Let us start with some generally accepted facts:
- The UK has been mired in low productivity growth for 15 years. Fixing this would be great
- There are structural reasons that modern growth is harder, such as ageing and increased cost of energy. A key one is the growing preponderance of service sector activities that are hard to automate, leading to Baumol’s Cost Disease
- Digital technology has exploded in its extent and capability, but not affected productivity as much as the hype suggests it should. It appears to affect small parts of our consumption basket and hasn’t yet transformed the big bits.
- But artificial Intelligence (AI) is widely seen as having the disruptive potential of utterly transforming service sector jobs
So: hope at last? You would think so. And there are two prominent Labour facing think tanks pondering and publishing on this very topic: the IPPR with “Transformed by AI” and Tony Blair Institute’s “Accelerating the Future”. With Labour currently forecast to enjoy a 300 seat majority, these people are worth studying.
But the two take a very different angle on this potential revolution. Blair’s crew follow the logic of those bullet points. Their worry is that this turns out to be another technology revolution that we fail to make the most of: “the UK’s problem is the lack of development and diffusion of tech from the frontier to the rest of the economy.” For decades, the government have agonised about why capitalist businesses fail to act in their own interests and adopt the best tech; see the Business Productivity Review, the creation (and failure) of Help to Grow, Andy Haldane on the Long Tail of Unproductive Businesses. It is genuinely puzzling why competitive markets do not weed out the laggards. Why do we have to urge companies to “be the business”? The problem is that AI is great, and we might not make the most of it, just as we haven’t with countless other improvements.
The IPPR in contrast takes what can be fairly called the Luddite point of view. (Luddites had a point! Ask ChatGPT!). Their language is riddled with a kind of nervous fatalism about the encroachment of AI. Jobs are “exposed” to AI, workers are going to be “displaced”. Their proposals include:
- ‘Ringfencing’ tasks from full automation, with processes involving unions, businesses and policymakers sitting down to work out which jobs should be treated in what way
- Subsidizing jobs that have low exposure to AI
- Efforts to ensure that any gains to productivity go to workers
- Promotion of a “full augmentation” scenario in which workers stay in place despite becoming far more productive.
A snarkier writer would suggest their piece be called “Decelerating the Future”, because some of these measures are actively trying to prevent AI being used, and others are definitely undermining the incentive to implement it. (Can you imagine trying to persuade an international investor to come here, when we, the government, want to discuss guidelines about which jobs can use which technology?) In a historically-learned report, the IPPR are acutely sensitive to the damage felt by people who have felt on the wrong side of technological change: mentions of displacement or disruption dominate those of growth or productivity.
Which one of these broad emphases is the right one? Without any question, it is the Blairite, optimistic view. As of 2024 we have demand for labour so high that immigration is at a record, the hospitality sector is genuinely struggling and social care is in crisis. We have had approaching half a century of the computer encroaching upon the workplace, and absolutely no sign of a negative effect on the number of jobs. From the OECD STAN Database:

For the UK in particular, admin job growth has outpaced our generally impressive overall employment record (except, oddly, in the public bit):

Whatever the problem has been, it is not a widespread displacement of administrative staff from their jobs, despite spreadsheets, word-processors, databases, email, and websites changing everything.
The IPPR has clearly noticed the phenomenon of cost-disease – occupations that passively enjoy the rise in productivity that is coming from the more innovative parts of the economy. Modernity is full of service jobs defined by their intangible capital, hard to automate, great for providing little pools of monopoly rent, a little crud-ish, if you like. Like the Blair Institute, IPPR see artificial intelligence is one possible way this might change. But their diagnosis is that society will somehow be better off if we try to ensure as many jobs as possible retain these characteristics, even if it means impeding the spread of productivity.
Is this the right call? It is possible to imagine good economic reasons to favour greater labour power and protections, of course: making it harder to hire and fire might boost the incentive to train and invest, goes the usual logic. I like some of these – but not in this report, when the process is explicitly to reject the encroachment of productive technology.
In places, I even fear that the IPPR have created a new twist on the lump of labour fallacy – which imagines there is only so much work to go around. The AI techniques under consideration are ways of making administrative work less labour-intensive, but the “Augmentation” scenario they envisage calls for keeping in the workers in place so they will “produce more and directly boost GDP”. This really isn’t how it works with admin. If the work is customer service, secretarial, producing documents, and so on, and one secretary can now do the work of four, the rational response isn’t to retain four, and generate four times as many documents, emails and so on. No one wants these crud-like things, they are a cost of doing business. GDP does not rise; productivity falls. We want to reduce the lump. And, yes, you might want to redeploy them – but why can’t that work through the labour market? It is how 6m or so job separations currently operate.
