Micron Forecasts Record Growth as Burry Targets AI Stocks

Micron Technology's record financial performance is intensifying the debate over whether artificial intelligence investments can sustain their rapid growth. The semiconductor manufacturer reported strong fiscal fourth-quarter results in late September 2026, according to Yahoo Finance, while investor Michael Burry positioned his portfolio for a potential decline in the company's shares and broader AI-related equities.

Micron reported $54.2 billion in quarterly revenue, a 379% increase from the same period a year earlier. Adjusted earnings reached $33.42 per share, while the company's adjusted gross margin climbed to 87%, according to its results cited by Yahoo Finance on October 9, 2026.

Management also projected $61.5 billion in revenue and adjusted earnings of $38.15 per share for the first quarter of fiscal 2027. The company expects memory supply and demand conditions to tighten further during 2027 and 2028, supporting its outlook for continued growth.

That performance presents a significant challenge to Michael Burry's bearish position. According to Yahoo Finance, Burry replaced his outright short position in Micron with put options expiring in June 2027, carrying strike prices around $500. Micron shares were trading above $1,000 when the position was disclosed.

Burry, whose investments against the US housing market before the financial crisis made him widely known, has argued that the artificial intelligence sector could be experiencing a speculative bubble. His Micron position reflects a more specific timeline for that thesis, with the options structured to benefit if the company's share price falls substantially before expiration.

Jim Cramer has taken the opposing view, arguing that investors underestimating Micron's transformation risk misjudging the company's prospects.

Short sellers are "digging their own grave," Cramer warned, according to Yahoo Finance, referring to investors positioning themselves against the memory-chip manufacturer.

The disagreement centers partly on whether Micron's current performance represents a temporary upswing in the historically cyclical memory-chip industry or a more durable shift driven by AI computing requirements. Demand for memory components has become increasingly important as companies expand data centers and deploy systems that require substantial computing capacity.

Across the broader AI industry, investors face a similar divide. Companies are committing substantial capital to data centers, advanced processors, networking equipment and cloud infrastructure, while questions remain about how quickly those investments will generate sufficient returns, according to Beinsure's October 9 analysis.

One concern involves the time required for new infrastructure to become profitable. Data centers and servers can take years to deliver expected financial returns, leaving technology companies exposed if AI adoption grows more slowly than anticipated. A slowdown in customer demand could weaken revenue growth and profitability among businesses that have committed heavily to expansion.

Hardware pricing adds another source of uncertainty. Falling prices for processors and other computing equipment could pressure suppliers' revenue growth, depending on shipment volumes and demand. Investors are also scrutinizing financial arrangements in which technology companies finance customers that subsequently purchase their products, raising questions about how much reported demand depends on vendor-provided capital.

Energy and water availability could further constrain AI infrastructure development. Expanding data center capacity requires substantial resources, and shortages or rising costs could delay projects or limit the speed at which operators bring additional computing capacity online.

Nevertheless, the transition from developing AI models to deploying them commercially offers another source of potential demand. According to Beinsure, the industry has spent approximately three years concentrating on model training and experimentation, while commercial applications are becoming a larger part of the investment cycle.

That shift could benefit semiconductor suppliers and cloud providers as businesses purchase computing power, storage and networking services to operate AI applications. Nvidia supplies processors used extensively in AI computing, while Amazon and Alphabet are investing in cloud infrastructure to serve enterprise customers.

Beinsure cited Nvidia's valuation at approximately 25 times forward earnings estimates alongside a projected 70% revenue growth rate for its next fiscal year. Those figures support the argument that selected AI companies could justify elevated expectations if their growth forecasts materialize, although weaker results could expose their shares to sharp declines.

Amazon presents a different exposure to the technology cycle through its established e-commerce operations and Amazon Web Services. AWS benefits from demand for AI computing but also serves customers running conventional cloud workloads, providing revenue sources beyond AI-specific applications, according to Beinsure.

The competing outlooks leave investors weighing Micron's exceptional earnings growth and tightening memory market against the possibility that AI infrastructure spending and stock valuations have advanced beyond sustainable levels.