What's Happening?
A new report from Code for America, the 2026 Government AI Landscape Assessment, reveals that nearly all U.S. states have piloted artificial intelligence (AI) initiatives, yet few have established mechanisms
to evaluate their public value. The report categorizes states into four stages of AI maturity: early, developing, established, and advanced. While many states have made progress through executive orders, legislation, and partnerships, the adoption of AI remains fragmented due to challenges such as data quality and security concerns. The report identifies Maryland, New Jersey, North Carolina, Pennsylvania, Texas, Utah, and Vermont as leaders in AI adoption, citing strong executive leadership and cross-agency governance as key factors.
Why It's Important?
The widespread piloting of AI across states signifies a growing recognition of its potential to enhance public-sector operations. However, the lack of evaluation mechanisms raises concerns about the effectiveness and accountability of these initiatives. As AI becomes more integrated into government functions, the ability to measure its impact and value is crucial for ensuring that public resources are used efficiently and ethically. The report's findings highlight the need for robust governance frameworks and data infrastructure to support the responsible deployment of AI technologies.
What's Next?
States are likely to continue exploring AI applications, with a focus on developing the necessary infrastructure and governance to support effective implementation. The report suggests that leading states may serve as models for others, sharing best practices and lessons learned. As AI technologies evolve, states will need to address challenges related to data privacy, security, and ethical considerations, ensuring that AI deployments align with public interests and values.
