Industry reporting out of Taiwan indicates that the world's three largest memory manufacturers, Samsung, SK Hynix, and Micron, have already sold every unit of DRAM and HBM they plan to produce in 2027, more than a year before that capacity actually ships. July and August are traditionally when the industry locks in next year's supply contracts, and this year that process reportedly closed with hyperscalers and AI labs absorbing the entire pipeline through long-term agreements running up to five years, with some buyers said to be paying steep premiums or outright pleading for allocation they could not otherwise secure. For anyone building software rather than hardware, the reason this matters is where the squeeze lands: AI training and inference infrastructure is absorbing the high-bandwidth memory that GPUs depend on, which leaves proportionally less standard DRAM output for everything else, servers, laptops, desktops, and phones. Reporting suggests consumer and enterprise DRAM allocations for 2027 will be meaningfully smaller than what buyers got this year, with some customers reportedly securing only 60 to 70 percent of what they actually requested. Practically, that points toward continued upward pressure on RAM prices through 2026 into 2027, tighter default memory configurations in new laptops and phones, and cloud providers facing higher costs provisioning new server capacity, costs that tend to eventually show up in compute pricing. NAND flash for SSDs is under similar but less severe pressure, with remaining 2027 allocation expected to be fully booked by the end of this month. Teams planning infrastructure spend, hardware refreshes, or on-prem GPU purchases into next year have a concrete reason to lock in orders and budgets earlier than usual, since the underlying constraint here is not a temporary supply hiccup but a structural reallocation of global memory output toward AI infrastructure that multiple industry executives now describe as the worst memory shortage on record.