Why AI needs a Proof-of-Concept to Production pipeline
Organisations that treat AI as a series of disconnected experiments will end up with expensive demos, shadow IT and AI, and mounting risk rather than real business value.
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AI has changed the cyber threat landscape
Artificial intelligence is now a first‑order cyber risk driver, as well as a productivity tool. AI‑accelerated threats, fragile model “harnesses,” and concentrated dependence on a few vendors demand urgent uplift in governance, resilience, and incident response.
The hype cycle and AI: why we need to stay grounded
Generative AI has hit the peak of inflated expectations. The Gartner Hype Cycle reminds us we've been here before - and shows why governance, not hype, and doing the work still matters.
AI adoption is a people problem, not a technology problem
AI isn’t magic. It’s change management (and people). Ignore that at your peril.
AI, power, and why open institutions matter
Software and AI are never neutral; they can quietly lock in existing systems of control and power. To avoid surrendering autonomy to a few proprietary platforms, we need open, community‑governed institutions that keep AI accountable and share its benefits more fairly.
Beyond AI hype: building new institutions for AI and the Digital Revolution
In history I saw how the English working class responded to upheaval of the industrial revolution by building new institutions Today’s AI disruption raises a similar question: what new institutions do we need for the AI age?
Losing faith in the system: distrust, AI, and the turn to alternative beliefs
Etsy witches, AI, & young people quietly returning to the Catholic Church might look unrelated, but they all signal a crisis of trust in institutions.