Microsoft is on pace to invest $50 billion by the end of the decade to expand AI infrastructure, skills, and localized capabilities across countries in the Global South.
The commitment, announced at the India AI Impact Summit in New Delhi, is framed as a response to widening adoption gaps. Microsoft’s research found AI usage reached 24.7% in the Global North in the second half of 2025, compared with 14.1% in the Global South.
The tech giant argued that AI is spreading rapidly, but uneven access to electricity, connectivity, data centers, and digital skills is limiting uptake and could deepen existing economic divides without coordinated action.
Infrastructure gaps shape adoption
Infrastructure anchors the plan. Over the last fiscal year, Microsoft invested more than $8 billion in data center infrastructure serving the Global South, adding capacity in India, Mexico, and countries across Africa, South America, Southeast Asia, and the Middle East.
Connectivity is the other baseline. Microsoft is pursuing a goal of extending internet access to 250 million people in unserved and underserved communities across the Global South, including 100 million people in Africa. As of November, partnerships with organizations such as Cassava Technologies and Mawingu had helped reach 117 million people across Africa.
Microsoft’s AI Diffusion Report linked these factors directly to adoption, finding that AI usage rises with stronger electricity access, internet penetration, and available compute capacity — constraints that remain acute in many parts of Sub-Saharan Africa.
Skills investment to translate access into usage
The investment also targets people and institutions expected to turn infrastructure into day-to-day AI use. Microsoft invested more than $2 billion in the last fiscal year in cloud, AI, and digital technology programs for schools and nonprofits across the Global South.
Through Microsoft Elevate, launched in July, the company committed to helping 20 million people earn AI credentials by 2028. In India, it set a goal in December to equip 20 million people with AI skills by 2030, and last month it announced Elevate for Educators, a program designed to strengthen the skills of 2 million teachers across more than 200,000 schools and institutions.
Language barriers and local relevance
Microsoft also casts language as a practical barrier to AI adoption, particularly in contexts where digitally underrepresented languages dominate daily life. The company said AI systems often perform less consistently outside English, reducing their usefulness in many local settings.
To address this, Microsoft is expanding investment in multilingual and multicultural AI capabilities. That includes LINGUA Africa, a $5.5 million open call led by the Masakhane African Languages Hub, Microsoft’s AI for Good Lab, and the Gates Foundation, with additional support from the UK government, aimed at responsibly sourced language data and model development for African languages.
Measuring progress to guide capital
To steer future investment and policy decisions, Microsoft plans to expand research and data sharing on where AI is being adopted. Building on its AI Diffusion Reports and GitHub data, it is contributing to the forthcoming Global AI Adoption Index being developed by the World Bank.
The AI Diffusion Report also defines three benchmarks — Frontier, Infrastructure, and Diffusion — intended to measure where AI is developed, supported, and actively used. Microsoft positioned measurement as a way to target resources more effectively, arguing that narrowing the AI divide will require sustained collaboration among governments, the private sector, and nonprofits to ensure AI expands opportunity rather than compounds inequality.
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