AI Hype vs. Reality: What 2025 Didn’t Deliver
Santiago revisits last year’s predictions about what the industry was supposed to look like in 2025. It’s a great example of how the saying holds up: we overestimate what we can achieve in 1 year and underestimate what’s possible in 10 years.
The gap between AI hype and reality is massive. We were given tools, yet we often treat them like magic.
At the same time, from that whole list, the point that feels the most noticeable to me is: “Writing code manually was supposed to be obsolete.” Whether online or at my job, most people have switched to writing with the help of AI models/agents, and fewer and fewer write everything manually from scratch. Still, a human has to remain in the loop - someone needs to understand, verify, test, and take responsibility for the outcome.
And that’s probably where we are right now: AI genuinely speeds up the work, but we’re not yet at a point where we can safely hand over full control of large, production systems to autonomous agents. That likely won’t change within a year, but it’s definitely an area worth watching closely.