Tech
Allen & Co Brings Together Media And Tech Titans In Sun Valley
Google CEO Sundar Pichai in Sun Valley, Idaho (Kevin Dietsch/Getty Images)

Analysts like Google’s earnings report, even if investors didn’t

These analysts think doubling capex is a good sign.

Rani Molla

Investors aren’t reacting positively to Google’s supercharged spending plans — the company said it will nearly double its capital expenditure this year — with the stock down about 4% today after reporting earnings Wednesday. But analysts are more upbeat.

Here’s a selection of recent reports:

Bank of America Global Research titled its note “Gemini halo effect shining bright,” arguing that “agentic capabilities and monetization of the Gemini app (750mn MAUs) with advertising are revenue catalysts ahead.” The firm’s analysts also cited record Google Search usage as evidence that AI is driving an “expansionary cycle,” not cannibalizing demand.

“We continue to see opportunity for better monetization of zero-click searches that are being converted to AI Overviews as a key upside driver from here,” they wrote.

Morgan Stanley Research analysts struck a similar bullish tone, arguing that Google’s accelerating revenue and sharply higher capital spending are reinforcing the advantages of the largest tech platforms. The firm said Alphabet is showing a “strong GenAI ROIC signal” across both Search and Google Cloud, likening the moment to Meta’s recent earnings-driven reset.

They noted that Search revenue rose 17% year over year while Google Cloud grew 48%, far ahead of expectations. Even more important for durability, Google Cloud backlog jumped 55% quarter over quarter to roughly $240 billion, signaling sustained demand for AI infrastructure and enterprise AI services.

“The leading scaled companies with the most data, reach and ability/willingness to invest are seeing the benefits of their flywheels,” the analysts wrote, arguing that the gap between megacaps and smaller tech players is likely to widen faster than previously expected.

Morningstar analyst Malik Ahmed Khan said the fourth-quarter results reinforced Alphabet’s shift from a perceived AI laggard to a “clear leader in AI,” with AI now driving growth across both Search and Cloud.

While investors remain wary of Alphabet’s nearly doubled capital spending, Morningstar called the mammoth plan a “vote of confidence in AI demand,” saying the company is well positioned to turn that investment into revenue across Search, Cloud, and emerging agentic use cases.

Wedbush Securities’ Dan Ives raised Alphabet’s price target to $370, citing strong fourth-quarter results that reinforced the company’s position as a “leading AI beneficiary.” Like the others, he cited strong Search and Cloud growth along with the Cloud revenue backlog.

While Alphabet’s projected $175 billion to $185 billion in 2026 capital spending is likely to pressure margins, the firm viewed the investment as supportive of long-term growth, pointing to rising Gemini adoption, expanding cloud margins, and early progress monetizing AI across Search and Cloud.

“We see additional opportunity to unlock more use cases and drive incremental monetization,” Ives wrote.

Deutsche Bank analysts also came out bullish, saying Alphabet delivered a strong quarter despite a “difficult setup” after the stock had already rallied about 20% since Q3.

While Deutsche acknowledged Alphabet’s 2026 capex guidance was well above consensus, it argued the spending will help build an infrastructure “moat that few (if any) can replicate — and perhaps just as importantly, one that Alphabet can best monetize” across its advertising, subscription, and cloud businesses.

Alphabet’s vertically integrated cloud strategy, which spans its own data centers, custom chips, software, and AI models, is increasingly resonating with customers, the analysts said. They noted that Google added more $1 billion-plus cloud deals in 2025 than in the prior three years combined, underscoring the strength of demand.

Deutsche raised its price target to $390 from $370.

More Tech

See all Tech
tech

Tesla and SpaceX to jointly run “most epic chip-building exercise in history by far”

In the latest instance that Elon Musk views Tesla and SpaceX as effectively one company, the CEO of both announced Saturday that the two firms will join forces on his Terafab project — what Musk says will be “the most epic chip-building exercise in history by far.”

Many of the details mirror what we reported last week, with one major addition: SpaceX will play a leading role.

Terafab, whose location is still under consideration as it the facility would be too big to fit on the Giga Texas campus, aims to vertically integrate the entire chipmaking process, from design and fabrication to testing and packaging. The goal is to supply AI chips to Tesla, SpaceX, and its subsidiary, Musk’s AI company, xAI, whose suppliers Musk said will be unable to handle their demand in “three or four years.” While Tesla has designed its own chips, it has never manufactured them.

