Net positive, or it does not ship
An AI-led team is only acceptable if humans stay accountable and the outcome is good for the people it touches.
1. A human is always accountable
Every AI worker and pod has a named human owner.2. People decisions stay human
Hiring, firing, pay, promotion, discipline and performance ratings of people are made by people.3. Safety before speed
Pods can be stopped instantly; incidents reduce autonomy automatically.4. Earned autonomy
Levels rise only on measured evidence and fall on incidents.5. Transparency
People know when they are working with or being led by AI. Everything is auditable.6. Fair transition
As work shifts, TR invests in reskilling, redeployment and dignity, not just cost cutting.Open questions this concept still has to answer
- How to measure "net positive" credibly across four ledgers?
- What is the right steward-to-pod ratio before oversight becomes a rubber stamp?
- How should labor law, works councils and regulation shape AI-led teams?
- What does career progression look like when entry-level work is automated?
- Who is liable when an AI lead's instruction to a human causes harm?
These are tracked in the private research notes and addressed one by one in the build log.