“We don’t know the extent to which the economy will benefit from the AI buildout. Yet it seems inevitable that what is now called “AI investment” will soon be called just ‘investment.’ Even so, new opportunities for the economy introduce new challenges for policymakers. We at the Fed are monitoring the implications for inflation and the labour market.” – Kevin Warsh – Chairman Kevin Warsh, US Federal Reserve
The immediate policy problem is that a surge in AI spending can look like a conventional investment boom while behaving, in the short run, like a demand shock. Data centres, chips, electricity, specialised construction and software are all being pulled forward at once, and that means higher outlays before any broad productivity gain shows up in the accounts. The result is a gap between the speed of capital formation and the slower pace at which cheaper output, better margins or higher living standards arrive, which is why central bankers are being forced to think about AI as both a supply-side promise and a near-term source of inflation pressure1,7.
That tension sits behind the central claim that the category called ‘AI investment’ may eventually disappear into the broader, ordinary idea of investment. As the technology spreads, firms will no longer be buying AI as a special asset class so much as buying improved production capacity, better forecasting, faster workflows and more efficient distribution. In that sense, the label will change when the novelty fades and the spending is absorbed into standard capital deepening, much as electrification or cloud computing ceased to be treated as separate macroeconomic phenomena once they became embedded in routine business expenditure28,34.
From novelty to normal capital formation
The deeper macroeconomic significance is that AI investment is already large enough to affect aggregate demand. The St Louis Fed estimated that AI categories contributed 0,97 percentage points to real GDP growth in the first three quarters of 2025, and that these categories accounted for 39 percent of total GDP growth over the same period28. Separate Fed monitoring put AI-related capital expenditure at 131 billion dollars in Q4 2025 on a quarterly basis and 412 billion dollars for the year, equal to about 1,31 percent of U.S. GDP29. Those are not marginal figures. They imply that AI is no longer only a research theme or a stock-market narrative; it is part of the spending base sustaining the cycle28,29.
That scale matters because capital booms do not become disinflationary the moment they begin. In the short run, firms building out capacity bid for the same scarce inputs, which pushes up prices for advanced semiconductors, power, land, cooling, fibre and engineering labour. Fed minutes and subsequent reporting have already linked AI-related demand to upward pressure on technology goods and electricity prices, alongside broader inflation pressures from energy and supply conditions1,7. This is why the same wave of expenditure that might, over time, lower unit costs can initially make life more expensive. The transmission mechanism is straightforward: I_t rises before potential output Y_t^* fully adjusts, so measured prices can rise faster than any future gain in productive capacity1,7.
The productivity case and the inflation case
The productivity argument remains powerful, and it is the reason many economists and investors still expect AI to be disinflationary in the medium term. If AI raises output per worker, reduces error rates and automates routine tasks, then unit costs should fall and the economy’s supply frontier should shift outwards. That is the logic behind the claim that AI will eventually be treated as plain investment rather than as a separate category. Fed officials have also pointed to labour-market gains, with one governor expecting AI to have a transformative effect and, in the longer run, to boost productivity and living standards8. Other Fed research has found no clear evidence so far that industries with higher AI adoption are posting fewer jobs, suggesting that the first-order effect may be task reallocation rather than immediate mass displacement10.
The counterargument is that the timetable matters more than the theory. A technology can be supply-enhancing over several years while still being inflationary over the next several quarters. If businesses rush to secure compute, power and model capacity ahead of competitors, then the economy experiences a burst of derived demand before it experiences a broad efficiency dividend. One research note described the short-term effect as closer to a positive demand shock than a clean productivity windfall, because strong AI investment raises the price of AI-related inputs before the gains are widely diffused24. That is the core reason monetary policymakers are uneasy: they must set rates on the basis of realised inflation, not on the assumption that future efficiency will eventually arrive24,31.
Why the Fed is uneasy
The Federal Reserve’s concern is not only that AI may lift prices, but also that it may alter the path of the labour market. If firms use AI to cut costs and speed up production, demand for certain occupations may soften even as the economy grows. If they use it to expand output without hiring proportionately, productivity rises but job creation becomes less labour-intensive. Fed Governor Barr has warned that AI will affect a large share of workers and challenge both private and public sectors to manage the adjustment, even as it boosts productivity over the longer run8. That is exactly the sort of dual-mandate problem central bankers dislike: inflation may stay sticky while employment effects are uneven, making it harder to know whether tight policy is restraining excess demand or simply slowing a structural transition8,31.
