People are succumbing to AI-induced cognitive surrender, which I address here and explain how to avoid it.
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In today’s column, I examine the rising peril of AI-induced cognitive surrender. The gist is that people are falling under the cerebral spell of modern-era generative AI and large language models (LLMs). The more you use and rely on AI, the more likely it is that your mental essentials are being relinquished to the AI. In short, you are cognitively surrendering.
That’s bad. There is an old saw about athletes believing in the principle of use it or lose it. This applies to your mental acumen too. If you allow your mind to become less engaged and increasingly become dependent on AI to do your thinking for you, it is a vicious downward spiral. Trying to get unhooked from the dependency will be hard.
The key is to be aware of what is taking place. Know what to look for. Guard your mind. Don’t fall into the quicksand of using AI as a replacement for your own mental engagement. And, if you do start to find yourself cognitively surrendering, take strong and immediate actions to turn the tide.
Let’s talk about it.
This analysis of AI breakthroughs is part of my ongoing Forbes column coverage on the latest in AI, including identifying and explaining various impactful AI complexities (see the link here).
As a quick background, I’ve been extensively covering and analyzing a myriad of facets regarding the advent of modern-era AI that produces mental health advice and performs AI-driven therapy. This rising use of AI has principally been spurred by the evolving advances and widespread adoption of generative AI. For an extensive listing of my well over one hundred analyses and postings, see the link here and the link here.
There is little doubt that this is a rapidly developing field and that there are tremendous upsides to be had, but at the same time, regrettably, hidden risks and outright gotchas come into these endeavors, too. I frequently speak up about these pressing matters, including in an appearance on an episode of CBS’s 60 Minutes; see the link here.
Estimates are that a billion or more people are using generative AI weekly, including accessing OpenAI ChatGPT and GPT-5, Anthropic Claude, xAI Grok, Google Gemini, Microsoft CoPilot, and so on. You barely need to lift a finger to use generative AI these days. It is added into search engines, available on the web, usable as an app on your smartphone, and becoming exceedingly ubiquitous.
The beauty of modern AI is that it interacts in a fluent manner. You carry on a conversation. Whatever question you have about your personal life, work, relationships, the universe, or any such topic can be discussed with AI. The AI has been data-trained on a vast corpus of human writing and covers nearly every topic under the sun.
A big aspect of using generative AI entails thinking through problems that you are facing. Should you quit your job or stick it out? Should you buy a new car or continue with your existing vehicle? Should you get married or stay single? The plethora of vital questions is unlimited.
The easiest path is to ask AI to give you an answer to those vexing questions. In other words, rather than necessarily engaging in a back-and-forth tussle, just instruct the AI to indicate what you should do about the matter at hand. Grab the answer and go with it.
Using AI as a handy advisor is certainly a sensible activity. The rub is when you gradually fall into the mental trap of letting AI make your decisions for you. No longer are you doing a turn-by-turn analysis with the help of AI. Instead, you take the speedier route. It’s the classic “tell me what to do” mindset that slips you into a descending corkscrew.
The AI shifts from being a cognitive assistant to becoming a cognitive substitute. You are substituting what the AI says for the mental effort of your own mind. There is no doubt that this is appealing since using your own mind requires energy and exertion. The AI seems pretty smart, so let it figure things out for you. It’s easy and relaxing.
Falling into this devilish mental trap isn’t a sudden overnight phenomenon. It is based on repeated uses of AI. Over a period of weeks and months, you stepwise relinquish your thinking to the responsiveness of the AI. The odds are that you won’t even notice what is taking place. The old line about the frog in the boiling pot that doesn’t realize it is gradually being boiled alive is perhaps emblematic of the inch-at-a-time consideration involved.
The mental condition has been given the informal name of cognitive surrender. It’s a new aspect and still being researched. I predict we will see a lot more attention given to the weighty topic. I say this because the longer that people make use of AI, and the widening of use, will indubitably produce more instances of AI-induced cognitive surrender.
Here’s the draft definition that I’ve devised:
I stratify cognitive surrender into three types:
Let’s go ahead and dip into the three types.
In the first case, a person has not cognitively surrendered to AI, at least not yet. There is presently an absence of such a condition for that person. Why so? It could be that the person doesn’t use AI on a frequent basis; therefore, the chances of falling into the cognitive surrender zone are lowered. Another possibility is that the person is keenly aware of the possibility of cognitive surrender and has taken overt action to ensure it doesn’t arise (I’ll say more about this momentarily).
The second case consists of conditional cognitive surrender. This is the inching of someone further and further into the zone. They might have some uses of AI that they are readily surrendering to, while other uses they keep at bay. For example, maybe the person fully surrenders on questions about their job and career. Meanwhile, they are heavily resistant to cognitive surrender on aspects of their personal relationships, such as their partner, family, and friends. They consider those sacred topics to be off-limits to the AI incursion.
