IT Infrastructure Squeezed as Memory Shortages Drive Lead Times Up to 18 Months
Enterprise IT projects are facing extreme delays and cost hikes as memory shortages, driven by hyperscaler demand, push hardware lead times up to 18 months.

Key takeaways · 3
- 01
Infrastructure lead times have extended from roughly a month to between nine and 18 months.
- 02
Memory prices have spiked up to 200%, pushing some server costs up more than 125%.
- 03
Memory could constitute up to 25% of network hardware expenses by the end of 2027.
Escaping Infrastructure Costs
Lead times for IT infrastructure crucial to enterprise projects have extended to between nine and 18 months. [1] Memory shortages are driving these disruptions, with memory prices surging between 50% and 200%. [1] According to Gartner VP analyst Jon Forest, these memory constraints have caused PC prices to rise by 35% to 45% and pushed some server prices up over 125%. [1] Companies that previously experienced 30- to 45-day lead times for infrastructure are now facing delays of six months or more. [1]
Hyperscalers and Future Outlook
Experts indicate that hyperscalers are consuming memory capacity, which then impacts the availability of servers, storage systems, and networking devices. [1] Moor Insights & Strategy analyst Matt Kimball notes that the shortages are affecting businesses ranging from 1,000-server to 10,000-server environments. [1] Memory costs are projected to continue rising sharply into 2027. [1] By the end of 2027, memory is expected to account for up to 25% of network hardware expenses. [1]
What it means
The dominance of hyperscalers in securing memory capacity creates a severe bottleneck for standard enterprise AI and infrastructure projects. As lead times stretch from a single month to potentially over a year, organizations will have to operate their 1,000- to 10,000-server environments with older hardware while facing massive capital expense hikes for routine upgrades. What the sources don't address: whether regulatory or market interventions might prioritize memory allocations for smaller enterprises over hyperscalers.
Hardware procurement cycles are being severely disrupted, forcing AI practitioners and IT teams to rethink deployment timelines and budgets. Organizations must plan deployments around massive delays and optimize existing server utilization.
Why it matters
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Start freeHow this developed
7 September 2026
IT Infrastructure Squeezed as Memory Shortages Drive Lead Times Up to 18 Months
7 September 2026
Event created from source cluster.