Bank of England Says AI Has Added Just 0.5% to UK Productivity in Three Years

For years, the promise has been that artificial intelligence would transform the economy. Faster output, leaner firms, a productivity boom that would lift growth for everyone. This week, the Bank of England offered its own reading of the evidence so far, and it is far more modest than the hype. According to the central bank, AI has added only about 0.5 percent to UK productivity over the past three years.

The finding comes from the Bank's November 2026 Monetary Policy Report, published on 5 November. It is based on surveys of firms in the Bank's Decision Maker Panel, which were asked to estimate how much AI has changed the way they work. Their answer, on average, was a small gain: roughly 0.1 to 0.2 percentage points of extra productivity growth a year since early 2024.

The Bank was careful to add a warning of its own. It said there is so far only evidence of a modest AI-driven rise in UK productivity growth, and it cautioned against giving AI too much credit for the broader improvements Britain has seen recently.

Where the growth is actually coming from

The report draws a sharp line between two very different kinds of AI growth. On one hand, there are the companies that build and sell AI: the chip makers, the cloud providers, the firms that develop and deploy the models. On the other, there are the ordinary businesses that use AI tools in their daily work. The Bank's numbers show that the first group is doing almost all of the heavy lifting so far.

Novel AI-related activity accounted for just under a fifth of UK GDP growth since the start of 2026, according to the report. That sounds impressive until you look at where it came from. The Bank attributes most of it to upstream work, companies developing and implementing AI technology, rather than to wider gains from businesses becoming more efficient by using it. The economy is growing because AI is being built and sold, not yet because AI is making everyone else more productive.

That distinction matters for how we read the AI boom. Investment in data centres, chips and software shows up in the growth figures right away. The payoff from using the tools, in the form of faster work and lower costs across the whole economy, takes much longer to arrive. The Bank's message is that Britain is still in the building phase, and the using phase has barely started.

What firms expect next

If the past three years look modest, the next three could look very different, at least according to the firms the Bank surveyed. The same businesses that reported a 0.5 percent gain so far expect AI to add around 0.9 percentage points to annual productivity growth over the next three years. That would be roughly five times the rate seen to date, split roughly equally between faster output growth and slower employment growth.

Those expectations should be treated with care. They are forecasts, not results, and they come from firms that have spent money on AI and have every reason to believe it worked. The Bank itself notes that the figures are firms' own estimates rather than measured outcomes. Still, the direction of travel is clear. Businesses that have started using AI expect the gains to speed up as the tools improve and as more staff learn to use them well.

Jobs: hiring is slowing, firing is not rising

One of the most closely watched parts of the report concerns jobs. So far, firms report close to zero overall effect on employment from AI. That will come as a relief to workers who feared a wave of layoffs, but the detail is more mixed than the headline suggests.

The Bank's regional Agents found that firms adopting AI are becoming less likely to hire new staff or to replace workers who leave. They are not, however, materially more likely to fire people. The pattern is a quiet one: headcounts shrink through natural turnover rather than through redundancies. A job that might once have been refilled simply stays empty, with AI picking up part of the work.

The wider warning about AI spending

The Bank's sober assessment did not arrive in a vacuum. Last month, the International Monetary Fund warned that the AI spending spree could hurt investors if the promised profits fail to materialise, potentially dragging the wider economy down with it. The Bank for International Settlements issued a similar warning in June, comparing the current spending to the dotcom boom of the 1990s. The Bank's report does not say the spending is wrong. It says the returns, measured in economy-wide productivity, have not shown up yet.

For the UK, the findings land at an awkward moment. The government has made AI central to its growth plans, backing data centre construction and aiming for 6 GW of compute capacity by 2030. The hope is that AI will lift an economy that has struggled with weak productivity for years. The Bank's numbers suggest that hope is not yet backed by results. None of this means AI will fail to deliver, but the Bank has put a number on the gap between the promise and the present, and the gap is wide. Three years of AI, and the measured gain is half a percent. The next three years will show whether the firms' optimism was justified, or whether the revolution is still waiting to happen.

Frequently Asked Questions

How much has AI added to UK productivity, according to the Bank of England?

Firms surveyed by the Bank of England estimate that AI has raised their productivity by about 0.5 percent over the past three years. That works out to roughly 0.1 to 0.2 percentage points of additional annual productivity growth since early 2024.

Where has the AI-related growth come from?

Most of it has come from companies building and selling AI, such as chip makers, cloud providers and firms that develop the technology. Novel AI-related activity accounted for just under a fifth of UK GDP growth since the start of 2026, but the Bank attributes this mainly to upstream development rather than to businesses becoming more efficient by using AI.

What do firms expect AI to deliver over the next three years?

The firms surveyed expect AI to add around 0.9 percentage points to annual productivity growth over the next three years, split roughly equally between faster output growth and slower employment growth. These are forecasts from the firms themselves, not measured results, so they should be read with care.