Three-lane standards-based AI governance is a framework introduced by Andrew Clearwater in Standards Are the New Legislation (Clearwater, March 2026) (March 2026) to describe three distinct approaches US states are taking to standards-based AI governance simultaneously: an incentive lane (compliance with national standards as a litigation shield), a mandate lane (standards as a direct obligation), and a transparency lane (standards as accountability disclosure). Clearwater characterizes the three lanes as running in parallel and borrowing provisions from one another.
The three lanes
Incentive lane (lane 1, standards as shield). Compliance with a recognized standard creates a legal benefit rather than a requirement. Clearwater cites Texas TRAIGA (HB 149) as the clearest example: compliance with the NIST AI RMF or an equivalent framework provides an affirmative defense against product-liability litigation. The state does not specify what a developer must do; it specifies the consequence of following a standard.
Mandate lane (lane 2, standards as obligation). Some bills require developers or deployers to implement frameworks that incorporate national or international standards. Clearwater points to Illinois SB 3312 (a frontier-model bill), Utah HB 286, and Washington HB 2157. Washington's HB 2157 presumes conformity with the statute where a regulated party follows NIST or ISO/IEC 42001.
Transparency lane (lane 3, standards as accountability). These measures require developers to disclose whether and how they incorporate standards rather than mandating adoption. Clearwater cites California TFAIA / SB 53 and New York as examples; the disclosure requirement creates accountability about standards use without compelling it.
Cross-lane interaction
Clearwater argues that for any organization operating across state lines, the same framework, such as the NIST AI RMF, carries different legal weight depending on where the organization's users are located, and that compliance programs designed for one lane often do not translate cleanly to the others. He also notes that the three lanes borrow from each other: pending and proposed state legislation combines incentive provisions, mandate elements, and transparency disclosures.
Federal preemption context
On December 11, 2025, Trump signed a federal preemption executive order that created a DOJ AI Litigation Task Force to challenge state AI laws considered inconsistent with the federal innovation-first approach. A Commerce Department evaluation of state AI laws was due in March 2026. Section 8 of the December 2025 EO carves out state procurement and governmental use of AI from the preemption scope, the legal seam exploited by California's Trusted AI Procurement EO.
Clearwater's forecasts
Clearwater advances five forecasts in Standards Are the New Legislation (Clearwater, March 2026): (1) standards, rather than federal legislation, will become the primary mechanism for US AI governance; (2) ISO 42001 certification will become enterprise table stakes by 2027; (3) the use of standards as litigation evidence will accelerate (see Standards as Litigation Evidence); (4) NIST crosswalks will function as an interoperability layer for global governance; and (5) practitioners who treat standards as optional will face structural disadvantage in litigation and procurement.
Relationships
- introduced-by: Standards Are the New Legislation (Clearwater, March 2026)
- depends-on: NIST AI Risk Management Framework 1.0, ISO/IEC 42001 — AI Management System
- related: Standards as Litigation Evidence, Standards-Industrial Complex, Procurement-Driven AI Governance
- instance-of: State-Level AI Regulation
- regulated-by: NIST CAISI (Center for AI Standards and Innovation)