Demand for AI infrastructure is likely to keep hardware pricing unstable into 2027, even as supply conditions start to improve in certain market segments, according to an analysis published by Channel Insider. Memory remains the most significant constraint. The analysis finds that DRAM and AI-focused memory could stay tight at least through the first half of 2027, while NAND supply may loosen earlier. For managed service providers, resellers, and other channel partners, that uneven recovery could mean ongoing uncertainty around quotes, lead times, margins, and customer refresh plans.
The hardware market in 2026 was reshaped by the continued expansion of AI infrastructure spending, the report notes. As enterprises and cloud providers invested more heavily in AI systems, demand increased for high-bandwidth memory, server DRAM, enterprise SSDs, high-capacity storage, and AI-optimized servers. That demand created broader pressure across the hardware supply chain, leading to longer lead times, shorter quote validity periods, and new margin challenges for partners. According to IDC data cited in the analysis, worldwide server spending increased 30.7% year over year in the first quarter of 2026, while unit shipments grew just 3.3%. Memory and NAND availability were already limiting shipments of non-accelerated servers, with elevated pricing expected to continue through at least the first half of 2027.
The report states that IDC expects the memory market to remain tight through 2027 as server demand continues to grow faster than supply can respond. The research firm said the ongoing AI infrastructure buildout has created a different demand profile for memory, with hyperscalers and AI server deployments consuming more HBM and high-density DRAM. KB Securities has warned that the memory shortage could worsen in 2027 as AI servers consume more HBM, DDR5 server memory, and enterprise SSD capacity, according to the analysis. However, TrendForce expects NAND supply growth to begin outpacing demand in 2027, potentially easing constraints during the second half of the year.
The analysis explains that even if hardware availability improves in 2027, pricing may not return to previous levels. AI infrastructure investment continues to drive demand for higher-value server and memory components, which could keep costs elevated regardless of supply improvements. New fabs, cleanrooms, and advanced packaging facilities can take years to build and ramp, meaning higher capacity announcements don't necessarily translate into immediate supply. That creates a disconnect between announced production increases and actual market relief. Pricing may vary depending on the vendor, configuration, and component mix, with memory-heavy systems remaining particularly exposed to higher costs.
Partners heading into 2027 may need to plan around continued uncertainty rather than assume that hardware pricing and availability will normalize across the board, the report recommends. Channel partners should protect quotes and build flexibility into hardware deals by shortening quote-validity periods, confirming pricing closer to the point of purchase, and avoiding commitments to longer-term fixed hardware pricing without accounting for potential cost changes. Partners can also identify alternative components, server models, or storage options before a deal reaches procurement to make it easier to adjust when a preferred product becomes constrained or its price increases. Higher hardware costs could also lead some customers to reconsider the timing or scope of planned refreshes, creating more conversations around which systems need immediate replacement and where existing infrastructure can be extended until pricing or availability improves. The report concludes that partners who build alternatives into configurations, protect margins in their quotes, coordinate earlier with distributors, and help customers phase refresh projects will be better positioned to navigate a market that may improve without becoming predictable. The fragmentation between memory types means channel strategies built for uniform price movements will likely misread the coming year, while customer expectations around refresh cycles may need active management rather than passive assumptions.