For years, the doom-sayers warned that AI was coming for everyone's job. Turns out the machines had better plans: they hired a bunch of young guys and paid them twice as much. The AI job apocalypse did not arrive. A very lucrative gold rush with a very awkward demographic problem did.
A fresh LinkedIn report released this month put the whole thing in brutally honest numbers: AI roles now pay more than double non-AI roles, the exact kind of payday your LinkedIn feed promised you. And yet somehow, the people actually collecting those paychecks look suspiciously one-note. Of the people hired into AI roles in the US last year, roughly three-quarters were men. In an industry supposedly built to reshape the future of work, the ratio looks like it came from a 1950s office comedy.
The Numbers Are Almost Embarrassing
Here is the uncomfortable scoreboard from the report, and yes, all of these are real:
- Women hold just 27% of AI roles at AI companies, and only 13% of AI executive and leadership positions, versus about 19% in non-AI sectors.
- Women made up a little over a quarter of new US hires into AI roles last year, compared with about half of new hires into non-AI occupations.
- Men snagged nearly three-quarters of US AI hires, with the gap widest in the highest-paying technical seats.
So the one career aisle that is minting money is also the one aisle where women are the least welcome guests. AI's biggest paydays are, apparently, going to a shockingly narrow slice of humanity.
The Irony That Writes Itself
Here is where it gets genuinely funny, and also a little sad. While the AI jobs gold rush concentrates among young men, the very demographic most worried about AI stealing their livelihoods is the one being left out of the windfall.
Same-day polling from Pew shows young Americans are growing more wary of AI, increasingly convinced it will take their jobs. Headlines this week range from "Young adults are losing faith in AI's upside" to the Washington Post charting exactly how much young people now hate the stuff. Meanwhile, LinkedIn's own data finds Millennials and Gen Z workers are landing those fast-growing, high-paying AI jobs and holding their own just fine.
In other words: the people screaming "AI is going to fire me" and the people cashing AI-sized checks are increasingly different groups. One is worried. The other is getting paid twice as much.
There is a word for that dynamic, and it is not "efficiency."
Why It Matters Beyond the Memes
Okay, the comedy writes itself. But strip the humor away and the report is quietly ringing an alarm. Sarah Steinberg of LinkedIn put it exactly right when she warned that "the AI economy risks being shaped without the perspectives and talent of half the workforce."
That is not a vibes problem, it is a product problem. Inc. pointed out the same thing and framed it as a genuine business risk: build AI with a committee of one demographic and you end up shipping tools that large chunks of the population do not want or trust. Bias in training data can quietly harden unfairness in hiring, lending, and even criminal justice. Half the world's perspective is not a nice-to-have, it is a debugging feature.
And the talent is demonstrably there. Daniela Amodei and Fei-Fei Li did not need a seat at the table handed to them, they built their own chairs. The supply of brilliant women in AI exists; the pipeline that routes them toward those 13% of executive seats does not.
So yes, the AI job market is booming, salaries are doubling, and the future of work is being written right now. It would just be nice if half the authors showed up to the meeting.
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