Statewide Study on Automation and Workforce Impact
SB 936 requires Florida’s Bureau of Workforce Statistics and Economic Research within the Department of Commerce to conduct a recurring statewide study on the economic effects of automation, artificial intelligence, and robotics on employment. The bill defines artificial intelligence and directs the bureau to examine both job losses and job gains associated with these technologies, with particular attention to industries most affected, projected displacement over the next 10 years, vulnerable regions and worker demographics, wage and job-quality effects, productivity and job creation, and the role of workforce training and retraining programs.
The bill also authorizes the bureau to consult with business and industry representatives, academic labor economists, local economic councils, chambers of commerce, and other groups as needed. The bureau must report its findings and policy recommendations to the Governor and legislative leaders by December 1, 2025, and then repeat the study every three years to update the analysis and recommendations. The act takes effect July 1, 2025.
This bill does not directly regulate employers, workers, or AI systems; instead, it adds a new recurring research and reporting duty for the Department of Commerce. It would create an ongoing state-level framework for tracking how automation and AI affect Florida’s labor market and for informing future workforce, education, and economic policy. The practical impact is on state agencies and policymakers, who would receive periodic data and recommendations that could shape training, retraining, and economic development decisions.
The available voting history shows strong bipartisan or at least broad committee support, with unanimous approval in each recorded committee vote: 9-0 in Senate Commerce and Tourism, 15-0 in the Senate Appropriations Committee on Transportation, Tourism, and Economic Development, and 18-0 in Senate Fiscal Policy. With no committee transcript opposition provided, the overall sentiment appears favorable and noncontroversial, reflecting general agreement on the value of studying AI-driven workforce change.
No major points of contention are evident in the provided record. The bill’s main policy choice is to study and report on automation’s labor-market effects rather than impose immediate regulation, which likely helped avoid opposition. If any concerns exist, they would likely center on the cost and usefulness of recurring studies, the accuracy of forecasting AI-related displacement, or whether the state should move beyond research to direct worker protections or training investments; however, no specific objections are shown in the available materials.