AI will surpass humans by 2030: Sam Altman
NEW YORK, UNITED STATES — OpenAI CEO Sam Altman has put a date on artificial general intelligence — predicting that by 2030, AI systems will perform tasks that humans cannot, and that the transition to what he calls superintelligence may be visible within two years, Fortune reports.
The 2030 threshold — and what comes next
“I would certainly say that by the end of this decade, by 2030, if we don’t have extraordinarily capable models that do things that we ourselves cannot do, I’d be very surprised,” said Sam Altman, CEO of OpenAI — putting a date on a milestone that Anthropic CEO Dario Amodei has placed even earlier, predicting AI will surpass humans in almost everything by 2027.
Altman’s 30-to-40% forecast — the share of labor market tasks AI will handle in the near future — is the first time OpenAI’s CEO has put a quantity on what has been described only in qualitative terms.
Superintelligence defined — and why 2030 matters for the workforce
“In another couple of years, it will become very plausible for AI to make, for example, scientific discoveries that humans cannot make on their own,” Altman said. “To me, that’ll start to feel like something we could properly call superintelligence.”
ChatGPT is now the fifth most-visited website globally — a scale signal that the AI capability Altman is describing is not speculative infrastructure but an already-deployed system used at mass-market volume.
The Stargate project — an 800-acre data center complex in Abilene, Texas, backed by OpenAI, Oracle, and SoftBank — is the AI infrastructure Altman is building toward a 2030 he considers achievable, not aspirational.
Altman estimated AI will handle 30% to 40% of economic tasks ‘in the not very distant future’ — a scale estimate that, if accurate, would affect every sector that currently relies on human cognitive work.
The superintelligence question is no longer whether AI will surpass human capability — both Altman and Amodei say it will — but which workflows, roles, and industries get restructured first, and at what speed.
For BPO and offshore staffing providers, Altman’s 2030 timeline is the clearest signal yet that AI disruption is not a future scenario to monitor but a current capability curve to position against.
The 30-to-40% economic task estimate is the number BPO buyers need to hold — it maps the exact volume of work that AI will absorb from internal teams. Offshore providers that build AI-collaborative delivery models now will be positioned as the human layer in the 60-to-70% of tasks Altman’s forecast leaves for people to do.
