Senior tech workers in roles heavily exposed to artificial intelligence saw their advertised pay jump 45% between 2021 and mid-2026, while entry-level positions in the same fields gained just 2%, according to data published September 30, 2024, by Indeed Hiring Lab. The analysis examined salary trends across occupations with varying degrees of AI exposure, revealing that employers are concentrating their hiring budgets and compensation gains at senior levels while contracting the entry-level pipeline into AI-adjacent roles. The report identifies software development, IT systems and support, data and analytics, marketing, and banking and finance as high-exposure fields, while healthcare, food service, cleaning, and manufacturing face less direct impact from AI's rapid rise.
Positions with the highest AI exposure experienced 46% pay growth since 2021, compared to 25% for the least-exposed roles, the data shows. The gap between these two categories remained relatively narrow until around 2024, when the divergence became sharper—coinciding with a rebound in hiring for more-exposed roles as companies began competing for AI-related capabilities. At the midlevel of seniority, workers in high-exposure occupations saw 12% salary growth over the same period. The report calculates an overall post-ChatGPT pay premium of 5.7% for high-exposure roles, a figure that holds at 4.7% even when comparing identical job titles against one another, such as data engineers versus other data engineers.
Jack Kennedy, an economist at Indeed and the report's author, says the evidence "points to hiring restructuring rather than direct substitution." He notes it isn't a case of senior raises being funded by junior cuts, but instead signals that companies are narrowing the entry-level pipeline into AI-adjacent positions while focusing compensation increases at the top. "Employers appear willing to pay more for the ability to effectively oversee, integrate, and correct AI output," Kennedy states, adding that the scaling of pay premiums with seniority indicates experience and expert judgment are especially valued qualities. At entry level, the smaller premium tied to AI exposure suggests "the complementary effect being thinner."
The findings support the notion that artificial intelligence is functioning as a complement to skilled workers rather than a replacement, reshaping market demand and average compensation for traditional IT and technical capabilities. As AI adopts hard technical skills, experienced workers who can supervise AI outputs and verify their accuracy become more valuable—a shift that elevates soft skills in tech positions historically centered on hard skills. The report concludes it will be essential for tech employers in coming years to ensure compensation for high-exposure occupations continues to scale with other AI-adjacent industries to maintain competitive standing in recruiting and retention. Despite fears that AI would erode knowledge work and suppress wages for remaining jobs, the four years of data following ChatGPT's public release show advertised wages for the most-impacted occupations aren't falling behind—they're outpacing their less-exposed counterparts. Organizations that fail to adjust their compensation strategies risk losing top talent to competitors who recognize the premium value of senior expertise in an AI-augmented workplace. The widening pay gulf between experience levels also suggests companies may need to rethink career progression models if they want to build sustainable pipelines rather than relying indefinitely on expensive external hires.