Benny () & The Squirrel were joined once again by Mike.

The show was recorded at 6pm EST on Thursday 6th August.

Benny & The Squirrel will be back on Sunday evening for our regular ‘Start the Week’ show.

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Episode 74 was recorded at 5.00pm EST on Sunday 2nd August, 2026. Don’t miss this week’s guest show on Thursday evening (6.30pm EST). is back on with us!

The show has expanded on the socials! Follow us on Instagram and / or TikTok (if you do that kind of thing!)

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Episode 72 was recorded at 6.30pm EST on Saturday 26th July, 2026. Don’t miss this week’s LIVE ‘Ask us Anything’ on Thursday evening at 6.30pm EST.

The show has expanded on the socials! Follow us on Instagram and / or TikTok (if you do that kind of thing!)

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Benny () & The Squirrel were joined once again by great friend of the show , author of The MacroTourist newsletter.

The show was recorded at 6pm EST on Wednesday 22nd July - just after Google released their earnings - very timely, given the fact that Kev has been doing a great job recently unpicking the S&P ‘earnings bubble’ (hint: most of it is mark-ups on unrealized gains on AI investments). Benny was inspired to use Gemini to make a meme 👇

Benny & The Squirrel will be back on Sunday evening for our regular ‘Start the Week’ show.

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Episode 70 was recorded at 8pm EST on Saturday 18th July, 2026. Don’t miss this week’s guest show on Thursday. has been writing on some really interesting topics lately and he rejoin the show to take us through them.

The show has expanded on the socials! Follow us on Instagram and / or TikTok (if you do that kind of thing!)

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Benny () & The Squirrel were joined once again by David Dredge, Founder and CIO of Singapore-based Convex Strategies.

The show was aired live at 6pm EST on Thursday 16th July.

David has had a front row seat for pretty much every complex economic and market event going back to the October ’87 crash, actively managing risk and risk businesses for Bank of America, Bankers Trust, ABN Amro /RBS before moving to the buyside with Artradis, Fortress, City Financial and now Convex Strategies. Dave’s excellent monthly essays can be found at Updates – Convex Strategies.

Benny & The Squirrel will be back on Sunday evening for our regular ‘Start the Week’ show.

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Episode 68 was recorded at 7pm EST on Sunday 12th July, 2026. Don’t miss this week’s guest show on Thursday. Dave “The Judge” Dredge rejoins us during what promises to be an interesting week up in Japan.

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In Episode 67, Benny & The Squirrel welcome back our regular guest Charlie Peabody. Charlie is a partner and the founder of financials specialist Portales Partners.

The show was recorded at 6pm EST on Wednesday 8th July, 2026.

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Episode 66 (‘66 was the last time England won - a sign??) was recorded at 7pm EST on Sunday 5th July (with a rain delay for the England vs Mexico match providing the window to record!)

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In Episode 65, Benny & I were joined by Laks Ganapathi, Founder of and Portfolio Manager at Minerva. Unicus Research provides actionable, short-focused investment ideas to institutional managers worldwide, applying proprietary primary research and thorough fundamental and investigative analysis.

Laks has been all over the emerging meltdown in the private credit market. Join us for a deep dive.

The show was recorded at 6pm EST on Thursday 2nd July, 2026.

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Episode 64 was recorded at 7pm EST on Sunday 28th June.

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In Episode 63, Benny and the 🐿️ were joined by . Robert is the founder and CEO of BigOne Lab, an alternative data and research company backed by S&P Global, serving leading institutional and corporate clients around the world. Robert writes for the opinion section of the New York Times and also writes at and newsletters on Substack.

The show was recorded at 8pm EST on Thursday 25th June, 2026.

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Episode 62 was recorded at 6.45pm EST on Sunday 21st June.

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In Episode 61, Benny and the 🐿️ were joined by , Founder of View from the Peak and former analyst and PM at major macro shops such as Caxton and Moore Capital. Paul’s new book, Growth Without You, hits the bookstands next month.

The show was recorded at 4pm EST on Wednesday 17th June, 2026.

