OpenAI's Sam Altman told a tech conference that artificial intelligence will wipe out jobs that "were never real work to begin with" — a statement that's reigniting debates about what counts as meaningful labor in the age of automation.

Driving the news: Speaking at the DevDay conference, Altman argued that a farmer from centuries past wouldn't recognize modern office work as genuine labor — and that makes him "slightly less concerned" about AI-driven job displacement.

Why it matters: As AI tools rapidly automate white-collar tasks, Altman's comments touch a nerve about the value of knowledge work — and whether entire categories of jobs exist primarily to justify paychecks rather than create real value.

"A farmer does what people actually need — that's real work," Altman said, drawing a stark contrast with today's office environments filled with reports, approvals, and email chains.

The big picture: Altman's remarks echo anthropologist David Graeber's controversial 2018 book Bullshit Jobs, which argued that many modern professions provide no tangible benefit to society — existing mainly to keep people employed in an economy that doesn't know what else to do with them.

Picture this: You're in a meeting about scheduling another meeting, drafting a report no one will read, or filling out forms that exist only because someone else fills out forms. That's the kind of work Altman — and Graeber before him — suggest might not survive the AI revolution.

By the numbers: Research paints a more nuanced picture than Graeber's sweeping claims:

• Only 8% of workers across 47 countries explicitly call their jobs "socially useless," according to a 2019 cross-national study
• Another 17% express doubt about their work's social value
• In the U.S., approximately 19% of workers say they "rarely" or "never" feel their work is useful to society, based on the 2015 American Working Conditions Survey
• A 2015 UK poll found 37% said their job didn't "make a meaningful contribution to the world" — the figure Graeber often cited

Between the lines: The wide variation in these numbers reveals something important: How you ask the question dramatically changes the answer. "Socially useless" gets you single digits; "meaningful contribution to the world" pushes responses into the double digits.

Research from the Work, Employment & Society journal suggests feelings of meaninglessness often stem from management issues rather than the work itself — bad bosses and bureaucratic dysfunction, not the fundamental nature of the job.

What Altman's really saying: AI won't replace humans entirely, but it will eliminate "routine and formal tasks" — the reports, approvals, and correspondence that fill modern workdays without necessarily creating value.

In the spirit of Yankee ingenuity, he's betting these tools will free up time for more meaningful and creative work — the kind that requires human judgment, empathy, and innovation.

Reality check: Certain occupations show higher rates of perceived meaninglessness, including finance, sales, and some managerial and administrative roles, according to U.S. labor research. These are precisely the sectors where AI automation is advancing fastest.

What's next: As AI tools like ChatGPT and other automation technologies become more sophisticated, the question isn't just which jobs disappear — it's whether we'll use this transition to eliminate genuinely pointless work, or simply create new forms of busywork to keep people employed.

The bottom line: Altman's comments may sound callous, but they're forcing an overdue conversation about what we value in work — and whether the AI revolution might finally let us focus on labor that actually matters.