India's Zero-Tax AI Policy Through 2047: What It Means for GPU Infrastructure
India's Union Budget 2026-27 introduced something unprecedented: a complete tax holiday through 2047 for foreign companies providing cloud services globally from Indian data centers, plus a 15% safe harbour rate for domestic operators.
This isn't a typical two-year incentive. It's a 21-year commitment that fundamentally changes the economics of running AI workloads in India.
What the policy includes
The headline is the tax exemption, but the full package is broader:
- Zero taxes through 2047 for qualifying foreign cloud and AI operations
- 15% safe harbour for domestic data center operators
- Infrastructure status for data centers, unlocking cheaper financing
- Streamlined approvals for land and power allocation
Why this matters for AI teams
For organizations evaluating where to run large-scale AI workloads, total cost of ownership is the deciding factor. India's policy removes one of the biggest line items — taxes — while the country's fundamentals already offer advantages on the others:
- Electricity costs 40-60% lower than U.S. data center markets
- Skilled engineering talent for operations and support
- Massive renewable energy build-out — India added 44.5 GW of renewables in 2025 alone, reaching 254 GW total
The investment wave
The policy is already driving results. India is targeting over $200 billion in AI infrastructure investment by 2028:
- Google: $15 billion for its first Indian AI hub
- Microsoft: $17.5 billion in data center investment
- Amazon: Up to $35 billion by 2030
- Reliance Industries: $110 billion over seven years for AI data centers and edge compute
- Adani Group: $100 billion to expand from 2 GW to 5 GW of data center capacity
Our perspective
We built NovaCore in Hyderabad because we believed India would become a first-class AI infrastructure market. This policy validates that thesis at a national level.
For our customers, the zero-tax framework means we can pass through structural cost advantages that simply aren't available in other markets. For AI teams running large, sustained workloads — the kind measured in months and years, not hours — India is becoming the most cost-effective destination for serious compute.
Talk to our team about running your workloads on NovaCore's Hyderabad infrastructure.