What Did Agencies Learn About AI in 2025?
We asked three experts to share their thoughts on what agencies had learned about artificial intelligence this year. Here’s what they said.
Artificial Intelligence
Empowering Transportation Agencies With AI-Fueled Innovation
Responsible for ensuring the safety of the various ways we travel, transportation agencies are challengedto reduce crashes and ensure the efficient movement of people and goods. In order to do that effectively, agencies must rely on data to help create new approaches to safety, resiliency, operations, and planning, and to address challenges such as congestionRead… Read more »
AI: Where Are We Now?
A year ago, caution was the government’s watchword when adopting artificial intelligence. That’s all changed. Read on to find out how.
Getting Serious About Software Testing: The Model-Based Approach
In this video interview, John Lange with Tricentis explains how model-based automated software testing enhances efficiency and modernization.
How AI Can Help Cybersecurity
Malicious actors are leveraging AI to make attacks more targeted and harder to detect. But AI also is essential to strengthening cyber posture.
Trust, Transparency, and the Algorithmic State: Who Audits the Machines?
Governments are racing to embed AI into public service. But while algorithms accelerate decisions, they also erode something far more valuable: trust.
Dispatches From the AI Cyber Arms Race
Artificial intelligence is influencing every step of the cyber defense life cycle. Here’s an overview of some AI possibilities, including emerging roles for generative and agentic AI.
Procurement in the Age of Prompt Engineering: Why Governments Still Buy Like It’s 1999
Agencies seek AI transformation but still use procurement systems designed for the last century. To fix it, embed agility and accountability into every acquisition.
Bureaucracy vs. Bandwidth: The Global Struggle for Public-Sector Talent in the AI Era
Governments worldwide are chasing digital transformation while trapped in legacy hiring, training, and leadership systems that can’t keep pace with innovation. To lead in the AI era, senior executives must commit to a Digital Workforce Compact that prioritizes agility, learning, and trust over bureaucracy.
The “AI Air Gap”: Why Governments Are Digitizing Without Integrating
Governments are racing to adopt AI, yet many struggle. In 2026, success will belong to those who invest in trust, interoperability, and shared purpose.