U.S. third-quarter GDP growth is now believed to be heavily influenced by AI-related investment, sparking debate over its sustainability and impact on the broader economy amid concerns of growing corporate debt and concentrated spending effects.
We will get a new estimate of third-quarter U.S. GDP growth today, with consensus among analysts around a 3.2% year‑on‑year rise, a respectable pace that has helped push the S&P 500 close to record territory. But an increasingly common theme among economists and strategists is that much of the recent growth, and the risk around it, is concentrated in artificial‑intelligence driven capital spending.
According to Fortune, a note from Pantheon Macroeconomics argues that private fixed investment “is rising only due to AI-related spending.” Oliver Allen of Pantheon Macroeconomics told clients, “Capex intentions remain depressed, suggesting investment outside of AI-linked sectors remains weak,” a view that underlines concerns that the rest of the corporate sector is not contributing to the recovery in the same way.
That assessment echoes warnings from other firms. Deutsche Bank analysts wrote that “Investment in AI-related sectors is critical to GDP growth [and the] US would be close to recession this year if it weren’t for tech-related spending, as other spending has flatlined post-Covid,” and later argued that hyperscalers will spend a cumulative $4 trillion on AI data centres through 2030, “10x [the] inflation-adjusted cost of Apollo programme with no guaranteed return.” Those comments reflect a deeper unease about the scale, concentration and uncertain payback of the spending surge.
The numbers behind these concerns are large. Bank of America analysts Justin Post and Nitin Bansal estimate that AI capex from five hyperscalers, Alphabet, Meta, Microsoft, Amazon and Oracle, will total $399 billion this year and rise further in coming years. Goldman Sachs strategists told clients that “Net supply [of new debt] from AI-related issuers in the USD credit market has crossed $200 billion in 2025, more than doubling last year’s total,” and that roughly 30% of USD credit net supply this year is AI‑related. Those observations point to a record‑breaking flow of corporate borrowing to finance infrastructure spending.
Independent estimates put the contribution of AI capital spending to headline GDP growth at meaningful, if temporary, levels. Barclays calculations, cited by Investing.com, found AI‑sensitive capital outlays added roughly one percentage point to GDP growth in the first half of 2025, falling to about 0.8 percentage point once imported content is accounted for. Barclays projects that the incremental GDP contribution will peak this year and then decline, to 0.55 percentage point in 2026 and to 0.2 percentage point in 2027, suggesting a large near‑term boost that fades as hyperscaler spending growth decelerates.
Macro data for the third quarter underline the mixed picture. The delayed Commerce Department release showed the U.S. economy expanded at an annualised 4.3% rate in Q3 2025, stronger than many forecasts, with consumer spending up 3.5% and intellectual property spending, where AI investment is recorded, rising 5.4%, according to reporting by the Associated Press. Axios likewise highlighted robust personal consumption and a continued role for AI investment in driving the surprise strength, although some economists and commentators emphasised that consumer demand, not only AI capex, underpinned the acceleration.
That combination, solid consumption alongside concentrated AI investment, creates an ambiguous policy and risk environment. Inflation measures remain elevated; the Fed’s preferred PCE gauge ran above target in recent readings, complicating the outlook for further rate cuts. At the same time, Goldman Sachs and Bank of America forecasts rest on the expectation that the hyperscalers will convert capex into large incremental revenues, BofA projects roughly $1 trillion of additional revenue over five years, with historically observed payback ratios implying sizeable follow‑on returns. The companies themselves insist the investment is justified: Alphabet, for example, publicly raised its 2025 capex guidance and told investors it was shifting more spending into cloud and AI infrastructure, a company position reported by ITPro that emphasised rising Google Cloud revenues and management confidence in long‑run returns.
Yet the financing path matters. Much of the hyperscaler build‑out appears to be debt‑funded, and while large tech firms have strong balance sheets, the scale of issuance is testing credit markets and concentrating risk. If capex growth slows or the hoped‑for revenue gains prove slower to materialise, GDP and corporate earnings could be exposed to a reversal in investment and a sharper repricing of credit conditions.
Longer‑run forecasts offer a more tempered view. Goldman Sachs Research projects U.S. potential GDP growth averaging about 2.1% in 2025–29, with an acceleration into the early 2030s as AI boosts productivity. That suggests AI could lift supply potential over time, but the magnitude and timing of such gains are uncertain and will depend on diffusion of productivity improvements beyond a handful of large firms.
