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When my colleagues ask me about the latest “in” thing in AI today that is MCP, I think hard for some sort of analogy to explain. Finally, I found one. Imagine buying a brand-new, top-of-the-line TV. It has an incredible display, massive processing power, and the smartest software on the market. But when you unbox it, you realize something infuriating: the manufacturer didn't include a remote control. Even worse, none of the universal remotes at the store work with it. If you

For the last year, I’ve sat in countless senior management meetings and executive strategy sessions looking at the exact same slide decks (the only difference being the vendor logos). We’ve all listened to pitches about the importance of building proprietary, custom AI infra from scratch. I have been pushing back for two reasons: 1) the velocity of AI development is so fast that today’s build might be tomorrow’s relics. 2) before industry’s open standards are set, what everyo

I’ve been thinking a lot about how different AI conversations feel this year compared to just 12 months ago. Back in 2023 and even most of 2024, AI discussions were dominated by novelty. Everyone was experimenting with image generators, asking ChatGPT random questions, or trying to automate emails and presentations. It was exciting, but it still felt like people were exploring the edges of the technology rather than truly depending on it. Around May 2025 though, something shi