2026-27 Research Areas at AI-Mediated Foundation
At the AI-Mediated Foundation our research goes further.
We investigate the organisational, human, economic and societal implications of a world in which human and artificial intelligence increasingly work together.
Our purpose is to develop independent, evidence-led insights, practical frameworks and new ways of understanding how organisations and society can benefit from this transformation.
Our 2026–2027 research agenda is organised around three interconnected programmes, bringing together seven research themes.Each programme examines a different dimension of AI-mediated transformation, while contributing to a shared understanding of how intelligence is changing organisations, work and society.
Artificial intelligence is introducing new forms of intelligence into organisations, changing how decisions are made, work is performed, capabilities are developed and economic value is created. Yet much of the discussion continues to focus on technology adoption, automation and productivity improvements.
AI-Mediated Organisation & Governance
Redesigning organisations for a world of human and artificial intelligence.
How should organisations be designed, governed and led when intelligence, decision-making and productive work are no longer exclusively human?
This programme investigates the transition from traditional organisational structures towards AI-mediated operating models.
Research priorities include:
- AI-mediated organisational architecture and operating models
- Human and AI decision authority, accountability and governance
- The PXB Ecosystem™ and organisational design
- Ethical AI governance and organisational assurance
- AI transformation evidence, adoption and organisational maturity
- Emerging leadership and organisational transformation requirements
Our research examines not only how AI enters organisations, but how its introduction changes the underlying architecture through which work, decisions and value are organised.
Human Intelligence, Work Capability
Understanding the changing relationship between people, work and intelligent systems.
As AI becomes increasingly capable of performing cognitive and operational tasks, the nature of human contribution is changing.
This programme explores what remains distinctively human, how judgement and capability develop, and how organisations can design work that combines human and artificial intelligence responsibly.
Research priorities include:
- Human intelligence, judgement and decision quality
- The Human Advantage Framework™
- Work redesign, emerging roles and workforce transitions
- Capability development, Capability Debt™ and Capability Velocity™
- Learning as organisational infrastructure
- AI Tribes™, social attitudes and the human relationship with AI
- Trust, inclusion, culture and workforce opportunity
A central question is whether AI is expanding human capability and opportunity or creating new dependencies, inequalities and barriers to participation.
AI Economics, Productivity & Value
Moving beyond hours saved to understand the real economic value of AI.
AI promises significant productivity improvements, but productivity gains do not automatically translate into greater organisational capacity, economic prosperity or improved outcomes for workers.
This programme investigates how AI creates, distributes and captures value across organisations and society.
Research priorities include:
- AI productivity measurement and economic evidence
- Capacity dividends and productive capacity
- AI Productivity Leakage and the barriers to realising value
- Workforce economics, wages and value distribution
- AI Economic Governance™
- Labour-market change and entry-level opportunities
- Measuring organisational performance and long-term economic value
Our research distinguishes between efficiency improvements, genuine increases in productive capacity and the economic benefits ultimately realised by organisations, workers and society.
The central question is:
When AI makes work more productive, who benefits, how is that value measured, and what happens to the capacity created?
From Research to Real-World Impact
AIM connects emerging research with the practical challenges facing organisations, leaders, workers and policymakers.
Our approach brings together four complementary activities:
1. Research Programmes
Longer-term investigations into the structural implications of AI-mediated transformation.
2. Evidence & Insights
Research reports, data analysis, literature reviews, emerging signals and evidence-based commentary.
3. Collaboration
Engagement with researchers, universities, practitioners, professional bodies and interdisciplinary networks.
4. Real-World Impact
Translating research into practical frameworks, organisational understanding, better decision-making and improved human and economic outcomes.
Our research is intended to inform debate, challenge assumptions and contribute to more responsible and effective organisational transformation.
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