NVIDIA (NVDA)

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As of Oct 23, 2026, Kalshi and Polymarket have settled 244 word markets on NVIDIA’s earnings calls and other events since 2025, on 101 different words; most reliably said: “Omniverse” (6 of 8). Next call: Nov 18, 2026 (19 words listed).

“Hyperscaler” on the Aug 26 call · 2:35 · said 12 times. Play the clip

Next: Earnings call ·

19 words listed · Occasion page

Who counts: Kalshi: company speakers + operator

Kalshi

NVIDIA: the words listed for Wed, Nov 18, how often each was said on past occasions, and the probability for this one
WordQ3’25Nov '24Q4’25Feb '25Q1’26May '25Q2’26Aug '25Q3’26year agoQ4’26Feb '26Q1’27May '26Q2’27last callTrendLast 8ScriptedAll-timeProbabilityMarket
Hyperscaler0 times: Hyperscaler, Q3’25 Nov '240 times: Hyperscaler, Q4’25 Feb '251 time: Hyperscaler, Q1’26 May '25, counts as said4 times: Hyperscaler, Q2’26 Aug '25, counts as said9 times: Hyperscaler, Q3’26 Nov '25, counts as said6 times: Hyperscaler, Q4’26 Feb '26, counts as said8 times: Hyperscaler, Q1’27 May '26, counts as said12 times: Hyperscaler, Q2’27 Aug '26, counts as saidrising6/875%5/862%25/8230%88%n=6+tx from settlement history blended with transcripts90¢ Kalshi
Rubin3+ times0 times: Rubin (3+ times), Q3’25 Nov '243 times: Rubin (3+ times), Q4’25 Feb '25, counts as said0 times: Rubin (3+ times), Q1’26 May '2511 times: Rubin (3+ times), Q2’26 Aug '25, counts as said8 times: Rubin (3+ times), Q3’26 Nov '25, counts as said14 times: Rubin (3+ times), Q4’26 Feb '26, counts as said16 times: Rubin (3+ times), Q1’27 May '26, counts as said15 times: Rubin (3+ times), Q2’27 Aug '26, counts as saidrising6/875%5/862%6/827%80%transcripts from the transcript model91¢ Kalshi
Omniverse8 times: Omniverse, Q3’25 Nov '24, counts as said0 times: Omniverse, Q4’25 Feb '257 times: Omniverse, Q1’26 May '25, counts as said2 times: Omniverse, Q2’26 Aug '25, counts as said4 times: Omniverse, Q3’26 Nov '25, counts as said1 time: Omniverse, Q4’26 Feb '26, counts as said0 times: Omniverse, Q1’27 May '261 time: Omniverse, Q2’27 Aug '26, counts as saidfalling6/875%6/875%22/8227%70%n=8+tx from settlement history blended with transcripts73¢ Kalshi
Gaming9 times: Gaming, Q3’25 Nov '24, counts as said3 times: Gaming, Q4’25 Feb '25, counts as said6 times: Gaming, Q1’26 May '25, counts as said2 times: Gaming, Q2’26 Aug '25, counts as said2 times: Gaming, Q3’26 Nov '25, counts as said4 times: Gaming, Q4’26 Feb '26, counts as said1 time: Gaming, Q1’27 May '26, counts as said0 times: Gaming, Q2’27 Aug '26falling7/888%7/888%74/8290%61%n=7+tx from settlement history blended with transcripts57¢ Kalshi
Rent / Renting0 times: Rent / Renting, Q3’25 Nov '240 times: Rent / Renting, Q4’25 Feb '250 times: Rent / Renting, Q1’26 May '251 time: Rent / Renting, Q2’26 Aug '25, counts as said0 times: Rent / Renting, Q3’26 Nov '250 times: Rent / Renting, Q4’26 Feb '264 times: Rent / Renting, Q1’27 May '26, counts as said3 times: Rent / Renting, Q2’27 Aug '26, counts as saidrising3/838%1/812%8/8210%61%transcripts from the transcript model70¢ Kalshi
Cosmos0 times: Cosmos, Q3’25 Nov '242 times: Cosmos, Q4’25 Feb '25, counts as said2 times: Cosmos, Q1’26 May '25, counts as said1 time: Cosmos, Q2’26 Aug '25, counts as said1 time: Cosmos, Q3’26 Nov '25, counts as said1 time: Cosmos, Q4’26 Feb '26, counts as said0 times: Cosmos, Q1’27 May '261 time: Cosmos, Q2’27 Aug '26, counts as saidfalling6/875%6/875%6/827%60%n=7+tx from settlement history blended with transcripts74¢ Kalshi
Self Driving1 time: Self Driving, Q3’25 Nov '24, counts as said0 times: Self Driving, Q4’25 Feb '251 time: Self Driving, Q1’26 May '25, counts as said1 time: Self Driving, Q2’26 Aug '25, counts as said1 time: Self Driving, Q3’26 Nov '25, counts as said3 times: Self Driving, Q4’26 Feb '26, counts as said2 times: Self Driving, Q1’27 May '26, counts as said0 times: Self Driving, Q2’27 Aug '26rising6/875%5/862%38/8246%60%n=4+tx from settlement history blended with transcripts40¢ Kalshi
TSMC1 time: TSMC, Q3’25 Nov '24, counts as said0 times: TSMC, Q4’25 Feb '253 times: TSMC, Q1’26 May '25, counts as said1 time: TSMC, Q2’26 Aug '25, counts as said3 times: TSMC, Q3’26 Nov '25, counts as said0 times: TSMC, Q4’26 Feb '260 times: TSMC, Q1’27 May '260 times: TSMC, Q2’27 Aug '26falling4/850%2/825%29/8235%44%n=6+tx from settlement history blended with transcripts25¢ Kalshi
