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Two Announcements, One Day Apart. Operational Seats Moving Out of India. AI Compute Moving In.

Published: June 11, 2026

Two announcements, one day apart. Operational seats moving out of India. AI compute moving in. Opendoor shutting its India operations (~250 FTE) and shifting to smaller AI-native teams in the US... Meta signed its first AI data center deal in India.

Neither announcement is a first of its kind. What caught my eye is both report within a day of each other.

Whether this is the real shift, too early to call. India's offshore engine employs 5.95 million people. The data-center build is headed for ~10 GW by 2030, $250bn+ already announced.

I have written about both engines in depth:

TIGZIG - India offshore - 11 June 2026. Trading seats for gigawatts? Opendoor shut its India operations today (~250 roles), citing smaller AI-native teams in the US. TCS announced ~12,000 layoffs last year, silent layoffs ~50,000 a year. On the other side of the ledger, $250bn+ of AI data-center commitments are flowing into India. Engine 1 (the seats): India offshore IT and BPM services - 5.95M people, $246B exports a year - operational work goes home to smaller US AI-native teams. Engine 2 (the capital): AI money flows back into India data centers + power, grid, construction - ~10 GW by 2030, with Google, Meta, Adani, Reliance, Microsoft, AWS, TCS. The labour-arbitrage engine is showing cracks while the capital engine accelerates at dot-com cadence. The new engine runs on hardware, construction, power - and hard-hat engineers.

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TIGZIG · INDIA OFFSHORE  |  11 June 2026

Trading seats for gigawatts?

Opendoor shut its India operations today, about 250 roles, citing smaller AI-native teams in the US. TCS announced ~12,000 layoffs last year, and silent layoffs run at ~50,000 a year. On the other side of the ledger, $250bn+ of AI data-center commitments are flowing into India.

Engine 1 · The seats: operational work goes home

SideWhat it isScale
India offshoreIT & BPM services5.95M people · $246B exports a year
US AI-native teamsSmaller, run on AIReplaces the seats

Engine 2 · The capital: AI money flows back in

SideWhat it isScale
India data centers+ power, grid, construction~10 GW by 2030 · $250bn+ committed
The playersHyperscalers + Indian conglomeratesGoogle · Meta · Adani · Reliance · Microsoft · AWS · TCS
Is this the shift? The labour-arbitrage engine is showing cracks while the capital engine accelerates at dot-com cadence. Still playing out. And the new engine runs on hardware, construction, power - and hard-hat engineers.

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