February 12, 2026

EP 7 - After the AI Bubble, Part 2 | Curious Pundits Podcast

59 minutes

Historical bubbles and financial plumbing frame the question of whether AI is repeating familiar patterns. The conversation connects infrastructure-led booms to modern capital cycles, moving from railroads and the Great Financial Crisis mechanics to crypto’s speculative dynamics and real-world payment alternatives. From there, attention shifts to AI business models, the semiconductor supply chain, and how valuation assumptions collide with depreciation, competition, and energy constraints. The episode closes with a wider lens on power generation, nuclear perceptions, and the difference between workable technology and workable stories.

Full episode and transcript: https://curiouspundits.com/podcast/ep-7-after-the-ai-bubble-part-2

Episode Show Notes:

Context recap and why this topic continues into Part 2.

Railroads as a “production” bubble example tied to promises, land, and financing dynamics.

Mortgage-backed securities explained: liabilities vs assets, pooling mortgages, and why defaults matter.

Banking constraints: insolvency rules, regulator intervention (FDIC), and why payment systems drive bailouts.

Crypto framed as speculative and policy-supported; Bitcoin ownership distribution discussed (including a cited figure from Reddit).

Practical payment systems comparison: M-Pesa and the role of private ownership vs decentralization.

AI “build-out” mechanics, cashflow focus, and who benefits most from the current spend (Nvidia; plus TSMC and ASML).

Semiconductor supply-chain concentration and geopolitical framing (ASML in the Netherlands).

Oracle / OpenAI / Nvidia circular flow example and a “clearing” explanation using a hotel-debt story.

Michael Burry referenced in relation to the AI bubble; Substack mentioned by name approximately (“Cassandra Unleashed”).

Depreciation vs useful life of AI hardware compared to “car loan” dynamics on balance sheets.

Nvidia valuation/PE ratio discussed with numbers mentioned in the conversation.

Creative destruction referenced via Joseph Schumpeter; competition and lower-cost alternatives as a possible bubble catalyst.

AI tooling in day-to-day work: ChatGPT, Perplexity, and Claude mentioned as paid tools/subscriptions.

Energy constraints and nuclear power as a limiting factor for AI expansion; nuclear safety perception discussed.

Rory Sutherland mentioned in the context of reframing nuclear as “elemental energy.”

“Enron Egg” viral hoax discussed; Project Pele referenced as a US military project.

Episode Timestamps:

00:00:00 Opening and Part 2 setup

00:02:05 Railroads, land grants, and “production” bubble framing

00:10:43 Mortgage-backed securities: how they work and why pooling changes risk

00:20:42 How financial impacts spread globally through investors and pensions

00:22:28 Michael Burry reference and Substack mention

00:23:02 Banking rules, capital requirements, and why insolvency is different for banks

00:25:54 Payment systems, bailouts, and the FDIC as regulator example

00:26:16 Crypto defined as speculative; government/policy support referenced

00:33:32 M-Pesa as a practical payment comparison point

00:39:09 AI business model pressure and who captures cashflow (Nvidia/TSMC/ASML)

00:41:11 Oracle/OpenAI/Nvidia money flow example and “clearing” explanation

00:43:38 Michael Burry framing and depreciation vs useful life discussion

00:46:32 Nvidia PE ratio discussion (numbers referenced)

00:47:21 Schumpeter and creative destruction; competition as a possible turning point

00:50:24 Summary: why it’s viewed as a bubble; AI adoption and tools mentioned

00:53:41 Energy constraints and nuclear power as part of the continuation of the AI boom

00:55:06 Rory Sutherland reference; “Enron Egg” and Project Pele

Entities mentioned in this episode

People

Emanuel

Kevin

Sam Bankman-Fried

Michael Burry

Christian Bale

Rory Sutherland

Tyrone Keynes

Companies, products, platforms, and organizations

OpenAI / “Open AI”

Google

Amazon