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WireSift Research · AI Adoption Tracker · Q1 2026

NDAQNasdaq, Inc.

AI adoption · Q1 2026 earnings call

FinancialsScaling
AI mentions
20
extracted from this call
Max specificity
5 / 5
financialized — dollar / segment level
AI revenue
Not disclosed
no breakout in this call
Nasdaq management discussed AI extensively across both internal productivity initiatives and client-facing product deployments. Key highlights included a $100M internal expense efficiency target from AI by end of 2027, strong adoption metrics for AI features in corporate solutions (74% of IR Insight users, 51% of Boardvantage users), and Verafin's Agentic-AI workforce deployed by 500+ clients (up 40% since Investor Day). Management framed AI as both a product differentiator driving client demand and an internal transformation lever, with cloud-based AI solutions serving as a key upsell mechanism.
Public Company AI Adoption Index
Adopter
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Composite
71/ 100
#20 non-tech · #60 overall · #7 in Financials
Depth · 40%
80
stage: scaling · max spec: 5
Disclosure · 40%
55
4 quant outcomes
Breadth · 20%
85
3 scopes
Adoption scopes:internal_useproduct_embeddedproduct_standalone
Every claim, sourced

20 AI mentions from this call.

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

  • T5Q&A· CEO· Internal use
    Analyst questionparaphrased· TD Cowen· William Katz
    can you maybe step back and help us frame out the Agentic AI capabilities for the Nasdaq platform itself?
    we do have an internal program to drive AI adoption within the operations of Nasdaq, and we say that's AI on the business. And we are focused in some key areas, and we have a program in place where we are striving to achieve $100 million of expense efficiencies by the end of 2027 and we also did mention that the majority of that will show up in 2027 because we also are making investments in AI to make sure that we can achieve those efficiencies.
    Adena Friedman, NDAQ earnings call
  • T4Prepared remarks· CEO· Product-embedded AI
    Across analytics, we're leveraging our gold standard data assets to support our clients' AI strategy. The investment AI-ready data has been adopted by global asset managers, GPs and institutional investors representing over $9 trillion in assets under management. and helped drive a 29% year-over-year increase in Q1 bookings.
    Adena Friedman, NDAQ earnings call
    Productsinvestment AI-ready data
  • T4Prepared remarks· CEO· Standalone AI product
    We continue to lead through advanced AI-driven innovation. Our Agentic-AI workforce is now deployed by more than 500 clients, up 40% since Investor Day.
    Adena Friedman, NDAQ earnings call
    ProductsAgentic-AI workforce, Nasdaq Verafin
  • T4Prepared remarks· CEO· Product-embedded AI
    In Corporate Solutions, AI adoption is strong with 74% of IR Insight users and 51% of Boardvantage users leveraging our AI solutions.
    Adena Friedman, NDAQ earnings call
    ProductsIR Insight, Boardvantage
  • T3Q&A· CEO· Internal use
    Analyst questionparaphrased· TD Cowen· William Katz
    can you maybe step back and help us frame out the Agentic AI capabilities for the Nasdaq platform itself?
    where we're focused is certainly on making sure we're automating key elements of the product development life cycle, making sure we're creating new automations and capabilities for our clients in the client success area in terms of client service, implementations and managing our client interactions as they're working with our systems and our products. And then also, we have other areas across our expert teams, too. We have automation and finance, in marketing, legal, HR, all of those areas have benefits that are coming in from the Gen AI capabilities that we see across the business.
    Adena Friedman, NDAQ earnings call
  • T3Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· TD Cowen· William Katz
    can you unpack some of the growth that you saw in the first quarter from clients just in terms of where you see the greatest uptake around Agentic-AI adoption?
    anti-fincrime is a key area because we have so many ways to automate workflows associated with financial crime management in terms of there's a lot of manual work that goes into investigating potential actors to managing on the regulatory reports. And that -- all of that, we have automation tools around. We're now bringing some of those automation tools into the surveillance area and into the AxiomSL regulatory reporting areas. So we're also kind of building once deploying many in terms of the skills that we're learning from these deployments.
    Adena Friedman, NDAQ earnings call
    ProductsNasdaq Verafin, AxiomSL
  • T3Q&A· CEO· Internal use
    Analyst questionparaphrased· Bank of America· Elias Abboud
    Anthropic's new Mythos model is expected to post significant cybersecurity risks for financial institutions. So as one of the largest bank software vendors, I was wondering if you previewed Mythos and if you can speak to the extent to which the release poses risks or creates liability for Nasdaq.
    We do leverage Bedrock, which is AWS' AI platform infrastructure to support a lot of our AI infrastructure here at Nasdaq as well as we work with Microsoft and like Azure. So we have these great partners that help us make sure that we're protecting ourselves. We do a lot of extra production. And then we will test models extensively before we bring any new models into our infrastructure, we do a lot of testing of models.
    Adena Friedman, NDAQ earnings call
    PartnersAWS, Microsoft, Azure
    ProductsBedrock
  • T3Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· TD Cowen· William Katz
    can you unpack some of the growth that you saw in the first quarter from clients just in terms of where you see the greatest uptake around Agentic-AI adoption?
