Audit Zitron's specific, checkable predictions from late 2025 through October 2026 against what actually happened…

Ed Zitron’s checkable calls from late 2025 through mid-October 2026 mostly failed on timing and on how large AI revenue would get. The pattern is the same one that started in 2024: he treats a slowdown, a stall, or a credit crack as imminent and permanent, then the next quarter prints higher revenue, a new model, or another funding close. What has started to show up — and only recently — is stress in the debt that funds the buildout, not a collapse of Nvidia, OpenAI, or Anthropic.

How to read the record

Zitron writes a thesis, not a set of dated bets. The testable pieces are the ones with a deadline, a number, or a named company outcome: bubble pop by a quarter, a lab that cannot hit a revenue run rate, a neocloud that cannot survive, a coding startup that cannot exit, models that cannot improve, chips that cannot be plugged in. Conditional lines (“if OpenAI fails, it is Lehman”) are not yet scored.

Dan Luu’s September 1, 2026 review is the cleanest public ledger of the earlier calls. It marks essentially every resolved capability and timing prediction through late 2025 as wrong. [1] The primary sources below are used where they exist; Luu is used only where he attributes a specific quote.

Scorecard: late 2025 through October 15, 2026

1. The bubble pops no later than Q2 2026.

Date: October 2025, as attributed by Dan Luu.

Outcome: No cascade, no Nvidia growth break, no Silicon Valley flush by June 30, 2026. Nvidia set a new intraday high of $243.37 on October 6, 2026, and closed October 14 at $221.30, up about 23% year to date, with a market cap around $5.3–5.5 trillion. [2] [3]

Verdict: Wrong, if that “no later than” wording is accurate. Luu treats the phrasing as a hard upper bound. [1]

2. The bubble bursts within about 18 months, as a succession of startup failures rather than one Bear Stearns moment.

Date: October 16, 2025, Ars Live. He also said Nvidia’s growth is what inflates the bubble, and that a growth slowdown would burst it. He warned of a depression once markets accept that tech does not grow forever. [4]

Outcome: The 18-month window runs to roughly April 2027, so the dated call is not closed. The mechanism he named has not fired. Nvidia’s fiscal Q2 2027 revenue (quarter ended late July 2026) was $96.2 billion, up 106% year over year, with data-center revenue of $89.0 billion; guidance for the next quarter was $108 billion. Sequential growth is cooling (about 18% in that quarter, guidance implying about 12% next), but year-over-year growth accelerated, it did not break. [5] [6]

Verdict: Unresolved on the 18-month clock. Wrong so far on “Nvidia growth slows, then the market breaks,” and wrong so far on a depression.

3. “These models aren’t getting better. What we’re seeing today is pretty much what they’re always gonna be like.”

Date: November 2025. [1]

Outcome: OpenAI shipped GPT-5.6 in July 2026, GPT-6 Astra on September 3, 2026, and GPT-6 Sol and Luna on September 22, with the company claiming large accuracy gains and lower prices on the cheaper tiers. [7] [8] [9]

Verdict: Wrong. This continues a 2024–2025 streak of “peak AI / hit a wall” calls that Luu also scores as wrong. [1]

4. Anthropic cannot sustain the growth needed to support a roughly $47 billion annualized run rate.

Date: June 2026, as reported by Benzinga from a Zitron interview. [10]

Outcome: Anthropic told investors its run rate had passed $65 billion by late July 2026. Quarterly revenue was about $4.7 billion in Q1, $11.5–11.6 billion in Q2, and $16.8 billion in Q3, up 45% from the prior quarter. At a pre-IPO meeting on October 14 it also claimed adjusted profitability in Q3. Full-year 2025 revenue was about $4.6 billion, with an operating loss above $8 billion. [11] [12] [13]

Verdict: Wrong, and off in magnitude. A single 2026 quarter already exceeded a third of the 2027 revenue figure he had called “laughable” in February 2025. [1]

5. OpenAI’s published forecasts are absurd, and growth will slow sharply.

Date: October 2024 for the specific claim that $11.6 billion in 2025 (and $100 billion in 2029) was close to a “financial crime,” with growth set to slow into 2025. Included because it is the baseline his 2025–2026 commentary still rests on. [1]

