Ai told me to become an “Acceptable Radical”: A Sustainability Professional's Path Through the Polycrisis?
The Dilemma of Pragmatism in a Burning World
For over two decades now, I’ve navigated the shifting terrain of corporate sustainability—trying to persuade boards to decarbonize, designing circular supply chains, and advocating for just transitions. But in 2024, the stakes feel different. The “polycrisis” isn’t a buzzword; it’s the backdrop to every conversation I have. Climate collapse, inequality, and ecosystem breakdown don’t just compound—they ignite one another. And yet, when I sit across from business leaders, I still hear the same question: “How do we transform without destabilising the business?”
Frustrated by incremental roadmaps that feel out of sync with the urgency of the moment, I did something unconventional: I turned to an Ai collaborator, to pressure-test my assumptions. Could human experience and machine intelligence, together, chart a viable path through this complexity?
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The Dialogue: When AI Pushed Me to Reimagine Radicalism
My initial prompt was blunt: “Can we avoid the polycrisis without dismantling capitalism?” Ai’s response was unnerving. It outlined scenarios where only systemic overhauls—degrowth, post-consumerism, energy rationing—could suffice. “But how do we make these actionable,” I protested. “CEOs aren’t revolutionaries.”
What followed was two weeks of iterative debate. Each time I challenged both incrementalism and utopian solutions as politically toxic, economically naïve, or failing to act in time. Ai countered: “Then what is your threshold for ‘acceptable’ disruption?” It was a Socratic mirror, reflecting my own constraints back at me.
The breakthrough came when we analysed historical pivots—the Montreal Protocol, Europe’s post-war rebuild, even Orsted's shift to renewable energy. These weren’t just incremental; they were radical ideas made palatable through strategic packaging. As my Ai buddy noted: “The art lies in aligning existential action with perceived self-interest.”
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The “Acceptable Radical” Framework
Our dialogue crystallized into a concept: the acceptable radical. This leader who can operate at the edge of the possible, expanding boundaries without breaking them. They are neither a placating incrementalist nor a divisive revolutionary, but a translator of transformation.
Ai discussed four pillars to operationalise the philosophy:
1. Build Coalitions at the Overlooked Middle
Target the “movable middle”— erstwhile hindered CSOs, pragmatic C-Suite leaders, supply chain chiefs, institutional investors—who wield influence but need to avoid activism.
2. Design Incremental Boldness
Layer high-impact actions into business-as-usual, and anchor my advice in an undisputable evidence-base. The Ai asked me for client examples, and built on these insights as to how to do this.
3. Reframe Success Metrics
Decouple radical outcomes from radical optics. An unsustainable business model channelling 30% of its capex into sustainable alternatives that would outcompete over the long-term. Ai further suggested re-branding of terms like “energy diversification” rather than “transition.” (I must admit this irked me, but the Ai seemed resistant to any other outcome, given "it seems unlikely geo-political leaders who ideologically oppose sustainability nomenclature would listen to any amount of contrarian evidence".
4. Narrate Adaptive Urgency
Stories matter. When a European bank linked its lending policies to climate resilience, it framed the shift as “future-proofing portfolios,” not defunding unsustainable business models. Result? A 19% drop in their exposure without public backlash.
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The AI Insight: Radicalism Requires Restraint
What surprised me most was Ai's insistence that radicalism demands more discipline—not less. It pushed me to audit every proposal: Does this intervention reduce polycrisis drivers while increasing organizational benefit? Can it be modularized to avoid existential resistance?
The Ai wasn’t advocating compromise; it was engineering a bridge between survival and transformation. As it noted: “Your role isn’t to choose between capitalism and collapse. It’s to redesign the operating system both depend on.”
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Conclusion: The Tightrope Walk of Our Era
The polycrisis won’t be solved by grey-haired sustainability professionals like me alone. But we’re uniquely positioned to turn fractures into pivot points. The “acceptable radical” isn’t a sellout—they’re a strategist who understands that in a polarised world, the biggest leaps happen when people barely notice they’re moving. But the radical remains more necessary than ever - fighting back against perceived wisdom that flies in the face of all we know about breaching planetary and societal limits.
To my peers: Partner with unlikely allies (yes, even Ai!). Experiment with oblique strategies. And remember—the ideas that feel uncomfortably bold today are often the compromises we’ll regret tomorrow.
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This article was based on iterative learning conversations held with a generative Ai assistant over a two week period that built from human experience of challenges on corporate sustainability. A full transcript of the human-Ai dialogue started as passive advice to align to global targets and peer organisations. As the Ai learned more from the author's experience and views, and accepted challenges from academic viewpoints, it morphed advice to that articulated above.
Change agent and systems thinker | Climate activist and feminist | Business woman and creator of value
3moI’m wondering about your starting question. Business is already and will increasingly be destabilised, so for me the support I’m offering is not a choice between capitalism and collapse, but a way forward for capitalism through the instability to a more stable future. Can you ask your AI friend? I’d be keen to know their thoughts
Helping small business find their sustainability superpowers
3moWow, maybe there's some truth to all this hype around AI solving everything! When used well, that is - being able to "engineer the bridge" that we can't yet see, and help us be "a translator of transformation." Thanks so much for sharing how the conversation progressed, too - I similarly find GPT's initial answers are overly simplistic or miss critical bits, but with some coaching it can crystallise some gems. I love your drive to find the answers!
Sustainability Marketing
3moStéphane Distinguin, Cyril Vart, Axelle Ricour-Dumas, Valentin Worms, Emmanuel LONGÈRE, Manon D'Ercole, I bet you will like Matt's convo with AI to redesign a sustainable future.
Chief Country Officer at Sustainable Markets Initiative
3moReally thought provoking Matt- thanks for raising this to me. Confirms that 'future-proofing' can and should be part of the acceptable radicalism approach. I'm all in for that 💪
Author of Clear Concise Compelling (2ed), writer, editor, educator, consultant
3moInteresting Matthew Bell! I think it should be no surprise that AI can’t produce a breakthrough pathway to ‘a new economy’ because it’s only working from information produced by the current flawed system. It seems the only way to avoid the delay of incrementalism is through creativity that can produce simple, practical breakthroughs. And AI can only riff, it cannot create. My philosopher (human buddy) answer to your initial prompt would have been something like: Let’s start with the outcome you’re seeking. What’s the simplest conceivable version of an optimal state on this planet with its current population? What have people stopped and started doing? And in the necessary pursuit you speed, you end up with this question: If ‘enough of us’ organised ourselves to do just one thing to transform the economy quickly enough to avert ‘ecological collapse’, what would that one thing be? And, I can assure you, that is the most fruitful and vital of questions. Coincidently, I am currently preparing to share my answer to this question with you and your NEU team, but it would be so much more fun to workshop it. And, coincidentally, I will be in London for a few days next week… How about we connect and make this happen?