AI Will Add 1.7 Million Net Jobs by 2030, Gartner Projects

Gartner projects that artificial intelligence will produce a net gain of roughly 1.7 million jobs globally by 2030 — 10.6 million new positions created against 8.9 million lost between 2025 and 2030. The forecast, shared with Business Insider, directly contradicts the "job apocalypse" framing that has followed a wave of AI-related layoff announcements.

The numbers come from John Lovelock, distinguished vice president analyst and chief of research at Gartner. He said employers are currently in wait-and-see mode as the work impacts of AI become clearer, and that adoption follows a three-stage pattern.

"Early use of AI just leads people to say, 'You know what? Let's hold off on hiring,'" Lovelock said. "Next level up in usage of AI leads to job reductions. And the final use of AI typically leads to job additions — net job additions."

What does this change for workers?

The expected job loss would affect less than 2% of workers, but disruption reaches far wider. Gartner projects that more than 20% of workers — 435.5 million people — will need to adapt to AI effects, including what kind of work they do and how they do it.

"Of the 10 tasks you may be doing today, you may only be doing six of them, and you'll be doing them differently tomorrow," Lovelock said.

The skills employers demand are shifting accordingly. Nicole Bachaud, an economist at ZipRecruiter, said AI is adding volatility in tech-related industries in the United States. Employers increasingly want applicants with AI experience or strong soft skills, because AI can now handle what a role once required.

"As these skills change so rapidly, I think we're going to see more turnover and, as a result, more volatility in professional and business services, in financial activities, and information," Bachaud told Business Insider.

How many cuts have already been announced?

Challenger, Gray & Christmas, an outplacement and executive coaching firm, has counted more than 100,000 AI-related job-cut announcements in the US this year as of October. AI ranks as the second-most-cited reason for cuts, behind market and economic conditions.

Worker sentiment reflects that pressure. Cristina Estupiñán, who worked in software development and was searching for work after a layoff, said she was not excited about prospective employers asking about her enthusiasm for AI.

"I have to make up something about what excites me about AI because, frankly, nothing really excites me about AI," Estupiñán said.

Shawn Mrzena, who spent more than two decades at Microsoft, took the company's voluntary retirement program partly because the pace and demands of AI did not appeal to him as a worker.

"I just decided, 'You know what? I'm going to leave it to the next generation,'" Mrzena said. "This is not something I want to invest my energy and time into. I'm not waking up excited in the morning."

Which industries gain and which lose?

Lovelock said the effects will vary sharply by sector. Governments, he suggested, might "be fixated on the efficiencies and reducing labor force, reducing cost of operations, and therefore more likely to be a loss." Service industries, by contrast, could see job increases, because a productivity boost makes each additional employee more lucrative.

Jan Hatzius, chief economist and head of global investment research at Goldman Sachs, expects unemployment to remain low next year, though he sees possible upward pressure over the following two years from "more aggressive AI adoption." He characterized this as a temporary headwind, not a jobpocalypse.

Global survey data shows the fear outruns the forecast in most countries. Pew Research Center found 76% of Australians and 76% of South Koreans expect AI to reduce jobs in their country over the next 20 years — the highest share among the 37 countries surveyed. Nigeria and the Philippines recorded the lowest shares, at 26%.

"In a number of countries, concern about AI-related job loss is more common among young adults (those ages 18 to 34) than older adults (those ages 50 and older)," the Pew report said, citing high-income nations including Canada, France, Singapore and Sweden, plus middle-income nations such as India, Indonesia and Malaysia.

If Gartner's trajectory holds, the coming five years will test whether the final stage of AI adoption — net job additions — arrives fast enough to absorb the disruption of the first two.