Adobe (ADBE)

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As of Oct 23, 2026, Kalshi and Polymarket have settled 70 word markets on Adobe’s earnings calls since 2025, on 30 different words; most reliably said: “Generative AI / Gen AI” (3 of 5). Next: Keynote, Nov 10, 2026 (16 words listed).

“3D” on the Sep 10 call · 10:22 · said once. Play the clip

Next: Keynote ·

16 words listed · Occasion page

Who counts: Kalshi: named speaker only

Kalshi

Adobe: the words listed for Tue, Nov 10, how often each was said on past occasions, and the probability for this one
WordQ4’24Dec '24Q1’25Mar '25Q2’25Jun '25Q3’25Sep '25Q4’25Dec '25Q1’26Mar '26Q2’26Jun '26Q3’26last callTrendLast 8ScriptedAll-timeProbabilityMarket
3D0 times: 3D, Q4’24 Dec '244 times: 3D, Q1’25 Mar '25, counts as said2 times: 3D, Q2’25 Jun '25, counts as said1 time: 3D, Q3’25 Sep '25, counts as said1 time: 3D, Q4’25 Dec '25, counts as said1 time: 3D, Q1’26 Mar '26, counts as said3 times: 3D, Q2’26 Jun '26, counts as said1 time: 3D, Q3’26 Sep '26, counts as saidsteady7/888%6/875%40/8448%62%n=4 from settlement history18¢ Kalshi
Disney1 time: Disney, Q4’24 Dec '24, counts as said1 time: Disney, Q1’25 Mar '25, counts as said1 time: Disney, Q2’25 Jun '25, counts as said2 times: Disney, Q3’25 Sep '25, counts as said0 times: Disney, Q4’25 Dec '250 times: Disney, Q1’26 Mar '260 times: Disney, Q2’26 Jun '264 times: Disney, Q3’26 Sep '26, counts as saidrising5/862%4/850%14/8417%–n=1 too little history for a probability10¢ Kalshi
GenStudio23 times: GenStudio, Q4’24 Dec '24, counts as said22 times: GenStudio, Q1’25 Mar '25, counts as said20 times: GenStudio, Q2’25 Jun '25, counts as said21 times: GenStudio, Q3’25 Sep '25, counts as said9 times: GenStudio, Q4’25 Dec '25, counts as said12 times: GenStudio, Q1’26 Mar '26, counts as said4 times: GenStudio, Q2’26 Jun '26, counts as said5 times: GenStudio, Q3’26 Sep '26, counts as saidfalling8/8100%8/8100%13/8415%–n=1 too little history for a probability34¢ Kalshi
Topaz Labs0 times: Topaz Labs, Q4’24 Dec '240 times: Topaz Labs, Q1’25 Mar '250 times: Topaz Labs, Q2’25 Jun '250 times: Topaz Labs, Q3’25 Sep '251 time: Topaz Labs, Q4’25 Dec '25, counts as said0 times: Topaz Labs, Q1’26 Mar '260 times: Topaz Labs, Q2’26 Jun '262 times: Topaz Labs, Q3’26 Sep '26, counts as saidrising2/825%2/825%2/842%–n=1 too little history for a probability29¢ Kalshi
Acrobat30 times: Acrobat, Q4’24 Dec '24, counts as said38 times: Acrobat, Q1’25 Mar '25, counts as said32 times: Acrobat, Q2’25 Jun '25, counts as said29 times: Acrobat, Q3’25 Sep '25, counts as said18 times: Acrobat, Q4’25 Dec '25, counts as said18 times: Acrobat, Q1’26 Mar '26, counts as said32 times: Acrobat, Q2’26 Jun '26, counts as said13 times: Acrobat, Q3’26 Sep '26, counts as saidfalling8/8100%8/8100%83/8499%–new new word, no probability yet46¢ Kalshi
Adobe Express7 times: Adobe Express, Q4’24 Dec '24, counts as said3 times: Adobe Express, Q1’25 Mar '25, counts as said1 time: Adobe Express, Q2’25 Jun '25, counts as said2 times: Adobe Express, Q3’25 Sep '25, counts as said0 times: Adobe Express, Q4’25 Dec '251 time: Adobe Express, Q1’26 Mar '26, counts as said1 time: Adobe Express, Q2’26 Jun '26, counts as said0 times: Adobe Express, Q3’26 Sep '26falling6/875%6/875%16/8419%–new new word, no probability yet42¢ Kalshi
Content Credential0 times: Content Credential, Q4’24 Dec '240 times: Content Credential, Q1’25 Mar '250 times: Content Credential, Q2’25 Jun '250 times: Content Credential, Q3’25 Sep '250 times: Content Credential, Q4’25 Dec '250 times: Content Credential, Q1’26 Mar '260 times: Content Credential, Q2’26 Jun '260 times: Content Credential, Q3’26 Sep '26steady0/80%0/80%2/842%–new new word, no probability yet35¢ Kalshi
