AI Stock Selloff: Opportunity or Bubble Burst?

AI Stocks Face Brutal Selloff Amidst Earnings Disappointments

Wall Street experienced a significantly turbulent trading session, with the NASDAQ composite index leading the decline. Major technology players, including Meta Platforms and Microsoft, saw their share prices tumble, with the most pronounced weakness observed in after-hours trading. This downturn has triggered panic selling among investors in some of the market’s most prominent technology stocks, particularly those associated with artificial intelligence (AI).

Oracle and Broadcom Earnings Spark AI Bubble Fears

The recent selloff in AI-related equities gained momentum following earnings reports from Oracle and Broadcom. Oracle’s stock experienced its worst single-day percentage decline since the dot-com era. The company reported lower-than-expected revenues and significantly higher AI infrastructure spending, leading to a collapse in free cash flow to a negative $10 billion for the quarter – double the amount analysts had anticipated. This suggests that Oracle’s AI buildout is proving more costly and slower to generate returns than initially projected by investors.

Broadcom, another key player in the AI hardware space, also faced a severe market reaction. Despite beating analyst expectations for revenue and earnings per share, the stock suffered one of its largest market capitalization losses in history, shedding approximately $220 billion in a single day. The primary driver of this decline was management’s warning that gross margins could be pressured as custom AI chips become a larger portion of their business. Furthermore, Broadcom indicated that significant revenue from its multi-billion dollar agreement with OpenAI would not materialize until 2026.

Both Oracle and Broadcom shares have fallen by over 10%, fueling broader concerns about the sustainability of the current AI investment boom and raising fears of an impending AI bubble.

Re-evaluating the AI Narrative: Beyond the Hype

However, a closer examination of the situation reveals that the market may be overreacting and incorrectly applying the challenges faced by Oracle to other AI-centric companies, particularly Broadcom. The concern regarding custom AI chips is not a new development for Broadcom or its investors. The company has a long-standing history of designing and manufacturing custom chips for major technology firms, including Google’s Tensor Processing Units (TPUs), Meta’s MTIA chips, and ByteDance’s TikTok recommendation algorithm chips.

Broadcom’s partnership with OpenAI to co-develop custom accelerators for models like GPT-5, announced just two months prior, is a testament to its established expertise. It is reasonable for the company to anticipate minimal revenue from this specific deal in 2026, given the lengthy design, manufacturing, testing, and optimization cycles for advanced AI accelerators. In fact, by the time these chips are deployed, demand is likely to increase, positioning Broadcom to secure even more substantial contracts with other AI leaders.

Broadcom’s Strong Fundamentals Underscored

Broadcom’s financial performance paints a picture of robust growth, largely driven by its AI segment. The company reported a substantial backlog of $73 billion in AI orders over the next 18 months, including a significant $21 billion from Anthropic. Current revenue growth is accelerating, with a year-over-year increase of 28%, and AI chip revenues alone surged by 74% in the same period. This contrasts sharply with Oracle’s growth trajectory, which has a compound annual growth rate of only 5% over the last decade, compared to Broadcom’s 19%.

While both companies reported earnings, the underlying financial health differs. Broadcom’s 2024 earnings were impacted by a one-time $4.5 billion tax charge related to supply chain realignment. Conversely, Oracle’s reported earnings per share benefited from a one-time $2.7 billion gain from the sale of its stake in Amper Computing. Critically, Broadcom has demonstrated consistent growth in free cash flows, whereas Oracle’s free cash flows have declined, necessitating debt financing for its AI expansion.

Market Mispricing Creates Investment Opportunities

The current market sentiment appears to be treating all AI stocks uniformly, akin to Oracle’s struggles, irrespective of their individual business models and financial health. This broad-brush approach, however, overlooks companies with strong, diversified revenue streams and proven monetization strategies for AI, presenting a significant opportunity for long-term investors.

