When AI escapes containment: rethinking data protection in the agentic era When frontier AI models start “escaping containment” and hacking real systems, the threat model for every organisation changes overnight.
When AI escapes containment: Superintelligence, cyber risk, and protecting your data When frontier AI models start “escaping containment” and hacking real systems, the threat model for every organisation changes overnight.
AI coding tools and the junior talent pipeline: a capability problem, not a tooling problem AI coding tools have moved from novelty to infrastructure. The question is no longer whether developers will use AI - they already do. The real question is what this means for junior talent and the skills pipeline Australian organisations depend on.
Stop trying to turn PoCs into products Many AI & software initiatives stall because proofs-of-concept, pilots, and production get blurred. This post explains why PoCs must stay disposable, and how pilots and production prove practicality and accountability.
Bringing AI products to life Most organisations have AI ideas but lack a disciplined AI development lifecycle. This post outlines a practical, governed process from problem framing to FinOps‑aware operations for AI products
Managing your innovation pipeline through AI projects Many organisations “try AI” without real business requirements, guardrails or an innovation pipeline. This post explains how to manage AI projects as an innovation portfolio and why agile still needs clear functional and non functional requirements.
How material practice shapes innovation: the surprising origins of zero and AI The future of work is not about job loss. It is about how work reorganises around new tools.