Programmable Economies & Governance: Upgrading Society's Operating System

At PL R&D, we focus on fields that have the potential to unlock transformative new capabilities for humanity. The Programmable Economies & Governance Focus Area aims to accelerate the infrastructure societies use to decide, allocate, verify, and coordinate.

Every society depends on a set of basic systems: systems to make decisions, allocate capital, enforce rules, establish trust, and coordinate people who may not know one another or share the same interests. These systems shape almost everything else. They determine how public goods are funded, how institutions learn, how resources flow, how legitimacy is built, and how collective action becomes possible.

Yet current institutional infrastructure is largely outdated, slow, and fragmented, struggling to meet the demands of a modern world defined by AI and digital networks. A new wave of technology is creating potential for more sophisticated governance and collective intelligence:

• Digital public infrastructure now operates at population scale.
• Stablecoins are moving trillions of dollars globally.
• New funding mechanisms can efficiently direct capital toward public goods.
• Advances in AI are creating entirely new possibilities for governance, deliberation, and collective intelligence.
• Cryptographic verification, decentralized infrastructure, and sensing technologies (e.g. IoT devices, satellites, and real-world sensors) are making it possible to connect digital systems to real-world outcomes.

Integrating technological advancements offer a path toward future institutions that are more transparent, efficient, responsive and trustworthy by effectively connecting digital systems to physical outcomes.

What We Do

PL Economies & Governance's mission is to help build the programmable infrastructure that enables states, organizations, and communities to make better decisions for more people under greater degrees of trust.

By "programmable infrastructure", we mean systems where rules, transactions, and coordination can be executed, verified, and improved through software like cryptography, AI, and open networks. This includes everything from digital identity and payment rails to public goods funding, verifiable climate finance, and new forms of institutional coordination. Digital infrastructure replaces paper-based processes and lets institutions issue credentials, and maintain records electronically, while programmable infrastructure enables coordination and response through explicit, verifiable rules that can be automated or iterated.

We focus on four opportunity spaces that together form a societal coordination stack:

1. 1Sovereign Digital Public Infrastructure = the systems that public systems run on
2. 2Computational Coordination & Governance = how those systems listen, deliberate, and decide
3. 3Programmable Capital Allocation = how capital follows those decisions
4. 4Verifiable Real-World Infrastructure & Systems = how outcomes get measured and trusted

Together, these layers form a continuous feedback loop:

The result is a new feedback loop for institutional learning and collective intelligence.

Opportunity Space 1 Sovereign Digital Public Infrastructure

Sovereign Digital Public Infrastructure (DPI) focuses on the systems governments use to deliver essential public services in the digital age. This includes identity, payments, registries, credentials, and the infrastructure that allows citizens to interact with public institutions.

Countries around the world have already demonstrated the power of digital public infrastructure. Payments systems, identity layers, public registries, and digital service platforms have shown that public systems can operate at population scale on modern digital rails.

The next frontier is making these systems programmable, interoperable, privacy-preserving, and verifiable.

Why it matters

Many public services still rely on fragmented databases, manual processes, legacy procurement systems, and institutional workflows that are difficult to audit or improve. These constraints make it harder for governments to deliver services efficiently, protect citizens' data, adapt to changing needs, or maintain public trust.

Programmable infrastructure creates the possibility for public services that are more transparent, efficient, and citizen-centered.

Areas we find particularly promising include:

• Proof of personhood systems
• Open identity and credential infrastructure
• Privacy-preserving computation
• Verifiable public records and registries
• Programmable public-service delivery
• Sovereign data infrastructure

Progress so far / case studies of momentum

Programmable government depends on three primitives that were not practical at scale until recently: 1) verifiable personhood (proving a unique human without a state ID), 2) portable credentials, and 3) encrypted computation (keeping data private while still verifying results). We now see serious teams building these missing primitives in the PL network: World is scaling privacy-preserving proof of personhood, with tens of millions of verifications; Spruce builds open identity and credential infrastructure for the internet; and Zama advances encrypted computation, so data can stay private under public verification.

