Market Analysis10 min read
Money Is Fleeing AI. Is Broadcom's Tech Selloff the Entry Bell Value Investors Waited Three Years For?
While everyone asks "how much longer can AI run?", the value investor asks a different question: "when the tide goes out, who's wearing a swimsuit?" A rotation isn't doomsday — it's Mr. Market at his most emotional, which is exactly when you should be at your calmest.

One Earnings Report That Broke the "AI Only Goes Up" Consensus
In mid-2026, the most crowded trade in tech felt a chill for the first time. Broadcom's earnings pumped the brakes on the runaway AI rally, and investors quickly dumped tech stocks, rotating money into traditional sectors tied to a resilient economy. This was not a crash — it was a shift in emotional gear. And to anyone who reads markets closely, a gear shift often matters more than a crash.
The Information-style way to read this never asks "how much did it fall today?" It asks "what consensus did this fall change?" For two years, AI has been an almost religious belief: touch AI and your valuation could ignore cash flow. The significance of Broadcom's report is not in the numbers themselves, but in the fact that it made the market publicly question an assumption everyone took for granted — when, and in what form, does all this spending actually turn into profit?
Once that question is spoken aloud, it can never be taken back. That is the true starting point of a rotation: not because AI has no future, but because the market has begun to reprice the question of "when the money comes."
The $720 Billion Question Mark: Capex vs. Cash Flow
To understand this rotation, start with one number. Alphabet, Amazon, Meta and Microsoft plan to spend up to $720 billion this year, the overwhelming majority flowing into AI data centers, chips, and power. It is the most concentrated capital bet in commercial history. Bulls call it a moat; bears call it a black hole.
The value investor's view sits between the two, and is colder still: capex itself is not the problem — the payback period is. A data center can take years from groundbreaking to steady returns, while AI chips depreciate surprisingly fast. When a company pours tens of billions a year into an asset with highly uncertain returns, its free cash flow comes under pressure — and free cash flow is precisely the anchor of value investing. To see whether a company's earnings actually land in its pocket, start by understanding what free cash flow really is.
This is the deeper reason Broadcom's report ignited emotion: the market suddenly realized that AI's valuation premium rests on future cash flows, while in reality those cash flows are being eaten, bite by bite, by present-day capex. When the narrative and the financials begin to diverge, price starts to shake.
Graham's Mr. Market: Today He's Quoting a Fear Price
Benjamin Graham's greatest gift to investors is the metaphor of "Mr. Market" — a wildly emotional business partner who shows up every day to quote you a price. Some days he is euphoric and quotes the sky; some days he is despondent and dumps at fire-sale prices. Your job is not to catch his mood, but to exploit it.
For two years, Mr. Market has quoted a "greed price" on AI almost every single day. After Broadcom, he showed his fearful side for the first time. To a true value investor, that is not bad news — it is the prelude to opportunity: only when Mr. Market panics can the price he quotes finally fall below a business's intrinsic value.
But the key is discrimination — is this selloff discounting "bubble premium" or "quality assets"? Some AI names never had cash flow to begin with; their decline is simply a return to reality. Others — giants with real moats and real profits — if killed off by emotion, that is exactly the kind of Mr. Market error worth exploiting. To tell them apart, you need not a feeling but a sober valuation. Run a discounted cash flow valuation that prices in capex and payback periods, and you'll know whether today's price is cheap or merely "looks cheap."

Howard Marks's Pendulum: Where Are We on the Swing?
Oaktree's Howard Marks repeatedly stresses that market sentiment behaves like a pendulum, forever swinging between "excessive optimism" and "excessive pessimism," and rarely resting at the reasonable middle. For two years, AI pushed the pendulum to the optimistic extreme; this rotation is the first time it has begun to swing back.
Marks's wisdom is that the swing back tends to happen in waves — and to overshoot. The first leg down is usually not enough; it only squeezes out the most absurd bubble. The real opportunity often appears at the moment sentiment slides from "worry" to "disgust," when even good companies get dumped indiscriminately.
So the correct posture now is neither to bottom-fish nor to liquidate, but to build a "ready list." Write down the quality companies you genuinely want to own but have always found too expensive, calculate the price at which you'd act, and let the pendulum deliver that price to you. That is Marks's point: the most important thing in investing is not predicting how far the pendulum will swing, but knowing which side of it you're standing on.
Buffett's Thermometer: Fearful When Others Are Greedy, Greedy When Others Are Fearful
Warren Buffett's line "be fearful when others are greedy, and greedy when others are fearful" is quoted to death, yet almost no one actually pulls it off. The difficulty is not in the logic but in the timing: when the market truly turns fearful, your own fear usually peaks too.
This AI rotation is the live testing ground for that maxim. During the past two years of extreme AI greed, Buffett-style investors mostly chose to wait and be fearful — Berkshire's enormous cash pile is itself a posture. And when a rotation truly unfolds and fear starts spreading, the question becomes: do you dare, while others rush for the exits, to calmly open your ready list?
But Buffett's greed is never blind. Its preconditions are the "circle of competence" and the "margin of safety": buy only businesses you truly understand, and only when price is meaningfully below value. In the AI space, how many companies actually fall within an ordinary investor's circle of competence? And how many, even after a 30% drop, still have no margin of safety? Hold up those two rulers, and you can translate the noise of "others are fearful" into a clear answer to "should I be greedy." To systematically test a company through the masters' frameworks, explore the investing masters library and see how Buffett, Graham, and Marks each dissect the same trade.
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Frequently asked questions
Does the rotation out of AI stocks mean the bubble is bursting?
Not necessarily. A rotation is more a repricing of "when AI spending pays off" than an inevitable crash. It squeezes out the froth in names with no cash flow behind them, while companies with genuine moats and profits may simply be mispriced by short-term emotion. The key is distinguishing whether the decline is discounting premium or discounting assets.
Why does the big four's $720 billion in capex worry the market?
Because colossal capex depresses free cash flow, and free cash flow is the core of value-investing valuation. Data centers have long payback periods and AI chips depreciate fast, so the market is questioning the timing of returns — which challenges the valuation premium.
Should value investors bottom-fish AI stocks now?
The masters' frameworks point not to "bottom-fishing" but to "preparation": list the quality companies you truly want, use discounted cash flow to set the price you'd act on, then let Mr. Market deliver it. Blind bottom-fishing and blind liquidation are both driven by emotion, not value. This article is for educational purposes only and is not investment advice.
Don't let Mr. Market's mood decide for you — use Valuefocus master frameworks and valuation tools to calculate the real intrinsic value of every company in the rotation:
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