At a glance: Creativity is not something separate from expertise. It is a by-product of deep engagement with your domain, and AI threatens it by removing the friction that builds mastery.
The popular view says creativity needs freedom: remove the deadlines and the pressure and it will emerge. The cognitive science says otherwise. Creativity is the by-product of deep, disciplined engagement with your field, drawing on patterns your brain has stored over decades of practice. The danger in 2026 is not too little free time. It is frictionless AI that bypasses the substantive work where creative capacity is built. Self-directed professionals can protect that work, and the creativity takes care of itself.
Creativity does not come from freedom. It comes from the friction of sustained engagement with difficult problems in your domain. Remove that friction and you remove the source.
The popular view of creativity is that it happens when you have enough freedom from constraints. Remove the deadlines, the distractions, the productivity pressure, and your creative capacity will naturally emerge. Matthew Crawford challenges this directly. He argues that creativity is not some special force inside you waiting to be unleashed. It is a by-product of mastery, cultivated through long practice. For experienced professionals, this reframe changes everything. Your creativity does not need rescuing from the productivity trap. It needs protecting from the forces that would reduce your engagement with the substance of your work, and in 2026 the most powerful of those forces is AI itself.
Creativity as a cognitive by-product
When I first wrote about this in 2023, I framed it around escaping the productivity trap: constant output demands stifle the incubation time creativity requires. That argument remains valid. But the cognitive science I have been integrating since tells a deeper story about where professional creativity actually comes from.
Neuroscientist Scott Barry Kaufman identifies three brain networks essential to creativity across every field. The executive attention network holds complex information in working memory and inhibits obvious responses, allowing you to reach beyond first-order thinking. The imagination network (often called the default mode network) activates when you turn attention inward, daydream, or take another perspective. And the salience network, which Kaufman calls underrated, tags things as interesting in your environment before you consciously process them, feeding material to both imagination and attention.
Where professional creativity comes from: deep engagement feeds the salience network, which supplies the imagination and executive attention networks. Based on Scott Barry Kaufman's model of the creative brain.
For experienced professionals, the salience network is the crucial one. It operates below conscious awareness, tagging patterns as noteworthy based on decades of accumulated experience. This is your autonomous mind at work: the same cognitive system that generates your professional expertise also generates your creative insights. The two are not separate capacities. They are the same distributed cognitive system operating in different modes.
This is why Crawford is right that creativity is a by-product of mastery. The more deeply you have engaged with your domain, the richer your salience network's repertoire of patterns. The more patterns available, the more unexpected connections your imagination network can construct during periods of rest and incubation. Professional creativity does not come from having more free time. It comes from having more deeply assimilated domain knowledge available for recombination.
Peter Compo arrived at the same conclusion from a different direction. A chemical engineer who spent 25 years at DuPont before writing The Emergent Approach to Strategy, he came on the Wisepreneurs Podcast to talk about how innovation actually happens. In his book he puts it plainly: innovative people and organisations “are free because of their confidence … in their low-level discipline, not despite it,” and “deep creativity and intuition are an emergent result of low-level discipline.” When we spoke, he pushed the point further. We tend to call the arts creative and treat everyone else as something else, but in his words “you can be creative in accounting too. You can find new solutions.” What I take from this is that creativity is what surfaces once deep discipline in any domain has been internalised, whether that domain is a string quartet or a set of management accounts.
The friction that builds mastery
Crawford makes a second argument that connects directly to how wisepreneurs should think about AI. He observes that frictionless technology promotes a kind of self-absorption. When tools work so intuitively that you never need to understand how they function, you lose the attentiveness that comes from grappling with the details. You stop being in conversation with your tools and your environment. You become, in his terms, a consumer of experiences rather than a participant in them.
This is the augmentation trap [ link to https://wisepreneurs.com.au/how-experienced-professionals-avoid-ai-commoditisation-trap/ ] applied to creative capacity. AI is the ultimate frictionless tool. It generates ideas, drafts, analyses, and solutions without requiring you to engage with the difficulty of producing them yourself. Each time you accept AI output without maintaining your own engagement with the problem, you reduce the friction that builds the mastery from which creativity emerges.
The paradox is precise. AI tools promise to free your time for creative thinking. But if they bypass the substantive engagement that generates creative capacity in the first place, the freed time has nothing to fill it. You have more hours available but less cognitive material to work with. Your salience network has fewer new patterns to tag. Your imagination network has less raw material for recombination. The creativity you were trying to protect has been quietly hollowed out from underneath.
Lisa-Marie Cabrelli has lived this across several careers. She trained and worked as an actress, built and sold a software business, and recently finished a PhD in creative writing. When she came back on the podcast, I asked what the arts had given her, and her answer was discipline. “Musicians, dancers, actors, everyone needs really strong practice habits,” she said. The performance is the part an audience sees. The years of repetition underneath it are where the capacity gets built. She also reframed something I think many experienced professionals quietly worry about, that moving between fields wastes their creative talent. Her old acting mentor had set her straight years earlier: “everything we do is creation.” Designing software was creation. The discipline carries across because the friction is the same.
