Adani Bets $100 Billion on Data Centres to Power India’s AI Ambitions

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Adani Enterprises has announced plans to invest $100 billion in renewable-powered, AI-ready data centres by 2035, marking a major step in India’s push to become a key player in the global artificial intelligence landscape.

The investment aims to build a network of data centres designed to support large-scale AI computing, while integrating renewable energy and resilient power infrastructure. The company expects this initiative to stimulate an additional $150 billion in related sectors such as server manufacturing and sovereign cloud services, potentially creating a $250 billion AI infrastructure ecosystem over the next decade.

India has recently seen increased spending in AI infrastructure from global technology companies including Google, Amazon, Meta and Microsoft, alongside domestic firms such as Reliance and TCS. Analysts view data centres as India’s most viable path to gaining influence in the AI economy, given its limited presence in semiconductor manufacturing.

Adani plans to expand its existing 2 gigawatts of data centre capacity to 5 gigawatts, positioning itself to build one of the world’s largest integrated platforms for AI operations. The group will also invest $55 billion in renewable energy expansion, including large-scale battery storage systems.

The company is already collaborating with Google on an AI data centre project and will expand its partnership with Flipkart to develop another facility. Discussions with additional partners are ongoing.

Cadence Beats Quarterly Profit and Revenue Estimates on Strong AI-Linked Demand

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Cadence Design Systems exceeded both revenue and profit expectations in the fourth quarter, driven by growing demand for advanced artificial intelligence chip development tools.

The company, which provides specialized software for designing complex semiconductor systems, reported quarterly revenue of $1.44 billion, marking a 6.2% year-on-year increase. This surpassed analyst expectations of $1.42 billion. Adjusted earnings reached $1.99 per share, also beating forecasts.

Rising demand for AI-capable chips has significantly boosted the need for Cadence’s design solutions, which enable companies to create and test intricate processors used in high-performance computing environments. Its tools are essential for mapping circuit architecture and detecting potential thermal or electrical issues.

Chief Financial Officer John Wall highlighted record contract bookings in the fourth quarter, resulting in a backlog of $7.8 billion in future work. This positions the company with strong momentum entering 2026.

Cadence recently introduced a virtual AI agent designed to accelerate chip development processes, supporting major clients such as Nvidia in designing next-generation processors. The innovation reflects the growing strategic importance of chip design in global technology competition.

Looking ahead, Cadence expects 2026 revenue to reach between $5.9 billion and $6.0 billion, in line with market expectations.

Hedge Funds Trim AI Tech Holdings

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Major hedge funds including Tiger Global Management and Adage Capital Partners reduced their stakes in several leading artificial intelligence-linked companies during the final quarter of 2025, according to regulatory filings.

Tiger Global cut its holdings in Microsoft, Amazon and Nvidia, reflecting growing investor caution toward companies heavily investing in AI. Despite the reductions, Microsoft remains one of Tiger’s largest positions, valued at approximately $2.6 billion.

Similarly, Adage Capital trimmed its positions in Microsoft, Alphabet, Amazon and Nvidia, while increasing its stake in Oracle by around 19%, signaling a more selective approach to AI-related investments.

The adjustments come amid rising concerns that the strong valuations of leading tech firms may not be supported by future returns from massive AI spending. Investors have increasingly questioned whether long-term investments in AI infrastructure will deliver near-term financial results.

Elsewhere, SoftBank fully exited its Nvidia stake to free up capital for new investments, including its involvement in OpenAI. Quantitative hedge fund D.E. Shaw also reduced exposure to Nvidia, Micron and Meta, though it added to its Amazon and AMD holdings.

The moves suggest a shift toward cautious positioning as investors balance enthusiasm for AI growth with concerns over potential market overvaluation.