How should investors approach India's AI sector after its 400% surge

After months of eye-popping rallies in global artificial intelligence (AI) stocks, the trend is showing clear signs of stress as key indices stage sharp corrections. The Nasdaq is nearing a 10 percent decline, while the Philadelphia Semiconductor Index has officially entered technical bear market territory. South Korea’s Kospi, a standout AI performer until recently, has dropped 44 percent from its June peak, emerging as a high-profile casualty of the shifting sentiment around AI plays.

Despite the volatility roiling international markets, Indian investors continue to see AI as a major opportunity, albeit through a unique lens. In the absence of listed pure-play software AI companies, the Indian market has focused on so-called “picks-and-shovels” trades - companies linked to the infrastructure supporting AI, such as data centers, power equipment, cables, transformers, and cooling systems.

The recent global sell-off, according to Riddhiman Jain, Managing Director and Head of Investment Strategy and Solutions at Waterfield Advisors, is less about waning AI demand and more about shifting expectations, changes in market positioning, and concerns over China’s ambitions in chip manufacturing. Jain points to China’s memory chipmaker CXMT raising $8.6 billion in Asia's largest IPO this year as a trigger. News that China is developing its own chip equipment has weighed on stocks like ASML and stoked fears that Chinese advancement could erode the pricing power of established players like Samsung, SK Hynix, and Micron. DRAM contract prices, however, continue to rise by 20–30 percent this quarter, suggesting underlying demand remains intact.

Money has also rotated into Chinese chip-related stocks, with a China-focused AI semiconductor ETF surging over 30 percent in the past three months as optimism over CXMT’s listing grows. Some selling is also attributed to profit booking after a sustained rally and cash being raised for the large Chinese IPO. Analysts warn of continued volatility through 2026 due to market concentration, leveraged trades, and interconnected financing, even as the overarching AI theme looks stable.

In India, the AI trade has evolved into a bet on infrastructure and utility providers supporting the country’s anticipated data center boom. Companies like Sterlite Technologies (up 411 percent year-to-date), Hitachi Energy India (up 79 percent), GE Vernova T&D India (up 30 percent), CG Power (up 30 percent), ABB India (up 41 percent), and E2E Networks (up 142 percent) have benefited as investors seek exposure to the accelerating demand for power, transmission, and data storage infrastructure. Nomura has highlighted firms including GE Vernova T&D India, CG Power, ABB India, Siemens, Hitachi Energy India, and Cummins India as beneficiaries of the expanding Indian data center ecosystem.

Industry experts advise caution following the dizzying run-up in these stocks. According to Sourav Choudhary, Managing Director at Raghunath Capital, recent global corrections should be viewed as healthy consolidations. He recommends that Indian investors focus on high-quality infrastructure firms with proven track records, strong balance sheets, and transparent order flows. This disciplined approach is echoed by Khushi Mistry, Research Analyst at Bonanza, who calls the current selloff more of a valuation reset than a systemic collapse. She urges investors to differentiate between substance and hype, favoring companies with tangible earnings visibility in data centers, engineering R&D, electronics manufacturing services, and digital infrastructure.

With most AI-related stocks in India already having seen significant price appreciation, the margin of safety for investors has diminished. Analysts recommend staggering investments rather than making large lump-sum bets, prioritizing firms with demonstrated exposure to AI-led demand. As the global AI recalibration unfolds, the focus remains on navigating volatility while staying disciplined in stock selection, ensuring the promise of India’s AI opportunity is captured without falling prey to overheated narratives.