Artificial intelligence is expected to transform workplaces, but claims that AI will eliminate 40% of jobs have sparked debate among economists and technology experts. Nobel Prize-winning economist Michael Spence has challenged the idea that exposure to AI should automatically be interpreted as permanent job losses.
Why the 40% Figure Is Being Questioned
Estimates about AI and employment often measure the share of jobs or tasks that could be affected by the technology. However, a job being exposed to AI does not necessarily mean that the entire position will disappear.
Many occupations contain a combination of tasks. AI may automate repetitive activities while workers continue handling decisions, communication, oversight and responsibilities that require human judgment.
Michael Spence’s View
Spence’s position focuses on the difference between technological capability and actual economic outcomes. Companies must decide how to integrate AI into their operations, and those decisions can determine whether technology replaces tasks, supports workers or creates new activities.
Businesses may use AI-driven productivity gains to reduce costs, increase output, develop new products or expand existing services. The impact will therefore vary across industries and individual companies.
AI Could Change Jobs Rather Than Eliminate Them
AI can already assist with research, coding, writing, data analysis, customer support and administrative work. In many cases, these technologies are being introduced as tools that help employees complete tasks rather than as complete replacements for workers.
Some repetitive roles could face greater pressure as automation improves. At the same time, new demand can emerge for AI development, system integration, data management, cybersecurity, AI governance and other technology-related work.
Global Job Creation and Displacement
The World Economic Forum’s Future of Jobs Report 2025 projected that major labour-market trends could create 170 million jobs and displace 92 million jobs globally by 2030. The report therefore points to substantial job disruption alongside overall projected employment growth.
These projections cover technological, economic and demographic changes rather than AI alone. They also highlight the growing importance of reskilling and upskilling as employers adopt new technologies.
Productivity Is a Key Factor
The economic effect of AI will depend partly on whether productivity improvements translate into stronger demand and business growth. Companies that become more efficient may increase production, introduce new services or redirect employees toward higher-value work.
Other businesses may use automation primarily to reduce labour requirements. As a result, the same technology can produce different employment outcomes depending on market conditions and management decisions.
The Importance of AI Skills
Workers are increasingly likely to benefit from understanding how AI systems operate and how to use them effectively. Skills in AI-assisted research, data analysis, automation, critical thinking and output verification can help employees adapt to changing workflows.
Human capabilities such as communication, creativity, problem-solving and domain expertise can also remain valuable when work requires judgment, collaboration and accountability.
What It Means for Workers
For workers, the debate is less about a single percentage and more about how individual occupations will change. Some tasks may disappear, some jobs may be redesigned and new roles may emerge as organisations adopt AI.
Workers who continuously develop relevant technical and professional skills may be better positioned to adapt as responsibilities evolve. Employers also have a role in providing training and creating pathways into new roles.
Will AI Really Wipe Out 40% of Jobs?
There is no established evidence that AI will simply eliminate 40% of all jobs. Estimates of AI exposure or automation potential should not be treated as direct forecasts of permanent unemployment.
The latest debate suggests that AI is more likely to produce a complex combination of automation, job transformation, productivity gains and new opportunities. How large each effect becomes will depend on technology adoption, business decisions, economic growth and investment in workforce skills.