
What happened
LinkedIn's analysis of its platform data found millennials are 60% of new head of AI hires, earning a median $236,000. They are also 56% of technical new hires.
Why it matters
That suggests the AI boom is rewarding an already-advantaged slice of the workforce.
What to watch
Gen Z may be the exception—they are over two-thirds of new hires for forward deployed engineer and AI engineer roles. Whether those entry-level openings stay open is the test.
WHO IT HITSThis lands hardest on HR and talent-acquisition teams setting AI hiring targets, and on women and workers without four-year degrees who, per the report, are being consigned to lower-paying roles like data annotation.
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The LinkedIn report comes as major tech employers, from Google to Apple, have dropped degree requirements for many roles. Yet its data shows formal education still functions as a gatekeeper in AI: over 95% of new hires for head of AI, AI director, and technical staff roles hold a bachelor's degree or higher, and that credential is associated with roughly $52,000 more in median pay. Workers without four-year degrees, along with women, are concentrated in the lowest-paying roles with the lowest barriers to entry, such as data annotation.
The report's own conclusion puts the tension plainly: AI is often described as a force that democratizes expertise, yet today's AI labor market appears increasingly concentrated among workers with higher levels of formal education, especially in the highest-paying occupations. That framing sits alongside the finding that the typical AI job now pays a median of $177,000—more than double the $80,000 median for non-AI roles.
For the youngest workers, the picture is mixed. Gen Z faces the worst entry-level job market in 37 years, with 7.2% unemployment for those aged 22 to 27 in June versus 4.1% overall, and bosses cite AI as a reason they are not hiring for easier tasks. Still, LinkedIn's data suggests newer AI roles may be a strong entry point. Whether that opening widens or narrows likely hinges on whether companies keep creating those individual-contributor positions—and on whether the degree and gender gaps in the top-paying AI jobs start to close.
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