Isaac0 times: Isaac, Q3’25 Nov '240 times: Isaac, Q4’25 Feb '254 times: Isaac, Q1’26 May '25, counts as said0 times: Isaac, Q2’26 Aug '250 times: Isaac, Q3’26 Nov '251 time: Isaac, Q4’26 Feb '26, counts as said0 times: Isaac, Q1’27 May '261 time: Isaac, Q2’27 Aug '26, counts as saidsteady3/838%3/838%6/827%43%transcripts from the transcript model45¢ Kalshi
DSX0 times: DSX, Q3’25 Nov '240 times: DSX, Q4’25 Feb '250 times: DSX, Q1’26 May '250 times: DSX, Q2’26 Aug '250 times: DSX, Q3’26 Nov '250 times: DSX, Q4’26 Feb '260 times: DSX, Q1’27 May '262 times: DSX, Q2’27 Aug '26, counts as saidrising1/812%1/812%1/821%37%transcripts from the transcript model74¢ Kalshi
Taiwan0 times: Taiwan, Q3’25 Nov '240 times: Taiwan, Q4’25 Feb '253 times: Taiwan, Q1’26 May '25, counts as said0 times: Taiwan, Q2’26 Aug '250 times: Taiwan, Q3’26 Nov '250 times: Taiwan, Q4’26 Feb '260 times: Taiwan, Q1’27 May '261 time: Taiwan, Q2’27 Aug '26, counts as saidsteady2/825%2/825%16/8220%33%n=5+tx from settlement history blended with transcripts45¢ Kalshi
Humanoid0 times: Humanoid, Q3’25 Nov '240 times: Humanoid, Q4’25 Feb '253 times: Humanoid, Q1’26 May '25, counts as said1 time: Humanoid, Q2’26 Aug '25, counts as said0 times: Humanoid, Q3’26 Nov '250 times: Humanoid, Q4’26 Feb '261 time: Humanoid, Q1’27 May '26, counts as said0 times: Humanoid, Q2’27 Aug '26steady3/838%3/838%5/826%29%n=6+tx from settlement history blended with transcripts38¢ Kalshi
Dividend2+ times1 time: Dividend (2+ times), Q3’25 Nov '24, below the threshold1 time: Dividend (2+ times), Q4’25 Feb '25, below the threshold1 time: Dividend (2+ times), Q1’26 May '25, below the threshold1 time: Dividend (2+ times), Q2’26 Aug '25, below the threshold0 times: Dividend (2+ times), Q3’26 Nov '252 times: Dividend (2+ times), Q4’26 Feb '26, counts as said3 times: Dividend (2+ times), Q1’27 May '26, counts as said1 time: Dividend (2+ times), Q2’27 Aug '26, below the thresholdrising2/825%1/812%25/8230%26%n=1+tx from settlement history blended with transcripts38¢ Kalshi
Hermes0 times: Hermes, Q3’25 Nov '240 times: Hermes, Q4’25 Feb '250 times: Hermes, Q1’26 May '250 times: Hermes, Q2’26 Aug '250 times: Hermes, Q3’26 Nov '250 times: Hermes, Q4’26 Feb '261 time: Hermes, Q1’27 May '26, counts as said0 times: Hermes, Q2’27 Aug '26steady1/812%0/80%1/821%24%n=3+tx from settlement history blended with transcripts8¢ Kalshi
H200 times: H20, Q3’25 Nov '240 times: H20, Q4’25 Feb '2513 times: H20, Q1’26 May '25, counts as said11 times: H20, Q2’26 Aug '25, counts as said1 time: H20, Q3’26 Nov '25, counts as said0 times: H20, Q4’26 Feb '260 times: H20, Q1’27 May '260 times: H20, Q2’27 Aug '26falling3/838%3/838%4/825%22%n=5+tx from settlement history blended with transcripts6¢ Kalshi
Automation0 times: Automation, Q3’25 Nov '240 times: Automation, Q4’25 Feb '250 times: Automation, Q1’26 May '251 time: Automation, Q2’26 Aug '25, counts as said1 time: Automation, Q3’26 Nov '25, counts as said0 times: Automation, Q4’26 Feb '260 times: Automation, Q1’27 May '260 times: Automation, Q2’27 Aug '26steady2/825%1/812%14/8217%21%n=4+tx from settlement history blended with transcripts20¢ Kalshi
Tariff0 times: Tariff, Q3’25 Nov '242 times: Tariff, Q4’25 Feb '25, counts as said1 time: Tariff, Q1’26 May '25, counts as said0 times: Tariff, Q2’26 Aug '250 times: Tariff, Q3’26 Nov '250 times: Tariff, Q4’26 Feb '260 times: Tariff, Q1’27 May '260 times: Tariff, Q2’27 Aug '26falling2/825%1/812%3/824%13%n=6+tx from settlement history blended with transcripts9¢ Kalshi
Trump0 times: Trump, Q3’25 Nov '240 times: Trump, Q4’25 Feb '254 times: Trump, Q1’26 May '25, counts as said0 times: Trump, Q2’26 Aug '250 times: Trump, Q3’26 Nov '250 times: Trump, Q4’26 Feb '260 times: Trump, Q1’27 May '260 times: Trump, Q2’27 Aug '26falling1/812%1/812%1/821%12%n=5+tx from settlement history blended with transcripts10¢ Kalshi
Domestic0 times: Domestic, Q3’25 Nov '240 times: Domestic, Q4’25 Feb '250 times: Domestic, Q1’26 May '251 time: Domestic, Q2’26 Aug '25, counts as said0 times: Domestic, Q3’26 Nov '250 times: Domestic, Q4’26 Feb '260 times: Domestic, Q1’27 May '260 times: Domestic, Q2’27 Aug '26steady1/812%1/812%7/829%12%n=5+tx from settlement history blended with transcripts14¢ Kalshi
  • times said on that call
  • counted as said (ring)
  • no call
  • 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
Trend
how the count moved over these calls
Scripted
calls of the last 8 where it was said in the prepared remarks
All-time
every call on file
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

