stablecoin M1 M2 classification reshapes the calculus. A long-awaited conversation about where payment stablecoins belong in the plumbing of U.S. money may have just begun in earnest, after two Federal Reserve researchers floated a framework for stablecoin M1 M2 classification. On Sept. 4, Kristen Payne and Mary-Frances Styczynski, staff at the Fed, published a working paper examining whether blockchain-based payment instruments should one day sit alongside cash, demand deposits and retail money market funds in the central bank’s official aggregates. The authors stress the document reflects their personal academic judgment, not a policy initiative, but it is the most granular public attempt yet to map the fast-growing token economy onto a system built long before Bitcoin existed.
The paper matters because money supply statistics are not bookkeeping trivia. M1 is the narrowest measure the Fed publishes and includes currency in circulation and demand deposits that can be spent on demand. M2 adds M1 to savings deposits, small time deposits and retail money market funds. Economists, traders and policymakers watch these series for signals about inflation, liquidity and the stance of monetary policy. Leaving a multi-hundred-billion-dollar asset class out of the picture could distort that signal, and including it incorrectly could be just as misleading. That tension frames the entire debate.
Payne and Styczynski begin with a functional test rather than a technological one. Under their framework, an instrument used mainly as a medium of exchange would normally qualify for M1, while one used primarily as a short-term store of value would land in the non-M1 portion of M2. Payment stablecoins such as USDC, the closest current proxy the researchers cite, blur the line because they can serve both purposes. A token funding a point-of-sale purchase behaves much like a demand deposit, but the same token sitting in a wallet between trades looks a lot like a savings instrument. The authors argue that classification should follow the dominant use observed in data, not the architecture of the ledger.
Liquidity further complicates the picture. The researchers note that blockchain transactions can settle instantaneously, which could, in theory, render payment stablecoins more liquid than the demand deposits that anchor M1 today. Yet speed of transfer does not automatically change the economic function of the asset. A dollar token can move in seconds while still functioning mostly as a parking place for speculative capital. The Fed itself has precedents for redefining categories when behavior shifted. In 2020, the central bank moved savings deposits into M1 after regulatory changes made them more freely transferable through services such as Zelle, a reminder that aggregates are revisited when money itself evolves.
The hard part, however, is double counting. A payment stablecoin is a liability of its issuer, and that issuer backs the token with reserves. Many of those reserves are already counted in the aggregates. If a stablecoin is held in a money market fund that sits inside M2, the underlying money supply figure has arguably already captured the economic claim. Adding the token on top would inflate the measurement. The size of any required adjustment would depend on the composition of each issuer’s reserves, a variable that varies widely across the market. Treasury bills held as backing do not appear in M1 or M2, so the inflation risk rises with the share of bank deposits and retail government money market funds inside the reserve stack.
Data quality is the second hurdle. The GENIUS Act requires permitted issuers to publish details of their reserve holdings, which gives statisticians a starting point. Yet common reporting standards for circulating supply, reserve composition and frozen or inaccessible tokens have not been finalized. The Office of the Comptroller of the Currency has proposed rules covering reserves, redemptions, risk management and supervision, but the rulemaking is still incomplete, leaving a reporting patchwork even after the law is on the books. Without harmonized templates, any aggregate built on top of the disclosures would inherit the gaps.
There is also a geographic problem that no blockchain solves on its own. Public ledgers expose addresses and transactions, but they do not reliably reveal whether the holder is a household in Ohio or a counterparty in Singapore. The researchers warn that separating domestic circulation from cross-border use may require additional reporting or estimation, particularly because a token issued by a regulated U.S. company can move freely through wallets anywhere. For monetary statistics that track the U.S. economy, that ambiguity is a serious measurement risk rather than a curiosity.
For now, the aggregates remain unchanged. The latest H.6 release continues to publish M1 and M2 according to the existing definitions, and no Fed committee is, by the researchers’ own account, actively deliberating an update. The paper is best read as scaffolding for that conversation. It offers a principled way to think about whether a token functions like cash, like a deposit or like a money market fund, and it lays out the data work that would need to happen before any change could be defended in front of Congress or the markets. If stablecoin circulation continues to scale under the GENIUS Act framework, the question of stablecoin M1 M2 classification will move from academic seminar to operational statistic, and the choices made in that transition will shape how the Federal Reserve, and the public, understand the money economy for years to come. Source: crypto.news/stablecoins-could-enter-m1-or-m2-fed-study-says/