Why AI Forecasts Fail to Materialize

July 6, 2026

Plus: Democrats shift tactics, the growing appeal of social-media bans, an influencer correspondent, and more…

Right/wrong: A year ago, many business leaders warned that AI would wipe out jobs. Recently, though, chief executives in tech have begun to sound more hopeful, according to Katherine Bindley of The Wall Street Journal, who cites OpenAI CEO Sam Altman’s earlier remark that “we’ve largely been correct about technological trends while somewhat mistaken about their social and economic effects.”

It remains unclear whether Altman, along with his competitor Dario Amodei of Anthropic—who recently shifted from suggesting that half of entry-level jobs could disappear to saying firms can “achieve the same outcomes with fewer resources”—are softening their predictions to avoid alarming people, acknowledging they were somewhat wrong, or because, over a year into the race, they were also trying to hype the stakes. Perhaps all of the above is true.

Naturally, disentangling these motives in retrospect will be tricky. Tech executives often fault AI for layoffs even when the real causes lie elsewhere.

This isn’t solely about efficiency, remarked Jack Dorsey to shareholders in February, noting he had halved his workforce at Block. He argued that “intelligence tools alter what it takes to design and operate a company…a much smaller team, equipped with the tools we’re building, can accomplish more and do it better.” Whether that’s true remains up for debate, or whether many workers simply weren’t delivering meaningful value. When Coinbase’s Brian Armstrong announced a similar downsizing, he framed it this way:

As for the AI leaders, MIT economist David Autor told the Journal that they may have realized the labor market isn’t collapsing as rapidly as they predicted. “They may have understood that claiming your groundbreaking product will destroy the economy was bad business,” he suggested. And executives at other companies that have deployed AI tools without building their own models frequently struggle to distinguish deployments that actually pay off from those that squander resources. Determining which roles can be automated successfully—and which cannot—demands trial and error, adjustments, and recalibration. It isn’t as obvious as some early forecasts suggested.

Thus far, the most dramatic shifts have touched coders the most. Entering the programming field has long been a sensible route for technically inclined individuals. AI advances are lifting some coders’ capabilities, and AI-assisted coding is elevating others to higher levels. Even a writer like me can attempt some basic coding now, albeit imperfectly. To a large extent, this field will become far more capable and efficient thanks to AI, but a portion of coding jobs may disappear, and a once-stable, well-paid sector could face volatility. (Personally, I worry less about broad economic disruption than about the culture clash among developers and the potential for heated exchanges in the online comment sections around these topics.)


Scenes from New York: Shark season is underway.


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Natalie Foster

I’m a political writer focused on making complex issues clear, accessible, and worth engaging with. From local dynamics to national debates, I aim to connect facts with context so readers can form their own informed views. I believe strong journalism should challenge, question, and open space for thoughtful discussion rather than amplify noise.