Executive Summary
How should leaders approach AI adoption without losing the creativity and human connection that drive innovation? Dr Vlad Glaveanu, founder of Possibility Studies, argues that constraints enable creativity rather than block it—and that ethical boundaries must guide what we choose to build.
Core insights:
- Creativity requires constraints—boundaries help us know when we’re being creative because we know when we cross them
- Psychological safety through playfulness enables risk-taking, flexibility and learning from mistakes in teams
- The ethics of AI adoption asks: just because something could be, does it mean it should be?
- “Slow AI” counters the rush to solutions—waiting and incubation drive genuine innovation
- AI is a “maximiser of possibilities” but cannot replace the human judgement that serendipity requires
- Leaders should welcome resistance, foster psychological safety through play, and never delegate to AI the business of humans
What Is Possibility Studies? A New Framework for Innovation
Possibility Studies emerged during the pandemic—”an age of impossibility or wild possibility, something you could never imagine could happen,” as Vlad describes it. When humanity faces its greatest hardships, we re-engage with fundamental human traits: the capacity to imagine alternatives, think in terms of “what if”, and engage with something beyond our immediate environment.
Unlike Future Studies, which focuses primarily on what lies ahead, Possibility Studies expands the territory. “The future is one domain of possibility among others,” Vlad explains. We also play creatively with the past through alternative histories, examine possible presents, explore possible selves and possible worlds.
For business leaders, this reframing matters. Possibility isn’t the opposite of reality—it’s how we engage with reality. Every conversation, every perception, every memory is infused with possibilities. Understanding this opens new approaches to innovation, strategy and team leadership.
Why Creativity Requires Constraints, Not Freedom
Business executives often view constraints as obstacles to innovation. Vlad offers a different perspective entirely.
“There is no creativity without constraints,” he states. “If there is no boundary, we don’t know when we’re actually being creative because we don’t know when we cross the boundary.”
He illustrates this with a classroom exercise: telling students to “draw something” versus “draw a house”. Even adding a tiny constraint guides the imagination. People can actually get blocked without constraints—the blank page paralysis that afflicts writers and innovators alike.
This connects to the Playground Paradox discussed in earlier Arkaro podcasts: children on a playground without a fence stay cautiously near the swings, but once a boundary is visible, they explore to the limits. The fence doesn’t constrain play—it enables it.
The greatest creators understand this intuitively. Danish research with photographers reveals that some of the best practitioners deliberately choose analogue techniques over digital—accepting they won’t see their shots until development. “There is something in the resistance of that material that actually makes the process different and more authentic, more creative.”
This self-imposition of constraints isn’t masochism. It’s recognition that limitations focus creative energy and force novel solutions.
How Playfulness Builds Psychological Safety in Teams
When adults hear “play”, they think of children. But playfulness is a fundamental human trait—one essential for innovation and team performance.
“We’re being playful right now in our conversation,” Vlad observes. “We use humour. We make things more relative, more open, more flexible, and we allow ourselves to make mistakes.”
This connects directly to psychological safety in teams. Risk-taking, managed risk, intelligent failure—these depend on environments where mistakes lead to learning rather than punishment.
Vlad highlights a technique called the “bad idea brainstorm”, developed by Tom Ormerod and colleagues. Instead of seeking great ideas, teams compete for the worst idea. “People would be shocked at first,” Vlad admits, “but it is one of the most exhilarating exercises. And actually, if you use that method, you learn from the bad idea, because what makes it a bad idea? Sometimes a bad idea might not be that bad.”
The technique works because it removes the threat response that kills creativity. When the goal is the worst idea, nobody fears judgement. Psychological safety emerges naturally, and with it, genuine exploration.
The Ethics of AI Adoption: Could Be Doesn't Mean Should Be
Silicon Valley’s famous motto—”move fast and break things”—represents one approach to innovation. Vlad offers a sobering assessment: “Sadly, I feel we’ve broken way too many things.”
This observation leads to what he calls the ethics of possibility: “If something could be, does it mean that it should be? I think there is almost a bias in the way we think that if we imagine something, then we have to make it happen.”
