According to the source, Anthropic’s Economics team built a model of how AI might affect jobs, growth and unemployment in the United States in coming years. The model is based on the technical report Economic Scenarios for Transformative AI (Korinek et al., 2026) and highlights three distinct scenarios: modest, substantial and extreme. In the modest scenario, AI’s impact is comparable to that of the internet, delivering real economic gains that remain within historical norms and arrive gradually. The substantial scenario assumes AI can perform half of all knowledge‑work tasks by 2030, with most of that work done autonomously but not universally adopted; under this path the economy grows at twice its normal rate, wages for knowledge workers stay flat while other workers see gains. The extreme scenario posits that AI becomes more productive than humans at the vast majority of knowledge‑work tasks, performs nearly all of them autonomously and creates essentially no new knowledge tasks for people. This outcome would likely require recursively self‑improving AI adopted quickly for knowledge work, leading to annual GDP growth rates of 15 % and a doubling of the economy every 4.5 years; society would be far richer, but many fewer workers would hold knowledge‑work jobs and unemployment would rise beyond typical recessionary levels. The source explains that the model treats every job as a bundle of tasks, noting that AI can augment, automate, leave unchanged or create new tasks. It illustrates this with a nurse’s day: checking patients, drawing blood, triaging, charting vitals and ordering supplies—tasks drawn from the US Department of Labor’s O*NET taxonomy. As AI assists with some tasks, the nurse can spend more time talking with patients and helping them understand diagnoses, increasing productivity. The aggregate of millions of such task instances across the country forms the US economy, which exceeded $30 trillion of value in the past year. To gauge public expectations, the source reports that in August Anthropic surveyed more than 10,000 Americans about present and future AI capabilities, adoption and the ease of finding new work if they need to change occupations. The typical respondent’s answers imply outcomes close to the “substantial change” scenario: GDP would be 10 % higher by 2030 than without AI and the overall unemployment rate would be around 5 %. Around 10 % of respondents aligned with the extreme scenario. The source concludes that by exploring these scenarios, individuals and policymakers can better anticipate how AI might shape the economy and take steps to ensure the transition benefits society, including workers.