Copyright0 times: Copyright, Q4’24 Dec '240 times: Copyright, Q1’25 Mar '251 time: Copyright, Q2’25 Jun '25, counts as said0 times: Copyright, Q3’25 Sep '250 times: Copyright, Q4’25 Dec '250 times: Copyright, Q1’26 Mar '260 times: Copyright, Q2’26 Jun '260 times: Copyright, Q3’26 Sep '26steady1/812%0/80%4/845%–new new word, no probability yet18¢ Kalshi
Generative Fill0 times: Generative Fill, Q4’24 Dec '240 times: Generative Fill, Q1’25 Mar '251 time: Generative Fill, Q2’25 Jun '25, counts as said1 time: Generative Fill, Q3’25 Sep '25, counts as said1 time: Generative Fill, Q4’25 Dec '25, counts as said0 times: Generative Fill, Q1’26 Mar '260 times: Generative Fill, Q2’26 Jun '260 times: Generative Fill, Q3’26 Sep '26steady3/838%2/825%9/8411%–new new word, no probability yet20¢ Kalshi
Photoshop5 times: Photoshop, Q4’24 Dec '24, counts as said16 times: Photoshop, Q1’25 Mar '25, counts as said7 times: Photoshop, Q2’25 Jun '25, counts as said7 times: Photoshop, Q3’25 Sep '25, counts as said7 times: Photoshop, Q4’25 Dec '25, counts as said6 times: Photoshop, Q1’26 Mar '26, counts as said4 times: Photoshop, Q2’26 Jun '26, counts as said4 times: Photoshop, Q3’26 Sep '26, counts as saidfalling8/8100%8/8100%77/8492%–new new word, no probability yet67¢ Kalshi
Premiere5 times: Premiere, Q4’24 Dec '24, counts as said1 time: Premiere, Q1’25 Mar '25, counts as said3 times: Premiere, Q2’25 Jun '25, counts as said3 times: Premiere, Q3’25 Sep '25, counts as said3 times: Premiere, Q4’25 Dec '25, counts as said4 times: Premiere, Q1’26 Mar '26, counts as said3 times: Premiere, Q2’26 Jun '26, counts as said3 times: Premiere, Q3’26 Sep '26, counts as saidsteady8/8100%8/8100%56/8467%–new new word, no probability yet49¢ Kalshi
NVIDIA0 times: NVIDIA, Q4’24 Dec '240 times: NVIDIA, Q1’25 Mar '250 times: NVIDIA, Q2’25 Jun '250 times: NVIDIA, Q3’25 Sep '250 times: NVIDIA, Q4’25 Dec '251 time: NVIDIA, Q1’26 Mar '26, counts as said3 times: NVIDIA, Q2’26 Jun '26, counts as said0 times: NVIDIA, Q3’26 Sep '26rising2/825%2/825%6/847%43%n=2 from settlement history21¢ Kalshi
Generative AI / Gen AI8 times: Generative AI / Gen AI, Q4’24 Dec '24, counts as said10 times: Generative AI / Gen AI, Q1’25 Mar '25, counts as said6 times: Generative AI / Gen AI, Q2’25 Jun '25, counts as said6 times: Generative AI / Gen AI, Q3’25 Sep '25, counts as said8 times: Generative AI / Gen AI, Q4’25 Dec '25, counts as said4 times: Generative AI / Gen AI, Q1’26 Mar '26, counts as said0 times: Generative AI / Gen AI, Q2’26 Jun '260 times: Generative AI / Gen AI, Q3’26 Sep '26falling6/875%6/875%14/8417%41%n=5 from settlement history62¢ Kalshi
OpenAI / ChatGPT2 times: OpenAI / ChatGPT, Q4’24 Dec '24, counts as said0 times: OpenAI / ChatGPT, Q1’25 Mar '252 times: OpenAI / ChatGPT, Q2’25 Jun '25, counts as said4 times: OpenAI / ChatGPT, Q3’25 Sep '25, counts as said4 times: OpenAI / ChatGPT, Q4’25 Dec '25, counts as said7 times: OpenAI / ChatGPT, Q1’26 Mar '26, counts as said4 times: OpenAI / ChatGPT, Q2’26 Jun '26, counts as said4 times: OpenAI / ChatGPT, Q3’26 Sep '26, counts as saidrising7/888%7/888%9/8411%–n=1 too little history for a probability35¢ Kalshi
YouTube0 times: YouTube, Q4’24 Dec '240 times: YouTube, Q1’25 Mar '250 times: YouTube, Q2’25 Jun '250 times: YouTube, Q3’25 Sep '253 times: YouTube, Q4’25 Dec '25, counts as said0 times: YouTube, Q1’26 Mar '260 times: YouTube, Q2’26 Jun '260 times: YouTube, Q3’26 Sep '26steady1/812%1/812%12/8414%34%n=4 from settlement history20¢ Kalshi
Firefly Video1 time: Firefly Video, Q4’24 Dec '24, counts as said3 times: Firefly Video, Q1’25 Mar '25, counts as said1 time: Firefly Video, Q2’25 Jun '25, counts as said1 time: Firefly Video, Q3’25 Sep '25, counts as said0 times: Firefly Video, Q4’25 Dec '250 times: Firefly Video, Q1’26 Mar '260 times: Firefly Video, Q2’26 Jun '260 times: Firefly Video, Q3’26 Sep '26falling4/850%4/850%5/846%30%n=4 from settlement history40¢ Kalshi

