Are Businesses Scaling Back Hiring Due to AI?

Recent business surveys indicate a significant increase in AI adoption, with 40% of service firms and 26% of manufacturers now utilizing the technology. While direct AI-induced layoffs have been minimal to date, with retraining being the predominant workforce adjustment, AI is already influencing recruiting by reducing hiring for some roles, particularly those requiring a college degree, while simultaneously driving demand for AI-proficient workers. Firms anticipate a future increase in AI-related layoffs and further reductions in hiring plans, though the overall economy-wide labor market impact remains modest given current AI adoption rates.

Analysis

Recent survey data from the New York–Northern New Jersey region reveals a significant acceleration in corporate AI adoption over the past year, with 40% of service firms and 26% of manufacturing firms now utilizing the technology, up from 25% and 16% respectively. This integration is deepening, evidenced by a sharp increase in the use of paid AI tools, which for manufacturing firms surged by 39 percentage points. Despite widespread concern, direct AI-induced layoffs remain minimal; only 1% of service firms reported such actions, and retraining existing employees is the far more common response. However, the primary impact is surfacing in hiring dynamics. Approximately 12% of service firms have already reduced hiring due to AI, particularly for roles requiring a college degree, while a near-equal 11% have increased hiring for AI-proficient talent. The forward-looking sentiment is notably more cautious: 13% of service firms anticipate AI-related layoffs in the next six months, and nearly a quarter expect to scale back future hiring, signaling a potential inflection point where labor displacement could become more pronounced.

Key Decisions for Investors

• Investors should prioritize exposure to sectors demonstrating high AI adoption and a shift to paid tools, such as information, finance, and professional services, as these are positioned for near-term productivity gains.
• Monitor labor market data for signs of a growing skills mismatch, particularly wage inflation for AI-proficient roles versus unemployment trends for recent college graduates, as this will be a key indicator of structural economic shifts.
• It is prudent to re-evaluate long-term holdings in human capital-intensive service businesses, assessing their vulnerability to margin compression as AI-driven automation reduces the need for roles in areas like data management and customer service.