Writing
Fifteen posts.
One argument.
The Care Capital series starts with the fear nobody was naming and works through the evidence before arriving at the framework and what it looks like in real product teams.
Follow on LinkedIn →Phase 1
Diagnosis
The series opens by naming what most organisations are not naming: the human cost of AI adoption in product teams. Eight posts that build the case before a single solution is offered.
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02
Diagnosis
The productivity paradox
Why AI is making product teams faster at going in circles.
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Diagnosis
The fear we're not naming
The anxiety running through product organisations that nobody has named clearly enough to act on.
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03
Diagnosis
The gap nobody is designing for
The space between AI capability and team readiness, and why most organisations are falling into it.
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04
Diagnosis
The mercenary trap
How AI adoption is driving incentive misalignment, and why the best people leave first.
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05
Diagnosis
The shape of the challenge
A structural map of what is happening to product teams navigating AI, beyond the surface symptoms.
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06
Diagnosis
The homogenisation problem
When everyone uses the same AI tools in the same way, product thinking converges. What this costs.
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07
Diagnosis
What makes a team work
The research on high-performing product teams, and what it tells us about AI readiness.
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08
Diagnosis, bridge
Five people on your team
A taxonomy of how individuals in product teams are responding to AI adoption, and what each response reveals.
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Phase 2
Care Capital
Having established what is wrong, the series introduces the framework: what care capital is, what it measures, and why it is a product quality issue rather than a culture programme.
09
Care Capital
What care capital is
The framework: five conditions that determine whether AI amplifies a team's strengths or its problems.
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10
Care Capital
Institutional safety
The first condition, and the one most undermined by AI adoption pressure.
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11
Care Capital
Team trust and empathy
Why cross-functional understanding is collapsing, and what it costs product quality.
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12
Care Capital
Incentives and mission
The structural problem that culture programmes cannot fix.
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13
Care Capital
Curiosity and growth
The condition AI most powerfully amplifies, for better or worse.
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14
Care Capital
Collective intelligence
The output condition: what care capital makes possible, and how AI can accelerate it or substitute for it.
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Phase 3
Practice
The final post applies the framework to a real product team: what building care capital deliberately involves.
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Practice
What this looks like in practice
Care capital in a real product team: the sequence, the resistance, and what changes when it works.
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Follow the argument
Each post builds on the last.
Follow on LinkedIn to get each post as it publishes. The series is designed to be read in sequence: the framework only lands once the problem is understood.
The diagnostic
Don't just read about care capital. Measure it.
Eight minutes. Twenty-five questions. A radar chart across all five conditions, benchmarked against other product teams.
Measure your team →