Here are my Takeaways from the Moody’s Q3 Earnings Call:
The results speak for themselves: For the first time Moody’s has reached US$2bn in revenue per quarter; revenue growth: a commendable 11%- The Q3 2025 transcript confirms a paradigm shift:
- AI is becoming the delivery mechanism of ratings discipline
- Data quality is no longer a bottleneck but a brand promise
- AI moves from operational efficiency to leading revenue growth
- Recent problems with due diligence in the US$2Tn private credit sector will most likely lead to a rethinking of investors in transitioning to regulatory transparency and more business
- The next frontier is co-governance of private-credit data between investors, rating agencies, and regulators
The In discussions with analysts a confident CEO Rob Fauber outlined what AI does and will do for Moody’s:
AI as a Revenue Engine – Not a Risk Factor
Barclays analyst Brendan Popson’s question went straight to the heart of the debate: will AI cannibalize Moody’s Analytics by decoupling data from paid access?
CEO Rob Fauber’s response was categorical: Moody’s contracts have never been seat-based and will not become so. Instead, the company’s “agentic” model monetizes data intelligence, not user licenses.
“We now have something like 20 AI-enabled applications… 50 domain-specific agents leveraging our proprietary data… we meet customers where they are, whether in our workflows, partners’ platforms, or embedded in their internal AI orchestration.”
In other words, Moody’s is converting its data estate into a platform economy, transforming proprietary datasets and methodologies into machine-readable APIs, connectors, and agentic tools that power client decisions in real time.
Rather than fearing AI disintermediation, Moody’s sees it as the next monetization tier of its intellectual property.
KYC and Data Sovereignty – The Competitive Moat
In response to Wells Fargo’s question on KYC datasets, Fauber outlined why Moody’s is structurally insulated from generic AI competitors:
“We cleanse and normalize Orbis data, link it to politically exposed persons and risk-relevant individuals, and combine that with our beneficial-ownership hierarchy. That gives our customers a 360-degree view that’s relatively unique.”
This was a subtle rebuke to the notion that AI can “web-scrape” its way to parity with Moody’s data quality. Unlike the disjointed data landscape plaguing private-market investors, Moody’s datasets are curated, permissioned, and regulated.
That data governance architecture, linking entities, ownership, and reputational risk, is exactly what private-credit investors lack today.
Private Credit: The Return of Ratings Discipline
Wolfe Research’s Scott Wurtzel asked the pivotal question: is stress in private credit now driving demand for ratings? Fauber’s answer was both empirical and philosophical:
“We’ve been talking… about how important it is to have a rigorous third-party independent assessment of credit risk in the private-credit market. That was the driver behind our partnership with MSCI.”
Fauber confirmed that as defaults creep upward and cost differentials widen (200–400 bps cheaper to refinance in public markets), issuers are migrating back toward rated transparency. In effect, Moody’s is positioning itself as the steward of normalization, bridging unregulated private credit with standardized, rated capital markets.
This is a tacit acknowledgment that the $2 trillion private-credit experiment, built on fragmented and unverified data, must realign with the discipline of audited ratings and shared taxonomies.
Why Investors Will Rethink Oversight
The subtext running through the entire transcript is unmistakable. The private-credit boom, fueled by cheap liquidity and opaque structures, has reached its cognitive limit. Investors are discovering that managing bespoke loans without standardized data, shared analytics, or independent due diligence is a systemic handicap.
Moody’s, by contrast, offers what the private sector has been missing:
- Data lineage and verifiable provenance
- Embedded AI tools that automate credit surveillance and early-warning signals
- Regulatory-grade transparency acceptable to central banks and capital-market supervisors
As Fauber phrased it, AI “is an unlock,” not a risk, but only when rooted in structured, compliant data. That makes the traditional rating agencies natural partners for investors and regulators seeking to make private credit safer, more transparent, and more profitable.
The Larger Significance
The Q3 2025 transcript confirms a paradigm shift:
- AI is becoming the delivery mechanism of ratings discipline.
- Data quality is no longer a bottleneck but a brand promise.
- The next frontier is co-governance of private-credit data between investors, rating agencies, and regulators.
In the vacuum left by fragmented reporting and unverified performance data, Moody’s is emerging as the “information backbone”, fusing trusted credit data with agentic AI to rebuild market confidence. If private credit is to mature into a permanent asset class, its foundations will have to look a lot more rating based knowledge rather than what 
investors will be able to do by themselves.
Question: With all the ‘fire power’ of the rating agencies, where will this leave the smaller business information players, such as Dun & Bradstreet etc., etc.
Source: Intrepid Explorers, LLC. – Research
About this Article: At Intrepid Explorers, LLC, we hold fast to the belief that “Data is not Information, and Information is not Knowledge.” In today’s algorithmic age, truth and understanding still demand human insight. We live in a world awash with data yet starving for meaning. Our mission is to bridge that divide — transforming noise into signal, and information into the kind of knowledge that drives foresight, trust, and sound judgment. We don’t chase trends; we help to interpret them. We rely on AI-backed research to distill complexity into clarity — almost just in time — while balancing every digital advance with decades of industry experience. Because at the end of the day, technology amplifies capability, but it is the human factor that provides wisdom, context, and integrity.
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