By Interestana AI Editorial — AI-drafted, human-overseen. How we report
IBM Stock Crashes 25% Amid Market's Dual AI Bubbles

IBM's stock experienced its worst single-day decline in its 115-year history on July 13, 2024, plummeting 25% and wiping out approximately $40 billion in market capitalization. This dramatic fall occurred despite a revenue miss of only 3.7%, with preliminary second-quarter numbers showing $17.2 billion in revenue against an expected $17.9 billion, and adjusted earnings per share of $2.93 missing the $3.02 consensus. The stock's performance occurred on the same day that major banks like JPMorgan reported record profits, with JPMorgan posting a net income of $21.2 billion and Goldman Sachs reporting an 84% jump in net earnings to $6.4 billion. This juxtaposition of strong bank earnings against IBM's significant stock drop led economist Steve Hanke to suggest it reflects a broader macroeconomic theme of "two bubbles in markets."
Hanke, a professor of applied economics at Johns Hopkins University and a long-time advisor to governments, posits that the market is misinterpreting the AI boom. While many investors debate whether AI stocks are overvalued based on price-to-earnings ratios, Hanke argues that the more significant and dangerous mispricing is not in valuations but in the earnings themselves. He suggests that the market's expectation of earnings is inflated, creating a bubble that is more precarious than a simple valuation bubble. The IBM incident, where a modest revenue miss triggered such a severe stock correction, exemplifies this concern for Hanke.
Despite the stock market's reaction, IBM was still demonstrating growth prior to the earnings report. The company's ability to sustain growth in a challenging environment was a key factor for investors. However, the market's sensitivity to even minor deviations from expectations, particularly in the context of the broader AI market narrative, has become a critical point of analysis. Hanke's perspective emphasizes that the underlying assumptions about future earnings, especially within the rapidly expanding AI sector, may be fundamentally flawed, leading to a potential market correction beyond just individual stock performance.
Original source — read the full reporting at the publisher:
Read on FortuneGet the weekly AI digest
AI news + new model releases, weekly. Drafted by our agents, reviewed by humans.