The June meeting minutes and later commentary suggest that policymakers are already wrestling with this ambiguity. Some officials now see AI infrastructure demand as part of the explanation for firmer core goods inflation, while others emphasise the future productivity benefits and the possibility that AI will lower the neutral rate of interest r^* over time1,9. In practical terms, that means the Fed must decide whether today’s spending boom represents a temporary overheating episode or the first phase of a durable investment regime. If it is the former, policy should stay restrictive. If it is the latter, the economy may be able to grow faster without the same inflationary penalty, but only after the supply side catches up9,31.
Debates, objections and the policy lag
There are credible objections to the optimistic view. First, AI capex may prove concentrated in a small number of firms and sectors, limiting the transmission into broad productivity. Second, the costs of energy, land and specialist equipment may stay high long enough to absorb much of the private return, leaving consumer prices only modestly affected. Third, some of the apparent growth support could be a wealth effect from equity valuations rather than genuine efficiency gains, which would make the boom fragile if market sentiment turns22,35. On that reading, the Fed could find itself easing into an asset-price-led expansion that has not yet generated commensurate supply benefits, a combination that would be awkward for both inflation control and financial stability9,18.
There is also a methodological issue. Central banks are trying to measure an economy that is changing faster than the statistical system. The Fed and other institutions are increasing their use of real-time data, private-sector indicators and AI-enabled analysis precisely because conventional data arrive too slowly to capture these shifts16,18,25. That creates a second-order irony: the central bank may need AI to monitor the very AI boom that complicates its inflation forecast. The better the technology becomes at improving forecasting, the more pressure there is to update policy frameworks that were built for a slower-moving industrial economy25,30,32.
Why it matters for markets and policy
For markets, the most important implication is that AI is no longer just a growth story or a valuation story. It is now a macro story about the composition of demand, the persistence of inflation and the timing of rate cuts or hikes. If the spending wave remains intense, bond yields may stay elevated because investors will keep pricing firmer nominal growth and a more cautious Fed. If the productivity payoff arrives sooner, then disinflation could strengthen, real rates could drift lower and the policy debate could move towards accommodation. That is why the same set of facts can support opposite trades: AI can be read as a route to faster growth, or as a reason inflation stays above target longer than markets expect5,11,22.
For policymakers, the broader lesson is that AI is reshaping the economy in stages. First comes the investment buildout, which stresses supply chains and lifts prices. Then comes the adoption phase, which may widen output and improve labour productivity. Only later, if diffusion is broad enough, does the technology become indistinguishable from ordinary business investment. That is the path implicit in the claim that AI investment will soon just be investment. The phrase is less a forecast about labels than a forecast about maturation: once AI ceases to be a separate macro event and becomes part of the economy’s normal capital stock, the main question will no longer be whether it is special, but how quickly its gains are shared across firms, workers and consumers24,28,34.
References
1. “Semiannual Monetary Policy Report to the Congress – July 14, 2026” – https://www.federalreserve.gov/newsevents/testimony/warsh20260714a.htm
2. AI Making Life More Expensive for You? Federal Reserve Says ‘Upward Pressure’ Likely to Sustain for Now – 2026-07-11 – https://finance.yahoo.com/economy/policy/articles/ai-making-life-more-expensive-023105001.html
3. Cleveland Fed chief warns AI boom stokes inflation, … – 2026-07-01 – https://biz.chosun.com/en/en-international/2026/07/01/DTRWSFBKEBBJDMQSC57LMUYEMU/
4. The economic assumptions that broke – 2026-07-01 – https://www.axios.com/2026/07/01/economy-inflation-iran-ai
5. Federal Reserve Inflation AI Drives Rate Hike Debate – 2026-07-09 – https://en.cryptonomist.ch/2026/07/09/federal-reserve-inflation-ai/
6. Breakingviews – Kevin Warsh has a point on AI and inflation – 2026-03-04 – https://www.reuters.com/commentary/breakingviews/kevin-warsh-has-point-ai-inflation-2026-03-04/
