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UBS Names Amazon, Palantir Among 14 Top Tech Stock Picks

Summarized from MarketWatch.com - Top Stories

UBS analysts see the AI data-center buildout as still in early stages, flagging 14 buy-rated stocks across tech, media and telecom.

UBS analysts have identified 14 top stock picks across the technology, media and telecommunications sectors, arguing that the artificial intelligence data-center buildout remains in its early innings and presents a significant opportunity for investors willing to position now.

Amazon and Palantir are among the names highlighted by UBS, spanning a range of companies that stand to benefit from accelerating infrastructure spending tied to AI workloads. The selections reflect a broad thesis that demand for compute capacity, networking and related services has yet to reach its peak.

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The bank's analysts are directing clients toward TMT — technology, media and telecommunications — as the sector most directly exposed to the capital expenditure wave flowing from hyperscalers and enterprise customers building out AI capabilities. That spending cycle, UBS contends, is likely to sustain elevated growth rates across multiple subsectors for the foreseeable future.

Investors have grown increasingly attentive to which companies are best positioned to capture AI-driven revenue, particularly as valuations across the sector have rebounded sharply from 2022 lows. UBS's list offers a curated view of where its analysts see the strongest risk-reward balance within a crowded and competitive landscape.

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Frequently Asked Questions

Q.Which stocks did UBS pick as top tech investments?

UBS named 14 stocks across technology, media and telecommunications, with Amazon and Palantir among the highlighted picks.

Q.Why is UBS bullish on AI data-center stocks?

UBS analysts believe the AI data-center buildout is still in its early stages, suggesting substantial runway for growth across the TMT sector.

Q.What sectors did UBS focus on for its top stock picks?

UBS focused on the technology, media and telecommunications sectors, which it sees as most directly exposed to AI-driven infrastructure spending.

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