Over the past week, Alphabet’s fundraising announcement has sparked two parallel debates in the technology and investment communities.
One is about the money. On June 1 (local time), Alphabet unveiled an equity financing plan totaling up to $80 billion, marking one of the largest equity raises in the history of major U.S. tech companies. The other is about the people. Berkshire Hathaway, which has long steered clear of tech stocks, subscribed to $10 billion of the offering through a private placement. While this isn’t Berkshire’s first purchase of Alphabet, it is by far its largest bet on the AI sector to date.
Within two days, Google’s Class A shares fell from $376.37 to around $361.85, a cumulative drop of about 3.86%, with an additional after-hours decline of roughly 2%. The market is fiercely debating the short-term dilution effect versus the long-term capital returns from AI.
Where exactly will this $80 billion go? And why did Berkshire choose this moment to make such a sizable move?
Alphabet’s Funding Sources Are Undergoing Structural Change
Alphabet’s $80 billion fundraising plan consists of three parts.
First, a $30 billion underwritten public offering, including both common stock and mandatory convertible preferred stock, with Goldman Sachs, JPMorgan, and Morgan Stanley acting as joint bookrunners. Second, a $40 billion at-the-market (ATM) offering, with shares to be sold in phases starting in Q3 2026, depending on market conditions. Third, a $10 billion private placement, fully subscribed by Berkshire Hathaway.
In terms of transaction structure, Berkshire is purchasing $5 billion of Class A common stock at $351.81 per share and $5 billion of Class C capital stock at $348.20 per share—both below the pre-announcement closing price. Of the total $10 billion, half will fund Alphabet’s AI capital expenditures, while the other half will primarily cover tax liabilities arising from employee equity vesting.
This capital strategy marks a significant shift for Alphabet. Over the past 12 months, Alphabet generated about $174 billion in operating cash flow and raised $85 billion through bond issuance, pushing total company debt above $100 billion. In early May, Alphabet completed its largest-ever euro-denominated bond issue and, for the first time, issued Canadian dollar bonds, raising nearly $17 billion in total. In February 2026, Alphabet also debuted bonds in Switzerland and the UK, alongside a $20 billion U.S. dollar bond issue.
With the era of persistently low interest rates now over, further debt expansion would drive up leverage. While issuing new equity does dilute shareholders, it brings in permanent capital for AI infrastructure—a strategic choice that signals something important: the demand gap for AI investment has outgrown what conventional financing frameworks can support.
Stock Price -4%: What Is the Market Worried About?
On the day of the announcement, Google (Nasdaq: GOOGL) closed at $376.37, down about 1.04%, with a total market cap of roughly $4.54 trillion. Over the next two trading days, the stock fell another 3.86%.
The market’s negative reaction centers on two main concerns.
First and foremost is dilution. With Alphabet’s market cap at about $4.5 trillion, the $80 billion in new equity translates to roughly 1.8% dilution. While not extreme on its own, investors are less concerned about the one-off math and more about the signal: when a company that has consistently bought back shares (with $62 billion in buybacks in 2024 and $46 billion planned for 2025) suddenly pivots to large-scale capital raising, it prompts a reassessment of management’s outlook on capital returns.
The second concern is valuation reset. In Q1 2026, Alphabet’s total revenue rose 22% year-over-year to $109.9 billion, beating expectations, with diluted EPS at $5.11. The annualized P/E remains in the 18–19x range, still reasonable for a large-cap tech stock. The post-announcement price drop should be seen as a composite reaction—a combination of "short-term dilution reflex" and "uncertainty over AI capex returns."
Berkshire’s $10 Billion Bet: The First Major AI Move of the Abel Era
Berkshire’s position in Alphabet didn’t materialize overnight.
Here’s the timeline: In Q3 2025, Berkshire first established a position in Alphabet (Class C shares), investing about $4.3 billion. In Q1 2026, Berkshire added more than 36.4 million Alphabet shares, increasing its position by about 204% quarter-over-quarter, bringing its stake to about $15.6 billion and moving Alphabet from tenth to seventh among Berkshire’s top holdings. With the latest $10 billion investment, Berkshire’s total Alphabet stake will rise to around $32 billion—about one-tenth of its equity portfolio—making Alphabet one of Berkshire’s top five public holdings.
This deal is seen as one of Greg Abel’s most significant bets since officially succeeding Warren Buffett as CEO in January 2026, and it’s also one of the largest stock offerings Berkshire has ever participated in.
Abel is steering Berkshire’s investment philosophy from "consumer + financials" toward "AI + platform technology." As of the end of March 2026, Berkshire’s cash reserves exceeded $380 billion. Alongside the big Alphabet buy, Berkshire’s portfolio moves are also telling: in Q1 2026, Berkshire exited Amazon and trimmed its Apple stake. This shift clarifies capital allocation priorities—Abel now puts Alphabet alongside Apple, American Express, Moody’s, and Coca-Cola as core holdings.