It is moreover hard to imagine any injunction to retain workers that would survive exposure to normal competitive forces. I would have liked a discussion of what customers, investors or competitors may want in the face of technical change. Rivals can adopt the same techniques but pass savings on to customers; capitalists will prefer to invest in the companies that reward the investment in innovation. “Innovate but pass all savings to workers” is not stable. This may sound heartlessly Thatcherite to some ears, but good analysis from the likes of Resolution Foundation (see Richard Davies’ piece) suggests that the problem has been too little dynamism and disruption, not too much.
To give them credit, I do not doubt that the IPPR’s worries about change are genuine. But they are far too well-read not to know already that the kind of sudden disruptive change they fear would be historically unusual. This one is meant to be different. But I don’t think that 100m people downloading ChatGPT is evidence that the UK is about to transform itself with AI at a blistering pace (it is just an app), and I would probably welcome it if it did. It would break all recent precedent, and recent precedent needs to be broken. I think the IPPR have chosen the wrong problem to solve.*
The Blair Institute piece is therefore better, in my view, simply for adopting the right target, writing
“An AI-era industrial strategy should aim to accelerate the technological transformation of the economy that is already underway, in order to generate economic value from AI-era technology faster and reap the rewards of higher productivity sooner”
In a funny way, TBI share some similar traits with the IPPR, in particular a strong faith in the action of the state to make things happen, calling for the government to “become a platform for the innovation, adoption and diffusion of productivity-enhancing AI-era technologies”. That sounds hard! Despite the problem lying in the adoption of technology by normal – what Rachel Reeves calls “everyday” – businesses, the TBI vision is very much about deep-tech and R&D based in a way that the early Cameron’s tech-obsessed team – or Dominic Cummings – might have produced. Apparently the answers lie with “hypercompetitive sectors” like advanced manufacturing, biotech, digital creative industries and fintech. Their proposals include some to shake up our “ossified, oligarchic research landscape”, and powerful, expert-filled central bodies driving change, developing and implementing strategies, and somehow coordinating government. Look at what the Ministry of the Future might do:
report directly to the prime minister and be tasked with scanning the horizon for emerging trends and disruptions, and working with departments to develop new long-term planning tools, adaptive strategies and contingency plans. It could also involve regular crisis simulations and wargaming exercises to test the government’s preparedness for different scenarios, such as economic and fiscal shocks, cyber-attacks, pandemics and technological accidents.
Sounds busy – and there would also be interdisciplinary research institutes, oodles of digital infrastructure, new-ish entities like data trusts, testbeds, Trailblazers, hubs and sandboxes. I would not confidently be able to draw any of these on a napkin, but they may well be Good Things.
My concern is that there is just too much here, too much for the state to do when in reality the successful exploitation of AI will ultimately depend on the private sector. If TBI is right and this is a transformative General Purpose Technology** then most of the right policies will be general and horizontal: the reduction of barriers, the provision of capital, the training of workers and so on. Innovation transforms through its use, not its invention. TBI are right that the world needs breakthroughs in those deep-tech ideas, but we don’t have to invent them to benefit: after all, here we are worrying about ChatGPT, and it isn’t a UK invention.
But these are quibbles. I prefer the TBI approach to the IPPR’s, because it is more squarely targeted on solving the right problem – our weak adoption of great ideas – and doesn’t risk making it harder to solve (as I fear these IPPR “ringfences” would). I have no idea if TBI can solve it, but that is what AI policy is like right now: hugely uncertain. Throw a lot of ideas at the wall, and some of them will stick – but it does need to be the right wall.
*Curiously, a 2017 IPPR piece on Automation takes much more of a pro-change angle, worrying about how “the diffusion of technologies to the non-frontier economy has to a considerable extent broken down, slowing the pace of automation and weakening productivity growth”.
**I happen to think AI is being slightly overhyped. In particular, the explosion of equity value isn’t proof of a giant net economic effect: those trillions in market capitalisation rather proves that whatever happens will be anything but cheap. In this gold rush, the customers are already paying a lot for the picks and shovels, before that much gold has been dug. The AI revolution has a marginal cost, even before you think about the electricity and water.
























