Broadcom shares plunged after the semiconductor giant delivered earnings that, while still reflecting exceptional growth, failed to meet the extraordinarily high expectations investors had placed on its artificial intelligence business.

The company’s decline could erase more than $300 billion in market value, making it one of the largest single-day losses ever recorded for a technology company. The selloff was driven less by weak performance and more by investor disappointment that Broadcom maintained — rather than increased — its long-term AI revenue outlook.

Broadcom has become one of the biggest beneficiaries of the global AI infrastructure boom by helping major technology companies such as Alphabet and Meta develop custom AI processors as alternatives to Nvidia’s premium chips. This strategic position transformed the company into a key supplier for hyperscale data centers and drove an extraordinary rise in its stock price over the past several years.

Although quarterly AI chip sales continue to grow rapidly and are expected to more than triple compared with the previous year, investors had anticipated even stronger guidance. The company reiterated its target of reaching $100 billion in AI-related revenue by fiscal 2027 instead of raising that forecast, leading markets to question whether growth may be normalizing.

The reaction spread across the broader semiconductor sector, pulling down shares of Nvidia, AMD, Intel, Qualcomm, and other AI-related chipmakers. The decline illustrates how tightly market sentiment across the industry has become linked to expectations surrounding artificial intelligence infrastructure spending.

Despite the short-term market reaction, Broadcom executives expressed confidence in the company’s long-term position, noting that supply for advanced memory components has already been secured through 2027. Many analysts also maintained positive outlooks, arguing that the selloff reflects valuation pressure rather than weakening fundamentals.

The episode highlights a defining feature of the current AI investment cycle: for market leaders, strong growth alone is no longer sufficient. Investors increasingly expect near-perfect execution and constantly rising forecasts, particularly from companies viewed as central to the future of AI computing infrastructure.