Outcome: Audited 2025 revenue was $13.07 billion, above the figure he mocked, with a net loss around $38.5 billion (Zitron’s reporting; later cited by Quartz and others, and he says the Financial Times confirmed the statements). By the end of 2025 the annualized run rate was about $20 billion. By the end of September 2026 OpenAI told investors the run rate was approaching $50 billion, and it told them it expects $70 billion or more by year-end. It raised $122 billion in March 2026 at an $852 billion post-money valuation and is in talks for another $30 billion or more at a $1.4 trillion pre-money valuation. The IPO has slipped to 2027. [14] [15] [16]

Verdict: Wrong on the 2025 revenue ceiling and on an imminent growth stall. Partly right that headline run rates are slippery: the $70 billion figure circulating in late September was about $20 billion above the ~$50 billion number OpenAI itself gave investors a week later, largely because investors had grossed up partner sales the way Anthropic does and OpenAI does not. That gap knocked Nvidia, Oracle, and the Nasdaq on October 8–9. It was an accounting discrepancy, not a revenue collapse. [17] [15]

6. Cursor cannot be sold at a price that does not incinerate cash; a $10 billion exit is implausible.

Date: August 2025. [1]

Outcome: SpaceX agreed in June 2026 to buy Anysphere (Cursor) for $60 billion in stock and closed the deal on August 14, 2026. Reported ARR was about $4 billion by mid-2026, up from $2 billion in February. [18] [19] [20]

Verdict: Wrong. The exit was six times the ceiling he treated as implausible.

7. CoreWeave cannot survive six months except by fundraising.

Date: March 2025. [1]

Outcome: It is still operating in October 2026. The six-month death call was early. The credit call aged better, much later. On October 14, 2026, CoreWeave’s unsecured bonds due 2032 traded below 80 cents on the dollar, a level Bloomberg treats as distressed, with yields near 15% versus a 9.625% coupon issued in June. The stock fell 15.5% to $65.78. CEO Mike Intrator told staff the market was acting “irrationally” and pointed to a $104 billion revenue backlog. Interest expense was about $640 million in Q2 2026. Debt figures in circulation for mid-2026 range from about $35.6 billion of reported debt (Zitron, citing the June 30 balance sheet) to roughly $50–52 billion including lease obligations. No default has been announced. [21] [22] [10]

Verdict: Wrong on survival within six months. Partly right, and early, on the idea that CoreWeave’s model is a duration mismatch — long debt, slow data-center delivery, concentrated customers — that the bond market would eventually reprice.

8. Millions of Blackwell GPUs are sitting in warehouses; a large share of announced data centers will not be finished on the promised schedule; power is the binding constraint.

Date: November 24, 2025 (“Hater’s Guide to NVIDIA,” which he later summarized as arguing that 6 million Blackwell GPUs could not all be installed and powered). Restated in September–October 2026 as $200–350 billion of GPUs unplugged, and as Microsoft holding far more chip purchase power than energized AI load. [23] [24]

Outcome: Flagship Stargate Abilene is partly live, not dead. Epoch AI put operating capacity at about 0.3 GW in April 2026 against a 1.2 GW plan, with full campus completion targeted for Q4 2026. Oracle said in September 2026 that about 75% of the capacity it is providing there had been delivered to OpenAI. Other named Stargate sites were still at zero energized capacity, with completion targets mostly in 2028. A 900 MW expansion next to Abilene was dropped by OpenAI and reallocated. The $200–350 billion “unplugged” stockpile is Zitron’s estimate. It has not been confirmed by an independent inventory. [25] [26] [27]

Verdict: Partly right on delays and on power lagging chip purchases. Unresolved on the dollar magnitude of idle GPUs, and wrong if read as “these campuses will not be built.” Abilene is operating and still ramping.

