Why self-taught generalists may dominate as AI rewrites the rules of work
Last year, I was catching up with an old friend over a round of golf.
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Last year, I was catching up with an old friend over a round of golf.
People entering the workforce today are on track to hold roughly twice as many jobs over their careers as people did 15 years ago.
There's something deeply counterintuitive buried in some recent Gallup figures, and I think it's worth sitting with for a moment.
By the mid-1990s, somewhere between half and two-thirds of American kids in elementary and middle school were spending part of their afternoons unsupervised, depending on which study you trusted and what exactly you counted as supervision.
I sat in the rental car for ten minutes at the end of my father's road last weekend, engine off, hands on the wheel, unable to make myself drive.
It is a Sunday evening in London, and my father is sitting in his usual chair, in his usual living room, with the news on at a volume slightly too loud.
"Have it all" is one of the most expensive lies feminism ever sold women.
For the last two years, just about every conversation we've had about AI and careers has revolved around the same question.
Surveys of older adults consistently surface a quiet pattern: people who spent decades building lives around providing, caregiving, and obligation often report difficulty naming what they actually enjoy once those roles loosen.
It seems like there's a story being told in just about every workplace right now.
The image is by now so familiar it feels like fact.
I drove to my parents' house last summer for a long weekend, and somewhere on the second day I noticed something I'd been not-noticing for about thirty years.