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 15:46 UTC.

Every word

1–40 of 92, most settled first · page 1 of 2
NVIDIA: every word with settled markets, most settled first
WordQ3’25Nov '24Q4’25Feb '25Q1’26May '25Q2’26Aug '25Q3’26Nov '25Q4’26Feb '26Q1’27May '26Q2’27last callTrendLast 8ScriptedAll-timeProbability
Blackwell41 times: Blackwell, Q3’25 Nov '24, counts as said49 times: Blackwell, Q4’25 Feb '25, counts as said21 times: Blackwell, Q1’26 May '25, counts as said29 times: Blackwell, Q2’26 Aug '25, counts as said19 times: Blackwell, Q3’26 Nov '25, counts as said18 times: Blackwell, Q4’26 Feb '26, counts as said19 times: Blackwell, Q1’27 May '26, counts as said5 times: Blackwell, Q2’27 Aug '26, counts as saidfalling8/8100%8/8100%10/8212%86%n=4+tx from settlement history blended with transcripts
Talent0 times: Talent, Q3’25 Nov '240 times: Talent, Q4’25 Feb '251 time: Talent, Q1’26 May '25, counts as said1 time: Talent, Q2’26 Aug '25, counts as said0 times: Talent, Q3’26 Nov '251 time: Talent, Q4’26 Feb '26, counts as said0 times: Talent, Q1’27 May '260 times: Talent, Q2’27 Aug '26steady3/838%3/838%5/826%25%n=4+tx from settlement history blended with transcripts
Arizona0 times: Arizona, Q3’25 Nov '240 times: Arizona, Q4’25 Feb '252 times: Arizona, Q1’26 May '25, counts as said0 times: Arizona, Q2’26 Aug '250 times: Arizona, Q3’26 Nov '250 times: Arizona, Q4’26 Feb '260 times: Arizona, Q1’27 May '260 times: Arizona, Q2’27 Aug '26falling1/812%1/812%2/822%12%n=4+tx from settlement history blended with transcripts
GM / General Motors0 times: GM / General Motors, Q3’25 Nov '240 times: GM / General Motors, Q4’25 Feb '251 time: GM / General Motors, Q1’26 May '25, counts as said0 times: GM / General Motors, Q2’26 Aug '250 times: GM / General Motors, Q3’26 Nov '250 times: GM / General Motors, Q4’26 Feb '260 times: GM / General Motors, Q1’27 May '260 times: GM / General Motors, Q2’27 Aug '26steady1/812%1/812%4/825%12%n=4+tx from settlement history blended with transcripts
China7 times: China, Q3’25 Nov '24, counts as said5 times: China, Q4’25 Feb '25, counts as said27 times: China, Q1’26 May '25, counts as said15 times: China, Q2’26 Aug '25, counts as said5 times: China, Q3’26 Nov '25, counts as said6 times: China, Q4’26 Feb '26, counts as said3 times: China, Q1’27 May '26, counts as said2 times: China, Q2’27 Aug '26, counts as saidfalling8/8100%8/8100%61/8274%91%n=3+tx from settlement history blended with transcripts
Data Center34 times: Data Center, Q3’25 Nov '24, counts as said28 times: Data Center, Q4’25 Feb '25, counts as said12 times: Data Center, Q1’26 May '25, counts as said24 times: Data Center, Q2’26 Aug '25, counts as said16 times: Data Center, Q3’26 Nov '25, counts as said28 times: Data Center, Q4’26 Feb '26, counts as said22 times: Data Center, Q1’27 May '26, counts as said20 times: Data Center, Q2’27 Aug '26, counts as saidsteady8/8100%8/8100%61/8274%86%n=3+tx from settlement history blended with transcripts
Inference36 times: Inference, Q3’25 Nov '24, counts as said28 times: Inference, Q4’25 Feb '25, counts as said25 times: Inference, Q1’26 May '25, counts as said11 times: Inference, Q2’26 Aug '25, counts as said20 times: Inference, Q3’26 Nov '25, counts as said21 times: Inference, Q4’26 Feb '26, counts as said17 times: Inference, Q1’27 May '26, counts as said7 times: Inference, Q2’27 Aug '26, counts as saidfalling8/8100%8/8100%44/8254%96%n=3+tx from settlement history blended with transcripts
Open Source0 times: Open Source, Q3’25 Nov '240 times: Open Source, Q4’25 Feb '253 times: Open Source, Q1’26 May '25, counts as said8 times: Open Source, Q2’26 Aug '25, counts as said2 times: Open Source, Q3’26 Nov '25, counts as said3 times: Open Source, Q4’26 Feb '26, counts as said0 times: Open Source, Q1’27 May '260 times: Open Source, Q2’27 Aug '26steady4/850%3/838%17/8221%53%n=3+tx from settlement history blended with transcripts
