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Wall Street's Biggest Bubble Looks Ready to Burst, and I Don't Mean AI or Quantum Computing

A $1.5 trillion powder keg can upend the stock market’s four-year rally.

Last month, Wall Street and investors marked the fourth anniversary of the current bull market. The S&P 500 and Nasdaq Composite have both more than doubled since their 2022 lows, while the Dow Jones Industrial Average has rallied up to 90%. The growth of artificial intelligence (AI) and quantum computing have been key drivers behind Wall Street's major stock indexes' rise.

However, concerns are growing about a potential bubble burst in AI and/or quantum computing. While history has shown that every game-changing technology has experienced early-innings bubble bursts, there is another significant bubble that might be about to burst, according to historical patterns. This bubble is the $1.5 trillion outstanding margin debt, a measure of investors' willingness to take risks.

The latest data shows that margin debt reached an all-time high of $1.502 trillion in June. Historically, when outstanding margin debt has increased dramatically over a short time frame, bad things often happen. Since the mid-1990s, there have been four instances where margin debt increased by at least 65% over a period of 12 to 19 months, all of which coincided with substantial bear markets.

The current outlook for Wall Street's AI- and quantum computing-driven rally is not promising. If history repeats itself, investors can expect a sharp bear market downturn in the near future. While downturns can be emotionally driven and difficult for most investors, they are a natural part of the investing cycle. Bull and bear market cycles are not linear, and historical data shows that even during recessions, depressions, wars, and pandemics, the S&P 500 has always generated a positive average annual total return over a 20-year period.

The $1.5 trillion margin debt bubble might present an opportunity for investors to capitalize on the situation.

Written by urgent.news from Motley Fool's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Also reported by 1 other outlet

Read the original at fool.com →

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