AI bubble

Sets up a debate partner who argues the strongest bear case on AI valuations while you test your own view, one point per turn, and flags unverified claims.

Decodes a pasted central bank statement about AI and markets into plain words, with a glossary of five terms and what it does not claim.

Explains how circular deals between AI companies can inflate revenue, using a made-up chain of three firms and a step-by-step money trail.

Explains how a company's valuation is set, in 350 words with one invented worked example, so you can read AI valuation headlines with care.

Explains through five channels how a fall in tech valuations can reach households and businesses, marking what is well established and what is debated.

Explains in plain words how a retirement account can hold AI companies without you choosing them, and lists questions to ask your provider.

Explains the price-to-earnings ratio step by step with two invented companies, so you can judge whether a high ratio is a warning or just growth.

Explains railway mania in about 300 words and draws three lessons for AI, flagging every date and figure you should verify yourself.

Explains how countries compete in AI in 350 words from several viewpoints, with no stated figures, and names what the debate usually leaves out.

Explains what people mean by an AI bubble in about 250 words, with a neutral example and the three questions that separate hype from a bubble.

Explains the chain from AI apps to chip orders in 350 words and names the three signs that would show demand is cooling, without citing any figures.

Explains in 300 words why an AI company can lose money for years and still be valuable, and when that story stops being believable.

Sets up a patient investing coach for beginners who explains concepts and asks reflection questions, one idea per turn, without recommending any product.

Traces in five steps how a burst in AI valuations could spread through companies, lenders and workers, labeling each link as likely, possible or unclear.