For most of the past two years, the market treated Google like a company one bad earnings call away from losing the internet.

Every AI headline pushed the same story. ChatGPT was killing search. Apple Intelligence was making Google irrelevant.

Then last week, Alphabet dropped the largest stock sale in corporate history. $84.75 billion. And Warren Buffett's Berkshire Hathaway showed up with a $10 billion check before the rest of the market could even blink.

The stock sold off anyway.

And honestly, I think that gap between what Buffett did and what the market did tells you more about where we are in this AI cycle than anything else you will read this week.

This Monday we are looking at GOOG. One side says the dilution is a red flag. The other side says Buffett does not write $10 billion checks into bad investments.

I have a view. Let's get into it.

The AI infrastructure boom isn't slowing down, and one name keeps showing up in analyst discussions: Super Micro Computer (SMCI). After surging nearly 70% in May, SMCI has become one of the biggest beneficiaries of AI server demand as hyperscalers and enterprises continue pouring billions into AI infrastructure. However, despite the momentum, Wall Street remains divided, with some analysts warning the stock may have already run ahead of fundamentals.

Bitcoin has fallen sharply, dropping below key support levels and recording one of its worst starts to a year in more than a decade. Investor money continues flowing out of Bitcoin ETFs while capital rotates toward AI-related stocks and high-profile growth stories. Some analysts point to fading ETF demand and investors chasing hotter AI opportunities as key drivers behind the recent weakness.

The search for the next trillion-dollar AI company continues. The investment thesis centers around relentless AI infrastructure spending, data center expansion, and the critical technologies needed to support the next generation of AI workloads. Investors looking beyond the obvious AI names may find this story particularly interesting, as the next wave of AI winners may come from the companies supplying the critical hardware that powers the revolution.

One grew revenue 50x after half his team quit over the strategy. One brought in 50K signups in a single day with no paid budget. One generated 100M+ views from a stunt that took 50 hours to conceive. One asked every prospect to demo the product themselves instead of demoing it for them.

None of them followed the safe playbook. They treated GTM like an experiment, moved before they had proof, and made bets most founders would never get approved.

HubSpot for Startups documented all 6 stories in the free Bold Bets Playbook. The risks they took, why it was risky, and what it returned.

Read the free Bold Bets Playbook

On June 1, Alphabet announced $84.75 billion in equity raises. The largest stock issuance in corporate history, larger than Petrobras's $70 billion offering in 2010.

The obvious read: a company so capital-hungry it is selling itself cheap to fund a bet nobody can guarantee will pay off.

That read is wrong.

Not because the dilution does not matter. Because it misses what Alphabet actually said when it made the announcement.

The company told investors directly: demand for its AI solutions is outpacing available supply. They have more contracted revenue than infrastructure to serve it.

This is not speculation. This is rationing.

So the real question is whether this is the most important capital allocation decision in tech history, or the most expensive overreach since the dot-com buildout.

Most of the coverage this week fixated on share dilution. Almost nobody talked about what was buried in the Q1 earnings report.

Google Cloud's backlog nearly doubled quarter-over-quarter to more than $460 billion. With approximately 50% expected to convert to revenue within 24 months, per the Q1 earnings call.

That is $230 billion in contracted future revenue already sitting on the books. Not projected. Contracted.

Cloud revenue hit $20 billion in Q1, up 63% year-over-year, per the earnings release. Cloud operating margin came in at 32.9%. A year earlier it was 17.8%.

That is not incremental improvement. That is a business remaking itself faster than the models can keep up.

AI solutions drove an 800% increase within the Cloud segment in Q1, per Alphabet's earnings release.

Companies growing at that rate, with that backlog, do not announce equity raises out of weakness. They announce them because they have more customers than capacity, and the gap is widening.

Now add the Berkshire angle.

Greg Abel committed $10 billion at $351.81 per share in a private placement. Berkshire had already tripled its Alphabet stake in Q1 2026 under Abel's leadership.

This is not a speculative position. This is the man Warren Buffett chose to run one of the greatest investment portfolios in history, writing the largest equity check Berkshire has written in years.

Companies do not raise $85 billion when they are uncertain about demand. They raise it when the revenue is already contracted and the only bottleneck is steel, silicon, and power.

That is the bull case. And it is harder to dismiss than the dilution story suggests.

Here is where I slow down, because the dilution concern is real and I am not going to wave it away.

Alphabet raised over $85 billion in debt across six currencies in the past year, per investor reporting. Add the $84.75 billion in equity from this offering. Total capital raised in roughly twelve months: approaching $170 billion.

Not a rounding error. A structural transformation in how this company is financing its future.

The 2026 CapEx guidance sits at $180 billion to $190 billion, with management signaling further increases in 2027. Free cash flow, the foundation of the Alphabet bull thesis for a decade, is being compressed in real time to fund infrastructure that may not generate full returns for three to five years.

