By Emma Weber — AI Transformation Advisor and Author. Emma Weber has spent 23 years in behaviour change and learning transfer, helping organisations globally navigate the human side of AI transformation. Founder of Being Human in the Age of AI.
I go to a lot of conferences. Ask anyone who knows me and they'll confirm it with a smile. I love being in amongst peers and colleagues, in amongst the conversations about what's actually happening, what people are really thinking, what's keeping them up at night. Recently I was at the Hunter Valley Learning and Development Symposium - a room full of smart, committed, deeply well-intentioned people thinking hard about what AI means for organisations and the people inside them. And I came away with something I've been turning over ever since. We're still having the wrong conversation.
The conversation at the conference was still very much about the technology. How we're going to use it. What it can do. Which tools are worth investing in. Governance frameworks. Adoption rates. How we need to position learning. All of that matters, of course. But I kept waiting for the conversation to shift - to what I see as the more important questions. How we are going to show up as humans inside this new relationship with technology.
When the human side did come up, it landed in familiar territory. Judgement. Critical thinking. Adaptability. Curiosity. The skills we've been trying to train people - particularly leaders - in for years. Often with mixed results, if we're honest.
And I'm finding this troubling. We're treating these capabilities like they're new problems that will be solved by the same approach to learning we've been doing for years. But they're not new problems. Organisations have been working on critical thinking and adaptive leadership for decades. The question isn't whether we need these skills - obviously we do, more than ever now, in fact it's now an imperative. The question is why the traditional approaches keep falling short. And whether doing more of the same thing, faster, is actually going to get us where we need to be.
I don't think it will. And I've been thinking about why for a long time.
The problem with mindset
In my original book back in 2014, I wrote that our thoughts, feelings, values, beliefs, fears, needs and identity shape our behaviours. Everything downstream from how we perform, how we lead, how we relate to others - all of it traces back to this deeper internal landscape.
The learning leaders who really get this know that learning isn't about the knowing - it's about the doing, and doing under pressure where the stakes are high. Learning transfer has long been a way to tackle this gap. And for twenty-three years, the work I've been doing has started from this premise. But somewhere between the theory and the practice, we haven't yet resolved this tension. I've concluded that the behaviour change drivers need to go deeper - at all stages of the learning. This means going way beyond mindset.
Mindset has become the linchpin of learning and development. Growth mindset. Fixed mindset. Leadership mindset. Change mindset. And look, mindset work has value - I'm not dismissing it. But I am saying it's not enough anymore. And in the context of what AI is now asking of us as humans, it may actually be getting in the way.
Mindset is fundamentally cognitive. It lives in the thinking brain. Identify the thought pattern, challenge it, replace it with a better one. That's the basic model. And that model made reasonable sense in a world where the biggest demand on humans was mostly cognitive too.
But AI is cognitive. Extraordinarily, relentlessly, comprehensively cognitive. It processes information, recognises patterns, generates language, analyses data - all the things we used to think were distinctly human. And it does them faster and at greater scale than any of us ever will.
So if we meet this moment by doubling down on our cognitive capabilities alone, we're competing in the one domain where we are definitively outgunned.
The opportunity - the genuine human opportunity in the age of AI - is something different. Something that can't be replicated, optimised, or automated. And we're not going to access it by talking about mindset.
The whole system - and the vibe
What I want to talk about instead is what I've started calling the vibe.
I know. It sounds a bit loose. Maybe even a bit "hey man" - flower-power era, definitely not the language you'd expect in a conversation about AI transformation. But as we step into a world that's asking us to be less mechanistic, less constricted, more at ease with emergence and uncertainty - getting comfortable with a little less rigidity might actually be the whole point.
When I talk about the vibe, I mean something specific. I mean the whole signal that a person is putting out - and picking up - at any given moment. We've all experienced it. You walk into a meeting room and you can feel the atmosphere before a word is spoken. Someone arrives at work and within thirty seconds the whole team knows what kind of day it's going to be. A leader steps in front of their organisation and something either lands or it doesn't - independent of what they're actually saying.
And that's not coming from mindset. It's something more whole than that, more embodied - the full system of who that person is in the room.
The vibe is created by three systems working together: brain, body, and biofield. The biofield is a term formally introduced by the US National Institutes of Health in 1992 - defined as the field of energy that surrounds and permeates a living body and affects how it functions. Think of it as the part of you that other people pick up on before they've consciously registered anything. Research by the HeartMath Institute has demonstrated that the heart generates an electromagnetic field measurable several feet outside the body, and that different emotional states produce distinct, measurable patterns in that field. We've all felt it. These three systems work in concert, constantly, whether we're paying attention or not.
The mind contributes its part. But so does the body - the nervous system, the gut, the physical state you're carrying. Work drawing on Polyvagal Theory, developed by Dr Stephen Porges, shows how the autonomic nervous system continuously shapes our capacity for genuine connection, collaboration and creativity - quite independently of what we think we're communicating. And the combination of brain and body together generates an emotion.
Here's where it gets interesting, and where I think leaders especially need to develop awareness.
We have become extraordinarily skilled at managing our emotions in the workplace. Or more precisely, at suppressing them. Overriding them. Presenting the professional front while the actual emotional data underneath stays unexamined. Research on negative emotions in the workplace consistently finds that surface-level emotional management - performing the expected emotion rather than regulating genuinely - is associated with reduced team performance, lower trust, and burnout.
Most of us have what I'd call a go-to emotion - the one we wear as a kind of default in professional settings. Composed. Enthusiastic. No-nonsense. Measured. And that surface emotion is often doing a job: keeping the more uncomfortable feelings underneath from coming up. And even when those deeper emotions do start to surface, we often reach for a safer label - overwhelmed, depleted, burnt out. What this leaves unexamined is the reality underneath: the frustration, the fear, the doubt, the grief about a way of working that's disappearing.