VR / Virtual Reality0 times: VR / Virtual Reality, Q3’25 Nov '240 times: VR / Virtual Reality, Q4’25 Feb '250 times: VR / Virtual Reality, Q1’26 May '250 times: VR / Virtual Reality, Q2’26 Aug '250 times: VR / Virtual Reality, Q3’26 Nov '250 times: VR / Virtual Reality, Q4’26 Feb '260 times: VR / Virtual Reality, Q1’27 May '260 times: VR / Virtual Reality, Q2’27 Aug '26steady0/80%0/80%24/8229%10%n=3+tx from settlement history blended with transcripts
Anthropic1 time: Anthropic, Q3’25 Nov '24, counts as said0 times: Anthropic, Q4’25 Feb '250 times: Anthropic, Q1’26 May '250 times: Anthropic, Q2’26 Aug '2517 times: Anthropic, Q3’26 Nov '25, counts as said8 times: Anthropic, Q4’26 Feb '26, counts as said9 times: Anthropic, Q1’27 May '26, counts as said3 times: Anthropic, Q2’27 Aug '26, counts as saidrising5/862%5/862%7/829%92%n=2+tx from settlement history blended with transcripts
Anthropic / Claude1 time: Anthropic / Claude, Q3’25 Nov '24, counts as said0 times: Anthropic / Claude, Q4’25 Feb '250 times: Anthropic / Claude, Q1’26 May '250 times: Anthropic / Claude, Q2’26 Aug '2517 times: Anthropic / Claude, Q3’26 Nov '25, counts as said15 times: Anthropic / Claude, Q4’26 Feb '26, counts as said11 times: Anthropic / Claude, Q1’27 May '26, counts as said1 time: Anthropic / Claude, Q2’27 Aug '26, counts as saidrising5/862%5/862%7/829%85%n=2+tx from settlement history blended with transcripts
Self-driving / Autonomous2 times: Self-driving / Autonomous, Q3’25 Nov '24, counts as said3 times: Self-driving / Autonomous, Q4’25 Feb '25, counts as said2 times: Self-driving / Autonomous, Q1’26 May '25, counts as said2 times: Self-driving / Autonomous, Q2’26 Aug '25, counts as said3 times: Self-driving / Autonomous, Q3’26 Nov '25, counts as said4 times: Self-driving / Autonomous, Q4’26 Feb '26, counts as said4 times: Self-driving / Autonomous, Q1’27 May '26, counts as said1 time: Self-driving / Autonomous, Q2’27 Aug '26, counts as saidsteady8/8100%6/875%47/8257%85%n=2+tx from settlement history blended with transcripts
OpenAI / ChatGPT9 times: OpenAI / ChatGPT, Q3’25 Nov '24, counts as said3 times: OpenAI / ChatGPT, Q4’25 Feb '25, counts as said4 times: OpenAI / ChatGPT, Q1’26 May '25, counts as said4 times: OpenAI / ChatGPT, Q2’26 Aug '25, counts as said14 times: OpenAI / ChatGPT, Q3’26 Nov '25, counts as said11 times: OpenAI / ChatGPT, Q4’26 Feb '26, counts as said8 times: OpenAI / ChatGPT, Q1’27 May '26, counts as said5 times: OpenAI / ChatGPT, Q2’27 Aug '26, counts as saidsteady8/8100%8/8100%19/8223%85%n=2+tx from settlement history blended with transcripts
CUDA2 times: CUDA, Q3’25 Nov '24, counts as said2 times: CUDA, Q4’25 Feb '25, counts as said1 time: CUDA, Q1’26 May '25, counts as said5 times: CUDA, Q2’26 Aug '25, counts as said14 times: CUDA, Q3’26 Nov '25, counts as said11 times: CUDA, Q4’26 Feb '26, counts as said3 times: CUDA, Q1’27 May '26, counts as said4 times: CUDA, Q2’27 Aug '26, counts as saidrising8/8100%7/888%57/8270%93%n=2+tx from settlement history blended with transcripts
Enterprise14 times: Enterprise, Q3’25 Nov '24, counts as said16 times: Enterprise, Q4’25 Feb '25, counts as said18 times: Enterprise, Q1’26 May '25, counts as said15 times: Enterprise, Q2’26 Aug '25, counts as said11 times: Enterprise, Q3’26 Nov '25, counts as said9 times: Enterprise, Q4’26 Feb '26, counts as said12 times: Enterprise, Q1’27 May '26, counts as said10 times: Enterprise, Q2’27 Aug '26, counts as saidfalling8/8100%8/8100%67/8282%95%n=2+tx from settlement history blended with transcripts
Hopper24 times: Hopper, Q3’25 Nov '24, counts as said8 times: Hopper, Q4’25 Feb '25, counts as said9 times: Hopper, Q1’26 May '25, counts as said12 times: Hopper, Q2’26 Aug '25, counts as said6 times: Hopper, Q3’26 Nov '25, counts as said4 times: Hopper, Q4’26 Feb '26, counts as said0 times: Hopper, Q1’27 May '267 times: Hopper, Q2’27 Aug '26, counts as saidfalling7/888%7/888%17/8221%86%n=2+tx from settlement history blended with transcripts
H1002 times: H100, Q3’25 Nov '24, counts as said0 times: H100, Q4’25 Feb '251 time: H100, Q1’26 May '25, counts as said3 times: H100, Q2’26 Aug '25, counts as said0 times: H100, Q3’26 Nov '250 times: H100, Q4’26 Feb '261 time: H100, Q1’27 May '26, counts as said0 times: H100, Q2’27 Aug '26falling4/850%4/850%14/8217%34%n=2+tx from settlement history blended with transcripts
