Ideas Weave Every Narrative with AI.
AMD is about to invest $5 billion in Anthropic — paying a customer to be a customer. This closed-loop capital ‘ouroboros’ reveals the AI industry’s dirty secret: hardware vendors are so desperate to break Nvidia’s monopoly, they’re subsidizing their own demand. When the music stops, the bubble will burst.
I used three AI skills to perfectly generate lesson plans, PPTs, and homework for my kid this summer. The AI worked flawlessly. So why did I immediately quit teaching? Because AI didn’t make the job easier—it just handed me a mirror showing exactly how impossibly hard real teaching actually is.
The real threat to OpenAI and Anthropic isn’t Chinese regulation or compute shortages—it’s that their own clients will bypass them entirely and use Chinese open source models directly. The middleman always gets squeezed out when the source becomes directly accessible. This is the classic platform disruption happening in real time, and the incumbents are in denial.
The wave of lawsuits against AI companies looks like a copyright battle, but it’s actually something far more unsettling: a colonial land grab where the land is human expression itself. Anthropic’s $1.5B settlement isn’t justice — it’s a precedent that retroactively licenses cultural capital while leaving individual creators with nothing. The legal system has no language for what’s really being stolen.
The loudest voices calling for AI safety regulation are the same incumbents who stand to lose the most from open-source competition. Bill Gurley’s op-ed exposes the truth: open models aren’t a security threat—they’re what competition looks like. Don’t let fear-based regulation lock in a monopoly on the future of computing.
While everyone thinks Nvidia is the undisputed winner of the AI boom, the real profit center is shifting to model companies like Anthropic. Nvidia is deliberately leaving $40 billion on the table by underpricing GPUs, while secretly capturing margins through SOCAMM memory and network price discrimination. This strategic restraint is a long-term bet — but when it ends, the entire AI value chain will be reshuffled.
After 12 days learning Claude Code, I discovered the most valuable artifact wasn’t a subagent or a hook — it was an 800-word style guide defining how the AI talks to learners. The real moat in AI products isn’t architecture. It’s emotional intelligence encoded as interaction rules that make users feel understood, not just served.
Anthropic quietly bundled Fable 5 into high-tier plans, ensuring power users stay locked in while enterprise customers subsidize the cost. It’s a silent retention strategy more powerful than any flashy announcement.
The AI sell-off isn’t a bubble popping — it’s a war between Wall Street’s demand for quarterly returns and Big Tech’s plan to own the infrastructure of the next century. While investors panic over capex, companies like Google, Microsoft, and Amazon are building compute tollbooths that will tax every future AI product. The spending isn’t reckless. It’s the most aggressive land grab since the oil boom.
ERP vendors are quietly shifting from selling software subscriptions to metering AI usage via token-like units. By wrapping AI capabilities into usage-based pricing, they are turning your fixed software costs into an unpredictable, perpetual burn rate. As AI agents handle more complex tasks, every automated decision burns tokens—transforming your ERP system from a one-time investment into a permanent tax on your business operations.