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Random freezes, missing sound and display glitches usually trace back to one bad driver. Find and replace yours safely.Free scan · under a minuteBill Ackman argues that the Federal Reserve’s September rate increase could backfire if investment in artificial intelligence remains strong despite higher borrowing costs and companies pass those costs along. That is a hypothesis about this unusual investment cycle, not proof that higher rates generally cause inflation. The Fed said it raised rates because inflation remained elevated, while Governor Lisa Cook has described both AI-related price pressures and reasons those pressures may ease.
What Ackman says could go wrong
After the Federal Open Market Committee (FOMC) raised its benchmark rate on September 16, 2026, Ackman wrote on X that the Fed may have “just made a mistake.” In a September 27 report, Moneywise attributed this question to Ackman’s September 24 post: “Why won’t higher rates at this unique moment in history therefore lead to more inflation as interest costs are embedded in everything?” (Moneywise’s account of Ackman’s argument.)
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His proposed mechanism has two parts. First, demand for AI computing and energy could be so strong that companies continue investing in data centers and related infrastructure even as borrowing gets more expensive. Second, firms could include financing and other higher input costs in the prices they charge. If that happened while higher rates weakened activity elsewhere, Ackman worries the result could be a costly combination: more expensive AI infrastructure and less economic momentum outside it.
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What the Fed did—and why it said it did it
On September 16, 2026, the FOMC raised the target range for the federal funds rate by 0.25 percentage point, to 3.75–4.00 percent. Its statement said inflation remained elevated and linked the action to supporting a timelier return to the Fed’s 2 percent goal. It also described economic activity as expanding at a solid pace, with resilient domestic spending, strong productivity growth and robust capital investment. The statement records approval on a 12–0 vote. (Federal Reserve, FOMC statement, September 16, 2026.)
The official explanation was about inflation overall, not a claim that the increase would directly reduce AI-sector prices. Higher interest rates are intended to restrain demand across the economy; they are not a targeted tool for one industry’s prices. Whether the hike ultimately reduces inflation, adds to particular costs, or does both through different channels cannot be settled by the announcement itself.
How AI could raise prices—and why that may not last
In a September 28 speech, Federal Reserve Governor Lisa D. Cook discussed AI investment as a source of both concentrated price pressure and possible spillovers. She said prices for AI-related goods such as chips, computers and software had surged. A sharp demand shift in one sector can push it onto a steep part of its supply curve: when capacity cannot quickly expand, additional demand can produce bigger price increases.
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But the effects need not stay within the AI sector. Data centers use inputs shared with other parts of the economy, including construction labor and energy, and strong AI-related investment can put pressure on those resources. Cook also noted that wealth associated with enthusiasm for AI can support additional demand. Those channels make spillovers plausible, but the speech does not quantify their size or establish which effect dominates.
Cook’s policy warning was: “Our tools are too blunt to target narrow sectors, and addressing relative price shifts is not our role.” (Federal Reserve, Lisa D. Cook, “An Update on AI and the Economy,” September 28, 2026.) The point is not that AI cannot affect inflation. It is that rate policy acts broadly, and trying to offset a price rise confined to one sector could unnecessarily affect the rest of the economy.
How Ackman’s argument compares with the Fed’s framework
| Question | Ackman’s concern | Cook’s discussion and the Fed’s policy frame |
|---|---|---|
| Will AI investment respond to higher rates? | Demand for AI-related intelligence and energy may remain strong enough that companies keep investing despite higher financing costs, as reported by Moneywise. | Cook discusses robust AI-related investment and its price effects, but the cited speech does not measure how sensitive that investment is to rates. |
| Can financing costs raise prices broadly? | Companies may embed higher interest costs in the goods and services produced by continued investment, potentially adding to costs as rates rise. | Cook identifies broader pressures through shared inputs and demand, but the cited sources do not quantify financing-cost pass-through or its economy-wide effect. |
| What happens as supply adjusts? | Ackman’s concern focuses on costs persisting while AI investment continues; the reported argument does not establish how quickly supply will catch up. | Cook says supply-chain adjustment and efficiency gains could ease concentrated price pressure, while energy and construction constraints may transmit pressure beyond AI. |
| What can rate policy target? | The concern is that a broad rate increase may raise some costs even as it weighs on other activity. | Cook says monetary policy can address economy-wide conditions but is too blunt to target narrow sector-specific relative-price shifts precisely. |
The unresolved question is the balance among these channels: how much higher rates restrain demand, how much AI spending continues, whether borrowing costs are passed through, how binding shared inputs become, and how quickly productivity and supply respond. The statements and speeches cited here do not provide a numerical comparison that settles that balance.
What officials had said before the September decision
Before the FOMC meeting, Governor Christopher J. Waller described inflation as meaningfully above the 2 percent goal but said recent data showed signs of disinflation. He noted uncertainty about how AI, military conflicts and trade policy could affect prices and activity. Waller said he would lean toward holding the rate if incoming data continued to improve, but that an increase could be appropriate if the improvement proved fleeting. His September 3 remarks show uncertainty before the decision; they do not explain the Committee’s later vote. (Federal Reserve, Christopher J. Waller, September 3, 2026.)
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What to take from Ackman’s warning
- The rate increase and the Fed’s stated rationale are established: the target range rose to 3.75–4.00 percent because inflation remained elevated and the Committee sought a timelier return to its 2 percent goal.
- Ackman’s warning is a plausible question about this particular investment cycle, not evidence that rate increases generally fuel inflation.
- Cook’s account supports a more mixed view: AI can create concentrated price rises and spillovers through shared inputs, while supply adjustment and productivity gains could reduce pressure over time.
- The cited sources do not establish the net effect of those forces or show that the September increase has already made inflation worse.
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