The future of work is a hot topic, and the impact of AI on jobs is set to be a game-changer. While some may see it as an impending disaster, the reality is far more complex and intriguing.
Since the launch of ChatGPT, there's been a lot of talk about an AI-induced jobs apocalypse. However, the situation is not as dire as predicted. Despite initial fears, AI hasn't led to the mass layoffs many anticipated. But here's where it gets controversial: economists believe that the true impact of AI on the job market is yet to fully unfold.
Economists predict that 2026 will be a pivotal year, with AI reshaping labor markets in ways that will affect certain workers before the benefits trickle down to wages and living standards. The concern is that governments, in their race to embrace AI, might overlook the potential negative consequences for some individuals, particularly graduates entering professions that were once considered secure.
"I'm genuinely worried about this," says Molly Kinder, a senior fellow at the Brookings Institution. She highlights the clear intention of employers and investors to use AI for efficiency gains, often with the goal of reducing labor costs. Kinder believes we're underestimating the extent of transformation that could occur in the medium to long term.
Research conducted by Kinder and the Yale University Budget Lab last year found little evidence that generative AI was causing widespread job losses or significantly altering the occupational mix in the US economy. However, a recent rise in graduate unemployment in the US and Europe is a cause for concern, exacerbated by broader economic downturns and policy changes.
Ben May, director of global macro research at Oxford Economics, believes that companies are linking layoffs to AI usage to present a positive image to investors, rather than admitting to weaker demand or past hiring excesses. But some studies suggest that AI is indeed adding to the challenges faced by young people, particularly in tech, finance, and support roles that are susceptible to automation.
Tera Allas, a senior adviser at McKinsey, analyzed UK job postings and found a clear pattern of sharper declines in occupations more exposed to AI. While this doesn't mean companies have realized significant cost savings, it indicates a shift in hiring practices. In many teams, AI is unlikely to replace an entire job, but it might automate enough tasks to reduce the need for additional hiring.
The changes brought about by AI may benefit existing employees and create new opportunities. Stefano Scarpetta, director of the employment directorate at the OECD, cites research showing that small businesses deploying generative AI experienced improved scalability, reduced reliance on external consultants, and a lighter workload, without cutting jobs.
Evidence suggests that AI could enhance the skills of many workers rather than displacing them. "If you ask workers, they're generally happy with generative AI because it takes care of the mundane tasks," says Sir Christopher Pissarides, a professor at the London School of Economics. However, he shares the concerns for new graduates, especially in economies like the UK's, which rely heavily on professional services.
So far, policymakers have focused on promoting AI development and adoption rather than managing its potential impact on workers. Companies, too, seem to be lagging in preparing their workforce for this new reality. Scarpetta emphasizes the need for more investment in training workers with skills complementary to AI, such as critical thinking.
If the situation for graduates worsens in 2026, it could become a major political issue. Pissarides points out that unlike previous waves of change that affected manufacturing jobs, this time it's the children of professionals who are at risk. "They're more visible socially and politically, so you'll hear a lot more about it," he says.
Kinder believes that as AI takes over early-career grunt work, the paths into many professions will need a complete overhaul. Young people have followed the traditional path to financial stability, only to find that these jobs are now vulnerable. So far, there's been a lack of big ideas from policymakers to support early careers, but Kinder predicts that this will change if AI-related job losses continue to rise.
The impact of AI on jobs is a complex and evolving story, and it's crucial to keep an open mind and engage in thoughtful discussions about its potential implications.
