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AI Learning & Adoption Goes Further and Faster in Co-Op Mode
How can shared practice, not individual use, help accelerate learning and sustainable adoption of AI?
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Cerys Hearsey
Enterprise AI is a Social Technology, Not the Sorcerer’s Apprentice
Some links and thoughts on agentic AI's positive potential to transform work and jobs, and the need to avoid both magical thinking and AI panic
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Lee Bryant
Collaborative Architectures for Agents, People & Machines
Some thoughts and further reading on how to think about creating collaborative architectures for agentic AI in the enterprise
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Lee Bryant
Enterprise Context Engineering as a New Leadership Capability
How can leaders ensure that people, AI agents, and distributed systems all work with a common context and information landscape, without slowing things…
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Cerys Hearsey
The Growing Importance of Context Engineering for Leaders Adopting AI
How business leaders can play an important role in enterprise AI adoption without needing to become technical domain experts
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Lee Bryant
Enterprise AI Adoption Requires Connected Leadership Steering
How leaders working together with a simple Map → Change → Learn loop can turn scattered AI experiments into living, organisation-wide capabilities.
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Cerys Hearsey
Can Learning Help Overcome the AI Capability-Absorption Gap?
Organisational readiness will take time, but that should not stop us from preparing our people to thrive in an enterprise AI workplace
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Lee Bryant
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Rehearsing Leadership at Scale
In fast-moving systems, leadership requires feedback loops that stretch from the self to the sector, and back again.
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Cerys Hearsey
Beyond Simple Office Automation: The Rise of Super Operators
Contrasting the speed of office-based vs physical AI use cases; the future beyond simple chatbot assistants; and the predicted rise of high-agency super…
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Lee Bryant
Destruction, disruption, change and transition strategies
Why transformative change sometimes needs transition, not destruction, and why we should engage with AI risk fears if we are to find the best way…
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Lee Bryant
Wrapping up 2024
We have come so far with AI and yet achieved so little in terms of the organisational change it makes possible. Here's how we made sense of the year AI…
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Lee Bryant
Strawberry (Da)Queries, Machines and Possibilitarianism
Analysis of OpenAI's first o1 series release and why this does not risk de-humanising the enterprise - quite the opposite, in fact...
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Lee Bryant
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