UBS says hyperscaler valuations underprice AI cycle duration
Recent weakness in artificial intelligence-linked stocks is creating a more attractive entry point for hyperscalers, as investors appear to be assuming a shorter demand cycle than fundamentals suggest. That view implies current valuations may not fully reflect revenue growth rates of 10% to 20% a year for large cloud and technology groups.
Highlights
- UBS's Gerry Fowler says hyperscalers trade at under 20x earnings despite annual revenue growth of 10%-20%, implying underappreciated AI cycle duration.
- Fowler expects the recent valuation reset to attract renewed investor interest in hyperscaler and cloud sector stocks.
- UBS highlights a shift toward caution in market pricing, making the longevity of the AI investment cycle crucial for evaluating current technology sector discounts.
UBS view on valuations and AI demand
As reported by Bloomberg, Gerry Fowler, chief European equity strategist and head of derivatives at UBS AG, says the market is taking an overly negative view on hyperscalers after the recent AI unwind.In a Bloomberg Television interview, Fowler says hyperscalers are now trading at under 20 times earnings even as their revenues are growing by 10% to 20% per annum. He says that setup suggests investors are pricing in an AI cycle that is shorter than is likely to play out.
Fowler adds that the valuation reset is likely to revive investor appetite to buy back into the sector.
Implications for technology investors
The comments point to a more constructive view on large-scale technology and cloud companies despite recent volatility in AI-related trades. If the AI investment cycle lasts longer than current pricing implies, hyperscalers could have room for a valuation recovery.The assessment also highlights how sentiment has shifted after the recent unwind, with market pricing now reflecting greater caution on growth durability. For equity investors, that makes the length of the AI spending cycle a central factor in judging whether current sector valuations remain discounted.
Our earlier coverage of the AI-linked tech sell-off noted a sharp pullback across semiconductors, data-center infrastructure names and related funds as investors began reassessing whether future AI revenues can justify massive spending. The article also highlighted how rising oil prices and inflation fears added pressure by raising uncertainty around Fed policy and financing costs, leaving market views split between “buy-the-dip” and more cautious positioning.