Mindset work, even good mindset work, often reinforces this pattern. We identify the unhelpful thought, we reframe it, we move on. We never actually ask what's underneath it. What emotion is that thought protecting? What belief is underneath that emotion? What might it tell us about ourselves if we actually looked?
Going deeper: the Socratic project
Socrates said it. Know thyself. It sounds like philosophy. But in the context of what AI is now asking of us, it's a practical leadership imperative.
Because the behaviours that organisations are trying to develop in their people - real judgement, genuine adaptability, authentic leadership - are not skills you can train in the conventional sense. They're expressions of who you are. And who you are is shaped by the beliefs, values, fears and identity structures that are mostly running in the background, unexamined.
So the question of how we help people show up differently in an AI-augmented world isn't really a traditional learning question. It's a becoming question.
The deeper work is to surface what's actually there. Not to erase it or suppress it or reframe it with a more positive thought. But to examine it. Is this belief true? Is it useful to me now? Is it actually mine - or did I absorb it somewhere along the way and just never questioned it? And when we can ask those questions with genuine curiosity rather than defensiveness, something shifts. Not because we've fixed a thought pattern, but because we understand ourselves better. And from that understanding, we can operate from a different level entirely.
There was a session at the Hunter Valley symposium that I found powerful - a review of a high-stakes business case simulation that put leaders into real contexts and asked them to apply judgement under pressure. That kind of contextual, pressure-tested experience can really surface the emotions. What I would encourage is going beyond the cognitive decision-making layer. What if we also explored the internal state those leaders were in during the simulation? What emotions were running? What beliefs shaped the choices they made? What was the vibe they were bringing into the room?
That's the next layer we will need to start embracing if we want to make a genuinely human difference in the age of AI.
What we're really talking about
The industrial age built organisations on a machine model of people. Input, process, output. Manage the behaviour, manage the performance. Treat the human as a sophisticated unit of production. We've been trying to lead people from that framework for over a century. And it's always been a partial answer at best - mainly because the systems of the business reinforce it, even when we've been asking our leaders to show up in a different way.
AI is not going to fix this. AI is going to make the inadequacy of that model impossible to ignore. AI is going to amplify the disconnect between the way we want people to lead and the way we'll actually need people to lead - beyond the cognitive, outside the neat frameworks, in the messy stages and phases that will emerge. Deloitte's research on high-performing teams identifies curiosity, resilience, divergent thinking, and social and emotional intelligence as the defining human capabilities in the AI era - and these are not skills you can train conventionally. They are expressions of who you are.
When the cognitive tasks are handled, when the information processing is automated, when the pattern recognition is delegated to a system that never gets tired or distracted or politically hesitant - what's left is us. The full human. With all our complexity, our depth, our capacity for genuine connection and wisdom and discernment.
This is an invitation. And one I hope people don't ignore.
To step into this new way of being human, we have to stop treating the surface of ourselves as the whole story. We have to go beyond mindset. Into the body. Into the emotion. Into the beliefs and values and identity structures that are actually driving what we do. We have to get to know ourselves, properly, in a way that most leadership development programmes have never really asked of us.
The vibe we bring to this new world of work - the whole integrated signal of who we actually are - will matter more than it ever has before.
And in my view, that's where the truly human work begins.
I'd love to hear whether this lands for you - especially if you're sitting inside an organisation trying to figure out exactly this. What are you seeing? What are you running into? (Always happy to talk - drop a comment or DM me, or reach me at emma@emmaweber.com.)
Frequently asked questions
Why isn't mindset training enough for leaders in the age of AI?
Mindset training is fundamentally cognitive - it works by identifying thought patterns and replacing them with better ones. But AI is extraordinarily capable in the cognitive domain: it processes information, recognises patterns, and generates language faster and at greater scale than any human. If organisations respond to AI by doubling down on cognitive capabilities alone, they are competing in the one arena where humans are definitively outgunned. The genuine human opportunity in the age of AI lies in capacities that cannot be replicated or automated - in the body, the emotions, and the deeper beliefs and identity structures that shape how people actually show up.
What is 'the vibe' in leadership and why does it matter?
The vibe refers to the whole integrated signal that a person puts out - and picks up - in any given moment. It is not mindset, which is cognitive; it is something more embodied - the full system of who that person is in the room. The vibe is created by three systems working together: the brain, the body (including the nervous system and gut), and the biofield - the field of energy that surrounds and permeates a living body, formally recognised by the US National Institutes of Health in 1992. In an AI-augmented world, where cognitive tasks are increasingly automated, the quality of a leader's presence - their vibe - will matter more than ever.
What is the biofield and how does it relate to leadership?
The biofield is a term formally introduced by the US National Institutes of Health in 1992, defined as the field of energy that surrounds and permeates a living body and affects how it functions. Research by the HeartMath Institute has demonstrated that the heart generates an electromagnetic field measurable several feet from the body, and that different emotional states produce distinct patterns in this field that others can physically detect. For leaders, this means that their internal emotional state - not just their words or body language - is transmitting information to the people around them, whether or not they are conscious of it.
How should organisations approach leadership development differently because of AI?
Organisations need to move beyond programmes that focus primarily on skills and cognitive reframing, and invest in development that goes into the whole person - including the body, emotional intelligence, and the deeper beliefs and identity structures that drive behaviour. Deloitte's research identifies curiosity, resilience, divergent thinking, and social and emotional intelligence as the human capabilities that define high-performing teams in the AI era - and these are not skills you can train conventionally. They are expressions of who you are. The question for learning and development is not how to teach these capabilities, but how to help people examine themselves deeply enough to access them.