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The BEA’s advance estimate put third-quarter 2026 U.S. GDP growth at a 3.4% annual rate, with consumers contributing most. Information processing equipment and software together added 1.09 percentage points, while imports subtracted 2.64 points. The figures do not isolate AI spending, and the estimate is subject to revision.
The U.S. economy grew at a 3.4% annual rate in the third quarter of 2026, according to the Bureau of Economic Analysis’s advance estimate published October 29. Consumer spending contributed most, while information processing equipment and software added a combined 1.09 percentage points to growth—figures that show a significant role for technology investment but do not identify how much was specifically tied to artificial intelligence.
The BEA estimated that real gross domestic product increased at a 3.4% annual pace from July through September, up from 2.2% in the second quarter. The 3.4% figure annualizes the quarter’s pace; the actual increase during the quarter was 0.8%. Forecasters surveyed by FactSet had expected 3%, the Associated Press reported.
Consumer spending added 2.52 percentage points, the largest contribution. Fixed investment added 1.66 points, including 1.16 points from equipment and 0.47 from intellectual property products such as software and research. Within those figures, information processing equipment contributed 0.86 points and software contributed 0.23 points. The source’s calculation puts the combined contribution at about 32% of the 3.4% growth rate.
Other components moved in opposite directions. A buildup in inventories added 1.61 points, and government spending added 0.90 points. Exports subtracted 0.68 points, while imports subtracted 2.64 points, reflecting that imported goods are not counted as U.S. production. These component figures are rounded and may not add exactly to the headline growth rate.
U.S. Economy · Third Quarter 2026
Computers, Software, and AI: A Big Share of Last Quarter’s U.S. Growth
The Bureau of Economic Analysis’ advance estimate puts growth at a 3.4% annual rate. Computers and software made a sizable contribution—but the data do not isolate AI spending.
Advance estimate published October 29, 2026 · Figures subject to revision
At a glance Consumers contributed most to growth. Information processing equipment and software added 1.09 percentage points combined, while imports subtracted 2.64 points. These broad categories are not an AI spending measure, and this first estimate may change.
What moved the growth rate?
Contributions are measured in percentage points. Positive bars add to growth; negative bars subtract. Bar lengths use a common scale.
Fixed investment included +1.16 points from equipment and +0.47 points from intellectual property products such as software and research. Rounded components may not sum exactly to the 3.4% headline.
Technology investment, with limits
The figures place computing equipment and software among growth contributors. They do not tell us which purchases were for AI.
Not AI-only
Information processing equipment includes more than AI hardware. Software spending covers activity beyond AI products.
Imports offset demand
GDP counts production inside the U.S. Imported products are subtracted from the spending total because they were produced abroad.
Net AI effect unclear
The source estimates imported computer equipment reduced growth by about 1.1 points, against a 0.72-point contribution from business computer purchases. This is not an official BEA AI net-effect measure.
Related signals in the economy
These indicators add context, but they do not establish that AI investment caused a particular construction or employment outcome.
$85B annual rate
U.S. private data center construction reached this rate in August, up 73% from a year earlier, according to the Census Bureau.
Down 20%
Factory construction fell over the same year-over-year period. The comparison describes construction activity, not AI’s direct GDP contribution.
29,000 jobs added
Employers added 29,000 jobs, versus an average of 45,000 per month over the preceding year. This is a separate labor-market measure.
How the estimate is built
The headline rate and component contributions have different roles in the national accounts.
Quarterly activity
GDP increased an estimated 0.8% from July through September.
Annualized pace
The 0.8% quarterly increase is expressed as a 3.4% annual rate.
Component effects
Percentage-point contributions show how categories added to or subtracted from growth.
Revision cycle
This advance estimate uses some incomplete data and assumptions; later estimates may revise it.
Advance estimate: The BEA’s first estimate was published October 29. The second estimate is scheduled for November 25, 2026, incorporating additional data that may change the growth rate and its component contributions.
What the figures cannot show
GDP tables record broad economic categories, not the purpose of each purchase or the full value created at home.
“Forecasters had expected growth of 3 percent.” FactSet survey, cited by the Associated Press
32% is a calculation
The source calculates equipment and software at about 32% of the 3.4% growth rate. It is not an official BEA measure of AI’s share.
Domestic value is unclear
The data do not show precisely how much computing equipment was imported or how much domestic value was added.
Future effects are unknown
One quarter cannot establish whether investment will continue or how a slowdown might affect workers, suppliers, lenders, contractors, or local economies.
Key questions
A quick guide to what the advance estimate says—and what it does not.
How fast did the economy grow?
Real GDP grew at a 3.4% annual rate. The estimated increase within the quarter itself was 0.8%.
How much did computers and software add?
Information processing equipment contributed 0.86 points and software 0.23 points, for 1.09 points combined.
Did AI account for 32% of growth?
