Jensen Huang

Business · Tech leadersPersonMachine-attributed text for 5 of the last 6Updated Oct 25, 2026, 00:28 UTC

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As of Oct 25, 2026, Kalshi and Polymarket have settled 144 word markets on Jensen Huang’s appearances since 2025, on 80 different words; most reliably said: “Humanoid” (3 of 5).

History Wall

1–40 of 82, most settled first · page 1 of 2

Jensen Huang: every word with settled markets, most settled first

Word	Oct 29 ’25keynote	Jan 5 ’26keynote	Jan 22keynote	Mar 16keynote	May 10keynote	Sep 20latest	Last 6	Settled	Probability
Trump	3 times: Trump, Oct 29 ’25 keynote, counts as said	0 times: Trump, Jan 5 ’26 keynote	0 times: Trump, Jan 22 keynote	0 times: Trump, Mar 16 keynote	0 times: Trump, May 10 keynote	NSettled no: Trump, Sep 20 interview	1/617%	1/617%	12%n=6 from settlement history
Humanoid	1 time: Humanoid, Oct 29 ’25 keynote, counts as said	3 times: Humanoid, Jan 5 ’26 keynote, counts as said	0 times: Humanoid, Jan 22 keynote	3 times: Humanoid, Mar 16 keynote, counts as said	–Not listed: Humanoid, May 10 keynote	NSettled no: Humanoid, Sep 20 interview	3/560%	3/560%	25%n=5 from settlement history
Quantum	36 times: Quantum, Oct 29 ’25 keynote, counts as said	0 times: Quantum, Jan 5 ’26 keynote	1 time: Quantum, Jan 22 keynote, counts as said	4 times: Quantum, Mar 16 keynote, counts as said	–Not listed: Quantum, May 10 keynote	NSettled no: Quantum, Sep 20 interview	3/560%	3/560%	26%n=5 from settlement history
Elon / Musk	1 time: Elon / Musk, Oct 29 ’25 keynote, counts as said	1 time: Elon / Musk, Jan 5 ’26 keynote, counts as said	0 times: Elon / Musk, Jan 22 keynote	0 times: Elon / Musk, Mar 16 keynote	0 times: Elon / Musk, May 10 keynote	–Not listed: Elon / Musk, Sep 20 interview	2/540%	2/540%	29%n=5 from settlement history
Hyperscaler	0 times: Hyperscaler, Oct 29 ’25 keynote	0 times: Hyperscaler, Jan 5 ’26 keynote	0 times: Hyperscaler, Jan 22 keynote	3 times: Hyperscaler, Mar 16 keynote, counts as said	–Not listed: Hyperscaler, May 10 keynote	NSettled no: Hyperscaler, Sep 20 interview	1/520%	1/520%	18%n=5 from settlement history
Open Source	12 times: Open Source, Oct 29 ’25 keynote, counts as said	6 times: Open Source, Jan 5 ’26 keynote, counts as said	–Not listed: Open Source, Jan 22 keynote	10 times: Open Source, Mar 16 keynote, counts as said	0 times: Open Source, May 10 keynote	–Not listed: Open Source, Sep 20 interview	3/475%	3/475%	56%n=4 from settlement history
Self Driving	2 times: Self Driving, Oct 29 ’25 keynote, counts as said	4 times: Self Driving, Jan 5 ’26 keynote, counts as said	0 times: Self Driving, Jan 22 keynote	4 times: Self Driving, Mar 16 keynote, counts as said	–Not listed: Self Driving, May 10 keynote	–Not listed: Self Driving, Sep 20 interview	3/475%	3/475%	65%n=4 from settlement history
Trillion	–Not listed: Trillion, Oct 29 ’25 keynote	–Not listed: Trillion, Jan 5 ’26 keynote	1 time: Trillion, Jan 22 keynote, counts as said	10 times: Trillion, Mar 16 keynote, counts as said	1 time: Trillion, May 10 keynote, counts as said	NSettled no: Trillion, Sep 20 interview	3/475%	3/475%	29%n=4 from settlement history
Domesticnever said	0 times: Domestic, Oct 29 ’25 keynote	0 times: Domestic, Jan 5 ’26 keynote	0 times: Domestic, Jan 22 keynote	0 times: Domestic, Mar 16 keynote	–Not listed: Domestic, May 10 keynote	–Not listed: Domestic, Sep 20 interview	0/40%	0/40%	12%n=4 from settlement history
Blackwell	23 times: Blackwell, Oct 29 ’25 keynote, counts as said	7 times: Blackwell, Jan 5 ’26 keynote, counts as said	–Not listed: Blackwell, Jan 22 keynote	13 times: Blackwell, Mar 16 keynote, counts as said	–Not listed: Blackwell, May 10 keynote	–Not listed: Blackwell, Sep 20 interview	3/3100%	3/3100%	83%n=3 from settlement history
