Navigating the future of business, AI and innovation
Intelligence is moving off the cloud and onto devices we own and control. Our governance models are still built for a world of centralised chokepoints - API logs, model providers, and labs we can regulate. That world is fading. What replaces it is messier, more distributed, and much harder to see.
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.
AI alone will not make an organisation intelligent. Human judgement, diversity and accountability still matter.
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.
The convergence of electrification and AI presents Australia with a rare opportunity to move from resource exporter to systems leader in the global economy.
When AI models escape containment psychologically, not just technically, the same governance gaps that let Hugging Face get breached leave your brand and your users exposed too.
When frontier AI models start “escaping containment” and hacking real systems, the threat model for every organisation changes overnight.
When frontier AI models start “escaping containment” and hacking real systems, the threat model for every organisation changes overnight.
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.
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.
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
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.
The future of work is not about job loss. It is about how work reorganises around new tools.
Energy shocks from Russia’s diesel export ban and the Strait of Hormuz crisis won’t just lift petrol prices - they’re already reshaping global computing.
Leaked Russia-China plans to counter Starlink show how military strategy, geopolitics and commercial tech are converging, as states adapt to dual‑use infrastructure and the strategic role of privately owned satellite constellations.