AI Bubble: Boom or Bust?
The current artificial intelligence boom presents a dual reality of transformative economic potential versus escalating financial risk.
While leading tech firms today possess stronger balance sheets and profitability compared to the "dot-com" era, market concentration has reached historic extremes, with the "Magnificent 7" comprising approximately 35% of the S&P 500.
Financial stability risks are rising due to "circular" financing dynamics where tech giants invest in startups that immediately recycle capital to buy the investor's hardware, and a projected $5 trillion infrastructure spend that relies heavily on debt financing.
Although optimists project AI could double US productivity growth to 1.8% annually, skeptics warn that high adjustment costs and reliability issues may limit GDP gains to a modest 1% over the next decade, creating a dangerous gap between astronomical valuations and actual economic output.
AI Bubble: Boom or Bust?
Podcast Breakdown
The Investment Paradox
Everyone is buying AI, but it's not paying off yet.
The Bubble Warning
There are scary parallels to the Dot-Com crash: "Round Tripping" and The Valuation Gap
Why This Time is Different
Unlike the Dot-Com era where companies were broke, today's buyers (Amazon, Google, Microsoft) are massively profitable.
The Takeaway for Your Job
AI is already cutting "boring" white-collar work time by 80%.