The AI Economy Institute is Microsoft’s flagship think tank dedicated to shaping an inclusive, trustworthy AI economy. We’re building a network of scholars and convening that network with our own subject matter experts to explore how AI is transforming work, education, and productivity.
Through workshops, convenings, and applied research, the AI Economy Institute is poised to become a leading voice in the global conversation on AI and economic transformation—ensuring that the benefits of AI are broadly shared and that the infrastructure for inclusive growth is built alongside the technology itself.
Listen to Brad Smith and Juan Lavista Ferres unpack the most striking insights from Microsoft’s AI Diffusion Report, which reveals how generative AI is spreading globally and what that means for countries embracing it.
Meet the newest cohort of AI Economy Institute senior fellows
Andrew Stokols, PhD
MIT/Singapore Management University, Singapore
Arun Sundararajan, PhD
New York University
Bashar Alhafni, PhD
Mohamed bin Zayed University of AI (MBZUAI), UAE
Bharat Chandar, PhD
Stanford University
Carolina Calvo, PhD
National Center for AI (CENIA), Chile
Carolina Lopez, PhD
World Bank
Frank Nagle, PhD
Massachusetts Institute of Technology
Inbal Talgam-Cohen, PhD
Tel Aviv University, Israel
Jason Jabbari, PhD
Washington University, St. Louis
Joseph Onderi Orero, PhD
Strathmore University, Kenya
Laura Nurski, PhD
Centre for European Policy Studies (CEPS), Belgium
In less than three years, more than 1.3 billion people have used AI tools, a rate of adoption faster than the internet, the personal computer, or even the smartphone.
14.1% adoption in the Global South
AI adoption is uneven around the world, with 24.7% in the Global North, 14.1% in the Global South, and the biggest gaps in lower-income countries.
In less than three years, more than 1.3 billion people have used AI tools, a rate of adoption faster than the internet, the personal computer, or even the smartphone.
14.1% adoption in the Global South
AI adoption is uneven around the world, with 24.7% in the Global North, 14.1% in the Global South, and the biggest gaps in lower-income countries.
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