Why homogeneous teams can't solve systems problems
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Unsplash· 7 min read
This is article 1 of 6 in The Rock Tumbler series
You have done everything right. The science is sound. The methodology is rigorous. The economic case is viable. You have presented clear climate data to a business team, walked them through the implications, and answered every question with precision.
And then you watched it get watered down. Delayed. Quietly shelved in favour of an incremental improvement that addressed none of the underlying problem.
I have sat in those rooms. For three decades. Not on your side of the table, but on the business side. And what I can tell you from that vantage point is that the problem is rarely bad faith. It is rarely outright climate denial. It is something more structural and, in some ways, more frustrating. The teams evaluating your solutions are genuinely unable to see what you are showing them.
Not unwilling. Unable. In my experience, the mental tools simply are not there. Here is why.
The cycle is remarkably consistent. A sustainability professional or external expert presents a solution. It is systems-level, interconnected, and requires long-horizon thinking. The business team engages politely. There are good questions. There is genuine interest, even enthusiasm, in places. And then the proposal goes through an internal review, and what comes back is a version so reduced, so incremental, so stripped of its systemic ambition that it barely resembles the one that was submitted.
This is not a communication problem. Nor is it a matter of finding better language or a more compelling slide deck. The proposal is being evaluated by people who have been trained, selected, and rewarded for a fundamentally different kind of thinking. And that thinking is not equipped for the task at hand.
Over the past fifty years, business leadership has become remarkably uniform. A relatively small number of top business schools have produced the majority of senior executives at major corporations globally. Those executives studied the same case studies, absorbed the same frameworks, and were evaluated against the same criteria. Porter's Five Forces. SWOT analysis. Discounted cash flow. Quarterly earnings management.
These tools are genuinely powerful for what they were designed to do. Optimise known processes, allocate capital efficiently within understood systems, and generate predictable returns over short time horizons. They built the twentieth-century economy. They are not the right tools for the defining problems of the twenty-first century.
In my view, climate change is not an optimisation problem. At its core, it is the direct result of a global economic system built on extraction. Most people find that uncomfortable to accept, so they prefer to frame it as a technical challenge instead. Long timelines, unpredictable dynamics, and deep connections across domains that business has always kept separate. Both framings are accurate. Neither changes the fundamental problem. Namely, that the analytical tools that built the twentieth-century economy were not designed for this.
The uniformity problem is compounded by how businesses hire. 'Culture fit' has become one of the most frequently cited criteria in executive hiring. In theory, it sounds reasonable. You want people who will work well together, share the organisation's values, and integrate smoothly into existing teams.
In practice, culture fit is very often code for 'thinks like us.' It selects for familiarity over capability, for smooth integration over fresh thinking, for comfort over challenge. I have watched hiring committees enthusiastically endorse candidates who would add nothing new to the room, while expressing vague unease about candidates who thought differently, asked unexpected questions, or came from unfamiliar backgrounds.
The comfortable rationale is that look-alike teams are easier to manage. They move faster because they never disagree on fundamentals. They execute cleanly because everyone shares the same mental models. This is true, and it is precisely the problem. Speed and smooth execution are valuable when you know what you are building. They are incredibly dangerous when the problem requires you to question what you thought you knew.
Every major sustainability challenge shares the same structural features: systems-level causes, multi-decade timelines, unpredictable dynamics, and deep connections across domains that business has always treated as separate. Climate change, biodiversity loss, resource depletion, supply chain fragility. They all share this DNA. None of them yield to the analytical tools of twentieth-century management.
Solving them requires holding multiple systems in mind at once, seeing effects two and three steps downstream, thinking in decades rather than quarters, and tolerating real uncertainty without forcing a premature answer. These are not skills that grow from traditional business education. They tend to emerge in people who have worked across multiple disciplines, faced genuinely unfamiliar problems, and had their assumptions challenged by people who see the world differently.
Look-alike teams, by definition, share identical blind spots. In sustainability, those blind spots are not minor inconveniences. They determine whether an organisation can see the problem clearly enough to respond to it at all.
Many organisations have recognised, at least nominally, that something is wrong with their capacity for genuine innovation. Sadly, the responses have been largely cosmetic. Innovation labs have been established, yet typically staffed by people with the same educational backgrounds and professional histories as everyone else in the building. 'Diverse perspectives' initiatives have been launched, addressing gender and racial representation while leaving thinking patterns entirely intact. ESG committees have been formed and then populated by people whose training gives them no particular capacity for systems thinking.
The result is innovation theatre. The appearance of structural change without the substance. Organisations can point to their innovation labs, diversity initiatives, and sustainability committees. None of it disrupts the fundamental monoculture. The quarterly targets still drive decisions. The familiar frameworks still dominate analysis. The incremental response still wins.
Here is what I have found most striking, looking back across the companies and leadership teams I have worked with. The failure modes are almost always the same. Different industries, different geographies, different competitive contexts, and always the same patterns of not-seeing. The same tendency to reframe systems problems as optimisation problems. The same instinct to shorten time horizons under pressure. The same discomfort with unpredictable outcomes. The same preference for the familiar framework over the unfamiliar question.
This is what happens when everyone in the room has been shaped by the same forces. Not just similar conclusions, but similar incapacities. The things a look-alike team cannot see are as consistent and predictable as the things it can. And for sustainability challenges, the things it cannot see are often exactly the ones that matter most.
When I look at what most business teams are actually rewarded for, the picture becomes clear. Not what they say they value, but what their incentive structures reinforce.
Look-alike teams are fast because they never fundamentally disagree. They are comfortable because no productive friction means no difficult conversations. They are predictable because everyone knows the playbook.
These are real organisational virtues. They also actively select against the kind of thinking that systems problems require. So, are we optimising for the thinking that got us here, or for the thinking that might get us somewhere different? In my experience, most organisations are still doing the former, and wondering, with genuine frustration, why they keep getting the same results.
The good news is that this is not an unsolvable problem. Organisations that have built genuine capacity for systems thinking have done so deliberately, by constructing teams that bring genuinely different ways of thinking into productive friction with each other. The research is there. The historical examples are compelling. From the Renaissance polymaths who refused the separation of disciplines, to the ecological artists who solved problems that technical experts had declared impossible.
Steve Jobs called it the Rock Tumbler. You put different kinds of minds together, and you let them collide. Not just different demographics, but different disciplines, different questions, and different ways of seeing. The friction is not a problem to be managed. It is the mechanism of transformation. What comes out is something none of them could have produced alone.
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