Felix Nikolas Prehn's Podcast copertina

Felix Nikolas Prehn's Podcast

Felix Nikolas Prehn's Podcast

Di: Felix Nikolas Prehn
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Felix Nikolas Prehn is an economist and former investment banker. Felix — alongside his golden retriever Winston — interprets the economy and markets.

© 2026 Goat Academy Ltd
Economia Finanza personale
  • Felix Nikolas Prehn: How AI Infrastructure Fueled By Borrowing Can Break Markets
    Oct 19 2026

    We break down why CoreWeave, a little-known AI “NeoCloud” lender-dependent business, may be the first crack in the AI plumbing that index funds rely on. We connect insider selling, distressed debt pricing, and credit default swap signals to a bigger question: whether AI is facing a borrowed-money reset similar to the dot-com era.
    • CoreWeave’s business model of buying NVIDIA chips and renting AI compute by the hour
    • Founder share sales and why Form 4 insider filings matter for ordinary investors
    • How bond prices, yields, and credit default swaps can warn before stocks react
    • The dot-com “plumbing” lesson from Cisco, Amazon, and the Nasdaq drawdown timeline
    • Why a reset can shift money toward owners of scarce compute and away from heavy borrowers
    • Goldman Sachs’ key warning about too much capital chasing too little power-ready compute
    • What we watch next: Nasdaq technical levels, debt insurance costs, earnings delivery, insider alerts


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    24 min
  • AI Lending Risk: How Banks Earn Fees And Transfer Exposure
    Oct 17 2026

    AI lending has become a case study in how Wall Street's fee machine operates. In this episode, Felix Nikolas Prehn, a former investment banker, traces the mechanics of a five billion dollar loan arranged by Goldman Sachs and JP Morgan for AI chip company Volta Infrastructure. The banks collected fees but declined to hold most of the loan, placing 3.7 billion dollars on a best efforts basis for sale to pension funds and insurers. The loan carries an 11 per cent interest rate, well above the junk bond average of 8 per cent. Meanwhile Oracle's data centre debt is trading below face value, with bankruptcy insurance costs at levels not seen since 2009. Prehn notes that Goldman's own trading desk advised institutional clients to derisk from AI exposure in the same week its research analysts issued buy recommendations, illustrating how different parts of one institution serve different purposes within the transaction machine.

    In this episode:
    00:00 Goldman Sachs and JP Morgan refused to hold their own AI chip loan
    03:03 How the bank fee machine works in plain terms
    05:06 Risk transfer from banks to pension funds and insurers
    09:40 Bank price targets on Meta, Micron and Nvidia
    11:12 Price targets feed the transaction and fee cycle
    12:44 Goldman traders tell institutional clients to derisk from AI
    13:48 Volta Infrastructure loan structure and best efforts clause
    15:48 Eleven per cent interest rate signals elevated risk

    Sources mentioned:
    Goldman Sachs, https://www.goldmansachs.com
    JP Morgan, https://www.jpmorgan.com
    Morgan Stanley, https://www.morganstanley.com
    BNP Paribas, https://www.bnpparibas.com
    Truist, https://www.truist.com
    Cantor Fitzgerald, https://www.cantor.com
    Oracle, https://www.oracle.com
    Volta Infrastructure
    Bitdeer, https://www.bitdeer.com
    Anthropic, https://www.anthropic.com

    Felix Nikolas Prehn is an economist and former investment banker. He co-founded TradeVision.io and founded Winston Daily and The Prehn Institute. The Prehn Institute gives no financial advice, and neither does this podcast.

    Newsletter: Winston Daily, https://winstondaily.com
    Research: https://prehninstitute.com
    Author site: https://felixprehn.com

    Support the show

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    24 min
  • Felix Nikolas Prehn: Who Really Funds The AI Boom
    Oct 16 2026

    We break down a $5 billion AI chip loan that major banks arranged, took fees on, and then mostly refused to hold, because the real story is risk transfer, not technology. We show how bullish AI research, quiet de-risking by trading desks, and “best efforts” loan language can point to the same machine pushing exposure toward pensions and insurers.

    • banks earning upfront fees while offloading loan risk to institutional buyers
    • why “best efforts” changes who holds the bag when demand dries up
    • how price targets and bullish research keep the transaction machine running
    • a direct contrast between research saying buy and traders saying de-risk
    • what an 11% loan rate signals about AI infrastructure credit risk
    • Nvidia’s unusual position as both chip seller and investor in the borrower
    • Oracle data center debt stress as a broader sign of tightening AI financing
    • how AI data centers link to energy demand, grid buildouts, and oil pricing
    • the practical skill gap: learning financial vocabulary to read headlines differently

    Support the show

    👉 Claim 99% Off the Financial Freedom Program. Use coupon 99PC at checkout https://felixfriends.org/stocks

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    24 min
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