Anthropic, the AI company behind the Claude chatbot, released a report in March examining the effect of artificial intelligence on employment, challenging earlier forecasts that AI would rapidly eliminate large numbers of jobs.

In 2024, co‑founder Dario Amodei said AI could eliminate half of entry‑level jobs within five years, while OpenAI’s Sam Altman later expressed doubt about such a scenario. The report notes that AI deployment remains limited, covering only about 33% of tasks in computer and math occupations despite theoretical potential to automate nearly all of them. Labor productivity growth has been slower than during the 1990s information technology boom, and the Nasdaq index, which had risen sharply due to AI‑related stocks, fell about 8% after its June peak.

The report found no systematic rise in unemployment among workers whose jobs are highly exposed to AI since late 2022. Researchers said that while AI can substitute for certain tasks, overall employment effects are modest because productivity gains in firms that adopt AI offset reduced demand in other occupations. Studies suggest that AI may raise the value of remaining tasks, benefiting high‑skill workers by freeing them from routine work or creating new opportunities for lower‑skill workers.

Critics note that AI still makes significant errors and cannot fully replicate human understanding of the physical world. Economic analyses point to high costs of AI datacenters, with energy demand projected to more than double by 2030, raising concerns about sustainability and public opposition; seven in ten Americans oppose building new datacenters locally.

Industry leaders remain optimistic about long‑term progress. Economist Daron Acemoglu and others argue that artificial general intelligence may still be some years away, while Elon Musk continues to envision a future where AI and robots handle all work, making employment optional. Historical parallels, such as the delayed productivity gains from early computers, suggest that AI’s impact may materialize gradually.

The technology landscape remains uncertain, with adoption rates accelerating but economic and energy challenges persisting. Whether AI will transform labor markets as originally projected remains an open question.