As artificial intelligence reshapes the global economy, communities increasingly find themselves confronting a familiar question: who benefits when new infrastructure becomes essential to economic and civic life?

The discussion surrounding data centers and AI infrastructure is often framed as a choice between public ownership and private investment. Advocates of municipal compute argue for public control of critical digital infrastructure. Investors point to the enormous capital requirements needed to build the next generation of computing capacity.

That framing may be too narrow.

A more productive question is whether the extraordinary returns expected from AI infrastructure can create a durable public dividend alongside private returns.

The billions of dollars now flowing into data centers, fiber networks, power generation systems, and AI platforms are based on a common assumption: artificial intelligence will become foundational infrastructure. If that assumption proves correct, AI may become as important to economic growth during the twenty-first century as electricity, transportation, telecommunications, and broadband were during the twentieth.

If AI truly becomes foundational infrastructure, communities should have pathways to participate in its benefits rather than simply absorb its impacts.

The Missing Conversation

Today’s data center boom is generating significant debate around land use, electricity consumption, water resources, environmental impact, and local governance. Communities are increasingly being asked to host infrastructure that serves regional, national, and global markets.

Yet public conversations frequently focus on mitigating impacts rather than sharing benefits.

Historically, society has accepted private ownership of foundational infrastructure when accompanied by obligations that create broad public value. Universal telephone service, rural electrification, educational broadcasting, utility service territories, and broadband deployment programs all reflect the principle that infrastructure serving the public interest should produce public benefits.

The next generation of AI infrastructure may require a similar social compact.

Rather than asking whether compute should be public or private, policymakers should ask a more important question:

How much public benefit should society expect from infrastructure that becomes as essential as electricity or broadband?

The Idea of an AI Infrastructure Dividend

One possible answer is the creation of an AI Infrastructure Dividend.

Under this model, a small percentage of the value generated by AI infrastructure would be permanently dedicated to public-interest purposes. Such commitments could take many forms:

  • Workforce development programs
  • Community college partnerships
  • Public research initiatives
  • Civic innovation projects
  • Emergency management applications
  • Public-interest AI services
  • Community technology programs
  • Digital opportunity initiatives

The key principle is permanence.

Rather than relying on voluntary philanthropy or periodic grants, a portion of infrastructure value would be structurally dedicated to public purposes over the lifetime of the asset. Similar approaches already exist in the form of foundation endowments, community benefit agreements, universal service mechanisms, and public-interest obligations attached to other forms of infrastructure.

The objective is not to discourage investment. Rather, it is to ensure that communities share in the prosperity generated by assets that increasingly shape economic opportunity.

Why Cooperatives Matter

This is where cooperatives become particularly interesting.

For more than a century, cooperatives have provided a mechanism for communities to collectively own and govern essential infrastructure. Rural electric cooperatives, telecommunications cooperatives, agricultural cooperatives, and credit unions have demonstrated that local ownership can coexist successfully alongside private markets.

In many cases, cooperatives emerged precisely because traditional market structures struggled to serve rural or lower-density communities.

The parallels to today’s AI economy are difficult to ignore.

Many rural areas are unlikely to attract hyperscale data-center campuses. Yet these same regions possess assets that are becoming increasingly valuable:

  • Fiber infrastructure
  • Electric utility networks
  • Rights-of-way
  • Educational institutions
  • Workforce training centers
  • Community trust
  • Local governance structures
  • Unique data resources

Cooperatives may provide a framework for converting those assets into long-term participation in the AI economy.

A Cooperative Compute Hypothesis

One hypothesis worth exploring is the emergence of Cooperative Compute Utilities.

Electric cooperatives already operate sophisticated networks of power distribution assets, communications infrastructure, operational technology, cybersecurity systems, and field operations. Many also own fiber networks and maintain trusted relationships with their member-owners.

As AI applications increasingly require distributed computing resources closer to users and devices, cooperatives may be positioned to operate community-scale compute infrastructure.

These facilities would not compete with hyperscale providers such as Microsoft, Google, Amazon, or Meta. Instead, they could provide regional infrastructure supporting:

  • Public-sector AI applications
  • Education and workforce development
  • Precision agriculture
  • Smart energy systems
  • Local research partnerships
  • Community innovation programs
  • Small business experimentation

Just as many cooperatives expanded from electricity to broadband, it is conceivable that some may eventually expand into community-scale computing services.

A Cooperative Data Commons Hypothesis

A second hypothesis involves data governance.

Data is rapidly becoming one of the most valuable assets in the AI economy. Yet rural communities often generate significant data while retaining limited influence over how that data is used.

Agriculture, forestry, transportation, health care, energy systems, and environmental monitoring all produce information with substantial economic value.

A cooperative data commons could provide a governance structure that allows organizations to contribute data while maintaining local control and accountability.

Such a model could help communities develop local AI capabilities while protecting privacy, preserving trust, and aligning outcomes with community priorities.

In this scenario, the cooperative becomes not only an infrastructure provider but also a steward of community knowledge assets.

Implications for Rural Regions

For regions such as Michigan’s Upper Peninsula, the opportunity may not lie in attracting multi-billion-dollar hyperscale developments.

The more realistic opportunity may be participation.

Electric cooperatives, municipal utilities, tribal nations, community colleges, universities, economic development organizations, and local governments already possess many of the ingredients required for collaborative infrastructure development.

The Upper Peninsula has repeatedly demonstrated an ability to solve problems through partnership. Broadband deployment, regional workforce initiatives, educational collaborations, and utility investments all reflect a long tradition of collective action across organizational boundaries.

The AI economy may simply represent the next chapter in that story.

Communities that organize early may be able to capture a small but meaningful share of the value generated by AI infrastructure. Communities that do not may find themselves permanently purchasing access from systems they have little ability to influence.

From Infrastructure to Shared Prosperity

The debate should not be framed as public versus private data centers.

Private investment will remain indispensable. The scale of capital required to build modern AI infrastructure guarantees that reality.

The more important challenge is designing mechanisms that allow communities, investors, educational institutions, and public organizations to participate together in creating long-term value.

Cooperatives offer one proven framework for achieving that goal.

They occupy a space between government ownership and investor ownership. They align infrastructure with community interests. They encourage stewardship over extraction. Most importantly, they provide pathways for communities to become participants in economic transformation rather than simply hosts for it.

The history of electricity, telephone service, and broadband suggests that every foundational infrastructure eventually develops institutions that balance innovation, efficiency, and public benefit.

The AI economy may be approaching that moment now.

The question is not whether communities should participate in the value created by AI infrastructure.

The question is whether we will build the institutions that allow them to do so.