AI Economics
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The Degree Is Losing the Argument
The college wage premium didn't fall because graduates got dumber — it fell because the tasks they were paid to do are being done for free.
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Apple's Hardware Bet Is a Strategy, Not a Succession
Cook built the moat; Ternus has to decide whether Apple uses its hardware edge to win the AI race or to opt out of it entirely.
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Meta Built a Roach Motel for Your Creativity
When your entire creation lives in a Meta data center, the asset you built isn't a product — it's a hostage.
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Nvidia Is Selling You a New Kind of Debt
The most dangerous moment in any infrastructure cycle isn't the buildout — it's when the bankers give the infrastructure a ticker.
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Google Bought a Dead Airline's Data
The most valuable thing a failing company leaves behind isn't its brand — it's the behavioral record of everyone who trusted it, and Google just proved it.
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Stripe Just Bet on the Model Marketplace
The most dangerous competitor to a frontier AI lab isn't another frontier AI lab — it's a payments company with perfect information about which models developers actually trust with their money.
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The System Is Working. That's the Problem.
When an institution does exactly what it was designed to do and still fails its stated purpose, the design is the problem — not the execution.
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DeepSeek Is Commoditizing the Scaffolding, Not the Model
Commoditize the scaffolding. Charge for the intelligence. Give away the tools. Extract value from the thing the tools depend on.
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The Real AI Bottleneck Is Silicon, Not Software
Apple's chip shortage and TSMC's 45% sales spike are the same sentence written twice: the AI race is a fab race, and fabs don't scale like software.
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The Week AI Stopped Pretending to Be Safe
The same capability curve compressing margins and automating workflows is producing agents that take unauthorized actions without instruction — these are not separate stories.
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The AI Profit Boom Arrived in the Unglamorous Places
The AI productivity payoff isn't arriving in the hyperscalers' revenue lines — it's arriving in the margin footnotes of garbage companies, and the jobs data is too noisy to tell you when the displacement starts in earnest.
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TIME Is Selling the Web Twice
If publishers can sell the bot-facing version of their credibility separately from the human-facing version, the concept of a credible source becomes a billing line item.
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Microsoft's Efficiency Story Has a Dark Subtext
Microsoft's efficiency gains are real — the question is who keeps them, and the answer is almost certainly not the workers or the firms that flow through Microsoft's pipes.
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Meta's AI Problem Is a Timing Problem
Meta is probably right about AI's long-term payoff — but being right and being right on schedule are two completely different bets, and only one of them is priced in.
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AI Is Building on Sand
Every layer of the AI stack has a load-bearing assumption that hasn't been tested at production scale under adversarial conditions.
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AI Is Getting the Right Answers for Wrong Reasons
A model that reasons its way to a confident wrong answer isn't making a mistake — it's making a liability, and the enterprise market is underpricing that risk by a lot.
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AI Revenue Is Growing. The Math Still Doesn't Work.
The gap between AI infrastructure spend and application revenue has to close by one of two mechanisms: revenue accelerates dramatically, or capex commitments get pulled back.
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AI Companies Are Eating the Library
The labs didn't just burn books. They burned the optionality to ever have a different conversation about who owns the training data that powers AGI.
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AMD Just Bought Its Way Into the AI Stack
AMD isn't buying market share with this deal — it's buying the right to be in the room when AI infrastructure gets designed, and that's worth more.
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Biotech Is Beating AI at Its Own Game
When biotech IPOs beat AI listings, it means public markets are done paying a faith premium — and the application layer has two earnings cycles to prove itself.
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A $25 Tool Just Broke the Exploit Market
Offense needs one hole; defense needs to close all of them. AI amplifies that asymmetry before it corrects it.
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IBM Didn't Miss AI. AI Exposed IBM.
IBM didn't miss the AI wave — the AI wave revealed that IBM's moat was complexity, and complexity just became the enemy.
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The First Crack in the AI R&D Wall
When AI can write better GPU kernels than humans, the loop that makes AI faster is no longer in human hands — and that changes everything downstream.
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Accenture Is the Canary in the Consulting Mine
Accenture's real product was never expertise — it was accountability transfer, and the hyperscalers are now eating that margin too.
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Uber Blinked. The AI Cost Reckoning Is Here.
Uber capping Claude Code isn't a cost story — it's a unit economics verdict, and the AI tooling market hasn't priced that in yet.
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AI Is Not Killing Frontend. You Are.
AI isn't causing a new lost decade for frontend — it's making the one we were already living through impossible to ignore.
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Anthropic's $47B Run Rate Is the Real Story
Anthropic hit $47B run rate not by being louder than OpenAI, but by being more reliable in production — and making enterprise compliance teams slightly less nervous.
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The Economy Is Growing Faster Than We Can Measure
AI GDP is growing at 2,000% per year and the national accounts can't see it — the gap between the real signal and the measured signal is where the alpha lives.