Written by NCAC Board Member, Ryan Heimer

Innovation, Infrastructure, and the Future of Democratic
Governance

The Next Great Test of American Governance

Every generation inherits a challenge that forces it to rethink how institutions serve the public. For the Founders, it was designing a republic capable of balancing liberty with effective government. For later generations, it was preserving the Union, building an industrial economy, expanding opportunity, and navigating the rise of global power.

Today’s challenge arrives not in the form of a foreign army or economic depression, but through a technology advancing faster than the institutions responsible for governing it.

Artificial intelligence is often described as a technological revolution. Yet the more important story may be institutional rather than technological. AI is forcing governments, businesses, schools, healthcare systems, and communities to confront fundamental questions about decision-making, accountability, expertise, and trust. It is reshaping how information is produced, how services are delivered, how work is performed, and how citizens interact with the organizations that govern their lives.

The executive orders and policy initiatives emerging from Washington over the past several years reveal a growing recognition that AI is no longer simply another innovation. Increasingly, it is being treated as a strategic national capability that will influence economic competitiveness, workforce development, healthcare delivery, national security, and the future of public administration itself.

The story of American AI policy is therefore not merely a story about technology. It is a story about whether our institutions can adapt to a new era while remaining faithful to the principles that have sustained the republic for nearly 250 years.

From Research Initiative to National Strategy

The modern federal AI effort began in 2019 with the Executive Order on Maintaining American Leadership in Artificial Intelligence. At the time, policymakers largely viewed AI as an emerging technology with extraordinary economic and scientific potential.

Federal agencies were directed to prioritize research and development, improve access to government data, cultivate technical talent, and reduce barriers to innovation. The objective was straightforward: ensure that the United States remained the global leader in a technology likely to define the future.

A year later, the focus expanded. The Executive Order on Promoting the Use of Trustworthy Artificial Intelligence in the Federal Government acknowledged that leadership alone would not be sufficient. Public trust would also be necessary.

Innovation and governance would need to advance together. This balance between technological advancement and democratic accountability would become the central tension of the next phase of American AI policy.

The AI Race Accelerates

By 2025, the conversation had evolved dramatically.

The Trump Administration’s executive orders on removing barriers to AI leadership, streamlining federal procurement, expanding AI education, accelerating data-center permitting, and exporting the American AI technology stack reflected a broader strategic vision.

AI was no longer viewed primarily as a research initiative.

It was becoming a national project.

The federal government increasingly began treating artificial intelligence the same way earlier generations treated railroads, electrification, aerospace, and the internet—not merely as technology, but as critical infrastructure tied directly to economic growth, national security, and geopolitical influence.

Yet even as policymakers focused on competition and innovation, another challenge was emerging: preparing institutions and people to operate effectively in this new environment.

The Human Side of Artificial Intelligence

Technological revolutions are often described through machines, inventions, and infrastructure. But history suggests that transformation ultimately depends on people.

This reality is particularly evident in the workplace.

Research by Dr. Priyanka Dave of Oregon State University suggests that successful AI adoption is not primarily a technology challenge. It is a cultural challenge. Employees do not embrace new tools simply because they are available. They need environments that encourage learning, experimentation, collaboration, and continuous improvement.

Her research identifies psychological safety, managerial reinforcement, peer learning, opportunities for application, and aligned incentives as the key ingredients of successful adoption. Organizations that lack these conditions often find themselves purchasing technology faster than employees can meaningfully use it.

This lesson is especially relevant for government agencies.

The success of federal AI initiatives will not be determined solely by the sophistication of algorithms. It will depend on whether public institutions can prepare employees to work alongside those systems effectively.

The future of AI, in many respects, is a workforce challenge.

Modernizing Government in the AI Era

The workforce challenge intersects directly with another national priority: government modernization.

Federal agencies face increasing workloads, growing public expectations, workforce constraints, and rising demands for responsiveness. AI offers opportunities to improve service delivery, strengthen data analysis, streamline administrative processes, and support evidence-based decision-making.

Recent disclosures from the Office of Management and Budget reveal more than 3,600 active or planned AI applications across federal agencies, a dramatic increase from previous years.

These applications touch nearly every aspect of government operations.

Yet the rapid expansion of AI has also exposed an important governance challenge.

How do citizens maintain confidence in systems they do not fully understand?

The answer, many experts argue, lies not in slowing innovation but in strengthening transparency, accountability, and public engagement.

The rise of AI is creating what some observers describe as an “AI state.” Whether that development increases public trust or erodes it will depend on how institutions manage the transition.

Healthcare: A Preview of the Future

Few sectors illustrate these challenges more clearly than healthcare.

Healthcare is simultaneously one of the most promising and most complicated areas for AI deployment. Administrative systems already assist with scheduling, claims processing, documentation, and patient communications. Clinical applications increasingly support diagnostics, medical imaging, disease detection, and treatment recommendations.

The promise is extraordinary.

Yet healthcare also demonstrates the complexity of governing AI in high-stakes environments.

Questions about liability, privacy, transparency, regulation, reimbursement, and patient safety remain unresolved. Multiple federal agencies share oversight responsibilities, while states continue developing their own approaches.

The result is a policy landscape that mirrors broader challenges facing AI governance across government.

How can regulators encourage innovation while protecting the public?

How can institutions move quickly without sacrificing accountability?

Healthcare may ultimately become the testing ground for answering those questions.

National Security and Strategic Competition

If healthcare highlights AI’s promise, national security highlights its stakes.

Recent debates surrounding advanced AI systems such as Anthropic’s newest models demonstrate how quickly AI has become intertwined with questions of cybersecurity, intelligence, and defense.

Policymakers increasingly view frontier AI models as strategic assets comparable to advanced semiconductors, aerospace technologies, or critical infrastructure.

This perspective reflects a growing recognition that leadership in artificial intelligence may influence the global balance of economic and political power throughout the twenty-first century.

Consequently, discussions surrounding export controls, cybersecurity safeguards, model access, and international competition are likely to become increasingly central to American AI policy.

The question is no longer whether AI has national security implications.

The question is how democratic societies should govern technologies that possess such significant strategic value.

Stewarding the Future

The conversation surrounding artificial intelligence often gravitates toward extremes. Some see limitless opportunity. Others see existential risk. The reality, as is often the case in public administration, lies somewhere in between.

Technology does not determine outcomes on its own. Institutions do.

Artificial intelligence will undoubtedly reshape government, healthcare, education, business, and civic life. Yet whether those changes strengthen society depends upon decisions being made today by public servants, policymakers, educators, business leaders, and citizens.

The executive orders discussed throughout this article represent more than a collection of policy directives. They reveal an emerging recognition that America is entering a new phase of national development—one in which intelligent systems will increasingly shape public life.

But history reminds us that technological leadership alone is never enough.

The nations that endure are those capable of transforming innovation into public value. They build institutions that are trusted, adaptable, and resilient. They prepare their people for change while ensuring that progress remains aligned with the common good.

As the United States approaches its 250th anniversary, artificial intelligence presents an opportunity to demonstrate that democratic governance remains capable of meeting the challenges of a new age.

The future of artificial intelligence will be written in code.

The future of the republic, however, will still be written by people.