Google stock investors were, for the most part, bracing for another AI spending headache.
For some context, the tech giant had already bumped its full-year 2026 capex guidance to $180 billion to $190 billion, saying demand for AI compute is “unprecedented.”
At the same time, 2027 capex is expected to rise significantly from 2026, according to its Q1 earnings filing.
So Wall Street felt that Google's parent, Alphabet (GOOGL), would just continue shelling out money on chips, data centers, and cloud capacity while investors waited for proof that the spending could translate into durable sales.
Morgan Stanley’s latest note changes the frame.
In a note shared with me, the bank points to Google’s estimated high-priced compute-rental deal with SpaceX as a major signal that Alphabet might not simply be chasing capacity.
It may be positioning AI products to monetize that capacity more quickly than Wall Street initially modeled.
Investors continue worrying about Google’s growing AI bill, but Morgan Stanley feels that bill might also underscore a bigger revenue opportunity.
So it leaves the question: Is AI spending still a margin risk, or the clearest sign that Alphabet’s next growth engine is already forming?
Morgan Stanley says Alphabet’s AI spending should not be taken purely as a cost problem.
The bank argues Google’s estimated $50/watt compute rental deal signals both urgency around AI capacity and confidence that higher-value products may be coming.
It estimates that Google is renting about 110,000 Nvidia GB300 GPUs from SpaceX, representing roughly 220 MW of compute and about $11.04 billion in annualized expense.
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However, the big shift is monetization.
Morgan Stanley says its current Google Cloud estimates imply only about $14 billion of incremental revenue per incremental rack GW in 2027.
That looks conservative if new AI tools tied to Gemini Enterprise, Vertex AI, Workspace, Wiz, and other cloud products drive healthier demand.
The bank says Google Cloud’s ability to monetize incremental capacity at $25/watt in 2027 implies 27% upside to its current growth estimate.
Morgan Stanley rates Alphabet overweight with a $375 price target.
That target is based on a discounted cash flow and long-term EBITDA multiple framework and implies about 24 times 2027 earnings.
The valuation case rests on AI-driven innovation across Search, YouTube, and Cloud, plus continued expense discipline.
However, the risk is that if these AI products have lower monetization and higher compute intensity, spending could pressure margins rather than expand earnings power.
Morgan Stanley says Google’s AI spending may signal stronger monetization ahead for investors.
David Paul Morris&solBloomberg via Getty Images
For Alphabet/Google investors, the note essentially switches up the debate from “How expensive is AI?” to “How much revenue can each new watt of AI capacity produce?”
That’s important because the market has been treating AI capex as a valuation risk across mega-cap tech.
If compute costs rise faster than monetization, margins compress, and investors pay less for future growth. But if Google can convert that capacity into stronger cloud demand, enterprise AI tools, and search-adjacent products, the same spending becomes a reason to defend a higher multiple.
For perspective, according to Seeking Alpha, Google stock trades at a nosebleed valuation of 26 times non-GAAP earnings, 108% above the sector median. Also, that is 12% higher than the five-year average.
It backs up the case for AI infrastructure names, cloud platforms, power demand, and data-center suppliers, while also keeping the pressure on software or defensive stocks that lack direct AI monetization.
Nevertheless, the unresolved question is whether Google can turn premium-priced compute into durable sales before investors lose patience with the bill.
Related: Cathie Wood buys $52 million of surging tech stock

