AI Should Strengthen Human Agency, Not Replace It
As artificial intelligence becomes increasingly capable, two risks deserve particular attention.
The first is the possibility that AI systems become so powerful that humans gradually lose meaningful control over the decisions they influence. The second is the concentration of AI-driven power and information in the hands of a small number of companies, institutions, or individuals.
For Web3, these questions are particularly important.
A decentralized economy depends on transparency, verifiability, and the ability of individuals to make decisions based on information they can independently assess. As AI becomes a critical layer for interpreting increasingly complex on-chain data, we should ensure that intelligence does not become another source of opacity or centralized control.
AI should not tell users what to believe or what to do. It should help them understand what is happening.
This means building AI systems that can interpret on-chain activity, identify patterns, analyze risks, and turn fragmented blockchain data into insights that users can independently verify. The goal is not to replace human judgment, but to make better judgment possible.
In this context, AI-powered data intelligence can become an important layer of the decentralized ecosystem: transforming raw on-chain data into understandable, contextual, and actionable information—while keeping users in control of the final decision.
The challenge ahead is therefore not simply to build more capable AI.
It is to build intelligence that remains transparent, verifiable, and user-controlled.
A stronger AI ecosystem should give individuals greater access to information, not greater dependence on centralized authorities. In Web3, the most valuable AI may ultimately be the one that makes the underlying data easier to understand—without taking ownership of the decisions that data enables.
There are two ways AI progress could go very badly and that we must avoid.
First, we could lose control of the future to AI. This is unacceptable; we are unapologetically on Team Humanity, and AI must always serve people. To ensure that, we need ways to ensure that alignment and safety techniques stay ahead of progress in model capabilities.
Second, we could end up in a world with too much concentration of power. If an extraordinarily powerful AI is used by one person or company to impress their worldview onto everyone else, the results could be extremely dystopian.
Avoiding these two threats requires walking a narrow middle path; for example, one country could gain too much power. Another example is one lab ending up with too much power.