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Episode 58 was recorded at 9.15pm EST on Sunday 14th June.

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In Episode 59, Benny & The Squirrel welcome Craig Coben to the show to discuss the SpaceX IPO.

Craig is a veteran capital markets banker. After starting as an attorney at Sullivan and Cromwell, he transitioned into investment banking in the 1990s at Deutsche Morgan Grenfell. He joined Merrill Lynch in 2005 going on to run the EMEA and later Global Equity Capital Markets businesses of what we now all know as Bank of America.

Since retiring from the sell side 3 years ago, Craig has turned his skills to the keyboard where he has been writing really fantastic columns for the Financial Times’s Alphaville team as well as for Global Capital Magazine, where he is the resident agony aunt for frustrated sell siders.

The show was recorded at 2am EST on Friday 6th June.

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Episode 58 was recorded at 6pm EST on Sunday 7th June.

Reminder to join us on Thursday: Craig Coben (former Global Head of ECM, Bank of America) joins us 6 hours before SpaceX IPO opens for trading on Friday morning. SpaceX/Tesla merger Polymarket odds are still at at 5 cents…

Today’s Slides

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Pod Summary

Reverse De-Equitization & The Supply Thesis

• Rupert frames the core issue: hyperscalers moving from internal cash flow → private debt → public debt → equity issuance to fund AI CapEx, completing the full capital structure cycle

• Historical parallel drawn: Europe’s “de-equitization” post-2003 (buybacks, 401K flows, PE take-privates) drove US equity outperformance for 15 years — that tailwind is now at risk of reversing

• The 1990s analog cited: it was secondary offerings (not IPOs) that caused supply-driven market problems; COVID-era SPACs and restructuring paper offers another cautionary historical parallel

The Signaling Problem: Why Are the Richest Selling? (Minute 3)

• Core message: when Google, Meta, SpaceX/Elon are tapping equity markets, this is a signal, not just a supply event — the world’s richest companies are cashing out retail savings

• IG credit market is maxed out on capacity; hyperscalers know tipping it would be catastrophic, so equity is the only remaining lever

• The Friday jobs report gave a misleading “strong” headline (World Cup hires, birth/death adjustments) — Fed stays hawkish as a result

S&P Index Committee Decision & SpaceX IPO Demand (Minute 6)

• S&P index committee refused to fast-track SpaceX and other AI IPOs into the index (unlike Nasdaq/Russell) — this removes ~$19 trillion of passive benchmark flows Elon was counting on

• SpaceX IPO priced at $135 fixed offer; gray market showing only modest ~$170 pop; retail can get stock in “any size” — a bad sign

• Roadshow anecdotes: JP Morgan event described as bizarre (Asteroids games, bomber jackets); Morgan Stanley ran a “theater event” — frothy atmosphere raising red flags

• Gray market (HyperLiquid perpetual future) showing muted enthusiasm; caution urged on reading thin weekend markets as signal

• Brief crypto tangent: Benny quit crypto trading in 2020/21 because the 24/7 nature was unsustainable

S&P Valuations at Historical Extremes (Minute 10)

• WisdomTree data: over half the S&P trades above 10x forward sales — no historical precedent

• Equal-weight S&P (RSP) has <10% exposure to >10x price-to-sales stocks; bulk of exposure is <4x forward price-to-sales

• Trade idea: RSP (equal weight) vs. QQQ as a relative value trade — acknowledging 20 years of equal-weight underperformance but sees potential for violent re-rate; levered spread trade doesn’t need a huge move

AI ROI Shift: From Token Maxing to Cost Optimization (Minute 12)

• Key inflection point observed: the market is moving from “token maxing” AI agent hype → AI ROI and cost routing optimization

• Benny built an AI agent with a daily cost optimizer capping spend at 3 cents per task — this is what enterprise users will start doing

• AI cloud cost opacity compared to “heli-skiing with richer friends” — the bill shock is coming for enterprises

Bitcoin: Head & Shoulders (”Classic Clean”) (Minute 15)

