India's AI proxy soars 450%: How Sterlite Tech outpaced Samsung and SK Hynix in 2026

The Indian stock market is often bashed for not participating in the global AI boom, as all the other markets have rallied in double digits in 2026, lifted by euphoria in AI and its related stocks. The US has all the leading chip-making and tech companies, including Nvidia, Micron, AMD, Intel, Alphabet, Meta, Amazon and others. South Korea’s Samsung and SK Hynix are through the roof, by rallying manifold in 2026 alone. TSMC, the world’s largest chip manufacturer, shares have also delivered stellar performance. The internet is filled with stories about these stocks. Contrarily, Indian IT stocks are bashed for not participating in the AI boom rally and failing to meet investor expectations.

However, one company has captured this rally with full confidence. It forms a major part of the AI ecosystem, which starts from power & transmission to the application front-end layer. Sterlite Technologies has now come forward as a proxy play for the global AI boom in India. The company has now come into the spotlight after securing a $1 billion order from a global hyperscaler. However, the share price has returns have already shown its capabilities in the AI infrastructure space. Sterlite Technologies’ share price has made its investors richer by nearly 450% in 2026 alone, outperforming Samsung (+164% YTD) and SK Hynix (+258% YTD) by a wide margin.

AI infrastructure ecosystem

All three companies have one thread in common, and that is AI Infrastructure. SK Hynix and Samsung are manufacturers of HBM (High Bandwidth Memory) chips, which form a critical part of the data centre architecture. The standard DRAM memory chips are not enough to handle the data memory, which requires HBM chips, which can handle huge amounts of data and prevent latency. Similarly, Sterlite Technologies also serves a similar purpose of handling the data through servers at the data centre by preventing latency. Sterlite Technologies manufactures high-density optical fibre cables, which are essential for AI data centres. An AI data centre rack requires 10x-36x more density of optical fibre cables to process the data at a fast pace.

Explosion of sudden demand

Samsung, SK Hynix and Sterlite Technologies were stuck in a commodity life cycle for their products. Samsung and SK Hynix produced traditional memory chips used in PCs, smartphones and tablets, where the market was sometimes oversupplied, leading to poor margins. Sterlite Technologies product lifecycle was limited to the capex announced by telecom companies for its 4G, 5G rollouts. However, Samsung and SK Hynix secured major orders from the global chip giant NVIDIA for HBM chips, and it drastically changed their business models. Both Samsung and SK Hynix are now sold out for their capacities till 2027. Similarly, Sterlite Technologies also secured a $1 billion contract from a global hyperscaler, which places it in the league of global optical fibre players. Furthermore, it also helped in diversifying the order book from typical telecom-centred semgents to data centre.

What lies ahead?

Though these AI infrastructure players have rallied exuberantly, reality warrants the attention of every investor who feels they have missed the rally. The financials of Samsung Electronics, SK Hynix and Sterlite Technologies are not an apple-to-apple comparison, which remains the major uncommon factor between the three. Here is how three players fare in terms of financials and valuation

(Source: NSE, Screener.in, MorningStar)

The above table clearly highlights a huge difference between the magnitude of the Sterlite Technologies, Samsung Electronics, and SK Hynix. The valuation difference is what makes the Korean players more affordable and attractive. Whereas Sterlite Technologies’ 550x price-to-earnings ratio is primarily driven by the latest turnaround in the bottom line, which leaves less earnings per share and a euphoric rally in the stock price. It is not our job to predict the future share price returns . However, it will be interesting to monitor the growth of these companies in the years to come as the hyperscalers plan to invest over $750 billion in the AI infrastructure ecosystem globally, and these players stand to benefit handsomely.