    in CAP, we have AI deeply embedded in our Boardvantage tool to summarize Board documents and board and also Board agendas to make it so you can auto build board agenda in addition to an IR. So it's kind of everywhere. Some of the products we purposely charge for and some of the products are embedded in the products so that we work with our clients on thinking about the value that they're getting upon renewal.
    Adena Friedman, NDAQ earnings call
    ProductsBoardvantage, IR Insight
  • T3Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Goldman Sachs· Alexander Blostein
    I was hoping you can give us a little more detail on where you're seeing the incremental uptake, particularly within cap markets
    we launched an intelligence suite, which we kind of allow our clients, we have it internally. But basically, a modern way for them to manage all their data within their infrastructure. And that's been a really great, I would say, add-on sale to our clients as they're thinking about how they leverage AI they're leveraging us to kind of help them modernize their data management infrastructure.
    Adena Friedman, NDAQ earnings call
    Productsintelligence suite
  • T3Prepared remarks· CEO· Product-embedded AI
    I would like to call out a key expansion this year of an existing AxiomSL and Calypso Tier 1 bank client that brings our cloud, AI and on Nasdaq strategy to life. In Q1, we completed a significant renewal and expansion of AxiomSL driven by our ability to deliver cloud and AI-enabled regulatory solutions.
    Adena Friedman, NDAQ earnings call
    ProductsAxiomSL, Calypso, Nasdaq Verafin
  • T3Prepared remarks· CEO· Product-embedded AI
    Later this quarter, we will launch our new drug trafficking analytic, which embeds generative AI directly into our models and synthesizes open-source intelligence, social media, and third-party research to help clients more effectively detect potential drug trafficking activity.
    Adena Friedman, NDAQ earnings call
    Productsdrug trafficking analytic, Nasdaq Verafin
  • T3Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· TD Cowen· William Katz
    can you unpack some of the growth that you saw in the first quarter from clients just in terms of where you see the greatest uptake around Agentic-AI adoption?
    AxiomSL, we have some clients that are signing up and going to our cloud-based solutions because we are only offering our AI capabilities through the cloud-based solutions, and they really like the automation that we can bring in from a regulatory reporting perspective.
    Adena Friedman, NDAQ earnings call
    ProductsAxiomSL
  • T3Prepared remarks· CEO· Product-embedded AI
    In the second quarter, we will release our Gen AI platform extension, which connects news and market events to trade data. In beta, this capability has proven to be an effective solution for clients to uncover risks faster and more effectively.
    Adena Friedman, NDAQ earnings call
    ProductsGen AI platform extension
  • T3Prepared remarks· CEO· Product-embedded AI
    we recently introduced our calibration copilot, an AI-powered tool that's enabling clients to optimize workflows, reduce false positives and increase accuracy of detection.
    Adena Friedman, NDAQ earnings call
    Productscalibration copilot
  • T2Prepared remarks· CFO· Product-embedded AI
    The revenue increase was driven primarily by analytics, mainly investment and Datalink, with both businesses benefiting from strong sales momentum, client engagement to the platform's AI capabilities and demand for data to power AI.
    Sarah Youngwood, NDAQ earnings call
    ProductseVestment, Datalink
  • T2Prepared remarks· CEO· Product-embedded AI
    We're also experiencing strong interest in our AI solutions within AxiomSL, including Reg-Copilot, REG Simplify, RegNavigator and REG Investigator, the products we detailed during Investor Day.
    Adena Friedman, NDAQ earnings call
    ProductsReg-Copilot, REG Simplify, RegNavigator, REG Investigator, AxiomSL
  • T2Prepared remarks· CEO· Product-embedded AI
    Within the banking sector, we're experiencing increasing demand for cloud-based mission-critical solutions that include AI features to support workflow automation.
    Adena Friedman, NDAQ earnings call
  • T1Q&A· CEO· Internal use
    Analyst questionparaphrased· Bank of America· Elias Abboud
    Anthropic's new Mythos model is expected to post significant cybersecurity risks for financial institutions.
    I also think as these new models come in, there obviously are going to be new protections that both the LLM providers, but also their partners will provide to make sure that they can be brought in securely.
    Adena Friedman, NDAQ earnings call
  • T1Prepared remarks· CEO· Customer demand signal
    continued capital deployment in AI. Investment in AI continues to be a meaningful driver of economic activity, especially in the United States through large-scale data center and infrastructure build-out.
    Adena Friedman, NDAQ earnings call
  • T1Prepared remarks· CFO· Product-embedded AI
    we are the trusted transformation partner to our clients as they navigate structural shifts in the financial markets and accelerate their AI journey.
    Sarah Youngwood, NDAQ 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 AI-specific revenue contribution despite multiple product-level AI mentions; management did not break out AI-driven ARR separately.
  2. Internal AI efficiency program ($100M target by end-2027) was not updated with Q1 progress metrics or interim milestones.
  3. No disclosure of AI-related capex or R&D spend specific to AI infrastructure build-out.
  4. Agentic-AI workforce deployment metric (500+ clients) was not accompanied by revenue or ACV impact quantification.
  5. No disclosure of the number of AxiomSL clients using AI solutions (Reg-Copilot, REG Simplify, RegNavigator, REG Investigator) despite naming the products.
  6. AI investment AI-ready data adoption ($9T AUM represented) was cited as driving 29% bookings growth but no absolute bookings figure was provided.
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Sourced from primary documents · See the methodology for the extraction approach.