Anthropic Launches AI Economic Model, Projects Growth and Disruption Risks

Anthropic, the artificial intelligence company behind the Claude assistant, released an interactive economic model designed to project how AI could affect U.S. growth, jobs, and wages by 2030. The tool lets users plug in their own expectations for AI capability, adoption speed, and worker flexibility to see what the economy might look like under different scenarios.

The model breaks down jobs into bundles of tasks, simulates which tasks AI can automate or augment, and scales adoption across industries. It generates four broad scenarios: modest, substantial, extreme, and a business-as-usual baseline. In the modest scenario, AI adds a gentle boost — U.S. GDP reaches $34.1 trillion by 2030 (1.6% above baseline) with little impact on employment. In the substantial scenario, GDP rises to $36.3 trillion (8.3% higher), unemployment edges up to around 5%, and knowledge workers face some displacement. In the extreme scenario — where AI achieves rapid recursive self-improvement and near-universal adoption — GDP climbs to $44.4 trillion (32.4% above baseline), but unemployment could spike to historic levels, with nearly 14% of workers losing jobs to AI and less than half finding new ones.

Anthropic says the model is based on its technical report, “Economic Scenarios for Transformative AI” (Korinek et al., 2026). The company does not offer a single prediction; instead, it frames the outcomes as possibilities depending on how the technology evolves and spreads. “In the modest change scenario, AI is a small technology. The economy continues on a ‘normal’ path with AI making changes around the margins,” the company wrote in a blog post. “In the extreme scenario, AI transforms the economy. The macroeconomic consequences go well beyond any event in history, both in terms of magnitudes and in terms of the speed at which change happens.”

The company also surveyed more than 10,000 Americans about their expectations. The typical respondent’s answers implied outcomes close to the substantial change scenario: GDP 10% higher by 2030 than without AI, and an overall unemployment rate around 5%. About 10% of respondents held views consistent with the extreme scenario.

In an interview with NPR, Anthropic co-founder Jack Clark said he expects rapid technical progress but slower diffusion into the economy. “I think the technology will keep developing at a very, very fast and sustained rate but diffusion of the technology will likely be more challenging than people think,” Clark said. “So it will get really, really good. But it will make its way into the economy more slowly.”

Anton Korinek, Anthropic’s head of transformative AI economic studies, underscored the importance of adoption. “If the AI can do amazing things but nobody uses it, then it’s not going to have an economic impact,” he told NPR.

The model does not account for all risks. Gizmodo reported that Anthropic’s model does not factor in a potential AI investment bubble popping, and it does not include the possibility of human extinction — a scenario that Evan Hubinger, Anthropic’s alignment science lead, publicly estimated has a greater than 10% chance over the next decade. Hubinger posted on Twitter that “we do not yet have a plan to solve alignment for superintelligence and are not clearly on track to.”

In the extreme scenario, rapid GDP growth could generate significant additional tax revenue, Clark noted. “If you end up with this level of GDP growth, you have moves available to you as a [government] policymaker that are unimaginable today. Policymakers should get ready to spend,” he said.

For market participants, the model highlights a wide range of potential outcomes — from a nearly invisible AI impact to a transformation that reshapes entire industries, creates steep reallocation of workers, and concentrates wealth in capital rather than labor. The tool is available on Anthropic’s website for users to run their own projections.