The cells count each word on Adobe’s last 8 earnings calls (company speakers + operator). This keynote market counts named speaker only; each word’s page has its settled record.

  • 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 23:45 UTC.

Every word

1–21 of 21, most settled first
Adobe: every word with settled markets, most settled first
WordQ4’24Dec '24Q1’25Mar '25Q2’25Jun '25Q3’25Sep '25Q4’25Dec '25Q1’26Mar '26Q2’26Jun '26Q3’26last callTrendLast 8ScriptedAll-timeProbability
LLM Optimizer0 times: LLM Optimizer, Q4’24 Dec '240 times: LLM Optimizer, Q1’25 Mar '250 times: LLM Optimizer, Q2’25 Jun '256 times: LLM Optimizer, Q3’25 Sep '25, counts as said4 times: LLM Optimizer, Q4’25 Dec '25, counts as said4 times: LLM Optimizer, Q1’26 Mar '26, counts as said1 time: LLM Optimizer, Q2’26 Jun '26, counts as said1 time: LLM Optimizer, Q3’26 Sep '26, counts as saidrising5/862%5/862%5/846%81%n=4+tx from settlement history blended with transcripts
Semrush0 times: Semrush, Q4’24 Dec '240 times: Semrush, Q1’25 Mar '250 times: Semrush, Q2’25 Jun '250 times: Semrush, Q3’25 Sep '257 times: Semrush, Q4’25 Dec '25, counts as said3 times: Semrush, Q1’26 Mar '26, counts as said16 times: Semrush, Q2’26 Jun '26, counts as said5 times: Semrush, Q3’26 Sep '26, counts as saidrising4/850%4/850%4/845%90%n=4+tx from settlement history blended with transcripts
Humain0 times: Humain, Q4’24 Dec '240 times: Humain, Q1’25 Mar '250 times: Humain, Q2’25 Jun '250 times: Humain, Q3’25 Sep '252 times: Humain, Q4’25 Dec '25, counts as said0 times: Humain, Q1’26 Mar '260 times: Humain, Q2’26 Jun '261 time: Humain, Q3’26 Sep '26, counts as saidrising2/825%2/825%2/842%40%n=3+tx from settlement history blended with transcripts
Google Cloudnever said0 times: Google Cloud, Q4’24 Dec '240 times: Google Cloud, Q1’25 Mar '250 times: Google Cloud, Q2’25 Jun '250 times: Google Cloud, Q3’25 Sep '250 times: Google Cloud, Q4’25 Dec '250 times: Google Cloud, Q1’26 Mar '260 times: Google Cloud, Q2’26 Jun '260 times: Google Cloud, Q3’26 Sep '26steady0/80%0/80%0/840%10%n=3+tx from settlement history blended with transcripts
Inference0 times: Inference, Q4’24 Dec '240 times: Inference, Q1’25 Mar '250 times: Inference, Q2’25 Jun '252 times: Inference, Q3’25 Sep '25, counts as said0 times: Inference, Q4’25 Dec '250 times: Inference, Q1’26 Mar '260 times: Inference, Q2’26 Jun '260 times: Inference, Q3’26 Sep '26steady1/812%0/80%3/844%13%n=3+tx from settlement history blended with transcripts
Qualcomm0 times: Qualcomm, Q4’24 Dec '240 times: Qualcomm, Q1’25 Mar '251 time: Qualcomm, Q2’25 Jun '25, counts as said0 times: Qualcomm, Q3’25 Sep '250 times: Qualcomm, Q4’25 Dec '250 times: Qualcomm, Q1’26 Mar '260 times: Qualcomm, Q2’26 Jun '260 times: Qualcomm, Q3’26 Sep '26steady1/812%1/812%8/8410%13%n=3+tx from settlement history blended with transcripts
