A new report from Gartner predicts that AI-driven job creation will outpace job losses by 2030, reversing the current trend of net job reductions. By the end of the decade, 10.6 million jobs will be added globally, excluding China and India, while 8.9 million will be lost, resulting in a net gain of 1.7 million positions. At most, 1.8% of the workforce will face AI-related job losses during this period, according to the analysis.
The shift reflects broader changes in how organizations adopt AI. Currently, job losses outnumber gains: in 2026 alone, 2.2 million jobs were lost due to AI, while only 1.6 million were created. However, Gartner expects this imbalance to reverse as companies achieve greater success with AI deployments, moving past what the firm calls the Trough of Disillusionment in its Hype Cycle framework.
Beyond outright job losses, AI has also led to 5 million deferred hires, positions that would have been filled but were delayed as companies waited to assess AI’s impact. Entry-level roles have been the hardest hit by these deferrals, though some positions eventually reopen after 12 to 24 months. In a separate 2023 report, Gartner estimated that 30% of AI-eliminated roles would be refilled by 2029, rising to 40% in larger enterprises.
Industry impacts vary sharply. The technology sector will see the largest net job gains, 1.9 million new roles by 2030, offset by 400,000 losses, while government jobs are expected to face the greatest net decline. Public-sector AI adoption, the report notes, will focus primarily on efficiency gains and workforce reductions rather than growth.
Services sectors, including financial services, will also see net job growth, contrary to earlier forecasts. A 2025 Gartner report had predicted more losses than gains in services, but updated data now shows demand rising for data- and system-oriented skills. “This industry is most able to improve productivity of employees and increase employment,” said John Lovelock, Gartner’s distinguished VP analyst.
The shift toward AI-driven hiring aligns with CEO expectations. A KPMG survey of 400 U.S. CEOs found that 89% plan to increase headcount over the next three years, a trend linked to AI adoption. Meanwhile, hiring delays have eased slightly: 1.3 million jobs were deferred in 2026, down from 2.1 million the prior year, with projections of 400,000 deferred hires by 2030.