AMD0 times: AMD, Q3’25 Nov '240 times: AMD, Q4’25 Feb '250 times: AMD, Q1’26 May '250 times: AMD, Q2’26 Aug '250 times: AMD, Q3’26 Nov '250 times: AMD, Q4’26 Feb '260 times: AMD, Q1’27 May '260 times: AMD, Q2’27 Aug '26steady0/80%0/80%29/8235%12%n=2+tx from settlement history blended with transcripts
Automate / Automated / Automation1 time: Automate / Automated / Automation, Q3’25 Nov '24, counts as said0 times: Automate / Automated / Automation, Q4’25 Feb '250 times: Automate / Automated / Automation, Q1’26 May '251 time: Automate / Automated / Automation, Q2’26 Aug '25, counts as said1 time: Automate / Automated / Automation, Q3’26 Nov '25, counts as said0 times: Automate / Automated / Automation, Q4’26 Feb '260 times: Automate / Automated / Automation, Q1’27 May '260 times: Automate / Automated / Automation, Q2’27 Aug '26falling3/838%2/825%26/8232%16%n=2+tx from settlement history blended with transcripts
China / Chinese3 times: China / Chinese, Q3’25 Nov '24, counts as said4 times: China / Chinese, Q4’25 Feb '25, counts as said22 times: China / Chinese, Q1’26 May '25, counts as said13 times: China / Chinese, Q2’26 Aug '25, counts as said5 times: China / Chinese, Q3’26 Nov '25, counts as said6 times: China / Chinese, Q4’26 Feb '26, counts as said2 times: China / Chinese, Q1’27 May '26, counts as said2 times: China / Chinese, Q2’27 Aug '26, counts as saidfalling8/8100%8/8100%60/8273%16%n=2 from settlement history
Agent / Agentic10+ times9 times: Agent / Agentic 10+ times, Q3’25 Nov '24, below the threshold14 times: Agent / Agentic 10+ times, Q4’25 Feb '25, counts as said21 times: Agent / Agentic 10+ times, Q1’26 May '25, counts as said13 times: Agent / Agentic 10+ times, Q2’26 Aug '25, counts as said12 times: Agent / Agentic 10+ times, Q3’26 Nov '25, counts as said25 times: Agent / Agentic 10+ times, Q4’26 Feb '26, counts as said26 times: Agent / Agentic 10+ times, Q1’27 May '26, counts as said24 times: Agent / Agentic 10+ times, Q2’27 Aug '26, counts as saidrising7/888%0/80%8/8210%78%n=1+tx from settlement history blended with transcripts
AI20+ times111 times: AI 20+ times, Q3’25 Nov '24, counts as said111 times: AI 20+ times, Q4’25 Feb '25, counts as said131 times: AI 20+ times, Q1’26 May '25, counts as said105 times: AI 20+ times, Q2’26 Aug '25, counts as said96 times: AI 20+ times, Q3’26 Nov '25, counts as said71 times: AI 20+ times, Q4’26 Feb '26, counts as said104 times: AI 20+ times, Q1’27 May '26, counts as said73 times: AI 20+ times, Q2’27 Aug '26, counts as saidsteady8/8100%8/8100%37/8245%89%n=1+tx from settlement history blended with transcripts
AI30+ times111 times: AI 30+ times, Q3’25 Nov '24, counts as said111 times: AI 30+ times, Q4’25 Feb '25, counts as said131 times: AI 30+ times, Q1’26 May '25, counts as said105 times: AI 30+ times, Q2’26 Aug '25, counts as said96 times: AI 30+ times, Q3’26 Nov '25, counts as said71 times: AI 30+ times, Q4’26 Feb '26, counts as said104 times: AI 30+ times, Q1’27 May '26, counts as said73 times: AI 30+ times, Q2’27 Aug '26, counts as saidsteady8/8100%7/888%34/8241%85%n=1+tx from settlement history blended with transcripts
AI / Artificial Intelligence111 times: AI / Artificial Intelligence, Q3’25 Nov '24, counts as said109 times: AI / Artificial Intelligence, Q4’25 Feb '25, counts as said128 times: AI / Artificial Intelligence, Q1’26 May '25, counts as said103 times: AI / Artificial Intelligence, Q2’26 Aug '25, counts as said92 times: AI / Artificial Intelligence, Q3’26 Nov '25, counts as said75 times: AI / Artificial Intelligence, Q4’26 Feb '26, counts as said101 times: AI / Artificial Intelligence, Q1’27 May '26, counts as said71 times: AI / Artificial Intelligence, Q2’27 Aug '26, counts as saidsteady8/8100%8/8100%49/8260%78%n=1+tx from settlement history blended with transcripts