Data Center	–Not listed: Data Center, Oct 29 ’25 keynote	–Not listed: Data Center, Jan 5 ’26 keynote	–Not listed: Data Center, Jan 22 keynote	22 times: Data Center, Mar 16 keynote, counts as said	1 time: Data Center, May 10 keynote, counts as said	NSettled no: Data Center, Sep 20 interview	2/367%	2/367%	26%n=3 from settlement history
Rubin	13 times: Rubin, Oct 29 ’25 keynote, counts as said	30 times: Rubin, Jan 5 ’26 keynote, counts as said	0 times: Rubin, Jan 22 keynote	–Not listed: Rubin, Mar 16 keynote	–Not listed: Rubin, May 10 keynote	–Not listed: Rubin, Sep 20 interview	2/367%	2/367%	53%n=3 from settlement history
Stargate	0 times: Stargate, Oct 29 ’25 keynote	0 times: Stargate, Jan 5 ’26 keynote	–Not listed: Stargate, Jan 22 keynote	0 times: Stargate, Mar 16 keynote	–Not listed: Stargate, May 10 keynote	–Not listed: Stargate, Sep 20 interview	0/30%	0/30%	15%n=3 from settlement history
Taiwan	0 times: Taiwan, Oct 29 ’25 keynote	0 times: Taiwan, Jan 5 ’26 keynote	0 times: Taiwan, Jan 22 keynote	–Not listed: Taiwan, Mar 16 keynote	–Not listed: Taiwan, May 10 keynote	–Not listed: Taiwan, Sep 20 interview	0/30%	0/30%	15%n=3 from settlement history
AI / Artificial Intelligence10+ times	–Not listed: AI / Artificial Intelligence 10+ times, Oct 29 ’25 keynote	146 times: AI / Artificial Intelligence 10+ times, Jan 5 ’26 keynote, counts as said	–Not listed: AI / Artificial Intelligence 10+ times, Jan 22 keynote	178 times: AI / Artificial Intelligence 10+ times, Mar 16 keynote, counts as said	–Not listed: AI / Artificial Intelligence 10+ times, May 10 keynote	–Not listed: AI / Artificial Intelligence 10+ times, Sep 20 interview	2/2100%	2/2100%	84%n=2 from settlement history
TSMC	2 times: TSMC, Oct 29 ’25 keynote, counts as said	1 time: TSMC, Jan 5 ’26 keynote, counts as said	–Not listed: TSMC, Jan 22 keynote	–Not listed: TSMC, Mar 16 keynote	–Not listed: TSMC, May 10 keynote	–Not listed: TSMC, Sep 20 interview	2/2100%	2/2100%	78%n=2 from settlement history
500 Billion	1 time: 500 Billion, Oct 29 ’25 keynote, counts as said	0 times: 500 Billion, Jan 5 ’26 keynote	–Not listed: 500 Billion, Jan 22 keynote	–Not listed: 500 Billion, Mar 16 keynote	–Not listed: 500 Billion, May 10 keynote	–Not listed: 500 Billion, Sep 20 interview	1/250%	1/250%	44%n=2 from settlement history
Arizona	3 times: Arizona, Oct 29 ’25 keynote, counts as said	0 times: Arizona, Jan 5 ’26 keynote	–Not listed: Arizona, Jan 22 keynote	–Not listed: Arizona, Mar 16 keynote	–Not listed: Arizona, May 10 keynote	–Not listed: Arizona, Sep 20 interview	1/250%	1/250%	44%n=2 from settlement history
Bubble	–Not listed: Bubble, Oct 29 ’25 keynote	0 times: Bubble, Jan 5 ’26 keynote	2 times: Bubble, Jan 22 keynote, counts as said	–Not listed: Bubble, Mar 16 keynote	–Not listed: Bubble, May 10 keynote	–Not listed: Bubble, Sep 20 interview	1/250%	1/250%	65%n=2 from settlement history
China / Chinese	–Not listed: China / Chinese, Oct 29 ’25 keynote	–Not listed: China / Chinese, Jan 5 ’26 keynote	–Not listed: China / Chinese, Jan 22 keynote	–Not listed: China / Chinese, Mar 16 keynote	0 times: China / Chinese, May 10 keynote	YSettled yes: China / Chinese, Sep 20 interview	1/250%	1/250%	65%n=2 from settlement history
Robot / Robotic / Robotics	–Not listed: Robot / Robotic / Robotics, Oct 29 ’25 keynote	–Not listed: Robot / Robotic / Robotics, Jan 5 ’26 keynote	–Not listed: Robot / Robotic / Robotics, Jan 22 keynote	–Not listed: Robot / Robotic / Robotics, Mar 16 keynote	4 times: Robot / Robotic / Robotics, May 10 keynote, counts as said	NSettled no: Robot / Robotic / Robotics, Sep 20 interview	1/250%	1/250%	22%n=2 from settlement history
