A current reading list on AI adoption, workforce change, and how living systems coordinate and adapt. The question is always practical: what changes in the work, and what evidence would show it is helping?
What organizational conditions let AI take on execution while people retain agency and judgment?
World Economic Forum · 2025How are industry shifts changing the mix of skills, roles, and workforce scenarios leaders need to plan for?
Tamsin Woolley-Barker · living systemsWhat can distributed intelligence, trust, and adaptation teach us about how organizations work?
Peer reviewed research and published case evidence on collective leadership, organizational change, and AI adoption. Each summary notes what the study can support and where its evidence is limited.
Shertzer and Nitzan use evolutionary theory to frame cooperation, adaptation, and organizational behavior. This is a conceptual lens rather than an empirical test, so biological parallels are useful prompts for inquiry, not proof that organizations function like organisms.
Read the paperGambonnet and colleagues critically review 20 peer reviewed studies on shared leadership and team cognition. The review maps promising links between how leadership is distributed and how teams think together, while noting that the evidence base and measures remain limited.
Read the paperIonică reports survey findings from 420 employees and managers on leadership and organizational transformation. The results offer a useful view of perceived relationships among leadership, digital change, and sustainability, but the cross sectional, nonrandom sample cannot establish cause and effect.
Read the paperTian and colleagues describe an 18 month clinical AI implementation in a provincial health system and propose a six module governance framework. It offers practical implementation detail, while its single system case does not establish clinical outcome effects across other settings.
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