240% vs 606%.. Is the AI boom a repeat of the dot-com bubble?

With the skyrocketing rise of technology stocks, a fundamental question is echoing in financial circles: Is artificial intelligence today experiencing a new bubble that will burst like in the past, or is the market in a state of natural heat driven by innovation?

The digital comparison between the two scenes reveals a fundamental difference; while the gains seem strong, they are still far from the frenzy of the dot-com bubble of 1999.

The Numbers Speak: Big Gains.. But Less Than Half

The statistical comparison of stock returns illustrates the vast difference in the level of speculation:

  • Peak 1999: The average return of the top 10 performing companies that year was 606%.
  • Boom 2025: The average return of the top 10 performing companies in the S&P 1500 index was around 240%. These figures confirm that today's gains, despite their magnitude, remain less than half of the "madness of the 1990s", and they are close to the approximate historical average return of the top 10 stocks since 1996, which is 220%; indicating that not every price jump is necessarily a bubble, as it is normal in a market with 1500 companies for stocks to surge when innovation drives a new economic cycle.

Where Does the Danger Lie Then? Relative Calm and a Divided Market

In-depth market analysis reveals several indicators explaining the nature of the current movement:

  • Hot Market.. Not Unruly: The current gap in the market is less than the average of the past 30 years, estimated at about half the gap seen in the late 1990s. The market appears divided, but it has not yet reached the chaos of 1999.
  • The Most Important Question (Is the Market Distorted?): A bubble is not measured solely by the rise of the winners, but by the widening gap between them and the losers. The performance gap between the top 10% and the bottom 10% of stocks is estimated at about 125 points.
  • The Real Danger: The primary risk does not lie in the operational number alone, but in the concentration of momentum around AI stocks; if the number of leading companies driving the market narrows, the financial system becomes more fragile and susceptible to shocks.

In Summary:
Current financial data does not suggest that the scene is a complete repeat of the tragic scenario of 1999, but it sends a clear warning signal to investors: overwhelming enthusiasm in the markets always requires cautious measurement and close monitoring... not blind awe.