
What happened
The Bank of England's November Monetary Policy Report said UK firms estimate AI has raised productivity by only ~0.5% over three years — about 0.1-0.2pp of annual growth — and that AI-heavy sectors have not exceeded pre-pandemic productivity trends.
Why it matters
The productivity payoff firms report is small so far, so the case that AI is lifting output per worker rests on a thin margin rather than a visible break from past trends.
WHO IT HITSUK employers weighing AI adoption now face evidence that the payoff shows up first as slower hiring rather than as measurable output gains, a signal for HR and operations teams setting headcount plans.
Summaries like this, every morning.
The Bank of England's finding sits alongside a striking split: AI-related activity accounts for nearly a fifth of UK GDP growth since the start of 2026, yet the Bank attributes most of that to companies building and deploying AI rather than to businesses becoming more productive by using it. That distinction matters because it separates spending on AI from the efficiency gains that spending is supposed to buy. The productivity estimate of about 0.5% over three years, or 0.1-0.2pp of annual growth, is consistent with the observation that AI-heavy sectors have not exceeded their pre-pandemic productivity trends.
On the labour side, the agents' survey points to a quieter adjustment than outright cuts. Firms adopting AI are becoming less likely to hire or replace departing staff, but no more likely to actively fire workers — a pattern in which headcount shrinks through attrition rather than layoffs, though the Bank's survey does not quantify the scale.
Taken together, the report suggests the UK's AI story so far is one of investment and deployment rather than a measurable step-change in how much output each worker produces, at least on the three-year view the Bank presents.
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