AI Will Drive a Net Increase of 1.7 Million Jobs by 2030

Artificial intelligence is projected to facilitate a net increase of 1.7 million jobs globally by 2030, according to data from Gartner. The research firm indicates that AI will generate 10.6 million new positions while eliminating 8.9 million roles within the same timeframe.

“Organizations demonstrating advanced AI implementation do not view the technology as a substitute for labor, but as a strategic driver for operational reinvention and the rebalancing of human and technical capabilities. They prioritize ensuring that AI’s economic contributions extend beyond mere labor replacement,” stated Helen Poitevin, Distinguished VP Analyst at Gartner.

During 2026, a significant labor market impact involved executive decisions to defer the hiring for 1.3 million roles, alongside 2.2 million lost positions and 1.6 million gained. By 2030, an estimated 5 million individuals will experience delayed hiring as a result of executives postponing new position creation. “Deferred roles are distinct from eliminated positions; they simply remain unestablished,” noted John Lovelock, Distinguished VP Analyst at Gartner.

By 2030, Gartner estimates that between 0.4% and 1.8% of the global workforce will face job loss directly linked to AI. Within this period, approximately 20% of workers—totaling 435.5 million employees worldwide—will need to adjust to evolving workplace structures, modifying their primary tasks, methodologies, and professional boundaries.

“The impacts of AI on employment are inconsistently distributed across geographic regions, functions, and industries. A significant strategic error for leadership is the broad application of lessons from one sector to another, which often results in poor judgment and missed objectives,” Poitevin added. “Each industry encounters unique risks that executive leaders must specifically navigate.”

Gartner detailed the evolution of AI-related employment across three sectors: Asset-intensive industries involving physical products or capital-heavy infrastructure represent the largest global job share and will see 6.4 million roles created versus 6 million lost. AI-driven reductions are expected to affect 0.4% of this sector’s global workforce by 2030.

AI investments within the public sector are unlikely to fully offset severe upcoming skills shortages driven by external factors. By 2030, the public sector is forecast to see 0.4 million job additions and 0.9 million reductions. AI-attributable job losses are projected to represent 0.4% of the global public sector workforce during this timeframe.

The technology industry remains profoundly affected by AI, with nearly 70% of its workforce experiencing significant exposure. By 2030, the sector is expected to create 1.9 million roles while losing 0.4 million. The direct impact of AI-related job losses is forecast to represent 1.8% of the global technology workforce through 2030.