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WireSift Research · AI Adoption Tracker · Q1 2026

TTDThe Trade Desk, Inc.

AI adoption · Q1 2026 earnings call

Communication ServicesScaling
AI mentions
22
extracted from this call
Max specificity
4 / 5
quantified with specifics
AI revenue
Not disclosed
no breakout in this call
AI was a central theme across both prepared remarks and Q&A, with CEO Jeff Green framing TTD as a future leader of the 'agentic revolution' in programmatic advertising. Key AI topics included: the Koa AI tool for advertisers, a new agentic AI partnership with Stagwell for campaign creation and optimization, the strategic opportunity from LLMs/AI search engines (ChatGPT, Perplexity, Gemini) as future ad inventory sources, and the importance of TTD's data advantage in an AI-driven world. Management also highlighted AI-powered platform tools and AI-driven decisioning as core investment priorities. No AI-specific revenue figures were disclosed.
Public Company AI Adoption Index
Adopter
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Composite
44/ 100
#123 non-tech · #188 overall · #6 in Communication Services
Depth · 40%
78
stage: scaling · max spec: 4
Disclosure · 40%
0
no quantified disclosure
Breadth · 20%
65
2 scopes
Adoption scopes:product_embeddedinternal_use
Every claim, sourced

22 AI mentions from this call.

Extracted verbatim from the TTD Q1 2026 earnings call transcript. Speaker, section, and specificity tier surfaced for each mention.

