Broadcom's stock price 'plummets' 11%, what kind of dilemma is the tech giant facing?

On April 29, 2026, global tech giant Broadcom experienced a “Black Tuesday,” with its stock plummeting more than 11% in a single day, wiping out $220 billion in market value—an amount equivalent to the combined annual GDP of small and medium-sized economies like Iceland and Estonia. This sudden financial storm not only plunged Broadcom into a media whirlwind but also triggered the global tech industry to deeply reflect on the logic of AI investment, corporate valuation models, and the security of the industrial chain.

Although Broadcom’s latest financial report showed that total revenue for the first quarter of the 2025/2026 fiscal year increased by 29.47% year-on-year to $19.311 billion, and net profit attributable to shareholders rose by 33.55% to $7.349 billion, the market response was lukewarm. The core issue lies in the fact that, while Broadcom’s AI chip business—on which it heavily relies—continues to grow rapidly, its gross margin is significantly lower than that of non-AI businesses. For instance, Google’s TPU chips, Broadcom’s largest AI business client, contributed over 60% of the company’s AI chip revenue. However, the customized design limits Broadcom’s bargaining power, resulting in a gross margin 15-20 percentage points lower than that of traditional data center chips.

What worries investors even more is that, to meet AI chip demand, Broadcom’s inventory volume surged 30% within three months, reaching a six-year high. CEO Hock Tan admitted during the earnings call that the company has secured key component supplies through 2028, but the high inventory costs and potential risks of technological iteration could erode future profit margins.

Broadcom's sharp plunge is not an isolated case. During the same period, AI leading stocks like NVIDIA and Meta also fell more than 1%, while tech giants such as Microsoft and Amazon have seen declines of over 5% for the year. The market is beginning to reassess the 'scale above all' logic of AI investment — over the past two years, companies expanded AI computing power through massive capital expenditure, but the pace of commercialization lagged, making the 'burn money for growth' model difficult to sustain.

Take Broadcom as an example. Its AI chip business is expected to surpass $100 billion in revenue by 2027, but it will require over $50 billion in capital expenditure, and customer concentration is too high (six major XPU clients account for more than 90% of AI business revenue). If top customers reduce orders or switch to self-developed chips, Broadcom's performance will face cliff-like risks. This 'putting all eggs in one basket' strategy appears increasingly fragile amid heightened macroeconomic uncertainty.

The deeper impact of Broadcom's plunge lies in driving the capital market to shift from a 'growth narrative' to an assessment of 'profit quality.' Morgan Stanley analysts point out that by 2025, the investment logic for tech stocks will have shifted from 'can AI change the world' to 'can AI change a company's profit and loss statement.' Broadcom's software business (accounting for 40% of revenue) grew only 1% in the first quarter, far below market expectations, revealing the coordination challenges between its traditional business and new AI business.

At the same time, a tightening global regulatory environment further increases uncertainty. The EU Digital Markets Act's antitrust reviews on tech giants, as well as potential U.S. restrictions on AI chip exports, could impact the stability of Broadcom's supply chain. In a conference call, Chen Fuyang emphasized that the company is reducing its reliance on a single process node through 3.5D advanced packaging technology, but whether technological iteration can outpace geopolitical risks remains unknown.

Broadcom's decline could mark a turning point in the differentiation of the tech industry. On one hand, companies with diversified revenue structures and strong cash flow (such as Microsoft and Apple) may receive favor from capital markets; on the other hand, companies that overly rely on the AI concept with unclear profit models may face a valuation reassessment. Goldman Sachs research shows that by 2026, the internal rate of return for tech stocks will diverge by up to 20 percentage points, reaching a new high since the financial crisis.

For Broadcom, in the short term, it needs to stabilize market confidence through share buybacks and cost structure optimization; in the long term, it must reduce customer concentration, improve software business gross margins, and explore AI applications in emerging fields like automotive and healthcare. As Chen Fuyang said: 'AI is not a sprint, but a marathon.' In this competition testing endurance and strategy, whether Broadcom can learn from its 'plunge' will determine whether it can maintain its dominant position in the semiconductor industry.