Richard Easterlin published a paper in 1974 containing a finding so counterintuitive that economists have been arguing about it for fifty years: countries that grow richer over time do not, on average, become happier. Within any given country, people with higher incomes report higher life satisfaction than people with lower incomes. But when an entire society grew richer together, the average reported happiness did not rise proportionally. The Easterlin paradox has been debated, refined, challenged, and partially complicated by subsequent research. The broad conclusion — that GDP growth is a poor proxy for wellbeing improvement beyond a moderate income threshold — has survived fifty years of empirical scrutiny. The metric that dominates economic policy captures one input to human flourishing and misses most of the others. The AI transition threatens to drive the largest wedge yet between production and flourishing.
Coyle's engagement with wellbeing measurement has been characteristically pragmatic. She has not argued that wellbeing should replace GDP. She has argued that wellbeing metrics should stand beside GDP as complementary indicators. The distinction is institutional rather than philosophical. Coyle is not a GDP abolitionist — she is a measurement pluralist.
AI tools produce what Segal describes as a compound experience: exhilaration and distress simultaneously. The builder in flow, constructing something extraordinary with Claude Code, experiences genuine creative satisfaction. The same builder, unable to stop, skipping meals, neglecting relationships, losing sleep, experiences genuine depletion. The two experiences are not sequential. They are concurrent. The same hour that produces the deepest creative engagement also produces the deepest cognitive drain.
The productivity metric registers the output. It does not and cannot register the psychological composition. It cannot distinguish an hour of sustainable flow — Csikszentmihalyi's state of matched challenge and skill — from an hour of compulsive intensity driven by the inability to disengage. The observable behavior is identical. The experiential quality is opposite. And the experiential quality is what determines whether the working pattern is sustainable, which is what determines whether the productivity gain is real or borrowed.
Coyle's framework draws on Amartya Sen's capability approach. Economic development should be evaluated not by what people produce or consume but by what they are able to do and be. A person who produces enormous output but has no time for relationships, no capacity for leisure, no autonomy over pace, and no ability to disengage without psychological distress is not flourishing, regardless of what the output metric says.
Several governments have begun building wellbeing measurement systems — the UK's Measuring National Well-being programme, New Zealand's Living Standards Framework, Bhutan's Gross National Happiness Index. None has yet achieved the institutional weight of GDP. The AI transition may be the crisis that forces integration.
Easterlin's 1974 paper launched the literature. Stevenson and Wolfers complicated the finding with log-linear relationships. Coyle's engagement runs through The Economics of Enough (2011) and her advocacy for wellbeing integration into national accounts via the Bennett Institute and the Stiglitz-Sen-Fitoussi Commission.
Easterlin's finding. Within countries, richer individuals are happier; across time, richer countries do not reliably become happier — the relationship between income and flourishing is mediated rather than mechanical.
Compound AI experience. AI-augmented work produces exhilaration and depletion concurrently — a state the productivity metric cannot decompose.
Temporal blindness. Sustainability can only be assessed over time; by the time depletion appears in metrics, damage is compounding.
Capability framing. Flourishing is evaluated by capabilities, not output — a Senian frame that exposes what productivity metrics cannot see.