「When consumers need devices, but supply is reduced, and memory manufacturers are passing on significant price hike pressure. We absolutely need memory pricing and supply to return to a reasonable level for consumer products. This is the bottom line.」
On June 17th, in an interview with The Wall Street Journal, Apple CEO Cook discussed the cost pressure from memory price increases, but at that time, products had not yet increased in price. Less than a week later, on June 25th, Cook was interviewed by The Wall Street Journal again, referring to the cost shock as a “once-in-a-century flood,” saying, “In more than 40 years, I have never seen a situation like this in any area.”
Musk promptly agreed on social media, saying, “Cook told The Wall Street Journal that this surge in costs is something he has ‘never seen in over 40 years in any area’. Neither have I; this is the most intense price surge I’ve ever seen.”
Subsequently, Apple announced price increases across its entire product line, including Mac, iPad, HomePod, Apple TV, and Vision Pro. Looking back at the two interviews, it seems more like a prelude to a product price adjustment.
Just the day before Apple took action (June 24th, local U.S. time), Micron announced its latest quarterly performance: a gross margin of 84.9%, revenue quadrupled, and the stock price surged 16% after hours. The next day, Apple’s stock price fell by 6.1%, with a market capitalization evaporating over $100 billion, marking its largest single-day decline since April 4, 2025.
Upstream memory manufacturers are making huge profits, while downstream Apple is forced to pass on the costs. An Apple spokesperson stated in a price increase announcement: “The rapid expansion of AI data centers has led to a sharp increase in demand for memory and storage chips. We have never experienced such a rapid and substantial increase in component prices. Previously, we have always tried to avoid passing on this part of the cost to consumers. But under the current circumstances, we have had to adjust prices for multiple products.”
01 Backlash of Price Pressure
Taking the iPad and Mac products sold in mainland China as an example, the starting price of the Mac product line has increased by various amounts, ranging from 900 yuan to 3500 yuan, and the starting price of the iPad product line has increased by various amounts, ranging from 800 yuan to 1800 yuan. The Vision Pro has also increased in price, previously priced at 29,999 yuan, and now priced at 31,999 yuan, an increase of 2000 yuan.
However, Apple has never in its modern history implemented such a large-scale price increase across most of its product line. Looking back at Apple’s product pricing, at most there has only been a slight increase, such as last year’s iPhone 17 Pro seeing a modest $100 bump.
Counterpoint’s Research Director David Naranjo expects that other PC and tablet brands will also follow Apple’s lead by raising prices on some products, reducing entry-level model discounts, or further shifting the product focus towards the high end. The cost pressure mainly stems from the skyrocketing prices of DRAM memory and NAND storage chips, a well-known industry trend. Data from market research firm TechInsights shows that prices of these two types of storage chips have quadrupled over the past 12 months.
Micron executives also acknowledged during the earnings call that the tight supply situation will persist beyond 2027. Interestingly, Micron this time publicly blamed large customers’ pricing pressure tactics as the “main culprit” behind the memory price surge. Sumit Sadana, Micron’s Chief Business Officer, said in a post-earnings call interview that during the last memory market downturn, certain major customers aggressively pressured prices, causing Micron’s gross margin to turn negative, which in turn hindered capital investment.
Patrick Moorhead, Founder and Chief Analyst of Moor Insights & Strategy, stated: “In this round of memory manufacturers’ retaliation, it all came down on Apple. Most of Micron’s revenue growth this quarter resulted from price increases rather than volume growth. The price hike has harmed OEMs, ultimately impacting consumers.”
Counterpoint Research Vice President Neil Shah pointed out that Apple has maintained stable prices for at least two quarters, but its cost absorption capacity has now reached its limit. He explained, “An unprecedented AI infrastructure boom is reshaping the global semiconductor supply chain. The AI expansion is driving continuous growth in demand for DRAM, NAND, and compute chips, but capacity is struggling to keep up.”
02 Why Didn’t the iPhone Increase in Price
Evercore ISI analyst Amit Daryanani pointed out in a research report, “While a price increase would help protect gross margins, raising prices during a product cycle is extremely unusual for Apple and also increases the risk of resistance to Mac and iPad demand.”
The decision to postpone an iPhone price increase is aimed at maintaining the stability of Apple’s core product line. Cook had previously explained the difference in impact between the iPhone and Mac. The iPhone’s impact due to the memory issue is less than that of the Mac, with its main challenge being the shortage of main device processors.
Market research firm IDC predicts that all new iPhone models will be upgraded to 12GB of RAM to support the full Apple Intelligence feature set. The institution also assessed that, thanks to a more diverse product lineup and the anticipated launch of a foldable iPhone, the average selling price of Apple’s phone will increase by 12% this year. Bloomberg further reinforced the price hike expectations — Apple is expected to launch a foldable model in September with a price tag that could exceed $2,000.
