Gen Z Took 69% of AI Engineer Hires in 2025 as Women Held at 26%
LinkedIn’s 2025 AI hiring data, reported by the Wall Street Journal, draws a sharp demographic portrait of who is landing AI jobs — and who is not.
The numbers
| Role | Gen Z share | Millennial share |
|---|---|---|
| AI engineer | 69% | — |
| Forward deployed engineer | 68% | — |
| Head of AI | — | 60% |
Across all AI-related hires in 2025:
- 90% held a bachelor’s degree
- 20% of AI leadership hires held doctorates
- 26% were women
What the split signals
Gen Z’s dominance in individual-contributor AI engineering is partly cohort math: this is the first generation to enter the workforce when AI tooling was already embedded in computer science curricula. Students who graduated in 2024 and 2025 have spent their entire academic careers with large language models as a working reality, not a novelty. The credential bar tracks with that trajectory — 90% bachelor’s, not self-taught.
The leadership inversion is sharper. Millennials, not Gen Z, hold 60% of head of AI appointments. That pattern reflects a conventional experience premium: organizations still want a decade of engineering or product history before handing over AI strategy budgets.
The gap that is not closing
The 26% female representation in AI hires has remained effectively flat across the industry for three years. Given that women account for roughly 28% of the broader tech workforce, AI is not tracking ahead of the sector baseline — and in some specializations is below it. The LinkedIn data does not separate engineering from non-technical AI roles, which matters: the 26% figure likely flatters the picture for AI-specific technical positions.
The broader frame
WSJ characterizes AI’s labor impact as opportunity moving faster than people can move with it. That framing fits the demographic split: Gen Z moved first because they had the least distance to travel. The risk embedded in the data is that organizations chasing AI talent are deepening existing workforce concentrations rather than distributing access. The doctorate share in leadership — 20% — is also notably higher than the broader tech industry norm, suggesting that at the strategy layer, credentialism is intensifying, not relaxing.