Way back in 2017 (crikey) I wrote a report for the IPA on the Future of Agencies. One of the key frameworks that I used described how agencies could succeed in the future by focusing on combining systems (which I defined as data, technology, efficiency, delivery at scale) and empathy (human insight, creativity, relational connection). Given where we’re at with AI right now this feels like it was more prescient than I could have known at the time.
The inspiration for the analogy came from journalist and author Charles Leadbetter who, in 2016, had written a report on how cities can operate effectively (The London Recipe, Centre for London, PDF). Leadbetter describes how successful cities thrive when they combine efficient infrastructure (‘systems’) with social connection and civic imagination (‘empathy’). In his view, great cities don’t just function well, they feel alive. Their competitive advantage comes from the interplay between order and emotion, between structure and spontaneity.
In this sense systems are the networks and infrastructure that make large-scale living possible: transport, housing, energy, waste, digital platforms, planning, and governance. They bring reliability, transparency, and scale. Without strong systems, cities can become chaotic and fragile.
Empathy, on the other hand, is like the ‘dark matter’ of urban life. It’s what makes cities sociable, civil, and creative. It’s invisible but essential. It’s the ability of people to connect, cooperate, and coexist amid differences and diversity. Empathy shows up in both small acts of civility and collective generosity. It is what transforms efficient systems into humane experiences and what makes shared life work, not just run. Systems without empathy risk sterility, becoming impersonal, or overly technical, and even alienating.
Leadbeater uses London 2012 as the archetype of systems and empathy working in harmony. When London hosted the Olympic and Paralympic Games it succeeded because of excellent planning, logistics, and design. The transport worked efficiently to get huge numbers of people efficiently around the city and the venues worked pretty flawlessly. But what made it magical was the human connection that those two months embodied. The warmth, the shared experience, the 70,000 Games Maker volunteers, the sense of collective joy.
He sets out a couple of extremes that cities risk falling into. A high system, low empathy trap where the city becomes efficient but soulless, an over-planned ‘machine for living’. And a high empathy, low system city which is vibrant but chaotic, and where creativity thrives locally but struggles to scale or to sustain itself. The genius of London, and what he calls its ‘cosmopolitan self-governance at scale’, lies in finding a dynamic equilibrium between the machine and the organism. It’s a city both highly ordered and deeply human, where systems enable social life rather than replace it.
I’ve always loved this analogy and I think it has a heightened and wider resonance now in the era of AI. Leadbetter argues that we need to learn to design systems with empathy built in, or what he calls ‘socially intelligent systems’ that blur the edges between the mechanical and the personal, and between planned efficiency and lived experience.
So systems and empathy are not just how we should see successful cities but how we should shape how we live, work, and make sense of complexity in the era of AI. Systems are the organising logic of our time, increasingly invisible infrastructures that bring reliability and predictability and help billions of people to live their lives. But left unchecked they can flatten difference, standardise experience, and create distance between action and consequence. It is empathy that helps us to navigate complexity, understand context, apply moral and emotional intelligence, and reconnect us to consequence. It is empathy that humanises design, governance and decision-making. It is empathy that ensures that the pursuit of scale does not erase our sensitivity to place, culture, and individual need.
As far back as 1959, C.P. Snow’s ‘Two Cultures’ (PDF) described the divide between the scientific and literary cultures, between the world of systems, data, and engineering versus that of imagination, ethics, and emotion. Progress, he said, depends on bridging these two worlds. We hear so much these days about humans and machines working effectively together, and the need for so-called ‘human-in-the-loop’. For me, systems and empathy is what this ultimately means. With AI, our systems are no longer just mechanical, they are cognitive. We may be able to expand our capacity to process information through algorithms and automation, but we risk losing the connection between human intent, nuance, ethics and emotion and output. Equally, good intentions without systemic literacy means that we cannot turn understanding into impact.
The success of London 2012 was founded on a system that worked seamlessly, but also which radiated warmth, shared meaning and collective spirit. For cities, industries, organisations, and teams the job now is to learn how systems can enable empathy, and how empathy can inform systems.
Given how rapidly this is all advancing, I don’t think its too out there to say that the modern world depends on our ability to hold both together.
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Image: Philip Pryke, CC BY 2.0, via Wikimedia Commons
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