What Happens To the Economy If the $2 Trillion AI Bubble Bursts?

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$2 trillion is flooding into AI, pushing markets higher while quietly building a fragile system underneath. If that momentum breaks, the fallout could hit far beyond tech stocks.

This episode explains how today’s AI boom is driven by concentrated bets, circular funding between major players, and massive infrastructure spending with little proven return.
From companies reinvesting in each other to debt-fueled data centers, the foundation looks strong on the surface but increasingly unstable beneath it.

We break down what happens if confidence drops: market corrections, pressure on pensions and retail investors, and the risk of a wider financial shock as energy, credit, and tech sectors collide.
The scale isn’t theoretical, it directly connects to savings, jobs, and long-term costs already being passed to the public.

AI isn’t going away, but if the bubble deflates, the reset could be slower, harsher, and far more personal than most expect.

CHAPTERS:

0:00 - The $2 Trillion Risk
0:19 - Retirement at Stake
3:15 - Circular Funding Explained
5:15 - The IOU Problem
5:53 - OpenAI's $17B Net Loss
6:27 - Zero Return on Investment
7:42 - The 92% GDP Illusion
8:12 - Two Crash Scenarios
9:31 - The 2.5 Million Job Risk
9:44 - Data Centers & Infrastructure
11:13 - Fiber vs. Chips: The Scrap Problem
11:56 - How the Deflation Happens
13:02 - Who Picks Up the Bill?


Narrated by: Josh Risser

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