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- Global Investment Research
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- Disruptive technology
Gamechangers: The next stage of AI’s impact on the economy
Human beings have always been fascinated by the interplay between technology and the labour market, with concerns that new machines might take away people's jobs and livelihoods. When we were researching our latest note, we found quotations - one from 40 years ago, another nearly a century old - expressing sentiments that still seem surprisingly familiar today..
"It begins to look as if machines had come into contact with men – as if the onward march of machines into every corner of our industrial life had driven men out of the factory and into the ranks of the unemployed"
New York Times, 1928
"Perennial fears that machines would replace workers have never been fulfilled, but European futurists insist that it will be different this time"
The future of work: does it belong to us or the robots? 1982
Almost every economics presentation or meeting over the past few years has had to include a mention or a question about AI – and rightly so. The impact of the technology on the economy has both been meaningful already and is set to increase in the coming years.
We’ve seen impacts on growth in the US via software investment and data centres, a boom in Taiwanese exports, and financial markets dominated by the winners and losers of AI. But beyond the initial buildout, the second-round macro impacts in most of the world have been pretty small so far. We haven’t seen mass layoffs. We haven’t seen productivity spike. We haven’t seen our day-to-day lives transformed by AI quite yet.
But what if this changes? The speed of AI improvements is so fast that the ways it can impact the world are changing weekly. It’s time to think about scenarios – and the ‘what ifs’. As a starting point, Fed Governor Michael Barr outlined, in a speech on 17 February 2026, a useful framework to think about what could happen with AI adoption in the coming years, presenting three different scenarios: gradual, rapid, and stall:
Scenario 1: Gradual adoption
- AI would proceed much like other general-purpose technologies, leading to strong productivity growth and some occupations would be displaced, while others emerge – widespread joblessness is avoided, though there may be a near-term rise in unemployment
Scenario 2: Rapid adoption
- AI capabilities would grow exponentially and quickly displace a range of professional and manufacturing occupations – big questions about the degree of unemployment and how policy responds
Scenario 3: AI capabilities stall
- AI proves incapable of completing hard tasks or complex projects, or an AI bust occurs as overinvestment becomes apparent – any productivity boost is modest
Within this – Scenario 1 is where we are today; a steadily increasing impact on the global economy. Scenario 3 would be similar in many ways – global growth may be slightly weaker than current expectations, although this may bring some asset price correction.
But scenario 2 is where things could get much more interesting. And whilst we would hesitate to put this as a base case right now, we need to start thinking about what such a shift could do to the global economy over the next five years or so should we clearly go down that path.
This would have huge implications for employment, productivity, and policy – and looking at the impact through the lens of our nine themes allows us to paint that picture. Consumption could become much more automated, as agentic commerce sees AI systems shop without human intervention, with digital finance (crypto) potentially playing a role; industrial robots, enhanced by AI, could solve some of our demographic problems, as older people grow as a share of the population; and automation in transport could reshape supply chains and trade flows. Meanwhile, in healthcare, medical AI tools could help with screening and bring down wait times, but professions like nursing, where human connection is crucial, could limit how far automation can really go. The energy transition will play a big role in determining if this is all possible, given the growing power demands from AI.
Given how big a shift this could imply for the global economy, we need to think about quite how dramatic the impacts could be if we end up heading down that path.
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