  • T4Prepared remarks· CEO· Product-embedded AI
    Audience Unlimited delivered 30% lower CPMs on media, 38% lower data costs, a 75% more efficient CPA, and a 2.7x increase in conversion rate compared to the control group. Most importantly, Audience Unlimited increased campaign performance while simultaneously reducing manual effort in the audience selection process.
    Jeffrey Terry Green, TTD earnings call
    ProductsAudience Unlimited
  • T3Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Truist Securities· Youssef Houssaini Squali
    you talked in your prepared remarks about LLMs, AI search, and the opportunity there. Could you maybe flesh that out a little bit for us?
    about a decade ago, Google made the decision to stop sharing ad log-level data. It is actually in those insights, in that grain, where a whole bunch of companies can build. Of course, in order to be an AI company, you need a lot of data, and you need a lot of quality data. Because The Trade Desk, Inc. has historically always said to the biggest brands and to their agencies, we want you to keep your data, we want to make certain that we protect it. That is different than most of the big platforms who are asking brands and agencies to surrender their data and to pool their data with their other customers. We say all the time internally, things like data leakage are exponentially more expensive in a world of AI.
    Jeffrey Terry Green, TTD earnings call
  • T3Prepared remarks· CEO· Product-embedded AI
    we recently had partnership discussions with a smaller AI-first company. While we have been partners for years, we are looking to expand now. And they shared a few things with us that I want to share today. One is that The Trade Desk, Inc. is the only company that gives them enough data from their buying to power their future. We are working together to further ensure they are getting all that they need to train their models while protecting the data of brands and consumers.
    Jeffrey Terry Green, TTD earnings call
  • T3Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Oppenheimer· Jason Helfstein
    Is the path to agentic more about solving the technology or getting the right kind of commercial terms with the agentic platforms, or both?
    the opportunity for agentic is really to make optimizations and campaigns perform better. I think the optimization questions, which are much more about the variables and how you engage in the transaction, are more the issue being solved than the commercial terms, so to speak. I think there will be a lot of frameworks that are decided beforehand, then we will repeat that using agents millions, billions, even trillions of times subsequently.
    Jeffrey Terry Green, TTD earnings call
  • T3Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Bank of America· Jessica Reif Ehrlich
    when do you think agentic trading will become the dominant dynamic in programmatic media, and how will The Trade Desk, Inc. be impacted by this?
    One simple way to explain agentic AI is that it is a layer on top of the API that can reason—or, said simply, an API that can reason—while simultaneously creating productivity. What we started with Stagwell is the ability to create and edit campaigns in the most basic form. That will, of course, evolve into optimizations.
    Jeffrey Terry Green, TTD earnings call
    PartnersStagwell
  • T3Prepared remarks· CEO· Product-embedded AI
    we announced the first of many partnerships with one of the up-and-coming large agencies, Stagwell. Our partnership is to leverage agentic AI to create, edit, and modify campaigns. After these basics, we will move to agentic optimizations.
    Jeffrey Terry Green, TTD earnings call
    PartnersStagwell
  • T3Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Bank of America· Jessica Reif Ehrlich
    when do you think agentic trading will become the dominant dynamic in programmatic media, and how will The Trade Desk, Inc. be impacted by this?
    currently 20 million ad opportunities every single second—and then choose carefully the 300 or 400 the biggest brands in the world should be buying. Agentic will facilitate that.
    Jeffrey Terry Green, TTD earnings call
  • T3Q&A· CEO· Internal use
    Analyst questionparaphrased· Cannonball Research· Vasily Karasyov
    Adweek announced that your Chief Strategy Officer, Samantha Jacob, is leaving the company to join OpenAI. So now that it is public, I was wondering if you could share the details around this event.
    Samantha is taking a role at OpenAI. On a personal level, I am excited for her, and I am extremely confident in her abilities to have an impact there just like she has had here.
    Jeffrey Terry Green, TTD earnings call
    PartnersOpenAI
  • T2Q&A· CEO· Customer demand signal
    Analyst questionparaphrased· Truist Securities· Youssef Houssaini Squali
    you talked in your prepared remarks about LLMs, AI search, and the opportunity there. Could you maybe flesh that out a little bit for us? What are the gating factors to start making that a reality and have it start impacting the P&L?
    in order to make the most amount of money, it might, in some cases, need to include video. If there is a lot of compute cost that goes into that answer, it probably is somewhat correlated to the value of the response to the user, which might make it easier to put on the other side of a video. In both of those cases, I do believe that it can unlock a greater amount of TAM for the LLMs in the sense that they can participate in top-of-the-funnel activity and bottom-of-the-funnel activity, which is different than what search has done.
    Jeffrey Terry Green, TTD earnings call
  • T2Prepared remarks· CEO· Customer demand signal
    By this standard, we are also optimistic that the LLMs and AI search engines like ChatGPT, Perplexity, and Gemini will eventually unlock more inventory in the future. Because highly detailed prompts can create a willingness to see even video ads and higher levels of engagement that is way beyond what, quote, legacy search and keywords could provide, we are optimistic that, over time, the TAM that was once locked up by search will be unlocked by a more premium and more competitive environment.
