The Measure of a Society

Why output thinking is the wrong lens for an impact world - and what that means for organisations

For most of modern history, societies have measured value in terms of labour. Hours worked. Units produced. Productivity gained. GDP increased. Governments tax labour. Businesses price labour. Economists model labour. Political parties promise to protect it. Entire social contracts have been built around the assumption that human effort is the primary engine of economic value.

That assumption is fracturing.

Artificial intelligence is often framed as the catalyst, but the tension existed long before datacentres entered public consciousness. AI is exposing a contradiction already embedded within industrial society: we continue to measure value through outputs while increasingly living in a world shaped by impact.

That distinction matters more than it might first appear.

When outputs were enough

An industrial economy works well when value can be visibly connected to labour. A factory worker produces widgets in eight hours. A textile mill spins more cloth with better machinery. Productivity rises because output rises. The whole system becomes legible - hours, wages, overtime, taxation, economic growth.

Labour movements emerged precisely because workers recognised that productivity gains did not automatically improve their own lives. Piece-rate systems rewarded output until targets were raised again. Efficiency became a perpetual treadmill. But the relationship between effort, production and value creation remained relatively stable.

That stability is now weakening.

A software engineer can automate thousands of hours of future work in a single afternoon. A strategist can alter the direction of an organisation in one conversation. An AI model can generate in seconds what once required days of human effort. The relationship between visible labour and meaningful value creation has come apart. And the systems still designed around labour participation - wages, taxes, productivity metrics, quarterly earnings - are increasingly measuring the wrong thing.

Contribution is not the same as output

At the turn of the twentieth century, some of the most influential industrial businesses in Britain operated from a very different understanding of value creation.

Cadbury, Rowntree, Lever Brothers, Clarks - Quaker-led organisations in the main - were not charities. They competed fiercely and pursued commercial growth. But they also understood business as part of a wider social system rather than a standalone financial machine. They built housing, parks, libraries, healthcare facilities and community infrastructure. Bournville, New Earswick, Port Sunlight and Street were not mere welfare projects. They were expressions of a belief that healthy businesses require healthy societies.

In today's language, they were investing in Social Capacity.

Modern commentators often dismiss this as paternalism, and at times it undoubtedly was. Some industrialists abused their position. Yet somewhere in the correction, business and societal responsibility became separated altogether. Corporations became increasingly focused on financial extraction as paternalism was gradually taxed away. Governments attempted to absorb the social role through taxation and redistribution. The result was a growing divide between economic value creation and societal value creation.

And most organisations still carry that division inside them today.

Businesses that develop people, retain clients, invest patiently and act responsibly under pressure often outperform transactional competitors over time - even when those advantages are difficult to quantify quarter by quarter. Patagonia and, surprisingly, Nvidia spring to mind. That is because impact compounds differently than outputs do.

An outcome changes a moment. Impact changes a system.

The inadequacy of GDP

Governments speak constantly about productivity growth and GDP, but these are increasingly incomplete measures of societal health. A nation can grow economically while trust collapses, communities fragment and citizens feel progressively disconnected from meaning, ownership and participation. GDP measures activity. It does not necessarily measure value.

Democracy, meanwhile, is often described as power vested in the people through elected representation. In practice, most democratic systems centralise power through structures designed primarily to preserve continuity and maintain governability. Political parties increasingly optimise for electoral survival rather than long-term societal capability. Many local representatives may genuinely serve communities well yet remain constrained by party machinery focused on retaining power.

Meanwhile, governments continue borrowing against tomorrow to fund today. Businesses that operate that way eventually become zombie companies - surviving through debt while future value creation weakens beneath the surface. Nations are not immune to the same dynamic, and the larger the structure, the harder the eventual correction.

Technology and infrastructure are not the same argument

Many current fears surrounding AI fall into the same trap as previous technological anxieties. Productivity improvements have rarely eliminated demand entirely. More efficient fuel led to greater demand for transport. Faster internet speeds created entirely new digital economies. Increased computing power created industries that previously did not exist.

