Generative AI Adoption in Workforce Nears 50% by Mid-2025, Says Stanford Economist

Palo Alto, CA – The adoption of Generative Artificial Intelligence (AI) and Large Language Model (LLM) tools in the workforce experienced a significant surge in the first half of 2025, with usage rates climbing from 30.1% in December 2024 to 45.6% by June 2025. This upward trend, however, may be showing signs of deceleration, according to Jon Hartley, an economics PhD candidate at Stanford University and Policy Fellow at the Hoover Institution.

Hartley shared these findings in a recent social media post, referencing an update to a paper titled "The Labor Market Effects of Generative AI." > "The big upward trend in Generative AI/LLM tool use in 2025 continues but may be slowing," Hartley stated, highlighting the rapid integration of these advanced technologies into professional environments. The data, derived from surveys tracking LLM adoption, underscores the swift pace at which businesses and individuals are incorporating AI into their daily operations.

The significant increase in AI tool usage reflects a broader shift in the labor market, as companies seek to leverage AI for enhanced productivity, automation of routine tasks, and innovation. This rapid adoption suggests that Generative AI is transitioning from an emerging technology to a mainstream tool, influencing various sectors and job functions. The potential slowing of this growth, as noted by Hartley, could indicate a period of stabilization or a more nuanced integration phase following the initial rapid uptake.

Jon Hartley, known for his research in macroeconomics, finance, and labor economics, is also a Research Fellow at the Foundation for Research on Equal Opportunity and a Senior Fellow at the Macdonald-Laurier Institute. His work often focuses on the intersection of technology, economic policy, and labor market dynamics, providing valuable insights into the evolving landscape of work. The continued monitoring of AI adoption rates and their labor market effects remains crucial for understanding future economic trends and policy implications.