• Bitcoin chart showing a near-perfect head and shoulders pattern

• Double problem identified: (1) PBOC/BOJ/Fed global liquidity tightening; (2) no narrative — former miners have migrated to AI infrastructure

• Novogratz’s Galaxy Digital pivoting to data centers (West Texas campus = half its value) signals crypto top-riders have jumped to AI infrastructure bubble

• This feels like 2021 crypto mania repeating in AI infrastructure — same “bubble riders” (Novo and The Mooch) now in AI; the data center bubble thesis worth watching

Brent Crude: Long Position Initiated (Minute 18)

• Rupert announces he took a large position at the front of the Brent crude curve last week — “enough was enough”

• Goldman Sachs energy sentiment survey at time of purchase: more bearish than COVID lows — classic contrarian setup

• Bull thesis: oil in the “wrong places,” 3–6 month product/crude shortages baked in; energy company earnings call transcripts showing 30–45 day inventory warnings

• Bear counterpoint acknowledged: JJ (veteran NYMEX trader) is in the “world has plenty of oil” camp

• Risk flagged: if energy rallies hard into July, it crushes everything else (reflationary shock)

The Four Horsemen Framework: Energy + Rates + Dollar (Minute 22)

• Energy flagged as Horseman #1; rates picture described as completely changed

• Dollar: Rupert is a medium/long-term dollar bear but has insurance against a dollar ripper; big bearish candle in the Euro noted

• Benny is a “massive Euro bear,” holds December Euro puts now back in the money

• Yen back above 160 — a 35-year technical line; Benny targets 200 if it breaks through

• MOF interventions keep pushing it down but it re-emerges (beach ball analogy)

• BOJ meeting in ~10–12 days: if forced to hike rates to even zero, it unwinds the global yen carry trade — massive FX vol risk

• Japan banks: still the standout trade — yield curve steepening is “a gift”; valuation normalization has played out, now it’s an earnings growth story

Volatility: Nasdaq/S&P Vol Divergence (Minute 26)

• Nasdaq vol / S&P vol ratio is “absolutely out of line” vs. Nasdaq/S&P price ratio — a dislocated market that must revert

• 25-delta skew also starting to turn — suggests the vol unwind is not done

• Thursday/Friday’s Nasdaq -5% move burned off gamma inventory quickly (due to daily/weekly options), limiting gap-down follow-through Monday

• Korea flagged as the “leader to watch” — massive leverage needs to be unwound

• Friday generated $55bn of levered ETF supply forced to come to market — amplified the Nasdaq -5% move

• Market not gapping down Monday despite Iran news = positive sign that leverage cleaned out on Friday

John Law / “The New Mississippi” Teaser (Minute 32)

• Benny teasing his latest essay “The New Mississippi” — parallels between John Law (Scotsman who bankrupted Regency France via the Mississippi Company/Compagnie des Indes) and current AI/Silicon Valley state-capital fusion

• Trump administration reportedly considering taking stakes in AI companies — government entering cap table of peak-valued assets is historically ominous

• John Law anecdote: the word “millionaire” was coined during his bubble; SpaceX may introduce the first “trillionaire”

In Episode 57: Ameesh Agarwal (CIO, University Place Asset Management) joins Benny and the 🐿️ to dissect the economics of AI data center investing. His firm underwrites the base infrastructure layer — shell, power, and location — avoiding GPU exposure due to uncertain 4–7 year depreciation cycles and negative unit economics.

The show was recorded at 6pm EST on Wednesday 3rd June, 2026.

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Podcast Summary

Introduction

• Ben (Benny) introduces Ameesh Agarwal, CIO of University Place Asset Management (‘UPLAM’), for a special data center-focused episode

• Ameesh’s background: UPLAM has historically been an alternative assets investor — opportunistic credit and real estate across geographies

• Entry into data centers was organic: demand for capital outpaced supply, creating attractive risk-adjusted yields; LPs (primarily insurance companies and securities firms) had appetite to invest via infrastructure arms

• Data center underwriting mechanics are similar to real estate — long-duration, income-producing assets

The AI CapEx Supercycle & Scale of Spending (Minute 3)

