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AI: Jobs, Power & Money
17JUL

States write the AI law Congress won't

4 min read
14:01UTC

New York's A9581 passed both chambers on the strength of a Senate vote and now awaits Governor Hochul's signature. California cleared SB 951 through its labour committee 5-0 on Wednesday 10 June. Washington's own federal bill has not moved.

EconomicDeveloping
Key takeaway

New York and California are compelling AI hiring disclosure because the federal bill backing it has stalled in Congress.

New York's A9581, paired with its Senate twin S8706, passed both chambers of the state legislature and awaits Governor Kathy Hochul's signature 1. The bill would require firms with more than 50 employees to file an annual report on how AI affects their hiring. The Assembly had already passed A9581 alone on 3 June ; the Senate vote is the new step that puts the measure on the governor's desk.

The design answers a specific failure. New York's updated WARN Act, the layoff-notification law, became the world's first to require disclosure of AI's role in mass layoffs, and in its first year produced zero attributions from 162 companies covering 28,300 workers. A notice-only law gave firms no reason to attribute, so none did. An annual mandatory report shifts the default from voluntary disclosure to compelled filing, which is why the reporting trigger matters more than the headline.

California advanced three bills in the same week. SB 951, which would require 90-day notice of technological displacement, cleared its Senate labour committee 5-0 on Wednesday 10 June and heads to the Assembly, having already passed the full Senate 28-9 on 6 June . SB 947, the No Robo Bosses Act on automated decision systems, is working through Assembly amendments, and AB 2545, a worker-impact data assessment, reached Senate committee after passing the Assembly on 21 May 2. Colorado's signing of SB 26-189 had already shown state momentum was real .

The state channel is filling a federal vacuum. Senators Mark Warner and Mike Rounds have a disclosure bill, S.3339, endorsed by Microsoft and Google , but it has not moved in Congress. A patchwork of state thresholds raises multi-state compliance cost for large employers, yet if New York and California collect the data, those filings could become the de facto national evidence base that Washington has so far failed to assemble.

Deep Analysis

In plain English

When a company lays off workers in the US, it has to give 60 days' notice under a federal law called the WARN Act. That law requires companies to say how many jobs are going and where, but asks nothing about the cause. New York added a clause requiring disclosure of AI's role in mass layoffs, and in the first year not one of 162 companies covering 28,300 workers cited AI as the reason, even though many of those cuts happened in sectors where AI adoption is well documented. New York's new bill, A9581, tries a different design. Rather than requiring AI disclosure only at the moment of a mass layoff, it requires every company with 50 or more workers to file an annual report on how AI affects their hiring. California's SB 951, SB 947, and AB 2545 advance similar requirements through the state legislature. Forcing a regular annual check creates a paper trail that shows patterns, rather than relying on a moment of crisis when companies have every incentive to say nothing about AI.

Deep Analysis
Root Causes

The federal vacuum has two structural sources. The Warner-Rounds S.3339 bill takes a commission-and-study approach, explicitly avoiding compelled disclosure in favour of a data-gathering exercise. It attracted Microsoft and Google endorsements precisely because it carries no compliance requirement .

The Hawley-Warner S.3108 Clarity Act, which did require AI-layoff reporting, stalled in committee before S.3339 replaced it as the live vehicle. Congress has not passed a compelled AI-employment disclosure law partly because the industry lobby spent $150 million on the 2026 midterms, with the Leading the Future PAC targeting pro-regulation candidates .

The WARN Act's forty-year design gap created the immediate trigger for A9581. The 1988 law required employers to file 60-day notice of mass layoffs but imposed no obligation to attribute the cause.

In 1988, factory closures were assumed self-evident; in 2026, a company can cut 28,300 workers and legally describe every departure as restructuring. New York's own WARN Act layer, added to require AI attribution, produced zero attributions in its first year because voluntary disclosure under a notice-only law generates no incentive to attribute.

What could happen next?
  • Consequence

    New York and California annual AI-hiring reports, if collected and published, would produce the first structured US state-level dataset on AI-attributed hiring changes, filling the gap the WARN Act left and the federal S.3339 bill avoids.

    Medium term · Suggested
  • Risk

    A patchwork of state disclosure thresholds, 50 employees in New York against the 25-percent-workforce trigger in California SB 951, raises multi-state compliance costs for large employers with operations across both states.

    Short term · Assessed
  • Precedent

    The state-channel strategy mirrors the pre-1988 WARN Act period when state advance-notice laws preceded the federal floor; as before, state data collection could force a federal response or invite federal pre-emption.

    Long term · Suggested
First Reported In

Update #13 · Washington pulls a live AI model

Bloomberg Law· 13 Jun 2026
Read original
Causes and effects
Different Perspectives
Stanford's 'We Must Act Now' signatories
Stanford's 'We Must Act Now' signatories
More than 200 academics, including 16 Nobel laureates, published a 13 July letter warning of AI-driven labour disruption, citing Daron Acemoglu's NBER estimate that AI's total factor productivity gain stays under 0.66% over ten years. The letter's own cited economics sit well below Goldman Sachs Research's 1.5-percentage-point estimate published the same week.
Germany / the Bundesrat
Germany / the Bundesrat
Germany's Bundesrat acted on the EU AI Act's employment provisions on 10 July, more than a year ahead of the Act's 2 December 2027 enforcement deadline. Germany is moving on statutory AI-employment disclosure while the US Congress and Federal Reserve have no equivalent instrument.
Indian IT services sector (TCS, HCLTech, Wipro)
Indian IT services sector (TCS, HCLTech, Wipro)
TCS cut 19,271 roles and HCLTech cut 3,292 in the same reporting week that Wipro's headcount rose by 888 under its own zero-fresher-hiring pledge for FY27. The divergence shows attrition, not layoffs, is how India's outsourcers absorb AI-driven project compression while their net headcount numbers stay ambiguous.
Federal Reserve
Federal Reserve
Barr said on 14 July there is little evidence of AI displacement, citing a 43-versus-10 adoption gap by education; Cook said the next day the dire predictions have not come to fruition, her text carrying none of the bond-spread language she used in May. The Fed reads AI's labour effect through national aggregates, where four banks' cuts remain statistically invisible.
Barclays
Barclays
Barclays economist Pooja Sriram flagged a 28,000-a-month bleed in finance and information roles the same week Microsoft disputed that AI drove its own 4,800 cuts. The bank treats Challenger's AI-attribution share as a lagging indicator against faster erosion visible in raw labour-market data.
European Commission
European Commission
Brussels deferred the Digital Omnibus's Annex III employment-compliance deadline from 2 August 2026 to December 2027, even as California advanced three binding AI-hiring bills the same week. The 17-month delay leaves EU workers without the algorithmic-hiring safeguards the regulation already promises.