The Gold Asset Currency: AI, Sovereignty, and the Problem of Trust
How AI-assisted resource mobilisation and asset-backed money could help build a more efficient global economy.
How AI-assisted resource mobilisation and asset-backed money could help build a more efficient global economy.
Fierce brand rivalries can coexist with concentrated ownership, shared infrastructure and mutual dependence. What does this mean for consumer choice and the AI economy?
China may not need the world’s smartest AI to reshape the market. Efficient models, industrial scale and affordable everyday intelligence could change the economics of AI.
AI and scientific capability are scaling rapidly, but human progress depends on application, execution and deployment. Why water, energy and sufficiency must remain central to technological priorities.
AI has made knowledge easier to access and synthesise, but not wealth easier to create. The missing link is fine-tuning: the practical judgment, experience and execution that turn intelligence into economic value.
AI can research, reason and write, but does intellectual capability create ownership? The Thinking Calculator principle separates contribution, authorship, ownership and economic value.
AI can make knowledge abundant, but not wealth automatic. Explore the links between capability, execution, premium pricing, demand and economic value.
Three Centres of Power in a Possible Post-ASI Civilisation. A speculative analysis of how the masses, asset-owning classes and AI systems might compete over resources, ownership, control and human agency.
AI is making intellectual execution abundant. Explore why specialised judgment, critical checkpoints and AI orchestration may reshape expertise and create a K-shaped economy.
AI is weakening the scarcity of specialised knowledge and execution. What does that mean for professional careers, education and the future value of expertise?
As AI makes intelligence easier to access, economic advantage may shift towards ownership of the resources that turn ideas into real-world value: capital, infrastructure, networks and distribution.
AI is making expertise, execution and innovation easier to reproduce. As competitive moats erode and competition intensifies, adaptability may become the advantage that matters most.
AI may displace existing tasks—but job-loss forecasts can miss the new fields, micro-specializations and expert networks that become possible when the cost of thinking falls.
An AI investment bust need not end the AI revolution. Explore how service-sector productivity, reusable data centres, real estate, capital flows, commodities and monetary policy could interact.
