India’s AI global profile is increasing, but the interval remains, Stanford’s AI index reports. Mint

India is rapidly emerging as a prominent player in the Global Artificial Intelligence (AI) ecosystem. It is watching a strong growth in both its AI workforce and AI is being widely used. However, it traces in areas such as private investment, patent output, research paper quotation and world-class recognized AI model, according to the eight editions of the Human-Sentrade Artificial Intelligence (AI) Index 2025 report of Stanford University released on Monday.

In 2024, India became the second largest contributor to the AI-related GITHUB projects, 19.9% ​​at 23.4% behind accounting-America for global contribution at 23.4% and slightly ahead of Europe at 19.5%. This reflects India’s growing influence in the Open-SOS AI community, the leading driver of global innovation.

AI workforce is also shifting to India’s favor. The country saw the highest year-by-year growth of 33.4%in AI, followed by Brazil (30.8%) and Saudi Arabia (28.7%). In the long term, from 2015 to 2024, India also finished second at the AI ​​skill entry, with a score of 2.5, just behind the US (2.6), saying that AI skills among professionals in India are more focused than doubled as a global average.

However, the report states that LinkedIn-based hiring data may reduce countries like India, where platform uses vary and do not cover full labor force.

On the AI ​​investment front, governments worldwide are putting resources in the AI ​​infrastructure. According to the report, Canada announced a $ 2.4 billion AI infrastructure package, France committed $ 117 billion, China launched a $ 47.5 billion fund for a semiconductor, and Saudi Arabia’s project transdance includes an investment of $ 100 billion.

The report accepted the $ 1.25 billion India Mission of the Government of India launched in March 2024, which aims to manufacture AI infrastructure with more than 10,000 GPUs, to create a national non-individual data platform, and support domestic AI models and startups. This initiative also emphasizes moral AI and widespread access, including expanding AI labs beyond India’s major tech hub.

The comments of global technical leaders support these numbers. For example, in January this January, Microsoft CEO Satya Nadella announced an investment of $ 3 billion to promote AI and Cloud Infrastructure in India. He committed to train 10 million people in AI skills across the country by 2030, outlining Microsoft’s long -term bets on India’s AI capacity.

The following month, when OpenEE CEO Sam Altman visited India, he emphasized the growing importance of the country as the second largest artificial intelligence (AI) market after the US. He said, “Users here have been three times in the previous year. Innovation is happening, people who are building (in India), are really incredible,” he said, OpenaiI is eager to expand its appearance. “I think (AI program of India) is a great scheme,” Altman said during his visit.

Chin in Ai Kavach

Despite these progress, India falls behind in some areas. In 2023, it was responsible for only 9.2% of the global AI research publications, while 23.2% from China and 15.2% from Europe. In the responsible AI (RAI) research, India contributed only 42 publications in 2024, lower than the US (669) and China (268).

In addition, in the context of private AI investment since 2013, India has attracted $ 11.29 billion, behind major players such as US ($ 470.9 billion), China ($ 119.3 billion), and UK ($ 28.2 billion). The number of newly funded AI startups as compared to the US (1,073), UK (116), and China (98) also shows the difference in which India launches 74 new AI companies.

One may remember that India was fourth in Stanford’s Global Vibrani Tool 2024 (released in November 2024), which confirmed the US as a global leader in AI ahead of China and UK. The US has consistently improved nations in the quality of AI research, machine learning models, private capital investment and AI-related employment generation quality. It invested $ 67.2 billion at AI Private Capital in 2023, which led to a significant increase of $ 7.8 billion in China.

The US also led to developing remarkable machine learning models (61 compared to China’s 15) and was the most AI-related merger, acquisition and startup activity. Additionally, it produced the most responsible AI research, highlighting its commitment to moral innovation.

China placed second place, but is far behind America. While it goes into a patent related to AI, China lags behind in other important matrix, indicating the growing gap between the two countries. This change shows that the US is getting away from its closest contestant, AI strengthens its dominance in development and application.

With the UK finishing third, the findings outline the significant importance of continuous investment and innovation to remain competitive in the global AI race.

Consider this. In 2024, US Private AI investment increased to $ 109.1 billion – according to the AI ​​index, China’s $ 9.3 billion and UK $ 4.5 billion 12 times. Generic AI (Jenai) particularly watched strong pace, which attracts $ 33.9 billion globally in private investment – increased by 2023 to 18.7%.

In addition, the US still produces the top AI model, even China is shutting down the performance difference (with models such as Dipsac, Quven and Manus). In addition, in 2024, US-based institutions produced 15 notable AI models compared to 15 from China and three from Europe.

While the US maintains its gains in volume, the Chinese model has shut down the quality gap rapidly: in 2023 in 2023, from double -points to dual points, the performance difference on the major benchmarks on the major benchmark in 2024 near the Samata, according to the report, the growth of the model is rapidly global, with a remarkable launch from the Middle East, Latin America and South East Asia.

According to the Vibric tool, India is doing well in AI Research and Development (R&D), and in areas such as Journal and Conference Publication, Uddha, Jethb Projects, AI skill penetration, hiring and talent concentration. The country also ranks high in funding for AI startup and AI shows strong interest in innovation.

However, India is behind the top three countries in the policy, governance and infrastructure, reduces its overall score. This success reflects a rich technical ecosystem run by the grassroots skill development and mentorship rather than the government initiative.

As India continues to invest in infrastructure, talent and open source development, it is expected that this initiative will help expand its role in the global AI landscape.