9. OpenAI’s failure would be the Lehman Brothers of the AI bubble, with a violent market drawdown.

Date: July 15–17, 2026. He did not give a date. He noted SoftBank’s third $10 billion tranche was due October 1, 2026, and argued a stoppage of payments to Oracle and CoreWeave would break their debt math. [14] [28]

Outcome: SoftBank paid the tranche on October 1, funded with proceeds from an $11.1 billion high-yield bond sale (coupons up to 9.75%), completing a $30 billion follow-on and taking cumulative investment to $64.6 billion, about 13% ownership. It also repaid and canceled its bridge facility. OpenAI has not collapsed. It is still raising. [29] [30]

Verdict: Unresolved as a conditional. The near-term funding tripwire he flagged was cleared, at a high cost of debt for SoftBank rather than by a default.

10. AI private credit is already a brewing crisis; OpenAI and Anthropic cannot raise $50–100 billion a year at anything but junk rates; hyperscaler capex cannot be earned back.

Date: September–October 2026 newsletters and interviews (“Credit Crunch,” Monetary Matters, IBD). [10] [31] [32]

Outcome: Credit stress is visible and spreading at the margin, not systemic yet. CoreWeave’s bonds are the clearest print (above). Oracle fell 8.8% on October 14 to $130.55, and one tally puts the stock 59.6% below its September 10, 2025 record and down 32.4% in 2026, with long-term debt cited near $160 billion. Hyperscalers have not cut the build. Microsoft’s fiscal 2026 capital spending was $145.3 billion on the earnings-call definition ($115.9 billion of cash additions to property and equipment). In July it guided calendar 2026 capex to about $175 billion, down from its own prior $190 billion figure only because it lengthened assumed data-center life from 15 to 25 years and reclassified leases. It said the spending plan itself was unchanged, and Azure grew 43% in the June quarter. [33] [34] [35]

Verdict: Partly right on the direction of credit — junk spreads, CoreWeave distress, Oracle’s equity drawdown, SoftBank paying 8.6–9.75% to fund an equity check. Wrong so far on an imminent capex stop or earnings disaster at Microsoft, Google, or Amazon. Unresolved on whether the labs can keep refinancing $50–100 billion a year. They have kept raising equity; they have not yet had to live on standalone junk debt at that scale.

Where he was early, and where the magnitude was off

The timing error is consistent, and it predates the window in the question.

• From February 2024 through November 2025 he repeatedly called peak capability: data exhausted, models not getting more powerful, o1 as proof OpenAI was out of ideas, DeepSeek as the commoditization of LLMs, “generative AI isn’t going to do much more than it does today.” Each of those was scored wrong against later model releases and retained pricing power at OpenAI and Anthropic. [1]
• Revenue ceilings were not slightly low. They were off by multiples. The October 2024 sneer at $11.6 billion of 2025 OpenAI revenue missed a year that came in at $13.07 billion of recognized revenue and ended near a $20 billion run rate. The February 2025 sneer at a $34.5 billion Anthropic forecast for 2027 missed a company that was already at a $65 billion run rate in July 2026 and booked $16.8 billion in a single quarter. [1] [11]
• Survival calls were early by years, not months. CoreWeave’s March 2025 six-month death sentence failed. The credit stress he described showed up in October 2026, after an IPO and after tens of billions more of debt, and it is a repricing, not a bankruptcy.
• Bubble-pop dates have slid. Peak AI in early 2024, three quarters to prove itself, no later than Q2 2026 in the Luu ledger, 18 months from October 2025 in the Ars interview, and as of October 2026 still “when the money runs out,” with no new hard date. [4] [1] [32]

The magnitude error and the timing error are the same mistake. He models AI demand as a small, circular, soon-to-stall pool of venture-subsidized token spend. Recognized revenue at the two labs has compounded through that forecast. Losses have compounded too — that part of the ledger is real — but the stall he needed in order for the capex math to break on his schedule did not arrive.

What he got directionally right, without the crash

Three claims are holding up as descriptions, not as crash dates.

Circular revenue and sloppy ARR are not a conspiracy theory. Microsoft has disclosed on the order of $24.1 billion of fiscal 2026 revenue tied to OpenAI, which Zitron and Bloomberg-based writeups put at roughly 70% of Microsoft’s AI revenue and more than 7% of company revenue. The October 8 run-rate revision — ~$50 billion versus a ~$70 billion figure built to match Anthropic’s gross method — is exactly the kind of non-GAAP fog he has hammered. [36] [37] [15] The miss for him is treating that fog as proof the underlying demand is fake. Both labs’ quarterly revenue is still rising fast on the numbers reporters have actually seen.

