Cognitive offloading is using an outside tool to carry mental effort a task would otherwise take. A sticky note, a calculator and an AI model all count. At work, the risk isn't the tool. It's people handing over the thinking before they've done any of their own. PowerProv sees this in client teams across Australia, and the fix is more human than technical.
- Cognitive offloading is handing mental effort to a tool. It's normal and often useful.
- It turns risky when people offload the thinking before they've done any themselves.
- Wharton researchers call the next step cognitive surrender: accepting AI's answer as your own without checking it.
- A 666-person study linked heavier AI use to weaker critical thinking, with offloading sitting in between.
- The counter is human: presence, listening, connection and trust in your own judgement. PowerProv trains all four.
What is cognitive offloading?
Cognitive offloading is reducing the mental work a task needs by moving part of it outside your head. The term comes from cognitive psychology. Evan Risko and Sam Gilbert set out the idea in a 2016 paper on cognitive offloading in Trends in Cognitive Sciences.
You do it every day without noticing.
- Memory
- A shopping list or a calendar reminder
- Maths
- A calculator or a spreadsheet
- Navigation
- GPS instead of learning the route
- Thinking
- Asking AI to research, draft, summarise or decide
AI is different from the calculator in one way. A calculator takes one narrow task. AI can take the whole job of thinking: framing the problem, weighing the options and writing the answer. That's why the term has moved out of psychology journals and into leadership meetings.
Is cognitive offloading always bad?
No. Offloading is how people clear working memory for harder problems. A good list lets you focus on the conversation instead of juggling ten things in your head. The trouble starts when the tool replaces the effort that builds the skill.
Jason Lodge and Leslie Loble make this point in a 2026 UTS report on AI and learning. They warn about people treating AI as "a tempting substitute, not an amplifier." The report focuses on school students. The same logic applies to a graduate learning to write a client email, or a new manager learning to run a tough conversation.
A simple test: could you explain or defend the output without the tool in front of you? If yes, you offloaded. If no, you outsourced the thinking.
Overload, offloading, surrender: how AI changes the way teams think
AI tends to pull teams through three stages. Each one feels reasonable at the time, which is why nobody notices the slide.
Cognitive overload: too much coming in
Cognitive overload happens when information and tasks go past what working memory can hold. Messages, meetings, dashboards and notifications stack up. Decisions get slower, details slip, and the brain goes looking for relief.
Cognitive offloading: handing over the task
Under that load, handing work to AI feels like good time management. Summarise this thread. Draft that reply. Often it is good time management. The shift is subtle: the tool starts doing the first round of thinking, not just the admin.
Cognitive surrender: handing over the decision
Wharton researchers Steven Shaw and Gideon Nave describe the next stage as cognitive surrender: "the uncritical acceptance of AI's answers in place of one's own reasoning." Offloading hands AI a task. Surrender hands it the decision, often without the person noticing the switch.
Their experiments involved more than 1,300 people solving reasoning problems, some with an AI chatbot that gave either correct or confident-sounding wrong answers.
Shaw & Nave, The Wharton School, 2026
Even when the AI was wrong about half the time, people felt more confident in their answers.
Does AI make you dumber? What the research says
Not on its own. But heavy, uncritical use is linked to weaker critical thinking, and cognitive offloading looks like the bridge between the two.
Michael Gerlich's 2025 study of 666 people, published in Societies, found a strong link between frequent AI use and cognitive offloading (r = 0.89). It also found a negative link between AI use and critical thinking scores (r = −0.49). Participants aged 17 to 25 leaned on AI the most and scored lowest on critical thinking.
That's a correlation from one study, not proof that AI causes the drop. The direction matches the Wharton work, though, and it matches what leaders describe: work gets faster while the thinking behind it gets thinner.
There's a hopeful finding too. People in Gerlich's study who regularly did deep thinking activities scored higher on critical thinking. Practice still counts.
What can humans do that AI can't?
AI can produce an answer. It can't be in the room. Emotional intelligence, the ability to read people, manage your own reactions and build trust, is still a human job.
- Read the room. Notice the pause, the crossed arms, the colleague who's gone quiet.
- Build trust. People take risks for people they trust, not for a well-written summary.
- Judge the output. Decide whether the AI's answer fits this client, this team and this moment.
- Respond in real time. A live conversation doesn't wait for a prompt.
None of these can be offloaded, because they happen between people, in the moment. They're also the skills that fade when a team spends its day talking to tools instead of each other. PowerProv covers that erosion in more depth in its piece on soft skills erosion, and on building EQ in emotional intelligence training.
“Well suited to any organisation that wants to help their teams connect more, improve focus, active listening and have fun.”— Katrina M., People and Culture
From AI to I.A.: what does "I am" look like at work?
Eran Thomson's answer to AI is I.A.: I am. It's a reminder that the part of work AI can't reach is the part where you show up as yourself. I am present, aware, confident, connected, collaborative, actively listening, ready to respond, here to learn and grow, and authentically human.
Here's what each one looks like at work, next to what cognitive surrender looks like instead.
| I am… | At work, that looks like | Surrender looks like |
|---|---|---|
| Present | Eyes up and engaged in the meeting | Half-listening while AI takes the notes |
| Aware | Noticing how a message landed | Sending the AI draft without rereading the room |
| Confident | Backing your own read on a problem | Deferring to the tool because it sounds sure |
| Connected | Knowing what's going on for a colleague | Knowing them only through their chat status |
| Collaborative | Building on a teammate's idea out loud | Everyone prompting alone, then merging outputs |
| Actively listening | Hearing the need behind the words | Skimming the AI summary of the call |
| Ready to respond | Answering live, even when unsure | "Let me come back to you" while checking the tool |
| Here to learn | Wrestling with the hard bit first | Skipping straight to the answer |
How PowerProv keeps teams thinking for themselves
PowerProv builds the skills that cognitive surrender wears down. Teams get on their feet and think, listen and decide together in real time. There's no tool to hide behind, which is the point.
