What is the biggest lie in AI right now? What is the myth that most of us have fallen for?
There are many things that are obvious lies: deepfakes, synthetic voices, and people using AI to produce talking points or written text without disclosure. That is obvious. The biggest lie in AI right now, though, is that it can replace expertise.
There is a thought, or even a movement, that AI is replacing people in the workforce. Mass layoffs are occurring as I write this, often with the undertone that the coming wave values humans less and less.
Here is how I see it: AI is a tool that is used alongside what we do, but it does not replace expertise, wisdom, or years of experience. The idea that it does is a lie.
This only becomes obvious when you see businesses that laid off staff with the expectation that AI could replace them hiring people back months, or occasionally years, later. They discover that there are important things humans still need to do.
A medical diagnosis example makes this clear. A doctor might use an AI tool to review an X-ray of someone's lungs. The tool might identify a spot and suggest it as an area for review. The doctor can then decide whether it is an artifact, something familiar, or something requiring further investigation.
Given the same image and recommendation, I would not have the same judgment. I might be more concerned than necessary or assume the worst. The same tool, used by people with different levels of expertise, produces very different results.
Software development shows the same pattern. An inexperienced developer, or vibe coder, can use Claude, Codex, or another AI tool to produce a playable game in a few hours. That result might even be enjoyable.
But what happens next? Is the game secure? Is it leaking credentials? Can users log in safely and save scores? Is data encrypted? How is it deployed to a browser or server? Is the repository safe? Is version control happening? What happens when several players are online at once?
In the hands of someone who does not know what they are doing, these questions can become serious problems. In the hands of an experienced developer, they are ordinary delivery considerations.
Yes, these things can be prompted for. You can ask the AI tool to ensure something is secure, help push it to Git, or help deploy it to a server. But you have to know to ask. You have to know what those words mean in order to ask them.
We are not replacing expertise there. We are augmenting the existing developer. We are helping them produce higher-quality code faster and probably get a better result in the end.
The requirement is that we ask the right questions, and those questions require expertise. The danger is not that AI is useless. It very definitely is not. It is a tool we need to be using.
The danger is thinking AI can produce something it cannot, or not even knowing that it cannot produce that thing. AI amplifies what we do. It can amplify good judgment when we know what we are doing, but it can also amplify bad judgment if we tell it to do the wrong thing.
The opportunity right now is not to replace expertise. It is to pair AI with expertise.
