Establishes the New York workforce stabilization act; requires certain businesses to conduct artificial intelligence impact assessments on the application and use of such artificial intelligence and to submit such impact assessments to the department of labor prior to the implementation of the artificial intelligence; establishes a surcharge on certain corporations that use artificial intelligence or data mining or have greater than a threshold number of employees displaced by artificial intelligence of a rate of 2% of the corporation's business income base; defines data mining.
A05429, titled the “New York workforce stabilization act,” would create new labor-law requirements for larger employers that use artificial intelligence. Before using AI, covered employers would have to complete an AI impact assessment and repeat it at least every two years, as well as before any material change to the system. The assessment would need to describe the AI’s objectives, how well it is expected to work, the algorithms and training data used, whether it relies on sensitive or personal data, and estimates of both current and expected employee displacement or other workplace effects. Employers would also have to submit the assessment to the Department of Labor at least 30 days before implementing the AI.
The bill also adds a tax-law surcharge on certain corporations. A 2% surcharge would apply to corporations that terminate or substantially reduce the hours of enough employees because of automation, including systems using algorithms, AI, or robotics, with the threshold number of affected employees varying by employer size. A separate 2% surcharge would apply to corporations using AI for data mining. The bill allows the Commissioner of Taxation and Finance, in consultation with the Department of Labor, to waive the worker-displacement surcharge for certain eligible corporations, including businesses facing labor shortages, some agricultural users, and qualifying small businesses that need the technology to remain economically viable. Surcharge revenue would be directed to worker retraining, workforce development, or the unemployment insurance fund.
If enacted, the bill would amend the Labor Law by adding section 201-j and the Tax Law by adding section 186-h. It would impose compliance obligations on employers with more than 100 employees that are not small businesses, and it would create a new tax burden on corporations that use AI in ways tied to workforce displacement or data mining. It would also expand state oversight by requiring reporting, annual waiver disclosures, and administrative collection rules similar to existing sales tax procedures.
The overall sentiment reflected by the bill text is protective of workers and skeptical of unchecked AI-driven automation. The measure is framed as a workforce stabilization effort, and its stated purpose is to monitor and offset job displacement through assessment, taxation, and funding for retraining. No committee transcript or vote record was provided, so there is no additional evidence of support or opposition from legislative debate or floor action.
The main points of contention likely center on the bill’s breadth and economic impact. Businesses may object to the required disclosures, the recurring assessment mandate, and the 2% surcharge on automation-related displacement and data mining, arguing that it could discourage AI adoption or penalize efficiency improvements. Supporters would likely emphasize worker protection, transparency, and funding for retraining, while the waiver provisions suggest an attempt to soften the impact on labor-shortage industries, agriculture, and smaller firms.
The bill would add a new AI-impact-assessment requirement to the Labor Law for covered employers and create new corporate surcharges in the Tax Law tied to AI-driven worker displacement and AI-based data mining. It would also authorize administrative rules for reporting, collection, waivers, and annual legislative reporting, while directing surcharge revenue to labor and workforce programs or unemployment insurance.
The bill’s tone is generally pro-worker and cautious about artificial intelligence in the workplace. It reflects concern about job displacement, data use, and the pace of automation, and it seeks to use both regulation and taxation to slow or offset those effects. No vote history or committee transcript was provided, so there is no documented legislative sentiment beyond the bill’s text and framing.
Likely areas of contention include whether the bill would burden employers, especially larger firms using AI for efficiency, and whether the surcharge could discourage innovation or automation. Business interests may also object to the broad definition of AI-related displacement, the reporting requirements, and the tax treatment of data mining. Supporters would likely argue that the bill is necessary to protect workers, increase transparency, and fund retraining, with the waiver process serving as a limited compromise for labor shortages, agriculture, and small businesses.