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California’s newly signed workplace measures address two different risks: automated systems helping decide whether an individual worker is disciplined or fired, and advance notice when technology displaces workers. They do not ban employers from using AI or prevent layoffs. A separate state executive order directs agencies to study possible workforce responses; it does not itself guarantee displaced workers new benefits.
What the new California laws do—and do not do
Governor Gavin Newsom’s September 30, 2026 announcement lists two workplace measures: SB 947, concerning automated decision systems, and SB 951, concerning notice of technological displacement. Their focus is narrower than the fear that AI will take jobs: one concerns automated assistance in decisions about a worker; the other concerns notice when technology displaces workers.
| Measure | What it addresses | What the available source says |
|---|---|---|
| SB 947 | Automated systems involved in discipline or termination decisions | Senator Jerry McNerney’s office describes human oversight, verification, and notice when an automated decision system was used. The senator’s office release is a sponsor’s summary, not a substitute for the enacted statute. |
| SB 951 | Notice relating to technological displacement | A California Senate committee analysis describes 90-day advance notice and written notice to workers and the Employment Development Department before AI-driven mass layoffs. That committee analysis is not the final enrolled law. |
| May 2026 executive order | State planning for possible AI-related workforce disruption | Agencies are directed to study impacts and explore policy responses; the order does not itself create all the benefits or programs it asks agencies to consider. The Governor’s announcement describes the effort. |
The distinction matters: decision safeguards, displacement notice, and state workforce planning are separate things. Neither bill, as described in the available official summaries, establishes a general prohibition on workplace AI or guarantees that a position will be preserved.
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According to Senator McNerney’s office, SB 947 bars an employer from relying solely on an automated decision system (ADS) to discipline or terminate a worker. The office says that when an ADS assists such a decision, the employer must provide human oversight and verification, and must notify the worker if the system was used.
In practical terms, the sponsor’s description points to human involvement in consequential decisions—not a promise that an employee cannot be fired. It also does not describe a ban on using AI for other workplace tasks. McNerney summarized the goal this way: “AI must remain a tool controlled by humans, not the other way around.”
For a specific dispute or employer compliance question, consult the enacted SB 947 text and official implementation guidance. The sponsor’s release provides a useful summary, but not all statutory definitions, exceptions, or effective-date details.
What notice may be required when technology displaces workers?
The Governor’s signing announcement identifies SB 951 as “Employment: technological displacement: notice.” A California Senate committee analysis dated April 8, 2026 describes the proposal as requiring 90 days’ advance notice before technological displacement, as well as written notice to workers and EDD before mass layoffs driven by AI.
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1Scan for outdated or missing drivers - takes under a minute2Repair Windows errors before they cause bigger problems3Fix the driver behind crashes, sound loss and screen glitchesThose details come from committee-stage analysis, not the final enrolled statute. The available account does not establish the enacted law’s complete scope, covered employers, exemptions, deadlines, or effective dates. Workers and employers should check the enacted text and current official guidance before relying on a particular notice deadline or asserting that a specific layoff is covered.
The analysis presents advance notice as a way to give affected workers time to adjust and transition. Notice is not a guarantee against layoffs, a promise of retraining or severance, or replacement income.
What California is exploring beyond the signed laws
In a separate May 21, 2026 executive-order announcement, Newsom directed state agencies to prepare for possible AI-related workforce disruption. The work includes developing early-warning signals, collecting data, and recommending possible revisions to the California WARN Act. Agencies are also asked to examine potential approaches involving transition support, training, severance standards, employment insurance, and worker ownership.
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These are areas for agency study and policy development, not a list of benefits that every worker displaced by AI can already claim. Newsom described the effort as an initial step: “Today is just the first step as we rewrite policy and direction, creating a future of work that works for all.”
What the state’s AI-and-unemployment data can show
EDD’s AI-Unemployment Tracker is intended as an early-signals tool. It groups unemployment-insurance (UI) claims by occupational AI exposure, using two different measures:
- Potential exposure: whether large language models may reduce the time needed for tasks in an occupation by at least half.
- Observed exposure: the extent to which tasks are performed using Anthropic’s Claude, according to the tracker’s usage measure.
For August 2026, EDD reported a three-month average of about 52,200 initial claims in occupations with high potential AI exposure, about 1.2% lower than the prior month’s three-month average. It reported about 71,800 initial claims in occupations with high observed AI exposure, about 1.0% lower than the prior month’s three-month average. These are preliminary administrative measures reported by California EDD, not counts of layoffs caused by AI.
The two figures should not be combined or treated as rival estimates of one population: the measures classify occupational exposure differently. Exposure does not establish that AI caused a particular person’s unemployment, and the tracker does not provide a definitive statewide count of AI-caused job losses.
EDD notes that its claims data may omit people who do not claim UI, find work quickly, leave the labor force, are ineligible, or are self-employed. Occupation codes are self-reported, low-count cells may be suppressed, and figures may be revised. The tracker is descriptive, not causal evidence.
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- Identify the issue. If an automated system influenced an individual discipline or termination decision, look to SB 947. If technology is displacing a group of workers, look to SB 951 and the applicable notice rules.
- Check the enacted statutory language. Use the California Legislature’s official bill information and enrolled act rather than relying on a bill summary alone. For SB 951, the linked committee analysis is useful background but does not settle the final law’s coverage or deadlines.
- Look for current agency guidance. Consult official Labor Commissioner or EDD information for implementation details before taking action or making a compliance decision.
- Separate a policy proposal from an available benefit. The executive order asks agencies to study and develop recommendations; it does not by itself establish an individual entitlement to training, severance, or income support.
This is a general explanation, not individualized legal advice. The official announcements and summaries cited here establish the measures’ broad subjects, but do not provide all final statutory details or implementation guidance.
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