UBS has published its latest list of preferred stock picks across technology, media, and telecommunications, pointing to a set of companies where its analysts believe the market has gotten the story wrong.
The picks span a wide range of sectors. In consulting and professional services, Accenture leads the list. UBS argues the stock is trading at a discount to the S&P 500 for the first time in over 15 years, and that current pricing reflects broader macro anxiety rather than any meaningful deterioration in the company’s fundamentals.
Netflix is the preferred name in media and telecom services, with UBS expecting the streaming environment to continue shifting in its favor as rivals pull back spending and raise prices. Amazon takes the top spot among large-cap internet companies, driven largely by expectations that its cloud division, AWS, could hit 38% growth in 2026, well ahead of what most analysts are currently modeling.
In payments, Mastercard is the large-cap pick, cited for its diversified revenue streams and resilience in economic downturns. Global-e Online is the smaller-cap alternative, with UBS pointing to its merchant-of-record model as a structural advantage in an increasingly complex global trade environment.
On the infrastructure side, American Tower is highlighted for its exposure to rising mobile data demand tied to 5G rollout, with UBS noting that mobile data usage is growing at 35% annually. The stock is currently trading near multi-year lows despite the demand backdrop remaining strong.
In semiconductors, Entegris is the top pick, positioned to benefit from AI-driven expansion in chip manufacturing. Among software names, Palantir is identified as a primary beneficiary of enterprise AI spending, while Twilio is favored in the mid-cap segment for its role as a communications infrastructure layer for AI-driven applications. JFrog rounds out the software picks, with UBS citing growing enterprise demand for DevOps and security tooling.
Finally, in networking equipment, Arista Networks is UBS’s preferred name. The bank believes consensus estimates are not yet fully accounting for the scale of AI infrastructure investment flowing into the sector.