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Macro Check: The Mark AI Leaves in Official Statistics

This board answers three things: how concentrated the AI pull is in official US macro data and which series is the true footprint of AI capex; where the three direct marks stand, building data centers, buying grid equipment and importing servers; and what the other end of the supply chain, Korean exports and Taiwan’s PMI, is saying.

Read from this board: The AI pull is highly concentrated: computer and electronics orders are up about 15% year on year while other durable goods are up only 6%; business equipment investment up more than 30% is the true macro footprint of AI capex. The direct marks are all at records: data-center construction at an annualized $85B (up 73% year on year), grid-equipment backlog at $56B, US server imports at $41B in a month; Korean semiconductor exports are up 260.3% and Taiwan’s PMI new orders minus inventories stands at 2.2.

334 new orders, YoY

15.4%

2026-06|computer and electronics, 3-month smoothed

Other durables, YoY

6.2%

2026-06|excluding 334, 3-month smoothed

Equipment investment

$798B

2026Q2|BEA information processing, annualized

Data center construction

$85B

Aug 2026|Census C30, annual rate

US server imports

$41B

Aug 2026|HS 8471, single month

Question 1Where it concentrates, and the true footprint

1Concentration: computer and electronics versus other durables

Orange is 334, computer and electronic products, where AI-related orders land; blue is all durable goods excluding 334. New orders, year on year, three-month smoothed. In June 2026 the raw monthly figures were about 17% against 7%. In the past the two lines pulled apart mostly because the blue line collapsed in a recession (2009, 2020); this time the orange line is surging on its own: the AI pull is concentrated and the traditional economy is mild.

Concentration: Computers and Electronics vs the Rest of Durables (New Orders YoY, 3-Month Average)#

How to read this chart

Orange is NAICS 334, computers and electronics, where AI lands; blue is all other durables. Three-month smoothed. Past wide gaps mostly came from the blue line collapsing in recessions (2009, 2020); this time the orange line is surging on its own.

Source: US Census Bureau M3 factory orders via FRED; FinSight compilation · Updated 2026-11-03

2The US-factory view: nominal orders and full capacity

Left: nominal 334 new orders at $31.1B a month, a new cycle high but still below the $41.2B dot-com peak of June 2000 (dashed line), the measure of 26 years of offshoring plus hardware deflation; this is the US-factory view, not the whole of AI demand. Right: unfilled orders at a record $157.4B, nearly 30% above the 2019 average, orders received faster than they can be worked off; the semiconductor and electronic components production index is nearly 70% above 2019, so domestic capacity is running flat out too.

Nominal Orders vs 2000: NAICS 334 New Orders ($B/Month, Seasonally Adjusted)#

How to read this chart

This is the US-factory view, not the whole of AI demand.

Source: US Census Bureau M3 factory orders via FRED; FinSight compilation · Updated 2026-11-03

Signs Capacity Is Maxed Out: NAICS 334 Unfilled Orders and Semiconductor Industrial Production#

How to read this chart

Left axis: unfilled orders, $157.4B in June 2026, 28% above the 2019 average. Right axis: the semiconductor and electronic components production index, 69% above 2019.

Source: US Census Bureau M3 and Federal Reserve G.17 via FRED; FinSight compilation · Updated 2026-11-03

3The money view: equipment investment is the true footprint of AI capex, and the big four account for most of it

Left: BEA information-processing equipment investment ran at an annualized $798B in the second quarter of 2026, up about 31% year on year; it includes imported equipment, so it is more sensitive than factory orders, and it is the direct footprint of AI capex in the GDP accounts. Software investment was $815B, up about 9%. Right: the four hyperscalers’ all-in investment (CapEx + new leases), annualized, placed on the same chart: $726B against the national $798B, almost the same size. The two are not the same scope (the four include overseas spending and leases, BEA counts only US equipment), so this is not a share but a cross-check: the steep line in the macro accounts is mainly these four companies.

Follow the Dollars: BEA Information Processing Equipment vs Software Investment (Nominal SAAR, $B)#

How to read this chart

Equipment investment includes imports, so it is more sensitive than factory orders. Software investment is $815B, up 9.2%. The slope of the equipment curve since 2023 is this CapEx cycle itself.

