Tracking the slogans, buzzwords and predictions the AI field tells itself — and how fast they rise, peak, and die.
November 2026
72
AI Hype Index
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Rising
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Cooling
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New this month
What changed · November 2026: Hype Index 69→72 — the claims got bigger, and so did the bill. The state renamed the era: an executive order inaugurated “the Era of Super Intelligence”, absorbing September’s AGI era, and on 17 October an Anthropic co-founder told an IMF audience that the singularity has begun. The money argument won the month: Meta, Alphabet and Amazon reported negative free cash flow, the Nasdaq closed October at a near three-month low, neocloud became the word for the bust and circular financing went from pundit vocabulary to an S-1 risk factor. Security got a month name, Black October, and rogue agents held at the ceiling. The naming treadmill stalled on the harness — no new engineering rung found a second source — and the renaming went elsewhere: Anthropic’s S-1 calls agents Virtual Collaborators, its academy calls FDEs Frontier Deployed Engineers, and System One models became decision models. The loop’s real successor is autoresearch: the loop, pointed at research. New (10): Black October, Virtual Collaborators, Decision models, Autoresearch, AI agent identity, Disposable applications, The singularity has begun, Distillation attacks, AI psychosis, Compaction. Risers: Slopaganda (the US midterms), AI capex bubble, Circular financing, Neocloud, The harness, Forward deployed engineer. Coolers: Pace the frontier and AGI era, trigger to trough in one edition; Skill engineering and Continual learning slide into the trough; Graph engineering, Workslop, Recursive self-improvement, Super Intelligence. Corrections: AI 2027’s authors never “retired” it — in August they moved their automated-coder median earlier, to November 2027; Brockman said “we are now in the AGI era”, not “welcome to the AGI era”; “the phrase belongs to explainers”, our test-time compute line, was falsified by Meta on 12 October; agent washing dates from Gartner in June 2025 and rogue agents from March, not May and July; and the Stop Rogue AI Act asks NIST for an agent inventory — Congress mandates nothing. A source audit also found fourteen cards whose quote was paraphrased, spliced, unsourced or not on the page we linked; each is fixed and noted on its card.
Panel 01
The Hype Cycle
Every tracked term plotted on the classic curve — from innovation trigger, over the peak of inflated expectations, down into the trough of disillusionment, up the slope of enlightenment, onto the plateau of productivity. Hover any dot.
Panel 02
The Prediction Ledger
The rolling "year of X" calls — and a verdict once reality is in. Accountability is the point.
Panel 03
The Lexicon
Filter by category. Each term carries its stage, momentum, a representative quote, and a link to its primary source.
Panel 04
The Graveyard
Buzzwords that have cooled, been superseded, or quietly retired. Today's slogan is tomorrow's epitaph.
Method
How this is built
Three layers, kept separate:
Measured. Which terms appear, when each was first seen, and who said it: every card quotes a named author and links to the primary source.
Estimated. The monthly intensity behind each sparkline: a 0–99 mention-intensity estimate from public AI writing, podcasts, papers and curated X lists. It shows direction and relative weight, not exact counts.
Editorial judgement. Each term’s stage on the hype cycle, its status (rising, cooling, stable, contested), and the AI Hype Index itself: a 0–100 reading of how inflated the AI discourse is this month, set by Fred Pelard from that month’s evidence, with the reason stated in the What-changed banner. Rising counter-vocabulary counts too. When a previous edition got something wrong, the correction is printed.