No official AI-only figure is reported. The source’s roughly 32% calculation covers broad equipment and software categories.
Why did imports subtract from GDP?
GDP measures production in the United States, so imports are subtracted to avoid counting production that occurred abroad. Imports subtracted 2.64 points.
What to watch next
The second estimate may sharpen the picture while leaving AI-specific spending difficult to separate.
Second GDP estimate
Watch for revisions to the 3.4% rate and contributions from equipment, software, imports, and other categories.
Construction data
Census Bureau reports can show whether data center and other construction activity continues.
Technology investment
Published categories may still group AI purchases with other computing and software investment.
The figures place equipment and software among the major contributors to quarterly growth, at a time when companies are building data centers and buying computing capacity. But the BEA’s categories are broader than AI: information processing equipment is not an AI-only measure, and software spending includes activity beyond AI products. The national accounts show where investment was recorded, not the purpose of each purchase.
Imports complicate the picture. The source estimates that imported computer equipment reduced growth by about 1.1 percentage points, more than the 0.72-point contribution it attributes to business purchases of computers. That is an analysis of BEA data in the source material, rather than a separately reported BEA estimate of AI’s net effect. More broadly, the headline GDP figure combines household demand, investment, inventory changes, trade and government spending; it cannot be read as a measure of the AI sector alone.
Separate indicators cited in the source suggest investment is concentrated in data center construction. U.S. private data center construction reached an $85 billion annual rate in August, up 73% from a year earlier, according to the Census Bureau. Factory construction fell 20% over the same period. These figures describe construction activity, not the direct contribution of AI to GDP or employment.
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How the GDP Estimate Is Built
The BEA reports quarterly GDP growth at an annual rate: the 3.4% headline represents what growth would be if the third-quarter pace continued for a full year. Within the three-month quarter, the estimated increase was 0.8%. Contributions are expressed in percentage points to show how different categories add to or subtract from the total.
This is the advance estimate, the first of three BEA estimates. It uses some incomplete data and assumptions where September figures were not yet available. The second estimate is scheduled for November 25, 2026, and may revise the reported growth rate and its component contributions as more information arrives.
The source also cites September employment data from the Bureau of Labor Statistics: U.S. employers added 29,000 jobs that month, compared with an average of 45,000 per month over the preceding year. That is a separate measure of the labor market, not evidence that technology investment caused a particular employment outcome.
“Forecasters had expected growth of 3 percent.”
— FactSet survey of forecasters, cited by the Associated Press
What the Figures Cannot Show
The GDP tables do not separately quantify AI investment. Computers, peripherals and software cover broader economic activity, so attributing their full contributions to AI would go beyond the data. The source’s estimate that these lines supplied about 32% of growth is its calculation from BEA tables, not an official BEA measure of AI’s share.
The reported figures are preliminary and may change with later estimates. The source also provides an estimate of the growth drag from imported computer equipment, but the BEA’s headline import contribution covers a wider range of goods and services. The precise net effect of AI-related investment on U.S. growth, including how much equipment was imported and how much domestic value was added, remains unclear from these figures.
It is also too early to tell from one quarter whether technology investment will continue at the same pace or how a slowdown would affect particular workers, contractors, suppliers, lenders or local economies. The cited construction and employment data provide related indicators, but do not establish a causal link to AI spending.
Next GDP Estimate in November
The BEA is scheduled to publish its second estimate of third-quarter GDP on November 25, 2026. That update will incorporate additional data and could revise both the 3.4% growth rate and the contributions from equipment, software, imports and other categories. Later revisions may provide a fuller picture as more source data become available.
Readers tracking the investment story can also watch subsequent BEA GDP releases and Census Bureau construction data. Those reports can show whether spending on computing equipment and data centers continues, but the published categories may still not separate AI-related purchases from other technology investment.
Key Questions
How fast did the U.S. economy grow in the third quarter of 2026?
The BEA’s advance estimate put real GDP growth at a 3.4% annual rate from July through September. The estimated increase within the quarter itself was 0.8%.
How much did computers and software contribute?
Information processing equipment contributed 0.86 percentage points and software contributed 0.23 points, for a combined 1.09 percentage points, based on the figures in the source material. These categories do not measure AI spending alone.
Did AI account for 32% of GDP growth?
No such official AI-only figure is reported. The source calculates that equipment and software together represented about 32% of the 3.4% growth rate, but those categories include non-AI activity.
Why did imports subtract from GDP?
GDP measures production within the United States, so imported products are subtracted from the spending total to avoid counting production that occurred abroad. Imports subtracted 2.64 percentage points in the BEA’s third-quarter estimate.
When will the GDP estimate be updated?
The BEA’s second estimate is scheduled for November 25, 2026. It may revise the initial growth rate and its component figures as more data become available.
Source: Thorsten Meyer AI
