Zero-click government: Why it’s time to rethink when and how the state acts

In one municipality, officials set out to digitize a breast milk donation programme intended to support neonatal care. The objective was clear and widely supported. Yet when agencies mapped the digital workflow, what began as a simple registration expanded into dozens of mandatory data fields, each justified by internal compliance requirements. What was conceived as a straightforward channel for solidarity became administratively dense. The technology functioned as designed; the coordination did not.

The episode illustrates a broader institutional question that I’m calling zero-click government: how and when public institutions assume responsibility for action in a data-rich environment.

Digital government has expanded rapidly over the past two decades. Digital identification systems, interoperable registries and secure payment infrastructures increasingly underpin public administration across regions. The World Bank’s Identification for Development initiative reports that more than 100 countries have implemented some form of digital ID. Governments can now process applications in minutes that once required weeks.

Yet the underlying architecture of action has changed less than the interface suggests. In most systems, public intervention still begins with a request. A citizen applies, eligibility is verified and a decision follows. Digitization has made this sequence faster and more scalable, but it has not substantially altered its starting point. As governments expand artificial intelligence (AI) capabilities and invest in digital public infrastructure, the logic that determines when institutions move becomes increasingly consequential, particularly where reliable and lawfully obtained data about income, employment, schooling or health already exists within public systems.

Research on administrative burden clarifies the distributive implications of this design. Accessing public benefits often entails learning complex rules, assembling documentation and sustaining prolonged interaction with bureaucracy. These costs are unevenly distributed. Pamela Herd and Donald Moynihan have shown how procedural complexity can systematically reduce uptake even when rights formally exist. More recently, the OECD has documented significant levels of non-take-up across social programmes, with estimates ranging from around 20% to over 50% depending on the benefit and country context. Millions of eligible individuals therefore remain outside systems of support, not because of explicit exclusion, but because institutional activation depends on initiative and persistence.

In earlier administrative contexts, this structure served important purposes. When information was scarce and verification costly, requiring formal applications created clarity and safeguarded due process. Sequential procedures distributed responsibility and limited arbitrariness. In today’s data-rich environment, however, maintaining a purely request-based architecture carries different consequences. Time, literacy and institutional familiarity become effective conditions for access. Digital reform has reduced transaction friction in many jurisdictions while leaving the allocation of activation effort largely unchanged.

A public value perspective illuminates why this matters. Mark Moore’s strategic triangle emphasizes the alignment of collective outcomes, legitimacy and operational capacity. Transaction efficiency contributes to capacity, yet public value depends equally on timing and coherence. Interventions that arrive after vulnerabilities have compounded may stabilize conditions without preserving their full preventive effect. From a zero-click government perspective, the question shifts from how quickly requests are processed to whether institutions are positioned to act at the moment when intervention carries the greatest impact.

State capacity scholarship reinforces this emphasis on coordination. Capability involves aligning information with authority, integrating action across agencies and sustaining implementation over time. In digital states, fragmentation often constrains impact more than data scarcity. Advanced analytics can coexist with institutional inertia when operating models assume that citizens will initiate and assemble public action themselves.

The tension becomes particularly visible around life events. A job loss can destabilize a household immediately. A birth can reshape financial needs overnight. A health diagnosis can alter risk exposure in a single consultation. Administrative systems, by contrast, operate through procedural sequences structured by formal triggers and validation windows. Even when statutory timelines are respected, the delay between event and intervention can diminish preventive value.

International policy frameworks increasingly recognize this misalignment. The OECD’s Digital Government Policy Framework promotes integrated and life-event-oriented service design as a way to organize services around real-world transitions rather than institutional silos. The European Union’s once-only principle similarly seeks to reduce repeated information requests through secure cross-agency data sharing. These initiatives signal an institutional shift towards improved coordination and reduced friction.

Zero-click government extends this logic by focusing explicitly on institutional triggers. In clearly defined domains and under explicit legal authorization, public institutions would initiate action when credible signals indicate need. Citizens would retain the ability to apply, contest decisions and opt out where appropriate. What evolves is the distribution of responsibility for coordination.

Technically, such systems are increasingly feasible where digital public infrastructure is mature. Income support can be activated when verified earnings fall below statutory thresholds. Child benefits can follow birth registration without additional applications. Preventive health outreach can be triggered by established clinical risk indicators. In many jurisdictions, the relevant data already resides within public systems, yet remains underused as a basis for timely intervention.

AI expands both the opportunity and the stakes of this shift. Machine learning models can identify patterns and allocate resources with greater precision than traditional rule-based systems. Governments across OECD countries are experimenting with AI in core administrative functions. Greater analytical capacity, however, increases the importance of transparency, oversight and contestability. Regulatory efforts such as the European Union’s AI Act reflect growing recognition that anticipatory governance requires strong institutional safeguards.

The strategic question for policy-makers is therefore not only how to digitize further, but how to redesign institutional sequencing. Advanced analytics layered onto reactive bureaucracies may accelerate throughput without improving timing or distributive fairness. Embedding analytical capacity within coordinated, event-oriented systems changes the conditions under which public value is created.

Zero-click government frames this moment as an evolution in institutional responsibility. Where public institutions already possess reliable information indicating vulnerability or eligibility, continuing to wait for applications places the burden of activation on those least equipped to carry it. As investments in digital public infrastructure and AI deepen, progress may ultimately be measured by whether governments are prepared to act lawfully, transparently and accountably closer to the moment when need arises.

To explore how these concepts are being translated into practice and to follow the latest developments in public sector innovation, learn more about the work of the World Economic Forum’s GovTech Network.