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Your Next Phone Just Got More Expensive

Your next phone, laptop, and car are about to get more expensive - and AI is the reason.

Here's what's happening: there's a tiny chip inside virtually every device you own that makes it work. It's called a memory chip. And right now, AI is consuming them faster than the world can make them. The industry has a name for what's coming: "RAMmageddon." 😲

AI data centers — the giant facilities that power ChatGPT, Google Search, and everything in between — will consume roughly 70% of the world's memory chip production in 2026. That leaves smartphones, laptops, TVs, and cars fighting over what's left. When supply crashes and demand explodes, prices follow.

The numbers are already stark. One type of memory chip surged 75% in price in a single month. Chipmaker Micron called the bottleneck "unprecedented." Tim Cook warned it will squeeze iPhone margins. Elon Musk floated building Tesla's own chip factory just to secure supply. Chinese smartphone maker Oppo has already cut its 2026 shipment forecast by up to 20%.

The root cause is simple: Meta, Google, Microsoft, and Amazon are racing to buy millions of Nvidia AI processors. Each one requires enormous amounts of memory. Every chip that goes into an AI data center is one that doesn't go into your next phone. The shortage is expected to last through 2027.

Ayesha's Take: This is the hidden cost of the AI arms race that almost nobody is talking about. When Big Tech spends an estimated $650 billion on AI infrastructure this year, it is not just their own money at stake - it is the capacity of the entire global technology supply chain. The "AI divide" is not just about who can access ChatGPT. It may soon also be about who can afford to buy a mid-range smartphone. That is a global equity issue, and it deserves far more attention than it is getting.

Source: Bloomberg

$3,000 for Your Life’s Work

In one of the largest copyright settlements in US history, Anthropic agreed last year to pay $1.5 billion to resolve a class action lawsuit brought by authors who claimed the company used their books without permission to train its AI models.

The case, Bartz v. Anthropic, centered on Anthropic's use of pirated books downloaded from shadow libraries.

Roughly 500,000 copyrighted works are covered. The payout works out to approximately $3,000 per pirated work, with publishers receiving half before attorney fees are deducted.

Authors Michael and Kathleen Gear, who found 60 of their 88 books had been illegally downloaded and used, put it plainly to Cowboy State Daily: the settlement money barely covers the harm, and accepting it means you can never sue Anthropic again.

The Authors Guild updated its guidance this week with an important reminder: the deadline to file a claim is March 30, 2026.

Ayesha's Take: The $1.5 billion sounds enormous until you divide it by 500,000 works and subtract publisher and attorney cuts. But what authors are really grappling with is creative survival. If AI can learn your voice from your books and then generate new books in that voice, what exactly do you have left to sell? It is one of the defining tensions of the next decade, and the March 30 deadline is a small but real moment for creators everywhere to decide where they stand.

Sources: Bloomberg Law