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Articles about Future of work from podcasts, articles and papers, with links to the original sources.
A 1937 question about why firms exist at all came back to the Moonshots panel by way of an economics workshop framework on AI agents as market participants. Salim Ismail argues the...
Updated 15 Sep 2026 IdeaOn Moonshots EP #285, the panel worked through a proposed shift in how AI is sold: not by tokens consumed but by results delivered. This explainer sets out what outcome pricing mea...
Updated 14 Sep 2026On Sequoia's Training Data podcast, Box's Aaron Levie explains why generated code feels acceptable while a generated board deck does not: a presentation is still read as evidence of what its author knows and can execute. He admits the double standard — he uses AI for his own brainstorms and decisions — and describes reading posts twice, once for the substance and once to guess who wrote them.
On the Moonshots AMA, an educator said his classrooms of five- and six-year-olds still look like the 1960s while the panel debates life after AGI. The answers: stop training children for a profession, start them on a problem — plus one panelist's warning that school is still where children learn to be people.
On a Moonshots listener call, Matt from Terre Haute, Indiana asked what people with families, mortgages and a fixed location should do, since so much AI advice seems aimed at 22-year-olds working 80-hour weeks. The panel's answers: describe your actual obligations to a language model and brainstorm at the margin, practice on the tools at night, build a few online peer relationships, offer your domain knowledge to a marketplace like Mercor, and schedule slack time rather than waiting for spare time. The bigger forecasts about franchise-style openings from AI labs remain forecasts.
OpenAI's claimed Millennium Prize result used roughly 10,000 agents on a problem that was, as one entrepreneur on Moonshots put it, unusually easy to specify. The panel's argument: as the price of that kind of compute falls, the scarce skill becomes writing the target — and today's models, asked for ten ideas to cure cancer, produce a bad list.
On Moonshots, the panel read out Anthropic's most extreme economic scenario: roughly 15% annual GDP growth by 2030 alongside 17.9% unemployment among cognitive workers and labor's share of income falling from about 60% to 45%. Two investors called the growth number a lowball. Emad Mostaque said the model is missing the thing that breaks it — aggregate demand — and the panel fell into an argument about dividends, ownership and who pays the displaced.
On the Moonshots panel, Alex argued that China's AI loyalty perks are the start of "universal basic tokens" — redistributed access to machine intelligence — while another panelist countered that cheaper tokens will mean bigger bills, not free ones. Emad Mostaque pushed past access to ownership, proposing 100 million publicly underwritten robots owned by the people, and Alex said that sounded like communism.
On Moonshots, Dave describes a hire in his early twenties who runs his agents entirely by voice, and argues the goal is to manage swarms rather than lean on a single copilot. The panel's optimistic jobs roundup runs straight into Emad Mostaque's warning that today's hiring is "the turkey before Thanksgiving" and Alex's view that every profession, trades included, is only a question of sequencing.
On the Moonshots panel, Emad Mostaque presented what he calls a Champion: a locally owned intelligence utility, sold to residents at a symbolic $1 pre-money valuation before outside investors arrive, with 10% of the equity set aside in perpetuity for every child under 20. He borrows the structure from his account of how TSMC was capitalized, and argues that as the cost of intelligence falls, the money will sit in robots, deployment engineers and citizen agents. He calls it an idea, not an offering — and it leaves governance, dilution and distribution unsettled.
On The Diary of a CEO, the host describes a test he ran a couple of years ago: an episode of a founder-history show in which AI wrote the script and synthesized his voice, labelled as AI at the top. He says 40 to 50% of the audience reached the end of the hour. His conclusion is not that podcasting ends, but that the purely informational part of it is substitutable — and that coffee shops, workout classes, concerts and dinners gain a premium because people are there.
On The Diary of a CEO, investor David Friedberg argued that AI grows companies rather than shrinking payrolls, using a painter commanding five robots as his image. Pressed on entry-level hiring, Klarna's staffing numbers and a Stanford payroll study, he named the assumption he thinks could be wrong: that displaced people will see an opportunity and take it.
On the Moonshots podcast, Salim Ismail put up a slide from a Principal Financial Group employer survey to argue that the jobs apocalypse is not showing up in the data: 1.4% of surveyed businesses reported a staffing decrease they attributed to AI or automation. The survey's numbers are narrower than the headlines they were used against, and the panel spent the rest of the segment on what changing work actually looks like — including a book that took three years the first time and six months the third.
After losing an MIT recruit to a Princeton doctoral program, the Moonshots panel argued that the next two or three years are the last window in which humans steering fleets of AI agents will be unusually valuable — and that a PhD spends that window badly. Then the objection arrived from their own side of the table: everyone there holds the degrees they are telling young people to skip.