On the fundamentals, Alphabet’s Q1 2026 operating cash flow and underlying profits are approaching Berkshire’s traditional "cash cow" threshold. Explosive growth in cloud backlog further reinforces this logic.
In Q1 2026, Google Cloud revenue surpassed $20 billion in a single quarter for the first time, up a massive 63.4% year-over-year. Cloud backlog nearly doubled from about $240 billion to $462 billion, with roughly 50% expected to convert to revenue within 24 months—contractually locking in revenue visibility for the next two years. Google Cloud’s operating profit soared from $2.18 billion a year earlier to $6.6 billion, with operating margin rising from 17.8% to 32.9%. AI is rapidly shifting from a cost center to a profit center.
Alphabet vs. Microsoft: The AI Capex Race Reaches a Turning Point
2026 marks a historic peak for AI capital expenditures among tech giants. According to Wall Street estimates, Alphabet, Microsoft, Meta, and Amazon will collectively invest over $700 billion in technology infrastructure in 2026.
Alphabet has raised its 2026 capex guidance to $180–190 billion, up from the previous $175–185 billion range, and expects 2027 capex to "increase significantly" over 2026. In Q1 2026 alone, capex hit $35.67 billion, a sharp year-over-year increase.
Microsoft expects to spend $190 billion in capex in 2026, on par with Alphabet. Its annualized AI revenue now exceeds $37 billion, up 123% year-over-year. Azure and other cloud services revenue grew 40% year-over-year in fiscal Q3 2026.
However, the two companies have taken distinctly different paths to AI commercialization. Microsoft primarily monetizes AI through its enterprise Copilot suite, charging per seat. Alphabet’s AI monetization is more diversified—AI-driven search revenue grew 19.1% year-over-year, infrastructure services revenue via the Gemini API, and direct AI compute monetization within its cloud business.
On the compute supply side, Alphabet’s differentiated strategy is coming into focus—developing its own TPUs and Axion CPUs. Alphabet has begun offering TPUs directly to select customers for use in their own data centers. This vertical integration means Alphabet’s long-term marginal cost curve for capex is structurally advantaged compared to peers heavily reliant on external chip suppliers.
There are various frameworks for evaluating the sustainability of this capex cycle. A widely cited data point: the four tech giants’ combined 2026 capex is about $700 billion, while disclosed annualized AI-related revenue totals about $52 billion—a capex-to-current-revenue ratio of roughly 13:1. However, this comparison is structurally flawed—capex is an immediate outlay, while AI revenue recognition lags significantly. Alphabet management has made it clear that the cloud business is "compute constrained," and that the ability to supply AI infrastructure directly determines the ceiling for commercial revenue.
How to Buy Alphabet and Other U.S. Stocks Directly on Gate
For investors focused on the long-term AI trend, adding Alphabet to your portfolio no longer requires a traditional brokerage account. On June 1, 2026, Gate officially launched U.S. stock spot trading, allowing users to buy and sell stocks and ETFs from major markets like Nasdaq and the NYSE directly using USDT.
This service is enabled through compliant channels: Gate connects with regulated broker-dealers holding U.S. licenses and clearing qualifications, providing users with direct market access. Unlike tokenized stocks or CFD products, buying on Gate means acquiring the actual underlying assets traded on the NYSE or Nasdaq—granting the same clearing and settlement rights as traditional brokerage accounts. Securities assets are custodied by SIPC-member brokers, with corresponding protections where eligible.
As of June 3, 2026, Gate supports over 10,000 stocks and ETFs across the NYSE, Nasdaq, NYSE Arca, NYSE American, BATS, and other major exchanges. Users don’t need to convert USDT to fiat or transfer funds to a third-party broker; they can use their existing USDT balance to build a portfolio of U.S. stocks—from Google and Apple to Nvidia and Microsoft—in one place. Unlike tokenized products that often carry funding fees, Gate’s U.S. stock spot trading offers zero holding cost, making it ideal for long-term allocations.
For those interested in AI infrastructure investment, adding core AI compute names like Alphabet, Microsoft, and Nvidia via Gate allows you to closely track tech giants’ capex trends and AI commercialization progress.
Conclusion
Alphabet’s $80 billion fundraising and Berkshire’s $10 billion investment mark a new phase in the AI arms race—one defined by deep capital commitment. Alphabet is expanding its capital base through equity financing to accelerate AI infrastructure growth while maintaining financial strength. Berkshire, in turn, is placing its largest-ever AI bet under Greg Abel’s leadership.
Both sides are converging on a bullish outlook for AI commercialization. Alphabet’s $462 billion cloud backlog provides contractual visibility, while Berkshire’s private placement at a roughly 6% discount offers a strong capital endorsement. The intersection of these two logic streams points to a common direction: the moat in AI infrastructure is no longer about algorithmic superiority, but about who owns and continues to build the world’s physical compute backbone. This is a trend worth watching closely.