Power and construction lag chip announcements. Abilene’s ramp was slower than early 2025 talk, other Stargate sites are 2027–2028 stories, and Oracle has had to issue force majeure language on at least one related project while saying the 2028 date still holds. [26] [25] That supports his “you cannot energize a press release” point. It does not yet support “hundreds of billions of GPUs will be written off.”

The bond market is the channel he said to watch, and this month it blinked. CoreWeave at a 15% yield, Oracle’s equity cut by about a third in 2026, SoftBank’s record junk deal at coupons near 10% to fund an OpenAI check, and Goldman’s count of $88 billion in lower-rated AI-related borrowing this year are all in the public record as of October 14–15. [10] [22] [30] [35] No major AI name has defaulted. Nvidia just made a high. The crisis he describes is a credit repricing at the edge of the trade, not the earnings collapse he has dated and re-dated since 2024.

What this implies

Someone trading Zitron’s calendar — sell Nvidia because growth must break, fade Anthropic because $47 billion of run rate cannot hold, fade Cursor because a $10 billion exit is fantasy — has been run over by the numbers through October 15, 2026. Someone who used him as a map of where the fragility sits — neocloud duration mismatch, Oracle’s tenant concentration, gross-versus-net ARR, chips bought ahead of power — has a live set of risks that the October 14 tape just marked to market.

The open items, in order of how soon they can be scored: whether CoreWeave refinances without a default or a heavily dilutive raise; whether Abilene actually hits the rest of its 1.2 GW by the end of 2026; whether OpenAI’s year-end run rate reaches the $70 billion it just told investors to expect, on its own net accounting; whether Anthropic’s adjusted Q3 profit survives a public S-1; and whether the 18-month bubble call from October 16, 2025 fails on schedule around April 2027 the way the Q2 2026 call already has. Until one of those breaks, the scorecard is a record of early and oversized bearish calls, plus a narrower and more recent hit on credit stress that has not yet become the crash.

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Recent Findings Supplement (October 2026)

Ed Zitron (newsletter Where’s Your Ed At, podcast Better Offline) has been a prominent AI skeptic, arguing that generative AI progress has stalled, hyperscaler capex vastly exceeds real demand, much of Nvidia’s sales represent warehoused/uninstalled GPUs, AI revenues are inflated or circular (heavily reliant on loss-making OpenAI/Anthropic), and a financing/debt-driven bust is imminent.[1][2][3]

His specific, checkable predictions from late 2025 into 2026 have largely been tested against outcomes as of mid-October 2026. The broader picture shows sustained (and accelerating) hyperscaler capex, record Nvidia data-center revenues and guidance, ongoing massive fundraising by AI labs, creative financing arrangements, and no major defaults, project cancellations, or market collapse—despite rising debt concerns and opaque capacity reporting.[4][5][6]

Zitron’s earlier timing calls (2024–early 2025) on model stagnation, revenue peaks, and bubble burst were consistently too early or off in magnitude; demand and investment have proven more persistent than predicted. Recent 2026 commentary focuses more on structural overbuild, unverified numbers, and impending cash-flow/debt issues rather than hard new deadlines.[7][7]

Scorecard of Specific Predictions (Late 2025–Oct 2026)

Bubble burst timing (“no later than Q2 2026” or similar near-term collapse via cascade of startup failures/fundraising collapse): Oct 2025 (and reiterated/nuanced into 2026).[8][7]

• Outcome: No burst as of Oct 15, 2026. Hyperscalers (Microsoft, Alphabet, Amazon, Meta) guiding ~$733B capex for 2026 (midpoints); Nvidia data-center revenue hit $89B in one recent quarter with strong sequential/YoY growth and high guidance ($108B total revenue next quarter); AI labs continuing to raise capital; no reported wave of cancellations or defaults.[4][6]
• Verdict: Wrong (strong testable upper bound missed; demand and spending have not collapsed).