Source: US Bureau of Economic Analysis via FRED; FinSight compilation · Updated 2026-11-03

Macro Cross-Check: four hyperscalers All-In Investment vs All US Information Processing Investment (BEA, $B Annualized)#

How to read this chart

Red: four hyperscalers all-in investment times four, annualized. Orange: US information processing equipment investment (nominal, seasonally adjusted annual rate, including imports). Blue: US software investment.

Source: Federal Reserve (FRED) and public statistics; FinSight compilation · Updated 2026-10-30

Question 2The direct marks: building, equipping, importing

4Building data centers and buying grid equipment: two free monthly official series

Left: private data-center construction spending, latest Aug 2026 at an annualized $85B, up 73% year on year, and above traditional offices (grey) since late 2025. It is the earliest official read on physical data-center investment, ahead of power draw and equipment delivery. Right: unfilled orders for electrical equipment (NAICS 335, transformers, switchgear and the like) at $56B, far above the 2019 average; orders that cannot be worked off are the grid-equipment bottleneck. The blue line is monthly new orders.

Data Center Construction Spending (Census C30, $B SAAR)#

How to read this chart

Private data-center construction spending at a seasonally adjusted annual rate; the grey line is the office category minus data centers, i.e. traditional offices. It is the free, monthly, earliest official read on physical data-center investment, published with about a two-month lag.

Source: US Census Bureau C30 construction spending; FinSight compilation · Updated 2026-11-03

Electrical Equipment Unfilled and New Orders (Census M3, NAICS 335, SA)#

How to read this chart

Electrical equipment, appliances and components (NAICS 335) include transformers, switchgear and other grid equipment. Unfilled orders are a stock, and a rising pile means orders outrun delivery; new orders are the monthly flow. The dashed line is the 2019 average backlog.

Source: US Census Bureau M3 manufacturers’ orders; FinSight compilation · Updated 2026-11-03

5Importing servers: US HS 8471 imports

Most servers are assembled overseas, so the part US factory orders miss shows up at customs. HS 8471 imports reached $41B in the latest month, up 75% year on year; Mexico assembles the GB racks and Taiwan ships boards and complete systems, and the two together are most of the total. The series moves with BEA equipment investment and is the direct evidence for the supply chain sitting abroad.

US Imports of Automatic Data Processing Machines (HS 8471, US$B per month)#

How to read this chart

HS 8471 is the tariff line that holds servers and computer systems. Mexico is where GB racks are assembled and Taiwan ships boards and complete systems, so the two lines make up most of the total. Data lag about five to six weeks.

Source: US Census Bureau international trade statistics; FinSight compilation · Updated 2026-11-03

6The state view: data-center states show the construction, not a stronger state economy

The 50 states plus DC split into two groups: states where Epoch-tracked large AI sites reach at least 500MW of peak IT power, online plus under construction, count as data-center states (Texas, Wisconsin, Indiana, Ohio, Tennessee, Louisiana, New Mexico and others), the rest are other states. The construction shows: construction employment is up 2.4% in data-center states against 1.5% elsewhere (Sep 2026). The state economy does not: real GDP 1.6% against 2.5% (2Q26) and nonfarm payrolls 0.5% against 0.6% (Sep 2026) are no better. The reasons: data centers employ few people, construction is only a few percent of state GDP, and the output once running is booked where the cloud provider is headquartered; Texas and Ohio in this group also carry oil, gas and manufacturing drags, while the other group holds New York, California and Florida. So the claim that data-center states have unusually strong economies holds, in official data, only for the construction slice.

States with AI Data Centers vs the Rest: Construction Employment Growth#

How to read this chart

State construction employment (seasonally adjusted, monthly) summed within each group, then year on year, same grouping as the GDP chart. Data-center sites land directly here, making it the earliest state-level series where the investment shows. Delaware, DC and Hawaii publish no seasonally adjusted construction series and are left out of both groups.

Source: US Bureau of Economic Analysis and Bureau of Labor Statistics via FRED, Epoch AI (CC BY 4.0) data-center list; FinSight compilation · Updated 2026-11-03

States with AI Data Centers vs the Rest: Real GDP Growth#

How to read this chart

State real GDP (seasonally adjusted annual rate) summed within each group, then year on year. States with AI data centers built or under construction are those where Epoch-tracked large AI sites reach at least 500MW of peak IT power, online plus under construction: TX, WI, IN, OH, NM, TN, IA, LA, MS, VA, NE, MI, GA, AZ, OK, AL. The rest are the other 35 states and DC. State GDP is published one quarter later than the national figure.

