Anthropic launches program to study AI's economic impact

Anthropic has launched its Economic Futures Program to study AI’s effects on the global economy and labor markets.

The initiative will fund research on AI’s impact on employment, productivity, and economic value creation.

It includes grants of up to US$50,000, Claude API credits for researchers, and upcoming policy forums in Washington DC, and Europe.

Policy head Sarah Heck said the program aims to gather evidence to understand AI’s diverse economic impacts.

🔗 Source: TechCrunch

🧠 Food for thought

1️⃣ AI companies diverge on addressing labor market disruption

Anthropic’s approach to AI’s economic impact represents a significant shift in how tech companies handle potential disruption from their own technologies.

While Anthropic is directly studying job displacement with their Economic Futures Program, OpenAI’s economic blueprint focuses more on adoption and infrastructure, emphasizing “AI economic zones” and training pipelines rather than addressing potential job losses 1.

This divergence reflects different interpretations of corporate responsibility in the AI era, with Anthropic’s CEO Dario Amodei explicitly predicting that AI could eliminate half of entry-level white-collar jobs and spike unemployment to 20% within five years 2.

The contrast between these approaches highlights broader tensions in how the tech industry balances innovation with responsibility for societal impacts.

2️⃣ AI job impacts will be highly uneven across occupations and geographies

Research indicates AI will transform employment in complex, uneven ways rather than causing uniform job loss, making targeted policy responses essential.

Studies show ChatGPT-like AI could fully impact nearly 33% of occupations while partially affecting another 37%, leaving about 31% relatively unaffected, highlighting the varied vulnerability across different job types 3.

The geographic distribution of AI’s effects will likely be unequal, with advanced economies facing both higher immediate disruption risks and greater opportunities, while developing economies may experience delayed but potentially more severe impacts without adequate preparation 4.

This uneven impact pattern explains why Anthropic’s program emphasizes evidence-gathering and diverse policy discussions rather than assuming a single economic trajectory, acknowledging that while AI could increase UK GDP by 5-14% by 2050, the benefits won’t be automatically distributed equally 5.