• The 2023 ChatGPT/OpenAI “aha moment” triggered rapid AI diffusion and the concept of “a country of geniuses in a data center”

• Hyperscaler CapEx estimates: ~$600B initially for 2026, revised to ~$800B; total proposed hyperscaler spending is $1.1T

• Per NVIDIA’s earnings call: 50% of forward GPU demand is hyperscalers, 50% is neoclouds and others — total sector CapEx consensus is well north of $1T

• Capital requirements can only be met by the largest companies; smaller players are structurally disadvantaged

SpaceX / xAI Discussion — Colossus, Grok & TAM Claims (Minute 4)

• SpaceX’s upcoming IPO and the question of whether its terrestrial AI compute (Colossus I & II) is included in the $1T CapEx figure

• Ameesh is skeptical of xAI’s position: xAI/Grok claims a $27T TAM (close to US GDP), with ~90-93% attributed to AI, but xAI only captures ~3-4% of the actual AI frontier lab market

• Ameesh personally uses Anthropic every day but doesn’t know “a single person besides Twitter users who use Grok”

• Colossus is effectively acting like an Iren or CoreWeave — leasing GPUs, providing compute to Anthropic (paying ~$1.5B/year, representing $25B of revenue) — a pure GPU-rental model, not a frontier lab

• 🐿️: “There’s two trillion dollars riding on that being a reality” — skepticism is noted but the stakes are enormous

Data Center Economics 101 — Real Estate Analogy & Key Metrics (Minute 7)

• Data centers are not fundamentally different from real estate leasing: long-term leases (10–15 years, with 5–10 year extensions), similar to warehouse leases

• Key metric difference: real estate = price per sq ft; data centers = price per megawatt

• Location hierarchy: Tier 1 markets (Northern Virginia, downtown Chicago) > Phoenix/Austin > remote locations — just as Manhattan sq ft > New Jersey sq ft

• Location matters for: fiber access, “meet me rooms,” latency, network nodes, available/reliable power, and water for GPU cooling

• The four critical underwriting factors: (1) Location → (2) Power → (3) Developer/Sponsor quality → (4) Tenant quality

• Experienced developers (Vantage, Aligned, Compass One) vs. overnight opportunists — Ameesh sees clear differences in sophistication and underwriting quality

• Ameesh’s firm finances the base layer (shell + power), not the GPU layer — by analogy, the “roads” needed regardless of which car wins (Mercedes, BMW, train etc.)

• The shell and power have indefinite useful life (”Virginia is not going anywhere”)

• GPUs are the problem: useful life is debated — Michael Burry says 2–3 years, hyperscalers underwrite 4–5 years, Ameesh uses 6–7 years as a generous assumption

• Even aircraft leasing has a longer economic lifespan than GPU hardware

• Risk is not fully eliminated for the shell lender: if the tenant (who owns the GPUs) fails, the lease collapses; tenant quality is therefore paramount

• Hyperscalers (Amazon, Google, Microsoft) are the best tenants — fortress balance sheets, multiple downstream service layers that generate higher revenue per GPU CapEx than pure intermediaries

CoreWeave’s Unit Economics — The WeWork Analogy (Minute 16)

• CoreWeave’s business model: rent GPUs from NVIDIA, take on leverage, lease compute to frontier labs and hyperscalers — a pure intermediary with no proprietary software (all open-source) and no moat beyond GPU access

• Revenue generates negative unit economics: buying a GPU that depreciates in ~7 years and leasing it out does not generate enough revenue to repay CapEx at any reasonable WACC

• CoreWeave positions itself as a “systems integrator” — but every cloud provider offers the same capability

• WeWork parallel: WeWork leased office space, sub-leased it at a loss, dressed it up as a “software company” and “community platform”; CoreWeave does the same with GPUs; the buzzword is “AI infrastructure” instead of “community”

• Leverage amplifies the problem: “leverage makes any bad investment worse”

• CoreWeave’s debt position: ~$27B drawn, ~$13–15B remaining capacity across credit lines and delayed draw facilities