Tailwind0 times: Tailwind, Q4’24 Dec '242 times: Tailwind, Q1’25 Mar '25, counts as said1 time: Tailwind, Q2’25 Jun '25, counts as said2 times: Tailwind, Q3’25 Sep '25, counts as said0 times: Tailwind, Q4’25 Dec '251 time: Tailwind, Q1’26 Mar '26, counts as said1 time: Tailwind, Q2’26 Jun '26, counts as said1 time: Tailwind, Q3’26 Sep '26, counts as saidsteady6/875%2/825%37/8444%67%n=2+tx from settlement history blended with transcripts
Holiday2 times: Holiday, Q4’24 Dec '24, counts as said0 times: Holiday, Q1’25 Mar '250 times: Holiday, Q2’25 Jun '250 times: Holiday, Q3’25 Sep '252 times: Holiday, Q4’25 Dec '25, counts as said1 time: Holiday, Q1’26 Mar '26, counts as said0 times: Holiday, Q2’26 Jun '260 times: Holiday, Q3’26 Sep '26falling3/838%3/838%27/8432%39%n=2+tx from settlement history blended with transcripts
Creative Cloud13 times: Creative Cloud, Q4’24 Dec '24, counts as said17 times: Creative Cloud, Q1’25 Mar '25, counts as said17 times: Creative Cloud, Q2’25 Jun '25, counts as said18 times: Creative Cloud, Q3’25 Sep '25, counts as said20 times: Creative Cloud, Q4’25 Dec '25, counts as said11 times: Creative Cloud, Q1’26 Mar '26, counts as said15 times: Creative Cloud, Q2’26 Jun '26, counts as said12 times: Creative Cloud, Q3’26 Sep '26, counts as saidsteady8/8100%8/8100%60/8471%95%n=1+tx from settlement history blended with transcripts
Document Cloud11 times: Document Cloud, Q4’24 Dec '24, counts as said9 times: Document Cloud, Q1’25 Mar '25, counts as said0 times: Document Cloud, Q2’25 Jun '250 times: Document Cloud, Q3’25 Sep '250 times: Document Cloud, Q4’25 Dec '250 times: Document Cloud, Q1’26 Mar '260 times: Document Cloud, Q2’26 Jun '260 times: Document Cloud, Q3’26 Sep '26falling2/825%2/825%41/8449%25%n=1+tx from settlement history blended with transcripts
Innovation22 times: Innovation, Q4’24 Dec '24, counts as said15 times: Innovation, Q1’25 Mar '25, counts as said11 times: Innovation, Q2’25 Jun '25, counts as said19 times: Innovation, Q3’25 Sep '25, counts as said9 times: Innovation, Q4’25 Dec '25, counts as said14 times: Innovation, Q1’26 Mar '26, counts as said8 times: Innovation, Q2’26 Jun '26, counts as said19 times: Innovation, Q3’26 Sep '26, counts as saidsteady8/8100%8/8100%73/8487%95%n=1+tx from settlement history blended with transcripts
Retention3 times: Retention, Q4’24 Dec '24, counts as said2 times: Retention, Q1’25 Mar '25, counts as said3 times: Retention, Q2’25 Jun '25, counts as said4 times: Retention, Q3’25 Sep '25, counts as said0 times: Retention, Q4’25 Dec '252 times: Retention, Q1’26 Mar '26, counts as said1 time: Retention, Q2’26 Jun '26, counts as said1 time: Retention, Q3’26 Sep '26, counts as saidfalling7/888%7/888%54/8464%68%n=1+tx from settlement history blended with transcripts
Subscription11 times: Subscription, Q4’24 Dec '24, counts as said26 times: Subscription, Q1’25 Mar '25, counts as said19 times: Subscription, Q2’25 Jun '25, counts as said14 times: Subscription, Q3’25 Sep '25, counts as said14 times: Subscription, Q4’25 Dec '25, counts as said11 times: Subscription, Q1’26 Mar '26, counts as said14 times: Subscription, Q2’26 Jun '26, counts as said10 times: Subscription, Q3’26 Sep '26, counts as saidfalling8/8100%8/8100%68/8481%95%n=1+tx from settlement history blended with transcripts
