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K-1 Infrastructure Series Part 4: The 401(k) Wave and the K-1 Wall

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BY Scott Turner
August 28

The 401(k) Wave and the K-1 Wall

In brief: The comforting assumption — retirement savers will never see a K-1, so the K-1 problem is not a retirement problem — has it backwards. Complexity that savers never see does not disappear; it moves into the retirement system, where tolerance for ambiguity is lowest. A modest allocation shift could add roughly 20 million K-1s above baseline by 2028, arriving through intermediaries with fiduciary expectations the current infrastructure was never designed to meet.


Sources: Executive Order 14330, “Democratizing Access to Alternative Assets for 401(k) Investors,” White House, Aug. 7, 2025; U.S. Department of Labor proposed rule and Federal Register notice, Mar. 30–31, 2026; Reuters coverage, Mar. 30, 2026. K-1 volume baseline: IRS Statistics of Income, Publication 6961 (~45M K-1s filed, 2024; ~50M projected by 2028). The $10T 401(k) asset base, 10% allocation scenario, $50K average entity-level K-1-generating position size, ~20M incremental K-1s, and ~71M 2028 planning case are internal planning estimates and should be read as scenarios, not forecasts.

Now read article 5: Common Rails for a Common Problem

About Author

Aaron Bartrim has spent his career at the intersection of technology and people, building systems that enable entire industries.

As CTO of Early Warning Services, he led the build-out of Zelle®, taking real-time payments from concept to a network serving more than 1,000 financial institutions, proving that speed and safety aren’t a trade-off when the system is designed for both. Earlier, as CTO of eFunds and a senior leader at FIS, he built the payments and integration infrastructure connecting banks to their customers. As CTO of Capital Markets Gateway, he brought that same discipline to equity capital markets, replacing decades of manual workflows with a connected digital platform.

Few technologists have taken an entire industry through that kind of change more than once. That experience of enablement at scale, done safely, is the lens he brings to AI: the next system industries will quietly depend on.