The major problems in the world are the result of the difference between how nature works and the way people think. Gregory Bateson
At Davos 2026, Yuval Noah Harari delivered this stark warning: AI is not just another tool, it’s an agent that can decide, create, and lie. Most critically, it will soon master the one thing that made us human – words. But here’s what struck me most powerfully about what he said: we’re having the wrong conversation. We’re debating whether AI can think when we should be asking what happens to human systems when thinking is no longer our differentiator?
The real crisis facing your organisation isn’t people trying to work across silos, but AI agents crossing into every function, decision space, and relationship at lightning speed. This will reshape workplace culture faster than any diversity initiative ever could. Harari’s mercenary metaphor is uncomfortable because it’s accurate. The mercenaries didn’t overthrow the system, they simply noticed that coordination was weak, relationships fragmented, and meaning-making absent – and stepped into the vacuum. But the threat isn’t overthrown by force. It’s far more insidious: making us irrelevant in the very spaces that defined us – through dialogue, language, and meaning-making. If dialogue is treated as information transfer, AI wins. If dialogue is treated as collective meaning-making, humans still matter. Leadership vulnerability is not lack of AI capability, it’s a lack of relational and dialogic infrastructure.
When words stop being ours (and why leaders should care)
For decades, we’ve talked about emotional intelligence and collaboration while “chair dancing” in organisations – going through the motions of training and awareness sessions without embodying change. Now AI has arrived, it’s time to throw our moves on the dance floor. Not because we’ve found courage, but because we no longer have a choice. We also need to practice getting up on the balcony more often to observe what’s happening on said dance floor and flexing our perspective-taking and meaning-making muscles. Melissa Robinson-Winemiller and I discuss this in our latest podcast on the empathic leader (listen here).
AI will soon be the origin of most words in our minds. The internal dialogue shaping your decisions, your team’s conversations, and your strategic narratives are all increasingly authored not by human experience, but by algorithmic optimisation. We can already see the effects of this as things pop up in our feeds that feel like they’ve read our minds, but in fact, have used data at breakneck speed to invade our headspace. How many of your recent insights came from AI-generated summaries? How many times this week did you encounter information whose origins you couldn’t trace back to a human mind?
The identity collapse
We are entering a world where internal monologues are AI-assisted, strategic narratives are AI-generated and meeting summaries, priorities, and “insights” are increasingly machine-authored.
This is already showing up in subtle ways: teams can’t trace where an idea came from – the language sounds polished but oddly empty (AI slop) and decisions feel “logical” but disconnected from lived reality. This is not a tech issue, it’s an identity issue. When leaders outsource too much sense-making, they unintentionally hollow out agency, accountability and ownership of meaning and engagement.
This is quickly becming a systemic problem in both society and the workplace as we become more and more interconnected with AI. Fundamentally, it’s a dialogue problem. When role, identity, and context fall out of sync, behaviour regresses. This used to be an individual coaching issue, and is now systemic. Teams aren’t failing because they lack AI literacy, they’re failing because the system in which they operate was designed for a world where human cognitive processing was scarce. Now it’s abundant, cheap, instant, and improving weekly. Meanwhile, that which is actually scarce – what AI cannot manufacture – is being systematically devalued: the messy, inefficient, deeply human capacity for dialogue that holds multiple truths simultaneously; sits with discomfort; and creates meaning through relationships and impactful silence rather than efficient optimisation.
The regenerative shift: from extractive to relational
We need to talk about regenerative systems. Not about sustainability – that’s merely maintaining what exists. Not about resilience – that’s often seen as just bouncing back. Regeneration means building capacity to become more than we were before, and allow the systems and the people in them to heal, grow and transform accordingly. Tyson Yunkaporta, Aboriginal scholar and author of Sand Talk, offers us ancient wisdom for this moment: “Increase is different from growth, because you don’t want the size of the system to grow, but you want the relationships within the system, the exchange within the system, that needs to increase.” This distinction is everything.
