UBS raises DRAM and NAND price forecasts amid AI demand surge

UBS has dramatically hiked its memory chip price forecasts, projecting that DRAM and NAND contract prices will surge far more aggressively than previously anticipated, driven by artificial intelligence demand.

The investment bank now expects DDR prices to climb 32% quarter-over-quarter in Q3 2026 and 18% in Q4 2026. Those figures are up sharply from earlier estimates of 17% and 12%, respectively. On the NAND side, UBS lifted its projections to 30% QoQ growth in Q3 2026 and 12% in Q4 2026.

The AI memory vacuum

The explosion of hyperscale data centers and AI server deployments has fundamentally reshuffled how semiconductor manufacturers allocate their wafer production. Capacity that once went toward traditional DRAM and NAND is increasingly being redirected to high-bandwidth memory, the specialized chips that power AI accelerators and training clusters.

That reallocation is creating a supply squeeze across the broader memory market. UBS projects DRAM demand will increase by 36.2% in 2027, while supply will grow at only 19.3%.

By 2027, UBS anticipates a record 17-percentage-point demand-supply gap in DRAM. The bank’s analysis suggests memory shortage conditions in DRAM could persist through at least Q2 2028 across various scenarios.

Revenue forecasts paint a trillion-dollar picture

UBS has also revised its broader memory industry revenue outlook upward. The bank now estimates memory revenues will hit $992 billion in 2026 and soar to $1.763 trillion in 2027.

The forecast adjustments have led to increased price targets for major memory producers like Micron, which stands as one of the most direct beneficiaries of sustained pricing power in DRAM and NAND markets.

What this means for crypto and tech investors

AI and crypto mining share significant hardware supply chain dependencies. Both require massive data center buildouts, both compete for semiconductor manufacturing capacity, and both are driving capital expenditure cycles at hyperscale cloud providers. When memory prices spike, the cost of deploying and maintaining the infrastructure that powers everything from AI training to blockchain validation goes up.

For crypto miners specifically, higher memory prices can increase the cost of building and upgrading mining rigs. NAND prices affect storage costs for blockchain nodes and validators, particularly on chains with large state sizes. DRAM prices impact server costs across the board.

For investors watching this space, the key metric to track is the demand-supply gap trajectory. If that 17-point spread materializes in 2027 as UBS projects, it would represent the tightest memory market in recent history.

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