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A few weeks back Sam Altman sat down with the chief executive of one of Australia's largest banks and quietly walked back the warning that had followed him for a year, telling the room he was pretty wrong to expect AI to have gutted entry-level office work by now. The timing is the part worth noticing, because OpenAI is reportedly preparing a stock market debut that would value it near one trillion dollars.
A calmer story about jobs happens to be a much easier story to take to public-market investors, and that overlap is the thread running through everything below.
Let's get into it.
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TODAY'S DEEP DIVE
Altman Tells a Sydney Banking Conference He Was Pretty Wrong About AI and Jobs
On 26 May 2026, speaking by video link to a Commonwealth Bank of Australia conference in an interview with chief executive Matt Comyn, Altman said OpenAI had been roughly right about the technology since ChatGPT arrived in 2022, but pretty wrong about its social and economic consequences. He said he had expected far more entry-level white-collar roles to have disappeared by this point, and that he was delighted to have got that wrong.
A year earlier he had told his brother on a podcast that a great many jobs would go away, a line that frightened a generation of graduates and office workers. Now he frames the displacement he predicted as something that simply has not shown up.
He did not retract the fear entirely. He acknowledged he had taken criticism for stoking alarm, and allowed that the risk he described may still arrive, only on a different timeline and in a different shape than people assumed. That hedge matters, because it lets him soften the headline without committing to the idea that the danger has passed.
Why He Changed His Mind
Part of the shift traces to a personal experiment. Altman said he tried handing his Slack messages and email replies to AI, with some responses labelled so colleagues knew they were reading his assistant rather than him, and he eventually went back to answering the important ones himself. He concluded that people care about their interactions with other people in a way that resists automation, and that the human core of a job is harder to hand off than he once believed. From that small test he drew a large conclusion, which is that the jobs picture will look very different from the one he had sketched.
He is not the only AI chief revising the script. Dario Amodei of Anthropic, who once warned that AI could wipe out half of all white-collar jobs, has reframed automation as a multiplier rather than a destroyer, arguing that if a machine handles most of a role, the remaining slice expands to fill the time and lifts output. David Solomon of Goldman Sachs never bought the apocalypse in the first place, and has pointed to a century of American job creation through electrification and the internet as reason to expect the pattern to hold once more.
What The Data Actually Shows
The numbers refuse to settle the argument cleanly. A running tally kept by Goldman Sachs suggests AI is still removing around 11,000 US jobs a month, down from an earlier estimate near 16,000, with cumulative AI-attributed cuts reaching about 136,000 over three years.
Tech layoffs crossed 115,000 through May 2026, already closing in on the 124,000 logged across all of 2025, with Meta, Amazon and others naming the technology when they trimmed staff.
Against that, the broader labour data has stayed oddly calm. Researchers who have followed the effect on American workers since ChatGPT launched found no meaningful change in the mix of occupations or in how long people stay out of work, even among the roles most exposed to AI.
The honest reading is that the aggregate has held up while specific corners, particularly the bottom rung where graduates start their careers, are taking real damage. Both things can be true at the same time, which is exactly why a tidy yes or no answer keeps slipping away from everyone who reaches for it.
His Own Company Argues The Opposite
The hardest part of Altman's reassurance to square is a document his own company published in April 2026. Titled Industrial Policy for the Intelligence Age, the thirteen-page paper urges governments to tax automated labour, to build a national wealth fund seeded partly by AI firms so that ordinary citizens share in the gains, and to run pilots of a thirty-two hour working week as a so-called efficiency dividend.
It also proposes automatic safety nets that switch on when displacement metrics cross preset thresholds, then taper off once conditions stabilise. None of that reads like the work of a company expecting AI to leave the labour market untouched. It reads like a blueprint for cushioning a serious shock, written by the same firm whose chief executive now says the shock never came.
The IPO Sitting Behind It All
The backdrop explains a great deal. OpenAI is reportedly preparing a confidential filing aimed at a public listing in the final quarter of 2026, at a valuation near one trillion dollars, with Goldman Sachs and Morgan Stanley lined up to lead the deal.
Anthropic is reported to be moving toward a listing on a similar scale. A founder talking up mass unemployment is a founder handing every prospective investor a reason to worry about regulation, public backlash and a shrinking base of customers who can afford the product.
A founder who says the workforce is adapting and the fear was overdone is selling a far smoother ride. Whether the new optimism reflects fresh evidence or the gravitational pull of a one trillion dollar offering is a question only Altman can answer, and the truthful answer probably holds a little of both.
The Bottom Line
Altman may well be right that a sudden, overnight collapse of work was always a caricature. But in the same stretch of weeks that he called it off, his company was still lobbying for robot taxes and a shorter week, and a Wall Street tally was still counting AI-linked cuts in the tens of thousands.
Read his reassurance as one input rather than a verdict, and notice that it lands precisely when OpenAI needs the public to feel calm about what it is building. The steadier move for you is to keep building your own fluency with these tools, because the people on the right side of that line tend to do well no matter which forecast turns out to be true.
AI PROMPT OF THE DAY
Category: Career Strategy
"Act as a candid career strategist. My role is [job title] in [industry], and my main responsibilities are [list three or four core tasks]. Map which of those tasks current AI tools can already do well, which they can partly assist with, and which still genuinely need a human, then give me a ninety day plan to shift my time toward the work AI cannot yet replace, including three specific skills to build and one project that would prove them."
ONE LAST THING
The useful question is not whether one executive feels optimistic about jobs, it is why the mood music changed at the exact moment the money got serious. Altman may be right that the collapse was overstated, and his company's policy proposals may simply be prudent planning rather than a quiet confession. But when the person building the technology and the person raising money on it are the same person, the cheerful forecast earns a second read. Hit reply, I read every response.
See you tomorrow.
— Vivek
P.S. If you know a graduate or a career-switcher trying to read the AI job market, forward this so they can plan around the noise instead of the headlines. They can subscribe at https://savvymonk.beehiiv.com/