Beyond the technical stack, movements such as Crecimiento in Latin America have demonstrated how networked communities can help shape national conversations around economic development, digital infrastructure, and institutional renewal.

The Inflection Point: Programmable Government in Production

We believe a major milestone will occur when governments begin running meaningful public functions on programmable and verifiable infrastructure. This could include:

• Capital: A sovereign nation runs >$1B annual public treasury disbursement or management through programmable infrastructure.
• Identity and voting: Multiple jurisdictions with 100K+ members use verifiable credentials for major public functions such as passports, public benefits, citizen engagement, or elections.
• Privacy: A nation-state using programmable infrastructure to advance data sovereignty, privacy-preserving administration, or trusted public registries

Imagine a citizen proving eligibility for a benefit using credentials they control, without exposing unnecessary personal information — not as a one-off pilot, but reliably across nationwide public infrastructure. Or a government auditing service delivery in real time through transparent software systems embedded across agencies and operating at population scale.

When public infrastructure becomes both programmable and verifiable, digital government shifts from digitization to transformation.

Opportunity Space 2 Computational Coordination & Governance

Every major institution faces the same challenge: how to make good decisions with limited attention, incomplete information, diverse stakeholder interests, and contested values.

As societies become larger and more interconnected, many important decisions involve more stakeholders, more information, and greater complexity than traditional governance systems were designed to handle.

Computational Coordination & Governance explores how technology can help groups listen, deliberate, decide, and coordinate more effectively.

Why it matters

Advances in AI, mechanism design, collective intelligence, and digital participation create opportunities to augment human decision-making at unprecedented scale.

New governance tools can help institutions gather broader input, identify areas of consensus and disagreement, improve deliberation quality, simulate tradeoffs, and make more informed decisions without sacrificing efficiency.

This matters because many governance processes today face a difficult tradeoff. Small groups can make decisions quickly, but often lack legitimacy or sufficient information. Large-scale participation can increase legitimacy, but is often slow, noisy, advisory, or hard to translate into action.

Computational coordination creates the possibility of breaking that tradeoff.

It does not replace human judgment. It improves the information environment around judgment. It helps institutions see more clearly, reason more collectively, and act with greater legitimacy.

Areas we find particularly promising include:

• Large-scale deliberation systems
• AI-assisted governance tools
• Broad listening and sensemaking
• Delegation and agent-mediated participation
• Novel collective-decision mechanisms
• Real-world governance experimentation

Progress so far / case studies of momentum

Structured deliberation at scale is being tested by Simocracy, which uses simulated citizens and participatory mechanisms to help groups reason through tradeoffs and allocate resources. Real-world governance experimentation has a home at Edge City, a live environment where new coordination mechanisms are tested with real participants. The public-goods funding and governance community has been convened and grown through Funding the Commons, which brings together researchers, builders, funders, and institutions. This work builds on a longer lineage of digital-democracy experiments, including Polis, vTaiwan, and participatory budgeting, that show institutions can listen and decide differently.

The Inflection Point: Binding Decisions at Scale

Many governance experiments today remain advisory. They produce insight, but not authority. A major breakthrough occurs when a city, institution, network, or government trusts and adopts a computational governance mechanism to make a consequential decision with participation from tens of thousands of people.

A meaningful inflection point could look like:

• Engagement: A 10,000+ person deliberation process leads to a consequential public or institutional decision, that's measurably better than the legacy process today
• Allocation: a >$10M market cap network uses a collaborative decision-making system like Simocracy to allocate funding among competing public goods
• Adoption: a public institution uses computational governance as part of its default decision-making infrastructure, which in turn strengthens democracy & decision-making

When these systems move from consultation to execution, they become part of society's decision-making infrastructure.

