AI is changing the risk profile of cybersecurity, turning data minimisation from a privacy nicety into a frontline defence. The less data you hold, the less there is for AI‑enabled attackers to exploit.
The story we tell ourselves about technology and jobs has almost always been wrong, at least in the short term.
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.
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.
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 isn’t magic. It’s change management (and people). Ignore that at your peril.
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.
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.
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?
Etsy witches, AI, & young people quietly returning to the Catholic Church might look unrelated, but they all signal a crisis of trust in institutions.
Etsy witches, constitutional AI, and rising geopolitical risk are all symptoms of the same restless zeitgeist.
Australia’s lack of serious, at‑scale compute is not just a research productivity problem, it is a sovereignty problem as well. Our universities are trying to do world‑class work on infrastructure that simply does not match the ambitions in our national AI strategies or data sovereignty rhetoric.