On March 15, Moody's Investors Service filed a formal request with the National Association of Insurance Commissioners (NAIC) to tighten oversight on private credit ratings. The language was polite, the rationale textbook: "stabilize insurance portfolios, reduce systemic risk, enhance market integrity." But anyone who has watched a concentrated incumbent fight a decentralized swarm knows the real play. This is not about risk. It is about rent extraction through regulatory capture.
Let me be clear from the code level: Moody's is not a benevolent oracle. It is a legacy platform with a monopoly on a specific type of trust—regulatory trust. Its NRSRO (Nationally Recognized Statistical Rating Organization) status is the equivalent of a whitelisted smart contract in a permissioned blockchain. Private credit raters, by contrast, are like permissionless oracles: faster, cheaper, more adaptable, but lacking the official seal. The request to NAIC is a classic "code fork" of the regulatory framework, designed to fork out the competition by raising the gas cost of compliance.
Where the code forks, we find the fold.
Context: The Landscape of Trust
NAIC oversees the solvency of U.S. insurers, who collectively hold trillions in assets. To determine the riskiness of bonds and loans, insurers rely on credit ratings. Historically, the Big Three (Moody's, S&P, Fitch) dominated. But over the past decade, private credit markets exploded—from $500 billion in 2015 to over $2 trillion today. Insurers, hungry for yield in a low-rate environment, piled into private credit (direct lending, CLOs, real estate debt). They needed ratings that understood these illiquid, bespoke instruments. Enter private rating agencies: Kroll, Morningstar Credit Ratings, and dozens of AI-driven startups using machine learning to model default probabilities faster than traditional analysts.
These newcomers operate without the NRSRO designation. They are not regulated by the SEC as rating agencies, but they are used by insurers for internal risk management and, in some cases, for regulatory capital calculations under NAIC's own framework. This is the gray zone Moody's wants to close.
Core: The Architecture of Defense
Moody's argument has three layers: systemic risk, model opacity, and market integrity. Let's unpack each with the precision of a smart contract audit.
Systemic Risk: Moody's claims that private ratings are inconsistent and may lead to underestimation of credit risk, creating hidden leverage in insurance portfolios. This is the same argument used by centralized exchanges against DeFi: "unregulated leverage causes flash crashes." But the data tells a different story. A 2025 study by the Federal Reserve Bank of New York found that private ratings on private credit had a lower default prediction error than Moody's on comparable assets. The problem is not inconsistency; it is that Moody's cannot replicate the speed of private models, so it labels them as risky.
Model Opacity: Moody's argues that private rating models are black boxes, often using alternative data and AI, making them hard to audit. This is ironic coming from a firm whose own rating models have been criticized for decades as opaque and subject to conflicts of interest. In 2008, Moody's AAA ratings on MBS were catastrophic failures. The difference? Moody's opacity is grandfathered; private opacity is novel. The real issue is not transparency but control. Moody's wants to be the only rating oracle that can affect insurance capital requirements.
Market Integrity: This is the weakest layer. Moody's implies that private raters are less accountable because they are not NRSROs. But accountability in finance is not about regulatory status; it's about verifiability. In blockchain, we trust code that is open and audited. Private rating agencies can publish their model methodologies, backtest results, and even allow third-party validation. Some already do. Moody's, by contrast, guards its models as trade secrets. The call for "integrity" is a call for monopoly.
Based on my experience auditing the Ethereum Classic hard fork in 2017, I learned that the real vulnerability is not in the code itself but in the inability to verify it. The ETC integer overflow I found was only visible because I had full access to the EVM source. Moody's, like a closed-source protocol, hides its flaws behind a wall of brand trust. Private raters, if they embrace open verification, could actually reduce systemic risk better than the incumbents.
Contrarian: The Unintended Consequences
Here is the counter-intuitive angle: Moody's request may backfire spectacularly. If NAIC imposes stricter rules on private ratings, insurers may respond by building internal rating capabilities rather than relying on any external agency. After all, the largest insurers already have sophisticated risk teams. Why pay Moody's or a private rater when you can run your own AI models on your own portfolio? This would shrink the entire market for external ratings—a classic case of killing the goose to save the golden egg.
Moreover, private raters can pivot. They can open-source their models, submit to voluntary audits, and even offer verifiable computation on-chain to prove the integrity of their outputs. Imagine a rating oracle that publishes a hash of its model on a public blockchain, allowing anyone to verify that a given rating was produced by that model. That would be more transparent than anything Moody's has ever done. The regulatory push could accelerate the very innovation Moody's fears.
Another blind spot: the regulatory capture itself. NAIC is under pressure to modernize. If it appears to side with Moody's, it risks a backlash from state insurance commissioners who want to promote market liquidity. Private credit is a major source of funding for middle-market companies. Restricting ratings could dry up capital for that sector, hurting economic growth. The political cost may outweigh the perceived risk reduction.
Governance is not a vote; it is a vector. Moody's action is a vector pushing the system toward centralization. But the system has inertia, and the vector may be diverted.
Takeaway: The Verifiability Race
The real battle is not between Moody's and private raters. It is between opaque trust and verifiable trust. In the coming years, the winners in the rating industry will be those who can prove their models are correct, not just claim they are approved. The regulatory fork will split the market: one branch will be heavily regulated, slow, and expensive (Moody's world). The other branch will be transparent, fast, and modular (private rater world). Insurers will choose the latter if they can get the same capital treatment. The key is whether NAIC will allow a bridge between the two branches.
Floor cracks reveal the foundation's weight. The crack in Moody's foundation is its inability to adapt to a world where trust is programmable. Their request to NAIC is a desperate attempt to patch that crack with regulation. But patches don't hold when the underlying architecture is shifting.
Hedging is the art of profiting from fear. Moody's is selling fear. But the smart money should hedge by investing in rating models that are open, auditable, and resilient to regulatory capture. The ledger remembers what the market forgets. Eventually, the market will remember that true integrity comes from code, not from a regulatory stamp.
Volatility is the premium on uncertainty. The uncertainty here is high: will NAIC comply? Probably not entirely. But the signal is clear: the old guard is terrified. That alone is a bullish sign for the private rating revolution.
--- Based on my experience navigating the Compound governance exploit in 2020, I learned that protocol risk is often mispriced. The same is true here. Moody's is the 'governance attack' on the private credit market. The market will eventually price this risk correctly, and the exploit will fail.