Digital Economy Dispatch #294 -- Why Shouting "Must Act Now" is Not an AI Strategy

Three signals arrived within the last few days that together they tell a specific story about AI's economic impact. On Monday, more than 200 leading economists, including 16 Nobel laureates, released a public statement at wemustactnow.ai urging action on AI's economic transformation. On Tuesday, IBM lost roughly a quarter of its market value in a single session, its worst day on record since at least 1968, on evidence that AI is already reshaping enterprise IT in ways nobody had forecast. And in the background, The Economist's June piece "Meet the world's top AI-pilled economists" carries a chart showing that the leading economists in this field cannot agree on how transformative AI actually will be.

Taken together, these three signals tell a story. It is not the one the loudest of them thinks it is telling.

The Letter That Plays it Safe

The statement, organised by Erik Brynjolfsson (Stanford), Ajay Agrawal (Rotman, University of Toronto), Anton Korinek (University of Virginia and Anthropic) and Tom Cunningham (METR) through the Stanford Digital Economy Lab, contains just three propositions. First, that AI may become radically more powerful over the next ten years. Second that this could drive a transformation larger than the Industrial Revolution over a much shorter time frame. And third, that economists, policymakers and technology leaders must act now to understand transformative AI and to build the incentives, guardrails and institutions to steer it. That is the whole content of the statement.

Read the signatory list carefully and the reason for the hedging becomes obvious. The letter is signed by economists who, in the wider literature, disagree bitterly about how transformative AI will actually be. A statement that both ends of that intellectual spectrum can sign is, by construction, a statement saying very little. The letter was a chance to move the debate forward. It settled for asking that the debate continue.

The Disagreement is the Finding

The Economist's "Rogues' Gallery" chart, published as part of its June article on where AI economics is being done, is more informative than the letter that has followed it. The chart shows leading economists spread across the full range from "least transformative" to "most", with signatories to this week's statement sitting at both extremes: Erik Brynjolfsson (Stanford) among the most bullish, Daron Acemoglu (MIT) at the least bullish end of the scale, and Simon Johnson (MIT) close to him. That spread is not a failure of the profession. It is the actual result of the past three years of serious empirical work: the economics of AI is quite openly unresolved.

The uncomfortable conclusion is that waiting for economists to reach consensus before acting on AI policy is a serious error. The consensus is not coming. Anyone in a position to make decisions today, in a government department, a regulator, or a boardroom, needs a strategy that is robust to the disagreement rather than one that depends on the disagreement being settled first.

Meanwhile, Back on Earth

While the theorists argue, the transformation is already visible in the numbers. Arvind Krishna, IBM's chief executive, attributed the company's Q2 shortfall to clients redirecting their capital spending in the final weeks of June away from IBM's software and mainframe business and towards AI-related infrastructure: servers, storage and memory. Peers including ServiceNow, Salesforce and Accenture fell in sympathy. Full results are due on 22^nd July, but the pattern is already clear enough for the market to have re-priced.

This is not the "AI will replace jobs" narrative the letter points at. It is a different narrative, and arguably a more immediate one: AI is restructuring how enterprises allocate capital, where value accrues within the technology supply chain, and which providers get squeezed. It is happening now, in observable ways, and it does not require anyone to settle the “transformativeness” question before it accelerates further.

What "Acting Now" Should Mean

If the letter is right that this moment demands action but wrong about what to say, the useful question is what a substantive response looks like. My argument in Making AI Work for Britain is that the UK does not need to resolve the macro debate to act well. Four moves hold regardless of whether AI's eventual impact turns out to be modest or transformative.

Consolidate demand. The Government Digital Service model showed how public-sector buying can be coordinated so that departments are not each picked off individually by vendors. That discipline matters more, not less, when supply is genuinely constrained. The IBM story is evidence that AI-related infrastructure is now such a constraint, and coordinated buying is how a mid-sized economy retains any leverage over the resulting market.

Diversify supply and design for exit. If enterprises are already reshuffling providers under AI pressure, silent lock-in becomes an active risk, not a theoretical one. Exit-by-design should be treated as a procurement discipline, embedded in contracts and architectures from the start, rather than as an aspiration invoked when things go wrong.

Build the smart-buyer capability. Open uncertainty about outcomes is precisely the reason to invest in institutional capacity to procure, evaluate and govern AI. The buyers who cannot do this will be the ones for whom the economists' disagreement ends up being most expensive.

Escape pilot purgatory. While the debate goes on, real projects stall at proof-of-concept because no organisation has built the delivery pipeline that would move them into production. Every month of delay compounds, both in unrealised benefit and in accumulated technical debt.

Where the Letter Leaves Ss

The signatories are right that this is a moment for action. Such an open letter can be useful to galvanise action. Where they fall short is in supplying the content. UK AI Watch, the RAG-rated tracker I established alongside the book, records the current UK baseline against the 25 recommendations: 0 green, 12 amber, 13 red. That is one attempt to say what "acting now" actually means in specifics rather than in sentiment. Others are welcome to disagree with the recommendations. What is not helpful is a statement that lets everyone feel virtuous while committing to nothing.