The US labor market is experiencing a complex transformation driven by artificial intelligence, revealing a striking paradox: while jobs most exposed to AI are seeing substantial pay increases, the technology is simultaneously linked to a significant number of layoffs.
The Pay Premium for AI-Exposed Roles
Data from Indeed's Hiring Lab, based on advertised salaries, indicates a notable divergence in wage growth. Since 2021, occupations with the highest exposure to generative AI have witnessed a remarkable 46% surge in advertised pay. This contrasts with a 41% increase for moderately exposed jobs, a 39% rise across all posted wages, and a more modest 25% for the least AI-exposed occupations.
This trend, which became particularly pronounced from 2024 to 2026, suggests a growing employer competition for workers possessing AI-related skills. Indeed's analysis, published in September, identified software development, IT systems and support, data and analytics, marketing, and banking and finance as some of the most AI-exposed fields. Conversely, less-exposed roles include nursing, personal care, food preparation, cleaning, and manufacturing.
Further investigation revealed a post-ChatGPT advertised-pay premium of 5.7% for AI-exposed jobs, even after accounting for occupational shifts. When comparing individual job titles against their historical pay, this premium remained at 4.7%. Adjusting for seniority reduced it to 2.4%, suggesting a portion of the premium is tied to the increasing demand for specialized and senior professionals capable of supervising AI systems, integrating them into workflows, and tackling complex problems.
The Rising Tide of AI-Linked Layoffs
Despite the wage growth in some sectors, AI's impact on employment is far from uniformly positive. According to Challenger, Gray & Christmas, AI was cited as a factor in 116,175 announced US job cuts through August 2026, representing about 22% of all layoffs. This figure marks a sharp increase from 54,836 AI-related layoff plans announced in 2025, bringing the total to over 170,000 since 2023, when AI began to be separately tracked as a reason for job reductions.
Major corporations have publicly linked AI to workforce reductions. In February, Block announced plans to eliminate over 4,000 jobs as part of an AI-driven restructuring, with CEO Jack Dorsey noting AI's potential to enable smaller teams to achieve more. Amazon also cut jobs in its artificial general intelligence group in July, following a larger layoff announcement in January. Meta's Project OT, aimed at creating smaller, AI-supported teams, also explored significant reductions, though parts of the plan were scaled back due to various concerns.
A Complex Future: Transformation Over Elimination
The emerging labor-market divide may not simply be between AI jobs and non-AI jobs, but rather between workers who can leverage AI to enhance productivity and those whose tasks are susceptible to automation or require fewer human inputs. For instance, while software development job postings have rebounded, 71% of the increase between May 2025 and May 2026 was in senior roles, with 37% explicitly mentioning AI.
This trend poses a particular challenge for younger workers, as AI can automate many routine tasks traditionally assigned to junior employees, potentially reducing the need for entry-level staff. The International Labour Organization (ILO) notes that while large-scale job displacement remains limited, there's a growing risk of inequality and erosion of opportunities for younger workers as AI reshapes work organization.
Most occupations involve a mix of automatable and non-automatable tasks, suggesting AI is more likely to transform jobs than eliminate them entirely. The World Economic Forum projects that technological shifts, including AI, will create 170 million jobs globally by 2030 while displacing 92 million, resulting in a net increase of 78 million jobs across the broader labor market.