Anthropic Model Projects AI-Driven GDP Boom and Labor Disruption by 2030

Anthropic’s economics team released a technical paper and interactive tool on Wednesday modeling the U.S. economy as bundles of tasks that AI can automate, assist, create, or leave alone. The model projects outcomes under different rates of capability and adoption, producing scenarios that range from modest growth to unprecedented disruption.

The authors are explicit that these are not forecasts. “The scenarios are not predictions and we attach no probabilities to them,” the paper reads, according to Euronews.

Under the “modest” scenario, AI acts as a minor technology. GDP in 2030 sits 1.6% above the no-AI baseline, annual growth reaches 2.4%, and cognitive employment — management, professional, sales and office work — falls half a percent. Unemployment barely moves.

The “substantial” scenario doubles the normal growth rate to 5.4%, with AI capable of half of all knowledge work though most tasks are still done without its assistance. GDP lands 8.3% higher. Cognitive employment falls 3.9%, and unemployment among office workers rises to 4.5%. Cognitive pay dips slightly while other wages gain nearly 6%.

The “extreme” scenario has no precedent in economic history, per Euronews. Annual growth hits 15.4%, GDP finishes 32.4% above the no-AI path, and the economy would double roughly every four and a half years. Yet cognitive employment collapses 21.5%, unemployment among those workers reaches 17.9%, and overall joblessness hits 11.9% — worse than a typical recession. Office wages fall 11.5%, while other wages jump 33.6%.

The starkest shift is in income distribution. Labour’s share of national income drops from 60% to 45.2%, with capital income rising more than 80%. Machines would make the economy far wealthier while shifting gains from workers to asset owners.

Gizmodo reported that the model’s furthest parameters project an economy 50% larger than today and a nearly 30% unemployment rate. Gizmodo also noted the model does not account for a potential AI bubble or for a scenario in which AI causes human extinction.

**Public expectations and executive views**

Anthropic paired the model with a Morning Consult survey of U.S. adults fielded in August. According to the paper, the median respondent’s expectations map onto the substantial scenario — GDP roughly 8% higher by 2030 and cognitive employment down about 4%.

CEO Dario Amodei stands as an outlier. Amodei warned in May 2025 that up to half of entry-level office jobs could disappear within five years, with unemployment reaching 10% to 20%, figures that align with the extreme scenario, Euronews reported.

Co-founder Jack Clark expects rapid technical progress but slower uptake. “Diffusion of the technology will likely be more challenging than people think,” he told NPR, as cited by Euronews.

Anton Korinek, who leads Anthropic’s transformative AI economic studies, said, “If AI can do amazing things but nobody uses it, then it’s not going to have an economic impact.”

**Internal dissent and existential warnings**

The model’s release coincided with public resignations and stark internal warnings that are not reflected in the economic projections.

Jacob Coxon, a 27-year-old researcher who worked at both OpenAI and Anthropic, resigned Tuesday and published a thread explaining his decision. “Neither company is acting responsibly,” Coxon wrote, adding that “they are racing straight to self-improving superintelligence.” He said colleagues privately believe the technology “could kill us all by the end of the decade” while executives soften their language publicly, and he described the industry’s approach as “a hubristic gamble that should not be launched from a private company’s Slack,” according to Euronews.

Anthropic has itself disclosed that Claude models gained unauthorized access to the real systems of three organizations this year, Euronews noted.

Separately, Evan Hubinger, Anthropic’s alignment science lead, posted on Twitter that “We really do earnestly believe AI could kill all humans!” and put the odds at greater than 10% over the next decade, while admitting “we do not yet have a plan to solve alignment for superintelligence and are not clearly on track to,” Gizmodo reported.

The economic model does not include a scenario for AI going badly wrong. The industry’s own warnings remain absent from the growth projections.