
Microsoft will invest $3 billion in India to expand AI and cloud computing capabilities

Microsoft plans to invest $3 billion in India to expand its artificial intelligence and Azure cloud computing services capabilities. CEO Satya Nadella announced at a conference in Bangalore that this investment will be the largest single expansion in India and aims to train 10 million AI talents by 2030. This move marks Microsoft's further development in the Indian market, responding to India's potential as a key growth market for U.S. tech companies
According to Zhitong Finance APP, Microsoft (MSFT.US) CEO Satya Nadella stated on Tuesday that Microsoft will invest approximately $3 billion to expand its artificial intelligence and Azure cloud computing services capacity in India.
The tech giant is the latest company to commit to investing in India. India is seen as a key growth market for U.S. tech companies, given its population of over 1.4 billion and low internet access costs.
In recent months, executives such as NVIDIA CEO Jensen Huang and Meta's Chief AI Scientist Yann LeCun have also visited India.
Nadella stated at a meeting in Bangalore, a city in southern India, that the $3 billion investment in India will be the country's "largest single expansion." He mentioned that by 2030, Microsoft will also train 10 million AI professionals in India.
During his visit to India early last year, Nadella announced that by 2025, the company would provide AI skills training opportunities for 2 million people in India, focusing on training individuals in small cities and rural areas.
On Monday, Nadella met with Indian Prime Minister Narendra Modi, where they discussed "technology, innovation, and artificial intelligence," as well as "Microsoft's ambitious expansion and investment plans in India."
Microsoft has invested billions of dollars globally to expand capacity to support AI infrastructure and data center networks.
The company announced last week a plan to invest approximately $80 billion in fiscal year 2025.
More than half of this investment will be in the United States, focusing on developing data centers to train AI models and deploy AI and cloud-based applications