Musk said the facility is intended to produce up to 1 terawatt of compute annually. The plant will manufacture two types of chips: inference chips for Tesla’s robotaxis and Optimus robots, and custom AI chips intended for space-based applications like solar-powered AI satellites. According to Musk, roughly 80% of the compute will be allocated to space-related uses, with the remaining 20% supporting projects on Earth.

Morgan Stanley has estimated the project could cost Tesla an additional $35 billion to $45 billion in capital expenditures, though now perhaps some of that capex might be shared with SpaceX. Like many of Musk’s ambitions, the project is enormous in scale and will likely to take years to complete — potentially into the end of the decade or beyond.

tech
Jon Keegan

White House releases AI legislative framework

The White House has released its policy wish list for AI legislation — and what it wants excluded.

Still, the odds of any actual AI regulation getting passed in Congress right now are very slim.

The “National Policy Framework” for AI lays out seven issues that the Trump administration wants to see reflected in any congressional action around AI.

The items listed in the framework include:

  • Child safety protections, age verification, and parental controls for AI.

  • Data center projects voluntarily pay their own way when it comes to power, but incentives should still be encouraged.

  • Copyright laws should allow for training models on copyrighted works, while protecting individuals’ voice and likeness.

  • Free speech should be defended for AI systems, preventing the government from pressuring companies to ban or alter content based on partisan agendas.

  • A light touch to regulation to encourage innovation, and no federal agency to regulate AI.

  • American workers vulnerable to AI job replacement should be retrained and supported.

  • Federal AI rules should preempt any state AI legislation to prevent a patchwork of laws that companies would hate.

The policy list is the latest in a series of proposals from the AI-friendly Trump administration.

The items listed in the framework include:

  • Child safety protections, age verification, and parental controls for AI.

  • Data center projects voluntarily pay their own way when it comes to power, but incentives should still be encouraged.

  • Copyright laws should allow for training models on copyrighted works, while protecting individuals’ voice and likeness.

  • Free speech should be defended for AI systems, preventing the government from pressuring companies to ban or alter content based on partisan agendas.

  • A light touch to regulation to encourage innovation, and no federal agency to regulate AI.

  • American workers vulnerable to AI job replacement should be retrained and supported.

  • Federal AI rules should preempt any state AI legislation to prevent a patchwork of laws that companies would hate.

The policy list is the latest in a series of proposals from the AI-friendly Trump administration.

tech
Jon Keegan

WSJ: OpenAI rolling everything into one desktop “superapp”

OpenAI is trying to eliminate distractions and focus on building AI that helps with enterprise productivity tasks like coding and organizing spreadsheets.

As part of that effort, the startup is consolidating some of its side quests into one superapp, according to a report from The Wall Street Journal.

The plan is to merge ChatGPT, Codex, and the Atlas browser together, as it seeks to focus its efforts as it competes with Anthropic and Google for lucrative enterprise customers.

OpenAI Head of Apps Fidji Simo told staffers in an internal memo that “we realized we were spreading our efforts across too many apps and stacks, and that we need to simplify our efforts. That fragmentation has been slowing us down and making it harder to hit the quality bar we want,” per the report.

The plan is to merge ChatGPT, Codex, and the Atlas browser together, as it seeks to focus its efforts as it competes with Anthropic and Google for lucrative enterprise customers.

OpenAI Head of Apps Fidji Simo told staffers in an internal memo that “we realized we were spreading our efforts across too many apps and stacks, and that we need to simplify our efforts. That fragmentation has been slowing us down and making it harder to hit the quality bar we want,” per the report.

Latest Stories

Sherwood Media, LLC produces fresh and unique perspectives on topical financial news and is a fully owned subsidiary of Robinhood Markets, Inc., and any views expressed here do not necessarily reflect the views of any other Robinhood affiliate, including Robinhood Markets, Inc., Robinhood Financial LLC, Robinhood Securities, LLC, Robinhood Crypto, LLC, Robinhood Derivatives, LLC, or Robinhood Money, LLC. Futures and event contracts are offered through Robinhood Derivatives, LLC.