AI set to displace millions of workers globally by 2035: McKinsey

Artificial intelligence adoption is expected to trigger significant workforce disruption over the coming decade, with roughly 11 million workers globally potentially needing to change jobs by 2035 due to AI-related displacement. This represents a substantial portion of the current workforce facing occupational transitions as automation reshapes employment landscapes.

The projected displacement reflects accelerating AI capabilities that are automating routine and knowledge-based tasks across multiple sectors. Workers in roles involving data processing, administrative functions, and repetitive decision-making face the highest risk of obsolescence, according to labour market analysis.

Economists emphasize that this transition presents both challenges and opportunities. While displacement poses immediate hardships for affected workers, demand is expected to surge in emerging roles centred on AI maintenance, oversight, and complementary human-centric functions. The scale of change will likely vary significantly across regions and industries.

Policymakers are increasingly focused on reskilling initiatives and social safety nets to manage the transition. Educational institutions and employers are beginning to adapt training programmes to prepare workers for AI-augmented roles, though experts warn that existing infrastructure may be insufficient to accommodate the pace of change.

The findings highlight the urgency of proactive workforce development strategies as organisations accelerate AI deployment across operations. Success in managing this transition will depend on coordinated efforts between government, industry, and educational institutions to ensure workers can adapt to evolving labour market demands.