California's Business Lobby Just Declared War on Five AI Bills. Here's What Each One Does.
Last updated: April 7, 2026
By Don Ho, Esq. | April 7, 2026 Last updated: April 2026
The California Chamber of Commerce placed five AI bills on its 2026 Affordability Agenda “cost-drivers” kill list, targeting legislation covering workplace technology, layoff notices from automation, healthcare AI bans, patient disclosure rules, and utility decision systems. The California Chamber of Commerce dropped five AI bills onto its Affordability Agenda cost-drivers list on April 6. That’s the kill list. When CalChamber puts legislation on the cost-drivers list, it mobilizes one of the most organized business lobbies in the country to oppose it. These bills are now targets.
But the fight over these five bills tells you something bigger about where AI regulation is headed in California. The state is splitting into two camps, and neither one is wrong. Businesses need AI tools to compete. Workers and patients need protection from AI systems that make consequential decisions without oversight. The bills CalChamber just flagged sit right on that fault line.
Here’s what each one actually does, who it affects, and whether it has a chance of surviving.
AB 2027: The Workplace Technology Bill That Spooked the Chamber
Assembly Bill 2027, authored by Assemblymember Christopher Ward (D-San Diego), would impose significant new barriers to creating or improving workplace technology. CalChamber’s language was blunt: “significant barriers.” That phrase from the state’s largest business association means they believe the compliance costs would be severe enough to discourage adoption of AI workplace tools entirely.
The bill targets automated systems used in workplace management, from scheduling algorithms to performance monitoring. If you operate a California business with more than a handful of employees and you use any software that automates workforce decisions, this bill is aimed at you. Several other states are moving in the same direction — the wave of workplace AI bills in 2026 shows California isn’t an outlier, it’s a leading indicator.
The tension here is real. Automated scheduling systems have documented problems with predictability for hourly workers. Performance monitoring tools have raised privacy concerns across industries. AB 2027 attempts to address those concerns. CalChamber’s position is that it overshoots.
SB 951: Expanded Layoff Notices When Technology Replaces Workers
Senate Bill 951 from Senator Eloise Gómez Reyes (D-San Bernardino) would significantly expand California’s existing WARN Act obligations when staff reductions result from technology adoption. Current law requires 60 days’ notice for mass layoffs affecting 50 or more employees. SB 951 would widen the trigger.
This is the bill that should get the attention of every mid-market company planning AI-driven workforce restructuring in 2026 and 2027. If your automation roadmap includes headcount reductions, SB 951 changes the timeline and disclosure requirements for how you execute those plans. Companies are already facing liability exposure from AI-driven hiring and HR decisions — Workday’s class action over AI hiring bias is a preview of the plaintiff theories heading your way.
The business argument against SB 951 is straightforward: longer notice periods and broader triggers slow down the ability to restructure. The labor argument is equally straightforward: workers deserve more warning when technology eliminates their positions. California has historically sided with workers on notice requirements. This one probably has legs.
AB 1979: A Flat Ban on AI in Healthcare Professional Judgment
Assembly Bill 1979 from Assemblymember Rob Bonta (D-Alameda) takes the most aggressive position of the five. It seeks to ban AI-related healthcare tools for any activity involving professional judgment. Read that again: a ban, not a disclosure requirement, not an audit mandate. A prohibition.
The healthcare AI market in the United States is projected to exceed $45 billion by 2027. California is the largest state market within that total. AB 1979 would carve out a massive exception to AI deployment across the state’s healthcare system for any tool that touches clinical decision-making.
The practical question is where the line sits between “professional judgment” and administrative support. Diagnostic AI that recommends treatment options clearly falls within professional judgment. But what about AI that prioritizes patient intake queues based on symptom severity? What about tools that flag potential drug interactions from a patient’s medication list? The bill’s definitions will determine its actual impact, and the definitions in the current draft are broad enough to sweep in tools that most providers would consider administrative.
If you’re a health system, health tech company, or digital health startup operating in California, AB 1979 is the bill to watch.
AB 2575: Disclosure and Liability Rules for Healthcare AI
Assembly Bill 2575 from Assemblymember Liz Ortega (D-San Leandro) takes a different approach from AB 1979. Instead of banning healthcare AI, it imposes disclosure and liability requirements. CalChamber called the rules “unworkable.”
The unworkable label usually means one of two things: the compliance requirements are technically impossible to meet, or the liability exposure is so broad that no reasonable company would accept the risk. In this case, it appears to be both. The bill would require real-time disclosure to patients when AI tools are used in their care and would create new liability theories for healthcare providers when AI-assisted decisions produce adverse outcomes.
The disclosure piece is technically challenging. Most healthcare AI operates as embedded decision support within electronic health record systems. Flagging every AI-assisted recommendation to a patient in real time, during a clinical encounter, is operationally complex. The liability piece is legally complex. Current medical malpractice law assigns liability based on the standard of care. AB 2575 would create a separate track for AI-related harm.
SB 1011: Automated Decision Systems for Utilities
Senate Bill 1011 from Assemblymember Jerry McNerney (D-Pleasanton) targets automated decision systems used by California utilities. This includes systems used for emergency responses, grid management, and service allocation.
CalChamber’s specific concern is that the burdens SB 1011 imposes could interfere with rapid emergency responses. That’s a substantive objection. When a wildfire threatens a utility’s service area, the automated systems that manage power shutoffs and resource allocation need to operate fast. Adding compliance requirements to those systems during emergencies creates a real operational tension.
The broader context matters here. California’s utility sector has been under intense scrutiny since the PG&E wildfire settlements. Automated systems play an expanding role in how utilities manage risk. SB 1011 responds to legitimate concerns about algorithmic accountability in a sector where errors can be catastrophic.
What This Fight Tells You About 2026
CalChamber’s Affordability Agenda now includes 26 bills it considers cost drivers. Five of those are AI-specific. That ratio tells you how fast AI regulation has moved from a niche technology policy concern to a core business lobby priority. This mirrors the pattern in Colorado, where business pushback delayed the state’s AI law because companies couldn’t figure out compliance.
The White House released its National AI Legislative Framework on March 20, calling for federal preemption over state AI laws. California legislators are moving in the opposite direction, passing state-specific AI obligations that may or may not survive a federal preemption challenge. Governor Newsom’s own procurement executive order is already creating de facto national standards, even as the Chamber fights the legislative agenda. The result is the worst possible outcome for compliance teams: simultaneous pressure from state legislators to comply with new obligations and federal signals that those obligations might be preempted. The broader regulatory patchwork keeps growing in the meantime.
Five bills on the kill list and the landscape is still shifting. Take the ACRA to check your compliance posture against what’s coming.
What to Do Now
If you operate in California and use AI in your workforce management, healthcare delivery, or utility operations, track these five bills through committee. CalChamber’s opposition increases the odds of amendments, but none of these bills are dead.
Build your compliance timeline around a June or July committee vote. If any of these bills clear both chambers, California’s governor will face signing decisions on AI regulation that could set the template for other states.
The companies that will be least disrupted are the ones mapping their AI deployments against pending regulatory requirements now, not after the governor signs something.
Five AI bills on the kill list and the compliance clock is already running. If you’re deploying AI in California workplaces or healthcare, you need a regulatory strategy that survives whatever the legislature passes. Kaizen AI Lab builds exactly that. Start here.