Will AI create or take away more job opportunities?

Whether AI will create or eliminate more jobs on net is a hotly debated question with legitimate experts on multiple sides, and the picture seems to differ sharply by timeframe, region, and economic sector. Let me pull in some recent analysis to give you a well-grounded answer.## The short answer: it depends on who you ask, which timeframe, and who you are

There's no clean consensus yet — the data paints a genuinely mixed picture, and the most honest answer is "both, simultaneously, for different people."

The optimistic, net-positive case

The most-cited projection comes from the World Economic Forum's Future of Jobs Report 2025, based on a survey of over 1,000 employers across 55 economies. It projects that job creation and destruction due to structural labour-market transformation will amount to 22% of today's total jobs between 2025 and 2030, with new jobs equivalent to 14% of today's employment (170 million jobs), offset by displacement of 8% (92 million jobs), resulting in net growth of 7%, or 78 million jobs.

Some other data points support a growth story: jobs requiring AI skills grew 69%, against 9% for the job market as a whole, and the most AI-exposed companies grew headcount 52% since 2018, compared with 36% for the least exposed. McKinsey similarly argues AI will ultimately create more jobs than it destroys, though only one in seven displaced workers has a direct path to a growing job, and most new work in healthcare and construction can't be done remotely.

The "it's roughly a wash" case

A large-scale NBER survey offers a more neutral read: it found AI has had zero net effect on firm employment over the last three years, and a majority predict little net impact over the next three years. This squares with research suggesting AI's actual footprint is still small — US labor productivity has run about 2.4% annualized since early 2024, above pre-pandemic trend, but Federal Reserve research finds the gain concentrated in a small number of industries rather than economy-wide — and the Budget Lab at Yale finds US occupational mix has shifted about 1% since 2022, less than the early computer and internet eras.

The more pessimistic, recent-turn case

More recent 2026 data is less rosy than the 2025 WEF projection. S&P Global's latest survey found AI's employment impact has turned modestly negative, reversing the more positive picture in 2025, when it was characterized as neutral to slightly positive. Specifically, among large enterprises, the proportion reporting AI-related job reductions was 8 points higher than the share reporting gains, and large companies now forecast a net negative employment impact of -13 points — though smaller and medium firms still expect modest net gains.

Who's actually losing out right now: young/entry-level workers

The clearest, most consistent signal across multiple independent studies is damage concentrated among young and entry-level workers, not a broad collapse in total employment:

The honest bottom line

So: globally and over a 5-year horizon, most institutional forecasts lean toward net job creation, but the near-term reality in 2025–2026 looks more like a wash overall, with real, concentrated pain for entry-level and youth employment specifically.