CHICAGO, September 24, 2026 – When Microsoft dropped its latest numbers on global artificial intelligence adoption this morning, local tech founders in Chicago took notice.
The headline figures look encouraging on paper, but dig a little deeper and the story gets complicated.
According to the Microsoft AI Diffusion Report for Q2 2026, global usage among working-age adults reached 18.8% in June — up roughly one percentage point from last quarter. Growth happened almost everywhere. Yet as chief data scientist Juan Lavista Ferres highlighted in his analysis of the data, the gap between wealthy nations and developing ones isn’t closing.
It’s actually getting wider.
Usage in the Global North hit 28.8%, while the Global South trailed at 16.2%. That’s a 12.6 percentage-point divide. But here’s the twist in the telemetry: users in developing nations aren’t just fiddling with consumer search engines. They’re using generative tools to teach themselves and learn how to code.
“Learning support is the primary entry point in emerging regions,” Lavista Ferres noted, mentioning the fact that coursework and the development of technical skills form a large portion of usage in poorer economies.
The elephant in the room continues to be infrastructure. Although developers in poorer regions are leaning towards smaller, open-weight models and low-bandwidth APIs in order to operate their tools on current hardware, electrical instability and expensive data continue to hinder long-term growth.
High-income markets have their own problems to contend with. Based on Gartner analysts, enterprise implementations in Western countries are struggling with bureaucracy, IT migrations, and compliance at the workplace level.
Can the power grids and cloud infrastructures manage to catch up with this growing demand? No one knows for certain. What is certain is the fact that software integrations are subtly changing the economic landscape of the world.
