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Did The Bust Just Begin? | Jesse Felder

Channel: Adam Taggart | Thoughtful Money® Published: 2026-06-11 10:00
Adam Taggart | Thoughtful Money®

Jesse Felder argues the stock market is in a prolonged topping process, with the AI/semiconductor boom now nearing an inflection point as data-center delays and cancellations collide with extreme valuation expectations. He also sees stagflation risks rising from war-driven energy shocks, higher inflation, and weaker hiring, which could force the Fed to tighten into a slowing economy. His preferred positioning is defensive diversification, with emphasis on commodities/real assets and especially energy, while he thinks precious metals may need to cool before offering a better entry.

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Detailed summary

Jesse Felder’s core thesis is that the current equity bull market is in its late-stage topping process and that the AI trade is beginning to transition from boom to bust. He argues the market is pricing in a future of near-certain, very high AI-related revenue growth, but the physical buildout required to support that path is running into hard limits: data centers have been delayed for much of the year, and cancellations are now starting to appear. In his view, that disconnect between analyst forecasts and construction reality is the key fault line in the AI story. He builds that case by pointing to several linked mechanisms. First, semiconductor and hyperscaler earnings look artificially strong because AI capex creates an accounting timing mismatch: revenues are recognized now while depreciation and related expenses show up later. …

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Main takeaways

  1. AI capex is, in Felder’s view, running ahead of real-world buildout capacity.
  2. Data-center delays and cancellations are the central near-term warning signal.
  3. He thinks the AI boom is inflating earnings and valuation expectations artificially.
  4. Stagflation is a meaningful macro risk: rising prices, weaker hiring, and tighter policy.
  5. Energy and broader real assets are his preferred hedge and opportunity set.
  6. He sees broad equity vulnerability if the AI complex rolls over.
  7. Diversification is the main portfolio defense he recommends.
  8. He is cautious on precious metals near term despite his longer-term constructive view.

Market read by horizon

Short term

Tactically, the AI/semiconductor trade looks vulnerable now: watch for project cancellations, analyst cuts, and sharper tech volatility. Energy and broader real assets are the cleaner near-term hedge if inflation and geopolitics keep pressure on rates.

  • Watch for more semis volatility, analyst downgrades, and further data-center project pauses or cancellations.
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  • The immediate catalyst he’s focused on is the market finally reacting to buildout delays and weaker demand signals.
  • He expects the AI/semiconductor trade to remain fragile if construction timelines keep slipping.
Mid term

Over the next few months, the base case is lower AI growth expectations, weaker hyperscaler margin sentiment, and more rotation out of crowded tech leadership. Confirmation would come from further buildout delays, softer demand signals, and continued firmness in commodities.

  • Over the next several weeks to months, he expects forward AI revenue and earnings estimates to be revised down.
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  • His base case is a broader market impact if hyperscaler profitability and free-cash-flow assumptions deteriorate.
  • He thinks energy and commodity producers should strengthen if inflation and supply constraints continue.
Long term

Structurally, Felder sees a transition from tech-led concentration toward a more inflation- and scarcity-driven market regime. If he is right, real assets and diversifiers matter more while monopoly-like growth stories face a much higher bar to sustain valuations.

  • He sees the current setup as a regime shift from a narrow AI-led equity concentration to a more inflation-sensitive, real-asset-friendly environment.
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  • His longer-term thesis is that capital will rotate back toward energy, infrastructure, and other real-world bottlenecks after excessive tech overinvestment.
  • He believes major speculative booms tend to end with overcapacity, then a prolonged period of valuation repair and sector rotation.
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Key claims (8)

BEARISH equity market topping process U.S. stocks

The stock market is in a prolonged topping process and the AI trade may already be transitioning into a bust.

He repeatedly says the bull market is in its final innings and that AI is metastasizing into a bust.

BEARISH AI buildout constraints AI infrastructure

Data-center delays and cancellations mean the AI revenue outlook is running into physical constraints.

He argues there is no way the announced buildout pace can be met, so sales estimates must fall.

BEARISH earnings timing mismatch AI hyperscalers

AI earnings strength is partly a timing and accounting effect from capex, not pure underlying profitability.

He says revenues are recognized immediately while depreciation and expenses show up later.

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Assets discussed (10)

Nvidia — NVDA
BEARISH stock

Used as a leading example of AI beneficiaries that he thinks are pricing in unsustainable revenue growth from data-center demand.

Super Micro — SMCI
BEARISH stock

Cited as a middleman in the AI supply chain that could be left holding inventory if data centers are not ready.

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Speakers

GUEST Jesse Felder HOST Adam Tagert

Interview (17 Q&A)

macro assessment

What is your current macro and market assessment given stocks near all-time highs, the Iran war, and massive AI-related capital spending?

Jesse believes we're in a prolonged topping process in the stock market, with semiconductors in a final blowoff phase. He sees earnings growth as largely a timing artifact — revenues from the AI buildout are recognized immediately while expenses (depreciation) are deferred. Meanwhile, data centers that chips are destined for are being delayed or cancelled, with two-thirds of centers supposed to be completed next year not even broken ground yet. He also sees stagflationary dynamics building, with small businesses raising prices and reducing hiring, partly driven by the Iran war.

change of view

What would it take for you to change your mind and believe this market move is sustainable?

Jesse would need to see the physics of the data center buildout change miraculously — that the ability to build announced data centers rapidly was actually possible. He cites Satya Nadella saying last year they could buy all the chips they want but lack the 'warm shells' (data centers) to plug them into, and that constraint has only worsened. Without this change, semiconductor revenue growth can't be maintained and could reverse.

political constraints

On top of the physics constraint of building data centers, what about the political backlash against data centers, such as the moratorium in Reno?

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Where this transcript pushes against consensus

  • The argument that data-center physics will force a rapid AI bust is plausible but not proven; buildout could accelerate faster than expected or usage could shift in ways that preserve demand.
  • He treats token pricing changes as evidence of weakening demand, but lower prices can also expand usage and offset some of the slowdown.
  • The claim that crude should be much higher is directionally consistent with his framework, but the timing and scale of the move are uncertain and partly depend on geopolitics and China demand.
  • He implies the AI boom is already rolling over, yet the market may keep rewarding earnings growth longer than expected if capex stays elevated.
  • The broad market impact is assumed to be severe if AI corrects, but the exact transmission from concentrated index weights and ETF flows is uncertain.

Topics

AI bubbledata-center buildoutsemiconductor stocksstagflationenergy marketscommoditiesFed policymarket concentrationdiversificationprecious metals

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