North Carolina Treasurer’s Office Expands Use of AI Throughout the Agency

Why It Matters

Deploying AI across a major state finance agency could set a benchmark for public‑sector efficiency while raising labor‑market and data‑privacy questions that other states will watch closely.

Key Takeaways

• North Carolina Treasurer's office bought 150 ChatGPT licenses for $51,700 annually
• Pilot program showed up to 10% productivity boost in select divisions
• Additional AI tools include Microsoft Copilot ($16,200) and GitHub Copilot ($45,100)
• State Employees Association warns AI adoption could threaten jobs

Pulse Analysis

State governments are accelerating AI adoption to streamline operations, and North Carolina’s Treasurer’s Office is now a flagship example. After a 12‑week pilot that demonstrated a 10 percent productivity lift in its Unclaimed Property and Finance divisions, the agency is expanding AI tools agency‑wide. This mirrors a broader trend where public entities leverage large‑language models to automate routine tasks, improve data analysis, and free staff for higher‑value work. By investing in ChatGPT, Microsoft Copilot, and GitHub Copilot, the office aims to enhance service delivery for pension management, health insurance administration, and unclaimed property processing.

The financial commitment totals roughly $113,000 annually, a modest outlay compared with the potential efficiency gains. Treasurer Brad Briner argues that the AI spend is a direct return to taxpayers, citing the pilot’s time‑saving outcomes. The agency expects the productivity boost to scale across all divisions, translating into faster processing times and reduced operational costs. However, the rollout also raises governance considerations: ensuring data security, managing licensing costs, and establishing clear usage policies to prevent model drift or compliance breaches.

Labor groups remain cautious, highlighting the "great unknown" of AI’s impact on state workers. The State Employees Association of North Carolina warns that automation could lead to job displacement, echoing concerns seen in other sectors. Transparency and employee involvement are being called for by SEANC, which stresses the need for a structured implementation plan. As more states watch North Carolina’s experiment, the balance between efficiency gains and workforce protection will shape the future of AI governance in the public sector.