Jensen Huang: Keynote, Jan 22, 2026
At the keynote on Jan 22, 2026, Jensen Huang said 5 of the 14 words Kalshi listed; Parrot’s count agreed with all 14 settlements. Quotes below are at most 25 words each.
Part of Wef conversation (2 appearances).
UpdatedMarkets
14 words · 5 settled yes · our count agreed on 14 of 14- Kalshi: named speaker only
Kalshi
backtest The probabilities on settled rows are a walk-forward backtest: the model as of before each event, computed after Parrot went live; they were not published at the time.
| Word | Result | Our count | All speakers | Agrees | Probability | Market |
|---|---|---|---|---|---|---|
| Investment / Invested | Yes | 10 | 11 | ✓ | –new new word, no probability yet | – |
| Bubble | Yes | 2 | 4 | ✓ | –n=1 too little history for a probability | – |
| Grok / ChatGPT | Yes | 1 | 1 | ✓ | –n=1 too little history for a probability | – |
| Trillion | Yes | 1 | 1 | ✓ | –new new word, no probability yet | – |
| Quantum | Yes | 1 | 1 | ✓ | 41%n=2 from settlement history | – |
| Elon / Musk | No | 0 | 0 | ✓ | 86%n=3 from settlement history | – |
| Humanoid | No | 0 | 0 | ✓ | 84%n=2 from settlement history | – |
| Rubin | No | 0 | 0 | ✓ | 84%n=2 from settlement history | – |
| Self Driving | No | 0 | 0 | ✓ | 84%n=2 from settlement history | – |
| China | No | 0 | 0 | ✓ | –new new word, no probability yet | – |
| Trump | No | 0 | 0 | ✓ | 41%n=2 from settlement history | – |
| Domestic | No | 0 | 0 | ✓ | 12%n=2 from settlement history | – |
| Hyperscaler | No | 0 | 1 | ✓ | 12%n=2 from settlement history | – |
| Taiwan | No | 0 | 0 | ✓ | 10%n=3 from settlement history | – |
Market prices are mid quotes from Kalshi and Polymarket, shown for context, may be delayed by several minutes and are not a signal. Quotes as of Oct 20, 2026 23:45 UTC.
Transcript
quotes of at most 25 wordsCaptions · machine-attributed · World Economic Forum (YouTube) · Source · Quotes of at most 25 words; the full recording is on the publisher's official channel.
1 match for “Anthropic / Claude”; 1 quoted, at least 25 words apart.
…these different ways. Chad GPT of course using Gemini of course using anthropic claude of course um and the magical things that that it could…
Where the listed words were said
…services, all of the large industries in the world. You're seeing huge investments going in to those AI natives because for the first time, the…
and so one good test on the AI bubble is to recognize that Nvidia has now has now millions of NVIDIA GPUs in the cloud…
…application but very importantly new applications will be built on top of chat GPT new applications will be built on top of anthropic uh claude…
…we get the opportunity to work on many projects together. There are trillions of dollars of infrastructure that needs to be built out and it's…
…natural n physics of physics, for example, fluid dynamics, particle physics, uh, quantum physics, AIs that are now now learning all these different structures and…
Agents: this page as TSV at /api/v1/appearances/jensen-huang:2026-01-22:keynote · words: /api/v1/brief?appearance=jensen-huang:2026-01-22:keynote · columnar JSON in #parrot-data · llms.txt · MCP