Indian technology and infrastructure firms linked to artificial intelligence dropped by up to 5% on July 17 following a global decline in the semiconductor sector. Investors are re-evaluating high valuations as concerns grow over whether current AI infrastructure spending will lead to sustained long-term demand and profit.
Indian technology firms and companies providing infrastructure for data centers saw their share prices fall on July 17. The decline followed a significant downturn in the global semiconductor sector, where concerns over high valuations and the future pace of AI-related spending have impacted investor sentiment worldwide.
Impact on Tech and Infrastructure Stocks
During afternoon trading, several companies tied to the AI and data center supply chain faced selling pressure. Netweb Technologies saw a decline of 1%, while E2E Networks and Black Box shares dropped by 4% and 4.4% respectively. The impact extended to industrial equipment manufacturers who supply power infrastructure essential for operating high-capacity data centers. GE Vernova T&D India shares fell by 5%, making it one of the notable midcap losers. Hitachi Energy India and CG Power also followed this trend, recording declines of 4% and 2% respectively.
Global Market Context
This movement in Indian markets mirrors broader international trends. Nasdaq 100 futures fell by 2%, and major Asian markets hit two-month lows. In Europe, companies involved in chip manufacturing equipment, such as ASM International NV and Aixtron SE, also saw their shares decline by over 4%. Taiwan's equity market, a critical hub for global semiconductor production, entered a technical correction, which often serves as a signal of shifting sentiment in the technology sector.
Investor Valuation Concerns
The primary reason for the volatility is a reassessment of valuation multiples. Many companies in the semiconductor and AI infrastructure space have seen significant price appreciation over the past year. Current market sentiment is shifting toward questioning whether the massive capital spending by global AI hyperscalers—large companies building and operating massive data centers—will generate enough revenue to justify these high stock prices.
For investors, the key monitorable will be how these companies manage their profit margins if demand for new data center projects slows down. While these firms are essential to the growth of AI infrastructure, their stock performance remains highly sensitive to global capital expenditure cycles and the overall health of the semiconductor industry. Investors may track future order book updates and management commentary on demand trends in coming quarters to see if the recent correction alters the long-term capital spending plans of their major customers.