• AI investments are yielding productivity gains in large companies, leading to reduced hiring plans as firms optimize operations.
  • Smaller businesses report less impact from AI, creating a divergence in labor market effects across firm sizes.
  • Federal Reserve officials project AI could support GDP growth above potential through 2028, though uncertainty remains about long-term economic effects.

Neel Kashkari, President of the Minneapolis Federal Reserve Bank, recently highlighted that artificial intelligence is driving significant productivity improvements in large corporations, according to people familiar with his remarks. This technological shift is prompting many of these firms to slow their hiring as they adjust business plans to capitalize on AI efficiencies.

"We're seeing businesses report solid returns on their AI investments, which is translating into more cautious hiring in some sectors," Kashkari noted, aligning with the broader optimism that AI could boost productivity over the next five to ten years. His comments come amid Federal Open Market Committee discussions where AI's role in the economy has taken center stage, with recent minutes from January 28, 2026, detailing how firms are automating operations to offset costs and reduce price pass-throughs.

Business contacts have reported a hiring slowdown due to AI and automation effects, contributing to low net job gains even as layoffs remain minimal. One executive at a major tech firm, who requested anonymity to discuss internal plans, said, "Our AI initiatives are paying off faster than expected, so we're reevaluating our headcount needs for the coming quarters." Efforts to reach several other large companies for comment were unsuccessful by press time.

While large firms navigate these changes, smaller companies appear less affected, with many still in early stages of AI adoption. This divergence is softening the overall U.S. job market, though financial conditions remain favorable and support continued economic expansion. Fed staff project real GDP growth could outpace potential through 2028, partly due to waning tariff impacts and these productivity gains, but uncertainty persists around how fully AI's benefits will materialize.

In the background, AI is linked to somewhat elevated inflation as investments surge, with vulnerabilities including high equity valuations in tech sectors and potential debt increases for AI infrastructure. Market trends show AI investments mirroring the 1990s tech boom but, as Fed Chair Powell has stated, without the "irrational exuberance" of that era. Globally, AI demand is boosting high-tech exports in emerging Asian economies, even as U.S. tariffs pressure manufacturing in regions like Canada and Mexico.

Looking ahead, short-term growth in 2026 is expected to be solid, driven by AI productivity, supportive financial conditions, and fiscal policies. However, experts remain cautious, emphasizing that the translation of AI investments into broad economic gains is still unfolding. As one analyst put it, "We're hopeful but watching closely—productivity numbers in the coming quarters will tell us more."