The core concept behind the potential detrimental impression of generative AI in the Web3 area is comparatively easy. Generative AI has the potential to alter each side of how software program and content material are developed and consumed, from the infrastructure to the applying layer. These days we’re seeing each main expertise and content material supplier incorporating generative AI into their platforms. If the core of that revolution is happening outdoors Web3, it’s more likely to have an effect on the innovation, expertise and funding hole between Web2 and Web3 applied sciences. Furthermore, if not addressed rapidly, this hole is more likely to proceed increasing at a multi-exponential progress fee. The options to this downside are definitely removed from trivial, however there are some first-principles concepts that may be explored to start out addressing that hole.