• Revenue target: ~$10B for 2026; even if quadrupled to $40B at steady state, the business remains problematic when measured on EBIT (not EBITDA) with 4–5x debt/equity ratio

The Valuation Methodology Problem — “Make DCF Great Again” (Minute 21)

• Investment banks model CoreWeave to its one peak EBITDA year, apply an EV/EBITDA multiple, and declare a valuation — this is fundamentally wrong

• EBITDA multiples assume perpetual cash flows; CoreWeave’s cash flows are NOT perpetual because they require constant CapEx reinvestment equal to GPU depreciation cycles

• Correct approach: normalize EBITDA by replacement CapEx based on GPU useful life; at any assumption (4, 5, 6, or 7 years), with 10% residual value, the business is insolvent

• The cash flow pattern: negative at CapEx → negative for years → briefly positive → CapEx cycle repeats; IRR is approximately 2–3%

• Rupert frames it: “It’s an equipment leasing business — what’s the value of the equipment, how long is there value to it? This ain’t ski rental” (skis pay for themselves in two rentals; GPUs take 6–7 years)

NeoCloud Taxonomy — Not All Are Equal (Minute 23)

• Ameesh distinguishes between fundamentally different neocloud business models:

  • Pure shell/power providers (Applied Digital, Cipher Mining/TeraWolf — former Bitcoin miners): provide power and shell only, lease space to hyperscalers or neoclouds; do NOT buy GPUs; power is their moat

  • Full-stack integrated operators (Iren, Nebius): own the power + shell AND buy the GPUs — end-to-end integrated

  • GPU-only neoclouds (CoreWeave, Fermi): lease power/shell from a developer (paying a substantial premium), buy GPUs on leverage, lease compute out — highest cost structure

• Why Iren and Nebius are better positioned than CoreWeave:

  • They own their own power/shell (no premium lease payments to developers, who target double-digit returns / 2x money over 6–7 years)

  • They carry the long-life power/cooling asset on the balance sheet (much longer depreciation)

  • Unit economics are “slightly better” — but GPU depreciation risk still exists for both

• CoreWeave’s structural disadvantage: must sign leases at a significant premium (vs. hyperscalers) because developers price in higher risk; all that margin is extracted before GPU revenues are even considered

• “The only reason CoreWeave exists is so NVIDIA has an alternate customer versus hyperscalers who will eventually come for Jensen’s margins”

• Ameesh agrees: CoreWeave is a “distribution shelf” for NVIDIA — not a business with proprietary IP or moat

• NVIDIA’s $2B investment in CoreWeave is effectively free optionality: NVIDIA received $2B+ back in GPU revenues the same year; if CoreWeave succeeds, the investment multiplies; if not, principal is recovered

• Historical parallel: Lucent financing its own customers during the dot-com era (keeping the build-out going, then collapsing)

• Anthropic now trains on Google TPUs (not NVIDIA GPUs) specifically because Google made early investments — NVIDIA failed to invest and lost the customer

• NVIDIA’s moat deepened by customer lock-in: high switching costs once companies build on GPU infrastructure; that’s the strategic logic behind financing distribution channels

Power Scarcity as the Durable Moat — Former Bitcoin Miners (Minute 36)

• “Never bet against engineers” — over time, efficiency improvements will reduce power and cooling requirements per unit of compute

• However, even as efficiency improves, the grid is backed up and cannot be built overnight; demand growth is outpacing efficiency gains for the foreseeable future

• Larger data centers are increasingly pursuing behind-the-meter on-site generation — Ameesh’s firm finances some of these

• 50% of US citizens wouldn’t want to live next to a nuclear power plant; the figure for AI data centers is 70% — permitting is getting harder, not easier

• Former Bitcoin miners (Applied Digital, TeraWolf, others) with existing power rights are being valued as scarce commodity plays by the market — tough shorts even with stretched valuations because power scarcity is real and durable

• Ameesh’s firm now shies away from deals where power is “in the backlog” vs. in hand; deals with power secured vs. speculative pipeline are fundamentally different underwriting scenarios

Capital Markets Deep Dive — Credit Pricing, Debt Structure & Risk (Minute 39)