Opportunity Space 3 Programmable Capital Allocation

Programmable capital allocation focuses on helping societies direct resources toward shared priorities more effectively.

Capital allocation is ultimately a governance problem. Once a society determines what it values, it must decide how resources should flow toward those goals.

Many of society's most important outcomes – scientific research, open-source software, public infrastructure, climate resilience, knowledge creation, and civic technology – remain chronically underfunded because traditional funding systems struggle to measure and reward their value. New allocation mechanisms offer an alternative.

Why it matters

The challenge is often not a lack of capital, but a lack of mechanisms that can reliably identify, reward, and scale valuable contributions.

Over the last decade, entirely new approaches have emerged, including quadratic funding, retroactive funding, impact certificates, programmable grantmaking, and outcome-based financing.

These mechanisms suggest that funding itself can become more adaptive, transparent, and outcome-aware. Areas we are particularly excited about include:

• Public-goods funding mechanisms
• Outcome-based funding
• Impact certificates and reputation systems
• Open infrastructure for funding allocation
• New capital markets for public goods

Progress so far / case studies of momentum

Programmable public-goods funding has run at scale through Gitcoin, which used quadratic funding to direct capital to open-source software and community projects. New market structures for funding public goods, science, and long-term outcomes are being built by Hypercerts, which makes impact claims legible, composable, and tradable. AI-assisted public-goods funding is being tested by Optimism (RetroPGF), Ethereum (Deep Funding), and Filecoin (ProPGF), each a route toward identifying and rewarding contributions more reliably. Real money already moves through programmable allocation: Ma Earth has routed more than $1.7M from 11,000+ donors to 202 projects through quadratic funding and hypercerts.

The Inflection Point: Public Goods Become an Asset Class

Today, most programmable funding systems operate at the scale of experiments and pilot programs.

A transformative shift occurs when billions of dollars begin flowing through these mechanisms and institutional capital treats them as reliable infrastructure rather than philanthropic experiments.

This inflection point depends on three linked breakthroughs:

• Efficacy: new funding mechanisms demonstrate meaningful real-world improvement over legacy allocation processes.
• Legitimacy: credible institutions trust these mechanisms enough to use them.
• Capital Scale: large pools of public, philanthropic, and private capital begin flowing through them.

The critical flywheel is that efficacy unlocks legitimacy, legitimacy unlocks larger-scale capital, and larger-scale capital creates the incentives for standards, measurement, and adoption. At that point, public-goods funding becomes a scalable economic system rather than a niche innovation.

Opportunity Space 4 Verifiable Real-World Infrastructure & Systems

Many of society's most important decisions depend on understanding what is actually happening in the world. Did the project happen? Was energy produced? Was biodiversity protected? Did the intervention achieve the intended outcome?

Today, answering these questions is often expensive, slow, fragmented, and difficult to trust. Verifiable real-world infrastructure focuses on turning measurements of the physical world into trustworthy digital signals.

Why it matters

Institutions can only make good decisions when they have access to reliable information.

As sensing technologies, cryptographic systems, AI, and digital infrastructure continue to improve, it becomes increasingly possible to create verifiable data pipelines that connect real-world outcomes directly to digital systems.

This matters for things like impact measurement, public goods funding, and climate and infrastructure finance. If outcomes can be continuously monitored and credibly verified, then capital can be allocated with greater confidence, public systems can become more accountable, and institutions can learn more quickly from what actually works.

Verification is the bridge between digital coordination and physical-world impact.

Areas we find particularly promising include:

• Environmental and ecological monitoring
• Energy production verification
• Cryptographic verification systems
• Outcome-based financing
• Public-goods and infrastructure measurement systems
• Real-time monitoring and adaptive infrastructure systems

Progress so far / case studies of momentum

Transparent measurement of ecological outcomes is being advanced by GainForest, which combines AI, remote sensing, and community monitoring; it reports more than 1,160 certified organizations and roughly 48,000 observations. Verification tied to energy production and incentives is being tested by Glow, which reports more than 150 audited solar farms, pointing toward infrastructure that can be financed and rewarded through transparent data. As these systems get better at sensing, reporting, and responding in real time, verification can move from a retrospective audit to a live infrastructure layer.