Capital	0 times: Capital, Oct 29 ’25 keynote	0 times: Capital, Jan 5 ’26 keynote	–Not listed: Capital, Jan 22 keynote	–Not listed: Capital, Mar 16 keynote	–Not listed: Capital, May 10 keynote	–Not listed: Capital, Sep 20 interview	0/20%	0/20%	20%n=2 from settlement history
GM / General Motors	0 times: GM / General Motors, Oct 29 ’25 keynote	0 times: GM / General Motors, Jan 5 ’26 keynote	–Not listed: GM / General Motors, Jan 22 keynote	–Not listed: GM / General Motors, Mar 16 keynote	–Not listed: GM / General Motors, May 10 keynote	–Not listed: GM / General Motors, Sep 20 interview	0/20%	0/20%	20%n=2 from settlement history
RTX 50	0 times: RTX 50, Oct 29 ’25 keynote	0 times: RTX 50, Jan 5 ’26 keynote	–Not listed: RTX 50, Jan 22 keynote	–Not listed: RTX 50, Mar 16 keynote	–Not listed: RTX 50, May 10 keynote	–Not listed: RTX 50, Sep 20 interview	0/20%	0/20%	20%n=2 from settlement history
Supersonic	0 times: Supersonic, Oct 29 ’25 keynote	0 times: Supersonic, Jan 5 ’26 keynote	–Not listed: Supersonic, Jan 22 keynote	–Not listed: Supersonic, Mar 16 keynote	–Not listed: Supersonic, May 10 keynote	–Not listed: Supersonic, Sep 20 interview	0/20%	0/20%	20%n=2 from settlement history
VR / Virtual Reality	0 times: VR / Virtual Reality, Oct 29 ’25 keynote	0 times: VR / Virtual Reality, Jan 5 ’26 keynote	–Not listed: VR / Virtual Reality, Jan 22 keynote	–Not listed: VR / Virtual Reality, Mar 16 keynote	–Not listed: VR / Virtual Reality, May 10 keynote	–Not listed: VR / Virtual Reality, Sep 20 interview	0/20%	0/20%	20%n=2 from settlement history
Agent / Agentic	–Not listed: Agent / Agentic, Oct 29 ’25 keynote	–Not listed: Agent / Agentic, Jan 5 ’26 keynote	–Not listed: Agent / Agentic, Jan 22 keynote	37 times: Agent / Agentic, Mar 16 keynote, counts as said	–Not listed: Agent / Agentic, May 10 keynote	–Not listed: Agent / Agentic, Sep 20 interview	1/1100%	1/1100%	–n=1 too little history for a probability
Alpamayo	–Not listed: Alpamayo, Oct 29 ’25 keynote	–Not listed: Alpamayo, Jan 5 ’26 keynote	–Not listed: Alpamayo, Jan 22 keynote	3 times: Alpamayo, Mar 16 keynote, counts as said	–Not listed: Alpamayo, May 10 keynote	–Not listed: Alpamayo, Sep 20 interview	1/1100%	1/1100%	–n=1 too little history for a probability
Anthropic	–Not listed: Anthropic, Oct 29 ’25 keynote	–Not listed: Anthropic, Jan 5 ’26 keynote	–Not listed: Anthropic, Jan 22 keynote	5 times: Anthropic, Mar 16 keynote, counts as said	–Not listed: Anthropic, May 10 keynote	–Not listed: Anthropic, Sep 20 interview	1/1100%	1/1100%	–n=1 too little history for a probability
Autonomous	–Not listed: Autonomous, Oct 29 ’25 keynote	–Not listed: Autonomous, Jan 5 ’26 keynote	–Not listed: Autonomous, Jan 22 keynote	5 times: Autonomous, Mar 16 keynote, counts as said	–Not listed: Autonomous, May 10 keynote	–Not listed: Autonomous, Sep 20 interview	1/1100%	1/1100%	–n=1 too little history for a probability
Million / Billion3+ times	–Not listed: Million / Billion 3+ times, Oct 29 ’25 keynote	–Not listed: Million / Billion 3+ times, Jan 5 ’26 keynote	–Not listed: Million / Billion 3+ times, Jan 22 keynote	29 times: Million / Billion 3+ times, Mar 16 keynote, counts as said	–Not listed: Million / Billion 3+ times, May 10 keynote	–Not listed: Million / Billion 3+ times, Sep 20 interview	1/1100%	1/1100%	–n=1 too little history for a probability
