TL;DR
Two years ago, Altman said AI would eliminate 300 million white-collar jobs. In May 2026, he said he's "glad I was wrong." Enterprises burned billions only to find AI can be more expensive than humans, and developers weren't eliminated — instead, they became the quality gatekeepers of AI output.
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Timeline: From "Doom" to "Walking It Back"
| Date | Event | |------|-------| | 2023-03 | Goldman Sachs report: AI could eliminate 300 million jobs | | 2024-06 | Altman warns entry-level customer service jobs will "completely disappear" | | 2025-06 | Amodei predicts AI will eliminate 50% of white-collar work | | 2026-03 | Altman predicts 30-40% of jobs will be replaced | | 2026-05-26 | Altman walks back at Commonwealth Bank of Australia event: he was "pretty wrong" | | 2026-05-26 | Amodei pivots to "augmentation": after 90% automation, the remaining 10% expands to 100% | | 2026-05-29 | OpenAI submits IPO application, targeting a $1 trillion valuation |
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Altman's Own Words: "Glad I Was Wrong"
> "I thought there would have been more impact on entry-level white-collar jobs being eliminated by now than has actually happened." > — Sam Altman, 2026-05-26, Commonwealth Bank of Australia
He also shared a telling detail: he tried handing all his Slack and email over to AI, but quickly switched back to handling them manually — "people want to hear from real humans."
Quite ironic: the person building AI doesn't want to be replied to by AI.
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Enterprise ROI Flops: AI More Expensive Than People
| Company | Investment / Outcome | Data | |---------|----------------------|------| | Microsoft | Canceled most Claude Code licenses | Costs unsustainable | | Uber | $3.4B AI budget, burned through in 4 months | $500–$2,000 per engineer per month | | Goldman Sachs | Actual US job losses averaging ~11,000/month | Far below predictions | | General Motors | AI investments hard to tie to actual consumer features | Uber's COO directly questioned the rationale |
Core finding: AI tools are often more expensive than the humans they were meant to replace.
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Linear CEO's Observation: No 10-100x Revenue Growth
> "Apart from the AI model labs themselves, the industry has not seen the corresponding 10-100x revenue growth." > — Linear CEO
From his own experience: AI is very effective for early-stage solution exploration, but actual implementation still requires substantial human decision-making. Developers aren't being eliminated — their working mode has changed, from "writing from scratch" to "making judgment calls."
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The IPO Logic Behind the Narrative Shift
This is the most important context for the reversal:
| Company | IPO Move | Valuation Target | |---------|----------|------------------| | OpenAI | Filed confidential IPO in May | $1 trillion | | Anthropic | Filed confidential IPO in May | $1 trillion |
The logic: The "AI destroys jobs" narrative is bad for an IPO. "AI augments jobs" is much easier for institutional and retail investors to buy into. Altman's and Amodei's reversals aren't just cognitive corrections — they're trillion-dollar narrative management.
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Three Deeper Signals
1. The "Human Part" Is Bigger Than Expected
Altman's Slack experiment shows: even in pure text interactions, users care about "whether there's a real person on the other end." This is especially true in customer service, sales, and management communication.2. Cost Structure Mismatch
AI inference costs are priced per token, while human employees earn fixed salaries. For high-frequency, repetitive, short-conversation tasks, AI may be cheaper; but for complex, long-threaded tasks requiring context retention, AI is actually more expensive.3. Developer Roles Transform Rather Than Disappear
From "writing code" to "making architectural decisions." AI can generate code, but choosing which solution to use, judging business priorities, and coordinating team communication — these matter more than ever.---
Takeaways for Developers
1. Don't panic: What gets eliminated is "developers who can't use AI," not developers themselves 2. Judgment is worth more than lines of code: In the AI era, architectural decisions, business understanding, and cross-team communication rise in value 3. AI is a tool, not a replacement: Early exploration gets more efficient, but implementation still needs human oversight
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One-Line Summary
> AI didn't eliminate developers — it forced them to evolve from "craftsmen" into "decision-makers."
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Sources: The PrimeTime "Maybe we were wrong" (2026-05-29), CryptoBriefing, Fortune, explainx.ai, Briefs Finance