A good friend of mine sent me a well-written letter the other day. It was the type of text that clearly signaled thoughtfulness and professional understanding. But when I asked for a simple observation, the response didn’t expand on the content; opened it. The language, at best, worked in some scripted way, but not the logic behind it. My first instinct was to ask who I was writing to.
I see it everywhere – in meetings, conversations and social networks– where the speech ends until you try to move the speech one step further. I think so against intelligence. And this is not a failure intelligencebut a the same reverse. The results remain, but the process that once gave them cognitive substance does not.
Anti-intelligence occurs when the product of thinking survives, while thinking itself ceases to do the same. Let’s look at four examples that have become very common and problematic.
1. Performative intelligence
The first pattern works on the connection surface. Performative intelligence looks like thinking, but it cannot extend itself. It comes in the form of a polished note that falls under the main question or an explanation that seems complete but lacks an author-based opinion to support it.
We’ve always relied on clarity and consistency as signals of understanding, and for good reason. Historically, these signals have been reliable because they have been hard won. These days, they can be created with little or no effort, and when you get down to the basics, there’s often nothing there. The thought form remains, but the function does not.
2. Compressed knowing
The second pattern works at the process level. Compressed to know when it happens friction disappears from thinking.
For most of our human history, understanding has emerged through resistance. It was a space where meaning was formed. This gap is now collapsing. The answers come quickly and are very subtle. And it’s like progress because it’s faster and cleaner. But there is little to form an idea without resistance. And over time, it becomes difficult to recognize and even understand the difference between responding and understanding.
3. Transferred agency
The third pattern is harder to see because it doesn’t seem like a problem at all. Displaced agency occurs when the origin of thought is changed, while the sense of ownership remains. You can write something using a large language model that matches your voice and intent – it’s like your job. The idea reflects you, so you accept it as your own, even if the path from the question to the answer is not entirely you, but constructed by an AI.
I really don’t think so cheat by itself. It’s a renegotiation that’s more interested in authorship that doesn’t pretend to be.
4. Synthetic conviction
At a certain point, the question is no longer how thinking changes, but what these changes bring about. Outputs don’t just look smooth or smart; they make sure. In my opinion, what is often missing is the cognitive basis. A well-formed response can end the conversation before the actual work of thinking is done.
The consequences of this are huge. In personal decisions, this can mean acting on answers that seem complete but have not been questioned or clarified. In professional settings, he builds strategy around conclusions that have never been sufficiently tested. The problem is not just a bug. If there isn’t enough process behind it, that’s obvious.
Silent standard
I don’t think any of this comes as a warning. It comes as a better version of what you’re already doing. Note has a certain cognitive snap. The strategy board looks and sounds great. The answer comes just in time, before the meeting takes too long. These are not small things, but drivers of professional and personal life. And firing them would be a mistake.
But there’s something else going on when you’re racking up good results. Decisions are made based on conclusions that have never been pressure tested, and people are fluent in ideas they never understood. And because everything seems to work, the cost remains invisible until it does.
It can manifest itself in boardrooms and classrooms, in clinical settings and in policy discussions, anywhere that reliable, well-formed results are called false. conscientiousness and informed opinion. The problem is not that the AI is being used. These results are more believable than the process behind them.
