Alphabet's 160% rally in a year reflects value of owning 'most of the stack' in AI
By Maksym Misichenko · CNBC ·
By Maksym Misichenko · CNBC ·
What AI agents think about this news
The panel is divided on Alphabet's valuation, with concerns about concentration risk in cloud backlog and heavy capex, but also acknowledging AI's potential to drive growth and disrupt core search ads.
Risk: Concentration risk in cloud backlog, specifically the Anthropic deal, and potential search monetization collapse.
Opportunity: AI's potential to drive growth and disrupt core search ads.
This analysis is generated by the StockScreener pipeline — four leading LLMs (Claude, GPT, Gemini, Grok) receive identical prompts with built-in anti-hallucination guards. Read methodology →
Alphabet briefly passed Nvidia by market cap in after-hours trading this week, a remarkable feat for a company that was seen as deeply at risk in the early days of the artificial intelligence boom.
The stock is up about 160% in the past year, driven higher by an emerging view on Wall Street that Google is well positioned across the AI landscape, whether it's from the company's homegrown models, its massive distribution network or its cloud unit that's reeling in cash from other booming AI businesses.
Among tech's seven other trillion-dollar companies in the U.S., chip designer Broadcom is the next best performer over the past 12 months, with its stock up 107%.
"Google is one of the two best-positioned AI companies because they own most of the stack," said Gene Munster, managing partner at Deepwater Asset Management. "Chips, models, infrastructure and distribution. On top of that, they're nicely profitable."
The other company he put in that category is Elon Musk's SpaceX, which merged with xAI in February in a deal valued at $1.75 trillion.
Following Alphabet's earnings report last week, JPMorgan analysts called the stock their "top overall pick" in the tech sector, pointing to a "standout quarter," accelerating growth and a cloud backlog that nearly doubled to $462 billion. Mizuho analysts raised their price target, writing that consensus estimates still significantly underestimate Google Cloud revenue and operating income over the next two years.
Alphabet closed the week with a market cap of $4.8 trillion, behind only Nvidia at $5.2 trillion. The two flip-flopped momentarily after markets closed on Tuesday following a report that AI model developer Anthropic committed to spend $200 billion on Google Cloud over five years for 5 gigawatts of compute.
For investors, it was the latest sign that Google has many ways to make money and compete at the cutting edge. There's Gemini and DeepMind for AI models and research, Google Cloud for compute, tensor processing units (TPUs) as an alternative to Nvidia, and the ability to add AI features into search, YouTube and Android.
There are reasons to be skeptical, however, in the eyes of some analysts.
A primary area of concern is how much of the backlog could be coming from Anthropic, a cash-burning and richly valued startup that's raising tens of billions of dollars from Google and, in turn, is spending much of that money with Google on cloud services and TPUs.
If the reported $200 billion Anthropic commitment is measured against Alphabet's reported cloud backlog, it could represent more than 40% of future contracted revenue.
Gil Luria, an analyst at D.A. Davidson, said the setup is reminiscent of what happened at Oracle, which saw its stock soar in September after the company reported a backlog increase of almost 360%. It soon became clear that most of that was from OpenAI.
"They did it the same way Oracle did," said Luria, who recommends holding Alphabet shares. "They told us their backlog roughly doubled without telling us that almost the entire increase came from one deal with Anthropic."
Google didn't provide a comment for this story, pointing only to CFO Anat Ashkenazi's commentary on the last earnings call.
Oracle was punished after investors realized a major share of its backlog growth was tied to OpenAI, with the stock losing about half its value over five months. Microsoft has faced similar questions around its OpenAI exposure.
Luria sees concentration risk across the major cloud providers. Microsoft, Oracle, Amazon and Google together have close to $2 trillion in reported cloud backlog. Nearly half of that, Luria said, traces back to commitments from OpenAI and Anthropic, which are both tapping that same set of companies for capital.
Munster understands the concern but doesn't share it, at least as it pertains to Google and Anthropic.
"The deal underscores how early we are in AI," Munster said. "Even though the use cases are limited today, the need for compute is exponential. Google will ride that wave."
If Anthropic stumbles, Munster says, other AI companies will eventually replace it.
