The current AI boom exhibits classic bubble characteristics, including extreme valuations for pre-revenue companies and narrative-driven investing.
The S&P 500's high valuation is heavily skewed by a few mega-cap tech stocks, masking the more reasonable valuation of the broader market.
Investors are repeating historical mistakes by rationalizing high prices with the "this time is different" fallacy and creating new, often meaningless, metrics.
Easy money and speculative fervor are leading to irrational capital allocation, such as companies taking on significant debt to fund AI infrastructure.
Opportunities Identified
Utilize historical frameworks to recognize and avoid speculative bubbles before they burst.
Focus on companies where stock price appreciation is driven by fundamental growth in intrinsic value, not just multiple expansion.
Apply a "terminal value reality check" to assess if a company can realistically grow into its current market valuation.