Source: US Bureau of Economic Analysis and Bureau of Labor Statistics via FRED, Epoch AI (CC BY 4.0) data-center list; FinSight compilation · Updated 2026-11-03

States with AI Data Centers vs the Rest: Nonfarm Payroll Growth#

How to read this chart

State nonfarm payrolls (seasonally adjusted, monthly) summed within each group, then year on year, same grouping as the GDP chart. Employment arrives two months ahead of GDP, but data centers themselves employ few people, so this line reflects construction and the surrounding economy.

Source: US Bureau of Economic Analysis and Bureau of Labor Statistics via FRED, Epoch AI (CC BY 4.0) data-center list; FinSight compilation · Updated 2026-11-03

7Latest-quarter GDP growth ranked by state

Orange marks states with AI data centers built or under construction. The orange bars sit in the middle; the leaders are there for other reasons, New York on finance, Idaho on in-migration, California on the output of tech headquarters. Single quarters carry oil, gas and farm noise, so read the distribution rather than any one state.

Real GDP Growth by State (2Q26): orange = AI data centers built or under construction#

How to read this chart

Latest-quarter real GDP growth by state against the same quarter a year earlier, sorted high to low. Orange states have AI data centers built or under construction (500MW or more, online plus under construction), blue are the rest. Single quarters carry state-specific noise from oil, gas and farming, so read the two distributions rather than any one state.

Source: US Bureau of Economic Analysis via FRED, Epoch AI (CC BY 4.0); FinSight compilation · Updated 2026-11-03

Question 3Official numbers from the other end of the supply chain

8Korean semiconductor exports: the memory end

The orange line is the year-on-year change in semiconductor exports from the Korea Customs Service monthly report, latest 260.3% (Sep 2026), positive for well over a year with a record single month, carrying both the price rises and the volume of HBM and server memory. The blue line extends the series back to 2014 with UN Comtrade exports under HS 8541 plus 8542, a narrower definition about six months behind, latest 42.5% (Dec 2025); only on that length does it show this wave running at more than three times the 2017 to 2018 memory supercycle. It is the cleanest official number at the other end of the supply chain, available without waiting for company earnings.

Korea Semiconductor Exports, Monthly YoY: Customs Report and UN Comtrade#

How to read this chart

The orange line is the year-on-year change of “semiconductors” in the Customs Service’s monthly final report, an MTI item with broader coverage and the freshest data; the blue line is the year-on-year change computed from UN Comtrade exports to the world under HS 8541 (discrete devices) plus 8542 (integrated circuits), a narrower definition that runs about six months behind but reaches back to 2014. Where the two overlap they move together with small differences, which is the definition gap, not an error.

Source: Korea Customs Service public statistics and UN Comtrade; FinSight compilation · Updated 2026-11-03

9Taiwan PMI: the direction of the inventory cycle

Orange is manufacturing PMI new orders (SA) minus the makers’ own inventories, latest 2.2 (Sep 2026); blue is new orders minus customer inventories, latest 12.9, where the customers’ stock is the real downstream level, and blue turning negative first usually means customers have started destocking. A widening positive gap means demand runs ahead of stocking; a turn negative means inventories are catching up. Vertical lines are the past buy and sell-1 dates under this rule: buys in 2013, 2016, 2019 and 2023, sell-1 in 2015, 2018, 2021 and 2024; the April 2026 dip below zero has since reversed and is listed as unconfirmed. This chart tracks the cycle position, not the AI trend.

Taiwan Manufacturing PMI: New Orders Minus Inventories and Minus Customer Inventories, with Past Cycle Signals#

How to read this chart

Both lines gauge the direction of the inventory cycle. Orange is new orders (SA) minus the makers’ own inventories, which drives the buy and sell signals; blue is new orders minus customer inventories, where the customers’ stock is the real downstream level, and blue turning negative first usually means customers have started destocking. A widening positive gap means demand runs ahead of stocking; a turn negative means inventories are catching up. Vertical lines mark past buy and sell-1 dates; the rightmost is the April 2026 turn negative, not yet confirmed.

Source: CIER / NDC PMI public data; FinSight compilation · Updated 2026-11-03