Creativity is never a purely individual act. Even when working alone, we operate within society and culture. We create with and for others. This reality should give us a sense of responsibility—or as Vlad puts it, we should be both careful and “care-full, with double L”.
For leaders navigating AI adoption, this ethical dimension cannot be an afterthought. The environmental costs, copyright questions, and impact on human relationships all require attention. As Vlad frames it in Kantian terms: “AI is a means, but do not let it turn other people into means.”
Slow AI: Why Rushing Undermines Innovation
Against the backdrop of AI hype, Vlad and his colleague Ron Beghetto advocate for “slow AI”—a counterintuitive position that draws on creativity research.
“A lot of creativity work, innovation work shows that actually it’s the waiting and the incubation that makes things grow and take a different turn,” Vlad explains. “We should not jump to solutions that quickly.”
AI functions as a “maximiser of possibilities”—input a query and receive multiple options instantly. But this speed carries risks. When AI saves time, what do we do with that freed capacity? Vlad worries that “in our go, go, go society, we’re going to fill that time with more tasks” rather than allowing the incubation that genuine innovation requires.
The slow AI approach doesn’t reject the technology. Instead, it reimagines how we use it. Ron Beghetto has developed “possibility bots”—chatbots that ask more questions than they give answers, slowing the rush to closure and deepening exploration.
There’s also the question of context dependence. An AI agent that books business travel efficiently serves a genuine need. But the same technology applied to family holiday planning might strip away the discussions, disputes and shared anticipation that make the experience meaningful. Knowing when to use AI—and when not to—may become the essential leadership skill of the coming decades.
Why AI Cannot Replace Human Creativity and Judgement
Vlad’s colleague Wendy Ross researches serendipity—those fortunate accidents that drive discovery. Her work reveals something crucial: serendipity isn’t just chance and randomness. It’s “chance plus the prepared mind”.
Here lies the fundamental limitation of AI. “The prepared mind would not be the AI mind because AI doesn’t have a mind. It doesn’t have intentions. We have to have that prepared mind.”
Large language models make connections based on what has already existed. They cannot access the perceptual learning, embodied learning and emotional learning that humans bring to problems. The emotional language may be present in AI outputs, but the emotion is missing.
This has practical implications for how organisations approach innovation. AI can accelerate secondary research, generate options and map adjacent possibilities. But the cognitive jumps, the semantic leaps into different fields, the application of prepared-mind insight to unexpected connections—these remain distinctly human capabilities.
Three Leadership Lessons for the AI Age
Asked what advice he would offer a mid-career executive managing a young team and grappling with AI, Vlad returns to the conversation’s core themes.
First: embrace constraints. “Welcome the resistance. Welcome the frustrations. Dwell in it a little bit. Don’t go for easy closure, immediate closure with AI, without AI, and so on.” The value of hard work, resistance and perseverance cannot be underestimated in a world where instant answers beckon.
Second: foster playfulness. Trust and psychological safety emerge when teams start with play. Techniques like the bad idea brainstorm create environments where exploration can happen without fear. Kids care for each other in play—that’s how play continues. Adults need the same conditions.
Third: maintain ethical boundaries. “You cannot delegate to AI the business of humans—the tasks that make our life meaningful or decisions that are about and with other humans.” AI is a tool, however special. It remains a means to human ends, not an end in itself.
Why Innovation Leaders Must Act Now
Organisations face unprecedented pressure to adopt AI rapidly. But speed without direction creates chaos, and possibility without ethics creates harm.
Possibility Studies offers a framework for navigating this moment: engage with what could be, but do so with constraints that focus creativity, playfulness that enables exploration, and ethics that ensure human flourishing remains central.
The leaders who thrive won’t be those who adopt AI fastest. They’ll be those who understand when to speed up and when to slow down, when to embrace new possibilities and when to question whether those possibilities serve genuine human needs.
Listen to the Full Conversation
Dr Vlad Glaveanu and Mark Blackwell explore creativity, constraints, AI ethics and the emerging field of Possibility Studies in depth.
