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AI to Create 1.7 Million More Jobs Than It Eliminates Globally by 2030: Gartner Report

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New Delhi, November 12, 2026 (Yes Punjab News)

Artificial intelligence is expected to create more jobs than it eliminates worldwide by 2030, resulting in a net gain of 1.7 million positions, according to a report by business and technology research firm Gartner.

The report estimates that AI will generate 10.6 million new jobs globally over the next four years while displacing around 8.9 million positions. It suggests that the technology’s overall impact on employment will involve not only job displacement but also the creation of new roles and changes in existing responsibilities.

“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,” said Helen Poitevin, Distinguished Vice-President Analyst at Gartner.

The report also highlighted the immediate impact of AI-related business decisions on recruitment. Executives deferred the creation and hiring of 1.3 million positions in 2026, while 2.2 million jobs were lost and 1.6 million were created.

By 2030, around five million people could experience delayed hiring as business and IT leaders postpone creating new positions. Gartner Distinguished Vice-President Analyst and Chief of Research John Lovelock stressed that deferred jobs should not be confused with lost jobs, as they refer to positions that are never created.

The report estimates that between 0.4 per cent and 1.8 per cent of workers worldwide could lose their jobs directly because of AI by 2030. At the same time, more than 20 per cent of the global workforce, equivalent to approximately 435.5 million employees, will need to adapt to changing job requirements, responsibilities and work processes.

The impact is expected to vary significantly across industries. Asset-intensive sectors are projected to create 6.4 million jobs and eliminate six million, while AI-related job losses in these industries could affect 0.4 per cent of the workforce.

The public sector is expected to record 400,000 job gains against 900,000 job losses. In contrast, the technology sector could add 1.9 million jobs while eliminating 400,000, with 1.8 per cent of its workforce affected.

Poitevin cautioned that AI’s employment impact would differ across geographies, industries and job functions, warning businesses against applying the same assumptions to every sector.

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