The Inflection Point: Verification Becomes Shared Trustworthy Infrastructure

The key transition occurs when trusted information about real-world conditions is no longer produced through occasional manual audits, but becomes a continuous and reusable infrastructure layer that governments, markets, and organizations can routinely build upon.

Reaching that point requires more than better sensors and analytical capacity. These systems must operate at scale while providing useful insight across multiple modalities, from global patterns to individual projects, assets, ecosystems and organisms. They must be decentralized enough to avoid dependency on a single provider, resilient to failures and manipulation, and designed such that countries, institutions and communities can retain meaningful control over data and infrastructure.

Open standards, independent validation, privacy safeguards and community participation can make these systems more trustworthy, sovereign and resilient. Imagine biodiversity outcomes being continuously measured and verified to decide policy. Energy production automatically triggering payments and rebates. Public infrastructure projects releasing funds based on verified progress rather than self-reported updates.

When verification becomes affordable, trusted, and widely available, it transforms from compliance overhead into core societal infrastructure.

PL R&D: Building the Field

Technical breakthroughs alone are not enough. Progress requires ecosystems capable of turning promising ideas into durable institutions. For more than a decade, nearly 400 teams across Protocol Labs have worked across digital identity, public-goods funding, governance, climate coordination, open infrastructure, and institutional innovation.

PL R&D's role is to connect a network of experiments into field-level momentum. We work to map emerging opportunity spaces, forecast where we believe the field is heading, and help the most promising ideas move from experiments into real-world deployment.

That means supporting research, convening communities, funding early breakthroughs, helping new ventures emerge, developing shared standards, and partnering with governments, multilaterals, funders, and builders around the world.

A stronger ecosystem increases the likelihood that progress across all four opportunity spaces reinforces one another rather than developing in isolation.

The Near-Term Bet: Broad Listening & Simocracy

We believe several important inflection points are approaching. But one is especially near-term: computational governance moving from advisory experiments to consequential institutional decision-making.

That is why we are particularly focused on Broad Listening, Simocracy, and related AI-assisted governance systems that can help institutions listen, deliberate, and allocate resources in new ways.

The bet is simple: if institutions can listen at scale, deliberate more intelligently, allocate capital more transparently, and verify outcomes more reliably - then governance itself can become more adaptive, trustworthy, and effective.

Concrete inflection points could look like the following:

• A government uses Broad Listening to understand citizen priorities across a contested public issue.
• Simocracy helps model tradeoffs, structure deliberation, and generate allocation recommendations.
• A programmable funding mechanism directs capital toward the selected priorities.
• Verifiable real-world infrastructure measures whether the funded projects actually delivered, and those results feed back into the next cycle of decision-making.

If this works, the outcome is not just a better consultation process. It is a new institutional capability: the ability to listen, decide, fund, verify, and improve in a continuous loop.

Get Involved

This field will emerge through the combined efforts of researchers, builders, policymakers, funders, entrepreneurs, and public institutions working across disciplines. PL R&D exists to help accelerate that process.

If you are building sovereign public infrastructure, governance systems, funding mechanisms, verification technologies, or related coordination tools, we would love to hear from you.

We invite you to explore the projects already contributing to this vision and review their collective impact.

Over the coming months, we will publish deep dives on each opportunity space, the bottlenecks slowing progress, and the specific inflection points we believe are within reach.

The future of programmable economies and governance remains unwritten. That is precisely what makes it worth building.

Join us.

This post is for informational purposes only. It is not an offer, solicitation, or recommendation of any security or investment product, and nothing here is a commitment or guarantee of any future performance or any outcome.