AI Adoption Surges to 60% of Firms, Yet Layoffs Remain Rare

Artificial intelligence has moved from experimental to mainstream in American workplaces, yet the feared wave of job cuts has not materialized. New survey data from the Federal Reserve Bank of New York shows that while AI adoption has more than doubled across regional businesses over the past two years, workforce retraining—not layoffs—remains the dominant response.

The findings challenge persistent narratives about AI-driven unemployment and offer concrete evidence about how companies are actually implementing the technology.

Adoption Accelerates While Investment Stays Modest

The New York Fed's August 2026 business surveys found that 61 percent of service firms in the New York and Northern New Jersey region now use AI in their operations, up from 40 percent in 2025 and just 25 percent in 2024. Among manufacturers, adoption reached 51 percent—double last year's rate and triple the 2024 figure.

Despite this rapid uptake, most companies are proceeding cautiously. Three-quarters of service firms and more than 90 percent of manufacturers characterized their AI investments as minimal to modest, ranging from free tools to small budget allocations. Only 15 percent of service firms have committed significant resources, and just 5 percent view AI as a major strategic investment. No manufacturers reported significant investments.

Usage within adopting firms remains concentrated: the median share of workers using AI was 17 percent at service firms and just 7 percent at manufacturers.

Why it matters

These patterns suggest AI is following a different trajectory than previous automation waves. Rather than eliminating positions wholesale, the technology is being integrated gradually, with companies investing in human capital to leverage it effectively. For business leaders, this indicates that workforce development—not headcount reduction—should be the primary AI implementation strategy. For policymakers and workers, it offers evidence that adaptation through training may be more important than displacement concerns in the near term.

Retraining Dominates Over Replacement

Only 4 percent of service firms reported AI-related layoffs over the past six months, up slightly from 1 percent in 2025. No manufacturers reported layoffs in either year. About 15 percent of service firms said they hired fewer workers than they would have otherwise, but 13 percent actually increased hiring to help leverage AI capabilities.

Among AI-adopting businesses, just over one-third of service firms and more than 20 percent of manufacturers are actively retraining workers. This training focuses on practical skills: basic AI literacy, tool-specific instruction for chatbots and generative AI, automating routine tasks, and prompt engineering. Many companies emphasized teaching responsible AI use, including output verification, bias awareness, and data security protocols.

Training methods varied from formal workshops and external consultants to informal peer learning and hands-on experimentation.

Barriers to Adoption

Among non-adopters, cost was not the primary deterrent. Half said their work doesn't lend itself to AI, while roughly a quarter felt current AI capabilities don't provide sufficient benefits. Data privacy, security, and accuracy concerns each affected about one-third of non-adopters, as did lack of technical skills among staff.

These findings align with broader research showing limited labor market disruption from AI so far, though some studies suggest entry-level workers may face barriers as AI substitutes for routine tasks typically assigned to newer employees.

The data was first reported by the Federal Reserve Bank of New York in their Liberty Street Economics blog, based on three years of regional business surveys tracking AI adoption and workforce impacts.