Models have hit a wall / “aren’t getting better” / “pretty much what they’re always gonna be like”: Multiple statements into late 2025.[7]

• Outcome: Sustained high demand for advanced GPUs (Blackwell ramp, future Vera Rubin expectations) and hyperscaler spend continuing at elevated levels into 2026–2027 guidance imply ongoing perceived value and progress.[9]
• Verdict: Wrong.

OpenAI/Anthropic revenue forecasts “laughable” or absurdly high; growth already slowing dramatically: Late 2024 into 2025, with ongoing skepticism into 2026.[7]

• Outcome: Labs showing high (if loss-making) run rates; Anthropic leaked S-1 details ~$4.6B audited revenue with >$8B losses and heavy reliance on resellers; OpenAI run-rate revisions downward by ~$20B noted in Oct 2026 commentary, but overall ecosystem spend and Nvidia sales remain robust.[10]
• Verdict: Partly right (losses and circularity confirmed; magnitude/timing of slowdown overstated relative to continued investment).

~$200–350B (or ~50%) of AI chips/GPUs sitting in warehouses or unpowered data centers; hyperscalers (e.g., Microsoft $265B capex since ~2022 yielding only ~$50B operational GPUs at ~2GW AI-specific capacity vs. vague “12GW” claims): Sep 22, 2026 article and subsequent Oct 2026 interviews/podcasts.[2][3]

• Outcome: Zitron’s estimate derived from capex vs. operational GW figures, construction-in-progress (CIP) balances (e.g., Oracle, Amazon, Google), and vague capacity language. No independent audit or refutation in recent sources; aligns with reports of power/construction delays and financing creativity (e.g., Amazon $8B chip sale-leaseback).[11][12]
• Verdict: Unresolved/plausible (his analysis; supports overbuild thesis but unverified by third-party data in available sources).

70%+ of hyperscaler AI/cloud revenues from OpenAI/Anthropic (who cannot sustainably pay); broader debt/financing “brewing crisis” with higher costs, delays, and eventual project cancellations when “money runs out”: Aug–Oct 2026 pieces and appearances.[11][13]

• Outcome: Concentration and loss-making nature of labs widely referenced; debt issuance rising (Goldman Sachs ~$88B lower-rated AI borrowing); creative structures (Amazon chip deals, CoreWeave financing); no major cancellations or defaults reported yet, though credit concerns noted.[11]
• Verdict: Right on concentration and losses/circularity; wrong/partly right on imminent crisis timing and severity (system still functioning with ongoing raises and spend).

Additional notes on past timing calls (pre-late 2025, for context): Multiple 2024–early 2025 predictions on model progress stalling, specific revenue targets being unrealistic, CoreWeave failing quickly, Gemini user targets, etc., were rated wrong in independent audits. Zitron has been repeatedly too early on stagnation or bust and off on the persistence/magnitude of demand and investment.[7][7]

Recent Developments (Post-4/15/2026 Focus)

• Nvidia earnings/capex: Strong ongoing results with data-center dominance (e.g., recent quarter $89B data-center revenue, high guidance, supply commitments rising to $279B). Hyperscaler IT capex share for Nvidia rising (11% early 2023 → 38% Q2 2026, expected 44% end-2027). No signs of demand collapse.[14][6]
• Hyperscaler spending: 2026 guidance ~$733B (four majors); continued acceleration in Q3 2026 infrastructure spend.[4]
• Financing/Overbuild signals: Amazon exploring $8B Nvidia chip sale-leaseback; rising private credit/junk debt for AI; Zitron and others highlighting uninstalled assets and power/construction bottlenecks. No bust materialized.[11]
• AI lab finances: Anthropic S-1 leaks and OpenAI run-rate revisions underscore losses but also continued capital access.[10]

Implications for competitors/entrants: Zitron’s core thesis on circular demand, opaque metrics, and eventual cash-flow mismatch remains a live risk to monitor (especially debt markets and actual utilization), even as his repeated timing predictions have missed. Actual outcomes favor continued buildout and Nvidia strength in the near term, with potential for sharper correction if power, financing costs, or lab runway issues intensify. Independent verification of utilization/capacity claims would strengthen or refute the overbuild narrative. Sources are primarily recent news, earnings references, and Zitron’s own output (cross-checked where possible).