For now, the U.S. economy’s near‑term strength looks to be a story of two forces: broad consumer demand that has surprised on the upside and a concentrated, debt‑fuelled wave of AI capital investment that has materially boosted headline GDP but whose sustainability is debated. Policymakers and investors are left weighing whether the boost from AI capex will be converted into durable productivity and revenue gains across the economy, or whether growth has been temporarily propped up by an expensive, highly concentrated build‑out with an uncertain payoff.
- https://fortune.com/2025/12/23/us-gdp-alive-by-ai-capex/ – Please view link – unable to able to access data
- https://apnews.com/article/c660fb571421c48d2e91fa18bf4633d7 – In the third quarter of 2025, the U.S. economy expanded at an annual rate of 4.3%, surpassing forecasts of 3%. This growth was primarily driven by resilient consumer spending, which rose by 3.5% annually, despite persistent inflation and a delayed government report due to a shutdown. However, concerns persist about the sustainability of this growth, with analysts warning that inflation and economic fatigue among lower-income households could restrain future expansion. The economic landscape also reflects signs of a ‘K-shaped’ recovery, where wealthier individuals benefit from gains while lower-income Americans struggle. Inflation increased, with the Federal Reserve’s preferred PCE index at 2.8%, casting doubt on further interest rate cuts. AI-related investment also played a role, with intellectual property spending rising 5.4%. Government spending rebounded, while private business investment slightly declined. Despite challenges, exports surged by 8.8%, and the labor market showed mixed signals, with low job growth and a rising unemployment rate at 4.6%. These dynamics raise concerns about future Federal Reserve moves amid ongoing effects from tariffs and high borrowing costs.
- https://www.axios.com/2025/12/23/gdp-q3-economy-trump – In the third quarter of 2025, the U.S. economy grew at a surprising 4.3% annualized rate, the highest in two years, according to a delayed Commerce Department report. This robust growth follows 3.8% in the second quarter and a contraction of 0.6% in the first quarter. Strong consumer spending—reflected by a 3.5% rise in personal consumption expenditures—and increased investment in artificial intelligence were key drivers. Even after excluding volatile components like inventory and trade, a core growth measure still showed a 3% rise, indicating strong underlying momentum. The solid GDP figures contrast with a sluggish labor market, which had prompted the Federal Reserve to cut interest rates three times in 2025. Despite public skepticism towards the Trump administration’s economic performance, the growth surge supports its economic agenda heading into the final quarter of the year.
- https://www.axios.com/2025/12/23/gdp-report-trump-us-economy – In the third quarter of 2025, the U.S. economy experienced robust growth, with GDP expanding at an impressive 4.3% annualized rate—surpassing analysts’ expectations. This surge was largely driven by strong consumer spending, which rose at a 3.5% rate, more than double the first half’s average of 1.6%. Despite concerns about slower job growth and higher tariffs, the economy demonstrated remarkable resilience. Economists noted that growth was not primarily fueled by AI-related investments but rather traditional consumer demand. Inflation also picked up, with the Federal Reserve’s preferred gauge, core personal consumption expenditures, rising 2.9%, the highest since late 2024. President Trump attributed the economic strength to his trade policies, while experts like Pantheon Macro’s Oliver Allen highlighted the combined influence of consumer confidence and AI capital expenditures as key growth drivers. Even if future revisions lower the GDP figure slightly, the underlying economic momentum remains strong.
- https://www.goldmansachs.com/insights/articles/what-is-the-us-economys-potential-growth-rate – Goldman Sachs Research forecasts that the U.S. economy’s potential GDP growth will average about 2.1% in 2025-2029, with acceleration in the early 2030s as AI boosts growth further. The economists estimate that labor productivity has increased more quickly this decade, with labor productivity (outside the farm sector) growing 2% on average in the last five years, compared to about 1.5% pre-pandemic. Technology and related sectors like scientific research, engineering, and consulting have made significantly larger contributions to productivity growth than other sectors in the last five years. The tech industry’s increasing productivity is probably at least partially related to AI. Goldman Sachs Research forecasts that labor force growth’s contribution to potential GDP will average about 0.3 percentage point over the next few years, which is lower than in recent decades.