Three parts of the PowerProv method matter most here:
- Confidence comes from the ensemble mindset. Team members walk in trusting that everyone has their back, will support their choices and will treat mistakes as learning, not blame. With that in place, people back their own judgement instead of deferring to a tool that sounds sure.
- Thinking on your feet means trusting your instinct. It's trusting yourself to have the right answer, even in the moment you're not sure you do. That's the opposite of surrender. More in PowerProv's guide to quick thinking training.
- Ideas and decisions are separate stages. PowerProv teaches divergent thinking ("yes, and" every option without judging it) apart from convergent thinking (narrow down and choose). It's a useful way to think about AI too. Let it widen the options if you like, but keep the choosing human.
“It's a safe, fast-paced, mind-expanding environment and gets you thinking differently about how to solve problems.”— Kamal S., Management Consultant
The results are measured, not assumed. PowerProv's Personal Power Index™ is an ongoing longitudinal study that measures participants' skills before and after each workshop.
PowerProv Personal Power Index™, ongoing study since 2023
PowerProv isn't a comedy workshop, and nobody has to perform. Sessions are introvert-friendly, HR-approved and built for teams of 12 or more, in person across Australia and APAC or online. They're also genuinely fun, which is a big part of why the skills stick.
How can leaders stop cognitive surrender on their team?
Don't ban the tools. Change the order: human thinking first, AI second, human judgement last.
- Think before you prompt. Write down your own answer or hunch before opening the tool.
- Explain it back. If someone can't explain an AI output in their own words, it isn't ready to send.
- Keep decisions in the room. Use AI for options. Make the call together, out loud.
- Protect the human reps. Live conversations, stand-ups without screens and feedback given face to face.
- Train the skills directly. Presence, listening and confidence respond to practice, not policy.
That last step is where PowerProv's programs for leaders start.
- Offloading is fine. Surrender isn't. Handing a tool the admin clears your head. Handing it the decision, unchecked, weakens it.
- The skills AI can't supply are the ones at risk. Presence, listening, confidence and connection fade without practice, and they're exactly what teams need to judge AI's output.
- From AI to I.A. PowerProv trains the human side of work so teams stay in charge of their own thinking.
AI will keep getting better at thinking. The job for people is to keep doing it too. Going from AI to I.A. means choosing to be present, connected and confident enough to trust your own mind, and to keep learning, building and doing good work together.
Book a discovery call to talk about your team, or see how it works first.
Sources
- AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking · Societies (MDPI), Michael Gerlich, 2025
- Thinking Fast, Slow, Artificially: AI and Your Brain · Wharton Executive Education
- Thinking: Fast, Slow, and Artificial: How AI is Reshaping Human Reasoning · SSRN, Shaw & Nave
- Artificial intelligence, cognitive offloading and implications for education · University of Technology Sydney, Lodge & Loble, 2026
- Cognitive Offloading · Trends in Cognitive Sciences, Risko & Gilbert, 2016
- Personal Power Index™ · PowerProv
Frequently asked questions
What is an example of cognitive offloading?
Writing a shopping list, setting a calendar reminder, using a calculator or following GPS are all cognitive offloading. At work, asking AI to summarise a meeting or draft an email is the modern version. Each one moves part of the mental effort out of your head and into a tool. That clears space for attention, as long as you still understand what the tool produced.
What is cognitive offloading with AI?
It's using an AI tool to take on mental work you'd otherwise do yourself, like researching, summarising, drafting or deciding. It becomes a problem when the AI does the thinking before you've done any, so you can't explain or defend the result. A 2025 study by Michael Gerlich linked heavy AI use to more offloading and lower critical thinking scores.
What is another word for cognitive offloading?
Close terms include cognitive outsourcing, external memory and extended cognition. Researchers often use outsourcing for the harmful version, where a tool replaces the effort needed to learn a skill. Wharton researchers use cognitive surrender for the most extreme version: accepting an AI's answer as your own without checking it.
What are signs of cognitive overload at work?
Common signs include struggling with simple decisions, rereading the same message several times, forgetting what someone just said and feeling foggy by mid-afternoon. Constant notifications, back-to-back meetings and multitasking make it worse. Overload matters because it pushes people to hand more of their thinking to AI just to cope.
Does using AI dumb you down?
Not automatically. Research links frequent, uncritical AI use with weaker critical thinking, but how you use it matters most. Treating AI as a sparring partner after you've done your own thinking keeps skills sharp. Treating it as the first and final answer lets them fade, the same way an unused muscle does.
Is AI bad for the brain?
The clearest concern in current research is skills and habits. Abilities like critical thinking, memory and judgement need regular practice, and heavy AI use can quietly remove that practice. Researchers at UTS warn that AI is most risky when people use it as a substitute for effort rather than an amplifier of it.
What is cognitive surrender?
Cognitive surrender is a term from Wharton researchers Steven Shaw and Gideon Nave. It means accepting an AI's answer in place of your own reasoning, without really checking it. In their experiments, accuracy fell 15 percentage points below a no-AI group when the AI gave confident wrong answers, and people felt more confident anyway.
Can training help teams rely less on AI?
Yes, when it builds the skills AI can't supply. PowerProv workshops get teams of 12 or more thinking, listening and deciding together in real time, with no screens involved. PowerProv's Personal Power Index™ shows 98% of participants improve self-confidence and thinking on their feet, and 82% improve decision-making.