• Credit spread differentiation: hyperscalers (investment grade) price at ~200bps over SOFR; neoclouds price at ~400bps over SOFR

• Neoclouds increasingly unable to access private credit; CoreWeave recently resorted to the junk bond market (7–7.5% coupon)

• Junk bond buyers are not sophisticated underwriters — they are bond traders relying on ratings, with no concept of GPU depreciation cycles; “they have no idea what they’re financing”

• Parallel explicitly drawn to 2007–2008: insurance companies, Asian and European desks buying paper without understanding the underlying — “Belgian dentists backing the truck”

CoreWeave’s Debt Structure — SPE Tranching & Capital Waterfall (Minute 42)

• CoreWeave has multiple tranches: revolvers at the corporate level + SPE-level debt secured by underlying contracts and GPUs

• SPE loans are written to depreciate in line with GPU lifecycles (~4–5 years), meaning revenue flows first to repay SPE debt before reaching the parent

• By the time revenues “hit the parent,” they are already collateralized

• At the corporate level: senior unsecured creditors are exposed with minimal credit enhancement

• LTV of 90–95% being written in some deals — “just be the equity guys” at 5% credit enhancement

• The system requires capital markets to remain permanently open: “any jam in the capital markets could cause major problems across the stack”

• Neocloud debt is material and growing in the high-yield index; insurance companies globally are buying this paper through products designed specifically for that market

The Offtake Agreement Dependency (Minute 45)

• Google previously guaranteed lease payments for tenants (e.g., FluidStack) as a mechanism to push Google TPU adoption — Google has since stopped providing these “credit wrappers”

• Credit wrappers are becoming less common — hyperscalers are pulling back from guaranteeing neocloud leases

• Neocloud financing is now entirely codependent on hyperscaler offtake agreements with no credit guarantee backstop

• If a hyperscaler pulls back or cancels a contract, the domino effect across the entire neocloud financing stack is severe

The Magnetar Trade Analogy — 2007 CDO Parallel (Minute 49)

• Ben and Ameesh connect the CoreWeave ecosystem to the Magnetar trade of 2006–2007:

  • Magnetar bought CDO equity tranches, owned senior tranches, and purchased mispriced CDS — effectively keeping the CDO market alive 18–24 extra months

  • Today, Magnetar is the largest shareholder of CoreWeave — same playbook, different asset class

• The circular financing dynamic: Magnetar/Google get paid via GPU revenues/cloud revenues while simultaneously being long the equity — structured to be OK either way

• Banks financing these deals retain zero risk (fee-driven), are not underwriting the assets, and are likely buying CDS against the same companies on different desks — “the same bankers retailing the risk”

Investment Analysis Quality — “The Gap Between Perception and Reality”

• Ameesh’s critique: most hedge funds, investment analysts, and sell-side do not understand what they are underwriting in AI infrastructure

• Analogy: a semiconductor analyst covering photonics (Lumentum), memory (SK Hynix), and CoreWeave is covering completely different businesses — requires fundamentally different frameworks

• The single most important input for CoreWeave valuation — GPU depreciation cycle — is routinely omitted or improperly handled in bank models

• Investment banks show the EBITDA-positive year, apply a multiple, and move on — ignoring that it is NOT a perpetuity

• Incentive misalignment: pod shop time horizons of 1–3 quarters, trend followers and passive funds dominate flows, bankers just want to get deals done for fees

How Does It Play Out? Catalysts & Positioning (Minute 55)

• CoreWeave has minimal economic value and debt spiral tendencies. The market is fragile: the gap between perception and reality is rarely this wide

• Math can be right but “you can still lose your shirt” going against momentum in open capital markets

• Goldman’s numbers show the year-over-year first derivative of CapEx growth is peaking right now — the rate of acceleration is topping out

• Framework: find the most robust (long) vs. the most fragile (short) in a capital market state transition

Episode 56 was recorded at 5.45pm EST on Sunday 31st May.

I am not able to publish paywalled commentary on a billing pause - so for the next 3 weeks, enjoy the show notes for free! Pod summary, show slides and audio edition are downloadable below.