Tariff0 times: Tariff, Q4’24 Dec '241 time: Tariff, Q1’25 Mar '25, counts as said0 times: Tariff, Q2’25 Jun '250 times: Tariff, Q3’25 Sep '250 times: Tariff, Q4’25 Dec '250 times: Tariff, Q1’26 Mar '260 times: Tariff, Q2’26 Jun '260 times: Tariff, Q3’26 Sep '26steady1/812%0/80%1/841%22%n=1+tx from settlement history blended with transcripts
Anthropic0 times: Anthropic, Q4’24 Dec '240 times: Anthropic, Q1’25 Mar '250 times: Anthropic, Q2’25 Jun '250 times: Anthropic, Q3’25 Sep '250 times: Anthropic, Q4’25 Dec '251 time: Anthropic, Q1’26 Mar '26, counts as said2 times: Anthropic, Q2’26 Jun '26, counts as said0 times: Anthropic, Q3’26 Sep '26rising2/825%2/825%2/842%31%n=1+tx from settlement history blended with transcripts
Black Friday2 times: Black Friday, Q4’24 Dec '24, counts as said0 times: Black Friday, Q1’25 Mar '250 times: Black Friday, Q2’25 Jun '250 times: Black Friday, Q3’25 Sep '250 times: Black Friday, Q4’25 Dec '250 times: Black Friday, Q1’26 Mar '260 times: Black Friday, Q2’26 Jun '260 times: Black Friday, Q3’26 Sep '26falling1/812%1/812%10/8412%16%n=1+tx from settlement history blended with transcripts
Cloud Migration0 times: Cloud Migration, Q4’24 Dec '240 times: Cloud Migration, Q1’25 Mar '250 times: Cloud Migration, Q2’25 Jun '250 times: Cloud Migration, Q3’25 Sep '250 times: Cloud Migration, Q4’25 Dec '250 times: Cloud Migration, Q1’26 Mar '260 times: Cloud Migration, Q2’26 Jun '260 times: Cloud Migration, Q3’26 Sep '26steady0/80%0/80%1/841%14%n=1+tx from settlement history blended with transcripts
Figma0 times: Figma, Q4’24 Dec '240 times: Figma, Q1’25 Mar '250 times: Figma, Q2’25 Jun '250 times: Figma, Q3’25 Sep '250 times: Figma, Q4’25 Dec '250 times: Figma, Q1’26 Mar '260 times: Figma, Q2’26 Jun '260 times: Figma, Q3’26 Sep '26steady0/80%0/80%7/848%14%n=1+tx from settlement history blended with transcripts
Headwind1 time: Headwind, Q4’24 Dec '24, counts as said0 times: Headwind, Q1’25 Mar '250 times: Headwind, Q2’25 Jun '250 times: Headwind, Q3’25 Sep '250 times: Headwind, Q4’25 Dec '250 times: Headwind, Q1’26 Mar '260 times: Headwind, Q2’26 Jun '261 time: Headwind, Q3’26 Sep '26, counts as saidsteady2/825%1/812%16/8419%29%n=1+tx from settlement history blended with transcripts
OpenAI0 times: OpenAI, Q4’24 Dec '240 times: OpenAI, Q1’25 Mar '252 times: OpenAI, Q2’25 Jun '25, counts as said3 times: OpenAI, Q3’25 Sep '25, counts as said2 times: OpenAI, Q4’25 Dec '25, counts as said4 times: OpenAI, Q1’26 Mar '26, counts as said2 times: OpenAI, Q2’26 Jun '26, counts as said0 times: OpenAI, Q3’26 Sep '26rising5/862%5/862%6/847%53%n=1+tx from settlement history blended with transcripts
Trumpnever said0 times: Trump, Q4’24 Dec '240 times: Trump, Q1’25 Mar '250 times: Trump, Q2’25 Jun '250 times: Trump, Q3’25 Sep '250 times: Trump, Q4’25 Dec '250 times: Trump, Q1’26 Mar '260 times: Trump, Q2’26 Jun '260 times: Trump, Q3’26 Sep '26steady0/80%0/80%0/840%14%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

