US States Adopt AI, But Report Warns of Long Road to Real Impact

OAKLAND, CA – May 01, 2026 – State governments across the United States are increasingly turning to artificial intelligence, moving beyond isolated experiments and toward integrating the technology into the core of public service delivery. However, a new report warns that while adoption is accelerating, the crucial work of ensuring AI is responsible, equitable, and delivering measurable benefits to citizens is still in its infancy.

The second annual Government AI Landscape Assessment, released today by the civic tech nonprofit Code for America, maps the progress of states on their AI journeys. The analysis reveals a nation at a technological crossroads, with a handful of pioneer states charting a path forward while most grapple with the foundational challenges of governance, infrastructure, and measuring long-term impact. AI, the report suggests, has evolved from a one-time modernization tool into an institutional-level transformation that is reshaping how government operates.

From Readiness to Implementation

To provide a clearer picture of the national landscape, the 2026 assessment builds upon its predecessor by evaluating states across four distinct stages of AI maturity. The framework, which includes an interactive visualization, categorizes state efforts from foundational work to full integration:

• Readiness: Establishing the basic building blocks for responsible AI, including leadership buy-in, technical capacity, and data infrastructure.
• Piloting: Creating controlled environments like AI innovation labs and regulatory sandboxes to experiment with new tools under clear guardrails.
• Implementation: Embedding AI into daily operations through tools like public-facing chatbots, AI-assisted case management, and automated document processing.
• Impact: Actively monitoring and measuring AI systems to understand their long-term effects on public services and citizen outcomes.

The report finds a significant shift of states from the Readiness to the Piloting stage, but a much smaller number have successfully advanced to widespread Implementation. The final stage, Impact, remains largely an aspirational goal across the country. This year's research also introduces a specific "benefits access lens," examining how AI is being used to help eligible people find, apply for, and receive critical government support.

"Across the country, states are not waiting on the sidelines of this technological shift. They are stepping forward with urgency and a deep commitment to getting it right," said Amanda Renteria, CEO of Code for America. "The opportunity in front of us is not just about adopting new technology, but about shaping it in ways that are human-centered and grounded in real outcomes for communities. When states lead with that mindset, they will do more than keep pace with innovation. They will define the future of public service in the AI era."

Pioneers on the AI Frontier

The report highlights seven states—Maryland, New Jersey, North Carolina, Pennsylvania, Texas, Utah, and Vermont—as leaders shaping the national trajectory. These states are distinguished by strong executive leadership, cross-agency governance structures, and a commitment to structured experimentation.

New Jersey, for example, has scaled its internal "NJ AI Assistant" to 15,000 government workers, handling over one million prompts to improve services. The state's Department of Labor used the tool to rewrite emails in plain language, resulting in 35% faster responses, while the Division of Taxation improved its self-service options, leading to a 50% increase in resolved calls. North Carolina has launched an AI Accelerator under an executive order, aiming to become the "most AI-literate state" and piloting projects to streamline DMV document validation and reduce procurement timelines from 264 days to just 62.

Other states are focusing on establishing robust legal and ethical frameworks. In 2025, Texas enacted the Texas Responsible Artificial Intelligence Governance Act (TRAIGA), creating a state AI Council and a regulatory sandbox to foster innovation under controlled conditions. Utah launched a $10 million "pro-human" AI initiative and established the nation's first Office of Artificial Intelligence Policy to guide its strategy. Meanwhile, states like Maryland and Pennsylvania are deploying AI to directly improve benefits access, with Maryland using an AI-powered agent to help residents with applications and Pennsylvania scaling a tool to scan documents for legibility, reducing the administrative burden on caseworkers.

Beyond the Hype: Navigating Challenges and Ethical Dilemmas

Despite the progress shown by these pioneers, significant hurdles remain for most states. The transition from successful pilots to widespread, operational infrastructure is fraught with challenges, including navigating outdated legacy IT systems, securing sustainable funding, and closing a critical talent gap in data science and AI project management.

More fundamentally, governments face the immense task of building public trust. The deployment of AI in public services raises profound ethical questions about data privacy, algorithmic bias, and accountability. AI systems trained on historical data can inadvertently perpetuate and even amplify existing societal biases, leading to inequitable outcomes in areas like social benefits, criminal justice, and hiring. Ensuring that AI decision-making is not a "black box" but is transparent and explainable is a major technical and policy challenge.

In response, federal guidance like Executive Order 14110 on "Safe, Secure, and Trustworthy AI" and the NIST AI Risk Management Framework are providing high-level principles. However, states are largely responsible for translating these principles into practical, on-the-ground policies. This involves creating strong data governance, protecting sensitive personal information, and establishing clear lines of human oversight and accountability for AI-driven decisions.

AI for the People: The Quest for Tangible Citizen Benefits

Ultimately, the promise of government AI lies not in its technical sophistication but in its potential to make public services more accessible, efficient, and humane. The Code for America report's focus on benefits access underscores this point. For millions of Americans, navigating the complex web of applications and documentation required to receive support for food, housing, or healthcare is a daunting and often demoralizing experience.

AI offers a path to simplify these processes. Tools that can help a resident navigate an application, check a document for errors before submission, or provide instant answers to common questions can dramatically reduce the administrative burden on both citizens and overworked government staff. By automating routine tasks, AI can free up public servants to focus on more complex cases that require human empathy and judgment.

As states continue their journey into the AI era, the central challenge will be to keep the focus on public value. The leading states identified in the report demonstrate that progress requires a dual commitment: one to embracing innovation and another to building the guardrails that ensure technology serves the public good. The success of government AI will ultimately be measured not by the number of pilot programs launched, but by the tangible improvements it brings to the lives of the people it is designed to serve.