Morgan Stanley on Thursday lowered its price target on Alphabet (GOOGL) to $375 from $400, a move that underscores a growing Wall Street debate: can the tech giant's future growth come from something other than its core Search business?
The bank's analysts argue that Alphabet's next big valuation jump won't come from steady ad revenue, but from whether Google can get its new Gemini “agent” tools into the hands of millions of users as Search growth slows. The note trimmed the firm's 2027 and 2028 earnings per share (EPS) estimates by 2%, while leaving its overall revenue view roughly unchanged.
What's behind the target cut?
Morgan Stanley's revised model points to a subtle but important shift in where Alphabet's money comes from. The bank now expects Google Search revenue to fall 1% in both 2027 and 2028, while Google Cloud revenue is projected to rise 3% and 2% in those years. That mix change matters because markets typically assign higher valuation multiples to software-like, recurring revenue than to more hardware-like sales.
The bank specifically flagged tensor processing unit (TPU) chips as “lower multiple” earnings. TPUs are Google's custom-designed chips used to train and run AI models. While they're a growing part of Alphabet's cloud business, they carry thinner margins and are seen as more commodity-like than, say, a subscription software product.
So even if AI infrastructure revenue grows, Morgan Stanley believes the bigger valuation lift will come only if Gemini agents can scale to “material chunks” of users and show clear monetization. Gemini agents are AI tools that can perform tasks on a user's behalf, like booking a flight or summarizing emails, and are seen as a potential new revenue stream beyond search ads.
Why the mix matters for investors
A stock's valuation often comes down to a simple question: how much are investors willing to pay for each dollar of earnings? Morgan Stanley's model suggests that answer could get tougher for Alphabet if Search shrinks slightly while more growth comes from areas the market values less highly.
That's why the bank can hold revenue broadly steady but still mark down longer-term EPS. A different revenue mix can mean lower margins or lower-quality profits, which can compress the multiple investors are willing to pay.
The upside case, in Morgan Stanley's view, is that Gemini agents turn into widely used products that produce durable, software-like revenue streams. That would offset slower Search and support a higher valuation multiple. But it's a big “if.”
This isn't the first time Alphabet's AI strategy has rattled investors. Earlier this year, Alphabet's 13% drop dragged the Nasdaq as fears over AI spending returns. And in a separate episode, Alphabet's 10% slide dragged Nasdaq futures lower ahead of key US inflation data. Those swings highlight how sensitive the stock is to AI-related news.
What it means for your portfolio
For everyday investors, the key takeaway is that Alphabet's future isn't just about how much revenue it generates, but about the quality of that revenue. If Search declines and growth comes from lower-margin businesses like cloud infrastructure, the stock may not command the same premium as it did when Search was the undisputed king.
That's not to say Alphabet is in trouble. It remains a cash-generating powerhouse with a dominant position in search and a fast-growing cloud business. But the market is starting to price in a future where AI changes the game.
Investors should also keep an eye on the broader backdrop. US inflation picked up in September, keeping a Fed rate hike in play, which could pressure high-valuation tech stocks. And with Big Tech earnings splitting WallStreetBets favorites, the sector is clearly in a period of heightened scrutiny.
Morgan Stanley's $375 target frames Alphabet's 2027 hurdle as a mix-and-multiple problem, not just a growth problem. The bank's message: watch whether Gemini agents become a real, monetized product, because that's what could justify a higher valuation. Until then, the stock may trade in a range as investors weigh the risks and rewards of Alphabet's AI transition.
