Micron Technology crossed the $1 trillion market cap mark as AI-driven demand for high-bandwidth memory chips sent its shares up more than 6% in pre-market trading.
Micron Technology crossed the $1 trillion market cap mark as AI-driven demand for high-bandwidth memory chips sent its shares up more than 6% in pre-market trading.

AI's insatiable appetite for memory chips pushed Micron Technology past the $1 trillion market capitalization mark, with shares jumping more than 6 percent in pre-market trading on May 27.
"AI is the new gold rush, and where before it was shovels and picks that were selling as fast as they could be made, now it's GPUs and memory," Holger Mueller, vice president at Constellation Research, said. "That's why Micron and SK Hynix have crashed through the $1 trillion value barrier."
The rally extends a blistering run that has seen Micron's stock gain about 214 percent since the start of 2026. The Boise, Idaho-based memory maker had only surpassed the $700 billion market cap milestone less than a month ago. UBS tripled its price target on the stock to $1,525 per share from $535, citing long-term agreement opportunities with major customers and partially fixed pricing on those deals. "We believe the market will start to put a more 'normal' multiple on the stock," the investment bank said in a report.
The milestone reflects a structural shift in the semiconductor industry, where memory chips — once a commoditized, cyclical business — have become a critical bottleneck for AI infrastructure. With neither Micron nor SK Hynix able to ramp production fast enough to meet demand, pricing power has shifted decisively to suppliers, accelerating profits and driving valuations to historic levels.
SK Hynix, the South Korean memory maker, also crossed the $1 trillion threshold on the same day, its shares gaining more than 11 percent. Samsung Electronics had reached the milestone a few weeks earlier. The synchronized surge means three of the world's largest memory chipmakers now command a combined market value exceeding $3 trillion, a concentration of wealth in a single semiconductor sub-sector that has few historical parallels.
The demand stems from high-bandwidth memory, or HBM, chips that are essential components of AI accelerators from Nvidia and others. These chips stack DRAM vertically to achieve far greater data transfer speeds than conventional memory, making them indispensable for training large language models. The global shortage of HBM has given suppliers extraordinary pricing leverage, with memory prices rising sharply through 2026. Micron and SK Hynix together control the vast majority of the HBM market, creating a duopoly that analysts expect to persist until at least 2027 as new fabrication capacity comes online.
The supply chain for HBM relies heavily on advanced packaging technologies such as CoWoS (chip-on-wafer-on-substrate), a process dominated by Taiwan Semiconductor Manufacturing Co. Any disruption at TSMC's packaging facilities could constrain HBM supply further, adding another layer of risk to an already tight market.
For investors, the question is whether the memory boom has further to run. Micron trades at a significant premium to its historical average, reflecting the market's expectation that AI-driven demand will persist. Intel, which initially missed the AI boom, has also benefited from rising demand for central processing units, with its stock up more than sixfold this year and trading near all-time highs.
"Prudent investors would be smart to ask when the memory bonanza will end, but with AI still roaring ahead, that's unlikely to happen this year," Mueller said.
Other chipmakers including Advanced Micro Devices, Qualcomm and Marvell Technology have also reached all-time highs in recent weeks, reflecting the breadth of the AI-driven semiconductor rally. The Philadelphia Semiconductor Index has gained more than 80 percent this year, powered by the memory and GPU makers at the center of the AI infrastructure buildout. For Micron, the key risk is whether capacity additions by competitors or a shift in AI chip architecture could erode its pricing power over the next 12 to 18 months.
This article is for informational purposes only and does not constitute investment advice.