- https://www.investing.com/news/economy/what-is-the-effect-of-ai-capital-expenditures-on-the-us-gdp-growth-trajectory-4292434 – Capital expenditures on artificial intelligence by major U.S. technology firms added roughly 1 percentage point to GDP growth in the first half of 2025, according to Barclays calculations using BEA estimates. Spending was concentrated in computer equipment, software, and data centers, with the largest hyperscalers including Amazon, Microsoft, Google, Meta, and Nvidia driving the acceleration. The contribution is slightly smaller when accounting for imported content, falling to about 0.8 percentage point. Software and computer equipment were the primary drivers, while data center spending, which has drawn extensive media attention, peaked in early 2023 and has moderated since. Combined, these AI-sensitive categories totaled $1.04 billion saar in Q2 2025, representing roughly 25% of overall nonresidential fixed investment. Despite the headline numbers, Barclays notes that hyperscaler spending is a modest share of total U.S. business fixed investment (BFI), which exceeded $4 trillion in Q2 2025. Aggregate BFI rose 8.1% saar in H1 2025, with AI-sensitive investments explaining nearly all of the increase. The cumulative inflation-adjusted rise in Q1 and Q2 2025 was about $145 billion, or $160 billion in current dollars, enough to lift real GDP growth by roughly 1.0 percentage point. Capital outlays by the five largest hyperscalers are projected to grow from $370 billion in 2025 to nearly $510 billion by 2027, a 30% increase. However, this represents a deceleration from the rapid growth seen from 2023 to 2025, when annualized growth rates reached 60-70%. As a result, Barclays projects that the GDP contribution from AI-sensitive investments will peak this year at 1.0 percentage point, decline to 0.55 percentage point in 2026, and fall further to 0.2 percentage point in 2027. The potential for AI capital expenditures to sustain long-term GDP growth or productivity gains is limited.
- https://www.itpro.com/business/business-strategy/google-alphabet-to-spend-usd10bn-more-on-cloud-kit-taking-total-to-usd85bn – Alphabet, the parent company of Google, announced a $10 billion increase in capital expenditure (CapEx) for 2025, raising its total planned investment to $85 billion. This substantial boost is driven by soaring demand for cloud infrastructure amid the AI boom. The announcement came alongside strong quarterly earnings, with Alphabet reporting a 14% rise in revenue to $96.4 billion. Google Cloud led with a 32% annual growth, generating $13.6 billion in revenue and increasing profits from $1.2 billion to $2.8 billion. CEO Sundar Pichai highlighted strong performance across Search, YouTube, and cloud services, with Google Cloud’s annual revenue run-rate surpassing $50 billion. CFO Anat Ashkenazi noted that $22.4 billion was spent in Q2 alone, primarily on technical infrastructure such as servers and data centers. She projected increased CapEx through 2026 due to persistent high demand. Alphabet’s enhanced spending aligns with aggressive infrastructure investments from peers like Amazon ($100bn), Meta ($72bn), and Microsoft ($80bn), raising concerns about the high cost of AI relative to usage. Despite a time lag on returns, Pichai expressed confidence in achieving strong ROI, citing customer satisfaction, low churn, and growing AI-related value. Additionally, Google Search posted $54.1 billion in revenue, aided by AI Overviews used in over two billion monthly queries.
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The draft above was created using the information available at the time the story first
emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed
below. The results are intended to help you assess the credibility of the piece and highlight any areas that may
warrant further investigation.
Freshness check
Score:
9
Notes:
The narrative is recent, published on December 23, 2025. While similar themes have been discussed in earlier articles, such as those from September and October 2025, this specific report provides updated figures and analysis, indicating a high freshness score. ([fortune.com](https://fortune.com/2025/12/23/us-gdp-alive-by-ai-capex/?utm_source=openai))
Quotes check
Score:
8
Notes:
The quotes from Deutsche Bank analysts Adrian Cox and Stefan Abrudan are unique to this report, with no exact matches found in earlier publications. This suggests originality, though similar sentiments have been expressed in previous articles. ([fortune.com](https://fortune.com/2025/12/23/us-gdp-alive-by-ai-capex/?utm_source=openai))
Source reliability
Score:
10
Notes:
The narrative originates from Fortune, a reputable and well-established publication, enhancing its credibility. ([fortune.com](https://fortune.com/2025/12/23/us-gdp-alive-by-ai-capex/?utm_source=openai))
Plausability check
Score:
9
Notes:
The claims about AI-related capital expenditure significantly contributing to U.S. GDP growth are consistent with recent analyses from other reputable sources, such as Goldman Sachs and Barclays. The figures and projections align with current economic discussions, supporting the plausibility of the narrative. ([fortune.com](https://fortune.com/2025/09/17/how-much-gdp-artificial-intelligence-goldman-sachs-160-billion/?utm_source=openai))
Overall assessment
Verdict (FAIL, OPEN, PASS): PASS
Confidence (LOW, MEDIUM, HIGH): HIGH
Summary:
The narrative is recent and provides updated insights into AI-related capital expenditure’s impact on U.S. GDP growth. The quotes are original, and the source is reputable. The claims are plausible and supported by recent analyses from other reputable sources. No significant issues were identified, leading to a high confidence in the assessment.