Daily Asia

31 July 2026, 00:19 UTC Chief Investment Office GWM Investment Research

Tech earnings point to a broader AI trade UBS House View - Daily Asia Min Lan Tan, Head Chief Investment Office APAC, UBS AG Singapore Branch Mark Haefele, Global Wealth Management Chief Investment Officer, UBS Switzerland AG Daisy Tseng, Strategist, UBS AG Singapore Branch Delwin Kurnia Limas, CFA, CIO Equity Strategist, UBS AG Singapore Branch Dean Turner, Economist, UBS AG, UBS AG London Branch Alison Parums, Strategist, UBS Switzerland AG

From the studio What to watch: 31 July Podcast: Signal over Noise | The open model AI ripple, on Apple and • Bank of Japan interest rate decision Spotify (6 mins) Video: Top of Mind in APAC | The current bull market and risks to • China July PMIs watch (5 mins) • Eurozone July flash inflation Thought of the day • US Michigan Consumer Sentiment for July Microsoft’s shares rose 15.5% on Thursday as its cloud unit grew at the fastest pace in four years, and the company projected further acceleration for the current quarter. Amazon's fifth straight quarter of cloud revenue acceleration also sent its shares 9% higher in after-hour trading. Meta, meanwhile, fell 8% after it reported a 91% plunge in second-quarter free cash flow to the lowest level since late 2022.

Without taking any single-company view, the divergence in share price performance underscores investors’ continued focus on monetization of AI investments. Alphabet’s shares fell last week after the company reported its first-ever quarter of negative free cash flow while raising its estimate for 2026 capital spending.

Here, we discuss our takeaways from recent quarterly results across the major US hyperscalers:

Near-term AI capex remains strong, and monetization is becoming more visible. Following Alphabet’s higher capex guidance, Amazon raised its projection for 2026 capital expenditures by 10% to USD 220bn, while Meta raised the lower end of its spending outlook this year, forecasting capex of between USD 130bn and USD 145bn. Microsoft said its investment expectations for this year remain unchanged, although an accounting tweak means some of its capital expenditures will shift to operating costs. With Alphabet, Microsoft, and Amazon all signaling further capex increases for 2027, we expect near-term AI spending overall to remain strong. Separately, Microsoft indicated further acceleration in cloud revenue growth for the current quarter, while Alphabet reported an increase in advanced cloud orders that have yet to be recorded as revenue. This adds to encouraging monetization trends, in our view.

But pressure on free cash flow could constrain AI spending beyond 2027. While capex is likely to rise further next year, and monetization is

This report has been prepared by UBS AG Singapore Branch, UBS Switzerland AG, UBS AG London Branch. Please see important disclaimers and disclosures at the end of the document.

picking up, the latest results showed that hyperscalers’ heavy spending is increasingly weighing on their cash flows. We estimate that these hyperscalers’ operating cash flows will be overtaken by their cash capex requirements in the current quarter, and this means that the risk of AI spending in 2028 coming in below the 2027 level has risen. A potential capex slowdown could lead to weaker prices for semiconductors, weighing on parts of the sector where strong pricing power has driven most of the recent rally.

The AI investment opportunity has become more differentiated. Given the backdrop of near-term strength and risks on the horizon, simply owning companies linked to AI infrastructure spending is unlikely to benefit from the next phase of AI growth. We believe investors should be more selective in their exposure to semiconductors, as the industry is composed of diverse segments each with its own cycle and dynamics. We also believe the broader semiconductor and hardware complex now offers a more balanced risk-reward profile following the strong rally in the second quarter of this year. In our view, investors should retain exposure across the entire AI value chain, and we recommend a barbell positioning that complements holdings in semiconductors with more…