India’s growing share of high-impact open source AI projects is emerging as the clearest proof of its developer strength, even as Stanford flags weak patent ownership and rising AI anxiety as the country scales adoption.
India’s AI rise is increasingly being written in open source, with the country now accounting for 5.2% of all open-source AI projects on GitHub with at least 10 stars, according to the Stanford AI Index 2026. More significantly, Stanford notes India’s contribution trajectory is still climbing, even as China’s comparable growth has slowed since 2019.
The data positions India’s open-source momentum as the strongest proof yet of its developer-led AI expansion, spanning collaborative tooling, model wrappers, libraries, agent frameworks, and public experimentation.
That ecosystem strength is reinforced by India ranking #1 globally in relative AI skill penetration, with AI skills appearing on LinkedIn profiles at three times the global average.
Enterprise adoption is adding further fuel. More than 80% of Indian employees report using AI regularly at work, while 85–90% say their organisations actively support AI strategy and literacy, creating a strong feedback loop between workplace use and open tooling contributions.
Yet the Stanford report also highlights a structural contradiction: India’s AI patent share remains just 0.4%, despite its fast-growing open-source and talent footprint. The country has also recorded the sharpest rise in AI nervousness globally, up 14% year-on-year, suggesting that familiarity with AI is increasing awareness of its risks at the same pace.
