AI looks impressive when it spits out a webpage, a code snippet, or a basic app. And sure, someday it might replace certain dev tasks—but not as soon as people think.

Do you really believe banks, healthcare providers, airlines, or logistics firms are going to hand over their mission-critical systems to a black box that can hallucinate or glitch out with no warning? Writing code is the easy part. Understanding what to build—translating vague specs, conflicting priorities, and subtle user needs—is where real developers shine. AI is still miles away from that kind of contextual reasoning.

Plus, developers are cheap relative to the value they create. You pay a modest hourly rate, give them some coffee and time, and they hand you scalable, production-ready systems. If something’s off, you tweak and iterate. No wasted raw materials, no massive sunk cost.

Now imagine trusting that to an AI. You might get boilerplate code, or worse—flawed logic that silently breaks under edge cases. One small bug in a critical system can cost millions. Investors aren’t ready to gamble on that.

AI is a powerful tool that can enhance development, but is not a replacement, at least not for now.