The Microsoft Global AI Adoption Report 2025 points out that global AI adoption is rising. According to the report, 16.3% of the global population using generative AI in the second half of 2025. This translates to about one in six people worldwide now using AI tools. These tools are used for work, learning, or problem solving. At the same time, the AI adoption divide between the Global North and the Global South is also widening. In this regard, 24.7% of the Global North has adopted AI technologies. But only 14.1% of the Global South has done so. This disparity grew from 9.8 to 10.6 percentage points in 2025.
AI Adoption
The countries leading in AI adoption are UAE (64%), followed by Singapore (60.9%), Norway (46.4%), France (44%), and the US (28.3%). In the AI adoption dataset, AI adoption in Nepal is 13%. In other South Asian countries, India has a 15.7% AI adoption rate, followed by Pakistan (10.3%), Bangladesh (7.1%), as well as Sri Lanka (6.6%). The countries with the highest AI adoption rates have invested heavily in digital infrastructure. The other sectors of their AI investment include AI education and skills, as well as government adoption policies. The US remains strong in AI infrastructure and frontier model development. But its leadership has not yet translated into the highest domestic adoption. It ranks fell from 23rd to 24th place globally in AI usage. In the report, South Korea had the largest growth in AI adoption. It climbed from 25th to 18th place in which its AI usage rose to 30.7%. According to the report, South Korea’s increasing AI usage is driven by strong government AI policies, better Korean-language AI models, as well as viral consumer AI trends.
AI policies are Vital
The report identifies that AI adoption increases significantly when AI models are developed in local languages. Furthermore, the report explains that countries with strong AI adoption have typically implemented national AI strategies. These countries have formulated regulatory sandboxes, as well as AI talent visa programs. These countries have also embedded AI in the public sector to support broader AI adoption. The rise of open-source AI platforms like DeepSeek has gained traction. Its gained traction by offering free access and open-source model weights while targeting underserved markets.
Access to AI
The diffusion of AI reflects technological competition between the US and China in emerging markets and the Global South. The report suggests that access determines AI adoption. It is not only a question of relying on high-quality models, but in a very large extent, it is also a question of affordability, accessibility as well as support for local languages. In addition to this, the report also underlines the significance of the political and economic environment for the wider adoption of AI.
Conclusion
The Microsoft Global AI Adoption Report provides valuable insights into the global spread of generative AI. This report particularly concentrated on the rise in adoption and the widening divide between advanced and developing economies. However, its findings should be interpreted cautiously due to methodological limitations including platform biases. Further the report’s findings should not be generalized due to the complexity of measuring meaningful AI adoption. More broadly, the report highlights that the future of AI diffusion will be shaped not only by technological innovation but also by physical and policy areas such as infrastructure, governance as well as language accessibility. The other key aspects like affordability, and geopolitical competition is equally important in AI diffusion process. Therefore, ensuring more equitable access to AI technologies will definitely remain one of the most critical policy challenges in the coming decade.
