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What Stays Scarce
When intelligence becomes abundant, everything depends on what cannot be generated. The manifesto connecting every Node Labs research track.
A growing series of papers on AI, expertise, education, and the future of work.
Node Labs publishes research and thought leadership grounded in 30 years of working inside technology — not observing it from a distance. These papers don't chase trends. They sit with the uncomfortable questions until the answers become unavoidable.
When intelligence becomes abundant, everything depends on what cannot be generated. The manifesto connecting every Node Labs research track.
AI, expertise, and the generation being left behind
AI amplifies existing expertise rather than creating it. This paper examines how judgment is built, why junior pathways matter, and how a generation can look capable on the surface while missing the feedback loops that produce real mastery.
Read the paperExperts and novices using AI side by side
Structured research comparing how experts and novices use AI within the same domain — examining the questions asked, the outputs accepted, the errors missed, and the confidence expressed. Proof of the thesis, and a pointer toward the solution.
In progressRecommendations for parents and educators
Concrete recommendations grounded in the research — oriented toward the family, the classroom, and the school. Not the algorithm. Not the policy document. The room where a young person is, or isn't, being given the chance to struggle productively.
In progressAI is the new Number 8 Wire
Why builders, operators, and subject-matter experts can now move faster, shape software directly, and reclaim ground from abstraction-heavy delivery models. The people who understand the problem have always been the scarce resource. Now they can build too.
Read the paperWhat happens when tradies start building with AI
An exploratory observational case study of trades-focused communities, examining how domain practitioners build with AI once the development barrier falls and the reality barrier remains.
Every generation feared the machine. Every generation was eventually fine.
A broader essay on technological upheaval, labour displacement, and why AI still deserves closer attention than the comforting historical analogies suggest.
Read the essayWhat video games taught a generation about digital scarcity and the rules of money
An essay on gaming, digital scarcity, and Bitcoin as a systems-literacy bridge for a generation that already learned supply, demand, ownership, and rule design inside game worlds.
Read the paperReputation, Bitcoin, and the currency that refused the crowd
Science fiction imagined a money made of reputation, then warned that it would destroy us. This paper uses Whuffie to examine why Bitcoin's refusal to let the crowd keep score matters.
Read the paperNode Labs is the research and thought leadership arm of node.org.nz — a space in Auckland, New Zealand, built on the belief that kids are far more capable than we give them credit for, and that genuine agency comes from direct contact with how things actually work.
Raw ethos. Real tools. Long-term thinking.
Jason Langis has spent 30 years in software development, starting as an entry-level software tester in 1996 and building a long-running New Zealand software testing consultancy. He founded TestAI in 2019 and is the founder of node.org.nz.