> For the complete documentation index, see [llms.txt](https://whitepaper.nrnagents.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whitepaper.nrnagents.ai/introduction/agents-the-next-big-theme-in-ai/why-web3.md). # Why Web3? One of the key challenges in this new era of unprecedented value creation is the risk of **asymmetric distribution**. Traditionally, those who control the factors of production also control wealth creation, leading to centralized ownership and power. Web3 addresses the risk of asymmetric value distribution in AI-driven economies. Through NFTs and tokens, Web3 decentralizes ownership and monetization of AI Agents. This allows communities involved in creating, training, and deploying agents to share in the wealth produced. The model aligns incentives, empowering contributors to own and profit from their input. In this ecosystem, AI empowers rather than replaces humans. Web3 allows people to influence AI agents and benefit from their value, fostering an inclusive, participatory system. Decentralized value distribution amplifies the network effect, accelerating product growth and adoption while enhancing defensibility. This approach not only ensures fair value distribution but also supercharges community engagement, creating a more equitable and dynamic AI-driven economy. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://whitepaper.nrnagents.ai/introduction/agents-the-next-big-theme-in-ai/why-web3.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.