Watch on YouTube: https://youtu.be/pfXAXNsmVg4
or subscribe to “Arkaro Insights” with your favourite podcast provider.
About the Speakers
Dr Vlad Glaveanu is Professor of Psychology at Dublin City University and Adjunct Professor at the University of Bergen’s Centre for Science and Learning and Technology. He founded the Possibility Studies Network and edits the Journal of Possibility Studies and Society and the Palgrave Encyclopedia of the Possible. His books include Wonder: The Extraordinary Power of an Ordinary Experience and Creativity: A Very Short Introduction.
LinkedIn: https://www.linkedin.com/in/vlad-glaveanu-82235439/
Dublin City University: https://www.dcu.ie/psychology/people/vlad-glaveanu
University of Bergen: https://www4.uib.no/en/find-employees/Vlad-Petre.Glaveanu
Mark Blackwell is founder of Arkaro, specialising in change management, innovation and commercial excellence for the agriculture, food and chemicals industries. Arkaro’s collaborative “do it with you” approach works through four steps: Understand, Co-create, Enable, Sustain. We don’t just coach—we get on the pitch with you.
Is Your Innovation Culture Ready for the AI Age?
The organisations that will thrive aren’t racing to deploy AI fastest—they’re building cultures where creativity flourishes, where constraints focus rather than frustrate, and where ethics guide possibility.
If your teams struggle to innovate despite abundant resources, if psychological safety remains elusive, or if AI adoption creates more confusion than clarity, the missing element may be cultural rather than technical.
At Arkaro, we don’t deliver recommendations and leave. Our collaborative “do it with you” approach builds innovation capability within your teams whilst addressing the cultural dimensions that determine whether initiatives succeed or join the pile of abandoned slide decks.
Ready to explore how Possibility Studies thinking could transform your innovation culture?
Contact Mark Blackwell: mark@arkaro.com Connect on LinkedIn: https://www.linkedin.com/in/markrblackwell/
We work with organisations in agriculture, food and chemicals to turn innovation initiatives from isolated projects into sustainable capabilities. We don’t just coach—we get on the pitch with you.
Related Reading from Arkaro
On Innovation & Creativity:
Why Smart Companies Miss Disruption: The 3 Ghosts Blocking Innovation – Scott Anthony identifies organisational ghosts—past traumas, present patterns, future fears—that prevent even rational leaders from responding to disruption
Jobs to Be Done: The Missing Link in B2B Innovation – Scott Burleson’s pyramid framework reveals why B2B purchasing decisions involve emotional and identity considerations as much as functional needs
AI and Jobs to Be Done: Where Human Judgement Trumps Technology – Where AI enhances innovation research and where human expertise remains essential
Innovation Strategy & Process – How Arkaro helps organisations establish effective ideation processes and innovation capability
On AI & Human Collaboration:
Why AI Implementations Fail – and How PEOPLE Can Fix It – The SPACES framework explains why human factors predict AI success or failure
AI & Strategy: Why Implementation Remains Human – Why collaborative change management becomes more critical as AI capabilities advance
On Change Management & Culture:
The Neuroscience of Collaboration: Why Your Brain Still Thinks It’s on the Savannah – How to create conditions where psychological safety enables creativity and high performance
Strategy is an Adaptive Challenge not a Technical Problem – Why expert-driven approaches fail and collaborative solutions succeed
From Technical Fixes to Adaptive Solutions – How to foster innovation culture where psychological safety enables honest feedback
External Resources & Further Reading
Possibility Studies Network: https://www.possibilitystudies.net/
Possibility Studies Network (YouTube): https://www.youtube.com/@thepossibilitystudiesnetwo1008
Journal of Possibility Studies and Society: https://journals.sagepub.com/home/pst
Palgrave Encyclopedia of the Possible: https://link.springer.com/referencework/10.1007/978-3-319-98390-5
Ron Beghetto’s Possibility Bots (YouTube): https://www.youtube.com/@ronb.1642
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