Israel Leads Global AI Usage Per Capita, Not Raw Volume, Anthropic Report Reveals

A recent social media post by Yam Peleg has sparked discussion regarding Israel's significant role in global artificial intelligence (AI) adoption, specifically citing its "RAW volume" of usage for Anthropic's AI models. Peleg stated, "> Israel’s AI adoption DWARFS the rest of the world. Below is the share of Anthropic’s entire global usage. Not per user. Not per capita. RAW volume." This assertion highlights a perceived dominance in AI compute power consumption.

However, data from Anthropic's September 2025 Economic Index report clarifies that while Israel demonstrates exceptional AI engagement, its leadership is primarily in per capita usage. The report indicates that Israel leads global per capita Claude usage with an Anthropic AI Usage Index (AUI) of 7, meaning its working-age population uses Claude seven times more than expected based on its population size. This places Israel significantly ahead of other technologically advanced nations like Singapore, Australia, and South Korea in per-capita terms.

Conversely, the same Anthropic report identifies the United States as having the highest total Claude usage globally, accounting for 21.6% of all interactions. India follows with 7.2%, then Brazil at 3.7%, and Japan and South Korea with similar shares. This distinction between per capita and raw volume usage is crucial for understanding the global AI landscape.

Israel's robust high-tech sector, strong digital infrastructure, and innovation-friendly policies are key factors contributing to its high per-capita AI adoption. The nation's focus on research and development positions it as a significant player in AI innovation, with businesses rapidly integrating AI tools into their operations, particularly in knowledge-intensive industries.

The uneven geographic adoption of AI, as detailed by Anthropic, raises questions about potential economic divergence. Countries with higher per-capita usage, often those with higher GDP per capita, tend to leverage AI more for diverse tasks and augmentation, while lower-adoption countries may focus more on automation and coding. This trend suggests that the benefits of AI could concentrate in already prosperous regions, potentially widening global economic disparities.