AI demand to keep memory tight through 2027, chipflation to squeeze consumer hardware and cloud costs
New Delhi, June 10
Memory storage is set to remain a structural bottleneck through 2027 as AI demand continues to absorb Dynamic Random-Access Memory, High Bandwidth Memory and enterprise Solid-State Drive supply. Morgan Stanley expects allocation-based supply chains, not spot pricing, to dominate, leaving non-AI buyers with tighter pools, higher costs and weaker access. Even with total DRAM wafer capacity expanding 30% by 2027, supply available for smartphones, PCs, autos and industrial markets is projected to fall 12-15% short as suppliers prioritize high-margin HBM and server memory.
Policy responses like US or China subsidies, tax credits or permitting reform could ease pressure eventually, but supply responses take years to build, qualify and ramp. With US policy assumed to stay restrictive, near-term relief looks unlikely. The result is a durable supply-demand reset rather than a typical semiconductor upcycle.
The crisis began as an AI infrastructure constraint but is now spreading across the digital economy. AI demand has pushed memory prices up six-fold in the past year. Hyperscalers and AI buyers are locking in capacity through long-term agreements, prepayments and strategic commitments. That replaces commodity-market pricing and leaves a smaller, more volatile supply pool for traditional OEMs.
Morgan Stanley defines "Chipflation" as the shift from historical deflation in microelectronics toward sustained price increases, with memory inflation no longer just a component-price issue. HBM is essential for AI accelerators but consumes disproportionate advanced DRAM capacity. As suppliers crowd HBM, server DRAM and enterprise SSDs, less remains for smartphones, PCs, autos, networking and industrial markets.
The divide is sharpening between memory suppliers and downstream hardware companies. Memory chip producers benefit from stronger pricing, margins and visibility. OEMs and cloud buyers outside AI must absorb higher COGS, pass costs through, cut specs, delay launches, or face demand destruction in price-sensitive consumer markets. Large cloud buyers can secure supply and capitalize costs, while non-AI buyers face allocation stress.
Macro impact extends beyond CPI. Headline consumer inflation effects may be modest due to small basket weights, but pressure is visible in PPI, corporate margins, cloud bills, capex budgets and delayed technology deployment. Insufficient chip supply can slow data center projects, cloud development and productivity growth. Chipflation is now demand-driven by AI infrastructure rollout, making this cycle broader than a normal semiconductor upturn.
— ANI
Reader Comments
As a small business owner, I just renewed my cloud subscription and the price hike is already visible. We are paying almost 40% more for storage than last year. Big companies can absorb these costs, but for MSMEs like us, it's a huge burden. Chipflation is real for small players in India. 😔
The article mentions policy responses in US and China, but what about India? We should be capitalizing on this global shortage to attract memory fabs here. Our production-linked incentive (PLI) scheme should be extended to HBM and DRAM manufacturing. This is a strategic opportunity we cannot afford to miss.
I work in hardware procurement for a laptop brand here. We are seeing allocation cuts for consumer SSDs and RAM by almost 20% for next quarter. Margins are squeezing everywhere. The irony is that AI boom in the West is causing shortages for everyday products in India. Chips are the new oil, and we are importing most of it.
Interesting analysis, but I don't think the situation is as dire as portrayed. Market dynamics will eventually adjust. We've seen similar shortages before, and new capacity always comes online. Also, memory prices falling 6x was not sustainable either. This correction was overdue. Let's see how it plays out in 2025-26.
As a student who just built a PC for AI/ML projects, I can feel this firsthand. DDR5 prices have doubled in a year! The article is spot on about allocation-based supply chains. Non-AI buyers like us are definitely getting
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