03 Who’s Paying for AI Expansion
Gene Munster, Managing Director of Deepwater Management, believes that the stock price drop is an “overreaction.” His argument is based on demand elasticity: “In most cases, demand for Apple products is inelastic, meaning that a significant price change only results in a small demand fluctuation.”
After Apple announced a price increase, Microsoft also announced on the 25th that it would raise prices for Xbox game consoles starting from August 1. Microsoft stated: “Game console storage and memory prices have increased by more than 2.5 times, and we expect another doubling by the fall of 2027.”
According to public data, Apple’s stock price has already fallen by 12% in June, on track to mark its worst monthly performance since December 2022. With Apple’s stock price under pressure, cost increases are gradually being passed on to consumers, and the pressure is cascading down from the top.
[Tencent Technology]
The Apple price hike is not a pricing decision — it is a manifest symptom of a seismic shift in global semiconductor economics driven by an AI infrastructure explosion. When Apple CEO Tim Cook called the memory price surge a “once-in-a-century flood,” he wasn’t exaggerating. He was signaling the end of the post-pandemic silicon glut and the dawn of a new era where hardware scarcity, not software innovation, dictates profitability.
The evidence is undeniable: Micron’s 84.9% gross margin, quadrupled revenue, and 16% post-earnings surge reveal that memory manufacturers have captured unprecedented pricing power. DRAM and NAND prices have quadrupled in 12 months — not due to speculative demand, but because AI data centers are devouring memory like a black hole. Every LLM training run, every vector database, every real-time AI inference pipeline requires tens of gigabytes of high-bandwidth memory. And supply? It’s dragging. Micron executives project this squeeze will last until at least 2027.
Apple’s response — its first broad-based price increase in decades — is a strategic surrender, not a misstep. Had Apple absorbed these costs, its margins would have collapsed. Instead, it shifts the pain downstream to consumers, preserving its capital structure while validating a brutal truth: AI is not free. Every ChatGPT query, every Copilot suggestion, every Vision Pro spatial computing session is backed by $15–20 of memory chips that have quintupled in cost since 2022.
The stock market’s reaction — Apple down 6.1% on $100B in market cap loss — is a classic case of myopic trading. Investors were conditioned to believe Apple’s pricing power was invincible. But they misunderstood the nature of this shock. This isn’t inflation from wages or logistics — it’s supply-chain asphyxiation. Apple remains the most profitable consumer brand on Earth. Its demand is inelastic. Investors overreacted to a price increase, missing the bet: AI demand is so strong that it can cost-push through even Apple’s legendary brand loyalty.
Crucially, the iPhone’s exemption from the price hike isn’t a sign of strength — it’s a tactical retreat. Apple’s core revenue engine can’t afford demand elasticity risk right now. But behind the scenes, the iPhone is being re-engineered for AI: 12GB RAM, Apple Intelligence integration, and the imminent $2,000+ foldable model signal that the real AI premium is being built into the flagship. What started as a memo on memory costs is becoming Apple’s next $50 billion product strategy.
The ripple effects are accelerating. Microsoft just hike Xbox prices. Sony will soon follow. Dell, HP, Lenovo — all are walking the same tightrope. When consumer electronics price floors rise, so does the opportunity cost of adoption. This is the “AI tax” — and it’s being billed to everyone with a credit card.
For crypto investors, this is no longer a speculative AI narrative — it is the foundation of a new infrastructure thesis. Tokens tied to real, scalable, decentralized alternatives to centralized cloud stacks are about to enter a bull phase:
- RNDR (Render Network): Decentralized GPU rendering is gaining traction as enterprises seek to avoid NVIDIA’s premium pricing. If Apple pays $2,000 more for a Vision Pro due to memory scarcity, will they pay $200 less for decentralized AI compute?
- FET (Fetch.ai) & TAO (Bittensor): The AI brain needs memory to function. If centralized nodes become too expensive, decentralized inference networks become the only scalable alternative.
- AKT (Akash Network): Decentralized cloud computing — exactly what companies will need when Oracle and AWS hit their memory wall.
- FIL (Filecoin): Storage is the other half of the memory equation. With NAND prices soaring, decentralized storage firms are underleveraged gems.
Meanwhile, Bitcoin miners holding older ASICs face no direct pressure — but those building AI co-location facilities or GPU farms do. This is where crypto’s bifurcation deepens: the miners of the future are not just hashing — they’re hosting.
This isn’t a market correction. It’s a structural realignment. The legacy tech giants are being forced to monetize reality. And in that chaos lies a once-in-a-decade opportunity for crypto infrastructure playmakers. The AI revolution isn’t just in the code — it’s in the silicon. Those who bet on decentralized alternatives to Micron, NVIDIA, and Apple won’t just survive the next five years — they’ll dominate them.
The memory wars have begun. And the winners won’t be the ones making the most gadgets — they’ll be the ones building the most resilient supply chains.