Automotive1 time: Automotive, Q3’25 Nov '24, counts as said5 times: Automotive, Q4’25 Feb '25, counts as said1 time: Automotive, Q1’26 May '25, counts as said1 time: Automotive, Q2’26 Aug '25, counts as said1 time: Automotive, Q3’26 Nov '25, counts as said1 time: Automotive, Q4’26 Feb '26, counts as said1 time: Automotive, Q1’27 May '26, counts as said1 time: Automotive, Q2’27 Aug '26, counts as saidfalling8/8100%8/8100%58/8271%74%n=1+tx from settlement history blended with transcripts
Autonomous1 time: Autonomous, Q3’25 Nov '24, counts as said3 times: Autonomous, Q4’25 Feb '25, counts as said1 time: Autonomous, Q1’26 May '25, counts as said1 time: Autonomous, Q2’26 Aug '25, counts as said2 times: Autonomous, Q3’26 Nov '25, counts as said1 time: Autonomous, Q4’26 Feb '26, counts as said2 times: Autonomous, Q1’27 May '26, counts as said1 time: Autonomous, Q2’27 Aug '26, counts as saidsteady8/8100%5/862%44/8254%78%n=1+tx from settlement history blended with transcripts
Blackwell10+ times54 times: Blackwell 10+ times, Q3’25 Nov '24, counts as said52 times: Blackwell 10+ times, Q4’25 Feb '25, counts as said22 times: Blackwell 10+ times, Q1’26 May '25, counts as said32 times: Blackwell 10+ times, Q2’26 Aug '25, counts as said20 times: Blackwell 10+ times, Q3’26 Nov '25, counts as said19 times: Blackwell 10+ times, Q4’26 Feb '26, counts as said20 times: Blackwell 10+ times, Q1’27 May '26, counts as said6 times: Blackwell 10+ times, Q2’27 Aug '26, below the thresholdfalling7/888%7/888%9/8211%66%n=1+tx from settlement history blended with transcripts
Cloud13 times: Cloud, Q3’25 Nov '24, counts as said5 times: Cloud, Q4’25 Feb '25, counts as said8 times: Cloud, Q1’26 May '25, counts as said11 times: Cloud, Q2’26 Aug '25, counts as said18 times: Cloud, Q3’26 Nov '25, counts as said15 times: Cloud, Q4’26 Feb '26, counts as said23 times: Cloud, Q1’27 May '26, counts as said14 times: Cloud, Q2’27 Aug '26, counts as saidrising8/8100%8/8100%65/8279%96%n=1+tx from settlement history blended with transcripts
Data Center10+ times37 times: Data Center 10+ times, Q3’25 Nov '24, counts as said29 times: Data Center 10+ times, Q4’25 Feb '25, counts as said12 times: Data Center 10+ times, Q1’26 May '25, counts as said29 times: Data Center 10+ times, Q2’26 Aug '25, counts as said17 times: Data Center 10+ times, Q3’26 Nov '25, counts as said34 times: Data Center 10+ times, Q4’26 Feb '26, counts as said24 times: Data Center 10+ times, Q1’27 May '26, counts as said21 times: Data Center 10+ times, Q2’27 Aug '26, counts as saidsteady8/8100%8/8100%47/8257%84%n=1+tx from settlement history blended with transcripts
Data Center20+ times37 times: Data Center 20+ times, Q3’25 Nov '24, counts as said29 times: Data Center 20+ times, Q4’25 Feb '25, counts as said12 times: Data Center 20+ times, Q1’26 May '25, below the threshold29 times: Data Center 20+ times, Q2’26 Aug '25, counts as said17 times: Data Center 20+ times, Q3’26 Nov '25, below the threshold34 times: Data Center 20+ times, Q4’26 Feb '26, counts as said24 times: Data Center 20+ times, Q1’27 May '26, counts as said21 times: Data Center 20+ times, Q2’27 Aug '26, counts as saidsteady6/875%0/80%41/8250%64%n=1+tx from settlement history blended with transcripts
Datacenter37 times: Datacenter, Q3’25 Nov '24, counts as said29 times: Datacenter, Q4’25 Feb '25, counts as said12 times: Datacenter, Q1’26 May '25, counts as said29 times: Datacenter, Q2’26 Aug '25, counts as said17 times: Datacenter, Q3’26 Nov '25, counts as said34 times: Datacenter, Q4’26 Feb '26, counts as said24 times: Datacenter, Q1’27 May '26, counts as said21 times: Datacenter, Q2’27 Aug '26, counts as saidsteady8/8100%8/8100%61/8274%96%n=1+tx from settlement history blended with transcripts
DeepSeek0 times: DeepSeek, Q3’25 Nov '240 times: DeepSeek, Q4’25 Feb '250 times: DeepSeek, Q1’26 May '251 time: DeepSeek, Q2’26 Aug '25, counts as said1 time: DeepSeek, Q3’26 Nov '25, counts as said0 times: DeepSeek, Q4’26 Feb '260 times: DeepSeek, Q1’27 May '261 time: DeepSeek, Q2’27 Aug '26, counts as saidrising3/838%2/825%3/824%47%n=1+tx from settlement history blended with transcripts
