Apple raises prices of MacBooks, iPads

Original Article ↗ Hacker News Discussion ↗

Scope and scale of Apple’s price hikes

  • Mid‑cycle, Apple raised prices ~20–30% across most Macs, iPads, Apple TV, HomePod, and Vision Pro, with some high‑end configs (128GB RAM, large SSDs) jumping by $1.5k–$3k.
  • Cheapest models (Neo, base Air, base iPad) now sit at visibly higher “entry” prices; some configurations were removed or reintroduced at higher tiers.
  • Commenters note this kind of across‑the‑board hike without new hardware is historically rare for Apple.

RAM / NAND shortage and AI demand

  • Apple attributes the hikes primarily to soaring memory costs; linked reporting says suppliers like Micron expect “tight” conditions into at least 2027–2028.
  • AI datacenter build‑out (HBM + DDR + NAND) is widely blamed for absorbing global capacity; memory makers report very high gross margins (~80%+).
  • Building or repurposing fabs is capital‑intensive and slow (3–4+ years), so supply can’t quickly respond; past overbuilds that led to crashes make manufacturers cautious.
  • Some expect Chinese vendors (CXMT, YMTC) to grow share and eventually moderate prices; others doubt they can scale fast enough or avoid export bans.

Market dynamics, regulation, and blame

  • Strong disagreement over whether AI labs “hoarding” DRAM should be curbed:
    • Pro‑regulation side suggests caps on how much of a commodity any buyer can reserve, or sanctions/quotas to protect consumers.
    • Opponents argue RAM is a global commodity; domestic controls would just push demand and data centers offshore and hurt local firms.
  • Memory “cartel” history (price‑fixing cases) is cited as evidence markets don’t self‑correct cleanly.
  • Some see Apple as preserving fat margins instead of sharing pain; others counter that even Apple can’t indefinitely eat multi‑year component spikes.

Impact on consumers and purchasing behavior

  • Many report machines they were about to buy are now $500–$2,000 more; some rush to third‑party retailers that still have old pricing.
  • Several say they’ll delay upgrades and stretch M1/M2 hardware for years; used/refurbished and non‑Apple options (Framework, XPS, Linux laptops) look more attractive.
  • There’s concern that higher prices will:
    • Push more users toward thin clients and cloud/“rented” compute.
    • Raise barriers for developers, hobbyists, and local AI enthusiasts (especially for high‑RAM configs).

Broader implications for personal computing and AI

  • Multiple comments frame this as a setback for democratized personal computing and local LLMs, and a boost to centralized hyperscaler AI.
  • Some predict “demand destruction” and a later bust with excess memory capacity; others think high prices and centralization are the new normal.
  • A minority is optimistic that high RAM costs will force leaner software and more efficient model architectures; others are skeptical developer behavior will change.