India seeks over $200b in AI infrastructure investment by 2028

India aims to attract over US$200 billion in AI infrastructure investment by 2028, according to government plans announced at the AI Impact Summit in New Delhi.

The Indian government intends to offer tax incentives, venture capital, and policy support to draw global AI investment, including data centers, chips, and supporting systems.

The country already has commitments from US tech giants such as Google, Microsoft, and Amazon, which have pledged around US$70 billion for AI and cloud infrastructure.

Additionally, India expects to channel about US$17 billion into AI applications and deep tech beyond infrastructure.

The government plans to expand its shared compute capacity by adding 20,000 GPUs, building on an existing 38,000 units.

Challenges include ensuring reliable power and water supply for data centers, though India’s energy mix includes a significant share of clean energy.

The initiative aims to position India as a key player in global AI development.

🔗 Source: TechCrunch

🧠 Food for thought

Implications, context, and why it matters.

Specific financial policies underpin India’s AI infrastructure push

The plan rests on financial policies, including a tax holiday until 2047 for foreign companies that provide cloud services to customers globally using data centre services from India, with services to Indian customers provided through an Indian reseller entity 1.
To drive work beyond data centres, the government is backing a ₹100 billion (about US$1.1 billion) government-backed venture program for high-risk areas such as AI and advanced manufacturing 2.
For established IT services firms, the government simplified tax compliance by raising the “safe harbour” turnover threshold from Rs. 300 crore to Rs. 2,000 crore, plus other safe harbour changes for IT and IT-enabled services 1.

India is positioning its AI push as end-to-end, spanning infrastructure, models and chips

A report calls India “compute-poor,” with under 3% of global high-end compute despite strong talent and data advantages 3.
The initiative targets a sovereign AI ecosystem that includes foundational AI models trained on Indian languages and local contexts, linked to India’s digital public infrastructure such as Aadhaar (the national digital identity system) and UPI (the Unified Payments Interface real-time payments network) 4.
The broader goal is to move past a “back-office” image and build an end-to-end semiconductor and AI hub that spans design, testing, validation and manufacturing 5.