"The headlines about size and risk of any given customer miss the point," he said. "If one of those customers blows up, over time there will be dozens to take its place."
Where Google has a clear and emerging advantage is in custom silicon.
Mizuho estimates roughly $61 billion of Google's cloud backlog through 2027 could come from sales of its TPUs, and most of that revenue will likely be recognized next year. That gives investors looking for an alternative to Nvidia another way to buy the AI hardware trade, a theme that's swept across Wall Street of late, with shares of Advanced Micro Devices, Intel and Micron all more than doubling this year.
Some of the demand that Google and Amazon, which makes Trainium, are seeing for their in-house chips is from their portfolio companies, according to Luria.
"When Google and Amazon talk up demand for their proprietary chips, much of that is captive demand," Luria said. "It's not organic."
For Munster, the biggest threat to Google's continued outperformance is that the stock is already baking in future gains. He likens that scenario to what's happening now to Nvidia, which continues to see huge growth but is no longer getting rewarded by investors.
Analysts expect to see 78% revenue growth when Nvidia reports earnings later this month, according to LSEG, but the stock is only up 15% this year, slightly outperforming the Nasdaq.
"The biggest risk to owning Google is that they don't have an opportunity to change the narrative with investors," Munster said.
That puts increased weight on the company to impress at Google I/O, which kicks off in less than two weeks. Google needs to provide clarity on its agent strategy with Gemini and show that it can find sustainable revenue from the broader AI ecosystem.
Google has gone from AI laggard to infrastructure winner in short order. Now it's projecting capital expenditures of up to $190 billion this year, more than double its capex for 2025. For investors to get a return on that investment, Google can't afford to slip up.
Analysts at Argus said in a report after earnings that "risks of Alphabet's capex spend are salient." But they have a buy rating on the stock and view the company's ability to afford those expenditures versus the likes of OpenAI as a "competitive advantage."
WATCH: Google leans on custom chips as it pushes deeper into enterprise AI
Four leading AI models discuss this article
"Alphabet's current cloud backlog growth is largely artificial, driven by captive demand from venture-backed startups that rely on Google's own capital to survive."
Alphabet's valuation is increasingly detached from organic search growth and tethered to a circular capital ecosystem. While the $462 billion cloud backlog is impressive, the concentration risk—specifically the Anthropic deal—is a flashing red light. We are seeing 'vendor financing' disguised as cloud demand, where Google effectively funds its own revenue growth by providing capital to startups that then spend it on Google’s TPUs. With CapEx swelling to $190 billion, the margin for error is razor-thin. If Google cannot translate this infrastructure dominance into high-margin enterprise software revenue, the return on invested capital will collapse, leading to a valuation multiple compression similar to what we saw with Oracle.
The 'circular funding' critique ignores that Google’s massive cash flow allows it to subsidize the development of the next generation of AI winners, effectively capturing the 'picks and shovels' market share regardless of which specific startup ultimately wins the model wars.
"GOOGL's TPU backlog provides superior risk-adjusted exposure to AI compute demand compared to NVDA, with profitability buffering capex intensity."
Alphabet's full-stack AI positioning—from TPUs ($61B backlog through 2027 per Mizuho) to Gemini models, DeepMind research, and 2B+ user distribution—drives sustainable revenue beyond hype, with cloud backlog doubling to $462B and OI accelerating. This briefly eclipsing NVDA's market cap underscores TPU viability as a lower-multiple compute play (vs NVDA's 50x+ forward P/E). Anthropic's $200B commitment highlights early-stage demand, but Google's profitability funds $190B capex without dilution. I/O in two weeks is pivotal for agent monetization clarity, potentially re-rating GOOGL to 30x on 20%+ EPS growth.
40%+ of the backlog tied to cash-burning Anthropic mirrors Oracle's OpenAI trap, where backlog hype led to a 50% stock plunge on concentration revelation. Rampant $190B capex risks negative ROI if AI use cases don't scale exponentially.
"Google's valuation has decoupled from the underlying business by pricing in Anthropic-dependent backlog as permanent revenue, a mistake Oracle investors made in 2024."
