AI-related job creation to outpace losses by 2030, says Gartner
Wider use of AI within organizations will lead to more jobs being created than are lost by 2030, according to Gartner. Around 10.6 million jobs will be added globally (excluding China and India) by the end of the decade, with 8.9 million lost, according to a Gartner report — a net increase of 1.7 million jobs. At most, around 1.8% of the workforce will experience job losses attributable to AI…
A Gartner report predicts that AI-related job creation will surpass job losses by 2030, with a net increase of 1.7 million jobs globally (excluding China and India). Around 10.6 million jobs will be created, while 8.9 million positions will be lost, equating to a maximum of 1.8% workforce impact. Deferrals, or jobs delayed due to AI, will total 5 million by 2030.
"Job deferrals were the first effect felt from AI," said Gartner analyst John Lovelock, as companies wait to hire until the outcomes of AI projects are known. A recent KPMG survey of 400 US CEOs revealed that 89% plan to increase headcount over the next three years, partly due to AI adoption. In 2026, there were 2.2 million AI-induced job losses and 1.6 million AI-created jobs.
Lovelock anticipates a shift as organizations achieve greater success with AI deployments, reversing the current job loss trend. Job deferrals are expected to decline, with only 400,000 positions deferred by 2030. The technology industry will see the most significant net job gains, whereas public sector and asset-intensive industries will experience larger job losses.
Services sector jobs, such as in financial services, will also see job creation and losses. Government jobs are expected to bear the largest net job losses, as governments aim for efficiency and staff reductions rather than revenue growth or industry transformation. Entry-level positions are likely to face the most significant impact from job deferrals, with a 12- to 24-month delay before being hired or potentially transitioning into job loss.
For enterprise-sized organizations, roughly 40% of positions eliminated by AI layoffs may be refilled by 2029, compared to 30% on average.
Written by urgent.news from Computerworld's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
