As AI gobbles up chips, prices for devices may rise

RAM prices already high, not “may rise”

• Many commenters say prices have already “gone through the roof”, citing 2–3x+ increases on identical RAM or systems bought a few years ago.
• Some see announcements about “ramping up production” as PR spin, since retail prices only move upward.

Oligopoly, AI demand, and suspected hoarding

• DRAM production is dominated by a few major fabs; consumer “brands” are mostly just resellers.
• DRAM manufacturing is highly specialized and hard for new fabs to enter.
• Several comments allege that big AI players are locking in huge long-term DRAM contracts (or buying up wafer supply), effectively cornering a large fraction of capacity and pushing up prices for everyone else.
• Others argue this is mostly textbook supply–demand: demand spiked faster than capacity can grow, so prices rise.

Supply, fabs, and product focus shifts

• Micron’s exit from direct-to-consumer (Crucial) is seen as emblematic: capacity is being redirected toward high‑margin AI and enterprise instead of retail.
• Some memory makers reportedly cut NAND and DDR4 output or delayed expansions, then benefited from higher prices when AI demand hit.
• DRAM processes differ from logic; companies like GlobalFoundries can’t easily pivot into competitive DRAM.

Device makers and SoC/on‑package memory

• On‑die SRAM in SoCs isn’t affected, but on‑package or on‑board DRAM (Apple M‑series, Snapdragon, Ryzen “AI” parts) still depends on the same constrained DRAM dice.
• Large OEMs (Apple, others) are said to have multi‑year price and volume contracts, temporarily insulating flagship devices; smaller PC vendors and mini‑PCs already show price hikes.

Impact on consumers and personal computing

• Users report “regression” in budget PCs: higher prices but 8 GB RAM, weaker CPUs, fewer features; similar trends in phones, with once-midrange features pushed upscale.
• Some advocate stretching existing hardware with Linux or lightweight setups; others note this can’t scale if everyone does it.
• Concern that rising hardware costs plus enshittified software will hurt students, researchers, and users in poorer regions most.

Software bloat vs optimization (and centralization)

• Many hope expensive RAM will finally push devs away from Electron, JS-heavy sites, and bloated apps, forcing efficiency and leaner UIs.
• Skeptics expect the opposite: more offloading to cloud IDEs and SaaS, making powerful local machines optional only for big companies and wealthy users.

Politics, regulation, and inequality

• Some frame current pricing as cartel‑like behavior or “AI tax” that justifies government intervention, antitrust action, and subsidies for domestic fabs.
• Others stress that long‑term contracts and spot pricing carry different risks, and that over‑aggressive regulation can backfire or be captured by incumbents.
• A recurring worry: AI’s concentrated capital and resource draw will deepen inequality, price smaller players out of computing, and erode “personal computing” in favor of thin clients tied to a few hyperscalers.

Historical analogies and future trajectory

• Several compare this to GPU/crypto and the fiber‑optic overbuild: massive capex, then a glut and price collapse years later.
• Debate remains whether DRAM makers will actually overbuild; some say they are still cautious after previous boom–bust cycles.
• If AI demand cools after new fabs come online, commenters expect another era of very cheap memory—but not for several years.