Appearances and settled record

latest 12

Our transcript counts matched how 70 of 70 settled words resolved (100.0%). How we check.

Recent appearances and how their listed words settled
DateAppearanceTextWordsSettledOur count agreed
Sep 10, 2026Earnings call FY26 Q3Speaker-labelled transcript137 yes · 6 no13/13 (100%)
Jun 11, 2026Earnings call FY26 Q2Speaker-labelled transcript145 yes · 9 no14/14 (100%)
Mar 12, 2026Earnings call FY26 Q1Speaker-labelled transcript115 yes · 6 no11/11 (100%)
Dec 10, 2025Earnings call FY25 Q4Speaker-labelled transcript2212 yes · 10 no22/22 (100%)
Sep 11, 2025Earnings call FY25 Q3Speaker-labelled transcript0––
Jun 12, 2025Earnings call FY25 Q2Speaker-labelled transcript0––
Mar 12, 2025Earnings call FY25 Q1Speaker-labelled transcript107 yes · 3 no10/10 (100%)
Dec 11, 2024Earnings call FY24 Q4Speaker-labelled transcript0––
Sep 12, 2024Earnings call FY24 Q3Speaker-labelled transcript0––
Jun 13, 2024Earnings call FY24 Q2Speaker-labelled transcript0––
Mar 14, 2024Earnings call FY24 Q1Speaker-labelled transcript0––
Dec 13, 2023Earnings call FY23 Q4Speaker-labelled transcript0––

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

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