BIS: AI Boom Blurs Economic Signals, Rising Risk of Monetary Policy Misjudgment
Claire Weston
The Bank for International Settlements warns that the AI investment boom is distorting the data central banks rely on, raising the risk of monetary-policy "miscalibration" — rates set too high or too low on a misread economy.
How exactly is AI distorting economic data?
AI's impact is now large enough to shape the global economy in real time: U.S. spending on data centers and IT manufacturing facilities has reached 0.8% of GDP, and the wealth effect from rising stock prices is boosting consumer spending.
This means → some of today's GDP growth is being "inflated" by an AI investment surge, not by underlying economic strength.
AI could also push prices *down* — if productivity (getting more output from the same workers and machines) genuinely improves, or if fear of AI-driven job losses dampens consumption and weakens workers' bargaining power.
Why are central banks especially prone to misjudging this?
The core problem: inflation effects and productivity effects run on different timelines. Forces pushing prices up — the investment boom, the wealth effect — are already at work. Forces that could push prices down — productivity gains — are "uncertain and hard to measure," and may take longer to appear.
In plain terms = the price-rise signal arrives first; the price-fall signal lags behind. Central banks are looking at a skewed picture.
This reflects a deeper risk: if a central bank overestimates AI's productivity payoff, or underestimates the real rise in demand, it may keep rates too low — and fail to contain inflation.
What is the Fed dealing with right now?
Fed Chair Kevin Warsh argues the U.S. is on the cusp of an AI-driven productivity renaissance, which would give the Fed room to cut rates without stoking inflation.
But the pushback is clear: some Fed officials warn that data-center investment and demand for AI-related products are pushing up near-term prices.
Key context: U.S. inflation already runs at more than twice the Fed's preferred PCE target. Warsh faces mounting pressure to prove the central bank is committed to restoring price stability.
How is the ECB's situation different?
ECB Chief Economist Philip Lane points to three unknowns: whether AI will replace workers or raise their productivity; whether energy supply can keep up with surging power demand; and whether AI activity will remain concentrated in the U.S. and China.
This means → Europe faces an extra layer of uncertainty — it must judge not only AI's economic effects, but how much of those effects will land on European soil.
Lane's conclusion: assessing AI's overall impact on inflation will be a "major challenge" for central banks in the years ahead.
Content is for reference only, not financial advice.