UBS maintains a positive outlook on the long-term AI trade, viewing recent market dips as temporary corrections. For India, the firm suggests a shift toward a selective investment approach, highlighting private banks, data center proxies, and the quick commerce sector as key focus areas.
The global artificial intelligence trade remains in a structural growth phase, according to UBS. Despite recent market pullbacks in major technology hubs like Korea and Taiwan, the brokerage views these movements as temporary technical corrections rather than a fundamental shift in demand. The firm projects global AI-related capital investment to reach approximately USD 1.2 trillion by 2027, highlighting sustained demand for high-end technology infrastructure across both developed and emerging markets.
For Indian markets, UBS maintains a stance of cautious optimism. The brokerage notes that the domestic economy is showing resilience against external pressures, such as fluctuating oil prices and shifts in global capital. With inflation forecasts stabilizing around 5 percent for the end of 2026 and urban consumption remaining a steady driver, the firm believes the Indian market is better positioned than it was previously. After a three-year period where valuations were high, the current market levels are viewed as more reasonable, provided that earnings growth continues to meet expectations.
Instead of making broad bets across all sectors, UBS suggests a more selective, bottom-up approach to investing. The firm favors private sector banks, noting that these institutions have successfully expanded their branch networks to capture more household deposits. Data center proxies and the quick commerce segment are also identified as high-growth areas that investors may focus on. In contrast, the outlook for IT services remains nuanced, with the brokerage closely watching hiring trends to gauge future momentum.
While the outlook is constructive, the firm also highlights several risks that investors should monitor. Stretched valuations in the U.S. AI sector remain a concern, as these stocks can be sensitive to fluctuations in interest rates and rising bond yields. Additionally, in rapidly growing areas like quick commerce, competitive pressures and margin challenges remain important variables. The ability of companies to successfully monetize their AI investments and show clear returns will be a critical factor for long-term valuation stability.
Looking ahead, the market's performance will likely depend on whether corporate earnings growth can outpace external shocks, such as weather-driven inflation or spikes in energy costs. Investors may keep track of U.S. bond yields and domestic consumption data, as these will likely influence market liquidity and sentiment in the coming quarters.