Today’s Slides

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Pos Summary

Q2 Performance Review & The Semis Trade

• Squirrel confesses to a poor Q2 — sat on his hands and missed the market rally

• The one dominant trade of Q2: semiconductors — Korea, Taiwan, and SOXX (SMH) all parabolic

• Everything else either flat or dragged higher by semis; EM is now effectively a semi ETF in disguise

Micron & Valuation Concerns (Minute 2)

• Micron trading at price/ sales levels last seen at the peak of the prior tech boom

• Debate on nominal vs. log charts for properly contextualizing valuations

• Key question: what multiple do you put on peak semi earnings?

• Darius Dale’s point cited: earnings expectations are a lagging indicator — analysts chase stock price narratives

• Risk of an earnings bubble (analogous to 2006–07 housing, not a 1999-style price bubble) — multiples aren’t crazy, but earnings may be over-earning

“Amnesia” Theme Explained (Minute 5)

• The episode title explained: Squirrel’s portfolio has “amnesia” — no memory (stocks)

• He closed the call leg of his SMH strangle, cheapening September puts by ~15%

• Congrats to those who rode the memory/semi bull - time to take chips off the table

• ~54–55% of the market is passive — non-thinking participants

• Shorts (like Benny in April with SMH) got run over, leaving few on the other side

• The “shoot it in the back” strategy discussed — warned it’s harder than it looks (silver analogy: down 37% in one day)

• Momentum vs. mean reversion trade styles debated — both hosts identify as inherent mean reversionists

• Institutional buyers of Hynix/Samsung running into single-name concentration limits

• Marginal buyer now coming from structured products — leveraged ETFs/ETNs

• Downside leverage works twice as aggressively — asymmetric risk building

Portfolio Performance & Energy Positioning (Minute 10)

• Squirrel’s YTD performance chart shown: outperformed S&P through Q1, now behind after the semi rally

• Only 30% equity weighting in multi-asset portfolio; over half of equities is energy

• Watching BNO ETF (front-month Brent) — oil inventories have been decimated

• “Barrel counters” all came into 2025 bearish and are now really worried about supply

AI CapEx Sustainability & Valuation Sanity Checks (Minute 14)

• Ben currently doing deep work on Coreweave and the broader AI CapEx numbers

• Free cash flow yield on Russell/QQQ is thin — market in “rare air” across multiple valuation metrics (Q ratio, Buffett indicator, trailing P, forward P)

• Combined with potential earnings bubble = “very interesting situation”

• Stocks as claims on the economy’s assets vs. actual income/GDP — market stretched at historic extremes

• References Michael Pettis’s “bezel” concept: paper wealth exists only if you can actually exit

• Post-GFC we’ve been in persistent overvaluation; 2022 was a small drawdown but “we’re back”

CapEx Funding Waterfall (Minute 18)

• Nomura chart referenced: decomposing AI CapEx into cash-flow-funded vs. debt-funded portions

• Capital markets funding sequence: cash flow → term loans → high-yield/IG bonds → equity

• Warning: if Mag 7 start issuing common equity on top of IPOs, that would be a serious red flag

• Cancellation of buybacks = first sign of equity dilution coming

• $36B private credit deal done to fund Anthropic chip purchases cited as example of debt-funded CapEx

SpaceX IPO Valuation Sanity Check (Minute 24)

• Compared SpaceX pre-IPO valuation vs. revenue multiples of prior major IPOs (Meta/Facebook, Google, etc.)

• Facebook IPO anecdote: priced at $38, closed at $38 (Morgan Stanley used the whole shoe), then dropped to $17

• Pre-IPO SPV deals with big front-loaded fees now circulating for SpaceX — reminiscent of Facebook retail frenzy

• Day-one IPO returns historically poor for hot names; mechanics mean insiders are waiting to sell

Coreweave / Magnetar / CDO Parallel (Minute 26)

• Magnetar made $10B+ on Coreweave trade; drew parallel to their CDO trade pre-GFC — same characters, same playbook (get in early on the debt-funded boom, get out)