Why Personal Data Is Often Treated As a Form of Digital Property

Your personal data—from your browsing habits to your location history to your purchase patterns—generates real economic value. Tech companies, advertisers, and data brokers recognize this value and treat your information like an asset they can buy, sell, analyze, and profit from. Yet you, the person whose data it is, often have little say in how it is used or who benefits financially. This gap between who generates the data and who controls it has reshaped how society thinks about digital information: increasingly, personal data is viewed and treated as a form of digital property, with all the economic and legal implications that brings.

The shift is not accidental. The rise of data as a commodity represents a significant shift in the global economy, where the value of intangible assets, specifically digital data, has surpassed that of traditional physical commodities, reflecting the increasing importance of data in driving innovation, enhancing productivity, and fostering economic growth. As personal data has become increasingly valuable, regulators, businesses, and policymakers have begun treating it with the legal and economic frameworks typically reserved for property. Understanding why and how this happens is essential for anyone navigating the digital world today.

The Economic Foundation: Data as a Revenue Stream

The core reason personal data is treated as digital property is simple: it has immense commercial value. Many organisations monetise their data by selling it to other companies or using it to create targeted advertising, products, services and strategies, in a manner reminiscent of the way goods are bought, sold and traded for profit. Large technology platforms, data brokers, and marketing firms have built entire business models around collecting, processing, and selling insights derived from personal information.

Treating data as an asset means recognizing its economic value, managing it like other corporate assets, and investing in its quality and accessibility, involving cataloging data, measuring its value, establishing ownership, implementing governance, and ensuring it's discoverable and usable. When a company treats personal data as property, it becomes easier to assign financial value to it, control who accesses it, and determine how it will be used or monetized.

The Data Lifecycle: From Collection to Commodification

Understanding how personal data moves through the economy reveals why the property framework appeals to businesses. Data collection begins when you interact with digital services—visiting websites, using apps, making purchases, or connecting IoT devices. This information is then aggregated, analyzed, and enriched to create detailed consumer profiles.

Companies specialize in aggregating, cleansing, and enriching datasets, turning them into marketable assets. Once processed, this data becomes a commodity that can be traded in data markets. A single piece of information about your behavior might be combined with millions of others to create a dataset that advertisers, insurers, retailers, and other organizations are willing to pay for. Treating data as property makes this commercial exchange legally and operationally straightforward.

Legal Frameworks and the Property Concept

While no country has fully granted citizens absolute property ownership over their personal data, regulations increasingly use property-like language and protections. Data protection regulations, including the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), all presume that the individual "owns" her or his individual personally identifiable information (PII).

GDPR marked a foundational shift in how broader society views data ownership, as before, it wasn't necessarily clear who actually owned the data after it had been exchanged between two parties, and user rights and the right to gain insight into what personal data is stored by businesses was often unclear, but GDPR helped to clarify these issues and principles. Even so, current laws grant rights over data rather than true ownership. Individuals can request access to their information, demand deletion, or withdraw consent for use, but cannot typically license their data, trade it, or demand compensation when companies use it for profit.

The Data Divide: Who Benefits and Who Doesn't

The gap between treating data as corporate property versus individual property creates a stark asymmetry. Google, Amazon, facial recognition technologies such as FaceApp, Automated License Plate Readers (ALPRs), loyalty programs, social media platforms, ex-significant others, and governments all want to know where you are, what you're doing, and who you're doing it with, collecting petabytes of data, mostly without consent or compensation to the subjects.

Companies that possess vast amounts of data or have the capability to efficiently process and analyze data hold significant economic power and influence. This concentration of data-driven power has prompted calls for reform. Some policymakers argue that individuals should have stronger property-like rights over their data to level the economic playing field.

The Policy Debate: Should Data Ownership Exist?

The question of whether personal data should become formal property has divided policymakers and privacy experts. Senator John Kennedy (R-LA) introduced a three-page bill, the "Own Your Own Data Act of 2019," which declares that "each individual owns and has an exclusive property right in the data that individual generates on the internet" and requires that social media companies obtain licenses to use this data. Others have proposed data dividend programs where individuals would receive compensation when their data is used commercially.

