MCOMoody's Corporation

“rated issuance surpassed $2 trillion for the first time, and that was led by near record investment-grade volumes, including several jumbo AI-related financings totaling more than $100 billion.”

“our AI-enabled lending suite continues to gain traction as banks modernize end-to-end credit workflows. ARR for our lending suite grew 18% year-over-year, was driven by customers upgrading to an integrated platform that spans origination, decisioning and monitoring. And what's driving adoption is workflow integration and AI enablement. So the faster decisions, greater consistency, clear auditability.”

“I mentioned kind of $100 billion-ish hyperscaler issuance through the first quarter. That's a big number, and that's getting close to what we were thinking of for the full year for 2026. So it is possible there's some upside to that through the balance of the year.”

“the AI enablement really picked up in the back half of last year. As Noemie said, there was a lot of foundational work that we had done that put us in a very good position. We also had to work through our risk teams and make sure that we're going to deploy that in the appropriate way across ratings. And then it's not only about efficiency, and I appreciate you acknowledging that. But it's also going to be about inside as well. I mean, as Noemie said, we're capturing more and more structured and unstructured information across our entire ecosystem. And we're already seeing that that's going to give us new insights for our analysts that are going to support ratings quality as well as new research insights.”

“when it comes to, hey, I've got an AI model that's actually going to make a decision about who's going to get a loan, who's going to get an insurance policy at what price, what a credit rating might be, there's a lot more sensitivity around that, as you'd expect, because there's questions about the model -- does the model have bias, how is the model being governed, what kind of data is going into the model? Is there a human in the loop?”

“we've been able to deliver on $2 trillion of issuance this quarter and still expand our margins. We've talked a lot about the investments we've made over the past few years on technology and now so technology, workflow automation, for all the works and steps that precede the ratings committee, where the analysts actually gather and discuss and make decisions and the work that preceded that was automated over the past few years.”

“With Anthropic for licensed users, our agentic credit and compliance workflows are now available natively inside the cloud interface through something called an MCT application. And that's the first of its kind as far as we're aware, and it enables users to access Moody's agents to perform analysis, generate outputs and trade sources without leaving the [ Claude ] environment.”

“now we're adding AI to those workflows in large parts of our analyst groups to help allow them in areas like financial statement spreading, data gathering, all the information, again, that precedes the the Ratings Committee moment where it's a lot of human in loops discussing and talking about different industry sectors and what they're observing.”

“over the last several weeks, we announced a set of partnerships that significantly extend our distribution without compromising governance or independence, and through model context protocol integrations, Moody's license intelligence can now be accessed directly within enterprise AI environments such as ChatGPT Enterprise and Claude”

“we have a very active dialogue with our regulators, and they want to understand how we are thinking about deploying and using AI and they want to make sure that they are a very strong control environment around all of that. There's I'd say, heightened sensitivity for sure around the use of AI to actually be making decisions.”

“we've seen that it takes a little bit longer for adoption with these big regulated institutions because they've got to satisfy not only their internal environment, but make sure that the third parties that they're working with have the same kind of controls and governance that their regulators are going to expect of them.”

“by making our agentic solutions available through the AWS marketplace, we're meeting customers inside their existing cloud and procurement ecosystems, reducing friction by allowing customers to burn down their AWS commit when consuming Moody's agents and intelligence.”

“margins are expected to continue improving as efficiency initiatives scale, including usage of AI-enabled tools that lower unit costs in product development and tighter alignment of sales capacity to our highest growth opportunity with full benefit building into 2027.”

“Moody's scaling workflow embedded distribution by launching a dedicated Moody's agent in Microsoft 365 CoPilot and making Moody's intelligence available as a grounding data source across CoPilot experiences. That's CoPilot Chat, Researcher, Copilot and Excel.”

“2 government tax authorities, one, supporting national scale fraud detection and tax compliance across thousands of users and the other powering AI-driven tax risk assessment and transfer pricing enforcement, selected Moody's as their long-term data partner.”

“We're streamlining credit workflows, so analysts can spend more time on credit analysis and less time gathering and formatting information, while maintaining the controls and human judgment regulators and the market expects.”

“Investment grade revenue within Corporate Finance was driven by a record first quarter and the second highest quarter ever for issuance, including several jumbo transactions from hyperscalers and other technology issuers.”

“Issuance from the top 5 hyperscalers year-to-date has already exceeded full year 2025 levels.”

“our full year guidance remains unchanged across revenue, adjusted operating margin and adjusted diluted EPS. Our base case assumes the current market turbulence is largely contained to April with issuance recovering through Q2 and Q3 on the back of ongoing refinancing needs, a healthy M&A pipeline and sustained demand for high-quality investment-grade issuance, including AI-related financing.”

“we have customers who are also looking to take the data directly into their own AI, internal AI workflow orchestration platforms at their institution. We have, I would say, a number of large financial institutions who are trialing, I'm going to call this our agent ready data through either the MCPs directly into the institution or through one of these channels.”

“if they want to bring our intelligence into the corporate and investment bank, we need to make sure that there's an arrangement and a license that allows them to access that content across that entire division as opposed to in the past, we may have had been serving different use cases in different parts of the bank.”

“issuance remains anchored in long-term funding needs tied to AI-driven infrastructure, private credit, energy transition in emerging markets. And these are multiyear funding needs. They're not short-term cycles.”

“we have a growing pipeline of some of the world's largest financial institutions to consume our agent ready intelligence, and that's supported by further expansion with our hyperscaler and AI partners”

“her leadership materially strengthens our ability to accelerate execution in an increasingly AI-driven world, and I'm very excited about having her join us in June.”

“these are bring-your-own license models. They expand reach and usage but preserve our direct relationship with our customer.”

“Funding needs tied to the energy transition, transportation and AI-related infrastructure remain key demand drivers.”

“evidence that our solutions remain mission-critical as customers modernize their workflows, including with AI.”