Invest1 publisher3 min readPublished
Millennials took 60% of new head-of-AI hires at a $236,000 median
LinkedIn's platform data puts women at 20% of those hires and 18% of technical staff hires. The same figures show the biggest single pay step is the one into AI at all, worth $86,000 over the median for non-AI work.
The Investor · Invest desk
What happened
- LinkedIn ranked the 12 fastest-growing AI jobs using its own platform data and matched them against the ages of the people being hired into each one.
- Millennials, the 30-to-45 cohort, took 60% of new head-of-AI hires, at a median salary of $236,000, and 56% of technical new hires.
- Women accounted for 20% of head-of-AI hires, 26% of director-of-AI hires and 18% of technical staff hires.
- More than 95% of the people hired into head of AI, AI director and technical staff roles hold a bachelor's degree or higher.
Compiled by The InvestorSomething wrong?How this is made
Why it matters
- constraint With 95% of senior AI hires holding a degree, the credential screens candidates out before any pay conversation happens, and the openings left for non-graduates are the low-barrier ones.
- decision A team budgeting a head of AI at $236,000 is spending $37,000 more than the going rate for a forward deployed engineer, so the choice between one manager and one senior builder is close on cost.
- exposure The 22-to-27 cohort now depends on AI individual contributor hiring as one of the few doors open at 7.2% unemployment, so any slowdown in those roles lands on the group with the least slack.
- contradiction Employers say AI is why they stopped hiring young workers for easier tasks, yet the same platform's data has Gen Z taking two-thirds of the AI engineer hires, which makes the stated reason hard to test.
The pay steps in LinkedIn's numbers are not spaced the way a job ladder is. An AI engineer hire takes a median $166,000, against $80,000 for non-AI work, a difference of $86,000 [1]. The move from that job up to head of AI, at a $236,000 median, adds $70,000 [2]. The typical AI role sits between them at $177,000 [7].
The senior title is also close to the best-paid individual contributor job. Head of AI at $236,000 is $37,000 above the $199,000 median for a forward deployed engineer, about 19% [3]. Both medians come out of the same platform data LinkedIn used to rank the 12 fastest-growing AI jobs [1].
Education explains a large share of the same spread. LinkedIn puts roughly $52,000 of median pay down to higher education [9], which is about 60% of the $86,000 that separates an AI engineer from the non-AI median [4]. More than 95% of hires into the three senior categories hold a bachelor's degree or better [8]. Fortune notes that major employers including Google and Apple have dropped degree requirements, while LinkedIn's data shows the credential still matters for AI work [10].
Women at 20% of head-of-AI hires means men took four in five [5]. Fortune's account reports gender as a share of hires and does not report the applicant pool or pay by gender [14], so the 20% describes the outcome without sizing the screen that produced it. Fortune also reports that women, and workers without four-year degrees, are landing in the lowest-paying roles with the lowest barriers to entry, such as data annotation [12].
The LinkedIn report, quoted by Fortune, said: "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." [11]
Two readings fit these medians. In one, the $86,000 entry gap is a scarcity price for people who can ship AI systems, and it narrows as supply arrives. In the other, some of the premium is a titling convention, existing engineering work relabeled and then counted as an AI hire. Supply is arriving at the entry point first: Gen Z already holds more than two-thirds of hires into AI engineer and forward deployed engineer roles [6], and the report calls the newer AI roles a "strong entry point" for younger workers [13]. I would expect compression to show in the $166,000 median before the $236,000 one. If next year's cut has AI engineer pay climbing toward the $199,000 forward deployed figure while the non-AI median stays near $80,000, that expectation is wrong and the entry premium is durable.
What to watch
- Next year's LinkedIn cut: whether the $166,000 AI engineer median climbs toward the $199,000 forward deployed figure, or the $80,000 non-AI median moves at all.
- Whether the 7.2% unemployment rate for 22-to-27-year-olds falls as AI individual contributor hiring continues.
- Whether the 95%-plus degree share in senior AI hires drops at employers that publicly dropped degree requirements.