Demand20 times: Demand, Q3’25 Nov '24, counts as said17 times: Demand, Q4’25 Feb '25, counts as said9 times: Demand, Q1’26 May '25, counts as said9 times: Demand, Q2’26 Aug '25, counts as said4 times: Demand, Q3’26 Nov '25, counts as said20 times: Demand, Q4’26 Feb '26, counts as said10 times: Demand, Q1’27 May '26, counts as said18 times: Demand, Q2’27 Aug '26, counts as saidsteady8/8100%8/8100%78/8295%95%n=1+tx from settlement history blended with transcripts
Dividend1 time: Dividend, Q3’25 Nov '24, counts as said1 time: Dividend, Q4’25 Feb '25, counts as said1 time: Dividend, Q1’26 May '25, counts as said1 time: Dividend, Q2’26 Aug '25, counts as said0 times: Dividend, Q3’26 Nov '252 times: Dividend, Q4’26 Feb '26, counts as said3 times: Dividend, Q1’27 May '26, counts as said1 time: Dividend, Q2’27 Aug '26, counts as saidrising7/888%7/888%42/8251%77%n=1+tx from settlement history blended with transcripts
Europe / European1 time: Europe / European, Q3’25 Nov '24, counts as said0 times: Europe / European, Q4’25 Feb '252 times: Europe / European, Q1’26 May '25, counts as said3 times: Europe / European, Q2’26 Aug '25, counts as said0 times: Europe / European, Q3’26 Nov '250 times: Europe / European, Q4’26 Feb '260 times: Europe / European, Q1’27 May '261 time: Europe / European, Q2’27 Aug '26, counts as saidfalling4/850%3/838%40/8249%78%n=1+tx from settlement history blended with transcripts
Export restriction0 times: Export restriction, Q3’25 Nov '240 times: Export restriction, Q4’25 Feb '251 time: Export restriction, Q1’26 May '25, counts as said0 times: Export restriction, Q2’26 Aug '250 times: Export restriction, Q3’26 Nov '250 times: Export restriction, Q4’26 Feb '260 times: Export restriction, Q1’27 May '260 times: Export restriction, Q2’27 Aug '26steady1/812%1/812%2/822%22%n=1+tx from settlement history blended with transcripts
GeForce3 times: GeForce, Q3’25 Nov '24, counts as said2 times: GeForce, Q4’25 Feb '25, counts as said3 times: GeForce, Q1’26 May '25, counts as said5 times: GeForce, Q2’26 Aug '25, counts as said2 times: GeForce, Q3’26 Nov '25, counts as said1 time: GeForce, Q4’26 Feb '26, counts as said0 times: GeForce, Q1’27 May '260 times: GeForce, Q2’27 Aug '26falling6/875%6/875%77/8294%52%n=1+tx from settlement history blended with transcripts
Generative AI / Gen AI / Gen-AI10 times: Generative AI / Gen AI / Gen-AI, Q3’25 Nov '24, counts as said5 times: Generative AI / Gen AI / Gen-AI, Q4’25 Feb '25, counts as said1 time: Generative AI / Gen AI / Gen-AI, Q1’26 May '25, counts as said1 time: Generative AI / Gen AI / Gen-AI, Q2’26 Aug '25, counts as said14 times: Generative AI / Gen AI / Gen-AI, Q3’26 Nov '25, counts as said2 times: Generative AI / Gen AI / Gen-AI, Q4’26 Feb '26, counts as said0 times: Generative AI / Gen AI / Gen-AI, Q1’27 May '260 times: Generative AI / Gen AI / Gen-AI, Q2’27 Aug '26falling6/875%5/862%14/8217%77%n=1+tx from settlement history blended with transcripts
Grok0 times: Grok, Q3’25 Nov '243 times: Grok, Q4’25 Feb '25, counts as said0 times: Grok, Q1’26 May '250 times: Grok, Q2’26 Aug '250 times: Grok, Q3’26 Nov '255 times: Grok, Q4’26 Feb '26, counts as said0 times: Grok, Q1’27 May '260 times: Grok, Q2’27 Aug '26steady2/825%2/825%2/822%48%n=1+tx from settlement history blended with transcripts
Incredible / Unprecedented10 times: Incredible / Unprecedented, Q3’25 Nov '24, counts as said5 times: Incredible / Unprecedented, Q4’25 Feb '25, counts as said3 times: Incredible / Unprecedented, Q1’26 May '25, counts as said3 times: Incredible / Unprecedented, Q2’26 Aug '25, counts as said5 times: Incredible / Unprecedented, Q3’26 Nov '25, counts as said10 times: Incredible / Unprecedented, Q4’26 Feb '26, counts as said5 times: Incredible / Unprecedented, Q1’27 May '26, counts as said5 times: Incredible / Unprecedented, Q2’27 Aug '26, counts as saidsteady8/8100%6/875%51/8262%92%n=1+tx from settlement history blended with transcripts
What the columns mean
Last N
of the appearances shown, how many counted as said
Trend
how the count moved over these calls
Scripted
calls of the last 8 where it was said in the prepared remarks
All-time
every call on file
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 (52 left)

