The podcast features Tom Bilyeu, the founder of Impact Theory, discussing the intersection of Web3, AI, and AR in the context of his company’s business model and future plans. The conversation delves into the potential of these technologies to revolutionize the entertainment industry and the way we interact with digital assets.
- The Importance of AI and AR: Tom Bilyeu emphasizes the significance of AI and AR in the future of digital assets and entertainment. He believes that AI will eliminate the laborious task of creating assets, while AR will provide a tangible use case for NFTs in a physical world that becomes increasingly digital.
- The Role of Blockchain: Bilyeu highlights the role of blockchain in bringing the properties of physics to the virtual world, making digital ownership more meaningful. He sees the blockchain as a technology that allows new things to happen rather than a category in itself.
- Impact Theory’s Business Model: Impact Theory is currently treating its business model like a traditional Web 2.0 model, using its revenue from YouTube and its University to fund the speculative side of the business. The company aims to drive down the cost of NFTs to make them more accessible and plans to introduce a fiat on and off-ramp in the next six months.
- Future Plans: Bilyeu is optimistic about the future of Impact Theory and its business model. He expects that within a year, the company’s new initiatives will become one of its top two revenue streams.
- Bullish: Bilyeu is bullish on the potential of AI, AR, and blockchain to revolutionize the entertainment industry and the way we interact with digital assets. He is also optimistic about the future of Impact Theory and its business model.
- Bearish: There is no bearish sentiment expressed in the podcast.
- Neutral: Bilyeu acknowledges the challenges and uncertainties in implementing new technologies and business models. He recognizes the need for a robust business model for long-term success and is open to the possibility of needing to adjust strategies if they are not proving successful.