State legislatures face a widening “pacing problem” as generative AI reshapes lawmaking faster than institutions can adapt. Drawing on interviews across twenty-two states, State Legislative Capacity in the AI Era examines staffing, institutional knowledge, network relationships, and technology adoption, revealing where legislative capacity lags and where states are quietly outpacing Congress.

State Legislative Capacity in the AI Era draws on original interviews across twenty-two states with legislators, staff, and civil society partners to explore AI adoption and governance. It details a practitioner-driven methodology, recruitment pathways, and confidentiality practices shaping this exploratory, cross-state analysis.

State legislatures face uneven AI adoption rooted in capacity gaps across people, institutional knowledge, external networks, and technology. Overworked staff, thin onboarding, dependence on lobbyists and the Executive branch, and inconsistent data infrastructure shape whether legislatures capture AI's benefits or absorb its costs.

Traditional legislative capacity metrics like salary, session length, and staff numbers fail to capture how well legislatures adapt to AI. A new Legislative Adaptive Capacity Index proposes measuring people, institutional knowledge, network relationships, and technology readiness to guide investment and resource allocation.

State legislatures can strengthen AI readiness through thirteen recommendations spanning data infrastructure, transparent guidelines, and customized tools; adoption support like phased integration and upskilling; and governance measures addressing human accountability, caucus procurement risks, and interstate collaboration to build lasting institutional capacity.

State legislatures show uneven AI adoption, with progress tracking institutional role more than geography. Foundational gaps in people, knowledge, networks, and infrastructure shape outcomes, leaving open questions about partisan asymmetries, Executive branch dynamics, and civil society's capacity to support legislative governance ahead.

State legislatures face a widening “pacing problem” as generative AI reshapes lawmaking faster than institutions can adapt. Drawing on interviews across twenty-two states, State Legislative Capacity in the AI Era examines staffing, institutional knowledge, network relationships, and technology adoption, revealing where legislative capacity lags and where states are quietly outpacing Congress.