Appearances and settled record

latest 12

Our transcript counts matched how 200 of 202 settled words resolved (99.0%). How we check.

Recent appearances and how their listed words settled
DateAppearanceTextWordsSettledOur count agreed
Aug 26, 2026Earnings call FY27 Q2Speaker-labelled transcript3414 yes · 20 no34/34 (100%)
May 20, 2026Earnings call FY27 Q1Speaker-labelled transcript4416 yes · 28 no44/44 (100%)
Feb 25, 2026Earnings call FY26 Q4Speaker-labelled transcript176 yes · 11 no17/17 (100%)
Nov 19, 2025Earnings call FY26 Q3Speaker-labelled transcript3416 yes · 18 no34/34 (100%)
Aug 27, 2025Earnings call FY26 Q2Speaker-labelled transcript2929 yes · 0 no29/29 (100%)
May 28, 2025Earnings call FY26 Q1Speaker-labelled transcript2013 yes · 7 no19/20 (95%)
Feb 26, 2025Earnings call FY25 Q4Speaker-labelled transcript2410 yes · 14 no23/24 (96%)
Nov 20, 2024Earnings call FY25 Q3Speaker-labelled transcript0––
Aug 28, 2024Earnings call FY25 Q2Speaker-labelled transcript0––
May 22, 2024Earnings call FY25 Q1Speaker-labelled transcript0––
Feb 21, 2024Earnings call FY24 Q4Speaker-labelled transcript0––
Nov 21, 2023Earnings call FY24 Q3Speaker-labelled transcript0––

Citeparrot.markets, “NVIDIA (NVDA): earnings call word history”, as of Oct 23, 2026, https://parrot.markets/earnings/NVDA (CC BY 4.0)

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