The bear case is not "Google is losing to OpenAI."

The bear case is quieter: what if the AI buildout takes longer to monetize than the capital cycle can sustain?

That is what keeps me from loading up at current prices. Not fear that Google is failing. Fear that a stock up 121% in twelve months is pricing in flawless execution on a $170 billion program with zero historical precedent.

That is the risk the dilution argument is really pointing at. And it deserves to be taken seriously.

GOOG had one of the great runs of the past year, climbing roughly 121% from its 52-week low of $163.33 to a peak of $404.47. That kind of run builds in perfection, and the market has been slowly repricing that perfection for six weeks.

The stock is sitting around $365 this week. When the $84.75 billion raise hit the wires on June 1, GOOG opened down more than 3%.

Buyers stepped in. The stock partially recovered. Then it got sold right back down.

That pattern of failed bounces is the market having a conversation in real time about what this stock is worth with $170 billion in new capital obligations attached to it. Bulls keep pushing toward $380. Sellers keep winning.

There is a zone around $350 to $354 that has held as support twice recently and sits right where Berkshire entered at $351.81. If that floor holds, one of the most credible long-term buyers in the world is already sitting beneath you. If it breaks, the next meaningful support is closer to $320, and the story around this stock needs a different cast of characters to bring buyers back in any real size.

Cloud is the engine that makes the entire bull thesis work. Q1 delivered 32.9% margin, up from 17.8% a year earlier. The question for Q2 is whether that expansion holds or whether scaling infrastructure at this pace starts showing up in the cost line.

Because if cloud margins plateau while CapEx climbs toward $190 billion, the investment case gets significantly harder to defend. That is the single data point that will move this stock most over the next two reporting cycles.

Google Cloud's $460 billion backlog is the most underreported number in this entire story. If Q2 shows it continuing to grow while the conversion rate into recognized revenue holds, the case for this capital program shifts from speculative to structural.

Because the gap between contracted revenue and recognized revenue is where bull theses either get validated or quietly fall apart. That is the number worth tracking every quarter from here, and most retail investors are not even looking at it.

Secondary equity offerings often carry two phases of selling. The announcement drop is the first. The second leg comes as underwriters distribute shares over the following weeks.

Not every offering follows this playbook. But with $84.75 billion in new paper to absorb, a second leg of pressure through late June is plausible. Because forced-selling windows typically create better prices than the announcement date itself. That is not a reason to avoid GOOG. That is a reason to let patience do the work.

Greg Abel bought $10 billion at $351.81. That price is now permanently visible in the market's memory. If GOOG revisits that zone and Berkshire adds further, that is one of the most credible buy signals available in this market.

Because Berkshire does not average down into mistakes. They average down into conviction already built and tested twice over. That is a very different thing. That is the signal worth tracking above all others on this stock.

Alphabet posted $109.9 billion in revenue in Q1, up 22% year-over-year, its 11th consecutive quarter of double-digit growth, per the earnings release. But CapEx is now running at a pace that will consume a significant share of that revenue base every single year.

Because the market will eventually force a reckoning between revenue growth and capital intensity. That is the ratio that separates the smartest capital allocation in tech history from the most expensive miscalculation. Watch the spread between those two numbers every quarter from here.

Here is where I land.

Alphabet just made the boldest statement in its corporate history. An $84.75 billion equity raise that says: we are not waiting to see how AI plays out. We are building the infrastructure now, before the competition can close the gap.

The dilution is real. The free cash flow compression is real. The execution risk on a $170 billion program with no historical precedent is real.

But I have watched markets long enough to know what it looks like when a generational business makes a generational bet. It looks uncomfortable. It looks expensive. And six to twelve months later, it usually looks like the entry point everyone wishes they had taken.

Not at $365, with momentum still pointing lower.

At $350 to $354, where Berkshire already has a position and $460 billion in contracted Cloud revenue waits to convert, the risk-reward on this stock looks completely different. You are buying where one of the greatest long-term investors in history bought. You are buying a cloud business that just doubled its backlog in a single quarter while expanding margins by 15 points year-over-year.

The selloff is building the entry. Your time horizon determines whether you take it.

Mine is long enough that I am watching $350 very closely.

With AdQuick, executing Out Of Home campaigns is as easy as running digital ads. Plan, deploy, and measure your real-world advertising effortlessly — so your team can scale campaigns and maximize impact without the headaches.

Visit AdQuick.com

The best investing decisions rarely feel comfortable when you are making them.

Buffett buying preferred shares during the 2008 crisis looked reckless for months before it looked prescient. The pattern repeats because disciplined capital in uncomfortable moments is where durable returns are built.

Alphabet is spending $170 billion in twelve months to own the AI infrastructure of the next decade. The market is selling that news today. One of the greatest investors alive is buying it.

I know which side of that trade I want to be positioned for, at the right price.