Meta is doubling down on artificial intelligence infrastructure by constructing its first AI data center in India, a move that underscores Mark Zuckerberg's commitment to competing in the AI era despite significant workforce reductions. The 168-megawatt facility, announced on June 10 and built in partnership with Reliance Industries at its industrial campus in Jamnagar, Gujarat, represents Meta's largest infrastructure investment outside the United States.

Why Is Meta Building Data Centers in India Right Now?

Meta's decision to expand AI infrastructure in India comes as the company faces mounting compute demands. Chief Financial Officer Susan Li explained during first-quarter earnings that Meta has "continued to underestimate our compute needs even as we have been ramping capacity significantly". The company raised its 2026 capital expenditure guidance to between $125 billion and $145 billion, nearly double what it spent in 2025, signaling an aggressive push into AI infrastructure.

India has become a magnet for global tech investment in AI. Hyperscalers poured roughly $400 billion into India's AI ecosystem over the past year, with the bulk directed at data centers and the energy infrastructure needed to power them. Google broke ground on a $15 billion AI hub in Visakhapatnam in April, while Microsoft pledged $17.5 billion over four years and Amazon committed $35 billion by 2030. New Delhi sweetened the pitch with a 20-year tax exemption for hyperscalers that service global clients from Indian facilities.

"We're proud to be working with Reliance to build our first AI-enabled data center in India. This world-class facility in Jamnagar will help us scale our AI infrastructure globally while deepening our long-term investment in India's economy," said Mark Zuckerberg.

Mark Zuckerberg, Chief Executive Officer at Meta

How Does Meta Plan to Power This Massive Facility?

• Renewable Energy Supply: Meta contracted nearly 1 gigawatt of clean energy in India alongside the data center agreement, with CleanMax supplying 837 megawatts of solar power to support the Jamnagar site and future operations.
• Water Management: Meta will bear the full cost of energy and water, drawing on renewable sources and desalinated seawater for cooling, reducing strain on local freshwater supplies.
• Construction Timeline: Reliance will design, construct, and deliver the facility within two years, with an option to expand capacity as Meta's needs grow.

The partnership deepens a relationship that stretches back to 2020, when Meta invested $5.7 billion in Reliance's telecom arm Jio Platforms. Last year, Meta and Reliance launched a $100 million joint venture to build enterprise AI tools using Meta's open-source Llama models for Indian businesses, and the Jamnagar data center gives that venture its first dedicated physical infrastructure in the country.

What's the Connection Between Job Cuts and AI Investment?

Meta's aggressive capital spending on AI infrastructure stands in stark contrast to its workforce reductions. In May, the company cut 8,000 jobs, representing about 10 percent of its headcount, marking the fourth wave of cuts this year. Earlier rounds targeted Reality Labs, recruiting, and sales, with a further 6,000 open roles scrapped entirely. Sources familiar with the company's internal planning told CNBC that more layoffs could come as early as August, with another potential round expected in the autumn.

Zuckerberg pushed back on speculation about additional cuts in a memo to staff on May 20, writing that executives "do not expect other companywide layoffs this year," though the wording left room for targeted cuts. About 7,000 employees have already been moved into AI-focused roles, and data from the anonymous professional network Blind showed Meta's internal culture rating had fallen 39 percent from its 2024 peak.

The financial math is clear: Meta's first-quarter revenue came in at $56.3 billion, up 33 percent year-on-year, yet the stock still fell more than 6 percent in after-hours trading when the spending hike was disclosed. The company is betting that its AI infrastructure investments will eventually generate returns that justify the massive capital outlay and workforce restructuring.

What Role Does Llama Play in Meta's AI Strategy?

Meta's open-source Llama large language models (LLMs) are central to its AI ambitions. The Jamnagar facility will underpin Meta's core products, including Facebook, Instagram, and WhatsApp, alongside its growing AI compute requirements. The joint venture with Reliance to build enterprise AI tools using Llama models for Indian businesses demonstrates Meta's strategy to monetize its AI research beyond consumer applications.

Nomura analysts wrote in a June 2 report that India's data center capacity could reach 7 gigawatts by 2030, noting the market remains cost-efficient relative to other developed Asia Pacific and Western economies. This positions Meta's investment as part of a broader trend where tech giants are building infrastructure in regions with lower operational costs and favorable regulatory environments.

How Does Meta's Move Fit Into the Broader Tech Landscape?

Meta's infrastructure push reflects a fundamental shift in how the tech industry defines success. The acronym MANGOS, which stands for Meta, Anthropic, Nvidia, Google, OpenAI, and SpaceX, has emerged to describe a new generation of tech leaders focused on intelligent infrastructure rather than consumer attention. Where the older FAANG acronym (Facebook, Apple, Amazon, Netflix, Google) emphasized user engagement and advertising, MANGOS emphasizes AI models, computing power, and foundational platforms.

This distinction matters because it signals where investors and industry leaders believe the future of technology lies. Meta's inclusion in MANGOS reflects the market's belief that its AI ambitions are finally bearing fruit, positioning the company as an incumbent with the scale to compete in the AI era. The Jamnagar data center is a tangible manifestation of that strategic pivot, transforming Meta from a social media company into what Zuckerberg envisions as a high-powered AI and metaverse firm.