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Investors Favor Alphabet’s AI Spending Over Meta’s Despite Both Beating Earnings Expectations

Despite both Meta and Alphabet surpassing earnings expectations and raising AI spending forecasts, investors reacted differently, with Alphabet’s stock rising 7% while Meta’s fell 7%, highlighting the market’s preference for companies with cloud infrastructure that can monetize AI investments.

On Wednesday, both Meta and Alphabet surpassed analyst expectations in their quarterly earnings, marking their most robust growth in several years. The companies also raised their annual capital expenditure projections, signaling a continued commitment to investing heavily in artificial intelligence infrastructure.

However, Wall Street responded differently to the two tech giants. Alphabet’s stock surged 7% in after-hours trading, whereas Meta’s shares dropped by 7%.

This divergence continues a pattern that has weighed on Meta during much of the generative AI expansion. Unlike Alphabet, Microsoft, and Amazon, which operate vast cloud infrastructure businesses that convert AI investments into revenue, Meta lacks such a division.

Consequently, convincing investors of the return on AI spending is more challenging for Meta CEO Mark Zuckerberg, as the benefits must primarily manifest through higher ad revenue and improved profitability.

All four major tech firms released their quarterly results on Wednesday. While Alphabet, Microsoft, and Amazon reported cloud divisions that outperformed expectations, Meta was the only one among them to see its stock decline.

Leading up to the earnings releases, Alphabet’s stock had climbed 118% over the past year, significantly outpacing Meta’s 21% gain. Amazon rose 40%, and Microsoft increased by approximately 8%.

«Google is outperforming its peers which is well reflected in the current valuation,» analysts at D.A. Davidson wrote in a report after the results, maintaining their neutral rating.

The capital expenditure figures across the board are staggering and continue to grow, partly because companies are spending more on memory due to a global shortage driven by surging AI demand.

Alphabet updated its 2026 capex guidance range to $180 billion to $190 billion, up from its previous estimate of $175 billion to $185 billion. CFO Anat Ashkenazi said the company’s 2027 capex is expected to «significantly increase» from this year’s figure.

The spending forecast was coupled with revenue growth of 20%, the fastest for any quarter since 2022. Cloud revenue soared 63%, and Alphabet said it has a backlog of $460 billion, nearly double where it was last quarter, because of demand for AI infrastructure.

Defending the Spending

Meta upped its capex guidance for the year to between $125 billion and $145 billion, from a prior range of $115 billion to $135 billion, a move the company said, «reflects our expectations for higher component pricing this year and, to a lesser extent, additional data center costs to support future year capacity.»

Similar to when Meta raised its capex forecast in October, Zuckerberg spent time on the earnings call defending the company’s hefty AI spending, pitching it as necessary for future growth while bolstering the core online ad business.

«The trend over the last few years seems clear, that we are seeing an increasing return on the amount that we can improve engagement for people and value for advertisers,» Zuckerberg said. «This encourages us to continue investing heavily in what we expect will provide increasing value over the coming years as well.»

On the revenue side, growth is more impressive than at Google. Sales jumped 33% from a year earlier, marking the strongest period for expansion since 2021.

Zuckerberg said the company is «very focused on increasing the efficiency of our investments,» and is developing custom silicon with Broadcom while investing in a «significant amount of AMD chips to complement the new Nvidia systems that we’re rolling out as well.»

Meta CFO Susan Li told analysts that the company needs to spend big on AI in order to «meet our infrastructure needs and ensure we maximize our strategic flexibility over the coming years.» The company also has to ensure it has enough computing resources to train more AI models, build more products and help its AI agent push for consumers and businesses worldwide, Li said.

She added that Meta’s recent «multi-year cloud deals and our infrastructure purchase agreements» contributed to a $107 billion jump in contractual commitments during the quarter.

Still, investors are waiting to see new revenue streams come to fruition after Zuckerberg spent the past 10 months overhauling his company’s AI strategy and bringing in high-priced talent. Earlier this month, Meta debuted Muse Spark as its first proprietary foundation model.

Alphabet, meanwhile, has been cashing in on its bets, including on homegrown chips called tensor processing units (TPUs), which are increasingly competing with Nvidia’s graphics processing units (GPUs).

CEO Sundar Pichai addressed the momentum in the chip side of the business several times on Wednesday’s call.

«There’s tremendous demand for both AI solutions as well as AI infrastructure, including massive interest in our GPU offerings, as well as TPUs,» he said.

WATCH: Meta shares sliding

Technologies

Google races to put Gemini at the center of Android before Apple’s AI reboot

Google is using its latest Android rollout to position Gemini as the AI layer across phones, Chrome, laptops and cars.

