Uneven AI Adoption Trends Revealed by Anthropic Economic Index

Anthropic's report highlights stark disparities in global AI adoption across regions and enterprises.

    Key details

  • • AI usage globally has doubled over the last two years.
  • • North America and Western Europe lead in AI adoption.
  • • Regions like Africa show slower integration.
  • • Larger companies adopt AI more effectively than smaller enterprises.

The Anthropic Economic Index has unveiled significant disparities in AI adoption patterns across various geographies and enterprises, revealing a growing divide between regions that are capitalizing on AI advancements and those lagging behind. Published on September 15, 2025, the report indicates that while AI usage globally has doubled over the last two years, the benefits and application of this technology are not geographically uniform.

Regions such as North America and Western Europe continue to lead in AI adoption, while areas in Africa and parts of South America exhibit markedly slower integration into their industries. This uneven landscape suggests that economic factors, such as technological infrastructure and investment capacities, play crucial roles in how quickly regions can embrace AI technologies. For instance, companies that are early adopters of AI technologies are often from sectors known for their high-tech investments, like finance and healthcare, compared to lower adoption rates in more traditional industries.

The index also highlights enterprise-level disparities, where larger corporations typically leverage AI more effectively than small or medium-sized enterprises. According to the report, "The disparity in AI integration raises concerns about an economic divide that could widen if urgent attention is not paid to equipping all enterprises with AI capabilities." This indicates not only a need for strategic investments but also targeted support to foster more equitable AI usage across all sectors.

As AI technologies continue to evolve, the implications of this uneven adoption may shape economic policies and investment strategies aimed at fostering broader and more inclusive AI integration in the global market.