7. The New Fed Rulebook: Kevin Warsh, AI Productivity, & Macro Strategies for Tech Leaders – 2026-06-19 – https://www.youtube.com/watch?v=EO9T_tKnGYc
8. Fed Report Cites ‘Stepped-Up’ Inflation – 2026-07-10 – https://money.usnews.com/investing/news/articles/2026-07-10/fed-report-cites-stepped-up-inflation
9. Speech by Governor Barr on artificial intelligence and the labor market – 2026-02-17 – https://www.federalreserve.gov/newsevents/speech/barr20260217a.htm
10. Artificial Intelligence and Monetary Policy: A Framework and … – 2026-04-07 – https://www.frbsf.org/research-and-insights/publications/system-research-new-york-fed/2026/04/artificial-intelligence-monetary-policy-framework-perspective-cyclical-transmission-structural-transition-financial-stability/
11. The Fed – AI Adoption and Firms’ Job-Posting Behavior – 2026-03-27 – https://www.federalreserve.gov/econres/notes/feds-notes/ai-adoption-and-firms-job-posting-behavior-20260327.html
12. Kevin Warsh’s New Playbook: AI, Productivity And A Deflation Bet – 2026-02-02 – https://www.forbes.com/sites/jonmarkman/2026/02/02/kevin-warshs-new-playbook-ai-productivity-and-a-deflation-bet/
13. What Kevin Warsh Could means for Rates, Inflation and AI – 2026-02-11 – https://www.citizensbank.com/private-banking/insights/new-fed-chair-kevin-warsh-impact-on-markets.aspx
14. Fed chairman says inflation risks are declining, predicts AI will create jobs – 2026-07-01 – https://www.nbcnews.com/business/economy/fed-chairman-warsh-inflation-ai-jobs-rcna352550
15. [PDF] Macro & Markets: How could Kevin Warsh influence the Fed? – https://corporate.nordea.com/api/research/item/103566.pdf?embedded=true
16. Warsh believes America’s $700B AI buildout will lower prices – but his colleagues warn it will fuel persistent inflation – 2026-07-10 – https://finance.yahoo.com/economy/policy/articles/warsh-believes-americas-700b-ai-151500764.html
17. Federal Reserve Task Forces Announcement – July 2026 – 2026-07-10 – https://www.linkedin.com/pulse/federal-reserve-task-forces-announcement-july-2026-070926-amjad-tocyf
18. The Fed – Monitoring AI Adoption in the US Economy – 2026-03-04 – https://www.federalreserve.gov/econres/notes/feds-notes/monitoring-ai-adoption-in-the-u-s-economy-20260403.html
19. Speech by Governor Cook on AI, the economy, and the … – https://www.federalreserve.gov/newsevents/speech/files/cook20260527a.pdf
20. Speech by Governor Waller on the economic outlook – 2026-07-13 – https://www.federalreserve.gov/newsevents/speech/waller20260713a.htm
21. Are You There, Inflation? It’s Me, Kevin Warsh – 2026-05-18 – https://www.schwab.com/learn/story/are-you-there-inflation-its-me-kevin-warsh
22. Forecasting the Economic Effects of AI – https://www.chicagofed.org/publications/working-papers/2026/2026-07
23. Is Kevin Warsh Correct About AI’s Impact On Inflation And Interest Rates? – 2026-06-07 – https://finance.yahoo.com/economy/policy/articles/kevin-warsh-correct-ai-impact-152836349.html
24. Kevin Warsh’s AI Gamble Spikes Yields – 2026-02-04 – https://www.youtube.com/watch?v=jOhUpUf8lk8
25. The Checkpoint – https://www.unicreditgroup.eu/content/dam/unicreditgroup-eu/documents/en/business/OurInvestmentInsights/DEF_ENG_MO.pdf
26. [PDF] AI and the Fed Sophia Kazinnik and Erik Brynjolfsson Working … – https://www.nber.org/system/files/working_papers/w33998/w33998.pdf
27. Kevin Warsh Pitched a Case for Fed Rate Cuts. His Future … – 2026-04-20 – https://www.wsj.com/economy/central-banking/fed-interest-rates-warsh-ai-bc92f894
28. Guiding Monetary Policy during a Productivity Boom – 2026-07-13 – https://www.stlouisfed.org/on-the-economy/2026/jul/guiding-monetary-policy-productivity-boom-evidence-1990s
29. Tracking AI’s Contribution to GDP Growth | St. Louis Fed – 2026-01-12 – https://www.stlouisfed.org/on-the-economy/2026/jan/tracking-ai-contribution-gdp-growth
30. Monitoring AI Adoption in the US Economy, Accessible Data – 2026-04-03 – https://www.federalreserve.gov/econres/notes/feds-notes/monitoring-ai-adoption-in-the-u-s-economy-accessible-20260403.htm
31. Artificial intelligence and central banks: monetary and financial … – 2025-10-09 – https://www.bis.org/speeches/sp251009.htm
32. Speech by Vice Chair Jefferson on AI and the economy – 2025-11-07 – https://www.federalreserve.gov/newsevents/speech/jefferson20251107a.htm
33. III. Artificial intelligence and the economy: implications for central … – 2024-06-25 – https://www.bis.org/publ/arpdf/ar2024e3.htm
34. Fed’s Daly on the Economic Impact of AI, Labor Markets … – 2026-06-14 – https://www.youtube.com/watch?v=vhOeSCVdO4U
35. Advances in AI will boost productivity, living standards over … – 2025-06-24 – https://www.dallasfed.org/research/economics/2025/0624
36. How AI spending is impacting the U.S. economy – 2026-03-12 – https://www.epi.org/blog/how-ai-spending-is-impacting-the-u-s-economy/
