AI to impact 89% of jobs next year, CNBC survey of HR leaders finds

A recent CNBC survey of senior HR executives reveals that 67% currently observe AI impacting jobs, with 89% anticipating further significant workforce transformation within the next year, including 45% expecting effects on half or more of all roles. While 61% report AI enhancing company efficiency and 78% driving innovation, planned workforce reductions are primarily attributed to cost-cutting rather than AI-driven efficiency gains, with an equal 29% of firms projecting headcount increases and decreases. This suggests AI is largely viewed as a catalyst for task redistribution and efficiency improvements, reshaping job functions and skill requirements rather than immediately leading to widespread net job displacement.

Analysis

A recent CNBC survey of senior HR executives indicates that 67% currently observe AI impacting jobs, with 89% anticipating significant workforce transformation within the next year. Specifically, 45% expect AI to affect nearly half or more of all jobs in their organizations, signaling a widespread and accelerating shift in job functions.

This transformation is largely viewed positively, as 61% of leaders report AI enhancing company efficiency and 78% driving innovation. New research from the London School of Economics further supports this, noting employees using AI save an average of 7.5 hours per week, while Indeed projects 26% of jobs will 'radically transform' due to AI.

Despite these changes, planned workforce reductions are primarily attributed to general cost-cutting, not AI-driven efficiency gains, with an equal 29% of firms projecting headcount increases and decreases. This suggests AI is currently seen as a catalyst for task redistribution and skill requirement shifts, rather than widespread net job displacement, aligning with the moderately positive sentiment.

Key Decisions for Investors

• Investors should prioritize companies demonstrating clear strategies for AI integration to enhance efficiency and innovation, as indicated by the survey's positive sentiment regarding AI's impact.
• Monitor corporate guidance for specific details on AI-driven productivity gains versus general cost-cutting measures impacting headcount, differentiating between genuine AI leverage and broader economic pressures.
• Evaluate the long-term implications of AI on labor markets, focusing on sectors and companies poised for significant task redistribution and skill evolution rather than immediate large-scale job elimination.