Your 401k Is Fueling The AI Bubble

"But remember, you only lose money if you sell."

This episode breaks down growing concerns from Mark Zuckerberg, Michael Burry, and an internal White House report that AI stocks may be entering bubble territory, and why that matters directly to anyone with a 401k or IRA. He shows just how concentrated most retirement accounts already are in a handful of AI linked tech stocks.

Jaspreet Singh compares today's market to the 2000 dot-com bubble using measures like market concentration, tech sector share, the Buffett indicator, and index fund dominance, while pointing out key differences like real company profits and the risk of circular financing among AI companies. He closes by explaining how long-term investors should think about market downturns instead of panicking.

In this episode, you'll learn:

How much of a typical S&P 500 or target date fund investment goes into Nvidia, Apple, Alphabet, Microsoft, and Amazon

Four ways today's market resembles the 2000 dot-com bubble: concentration, tech sector weight, the Buffett indicator, and index fund dominance

What circular financing among AI companies means and why it raises risk

Two key differences between the dot-com era and today, including real revenue and profits versus story based valuations

Why the US-China AI race and competition over the dollar are driving continued investment into AI

Why you only lose money in a downturn if you sell, and how past market crashes created major buying opportunities

The ABB (Always Be Buying) approach to investing through bubbles and downturns instead of panic selling

Why a long-term investor with years ahead of them can treat an AI pullback differently than someone near retirement