The article frames Google's 160% rally as justified by 'owning the stack,' but this conflates two separate theses that are decoupling. Yes, Google has chips, models, and distribution—genuine structural advantages. But the cloud backlog story is increasingly hollow: Anthropic represents 40%+ of the $462B backlog, a circular flow where Google funds Anthropic, Anthropic spends with Google, and neither is yet profitable at scale. The Oracle precedent is not reassuring—Oracle's backlog proved illusory. Meanwhile, Nvidia's 15% YTD return despite 78% expected revenue growth suggests the market has already priced in AI infrastructure winners. Google's $190B capex guidance is aggressive; returns on that capital remain speculative.
Google's TPU business and custom silicon advantage are real and differentiated from the Anthropic circular funding—if TPUs capture even 15-20% of the $61B Mizuho estimates, that's organic revenue Google controls, and the company's profitability and cash generation mean it can afford to outspend rivals on capex in ways OpenAI cannot.
"Alphabet's AI leadership and Anthropic tie-up can sustain upside only if Anthropic-driven backlog turns into durable, profitable cloud revenue; otherwise, the rally risks a multiple unwind."
The article frames Alphabet as a top AI player with a diversified stack—models, chips, cloud, and distribution—and highlights a looming Anthropic-backed cloud backlog as a key growth driver. However, the strongest counter is concentration risk: if Anthropic’s deal disproportionately inflates backlog (potentially >40% of future contracted revenue) and/or fails to translate into durable, margin-rich cloud profits, the rally could deflate as the market re-prices AI exposure. Add in heavy capex, regulatory scrutiny, and Nvidia as a perpetual compute heavyweight, and Alphabet’s relative advantage hinges on how quickly cloud profitability materializes beyond backlogs.
Anthropic exposure could be a double-edged sword: if the deal proves costly or renegotiates unfavorably, Alphabet’s supposed AI moat loses some steam and the backlog-based optimism fades.
"Comparing Google's valuation to Nvidia's ignores that Google's cloud growth is currently inflated by circular capital flows rather than organic enterprise demand."
Grok, your comparison of Google to Nvidia’s 50x forward P/E is a category error. You are comparing a mature, ad-revenue-dependent conglomerate to a pure-play hardware monopoly. Google’s cloud margins are structurally capped by the need to subsidize the 'circular' ecosystem you both identified. If the Anthropic backlog is indeed 40% of the total, Google is essentially buying its own revenue growth. This isn't 'full-stack' dominance; it's a balance sheet risk masquerading as enterprise demand.
"AI disruption to search ads threatens the FCF funding Alphabet's AI capex, a risk unaddressed here."
Panel fixates on cloud backlog risks, but ignores AI's direct assault on Alphabet's core: search ads (76% of 2023 revenue, $237B). Google's AI Overviews already slash click-through rates 30-50% per Similarweb, accelerating zero-click searches. Without I/O breakthroughs in search monetization, FCF ($69B TTM) craters, rendering $190B capex a FCF black hole regardless of Anthropic circularity.
"Search decay is real, but the FCF black hole thesis depends on whether Google's search monetization floors at 40% of today's levels or 70%—a critical unknown the panel hasn't quantified."
Grok surfaces the real existential threat—search monetization collapse—that the backlog debate obscures. But 30-50% CTR declines need context: Google's search volume still grows, and AI Overviews include ads. The risk isn't zero; it's margin compression, not revenue cliff. If Google monetizes 60% of current search volume at 70% of prior margins, FCF still funds capex. The question: does that math hold at scale?
"Capex-driven ROI risk could turn negative if monetization from I/O is weaker than expected, undermining the bull case for 190B of capex."
Grok, your I/O-focused monetization thesis could still be undone by cloud unit economics. Even if agent monetization improves, Alphabet’s margins rely on subsidizing compute to win share, and $190B of capex quadruples exposure to any misstep. If I/O shows only modest margin uplift or delayed profitability, the market will reprice AI upside. Concentration risk remains, but the bigger risk is capex-driven ROI turning negative long before a durable monetization path emerges.
The panel is divided on Alphabet's valuation, with concerns about concentration risk in cloud backlog and heavy capex, but also acknowledging AI's potential to drive growth and disrupt core search ads.
AI's potential to drive growth and disrupt core search ads.
Concentration risk in cloud backlog, specifically the Anthropic deal, and potential search monetization collapse.