Will AI create or take away more job opportunities?

Will AI Create or Take Away More Jobs?

The honest answer is: it depends on the timeframe, who you ask, and how you measure it — but the most authoritative long-term forecasts lean toward net job creation, while near-term data shows real, concentrated displacement.

The optimistic case: net job creation by 2030

The most-cited projection comes from the World Economic Forum. The World Economic Forum's Future of Jobs Report 2025 predicts that mainly due to technological changes, this decade will see the creation of 170 million new jobs, offset by the displacement of 92 million positions, resulting in a net increase of 78 million jobs. This survey-based forecast draws on a survey encompassing 1,000 companies across 22 industries and 55 economies, which altogether employ more than 14 million people.

Importantly, though, that 170M/92M figure covers all technological and economic trends combined, not AI alone. The WEF forecast for AI and information processing technology specifically is 9 million displaced and 11 million created by 2030 — still net-positive, but a much smaller slice of the picture than headlines suggest.

The more cautious/pessimistic signals

Business leaders themselves are split, and leaning negative. According to a World Economic Forum survey, more than half of business executives globally expect the technology to displace existing jobs, while only 24% said AI will create new jobs.

Near-term displacement is measurable, if modest so far. Challenger, Gray & Christmas data — the main direct tracker of AI-attributed layoffs in the U.S. — found AI-cited U.S. layoffs hit 54,836 in full-year 2025. However, independent analysts believe this undercounts the true effect, since the official count captures maybe a quarter of the actual effect, with broader estimates putting real AI-driven displacement at roughly 200,000–300,000 U.S. jobs in 2025 alone.

The impact is uneven across age groups. One of the most striking findings comes from Stanford: Stanford's Digital Economy Lab, using ADP payroll records covering 4.6 million workers across more than 730 occupations, found employment for 22-to-25-year-olds in AI-exposed occupations down roughly 16% by October 2025, while older workers in the same occupations held steady or grew. This suggests AI isn't eliminating jobs across the board — it's hitting entry-level, routine-task roles hardest while more experienced workers (who often supervise or direct AI) are less affected.

Earlier WEF forecasts were actually more pessimistic. The 2023 edition of the same report found across 45 economies, covering 673 million workers, 69 million new jobs were expected to be created and 83 million to be eliminated, a net decrease of 14 million jobs, or 2% of current employment. The shift to a positive net number in the 2025 report reflects changing assumptions, not necessarily a change in underlying reality.

What the IMF and other bodies say about scale of disruption

Beyond job counts, there's the question of how many jobs are touched by AI even if not eliminated: an IMF report concluded that 40% of jobs around the world will be affected by AI, and in advanced economies, that rises to 60% of jobs set to be affected by machine learning, with about half being negatively impacted.

Bottom line

So rather than a single yes/no answer: AI will likely create more total jobs in aggregate over the next several years, but it will destroy specific categories of jobs (especially entry-level and routine roles) faster than it creates replacements for the people who held them — meaning the net gain masks real pain for certain workers, industries, and age groups.