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.
S01854, the “New York workforce stabilization act,” would create two main requirements for larger employers and corporations using artificial intelligence. First, it would add a new Labor Law section requiring covered employers to conduct an artificial intelligence impact assessment before using AI, repeat that assessment at least every two years, and redo it before any material change to the system. The assessment would have to describe the AI’s objectives, its algorithms and training data, its use of sensitive or personal data, and estimates of both current and expected employee displacement. Employers would also have to submit the assessment to the Department of Labor at least 30 days before implementing the AI.
Second, the bill would add a new Tax Law section imposing a 2% surcharge on certain corporations that use AI or data mining in ways that terminate jobs or substantially reduce hours above specified employee thresholds. The surcharge would also apply to corporations using AI for data mining, defined broadly as pattern-based queries or analyses of electronic databases. The bill includes waiver authority for businesses facing labor shortages, certain agricultural uses, and some small businesses that need AI to remain economically viable. Revenue from the surcharge would be directed to worker retraining, workforce development, or the unemployment insurance fund, and the tax provisions would take effect January 1, 2026.
The bill would affect New York employers with more than 100 employees that are not small businesses, as well as corporations that automate or replace human labor through AI, algorithms, computational models, or robotic hardware. It would add new compliance, reporting, and filing obligations, and it would create a new state surcharge regime tied to workforce displacement and data mining activity. It would also give the Department of Labor and the tax commissioner new administrative roles, including waiver review and annual reporting to the Legislature on waivers granted.
There is no recorded committee transcript or vote history in the provided materials, so there is no documented floor or committee sentiment to summarize from debate. Based on the bill text alone, the measure appears aimed at protecting workers and funding retraining in response to AI-driven displacement, while also imposing significant new costs and compliance burdens on employers and corporations that deploy AI. The overall policy direction is labor-protective and regulatory, but the absence of recorded discussion means any support or opposition beyond the text itself is not documented here.
The main points of contention likely concern the breadth of the AI assessment mandate, the 2% surcharge, and the bill’s broad definition of AI-related displacement and data mining. Businesses may object to the reporting burden, the potential tax liability, and the uncertainty around what counts as “material change,” “substantially reduce hours,” or “data mining.” Supporters would likely emphasize worker protection, transparency, and funding for retraining and workforce development, especially for employees affected by automation.
The bill would amend the Labor Law by creating a new section 201-j requiring certain medium and large employers to conduct and submit AI impact assessments before deploying AI systems, and it would amend the Tax Law by adding a new section 186-h imposing a 2% surcharge on qualifying corporations tied to AI-driven job displacement or AI-based data mining. It would also establish waiver procedures, annual reporting requirements, and a dedicated use of surcharge revenue for retraining, workforce development, and unemployment insurance. In practical terms, it would create new compliance obligations for covered employers and a new tax burden for corporations using AI in ways that reduce labor demand.
No committee transcripts or vote records were provided, so there is no direct evidence of legislative debate, amendments, or recorded support/opposition. From the bill’s structure and findings, the measure is clearly intended to respond to concerns about automation and job loss by requiring transparency and funding worker transition programs. The overall sentiment inferred from the text is pro-worker and cautious toward AI adoption, though the bill would likely draw resistance from business and technology interests because of its regulatory and tax effects.
The most likely points of contention are the scope of covered employers, the requirement to disclose AI objectives, algorithms, training data, and employee-displacement estimates, and the 2% surcharge on corporations that automate or use AI for data mining. Employers may argue that the bill is too broad, difficult to administer, and could discourage innovation or investment, while supporters may argue that the disclosure and tax provisions are necessary to offset worker displacement and fund retraining. The waiver process for labor shortages, agriculture, and some small businesses suggests lawmakers anticipated concerns about overbreadth and economic hardship.