Much of the tension shaping public life right now doesn’t stem from technology itself, but from the growing gap between what our systems can do and the social structures meant to govern them. In recent years, digital infrastructures have taken on roles that were once clearly institutional: deciding who can access work, credit, platforms, services, or visibility; shaping reputations; mediating participation in economic and civic life. These systems operate at speed and scale, yet the norms, safeguards, and forms of accountability around them remain fragmented, reactive, or ill-defined. What we experience instead is a persistent sense of mismatch—of living inside mechanisms that affect us deeply, but are difficult to contest, understand, or meaningfully shape.

This is the context in which the following insight becomes less a warning than a diagnosis: “technological change can generate distortions when not accompanied by social innovation, so a technologically-changing society has a standing obligation to reexamine and reinvent its social institutions.” When new capabilities emerge without corresponding shifts in how societies organize trust, responsibility, and legitimacy, the result is not neutrality but drift. Power doesn’t disappear; it relocates—often into opaque systems that inherit political and economic influence without inheriting the obligations traditionally associated with it. The question, then, is not whether technology should advance, but whether our social institutions are evolving quickly enough to meet it. The discussion that follows takes social identity as one such fault line: a domain where technical progress has raced ahead, while the social frameworks needed to govern it remain unresolved.

What struck me most about RadicalxChange’s framing of decentralized social identity in this article wasn’t the technical specifics, but their approach to identity as inherently social, relational, and political. Traditional views treat identity as a static object, typically controlled by governments or corporations. In contrast, the article emphasizes identity as fluid and context-dependent, shaped through interactions within communities and relationships.

This fluid conception of identity directly impacts how we understand data privacy and ownership, highlighting the need for systems that reflect these relational dynamics. Individualist approaches, emphasizing personal data rights and sovereignty—such as privacy-focused frameworks like GDPR or property-based blockchain models—face significant paradoxes. These approaches struggle to define clearly what constitutes “personal data,” encounter issues around unilateral bargaining power against data-rich AI platforms, and raise doubts about whether individual data revocation meaningfully enhances privacy. Moreover, the article argues that the notion of data being entirely private may itself be somewhat meaningless. Since data is inherently relational—created through interactions between individuals and platforms—complete privacy is rarely achievable or practically valuable.

The real challenge lies not in isolating data entirely, but in managing how and when it is shared within appropriate contexts. Part 3 suggests a compelling middle ground, advocating a system where data sovereignty resides with democratically accountable communities defined by productive interactions or social relationships. Such a system recognizes that data is inherently relational—shared, context-dependent, and most valuable when managed collectively within meaningful communities rather than isolated individuals. Recognizing data’s inherently relational nature invites us to consider identity not just as data points but as layered, contextual, and richly interconnected. This nuanced approach could balance privacy, autonomy, and effective collective governance.

The concept of adding “texture” or layers to our understanding of identity introduces other transformative possibilities by enabling more accurate and granular representation of social interactions. Instead of treating identity data as either fully public or entirely private, adding texture allows for nuanced distinctions about who can access certain information, under what conditions, and within which contexts. This granularity reflects how real-world social relationships function, where trust and information-sharing vary depending on circumstances and participants. With these nuanced representations, social identity systems could support authentic democratic participation within diverse contexts—such as corporate governance, environmental advocacy, or community-driven projects—where traditional centralized approaches have struggled. Over time, this could fundamentally reshape democratic governance by extending legitimacy and accountability to a wider array of institutions beyond the traditional nation-state framework

This textured approach also lays the groundwork for “new organizational structures that blend democratic governance typically associated with nation-states with the dynamic, entrepreneurial spirit of capitalism”. One example is the notion of Quadratic Finance, a mechanism designed to fund public goods based on community support rather than pure financial influence. The core principle of Quadratic Finance is that matching funds from a central pool—provided by governments, philanthropists, or other institutions—increase disproportionately with the number of individual contributors, rather than simply matching the total amount contributed. In other words, many smaller contributions from diverse participants collectively receive more significant matching funds compared to fewer, larger contributions from a limited number of donors. This approach is significant because it promotes broader participation and reduces the influence of wealthy individuals or entities, ensuring funding decisions better reflect the true preferences and needs of the community rather than the interests of a few. Effective implementation requires a robust, nuanced social identity system to prevent manipulation, accurately reflect genuine cooperation among participants, capture subtle distinctions in social ties and degrees of collaboration, and ensure the integrity of the funding process.

This gap between technological capacity and social innovation has already produced material harm where identity has been turned into an administrative abstraction. In the United States, the post-pandemic “unwinding” of Medicaid between 2023 and 2025 relied heavily on automated eligibility and redetermination systems. Millions lost health coverage not because they were newly ineligible, but because identity checks failed to reconcile addresses, paperwork, or database records at scale. Procedural flags were treated as authoritative, while the social realities they erased—housing instability, language barriers, caregiving obligations—had no standing within the system. When machine-readable identity signals broke, access to care disappeared with them.

A more extreme version of this logic has played out in India through the Aadhaar biometric identity system. As Aadhaar was made mandatory for access to food rations, pensions, and welfare benefits, biometric authentication failures—unreadable fingerprints, connectivity issues, database mismatches—led to documented cases of exclusion, including starvation deaths. Here, identity was reduced to successful biometric recognition, overriding local knowledge, community verification, and human discretion. In both cases, the technology performed as designed: it processed identity efficiently and at scale. What failed to scale alongside it were the social institutions required to absorb error. This was not simply a failure of automation, but of abstraction—identity became legible to systems built to decide quickly, while becoming increasingly illegible to the people subject to those decisions, stripped of context and the ability to contest outcomes.

Seen this way, failures of identity infrastructure are not isolated administrative errors but symptoms of a deeper structural problem. Reimagining social identity opens the door to reimagining the political economy. Traditional monetary systems and linear pricing mechanisms abstract away crucial social relationships, treating economic interactions as purely transactional and isolated from context. A textured social identity framework challenges this abstraction by reintroducing relational, non-linear dimensions into economic life—precisely where existing institutions have struggled to govern complexity at scale.

Building on the concept of the “Future of Money” and the data economy themes I’ve explored in previous articles, social identity offers a way to integrate social dynamics directly into the core of economic systems. In contexts involving public goods and collective action—which constitute a significant portion of modern economic life—effective governance must reflect cooperative structures, shared exposure, and community-driven preferences. Without corresponding social innovation, technological advances merely accelerate existing failures of recognition and coordination; with it, they open the possibility of a more resilient and legitimate political economy.

This reflection is part of my ongoing writing project, “Reverberations, Onchain”, exploring how blockchains can help us re-imagine how we organize, cooperate, and build shared futures.

It was originally published on Substack.