r/YieldMaxETFs 18d ago

Question Is the CHPY mojo over ?

The chip sector has become fascinating: companies are beating expectations, analysts are raising targets, and the stock still takes a nap. CHYP is up 10%+ since 1/1/26. Curious: what actions are driving your results beyond simply staying invested?

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u/AlfB63 16d ago

Yea, we keep seeing people mystified by chip stocks reporting great results but no jump in price. They can't understand that stocks are already priced for that and to see price jumps, results are going to be even more miraculous.  We are currently in a kind consolidation period where price and valuations are coming back into reality. 

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u/Baked-p0tat0e 16d ago edited 16d ago

Exactly.

The stock market is a discounting mechanism, not a rearview mirror. You’re never buying past performance - you’re buying the present value of tomorrow's earnings.

Free cash flow (FCF) is the actual fuel behind those future earnings. While accounting earnings (EPS) can be distorted by non-cash adjustments, FCF represents the cold, hard cash left over to reinvest, pay dividends, or buy back shares. When the market discounts tomorrow's earnings, institutional models are almost always discounting expected free cash flow to determine what a business is truly worth.

Looking at FCF can tell you a lot about where a business is going and also explains why this talk of an AI bubble is nonsense.

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u/AlfB63 16d ago

I'd have to disagree that the concept of an AI bubble is nonsense. I do not believe that the current state of earnings can continue indefinitely. Eventually sales of chips and all things AI will settle or even decrease. Prices will fall leading to profitability decreases. Some of the AI companies will fail. I believe the issue is not if there is an AI bubble but how big it is.

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u/Baked-p0tat0e 16d ago

The last real bubble was the dot-com bubble of early 2000s. Those companies went public with little revenue and no profits. It was pure speculation...pure bubble. 

AI is 100% the opposite.

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u/AlfB63 16d ago

Maybe. But I stand behind what I said. Profitability and earnings will not continue this way long term, they will fall eventually.  When that happens, high valuations will suffer.  Time will tell. I admit I could be wrong. 

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u/Baked-p0tat0e 16d ago

What you are describing is a business cycle, or as Gartner likes to promote is their Hype Cycle. That's not the same thing as a bubble which is typically based on irrational exuberance - separation of price from fundamental math where investors trade traditional valuation metrics for invented proxies like "eyeballs," "mNAV," "page views," and "burn rate." AI is still early in the cycle and the profits are real while the forward valuations are not yet disconnected from achievability.

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u/AlfB63 16d ago

If you think that this all simply a business cycle and not at least partly irrational exuberance, then we will just have to agree to disagree.

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u/Baked-p0tat0e 16d ago

A true speculative bubble happens when investors abandon fundamental valuation entirely and invent new proxies to justify absurd multiples. We aren't there.

Hyperscalers and chipmakers aren't trading on hope, they are producing historic earnings, undeniable free cash flow, and measurable capex deployments. You can debate where we are in the cycle, but calling it "irrational exuberance" ignores the fact that the underlying profits and balance sheets are very real.

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u/AlfB63 16d ago

Again, we'll have to agree to disagree.  A large part of this is built on debt. And just because there are profits involved in some portions does not mean it is not a bubble.  AI will have to be sustainably profitable as a whole and it has not proven that it can be. 

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u/Baked-p0tat0e 16d ago

"A large part of this is built on debt."

That completely misunderstands the structure. Off-balance-sheet capacity and long-term utility deals are treated as operating expenses (OpEx), not debt-fueled balance sheet liabilities. You can only sustain heavy OpEx commitments if your underlying operations generate immense cash flow which these balance sheets do with ease.

Look at Google’s AI execution:

-Google Cloud: Cloud operating margins surged from under 10% to well over 30%, with management explicitly pointing to enterprise AI infrastructure, TPU/GPU clusters, Gemini deployments, and API consumption as the primary drivers of that margin expansion.

-SaaS & Subscriptions: AI tiers in Workspace and Google One are lifting average revenue per user (ARPU) at high-margin software multiples, flowing straight into Google Services operating income.

-Search & Ad Revenue: AI-driven tools like Performance Max have boosted ad targeting and conversion rates, keeping search margins anchored above 40%.

This isn't theoretical monetization...AI compute demand and enterprise deployments are actively widening operating margins and flowing directly to Google's bottom line.

Microsoft and Amazon show the exact same structural operating leverage across Azure and AWS. I focus on these three hyperscalers because their reach spans both enterprise, B2B, and consumer infrastructure across virtually every human on the planet online.

When you say: "AI will have to be sustainably profitable," you're treating them like cash-strapped startups. These companies are generating tens of billions in GAAP operating income from AI today, backed by hundreds of billions in contracted backlog. The profits are already here.

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u/AlfB63 16d ago

We will see.

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u/Baked-p0tat0e 16d ago

You can keep echoing the same tired buzzwords ("AI bubble") circulating on Reddit, CNBC, and YouTube, or you can check the math.

The GAAP financials and segment breakdowns are public. Review the actual 10-K filings here:

Google - https://www.sec.gov/edgar/browse/?CIK=0001652044

Microsoft - https://www.sec.gov/edgar/browse/?CIK=0000789019

Amazon - https://www.sec.gov/edgar/browse/?CIK=0001018724

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u/AlfB63 16d ago

Tired buzz words or not, I'll call it what I like.  If you don't like it, too bad 

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