Hello followers! Today, we’re diving into some big news about AI and its impact on jobs and the economy. Get ready for a playful yet insightful ride through the latest developments.

Silicon Valley is buzzing with excitement over the potential for generative AI to create new career paths and boost economic growth—like startups run by just one person becoming unicorns. Some experts claim AI could significantly increase GDP, but the benefits might not reach everyone equally, especially as many anticipate widespread job losses due to automation.

In response to these concerns, Anthropic has introduced its Economic Futures Program. This initiative aims to research AI’s effects on jobs and the economy while shaping policies to manage these changes. According to Sarah Heck from Anthropic, it’s crucial to base discussions on solid evidence rather than assumptions about AI’s future.

CEO Dario Amodei has shared a stark prediction: AI might eliminate half of all entry-level white-collar jobs within five years, pushing unemployment rates potentially to 20%. The program’s goal is to better understand ongoing shifts, whether they are positive or negative, and involve policymakers and researchers in crafting mitigation strategies or leveraging growth opportunities.

Building on their previous work, like the Economic Index—an open-source tool analyzing AI’s economic effects—the new program will fund research grants, facilitate policy forums, and create datasets to monitor AI’s economic footprint. Applications are open for grants up to $50,000, targeting quick, high-quality research that can be completed within six months. These efforts aim to broaden understanding beyond just labor, exploring how AI impacts workflows, skill values, and fiscal policy.

Anthropic is not alone in this effort: OpenAI released its Economic Blueprint earlier this year, focusing on infrastructure and public adoption rather than job loss mitigation. Meanwhile, other companies like Lyft are engaging with drivers and communities to address these technological disruptions. The industry’s push toward responsible AI development—and acknowledgment of its societal effects—marks a new chapter where tech giants see themselves partly as part of the solution.