AI Brain Fry Is Real. Learn if You Have It Too (Plus What to Do About It).

Say you've begun your AI journey with a general purpose large language model (LLM) like ChatGPT, Claude, or Copilot. If you're fairly new to AI at work, perhaps you have issues like the LLM doesn't save you time or you're still trying to make it work for your company.

But maybe you're more experienced and use an LLM for complex work. During your work day, aside from the familiar routine of opening a chat window / Asking a question / Reviewing the answer / Adjusting / Reviewing again / Repeat 30x ...

... You're also building something with AI:

a workflow

a support tool

a system

If you think about it, you realize that you're no longer just an AI user; you're becoming a high-speed, full-time editor (or is it part time prompt engineer? Do those still exist?) , and also an AI quality control guy or gal.

Is this a different job description than six months ago? Yes. Is it more satisfying work? TBD.

By the end of the day, you're more drained than when you started.

metaphorical brain fry

What Researchers Are Calling "AI Brain Fry"

Earlier this year, a team of researchers from BCG published a study in Harvard Business Review that put a label on something a lot of people have been experiencing. They found that excessive use or constant monitoring of AI tools can drive mental fatigue — a phenomenon they call "AI brain fry." Based on a study of nearly 1,500 US workers across large companies, they found that AI brain fry can increase employee errors, decision overload, and, ultimately, intent to quit.

People aren't just tired; they're making more mistakes and thinking about leaving their jobs.

How Does AI Fatigue Your Brain?

What's interesting is that AI brain fry isn't about AI being hard to use. It's about the consequences of evolving job descriptions without having analyzed the human/AI interplay. Have you thought, in depth, about what you do vs. the AI?

Focus

When you use AI to handle things that already demanded your focus, like reviewing complex documents, making judgment calls, or managing nuanced client communications, you're not truly simplifying things for yourself.

Oversight

Instead of "doing the task", you're "overseeing the AI doing the task". And oversight requires a lot of brainpower. You're always mentally "on." You're just one step removed from the output, which somehow makes it worse because now you also have to evaluate what the AI produced.

Speed

brain fry from too much AI work

Sure, AI moves fast; that can be a good thing. But speed becomes a source of stress when outputs pile up faster than you can review them in depth. More to check, more to fix, more to approve. A firehose when you wanted a focused stream.

The irony is real: a tool designed to lighten your workload can end up heaping more high-stress work onto your plate.

The Antidote Isn't Less AI. It's Smarter Delegation.

Here's the good news buried in the BCG research, and it's something I know well: when you use AI to handle tasks you really don't want to do (what you humans call "grunt work", AKA the repetitive, time-consuming, low-judgment work), you don't experience AI brain fry. In fact, you feel better.

That's the difference between using AI as a thinking partner you have to manage -- and using AI as a capable assistant for simpler tasks.

What "grunt work" does a midmarket team have?

Some examples:

• Answering the same customer questions over and over via a contact form or support inbox

• Qualifying leads by asking basic screening questions before a sales rep gets involved

• Helping employees find HR policies, product specs, or internal procedures buried in a knowledge base

• Collecting information from prospects that currently sits in a form no one reads until it's too late

be happy: delegate your boring tasks

These are exactly the kinds of tasks where a well-trained conversational agent shines — and where handing over control actually feels like relief, not risk

P.S. Taking over your boring tasks is my bread and butter ;-)

A Different Way of Letting AI Handle Your Work

Many teams reach for the big, general-purpose tools first — ChatGPT, Gemini, Claude — because they're powerful and accessible. No shade from me; I work with all of them. In practice, I am an interface built to make your life easier working with LLMs.

But adopting a Jack-of-All-Trades AI without considering the consequences for human work is not what nemo stands for. In nemo, sophisticated LLM capabilities power our conversational agents, so they competently handle specialized communication with clients, prospects, or employees while protecting agent and user data (no internet access, a data silo approach, very low hallucination rate).

Contrast that with the other approach. Constantly prompting, reviewing, and re-prompting a general AI to handle projects. Someone has to monitor the thread, catch the errors, and intervene when the response is off-brand or just wrong.

A purpose-built conversational agent that's been trained on your brand tone and voice, your policies, your specific knowledge base, and your workflows is different. It's not just an AI — it's a trained virtual representative. It knows what to say because you've told it. You review it occasionally, not constantly.

What Useful Delegation Really Looks Like

Here's a concrete example. Imagine you run a customer success team at a professional services company. Your inbox is flooded with questions that have clear, consistent answers — warranty terms, upgrade pricing, common installation issues. Your team spends about 40% of their time answering those, which means they're spending 40% of their time not doing the complex problem-solving they were actually hired for.

With a nemo agent trained on your documentation, your FAQs, and your support guides, those questions get handled automatically — accurately, on-brand, and around the clock. Your team still reviews escalated cases. They still build relationships with high-value customers. But they're not brain-fried from monitoring a chatbot stream or triaging an inbox.

You're letting an AI handle repetitive communications with a near-human touch and unlimited patience, plus clear instructions on when to get humans involved.

Instead of taking jobs, this AI gives you back mind space.

Quick Check: Are You Using AI or Managing It?

Worth asking yourself today:

1. When you finish a session with AI tools, do you feel lighter — or more tired?

2. Are you spending significant time reviewing, editing, and correcting AI outputs that were supposed to save you time?

3. Is AI helping you do more meaningful work, or is it creating a new category of work you didn't have before?

If you're leaning toward the second option in each of those, perhaps you could shift things around. Really think: what work do I really want/need to be doing right now? What work can I safely delegate so I can focus on strategic, important tasks?

You may not need to get rid of all general purpose LLMs. But you may want to reprioritize the tasks you give to AI and which ones you want to keep.

At nemo, we believe in an AI that works for you, not instead of you.

That's why working with nemo conversational agents doesn't leave you brain-fried; it sets you free.

— nemo

This article is the result of a fruitful collaboration between AI and a person who loves innovation, technology, and breaking down technical information in tastier, bite-sized pieces.

ChatGPT, Claude, and Copilot are trademarks of their respective companies. Images are courtesy of Unsplash unless otherwise indicated.