Technology, economics, AI, and building software products.
AI pair programmers have made it possible for non-developers to ship real software in days. Here's how small business owners are using it to escape expensive SaaS.
At $400k your KiwiSaver provider takes ~$4,800 a year in fees. VOO charges 0.03%. Here's the maths — and how to invest directly from NZ.
Systems have shifted before. Not often, not easily, and never cleanly — but the pattern of how they shift is more consistent than most people realise.
If your AI bill just crossed $4K/month, you've hit an inflection point. It's not a panic moment — it's a signal that you've outgrown the pure cloud-API model.
The deflationary spiral may force some form of AI-managed resource allocation. The question is whether the infrastructure for that transition exists — or whether it collapses into something worse.
AI is removing the admin layer that kept small operators uncompetitive. For trade businesses and solo founders, this is not disruption to survive — it is a structural shift that removes barriers.
A nurse, a farmer, a local council worker — anyone can now build real working software without a degree or a large budget. This is the most significant democratisation of human capability since the printing press.
Running agent loops on cloud APIs burns tokens on every cycle. Local-first AI keeps autonomous agents fast, private, and cost-effective at operational scale.
Open-weight models have closed the enterprise performance gap. The AI valuation premium built on proprietary model scarcity is over — and the startups that raised on that premise are exposed.
What once took teams of developers months can now be accomplished in hours by a single person with AI agents. The compression is not incremental — it is restructuring who can build what.
Off-the-shelf software forces your business to fit the tool. Custom software does the opposite — and with AI cutting development costs, it is now within reach for businesses that previously could not afford it.
The mechanism behind today's cost-of-living squeeze is simpler than politicians suggest: massive pandemic-era money supply expansion through bond issuance — and the structural constraints preventing reversal.
You're not bad with money. The economy is creating money faster than it is creating value — and the newly created money reaches asset owners before it reaches you. This is structural, not personal.
Every serious reform hits the same wall: the people most affected have the resources and political influence to neutralise it. So what actually works outside the capture zone?
Two forces are converging: pandemic-era money supply expansion that locked in depressed purchasing power, and AI automation compressing entire categories of work. The next twenty years will be defined by both.
AI agents are not a productivity tool layered on top of existing work — they are a structural cost reduction in knowledge work itself. A candid breakdown of the economics, the industries in the first wave, and what a realistic response looks like.
When AI agents and robotics take over significant portions of economic production, powerful deflationary forces emerge. The mechanism is structural — and it is already reshaping industries.
AI deflation will not land evenly. A sector-by-sector analysis of which industries absorb the cost compression first, which benefit, and what the disruption path looks like.
AI is eliminating jobs at a scale that creates a self-reinforcing deflationary feedback loop — one that traditional monetary and fiscal tools may not be able to stabilise.
Google's AI summaries, ChatGPT, and short-form algorithms are ending the content-traffic model. The new stack is tools, not traffic.
Enterprise-grade software used to cost $100k+. AI-assisted development has cut costs by 30–60% — and levelled the playing field for small businesses.