Why productivity culture and AI create the same problem
Rahaf Harfoush identifies the original version of this trap in productivity culture. Knowledge workers are measured using industrial metrics (hours worked, output volume) that force creative work into assembly-line frameworks. The result is cognitive miserliness: defaulting to shallow processing because deep thinking does not look productive. When the system demands constant measurable output, you never enter the incubation states where genuine creative connections form.
AI creates the same problem through a different mechanism. Instead of demanding constant output, it makes output trivially easy. You produce more, faster, with less cognitive engagement. The metric looks better. But the productive mindware that generates genuine creativity atrophies because it is no longer being exercised through sustained difficult engagement.
Both forces push in the same direction: away from the friction, difficulty, and sustained attention that build the mastery Crawford describes. Both make the surface of work smoother while degrading the cognitive depth beneath it.
Self-direction as creative protection
This is where the wisepreneur's structural advantage applies. When you control your own task allocation, you control the friction level of your work. You can choose to maintain your engagement with the substance rather than optimising for speed. You can protect the incubation time that productivity culture refuses to allocate. You can use AI as raw material for your own constructive thinking rather than as a substitute for it.
Peter Drucker identified six factors that determine knowledge worker productivity, and three of them are fundamentally about self-direction: the ability to define your task, the autonomy to manage your own time, and the emphasis on quality over quantity. These are not just productivity conditions. They are creativity conditions. They protect the cognitive architecture from which professional creativity emerges.
Emma Williams found this out the hard way. A Cambridge physicist who left academia to coach researchers and academics, she described to me the period that changed her direction. She had broken her leg while pregnant and was signed off work for six weeks. That enforced stillness gave her something a busy career never had: time to think. As she put it, reflecting on where you are in your career is “easy to push to the side … it's not an urgent task,” so for most of us it rarely happens. Few people will break a leg to find that time. The discipline is to allocate it deliberately, before circumstances allocate it for you.
The practical discipline is straightforward. Maintain your own thinking on a problem before consulting AI. Use AI outputs as material to evaluate and recombine rather than as finished products. Protect time for the apparently unproductive activities (reading widely, incubating problems, making connections across domains) that feed your salience and imagination networks. Resist the temptation to fill every hour with measurable output.
Your creativity is not a separate resource that needs rescuing. It is the natural by-product of the same deep engagement that built your expertise in the first place. Protect that engagement and the creativity takes care of itself.
Your salience network tags patterns as interesting based on decades of accumulated experience. The same cognitive system that generates your expertise generates your creative insights. Protect one and you protect both.
This argument sits inside the wider Relational Vitality writing on cognitive vitality and what protects it.
Frequently asked questions
How do I balance using AI for efficiency with maintaining creative engagement?
The test is whether you are maintaining your own substantive thinking on a problem before and after consulting AI. Use AI to accelerate research, generate options, or handle procedural components. But keep the interpretive and evaluative work, the part where you apply your domain expertise to judge what matters, as your own cognitive engagement. That engagement is what feeds your creative capacity.
Does this mean I should avoid productivity systems entirely?
No. It means choosing systems that protect deep engagement rather than optimising for constant output. A system that blocks distraction and protects focus time serves creativity. A system that measures hours worked or tasks completed pushes you toward the shallow processing that degrades it. The question is always: does this system support or undermine the friction that builds mastery?
What about the rest and incubation time that creativity requires?
Crawford's argument and Kaufman's neuroscience are complementary, not contradictory. Mastery builds the raw material. Rest and incubation allow the imagination network to recombine it. Both are necessary. The key insight is that incubation without prior deep engagement produces nothing useful. You cannot incubate ideas you have not first generated through substantive work.
References
Peter Compo on the emergent approach to strategy.
Wisepreneurs Podcast, on how deep creativity and intuition are an emergent result of low-level discipline.
Lisa-Marie Cabrelli on the arts, discipline, and creation across careers.
Wisepreneurs Podcast, on the practice habits that carry across acting, software and writing.
Emma Williams on reflection and reinvention.
Wisepreneurs Podcast, on allocating the time to think before circumstances do it for you.
Matthew Crawford, The World Beyond Your Head: On Becoming an Individual in an Age of Distraction (2015) — the argument that skilled engagement with resistant material develops cognitive capacities that frictionless environments cannot produce
Scott Barry Kaufman, Wired to Create: Unravelling the Mysteries of the Creative Mind (2015) — the neuroscience of creativity including the imagination network, salience network, and executive attention network
Rahaf Harfoush, Hustle and Float: Reclaim Your Creativity and Thrive in a World Obsessed with Work (2019) — the research connecting overwork, exhaustion, and the erosion of creative capacity
Peter Compo, The Emergent Approach to Strategy (2023) — the argument that deep creativity and intuition are an emergent result of internalised low-level discipline rather than imposed freedom
Peter Drucker, The Effective Executive (1967) — the foundational argument that knowledge workers must manage their own effectiveness rather than relying on organisational productivity systems
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