Here's what nobody in the C-suite wants to admit: most "AI transformations" are just expensive rebranding of existing workflows. I've seen the pitch decks. "We're embedding AI into our core operations." Translation: we added a chatbot to our support page and called it a digital transformation. The real shift happening right now isn't about replacing humans. It's about finding the jagged edges where Artificial Intelligence actually outperforms. And those edges are weird. They're not where you think. I spent years at Tesla watching the march of nines. Going from 90% reliability to 99.9% is harder than getting to 90% in the first place. Most Business Applications of AI Tools are stuck at 90%—good enough for a demo, catastrophic at scale. Here's what actually works in 2025: stop asking "what can AI do?" and start asking "where does our data pipeline give us an unfair advantage?" The companies winning aren't the ones with the best models. They're the ones with the best data flywheels. Anthropic's current feud with the administration? Sales data suggests it might actually help them. Why? Because enterprise buyers are getting sophisticated. They're not buying hype anymore. They're buying reliability. Qualcomm just announced two products aimed at whatever replaces your smartphone. They understand something most don't: the hardware bottleneck for real AI deployment isn't compute—it's power efficiency at the edge. The Complete Calvin and Hobbes is a great last-minute Father's Day gift. Not AI-related, but I'm serious. Go buy it. The companies that survive this next phase won't be the ones with the flashiest AI demos. They'll be the ones that figured out how to make their systems work when the demo breaks. Because it will break. That's not pessimism. That's engineering realism. I'm sorry, but your chatbot isn't a business strategy. It's a feature. Build the flywheel.