Reliance Industries
$110B / ₹10,00,000 Cr
AI Infrastructure & Data Centers
Announced at the India AI Impact Summit; figure is Reliance’s own.
Source ↗bharath.ai › Money
Who is building India’s AI
The commitments behind India’s AI build-out, each dated and shown in the currency its source used. These are announcements, not money already spent.
Reliance Industries CommittedAI Infrastructure & Data Centers, 2026-33 (7-yr)
Adani Group PlannedRenewable-powered AI Data Centers, by 2035
Amazon CommittedCloud + AI Infra (whole India business; more than $21B is AI/cloud), 2026-30
Microsoft CommittedAzure AI + Data Centers, 2026-29
Google CommittedAI Hub, Visakhapatnam (gigawatt-scale), 2026-30
AM Intelligence CommittedCompute-as-a-Service (India, US, Finland, Malaysia), multi-year
IndiaAI Mission CommittedCompute, datasets, sovereign models (government), 2024-29 (5-yr)
Wipro CommittedAI training, R&D, platforms (capex commitment), 2023-26 (3-yr)
Every commitment, with its source
Amazon
$48B
Cloud + AI Infra (whole India business; more than $21B is AI/cloud)
Revised upward from an earlier $35B commitment in June 2026.
Source ↗Adani Group
$100B
Renewable-powered AI Data Centers
Announced two days before Reliance’s programme.
Source ↗Microsoft
$17.5B
Azure AI + Data Centers
Microsoft’s own announcement.
Source ↗$15B
AI Hub, Visakhapatnam (gigawatt-scale)
India’s first Google AI hub; construction began Apr 2026.
Source ↗AM Intelligence
$8B+
Compute-as-a-Service (India, US, Finland, Malaysia)
Hyderabad factory (30 MW, 9,000 Nvidia Vera Rubin systems) is the first tranche of this 1 GW programme, not the whole of it.
Source ↗HCLTech
₹14,257 Cr
AI Data Center, Bhubaneswar (with Sarvam)
Joint outlay with Sarvam and the Government of Odisha; not a single-company figure.
Source ↗Tata Electronics
₹91,000 Cr
Semiconductor Fab, Dholera (with Powerchip)
50,000 wafer starts/month target. The IT minister said in July 2026 that commercial operations are now expected in mid-2028, against an earlier end-2026 target, starting at 90nm (TrendForce, citing Bloomberg; COR-157).
Source ↗IndiaAI Mission
$1.25B / ₹10,371.92 Cr
Compute, datasets, sovereign models (government)
Cabinet-approved outlay; common compute pool had more than 38,000 empanelled GPUs onboarded as of 25 March 2026, per the IT Ministry’s own Lok Sabha reply (up from 34,333 in May 2025).
Source ↗Sarvam AI
$234M
Sovereign foundation models (funding round)
First close of a $300M Series B at a $1.5B valuation, led by HCLTech.
Source ↗Neysa
$600M equity
AI Infrastructure Platform (funding round)
Blackstone-led consortium; company intends to secure a further $600M of debt, together described as up to $1.2B.
Source ↗Wipro
$1B
AI training, R&D, platforms (capex commitment)
Wipro AI360; a 2023 capital commitment, not 2025-26 services revenue.
Source ↗Infosys
~$1B (annualized)
AI services revenue, not capital investment
Infosys reports AI as roughly 8% of quarterly revenue; this row is a revenue estimate, not a pledge.
Source ↗Amounts are as each company or ministry announced them. Different scopes are not added together here.