# The need for AI decentralization The current state of the AI development and AI model market highlights two key challenges: 1. **High barriers to entry:** AI development is currently limited by technical expertise and expensive resources. The complexity of existing tools prevents many individuals and small companies from participating in the creation or use of AI models. 2. **Centralization of power and control:** The concentration of AI development, models and data control in the hands of a few large players limits access to AI innovation and exacerbates data privacy concerns. Low-code AI simplifies AI development through intuitive drag-and-drop interfaces, making it accessible to everyone without requiring technical expertise. This greatly alleviates the high barrier to entry and significantly reduces the difficulty for individuals, small businesses, and large enterprises to participate in AI creation and trading. Web3 technology, on the other hand, offers a transformative solution for the AI industry by introducing decentralization, transparency, and community governance. Because blockchain technology enables the secure and transparent trading of AI models, users can take full control of their data and creations without relying on centralized intermediaries. Together, Web3 and low-code AI offer endless possibilities for innovation, collaboration, and accessibility, making AI an omnipresent tool that anyone can create, own, and benefit from. Low-code AI is leading this revolution, creating a decentralized, open, and secure AI ecosystem for everyone. --- # Agent Instructions: 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: ``` GET https://low-codeai.gitbook.io/docs/introduction/the-current-state-of-the-ai-market/the-need-for-ai-decentralization.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.