Claims

There is a measurement puzzle in the modern economy: the number of patents has quadrupled over 40 years, there is rapid turnover in consumer electronics and new apps, yet standard economic measures show slower productivity growth today than in the 1950s-1970s (the 'boring pre-digital days').

The core explanation for the productivity puzzle is not measurement problems but the direction of AI development: if automation is overdone and information centralization is pursued, the promised productivity boom will not materialize.

There's a scenario where we build PhD-level or beyond intelligent AI systems, make researchers vastly more productive with autonomous research capability, and yet detect no change in global GDP growth for years afterwards, which would be 'very strange' and different from intuitive expectations of how capability increases translate to economic impacts.

Demand for electricity from AI and data centers now represents approximately half of US GDP growth, making energy supply constraints a direct brake on economic growth and a strategic national priority comparable to defense spending.

Every modern financial system is more complex than Rome at its height, every modern currency is more thoroughly decoupled from tangible value than the most aggressively debased denarius, and every modern supply chain contains more single points of failure than the entire Roman trade network at its most stretched.

There has been a narrow cone of progress in computers, the Internet, and artificial intelligence, but if technology means producing more with less, economic measures should show dramatic progress—they don't. Millennials are not dramatically better off than their boomer parents, indicating broad-based technological stagnation

The gap between capability development and application of that capability appears as 'stagnation' when viewed through economic growth statistics, but the internet had already enabled the breakthrough technically before its economic effects became visible.

Ferguson doesn't see that any technology can significantly offset GDP decline caused by population shrinking because ultimately growth is about consumption—it's about more humans doing more work and then buying more stuff that the work has produced.

If a recession occurs, firms that previously resisted AI adoption (because ChatGPT wasn't good enough) may accelerate AI deployment to reduce costs, transforming 'maybe just good enough' technology into the driver of a multi-year economic and technological reordering.

The international specialization of the semiconductor supply chain, with Dutch companies focusing on lithography, American firms on deposition and etching equipment, California firms on chip design, and Taiwanese firms on manufacturing, has created extraordinary efficiencies that enable Moore's Law to continue.

The most compelling pitch for blockchain-based platforms to creators is simply: 'Do you want all the money instead of none of the money?'—this is a more direct and powerful motivation than governance arguments.

Take rates are the primary mechanism by which platform companies extract monopoly rents, and comparing take rates across different internet architectures reveals the economic advantage of decentralized systems.

Take rates in Web 2 platforms are extremely high and largely hidden from users: Apple charges 30% for app distribution, social networks take nearly all advertising revenue (approximately $150 billion annually), while open protocols like email and web have zero take rates.

Adoption of cryptocurrency (especially stable coins) is higher in countries with volatile currencies (e.g., ~18% of Argentinians own stable coins) than in the US, showing crypto solves real problems for vulnerable populations.

S-curve adoption patterns are not driven by government legislation but occur because new products are superior (better quality and cheaper) than existing alternatives, causing consumers to buy more of them and less of existing products, which reduces prices further and accelerates demand in a self-reinforcing cycle.

Anything that can be free on the internet will become free, and anything that can require fewer clicks/less friction will become lower-friction—these are inevitable market forces, not optional design choices.

The consumer chip market in China is the largest in the world, with approximately $200 billion USD in purchases in 2021, representing about 35 percent of the world's total consumption of chips, despite China being an electronics manufacturing powerhouse and net exporter of electronics.

North America has one-third of global population consumption, which is enough to supply a mass production system, while being able to co-locate manufacturing with population centers using technologies like 3D printing and computer-aided design.

One of globalization's great achievements has been bringing food, energy, and raw materials to every country that wants to participate, but the technologies of industrialization are not sustainable without these inputs, so countries that lose access to them will de-industrialize.

The collapse of globalization does not mean the end of smartphones and cheap gadgets for North American consumers because North America has favorable demographics for both production and consumption and can supply a mass production system with one-third of global population consumption.

Tech and electronic manufacturing specifically is problematic for North American reshoring because it requires different labor price points for different parts (wiring systems, plastic shells, batteries) with wage differences of approximately 10x from low-end to high-end, which East Asia achieves through geographic stratification across countries.

Modern manufacturing touches almost every country in the world and even relatively simple products touch 50 different countries, with complex products like iPhones and automotive systems involving 30,000 individual pieces each with their own supply chain.

The future of manufacturing is co-located with population centers in regions like Texas-Mexico interface and Jersey, where industrial space and warehouses already exist and only need machine shops to be brought in.