Riding the AI Hype Wave Crash

The AI world in 2025 looks a lot like waves at the beach that come in so fast they stumble over themselves. One innovation barely hits shore before another crashes right on top of it.

Remember when ChatGPT first dropped? Before companies could even figure out how to use it, GPT-4 arrived. Then came better image generators, Claude models, and now we've got AI systems that handle text, images, and audio all at once. Each wave pushes forward before the last one has even broken.

This is exactly like wave steepening in physics. As waves approach shore, they compress and rise until they become unstable and collapse. AI hype cycles are doing the same thing—compressing into shorter and shorter timeframes.

Companies are exhausted trying to keep up, investing in systems that become outdated almost immediately. VCs pour money into the space in frenzied cycles. Media coverage swings wildly between utopian dreams and dystopian nightmares. And regulators? They're completely underwater, drafting rules for yesterday's AI while tomorrow's makes those concerns obsolete.

Unlike ocean waves that eventually dissipate, these AI waves seem to be building on each other, creating something bigger with each crash. The people and organizations who can surf this chaos—staying balanced while everything breaks around them—will be the ones who thrive. For now, grab your metaphorical surfboard. The next AI wave is already forming, and it's coming in fast.

I for my part will go now and do some Model Context Protocol deep-diving - yet another wave rolling in 😅