Bloomberg Intelligence Says Memory Chip Prices Face Downturn as AI Supply Expands
Analysts flag supply-demand reversal in memory chips, with direct consequences for data center build costs and the power demand narrative underpinning energy markets.
Memory chip prices are heading lower as production capacity catches up with the wave of demand generated by the AI boom, Bloomberg Intelligence analysts said in a podcast segment published Wednesday (2026-08-26). The call marks a potential reversal in one of the more durable input-cost trends that has shaped data center economics over the past two years.3
The energy market connection runs through capital expenditure. Memory chips are a core cost component for the server racks inside the data centers now driving power demand growth across the US and Europe. Cheaper components ease pressure on hyperscaler hardware budgets, which could keep the buildout pace intact even as inflationary pressure on individual parts subsides.3
Bloomberg Intelligence framed the current setup as a classic supply-catch-up cycle. The AI boom created what one analyst on the podcast described as unprecedented demand for memory, drawing in new fabrication commitments and pushing prices to historic highs. Those highs have now attracted enough new supply to close the gap.3
But one analyst on the podcast was cautious about how far historical precedent applies. Memory markets have historically been cyclical, with sharp price reversals once new capacity comes online, though the analyst questioned whether that pattern holds given how substantially AI has reshaped the demand base — and said directly that the old dynamic may not apply to memory chips now.2
The Bloomberg Intelligence analysts gave no specific timeline or magnitude for the price decline. The direction of travel was clear; the depth and speed are not. Trading desks that built positions around persistent memory scarcity have limited guidance from the conversation on when to adjust.3
For energy markets, the more bullish read is that falling memory prices improve the economics of each new AI server rack, which accelerates deployment rather than curbs it. On that scenario, the power demand picture stays constructive even as hardware costs fall. The bearish read inverts that logic: if hyperscalers are cutting procurement, cheaper memory reflects weaker AI investment appetite, not just supply relief, and that would matter for the load growth narrative that has anchored gas and power pricing.3
NYMEX Henry Hub front-month traded at $2.80/MMBtu early Wednesday (2026-08-26). US natural gas storage drew only 52 Bcf for the week compared with the five-year average withdrawal of 168 Bcf, leaving inventories 141 Bcf above year-ago levels — around 8% higher — according to Nasdaq data. That surplus has kept a ceiling on gas prices even as power demand rhetoric has remained bullish.1
ICE Endex TTF front-month was at €66.50/MWh early Wednesday (2026-08-26), with Asian LNG at JKM quoted at $23.32/MMBtu on the same morning. Those levels reflect a market still pricing in meaningful gas demand from AI-driven and conventional data center loads, particularly across Europe, where the gas-to-power link is more direct than in the US. [Live Prices]
The ICE Brent crude front-month held near $86.42 per barrel early Wednesday (2026-08-26), with no material move tied to the memory market discussion. The Citigroup forecast cited by Bloomberg earlier this summer anticipated Brent falling to $60 per barrel by year-end as Strait of Hormuz shipping normalises, though oil and memory chip markets are not directly linked.4
The two scenarios the Bloomberg Intelligence conversation leaves open — input-cost relief accelerating the AI buildout versus a demand-side pullback signalling a broader slowdown — carry opposite implications for power traders. Volume growth with cost relief supports current load forecasts and keeps TTF and Henry Hub pricing biased toward the scenarios built around data center electricity consumption continuing to climb.
What comes next is hyperscaler earnings and forward procurement guidance. Memory orders rising at lower prices would indicate volume-driven growth with hardware deflation; a hold or cut on orders would suggest the AI investment cycle is losing momentum. The distinction between those two readings is what the energy demand bull case actually rests on.3