AI Hype vs. Reality: Lessons from 2024 and Predictions for 2025

In this episode, Andrew Duncan discusses the emerging trends in AI and software development as we approach 2025. He highlights the shift towards in-house AI solutions, the importance of ecosystems in maximizing AI's impact, and the evolving nature of training architectures. The conversation emphasizes the need for interconnected frameworks that foster collaboration and innovation in the tech ecosystem. Takeaways We're entering the year of agent experimentation. Companies are building in-house AI solutions at nearly double the rate. The hype around AI is similar to blockchain, but for a real reason. Ecosystems are more important than ever. It's about creating interconnected frameworks. Successful ecosystems allow for seamless collaboration. Training architectures are evolving to work with what's possible. We're seeing a slowing pace of new AI capabilities. Bespoke solutions tailored to their needs are essential.