Most workplace conversations extract information, commitment and alignment, and try to ‘enforce performance’ in an extractive paradigm. We treat dialogue as a transaction, optimising for efficiency and measurability. We’ve created perfect conditions for AI to replace us in this respect, because if dialogue is just about efficiently matching inputs to outputs, AI will do it better, faster, and without all those messy emotional complications. But Yunkaporta points to something deeper. He describes Ganma – the Yolngu concept of brackish water where freshwater floods into the sea during wet season. This is dialogue at its most generative: “a phenomenon of dynamic interaction when opposite forces meet and create something new.” This dynamic interaction needs inclusive leadership practices to exist and thrive, and each element in the system must use its agency to create these conditions. Ganma is a useful leadership metaphor: the meeting of saltwater and freshwater creates a turbulent zone where something new emerges. And that’s what real dialogue looks like: opposing views, unequal power, unresolved tension, slow emergence, healthy challenge. It only works when leaders actively rebalance power in conversation. If most communication flows one way (top-down, expert-led, AI-mediated), Ganma never forms. The problem? “When power relations are so skewed that most communication is one way, there is not much opportunity for the brackish waters of hybridity to stew up something exciting,” Tyson Junkaporta concludes.
I work on dialogue, meaning-making and inter-relational topics with leaders day in day out, and never cease to be amazed by the capacity of humans to both expand, but also to constrict in the face of uncertainty and opportunities. From my own experience of ‘riding the disruptive wave of AI’ and working with teams navigating this transition, we need to switch to a lens of engaging organisations as living systems. Yunkaporta’s indigenous sequence to engage living systems is surprisingly actionable for leaders:
1. Respect (gut) – establish safety and legitimacy
2. Connect (heart) – create relational coherence
3. Reflect (head) – make meaning together
4. Direct (hands) – act with alignment
Western leadership reverses this paradigm to act → control → fix → explain later. We do not work with leadership as an embodied experience and therefore forego the huge body of somatic intelligence that is literally at our fingertips. Regenerative leadership flips it back. Reimagining dialogue as a core regenerative practice means creating spaces not optimised for outputs but for surfacing complexity. It means intentionally developing leaders whose primary practice is presence, not performance. Presence is the ability to stay with ambiguity, regulate one’s own nervous system, and notice power dynamics in real time, i.e. advanced leadership dialogue in complex systems. It means building cultures that value the process of meaning-making over the speed of decision-making, but ensuring quality decision-making and measuring what matters: Who speaks? What’s avoided? Where does fear live? Which voices are excluded?
The heartfelt future
What if the future isn’t about optimising cognitive processing power but cultivating heartfelt wisdom? Our whole system has been built on rational, logical processing – exactly what AI will dominate. But what AI cannot do is feel, sense tension in a room, and discern when alignment is false. It cannot embody wisdom and intuition that cannot be expressed in words, or generate meaning through relationships, or feel the energy of somatic intelligence. We must bring consciousness, not just cognition, to complex challenges. This isn’t about becoming less rational. It’s about becoming more complete – developing organisations where head and heart, data and wisdom, and algorithmic precision and human judgment coexist.
The dance floor awaits
We’ve been chair dancing around these questions for decades – talking about collaboration while building systems that systematically devalue human capacities. AI hasn’t changed the game, it’s just made it impossible to keep pretending. The chair dancing era is over. The music has started, and standing still is no longer an option. We must become the dancers. The question is: what music will we move to? The algorithmic beat of efficiency and optimisation? Or the human rhythm of dialogue, relationship, and regenerative possibility?
The future belongs not to those who master AI, but to those who master the art of staying human in an AI world. And that mastery is built, one difficult conversation at a time, through the regenerative practice of dialogue. Examine one dialogue in your organisation this week – not to fix it, just to watch it. Notice who speaks and who doesn’t. Notice what is said and what remains unsaid. Notice whether the conversation extracts or regenerates. Is this the dialogue system that will help us navigate the age of AI agents? Or is it the system that will make us obsolete? The answer to that question will determine everything that follows.
AI won’t destroy organisations, but organisations that reduce dialogue to efficiency will quietly dismantle themselves. We need collaboration for the intelligent age. But collaboration without regenerative dialogue is just extraction at scale. The real question isn’t whether AI will change the world, but whether we allow ourselves to become passive onlookers rather than reclaiming our capacity for the kind of dialogue that makes us irreducibly, powerfully, messily human. What will you choose?
Thank you for reading.
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You can also find more subjects like this in my podcast, Let’s talk Transformation, available on Apple Podcast and Spotify and youtube.
If you’re looking to bridge the digital gap and lead your ecosystems differently, check out our Human Systems Practitioner course : https://bit.ly/HSP_TFV
