Hey there, bargain hunter.

Something happened to Alphabet on June 22 that the market is still sorting out. The stock dropped roughly 5% in a single session, its worst day in more than a year, erasing what multiple analysts estimated at close to $250 billion in market capitalization. At roughly $347 today, GOOGL now sits about 14% below its record closing high of $408.61, reached just five weeks ago on May 18.

The trigger was not an earnings miss. It was not a regulatory fine. It was two resignations.

Noam Shazeer, the VP of engineering and co-lead of Google’s Gemini AI models, announced his departure to OpenAI on June 18 — less than two years after Google paid $2.7 billion to bring him back through a partnership with his startup Character.AI. He is widely known as a co-author of the 2017 paper “Attention Is All You Need,” the foundational transformer architecture that underpins virtually every major large language model built since. His move is a significant blow to Google’s AI ambitions and a meaningful win for OpenAI.

Then, one day later, the second shoe dropped. John Jumper, DeepMind’s VP and engineering fellow, announced he was leaving after nearly nine years to join Anthropic. Jumper won the 2024 Nobel Prize in Chemistry alongside Google’s Demis Hassabis for AlphaFold — the system that predicts protein structures and has mapped more than 200 million of them, transforming how drug discovery works at scale.

Two researchers. Forty-eight hours. A quarter-trillion dollars gone.

Here is what is interesting, though. The talent story is real, but it might not be the actual problem.

The FCF Cliff Nobody Wants to Talk About

Capital expenditures reached $35.7 billion in Q1 alone. Full-year 2026 capex guidance is $180 to $190 billion — raised from the prior $175 to $185 billion range just one quarter ago. Free cash flow fell 47% year-over-year in Q1 to $10.1 billion.

That is not a typo. One quarter. $35.7 billion out the door.

For the full year, consensus estimates project FCF of approximately $20.5 billion in 2026, down roughly 72% from $73.3 billion in 2025. This compression is real and is the core reason valuation metrics that once looked comfortable now look stretched on a near-term basis. Trailing twelve-month FCF has already dropped from $74.9 billion a year ago to $64.4 billion as of Q1, with capex running at roughly 90% growth year-over-year.

Slight tangent, but it matters here. CFO Anat Ashkenazi said on the Q1 earnings call that 2027 capex will “significantly increase” compared to 2026. Bloomberg Intelligence has estimated that 2027 spending could possibly reach $300 billion. That is an extraordinary thing to say about one of the most profitable businesses ever built. And yet the analyst community has barely flinched.

What the Business Actually Looks Like

Alphabet delivered Q1 2026 revenue of $109.9 billion, up 22% year-over-year and ahead of analyst expectations. Operating income grew 30% to $39.7 billion, with an operating margin of 36.1%. That marked the company’s eleventh consecutive quarter of double-digit revenue growth.

Google Cloud grew 63% year-over-year to $20 billion in Q1, with a contracted backlog of $460 billion. YouTube advertising added $9.9 billion, up 11%. Total advertising revenue hit $77.3 billion, up 15% — though for context, Meta’s ad business grew 33% in the same period and Amazon’s grew 24%. Google is growing, but it is no longer the fastest-growing major ad platform.

So the business is growing fast. Cloud is compounding. The backlog is enormous. The question is whether the spending required to capture that backlog destroys near-term returns in a way the stock has not yet fully absorbed.

And then there is the equity raise. Alphabet initially announced an $80 billion offering in early June to fund AI infrastructure. The deal was oversubscribed and upsized — the final figure came in at $84.75 billion, including a $10 billion private placement from Berkshire Hathaway. This is Alphabet’s first large-scale equity offering since 2010, and it carries a dilution overhang that investors are still pricing in.

Where the Talent Story Actually Bites

Here is the part people are skipping. The departures of Shazeer and Jumper are not, by themselves, going to break Gemini next quarter. Model development is a team sport, and Google DeepMind retains thousands of researchers. Shazeer and Jumper leaving in the same week does not automatically weaken Gemini’s near-term capabilities.

What it does do is shift something harder to quantify. Perception. Momentum. The direction talent wants to go.

Industry analysis from The Next Web noted that engineers at DeepMind have been leaving for Anthropic at a ratio of nearly 11 to 1. Jefferies analyst Brent Thill called the departures mostly “noise” that does not change the bullish investment case. D.A. Davidson’s head of technology research Gil Luria took the opposite view, warning that Google may be falling visibly behind in the war for frontier AI talent.

Worth noting too: Alphabet is joining the Dow Jones Industrial Average on June 29, replacing Verizon. That is a milestone, but history suggests Dow inclusion rarely delivers a meaningful stock lift. It is a signal of market recognition, not a catalyst.

The Valuation Math Right Now

At the current price of approximately $347, the S&P Global consensus target of $432.83 across 63 analysts implies roughly 25% upside over 12 months. The lowest target among covering analysts sits around $340. No major analyst currently has a Sell rating on the stock — 28 of 33 recent ratings are Buy, five are Hold, zero are Sell.

That 25% upside gap is real. And the business, measured by revenue and cloud growth, is genuinely strong. But the FCF story and the talent story are converging at the same time, and the market is still figuring out how much weight to assign each one.

The next significant milestone arrives on July 28, when Alphabet is scheduled to report its second-quarter 2026 earnings. That report will either begin to calm investor nerves or confirm their worst fears about the capex cycle.

The part investors are probably underweighting: this is not a fundamentals story yet. The fundamentals are fine. It is a confidence story. And those are the hardest to model.