    Jeffrey Terry Green, TTD earnings call
  • T2Q&A· CEO· Customer demand signal
    Analyst questionparaphrased· Truist Securities· Youssef Houssaini Squali
    you talked in your prepared remarks about LLMs, AI search, and the opportunity there. Could you maybe flesh that out a little bit for us? What are the gating factors to start making that a reality and have it start impacting the P&L?
    I believe they are in a very similar position to Netflix in the way that we talked about them five to ten years ago, when I started asserting that they would eventually have to show ads even at times when Netflix was saying they were not going to show ads. I made that assertion in part because I knew how expensive their content was. The LLMs, chatbots, AI search companies have a very similar dilemma. They have very expensive content.
    Jeffrey Terry Green, TTD earnings call
  • T2Prepared remarks· CEO· Customer demand signal
    the chatbots and AI search engines. Linear television moving to CTV is still at the early stages alongside the rapid growth of retail media, and over time, the emergence of new high-intent search-like opportunities as AI reshapes legacy search. We believe these trends are big opportunities for The Trade Desk, Inc. and reinforce the long-term opportunity for our business.
    Jeffrey Terry Green, TTD earnings call
  • T2Prepared remarks· CEO· Product-embedded AI
    we are extremely focused on improving the inputs that feed our objective AI-fueled advertising machine for buyers. Those enhancements include improving measurement, improving data-driven decisioning, improving data and price discovery of data itself, and making our supply chain to inventory and data more efficient.
    Jeffrey Terry Green, TTD earnings call
  • T2Prepared remarks· CEO· Product-embedded AI
    They are investing in and leveraging AI tools like Koa. They are using and protecting their own data and leaning into the objective media buying platform at The Trade Desk, Inc. to make advertising dollars more effective and better distributed throughout the entire funnel.
    Jeffrey Terry Green, TTD earnings call
    ProductsKoa
  • T2Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· RBC· Matthew John Swanson
    how do you think about revenue reacceleration and which aspects of it are in your control?
    all the innovations that we have injected into our platform and our partnerships brought to you via various forms of AI—maybe agentic being the one I am the most excited about—there is just so much opportunity ahead for us and the open internet.
    Jeffrey Terry Green, TTD earnings call
  • T2Prepared remarks· CFO· Product-embedded AI
    With strong execution across key initiatives such as CTV, retail media, agentic AI, supply path optimization, and growth outside the U.S., we remain confident in our ability to capitalize on the significant opportunities ahead of us.
    Tahnil Davis, TTD earnings call
  • T2Prepared remarks· CFO· Internal use
    we continued to make investments in our team and platform, particularly in areas like platform operations as we optimize our platform infrastructure and implement more AI-powered tools in our platform.
    Tahnil Davis, TTD earnings call
  • T2Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Bank of America· Jessica Reif Ehrlich
    when do you think agentic trading will become the dominant dynamic in programmatic media, and how will The Trade Desk, Inc. be impacted by this?
    I do not think there is an industry in the world that is better suited to be upgraded from agentic AI than programmatic advertising. I do think programmatic will benefit tremendously from agentic.
    Jeffrey Terry Green, TTD earnings call
  • T2Prepared remarks· CEO· Product-embedded AI
    our objective position allows our AI models to evaluate every opportunity on its merits across the entire ecosystem and optimize purely for each advertiser's goal.
    Jeffrey Terry Green, TTD earnings call
  • T2Prepared remarks· CFO· Product-embedded AI
    we will continue investing in areas where we see the highest long-term ROI, particularly around platform innovation, AI, retail media, and measurement.
    Tahnil Davis, TTD earnings call
  • T2Prepared remarks· CFO· Product-embedded AI
    We plan to be deliberate in prioritizing investments that directly support revenue growth and AI-driven innovation.
    Tahnil Davis, TTD earnings call
  • T2Prepared remarks· CEO· Product-embedded AI
    fixing open internet measurement is required for many AI-backed initiatives to work.
    Jeffrey Terry Green, TTD earnings call
Q&A Dynamics

What management wouldn’t quantify.

Analyst questions where management declined to share a specific number. The pattern of refusals is often as informative as the disclosures.

  1. No quantification of Koa AI tool adoption, revenue contribution, or measurable productivity impact despite multiple references.
  2. Agentic AI partnership with Stagwell described as early-stage with no deal size, timeline to scale, or revenue impact disclosed.
  3. No disclosure of AI-specific R&D spend or capex allocation despite CFO referencing 'AI-powered tools' as an investment area.
  4. LLM/AI search engine opportunity discussed at length but no timeline, revenue estimate, or commercial terms disclosed.
  5. AI-first company partnership (unnamed) discussed with strategic color but no financial terms or identity disclosed.
  6. Analyst (Truist/Squali) asked about gating factors for LLM opportunity impacting P&L; management gave qualitative response only, declined to quantify or timeline.
  7. No disclosure of headcount additions specifically for AI roles despite referencing 'assembling a very strong team of meaningfully senior leaders.'
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Sourced from primary documents · See the methodology for the extraction approach.