The coming AI jobs-pocalypse
The story we tell ourselves about technology and jobs has almost always been wrong, at least in the short term.
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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.
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.
ANZAC Day and a multipolar world: what “lest we forget” means now
On ANZAC Day 2026 I remember the ordinary diggers behind the legend and reflect on Australia’s place in an emerging multipolar world, from Gallipoli to today’s conflicts.
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.