Mapping the AI value chain
Most organisations chase AI capability without asking where it sits in the business. Applying Porter's value chain to AI makes the dependencies visible - and reveals which layer is actually your constraint.
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The intelligent organisation is not the one with the most AI
AI alone will not make an organisation intelligent. Human judgement, diversity and accountability still matter.
Australia needs to stop talking about AI as if it were just software
Australia keeps talking about AI as if it were a software problem, but the real issue is the stack beneath it: compute, chips, infrastructure, governance, and decision rights.
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.
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.