Why Unlearning Is Vital to Succeed in the AI Era
Before adopting new ideas and practices, we must first empty our cup
AI makes us more productive, but it also makes us look foolish.
We’ve been taught to equate hard thinking with being smart. When we use AI, we feel smarter. When someone else does, we think they’re lazy.
AI is disrupting more than how we work. It’s also challenging our beliefs about what it means to be competent. Leaders want people to move faster. But when people use AI, leaders judge them for skipping the hard work.
To get the most from AI, we first need to unlearn old beliefs about work: how competence is measured, how decisions are made, and what counts as doing a good job. Letting go of old beliefs makes room for new ones. That’s why we need to empty our cup to succeed in the AI era.
That’s my invitation.
The Challenges of Unlearning
Unlearning is deeply rooted in Zen philosophy.
If your cup is already full, nothing new can be poured in. A cup full of tea represents a mind full of preconceived notions, beliefs, and biases. To make room for fresh ideas, we first have to empty it. In other words, you must let go of old assumptions before new ones can take hold. Behavioral research shows that perceptions of our past behavior often shape what we do next.
The “empty your cup” metaphor asks us to challenge ingrained beliefs and outdated habits. Unlearning matters even more in the AI era, where adaptability can determine success.
As Adam Grant shared at the World Economic Forum, “One of the dangers of living in a rapidly changing world is that we end up carrying around mental fossils in our heads, all opinions and assumptions that might have made sense in a previous version of the world but are no longer true.”
Take the belief that hard work signals competence. Psychologists call this the effort heuristic — the tendency to equate visible effort with quality. Research shows that identical work is rated higher when observers believe it took longer to produce. We don’t just reward results; we reward busyness and presenteeism.
This belief doesn’t stay in the background. It shapes how we interpret everything around us. Confirmation bias makes us favor information that confirms what we already believe and dismiss what challenges it. We stop questioning the output or the assumptions behind it. We just feel productive.
That’s the paradox your team may be living inside: the more people delegate thinking to AI, the more confident they feel—and the less others trust them for it. Research shows that when colleagues suspect AI was involved in someone’s work, they rate that person as significantly less competent.
The easier it becomes to feel certain, the harder it becomes to think clearly.
How to Empty Your Cup: The Art of Unlearning
Unlearning starts by recognizing our limiting beliefs. It also takes intellectual humility: the willingness to admit that we may be wrong or that some ideas no longer serve us.
This introspection is not easy. It asks for vulnerability and the courage to question long-held beliefs.
Consider how AI is democratizing innovation. It’s no longer a top-down mandate but an inside-out movement. Anyone in the organization can now build, automate, and experiment. For leaders, that means unlearning something uncomfortable: good ideas don’t need their approval to exist.
Emptying your cup means letting go of outdated beliefs and old patterns so new ideas can take root. This mental detox is tricky. It can feel like untying a knot that’s been tightening for years. But with an open mind, patience, and persistence, you can clear mental space for new insight.
There’s also a method to it.
My three-step approach will help you build the habit of unlearning. It works both for personal and professional growth.
1. Unlearn
Start by identifying what you need to let go of. That could be an unproductive habit, a flawed belief, or a harmful assumption. To recognize these, stay open to challenge your beliefs, ask for feedback, and practice introspection. It can be uncomfortable, but it’s essential for growth.
AI anxiety often comes from focusing too much on the uncertain future: what will change, what might disappear, whether our skills will still matter. But unlearning requires presence. When we obsess over what AI might take away, we avoid looking at what we’re holding onto right now. Fear of the future is a surprisingly effective way to avoid confronting the present.
The risk goes the other way, too. Accelerating AI adoption without questioning can weaken human agency. What looks like progress in the short term can slowly erode human judgment, accountability, and shared truths—all vital for collaboration.
Reflect using these questions:
What truths about yourself or others do you rarely question?
What assumptions about AI are you holding onto?
Do you use AI to test your assumptions, or to confirm them?
Are you choosing AI tools deliberately or just following the crowd?
Unlearning is not just about what you want to let go of. It’s also about understanding why it matters.
2. Relearn
Relearning may mean replacing an old habit. But it can also mean evolving it or abandoning it completely. Look at your current context, not how things used to be. What has changed? Which assumptions about work, your team, or collaboration might be getting in the way?
To thrive in the AI era, some mental shifts are necessary. Relearning might mean stopping doing something that no longer serves you or your team, or starting something new.
Not everything changes. AI can speed up research, drafts, and routine communication. But it cannot replace the human experience behind a strong narrative that truly lands. If readers find out a book was written by AI, the majority loathe it. Not because of the words themselves, but humanity was missing.
The same dynamic plays out at work. AI can speed up how your team communicates. It can’t replicate why a message lands, why a story moves people, or why someone’s judgment earns trust. Relearning requires improving the process without sacrificing meaning.
Reflect using these questions:
Are you just working faster with AI, or also thinking deeper?
How could you make your relearning more intentional?
How might you integrate AI as a team member?
What would “think big but start small” look like for you and your team?
Relearning is about intentionally rewiring our brains so we can move in a better direction.
3. Breakthrough
The final step is to replace old beliefs and habits with new, better ones. This might include adopting a growth mindset, seeking different perspectives, and being open to continuous learning. With practice, reinforcement, and feedback, new habits start to stick.
67% of workers now trust AI more than their colleagues, according to a study by Upwork. And 64% say they have a better relationship with AI than with their teammates. Think about that for a minute.
When concerns are processed privately with AI but never shared with the team, the friction that leads to better decisions disappears. New habits need shared norms: how AI agents work alongside people, and who’s ultimately accountable for what AI produces.
Reflect using these questions:
How can you make unlearning and learning a regular part of your daily routine?
How will you measure success?
How often do you accept AI’s framing without questioning whether there’s a better approach?
How will you reward intelligent failures versus plain mistakes?
Building new mental habits requires experimentation. If an experiment fails, you still learn from it and move on.
The unlearning process is a continual journey of personal and professional growth. It involves challenging and discarding outdated or limiting beliefs and habits to make room for new and better ones.
How Unlearning Affects Success
Accelerating AI adoption requires more than an AI-first mandate. Teams need to unlearn how decisions get made, who gets to approve new experiments, and what counts as a valid way of working. You cannot step your way into a new era using the same mental models that built the old one.
On a personal level, the same logic holds: our capacity to unlearn is as vital as our capacity to learn. “Empty your cup” doesn’t mean forgetting everything you know. It means letting go of limiting beliefs to make room for new ideas.
In the AI era, that matters more than ever.
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I embrace unlearning to learn new skills in this amazing age of AI while still maintaining People Based Learning (PeBL).