Infrastructure invariably lags behind capability. Roads followed cars. Fibre followed computing demand. Datacentres now follow AI. Charging points now follow EV adoption.

The current AI investment cycle may differ from previous technology bubbles because much of the capital is going into foundational infrastructure rather than merely speculative applications. That does not rule out the possibility of correction - many AI companies may fail - but history suggests that overbuilt infrastructure often becomes the foundation for future economic transformation rather than evidence that the transformation itself was misguided.

The more important question is not whether AI will entirely replace labour. It is about whether societies remain capable of converting an abundance of intelligence into meaningful societal value.

Maximise is the wrong word

Perhaps the problem is that modern societies continue attempting to maximise outputs when healthy systems are built through optimisation.

Maximisation assumes more is always better. More productivity. More growth. More efficiency. More extraction. More profits. But systems optimised purely for maximisation become fragile. They remove slack, weaken resilience and reduce human beings to measurable economic units.

Optimisation is different. It asks: what strengthens long-term capability? What increases meaningful participation? What creates resilience rather than dependency? What allows different forms of human flourishing to coexist? What impact are we creating?

That reframing suggests a different way of thinking about societal value altogether.

Perhaps:

Social Capacity = Comfort + Culture + Clarity

Where:

Comfort is the ability for people to live with dignity according to differing personal ambitions - not a uniform standard, because people do not all value the same things. Culture is the shared understanding that allows diverse populations to function cohesively without demanding sameness.
Clarity is a common understanding of what individuals, institutions and businesses each contribute to the wider system, and why.

And perhaps:

Societal Value = (Social Capacity) × (Governance Attitude)^F

Where Governance Attitude reflects whether institutions encourage long-term capability, contribution and stewardship rather than merely managing the status quo, which often ends in decline, and whether they are prepared to be honest about trade-offs.
And F represents freedom: not freedom as in the absence of rules, but freedom as agency, ownership and the ability to contribute meaningfully.

Freedom in this sense is not ideological purity. It is the degree to which societies allow people to think, build, dissent, create, fail, improve and participate in value creation. Small differences in freedom compound significantly over time. That is why governance attitude is just a multiplier and freedom is the exponent, because the effect is not linear.

This may also explain why some societies transform rapidly under systems that do not fit conventional Western democratic assumptions. China's rise from post-Mao stagnation to global technological leadership did not occur because it became liberal in a Western sense. It occurred because productive freedom expanded significantly relative to what came before. Entrepreneurial agency increased. Infrastructure investment accelerated. Long-term strategic planning became systemic. Governance attitude amplified social capacity. The lesson is hard because it challenges the simplistic assumption that electoral structure alone determines societal health.

The future may depend less on ideological labels and more on whether societies create conditions where meaningfully impactful contributions compound over time.

The same logic applies to organisations

For businesses, Thinking in Fields frames value as:

Value Creation = (Base Performance) × (Leadership Attitude)^O

Where Base Performance reflects the operational capability of the organisation - what it can reliably deliver today.
Leadership Attitude determines whether the system compounds positively or negatively.
And O represents Orchestration of Ownership: the degree to which people feel trusted, connected and genuinely responsible for the wider mission and not just compliant with it.

The parallel is not a coincidence. Organisations are not separate from the societies in which they operate. The same forces that weaken societal value creation - abstraction, measurement obsession, performative governance, disconnection from contribution - weaken organisational value creation in exactly the same way.

Businesses that develop real ownership thinking across their teams - where people understand what they contribute, why it matters and what the organisation stands for - create value that cannot be easily replicated by organisations that simply measure and focus on quarterly outputs. That difference is not soft. It is structural. And in a world where intelligence is increasingly abundant, the gap between organisations that convert intelligence into value and those that merely accumulate activity will become the defining competitive difference.

The challenge of the coming decades may not simply be how to increase productivity or distribute wealth more efficiently.

It may be this:

How do we optimise meaningful participation in value creation?

Societies, like businesses, rarely fail from a lack of intelligence. More often, they fail because they stop converting intelligence into long-term impact.

If your organisation is scaling capability without a clear framework for converting intelligence into value, the Value Creation Formula is a useful place to start.