Google is using its latest Android rollout to make Gemini less of a chatbot and more of an operating layer across the phone, browser, car and laptop, just weeks before Apple is expected to show its own Gemini-powered Apple Intelligence reboot at WWDC.
Ahead of its Google I/O developer conference next week, the company previewed a number of Android updates, including AI-powered app automation, a smarter version of Chrome on Android, new tools for creators, a redesigned Android Auto experience, and a sweeping set of new security features.
Alphabet is counting on Gemini to help Google compete directly with OpenAI and Anthropic in the market for artificial intelligence models and services, while also serving as the AI backbone across its expansive portfolio of products, including Android. Meanwhile, Gemini is powering part of Apple’s new AI strategy, giving Google a role in the iPhone maker’s reset even as it races to prove its own version of personal AI on the phone is further along.
Sameer Samat, who oversees Google’s Android ecosystem, told CNBC that Google is rebuilding parts of Android around Gemini Intelligence to help users complete everyday tasks more easily.
“We’re transitioning from an operating system to an intelligence system,” he said.
As part of Tuesday’s announcements. Google said Gemini Intelligence will be able to move across apps, understand what’s on the screen and complete tasks that would normally require a user to jump between multiple services. That means Android is moving beyond the traditional assistant model, where users ask a question and get an answer, and acting more like an agent.
For instance, Google says Gemini can pull relevant information from Gmail, build shopping carts and book reservations. Samat gave the example of asking Gemini to look at the guest list for a barbecue, build a menu, add ingredients to an Instacart list and return for approval before checkout.
A big concern surrounding agentic AI involves software taking action on a user’s behalf without permissions. Samat said Gemini will come back to the user before completing a transaction, adding, “the human is always in the loop.”
Four months after announcing its Gemini deal with Google, Apple is under pressure to show a more capable version of Apple Intelligence, which has been a relative laggard on the market. Apple has long framed privacy, hardware integration and control of the user experience as its advantages.
Google’s Android push is designed to show it can bring AI deeper into the device experience while still giving users control over what Gemini can see, where it can act and when it needs confirmation.
The app automation features will roll out in waves, starting with the latest Samsung Galaxy and Google Pixel phones this summer, before expanding across more Android devices, including watches, cars, glasses and laptops later this year.
The company is also redesigning Android Auto around Gemini, turning the car into another major surface for its assistant. Android Auto is in more than 250 million cars, and Google says the new release includes its biggest maps update in a decade and Gemini-powered help with tasks like ordering dinner while driving.
Alphabet’s AI strategy has been embraced by Wall Street, which has pushed the company’s stock price up more than 140% in the past year, compared to Apple’s roughly 40% gain. Investors now want to see how Gemini can become more central to the products people use every day.
WATCH: Alphabet briefly tops Nvidia after report of $200 billion Anthropic cloud deal

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Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to ‘drive into standing water’

Waymo issued a voluntary recall of about 3,800 of its robotaxis to fix software issues that could allow them to drive into flooded roadways.

Waymo is recalling about 3,800 robotaxis in the U.S. to fix software issues that could allow them to “drive onto a flooded roadway,” according to a letter on the National Highway Traffic Safety Administration’s website.
The voluntary recall is for Waymo vehicles that use the company’s fifth and sixth generation automated driving systems (or ADS), the U.S. auto safety regulator said in the letter posted Tuesday.
Waymo autonomous vehicles in Austin, Texas, were seen on camera driving onto a flooded street and stalling, requiring other drivers to navigate around them. It’s the latest example of a safety-related issue for the Alphabet-owned AV unit that’s rapidly bolstering its fleet of vehicles and entering new U.S. markets.
Waymo has drawn criticism for its vehicles failing to yield to school buses in Austin, and for the performance of its vehicles during widespread power outages in San Francisco in December, when robotaxis halted in traffic, causing gridlock.
The company said in a statement on Tuesday that it’s “identified an area of improvement regarding untraversable flooded lanes specific to higher-speed roadways,” and opted to file a “voluntary software recall” with the NHTSA.
“Waymo provides over half a million trips every week in some of the most challenging driving environments across the U.S., and safety is our primary priority,” the company said.
Waymo added that it’s working on “additional software safeguards” and has put “mitigations” in place, limiting where its robotaxis operate during extreme weather, so that they avoid “areas where flash flooding might occur” in periods of intense rain.
WATCH: Waymo launches new autonomous system in Chinese-made vehicle

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Technologies

Qualcomm tumbles 13% as semiconductor stocks retreat from historic AI-fueled surge

Semiconductor equities reversed sharply after a broad AI-driven advance, with Qualcomm suffering its worst day since 2020 amid inflation concerns and rising oil prices.

Semiconductor stocks fell sharply on Tuesday, reversing course after an extensive rally that had expanded the artificial intelligence investment theme well past Nvidia and driven the industry to unprecedented levels.

Qualcomm plunged 13% and was on track for its steepest single-day decline since 2020. Intel shed 8%, while On Semiconductor and Skyworks Solutions each lost more than 6%. The iShares Semiconductor ETF, which benchmarks the overall sector, fell 5%.

The sell-off came after a key gauge of consumer prices came in above forecasts, and as conflict in Iran pushed crude oil higher—prompting investors to shift away from riskier assets.

The preceding advance had widened the AI opportunity set beyond longtime industry leader Nvidia, which for much of the past several years had largely carried the market to new peaks on its own.

Explosive appetite for central processing units, along with the graphics processing units that power large language models, has sent chipmakers to all-time highs.

Market participants are wagering that the shift from AI model training to autonomous agents will lift demand for additional AI hardware. Among the beneficiaries are memory chip producers, which are raising prices as supply remains tight.

Micron Technology slid 6%, and Sandisk cratered 8%. Sandisk’s stock has surged more than six times over since January.

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