Global AI Brain Race 2026: India secured sixth position

Updated: 23 Feb 2026

2 Min Read

In the Global AI Brain Race Report 2026, the United States secured the top position, followed by China and Singapore, while India is at sixth place.

This report evaluates more than 100 countries using a structured framework that measures AI R&D, infrastructure, economic integration, talent readiness, governance, responsible AI practices, public opinion and academic strength.
The results show a clear trend that countries building integrated AI ecosystems are leading the global artificial intelligence race.
The United States is at first place with a final score of 82 out of 100, leading in AI R&D (19.15 out of 27.78), economic integration (22.22 out of 22.22) and infrastructure (16.21 out of 16.67).
China is at second place with a final score of 59 out of 100, supported by the world’s largest AI education base, including 107 top AI universities and strong R&D (17.22 out of 27.78).
Singapore is at third place with a score of 37 out of 100, despite having only two AI universities. This is due to academic quality, average subject score 90.50 and global score 82.00, along with strong talent readiness (9.31 out of 16.67).

India’s rank in the Global AI Brain Race 2026

India is at sixth place with a score of 32 out of 100, driven by strong talent (9.12 out of 16.67), but weak due to infrastructure (0.65 out of 16.67) and governance (0.11 out of 5.56).
It states that the pattern is clear -- countries that combine research, infrastructure, governance and education into an integrated system lead the AI leadership race.
“This is not just a ranking; it is a forward-looking structural analysis. Our results show that the countries leading today are not only ahead in research output. They are building integrated AI ecosystems across infrastructure, governance, talent and economic adoption.”

It is global competition among countries to stay ahead in artificial intelligence innovation, infrastructure and policy frameworks. Governments around the world are investing heavily in AI R&D, semiconductor manufacturing, data infrastructure and digital skill training.