State chief information officers are increasingly expected to treat AI and technology investments as business decisions tied to real outcomes, not just IT initiatives. A new report from the National Association of Chief Information Officers (NASCIO) and Forrester Research surveyed 51 state and territory CIOs and interviewed 19 others, finding that modernization success depends less on organizational structure and more on how well leaders connect technology spending to measurable results.

What's Changing in How States Approach AI Investment?

For years, state IT leaders managed technology as an operational necessity. Today, they're being asked to function as strategic business leaders who demonstrate how AI and modernization investments strengthen agency operations and improve service delivery for residents. The shift reflects a broader recognition that technology spending must align with statewide priorities and outcomes.

NASCIO's 2026 priorities put artificial intelligence at the top of its annual list for the first time, ahead of cybersecurity. This signals a fundamental change in how states view AI, not as a standalone technology experiment but as a core governance tool requiring deliberate planning, workforce preparation, and infrastructure investment.

"State CIOs are expected to modernize technology, strengthen cybersecurity and prepare for emerging technologies while operating within structures designed for stability and accountability. This research demonstrates that success often comes not from finding the perfect funding model, but from balancing competing priorities and creating sustainable pathways for change," stated Eric Sweden, director of enterprise strategy, architecture and governance at NASCIO.

Eric Sweden, Director of Enterprise Strategy, Architecture and Governance at NASCIO

How Are State CIOs Building Governance for AI Success?

• Enterprise Governance Structures: Fifty-three percent of state CIOs reported using an enterprise governance review board or similar body to oversee technology decisions, while another 53 percent have formal IT investment governance policies in place.
• Mission-Outcome Alignment: Sixty-one percent of state CIOs said IT spending decisions are largely aligned with statewide priorities, outcomes and mandates, demonstrating a shift toward accountability-driven investment.
• Agency Relationship Management: Successful CIOs build relationships with agencies and embed relationship managers within state IT organizations to understand how technology investments directly support mission delivery.
• Dedicated Innovation Funding: States are creating separate funding streams for emerging technologies like AI, allowing CIOs to respond more quickly to new opportunities without waiting for traditional budget cycles.

What Obstacles Are State CIOs Facing?

The report identifies three specific challenges that complicate AI and technology investment decisions. The "First Mover Penalty" occurs when an agency that adopts a technology first bears costs that ultimately benefit the broader state IT enterprise, creating disincentives for early adoption. The "Planning Trap" emerges when long-term state budget cycles make it difficult to respond quickly to emerging technologies like artificial intelligence. Finally, the "Funding Cliff" happens when temporary federal or state funding expires before states have determined how to sustain new capabilities.

"A lot of the traditional ways to manage procurements and budgets in this current technology age are very challenging," noted Stephanie Hedgepeth, chief strategy officer for the State of Mississippi.

Stephanie Hedgepeth, Chief Strategy Officer for the State of Mississippi

These structural challenges are particularly relevant as AI tools become a bigger part of state IT planning. Unlike traditional technology investments with clear depreciation schedules, AI capabilities evolve rapidly, making it harder for states to predict long-term costs and benefits within rigid budget frameworks.

Why Does This Matter for Enterprise AI Adoption?

State governments represent one of the largest enterprise IT ecosystems in the United States, with budgets spanning billions of dollars across education, transportation, health, and social services. How state CIOs approach AI governance sets a template for other large organizations facing similar challenges: balancing innovation with accountability, managing competing departmental priorities, and demonstrating clear return on investment.

"We're here for our citizens and making sure we're focused on the outcomes that bring them better services more efficiently," said Shawnzia Thomas, CIO for the State of Georgia.

Shawnzia Thomas, CIO for the State of Georgia

The research also reflects a broader shift in how enterprise leaders view AI. Rather than treating it as a technology to pilot and experiment with, successful organizations are embedding AI into governance structures, workforce planning, and infrastructure decisions from the start. This approach reduces the risk of AI becoming a stranded investment that doesn't deliver measurable business value.

For enterprises beyond government, the NASCIO findings suggest that AI success depends less on choosing the right model or tool and more on building organizational structures that connect technology investments to specific business outcomes, securing sustainable funding, and preparing the workforce to use AI effectively in their roles.