The token economy requires collective data governance

In today's digital economy, the value of human knowledge and creativity is rapidly transforming into a new form of wealth. This shift is epitomized by the "token economy," where trillions of data points, known as tokens, are extracted from millions of internet users to train sophisticated AI models. Unlike the previous "attention economy," which monetized attention, the token economy is built on the collective knowledge shared by internet users.

However, the rules governing this new data economy are not regulated by any single entity. Instead, they are controlled by a handful of powerful tech firms such as OpenAI, Anthropic, Google, and Meta. This concentration of power raises significant concerns about the fair distribution of value created by the digital commons.

To address this imbalance, the author argues for a shift towards collective data governance. Just as collective-management organizations have historically negotiated licensing rights for authors and artists, a similar approach is needed for the digital commons. This could involve the establishment of data cooperatives, representing internet users, creators, and other rights holders.

These cooperatives would have the power to negotiate access to AI training data, determine how the resulting value will be shared, and ensure that tech companies respect the choices of their members.

The author suggests that these cooperatives could extend their role beyond mere compensation. By collectively determining the conditions under which AI developers can access their data, members would not only be compensated but also have a say in shaping the values embedded in these AI systems. This would ensure that the AI systems serve the public interest rather than being driven solely by profit motives.

In essence, the token economy demands a new institutional framework to govern digital knowledge. This framework should empower internet users and creators, turning them from passive data sources into active stakeholders in AI governance. Such a transformation could help ensure that the benefits of AI are shared more equitably among society.