AMD: Undervalued Potential in Data Centers and Beyond

Advanced Micro Devices (AMD) has seen its stock price decline by approximately 15% over the past month due to intense competition in the data center market from Nvidia and Google’s custom TPUs. The stock further dipped nearly 5% following the Oracle and Broadcom earnings. Despite a high price-to-earnings (P/E) ratio of around 100, which may deter some investors, AMD’s growth prospects are substantial. The company is projected to more than double its earnings next year, driven by an anticipated 80% annual growth in its data center business over the next three to five years.

A significant portion of this growth is expected to stem from AMD’s substantial deal with OpenAI to deploy up to 6 gigawatts of Instinct GPUs, potentially worth over $100 billion in data center revenues. Beyond AI accelerators, AMD benefits from diversification. Approximately 43% of its revenue comes from its client and gaming segments (PC CPUs, GPUs, and semi-custom chips for game consoles), which saw a 73% year-over-year growth last quarter, outpacing the data center segment’s 22% growth. This diversification provides a buffer against AI-specific market volatility. Discounted cash flow models suggest AMD’s fair value is around $380 per share, indicating it is currently undervalued by over 40% at its trading price of approximately $210.

Meta Platforms: Monetizing AI at Scale

Meta Platforms (META) is trading at a significant discount, with discounted cash flow models estimating it to be 23% undervalued, implying a potential 30% upside. The selloff is largely attributed to investor concerns over its substantial AI and infrastructure spending, which could impact near-term earnings and free cash flows, reminiscent of its metaverse investments in 2022. Meta has guided its 2025 capital expenditure budget up to $70 billion, a considerable increase from $40 billion in 2024, with further increases anticipated for 2026.

However, Meta is actively monetizing its AI investments. The company leverages AI for enhanced ad targeting, automated tools, and AI-driven shopping experiences, leading to higher conversion rates and increased ad revenue. Its AI-driven advertising infrastructure already generates over $60 billion in annual revenue. Furthermore, Meta is deploying AI-powered chatbots across its platforms (Facebook, Instagram, WhatsApp, Messenger) to personalize content and advertising for its over 3.5 billion daily active users. Unlike Oracle, Meta has a clear and established path to capitalizing on its AI infrastructure, supported by its vast user base and diversified revenue streams in advertising, commerce, payments, and AR/VR devices.

Microsoft: A Diversified AI Powerhouse

Microsoft (MSFT) stands out as one of the most diversified technology companies globally, with offerings spanning products, software, and services across Azure, Microsoft 365, Office, LinkedIn, GitHub, and Xbox. The company plans to invest approximately $80 billion in 2025 to build AI data centers, with further increases expected in subsequent years. Similar to other tech giants, Microsoft faces investor scrutiny regarding the timeline for monetizing its substantial AI investments and the impact on long-term margins and free cash flows, given the escalating costs of AI models, data centers, and power.

Despite these concerns, Microsoft’s recent earnings report indicated that AI is already a significant contributor to Azure’s robust sales growth and the increasing adoption of its Copilot features within Microsoft 365. These AI contributions are bolstering overall profit growth, even after accounting for increased capital expenditures. Discounted cash flow models estimate Microsoft’s fair value at around $600 per share, suggesting a 25% upside from its current trading price of approximately $480. This presents an opportunity to invest in a leading technology firm at the forefront of the AI revolution at a potentially attractive valuation.

What Investors Should Know

The recent selloff in AI stocks, triggered by Oracle’s disappointing earnings and Broadcom’s cautious outlook, has created a broad-based fear of an AI bubble. However, investors should differentiate between companies struggling with AI monetization and those with strong, diversified business models that are effectively integrating and profiting from AI. Companies like AMD, Meta Platforms, and Microsoft, with their established revenue streams, significant investments in AI infrastructure, and clear monetization strategies, represent potential long-term investment opportunities amidst the current market volatility. The key takeaway is that not all AI stocks are created equal, and a nuanced approach is necessary to navigate this evolving technological landscape.

Source: IT'S OVER! I Can't Stay Quiet on AI Stocks Crashing Any Longer (YouTube)