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Around 32% of entities expect AI to drive re-skilling over job cuts: Survey

The IFSC AI Survey 2026 found that 32% of entities anticipate AI will lead to re-skilling rather than job reductions. An additional 10% expect AI to create new roles through product innovation.

Published 10 August 2026 · ID 2026-08-10-around-32-of-entities-expect-ai-to-drive-re-skilling-over-job-cuts-survey

According to the IFSC AI Survey 2026, a significant portion of surveyed entities anticipate that artificial intelligence will drive re-skilling and job transformation rather than large net reductions in employment. Around 32 per cent of respondents expect AI to reshape workforce dynamics through training and upskilling, rather than eliminating positions. This suggests a cautious but optimistic outlook on the role of AI in the workplace, with a focus on adapting existing roles rather than reducing headcount.

The survey highlights a measured approach to workforce changes, with institutions recognizing the potential of AI to enhance productivity and efficiency. While 32 per cent of entities expect AI to drive re-skilling, an additional 10 per cent anticipate that technology adoption will create new roles through product innovation and the expansion of service lines. This indicates that AI is not solely a tool for cost-cutting but also a catalyst for new opportunities in various sectors.

Operational efficiency remains the primary driver for AI integration, with its share increasing from 64 per cent in 2025 to 82 per cent in 2026. This shift underscores the growing emphasis on leveraging AI to streamline processes, reduce costs, and improve performance. The survey also notes that while AI is expected to transform existing roles, it is not anticipated to lead to widespread job losses in the near term, as organizations prioritize re-skilling and workforce adaptation.

The implications of AI-driven re-skilling extend beyond individual organizations, influencing broader labor market trends. Companies are likely to invest in training programs to equip employees with the skills needed to work alongside AI systems. This could lead to a shift in the demand for certain skill sets, with a greater emphasis on technical and analytical competencies. Additionally, the focus on re-skilling may slow the pace of automation in some sectors, as businesses balance efficiency gains with workforce stability.

As AI continues to evolve, its impact on employment will depend on how effectively organizations integrate it into their operations. While re-skilling is expected to be a dominant theme, the long-term effects on job roles and industry structures remain uncertain. The survey suggests that a collaborative approach between employers and employees will be crucial in navigating the transition, ensuring that AI enhances rather than disrupts workforce dynamics.

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