhynix.com/sk-hynix-announces-fy25-financial-results/	SK hynix revenue scale and AI-memory/HBM exposure.
H0	Tweet screenshot (uploaded by user)	Uploaded screenshot	Project inspiration and the framing quote.
H1	BEA Consumer Spending page	https://www.bea.gov/index.php/data/consumer-spending/main	Methodology note that BEA underlying detail tables exist and that detailed estimates are less reliable than higher aggregates.
H2	BEA FAQ 84 on detailed PCE estimates and the PCE Bridge	https://www.bea.gov/help/faq/84	Methodological limit: Table 2.4.5U is the most detailed current time-series PCE table; benchmark-year bridge provides more commodity detail.
H3	FRED / BEA Table 2.4.5 Personal Consumption Expenditures by Type of Product (2025 annual)	https://fred.stlouisfed.org/release/tables?eid=44183&rid=53	All 2025 and 2024 human consumption amounts in the page, including the top-100 current published series.
S1	TrendForce press-center listing for Jan. 6, 2025 AI server outlook	https://www.trendforce.com/presscenter/news/Semiconductors?page=21	Anchor for the modeled silicon basket: AI-server-related industry value of US$298B in 2025 and AI servers above 70% of server-industry value.
S10	TrendForce 3Q25 NAND-flash demand update	https://www.trendforce.com/presscenter/news/20251203-12813.html	NAND demand context from continuing AI-infrastructure buildout.
S11	TrendForce nearline HDD shortages / QLC SSD breakout note	https://www.trendforce.com/presscenter/news/20250915-12714.html	HDD supply stress and QLC SSD adoption signal.
S12	SIA global semiconductor sales 2025	https://www.semiconductors.org/global-annual-semiconductor-sales-increase-25-6-to-791-7-billion-in-2025/	Semiconductor macro context: 2025 sales total and logic/memory leadership.
S13	Broadcom OFC 2026 AI infrastructure portfolio	https://investors.broadcom.com/news-releases/news-release-details/broadcom-showcases-industry-leading-solutions-scaling-ai	Examples of live AI-infrastructure goods: 102.4T switch, 800G NIC, optics, PCIe, co-packaged optics.
S14	Vertiv first quarter 2026 results	https://investors.vertiv.com/news/news-details/2026/Vertiv-Reports-Strong-First-Quarter-with-Diluted-EPS-Growth-of-136-Adjusted-Diluted-EPS-Growth-of-83-Raises-Full-Year-Guidance/	Q1 2026 results: net sales $2.65B (+30%) and raised full-year guidance; data-center power and cooling demand remained strong.
S15	GE Vernova first quarter 2026 results	https://www.gevernova.com/news/press-releases/ge-vernova-reports-first-quarter-2026-financial	Q1 2026 results: $18.3B of orders (+71% organically), $2.4B of equipment orders to support data centers, and raised 2026 guidance.
S2	TrendForce: Strong Demand from CSPs and Sovereign Cloud to Drive Over 20% Growth in AI Server Shipments by 2026	https://www.trendforce.com/presscenter/news/20251030-12762.html	2025 AI server revenue almost +48%, 2026 AI servers 74% of server-market value, NVIDIA ~70% AI-chip share in 2025, and HBM demand +130% from 2025 AI-chip shipments.
S3	IDC 4Q25 Worldwide Server Tracker press release	https://www.idc.com/resource-center/press-releases/4q25servertracker/	Official 2025 global server market result ($444.1B, +80.4%) plus IDC server-system taxonomy.
S4	IDC Servers Market Insights	https://www.idc.com/promo/servers/	Context that AI infrastructure buildout remained the dominant force in late 2025.
S5	IDC Ethernet switch market size and growth blog	https://www.idc.com/resource-center/blog/ethernet-switch-market-size-and-growth-datacenter-segment-surges-60-in-q4-as-ai-workloads-expand/	Network-growth signal: datacenter Ethernet switch market growth and 800G mix.
S6	TrendForce memory revenue outlook (HBM / DRAM / NAND)	https://www.trendforce.com/presscenter/news/20240722-12228.html	Memory-market context, including DRAM 2025 revenue outlook and the role of HBM.
S7	SEMI 2025 semiconductor equipment billings	https://www.semi.org/en/SEMI-Reports-Global-Semiconductor-Equipment-Billings-Reached-135-Billion-in-2025	Packaging/test capacity signal: assembly & packaging +21%, test +55% in 2025.
S8	TrendForce 2Q25 enterprise SSD revenue update	https://www.trendforce.com/presscenter/news/20250908-12703.html	Storage demand signal: top-five enterprise SSD revenue +12.7% QoQ in 2Q25.
S9	TrendForce 3Q25 enterprise SSD revenue update	https://www.trendforce.com/presscenter/news/20251205-12819.html	Storage demand signal: top-five enterprise SSD revenue +28% in 3Q25.
YF	Yahoo Finance chart endpoint	https://query1.finance.yahoo.com/v8/finance/chart/{symbol}?range=ytd&interval=1d	July 9, 2026 latest prices and YTD return refresh for public stock-exposure proxies.

What humans spend onversus what the AI stack“spends” on.

Shelter dominates carbon. Throughput dominates silicon.

Five takeaways

What the tweet gets right

The page only works if the boundaries are explicit.

Human side: what is official, and what is not

Silicon side: why it is modeled

Assumptions used in the build

The official human basket is mostly shelter, care, food, and services.

Top official human buckets

Goods versus services

How to read the human side

Largest current goods-only leaf lines

Human consumption: clean 16-bucket partition

Human goods-only highlights: top 20 current leaf categories

Human consumption: full top-100 current published series

The modeled silicon basket is concentrated, capex-led, and bottleneck-driven.

Nine modeled non-overlapping silicon groups

Group size versus growth

Reasoning behind the basket

Top modeled silicon categories

Silicon basket: 9 modeled non-overlapping groups

Silicon basket: full 100 modeled categories

Carbon wants shelter. Silicon wants throughput.

Exposure proxies by basket

Stock ideas by consumption type

Everything used to build the page

Every source used in the report

Complete source appendix

What humans spend on
versus what the AI stack
“spends” on.