Artificial intelligence (AI) is on track to generate more jobs than it displaces by 2030, producing a net global gain of 1.7 million positions, according to a new report released on Thursday, 12 November 2026 by business and technology research firm Gartner. The findings offer a measured counterpoint to widespread fears of AI-driven mass unemployment.

The Numbers Behind the Forecast

Gartner projects AI will create 10.6 million new jobs worldwide while eliminating 8.9 million over the same period — a net addition of 1.7 million roles globally. However, the report underscores that the transition will be uneven and disruptive for a substantial share of the workforce.

Business decisions tied to AI have already begun reshaping hiring patterns. Executives deferred the creation and filling of 1.3 million positions in 2026, while 2.2 million jobs were lost and 1.6 million were created in the same year. By 2030, roughly 5 million individuals are expected to experience delayed hiring as executives postpone new role creation.

What Gartner Analysts Said

Helen Poitevin, Distinguished VP Analyst at Gartner, said organisations at the forefront of AI adoption do not view the technology primarily as a replacement for workers. “Organisations most advanced in AI execution view AI not as a replacement for labour, but as a catalyst to reinvent operations and rebalance workforce and technology capabilities to compete in changing markets. They ensure AI’s economic value goes beyond replacing labour,” she said.

On the distinction between deferred and lost jobs, John Lovelock, Distinguished VP Analyst and Chief of Research at Gartner, offered an important clarification: “Deferred jobs are not the same as lost jobs. They simply aren’t created.”

Who Is Most Affected

The report estimates that between 0.4% and 1.8% of workers globally will face job losses directly attributable to AI by 2030. More significantly, over 20% of the global workforce — equivalent to 435.5 million employees — will need to adapt to shifting job requirements, responsibilities, and work processes.

AI-driven impacts are not uniform. Poitevin cautioned against applying lessons from one sector to another: “AI job impacts are unevenly distributed across geographies, job functions and industries. The worst mistake that a business and IT executive can make is to apply lessons from one industry or role to another which can lead to poor errors in judgement and missed targets.”

Sector-by-Sector Breakdown

Asset-intensive sectors are projected to create 6.4 million jobs while eliminating 6 million, with direct AI-related job losses affecting 0.4% of the workforce in those industries. The technology sector is expected to be a net beneficiary, adding 1.9 million jobs against a loss of 0.4 million — affecting 1.8% of its workforce.

The public sector, however, faces a tougher outlook. AI investments there are unlikely to be sufficient to offset mounting skills shortages driven by broader structural factors, with a projected net loss of 0.5 million positions (0.9 million lost against 0.4 million gained) by 2030.

What Comes Next

The Gartner findings arrive as governments, corporates, and educational institutions worldwide grapple with how to reskill workforces ahead of a decade of accelerating automation. For India — which counts among the world’s largest technology and business-process outsourcing workforces — the sectoral disparities flagged in the report carry particular relevance. The report’s central message is that preparation and strategic workforce planning, rather than fear, will determine which organisations and economies emerge stronger.