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WireSift Research · AI Adoption Tracker · Q1 2026

MAMastercard Incorporated

AI adoption · Q1 2026 earnings call

FinancialsScaling
AI mentions
11
extracted from this call
Max specificity
4 / 5
quantified with specifics
AI revenue
Not disclosed
no breakout in this call
Mastercard discussed AI across multiple dimensions on this call: as an enabler of its value-added services (fraud, cybersecurity, consumer insights), as a strategic infrastructure layer for agentic commerce, and as a driver of new product development including a new generative AI foundational model built with NVIDIA. Management highlighted deepening partnerships with OpenAI, Google, and Microsoft around agentic payments, and noted that nearly all Mastercards globally are now enabled for Mastercard Agent Pay. AI-related commentary was substantive but largely operational and strategic, with limited financial quantification of AI-specific revenue contribution.
Public Company AI Adoption Index
Adopter
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Composite
60/ 100
#59 non-tech · #115 overall · #23 in Financials
Depth · 40%
78
stage: scaling · max spec: 4
Disclosure · 40%
40
2 quant outcomes
Breadth · 20%
65
2 scopes
Adoption scopes:product_standaloneproduct_embedded
Every claim, sourced

11 AI mentions from this call.

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

  • T4Prepared remarks· CEO· Standalone AI product
    more than 500 customers are already engaged using the product, partners have taken down malicious domains responsible for the payment card -- impacting over 10,000 e-commerce sites.
    Michael Miebach, MA earnings call
    PartnersRecorded Future
    ProductsMastercard Threat Intelligence
  • T3Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Wolfe Research· Darrin Peller
    we're all hearing about instances of fraud picking up around AI on payments. Are you seeing that inflection in demand really pick up pace for your value-added services and offerings around cyber and fraud.
    AI has been around for some time now. 2023 was really where it started to really accelerate. So bought Recorded Future in 2024, that was already with a perspective on, we got to look at broader threat vectors because companies -- our customers in our space, in the payment space, for them, it's very hard to defend. You cannot really outspend against all threat vectors. So we needed to have reliable information that we could give them that says, well, here's where your biggest risk is.
    Michael Miebach, MA earnings call
    PartnersRecorded Future
    ProductsMastercard Threat Intelligence
  • T3Prepared remarks· CEO· Product-embedded AI
    In March, we announced a new foundational generative AI model, leveraging capabilities from NVIDIA. Trained on our vast data sets that will help anticipate behaviors being the scope of traditional models, spotting unusual activity, predicting where a cardholder may spend next and signaling shifts in consumer behavior. These insights can then be embedded across our products or power new use cases. This early-stage work is very exciting.
    Michael Miebach, MA earnings call
    PartnersNVIDIA
    Productsfoundational generative AI model
  • T3Prepared remarks· CEO· Standalone AI product
    Our payment solutions are ready and we are engaged shaping what comes next with key players, including Google, Microsoft, OpenAI and other partners across the ecosystem. We're deepening our partnership with OpenAI, reinforcing their use of Mastercard Agent Pay, working to enable agent-to-agent payments and collaborating to embed our services across their solutions while using their tools as an enterprise customer.
    Michael Miebach, MA earnings call
    PartnersGoogle, Microsoft, OpenAI
    ProductsMastercard Agent Pay
  • T3Prepared remarks· CEO· Standalone AI product
    we announced a partnership with Craftsman, a leading blockchain infrastructure platform. Craftsman will integrate Mastercard Agent Pay and verifiable intent to enable secure Mastercard transactions AI agents in its ecosystem. This will initially launch on the Open Claw platform with plans to expand.
    Michael Miebach, MA earnings call
    PartnersCraftsman
    ProductsMastercard Agent Pay, verifiable intent
  • T3Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Wolfe Research· Darrin Peller
    we're all hearing about instances of fraud picking up around AI on payments. Are you seeing that inflection in demand really pick up pace for your value-added services and offerings around cyber and fraud.
    in a world of geopolitical tensions and so forth, you can also see that a lot of governments are focused on this space. asymmetrical warfare, state actors, all of that is going on and recorded future puts Mastercard in a very unique position to be a trusted partner to provide those kind of insights.
    Michael Miebach, MA earnings call
    PartnersRecorded Future
    ProductsMastercard Threat Intelligence, malware intelligence, autonomous threat operations
  • T3Prepared remarks· CEO· Standalone AI product
    we launched verifiable intent, a tamper-resistant record of what a user authorized when an AI agent acts on their behalf. In fact, the FIDO Alliance is now using it as a foundation for setting security standards in this space.
    Michael Miebach, MA earnings call
    PartnersFIDO Alliance
    Productsverifiable intent, Mastercard Agent Pay
  • T3Prepared remarks· CEO· Standalone AI product
    nearly all Mastercards around the world are now enabled for Mastercard Agent pay.
    Michael Miebach, MA earnings call
    ProductsMastercard Agent Pay
  • T2Q&A· CEO· Standalone AI product
    Analyst questionparaphrased· JPMorgan· Tien-Tsin Huang
    Just wanted to ask on the agentic side if that's okay in Mastercard Agent Pay, Michael, you talked about some of the partners and some activity on the ground. But can you just give us a little bit more detail on volumes or any surprises with respect to actual activity or actual demand.
    And then I haven't even started to talk about agents in the B2B space. So you heard us talk about Agent Suite, which we started to launch where we're going to get into the business of building agents with our customers in the B2B space, et cetera. So early stage on B2B earlier than on the consumer side, but I would think this is a much bigger opportunity and it fits right into our focus on commercial payments.
    Michael Miebach, MA earnings call
    ProductsAgent Suite, Mastercard Agent Pay
  • T2Q&A· CEO· Standalone AI product
    Analyst questionparaphrased· JPMorgan· Tien-Tsin Huang
    Just wanted to ask on the agentic side if that's okay in Mastercard Agent Pay, Michael, you talked about some of the partners and some activity on the ground. But can you just give us a little bit more detail on volumes or any surprises with respect to actual activity or actual demand.
    In terms of where volumes are, we're still at early stage. So that is also true because a few things were not quite in place yet. So the question of what goes wrong, I talked earlier about disputes. What goes wrong in an agent transaction, how do you prove that? So the significance of verifiable intent cannot be underestimated.
    Michael Miebach, MA earnings call
    PartnersGoogle
    ProductsMastercard Agent Pay, verifiable intent
  • T2Prepared remarks· CEO· Product-embedded AI
    our differentiated value-added services and solutions, powered by data from our networks and AI, we have curated unique services that make the network secure, drive more payments and help our customers make smarter decisions.
    Michael Miebach, MA earnings call
    Productsvalue-added services and solutions
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 within VAS despite AI being cited as a key driver of VAS growth.
  2. No disclosure of capex or opex specifically allocated to AI model development or AI infrastructure.
  3. Mastercard Agent Pay volume described as 'early stage' with no transaction count, GMV, or revenue figure provided despite direct analyst question (JPMorgan).
  4. New generative AI foundational model with NVIDIA described as 'early-stage work' with no timeline to commercialization or revenue impact.
  5. No quantification of productivity or cost savings from internal AI use.
  6. Mastercard Threat Intelligence customer count (500+) provided but no associated revenue or ARR disclosed.
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Sourced from primary documents · See the methodology for the extraction approach.