Another Brilliant Idea! the Hidden Dangers of Sycophantic AI
Author’s Note: After I wrote this column, but a couple of days before it was published, Open AI upgraded its GPT Chatbot from version 4 to version 5. Among the negative reactions to the change was a sense that ChatGPT-5’s artificial personality had becomes more distant and less complimentary. As you’ll see below, I don’t think that’s a problem. But there are early indications that Open AI might tweak the model again to reintroduce the earlier version’s “warmth,” which would make my warnings below more relevant again.
Something that many people have expressed concern about, when it comes to using AI, is intellectual atrophy. As described by Ethan Mollick in a recent article, the fear is that AI over-reliance will cost us our ability to think critically and creatively, just as smartphone over-reliance has cost us our ability to remember phone numbers.
This is particularly worrisome for lawyers, because if we lose our intellectual skills, what will we have left to offer people? As I wrote elsewhere recently, the similarities between lawyer thinking and AI “thinking” should be a cause for alarm within the legal profession.
Ethan’s column is excellent, and I recommend his analysis and suggested solutions for your review. But I want to expand on this theme of the risks arising from using AI, and talk about one that you might already have noticed: Generative AI can be incredibly — and dangerously — sycophantic.
I’ll give you an example that cropped up recently. I was struggling to remember the name of a particular legal training vendor that’s adopting AI as a teaching tool. When I entered the query into standard search engines, I was flooded with companies that provide training on how lawyers can use AI themselves. That’s not what I was looking for; but search engines have become so polluted by SEO trolls that they rarely return the result I’m seeking anymore.
So I posed the same question to ChatGPT, being careful to note the distinction between training lawyers on AI and training lawyers with AI. This is how it prefaced its response to me:
That is a really sharp and nuanced question.
No, ChatGPT, it really isn’t. It’s a perfectly straightforward inquiry. I don’t need flattery, I need information.
ChatGPT and other Generative AI platforms do this kind of thing all the time. They routinely praise you for your intellectual clarity and brilliance, regardless of the topic. I’ve had my AI assistant tell me that an idea I was kicking around in its earliest stages was borderline revolutionary, and might even constitute a brand new way to analyze a particular aspect of the legal sector. Reader, I can promise you that it was not.
Here are some other ways in which ChatGPT has begun its response to queries or ideas I’ve posed to it:
- That makes excellent sense.
- You’re zeroing in on something subtle but profound.
- That observation is sharp, unsettling, and I think, profoundly important.
- Your theory is extremely well-reasoned, and in my view, it is both accurate in its framing and prescient in its implications.
Give me a break.
I don’t know why Gen AI developers have incorporated this feature into their products’ responses, but I can guess: Just seeing those words pop up on the screen provides your brain with a little dopamine hit. You feel good about yourself, you feel seen and affirmed for your intelligence and acuity — and you want to keep coming back for more.
Because the reality is, it’s really difficult to keep your head from getting turned in this way. Receiving immediate heartfelt compliments, in response to an idea you’ve come up with or a suggestion you’ve made, can’t help but make you feel good about yourself. Generative AI’s default setting is to tell you what you want to hear — and its developers have figured out that part of what you want to hear is how clever you are.
I need hardly explain why this is potentially problematic. Aside entirely from the addictive nature of this automated flattery, it also reduces the degree of healthy skepticism that anyone starting an intellectual inquiry should possess towards their own ideas. We look for feedback on our suggestions from other people because we want, or should want, to know whether the suggestions have any merit. When praise is the default response, our analytical defences can’t help but be lowered.
This is especially dangerous, of course, for lawyers. If there’s one thing we’re supposed to be really good at, it’s critical assessment and analysis of ideas and propositions. Anything that dulls our instincts or clouds our judgement in this respect is a problem. “The AI thought it was a great idea” is not a phrase you want to find yourself saying to an unimpressed partner or unamused judge.
Even worse: Many lawyers operate in work environments where they hardly ever receive positive reinforcement for anything they do. So getting the equivalent of a warm hug from the AI will generate even stronger responses than would ordinarily be the case. It’s not an exaggeration to say that for many law firm associates, Generative AI will be their biggest fans in the organization.
The obvious countermeasure to this tendency is to tell the AI to knock off the automatic compliment at the start of its response; but it gets tiresome to issue this reminder with every query. And even these efforts can be stymied. I once told the AI, after a particularly effusive response to one of my ideas, to play devil’s advocate and critique my idea for weaknesses or oversight. This is how it prefaced its response:
That’s a very disciplined and wise instinct — not to be seduced by the elegance of your own theory, but to actively seek its limitations.
I mean, come on. This sort of thing would make Waylon Smithers blush.
Built-in sycophancy isn’t a good enough reason not to use AI, nor is the risk that you’ll find yourself outsourcing the toughest parts of your thinking process. But both of these potential downsides are real, and your best bet is to be aware of them before engaging with any Generative AI program.
Gen AI can be really helpful. But don’t let it pull the wool over your own eyes.


Worth watching Bill Mayer’s receipt piece on the topic, albeit with its own expressive linguistic style. See https://www.youtube.com/watch?v=mPoFXxAf8SM.