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Learning path2 terms · ~6 min read

The AI Bubble Explained

Seven terms that decode whether AI is overpriced, fairly priced, or criminally underpriced. Read in order.

Start · Mixture of Experts
ConceptsChapter 1 of 2

Why the cost floor is collapsing.

TL;DR

A model architecture where only a subset of experts activate per token, slashing inference cost while preserving quality.

MoE is why the AI price floor just dropped by 30×. Any model that isn't MoE by end of 2026 will be priced out of the commodity tier.

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ConceptsChapter 2 of 2

The new premium tier · and why it matters for pricing.

TL;DR

A model that generates internal reasoning tokens before producing the answer, trading inference cost for accuracy on math and logic.

Reasoning models changed the pricing ladder: the frontier is no longer one price. It is now $2/M for chat, $20/M for reasoning, and $200/M for agent execution.

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What you learned

By the end you can read the AI Bubble Index like a pro · understand what drives valuations, why inference economics matter, and where the real fragility lives.

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Next path · 6 terms
Pick an AI Model

Six terms to go from "I need an AI" to "here is the cheapest model that meets my spec."