Alphabet's stock experienced a significant decline, wiping out $500 billion in market value, despite Google Search reporting a 12% year-over-year revenue increase to $63.3 billion last quarter. The revenue figure fell below Wall Street's expectations, contributing to a 13% drop in Alphabet's share price. This downturn follows a broader market trend where tech stocks have seen considerable volatility, with an estimated $1 trillion leaving the AI sector's market value earlier this month.
The primary reason cited for this financial setback is the impact of Google's own AI features on its core Search revenue. While Search has seen its fastest query growth rate in half a decade, the integration of AI has apparently led to lower monetization. Philipp Schindler, Google's senior vice president and chief business officer, acknowledged this during Alphabet's most recent earnings call. "It's worth noting that the strong growth in AI Mode queries had an impact because of the lower monetization we were seeing in AI Mode," Schindler stated.
Google is working to address this by scaling ads within its AI Overviews and AI Mode. Schindler expressed confidence in the company's trajectory, noting that ad experiments have yielded promising results and that the company is now expanding ad placements to more users and queries, including international markets and multiturn ads in the US. This suggests a strategy to integrate advertising more deeply into AI-driven search experiences.
Beyond search revenue concerns, Alphabet is also facing challenges with cash flow. The company reported a negative cash flow of $9.1 billion at the end of September, marking only the second such quarter since its public debut in 2004. This figure is considerably higher than initial projections, which anticipated a deficit no larger than $3.5 billion. The company has invested heavily in AI, spending $51.3 billion in the last quarter alone, and has committed to future expenditures exceeding $1 trillion for data centers and related infrastructure. Investors remain concerned about the timeline for realizing a full return on these substantial AI investments.