However, significant obstacles complicate this approach. The value of data is really in watching how a user behaves over time and interacts with various players, not one static data point itself. Pricing individual data points becomes complex because value depends heavily on context, combinations, and how the data will be used.

Challenges to the Data-as-Property Model

📊 The Valuation Problem

A fundamental challenge is that personal data does not have a fixed market value. Companies offering data valuation services have started proliferating, while the question "how much is my data worth" has become a policy priority for many governments, yet in the absence of established standards, these problems are usually approached mostly using heuristics or proprietary models, narrowly tailored to specific use cases. This makes it difficult to establish fair pricing for data transactions.

📍 The Social Data Problem

Personal data is often inherently social and collective. Your location data reveals where your friends live. Your communication patterns expose your contacts' habits. Assigning individual property rights to information generated through social interactions raises questions about who truly owns and controls that data.

🔄 Market Versus Rights Protection

Some privacy advocates argue that propertization could actually undermine protections by creating a market where people sell their privacy to the highest bidder, and if a company offers payment for access to sensitive information, a property framework might make that transaction perfectly legal, while a rights-based framework could prohibit it entirely. This tension between viewing data as a tradeable commodity and protecting fundamental privacy rights remains unresolved.

How Companies Use the Property Framework Today

Governments and regulators are beginning to treat data as a commodity, creating regulations and laws that govern its collection, use and transfer, just like physical goods. In practice, this means that companies increasingly:

• 🔐 Catalog personal data as a corporate asset in financial statements and data inventories
• 💰 Assign monetary value to data collections for acquisition, merger, or internal valuation purposes
• ⚖️ Implement data governance structures that treat personal data similarly to other proprietary business assets
• 🛡️ Protect data using security and access controls typically reserved for valuable physical property
• 📋 License data to third parties or establish data-sharing agreements that resemble property leases
• 🤝 Negotiate data ownership disputes when acquisitions or partnerships transfer data control

The Path Forward: Evolving Concepts of Data Ownership

Several emerging approaches attempt to balance the realities of data's economic value with individual rights and privacy protections. Data dignity aims to treat personal data as property you own, and explore how new laws, AI lawsuits, and data cooperatives are reshaping digital rights. Data cooperatives allow individuals to pool their data collectively and negotiate with companies as a group, giving them more bargaining power than they would have individually.

Some jurisdictions are also exploring transparency requirements that force companies to disclose the value they extract from personal data or the ways they use it. Senators Mark Warner (D-VA) and Josh Hawley (R-MO) are filing legislation to require Facebook, Google, and other large collectors of data to disclose the value of personal data they collect, although the bill would not require payments.

Key Takeaways: Understanding Your Data as Property 💡

• 💾 Personal data has significant economic value and companies treat it as a corporate asset because it generates real profits through sales, advertising, and analytics
• ⚖️ Laws grant rights over data, not ownership—you can control access and demand deletion, but cannot legally sell or trade your personal information in most jurisdictions
• 🏢 Asymmetry favors corporations—companies accumulate, aggregate, and monetize your data while you receive minimal compensation or control
• 🔍 Valuation is complex—personal data's value depends on context, combinations with other data, and intended use, making fair pricing difficult
• 🤝 Collective approaches are emerging—data cooperatives and transparency requirements represent evolving attempts to give individuals more agency
• 🌐 Legal frameworks are still developing—governments worldwide continue debating how to formalize data ownership rights while protecting privacy and preventing exploitation

Personal data is treated as digital property because it behaves like property in many ways: it generates value, can be bought and sold, requires governance and protection, and is subject to regulations. Yet unlike traditional property, the rules around who owns it, who benefits from it, and what rights individuals actually possess remain unsettled. As the digital economy continues to expand and personal data becomes increasingly central to business and innovation, these questions will only become more pressing. The choices societies make about data ownership will ultimately determine who holds power in the digital age.