Grok / ChatGPT	–Not listed: Grok / ChatGPT, Oct 29 ’25 keynote	–Not listed: Grok / ChatGPT, Jan 5 ’26 keynote	1 time: Grok / ChatGPT, Jan 22 keynote, counts as said	–Not listed: Grok / ChatGPT, Mar 16 keynote	–Not listed: Grok / ChatGPT, May 10 keynote	–Not listed: Grok / ChatGPT, Sep 20 interview	1/1100%	1/1100%	–n=1 too little history for a probability
Cosmos	–Not listed: Cosmos, Oct 29 ’25 keynote	–Not listed: Cosmos, Jan 5 ’26 keynote	–Not listed: Cosmos, Jan 22 keynote	7 times: Cosmos, Mar 16 keynote, counts as said	–Not listed: Cosmos, May 10 keynote	–Not listed: Cosmos, Sep 20 interview	1/1100%	1/1100%	–n=1 too little history for a probability
Deep Learning	–Not listed: Deep Learning, Oct 29 ’25 keynote	–Not listed: Deep Learning, Jan 5 ’26 keynote	–Not listed: Deep Learning, Jan 22 keynote	7 times: Deep Learning, Mar 16 keynote, counts as said	–Not listed: Deep Learning, May 10 keynote	–Not listed: Deep Learning, Sep 20 interview	1/1100%	1/1100%	–n=1 too little history for a probability
Dynamo	–Not listed: Dynamo, Oct 29 ’25 keynote	–Not listed: Dynamo, Jan 5 ’26 keynote	–Not listed: Dynamo, Jan 22 keynote	3 times: Dynamo, Mar 16 keynote, counts as said	–Not listed: Dynamo, May 10 keynote	–Not listed: Dynamo, Sep 20 interview	1/1100%	1/1100%	–n=1 too little history for a probability
Google	–Not listed: Google, Oct 29 ’25 keynote	–Not listed: Google, Jan 5 ’26 keynote	–Not listed: Google, Jan 22 keynote	10 times: Google, Mar 16 keynote, counts as said	–Not listed: Google, May 10 keynote	–Not listed: Google, Sep 20 interview	1/1100%	1/1100%	–n=1 too little history for a probability
GPU5+ times	–Not listed: GPU 5+ times, Oct 29 ’25 keynote	–Not listed: GPU 5+ times, Jan 5 ’26 keynote	–Not listed: GPU 5+ times, Jan 22 keynote	24 times: GPU 5+ times, Mar 16 keynote, counts as said	–Not listed: GPU 5+ times, May 10 keynote	–Not listed: GPU 5+ times, Sep 20 interview	1/1100%	1/1100%	–n=1 too little history for a probability
Grok	–Not listed: Grok, Oct 29 ’25 keynote	2 times: Grok, Jan 5 ’26 keynote, counts as said	–Not listed: Grok, Jan 22 keynote	–Not listed: Grok, Mar 16 keynote	–Not listed: Grok, May 10 keynote	–Not listed: Grok, Sep 20 interview	1/1100%	1/1100%	–n=1 too little history for a probability
Groq / Grok	–Not listed: Groq / Grok, Oct 29 ’25 keynote	–Not listed: Groq / Grok, Jan 5 ’26 keynote	–Not listed: Groq / Grok, Jan 22 keynote	22 times: Groq / Grok, Mar 16 keynote, counts as said	–Not listed: Groq / Grok, May 10 keynote	–Not listed: Groq / Grok, Sep 20 interview	1/1100%	1/1100%	–n=1 too little history for a probability
Happy New Year	–Not listed: Happy New Year, Oct 29 ’25 keynote	1 time: Happy New Year, Jan 5 ’26 keynote, counts as said	–Not listed: Happy New Year, Jan 22 keynote	–Not listed: Happy New Year, Mar 16 keynote	–Not listed: Happy New Year, May 10 keynote	–Not listed: Happy New Year, Sep 20 interview	1/1100%	1/1100%	–n=1 too little history for a probability

• Y: settled yes (a number: our count)
• N: settled no
• not listed
• probability next time, with n
• Select a word or a cell for its quotes

What the columns mean

Last N

of the appearances shown, how many counted as said

Settled

every settled market of the word: said / listed

Probability

the calibrated probability for the next listing; n is the settled observations behind it when it was computed, '+tx' adds the transcripts, 'new' means too little history

More words (42 left)

Citeparrot.markets, “Jensen Huang: mention market word history”, as of Oct 25, 2026, https://parrot.markets/business/jensen-huang (CC BY 4.0)

Agents: this page as TSV at /api/v1/entity/jensen-huang · words: /api/v1/history?entity=jensen-huang · columnar JSON in #parrot-data · llms.txt · MCP