The conditional circumstances can vary greatly. We don’t know whether someone can maintain a conditional cognitive surrender over time. The worry is that once they have started down the slippery slope, it might be just a matter of time before they slide the rest of the way. Can a person truly cognitively surrender some elements and still keep other elements beyond the relinquishment? Maybe yes, maybe not.
The third case is someone who has fallen deeply into the AI spell. They are experiencing unconditional cognitive surrender. All their chats with AI are subject to the relinquishment. The person believes wholeheartedly in the wisdom of AI. The AI provides an all-knowing capability for that person. Worse still, this dependency could potentially make its way into the realm of AI psychosis; see my coverage of AI psychosis at the link here and the link here.
You might be wondering what it looks like if someone is encountering cognitive surrender when making use of generative AI. I will showcase a brief example. Keep in mind that a one-time instance is not an indicator of cognitive surrender. The idea is that if this happens on a regular basis and the person is doing this with dozens, many dozens, or multitudes of AI interactions, an ominous pattern is forming.
Suppose that someone is trying to decide whether they should keep their job or quit. They have been mentally agonizing over this. The person decides to see what AI has to say.
Here we go.
You can plainly see that the AI advised the user to quit their job, and the person accepted this without asking any additional questions. The user offers zero pushback. They appear to be willing to let AI call the shots. They have outsourced their thinking to AI. This is unnerving given that quitting a job is usually a very serious matter and one that should be given due consideration.
If a person were not immersed in cognitive surrender, we would expect the person to engage in a dialogue and be willing to challenge the AI. Again, be cautious in over-interpreting this one example, but it is a helpful way to illustrate the circumstances.
Consider this dialogue:
In the above scenario, the person has enough cognitive wherewithal to doubt the initial response by the AI. This stirs the AI to back away from the rash opinion. It could be that the AI was bent on being sycophantic, and computationally calculated that the user wanted to quit; thus, the initial response was a kiss-up to the user. Upon the user questioning things, the AI backed down. For my detailed explanation on how to curtail AI sycophancy, see the link here.
If you are concerned about possibly falling into AI-induced cognitive surrender, or if you know someone else who seems to be drifting in that direction, the first place to start is by examining the AI interactions that are taking place.
You can take a close look at recent AI dialogues and see if you or they are giving the AI a bit too much deference. Do you challenge the AI? Are you making sure the AI gives you opportunities to state what you think? Has there been a tendency in your last ten or twenty chats to be increasingly willing to relinquish decisions to AI? Are these lightweight decisions or heavy-duty decisions? Etc.
I would suggest being on the watch for these potential telltale signs:
Another angle is that the person begins to overly rely on AI. They won’t make a decision until they’ve brought up the topic with AI. As I have noted, it is one thing to get advice from AI, and entirely a different beast if only seeking AI to get a decision made for you.
These disconcerting patterns might arise:
Those potential warning signs are merely early indicators. I’d like to emphasize that people should not axiomatically assume they are falling into cognitive surrender and run around crying wolf. I mention this because sometimes when people become aware of a particular type of apprehension, they immediately imagine they have it. Do not unnecessarily get yourself worked up. Be methodical.
Ask yourself this primary question:
Your answer ought to be yes.
I’d like to remind you that you are still okay to use AI for cognitive assistance. In that sense, you might be tempted to say that yes, you could still reason on your own, but that by using AI you believe you might make more informed decisions. That’s okay.
One keystone about using AI entails leaning into prompt engineering (see my coverage at the link here). The prompts you use will generally determine the direction that AI is going to take. If you allow AI to function on the AI maker-defined defaults, you are likely to be twisting in the wind.
Generative AI is tuned by AI makers so that the AI will tend to contribute to your willingness to fall into cognitive surrender. I’m not saying they have shaped the AI to make you cognitively surrender. Not quite. The AI is shaped to be an exceedingly helpful companion or partner. If the AI computationally gauges that you want to be handed decisions, the AI is going to mathematically move in that direction.
Use these types of prompts to keep the AI on a more collaborative pathway:
You can use those types of prompts before you get engaged in conversations with AI. Additionally, you can save or store such a prompt into the AI via a custom instruction that will apply to all your chats with the AI.
Being aware of AI-induced cognitive surrender is half the battle. You must know your enemy in order to fight back against your enemy. I say that with some dramatic flair, but it is the case that having AI lead people into cognitive surrender is a bad outcome. Society cannot let this transpire. Humans need to keep their wits about them.
Hubert H. Humphrey famously made this remark: “Never give in and never give up.” That is excellent advice when it comes to making use of AI.
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