TSMC and Micron Earnings Point to an AI Chip Boom With Memory as Its Ceiling

The two earnings reports landed a month apart, in different countries, on different rungs of the semiconductor supply chain. TSMC's results came on 15 January, according to Ars Technica. Micron's came in December, in its first earnings call since killing the Crucial memory and SSD brand, as Tom's Hardware reported on 20 December.

Together they describe one shortage moving through two markets at different speeds.

What TSMC told investors

TSMC reported net income of NT$505.7 billion, about $16 billion, up 35 percent year over year and above analyst expectations. Revenue hit $33.7 billion, a 25.5 percent increase from the same period last year. The company expects nearly 30 percent revenue growth in 2026 and plans to spend between $52 billion and $56 billion on capital expenditures this year, up from $40.9 billion in 2025. Those are the numbers that matter for anyone trying to work out whether the AI buildout has a floor under it.

TSMC manufactures chips for Apple, Nvidia, AMD and Qualcomm, which makes it a linchpin of the global electronics supply chain. It produces the vast majority of the world's most advanced semiconductors, and its factories in Taiwan are a focal point of US-China tensions over technology and trade. When TSMC reports strong demand and ramps up spending, it signals that the companies designing AI chips expect years of continued growth. That is the read-through, and it is why the call mattered well beyond TSMC's own balance sheet.

CEO C.C. Wei was careful about the long term. "So another question is 'can the semiconductor industry be good for three, four, five years in a row?' I'll tell you the truth, I don't know. But I look at the AI, it looks like it's going to be like an endless, I mean, that for many years to come," he said during the call, according to Ars Technica.

"I want to make sure that my customers' demand are real. So I talked to those cloud service providers, all of them. The answer is that I'm quite satisfied with the answer. Actually, they show me the evidence that the AI really helps their business."

That quote is Wei's own account of his diligence, not an audited fact. He told analysts he spoke directly to cloud providers before committing to the spending increase. The distinction is worth keeping: the demand TSMC is underwriting is demand its largest customers have described to it, and the capital expenditure figure is the company's own commitment.

The earnings report landed the same day the US and Taiwan finalized a trade agreement that cuts tariffs on Taiwanese goods to 15 percent, down from 20 percent. The deal commits Taiwanese companies to $250 billion in direct US investment, and TSMC is accelerating the expansion of its Arizona chip fabrication facilities to match. That is a political and logistical layer sitting under the earnings story, and it will shape where the next tranches of capacity get built.

Micron's version of the same boom

Micron reported record revenue of $13.64 billion in its first fiscal quarter of 2026, up nearly 57 percent year over year, along with what it called significant margin expansion. The company attributes the growth to higher pricing and increased demand in AI data centers. CEO Sanjay Mehrotra told the call that supply constraints will persist beyond calendar 2026, and that Micron is working on multi-year supply commitments.

HBM is doing much of the work here. High-bandwidth memory requires three times as much wafer space as DDR5, and Micron expects strong growth in its HBM revenue. The company projects the HBM total addressable market will hit $100 billion by 2028, which would outpace the entire DRAM market in calendar 2024. That comparison is the company's own projection, not a market measurement, and it rests on AI accelerator demand holding up.

Even with expansion, Micron anticipates it will only be able to meet half to two-thirds of demand from its key customers. Mehrotra said customers are concerned about long-term access to memory, with buyers lining up for multi-year contracts to secure supply. The company said it is disappointed it cannot meet demand across all market segments. Two fabs in Idaho are underway, with the first expected to start producing chips in mid-2027. A New York fab is planned, with groundbreaking expected in early 2026 and production starting somewhere around 2030.

The consumer side of that shortage is already visible in prices. The DRAM shortage is causing a surge in DDR5 prices, and suppliers disagree about when it ends. GPU vendor Sapphire says prices will stabilize in the next six to eight months. Kingston suggests prices will continue to go up. Tom's Hardware reported both positions, and neither has been confirmed by the passage of time yet.

The bubble question neither company settled

Wei's optimism stands against months of speculation about whether the AI industry is in a bubble. In November, Google CEO Sundar Pichai warned of irrationality in the AI market and said no company would be immune if a potential bubble bursts. OpenAI's Sam Altman acknowledged in August that investors are overexcited and that someone will lose a phenomenal amount of money. Those are warnings from people selling into the same demand, which makes them worth reading carefully rather than as verdicts.

What the two earnings reports actually establish is narrower than the headlines suggest. TSMC is spending against demand it says it verified with cloud providers. Micron is sold out against demand it cannot fully serve for years. Neither fact rules out a correction in valuations, and neither tells you what happens to capital expenditure if AI data center orders slow. The capacity being built will arrive between 2027 and 2030, well after the current spending cycle has either held or broken.

For now, the chipmakers are reporting the demand, raising the spending, and letting the memory shortage set the ceiling.