Research theme

Advanced Technology

How technology reshapes markets, institutions, and power.

We examine where frontier capability is concentrating, which inputs constrain growth, and when adoption creates operating advantage.

Container port at dusk with a gantry crane over a loading ship
Current signal

What we study

  • Compute

    Accelerators, data centers, and power.

  • Artificial Intelligence

    Models, deployment, and adoption.

  • Automation

    Robotics, automation, and factories.

  • Regulation

    Export controls, antitrust, standards.

What we believe

Technology is increasingly the engine of growth and the accelerant of risk.

The constraint on artificial intelligence is moving from model capability to the physical plant required to run it: fab capacity, electricity, data centers, transmission, and the capital that pays for all of it. Nvidia's margins and the hyperscalers' capital budgets are the evidence. The contest is now over who can turn capital expenditure into lower computing cost, higher utilization, and recurring revenue.

  1. Capital intensity is rising.

    The AI buildout now resembles railroads and electrification, with the same dependence on cheap capital and the same exposure when it is withdrawn.

  2. Adoption helps determine how widely innovation creates value.

    The United States leads at the frontier and is losing ground at the deployment layer, where open weights, local hosting, and enterprise adoption decide who captures the productivity.

  3. Technology policy is becoming industrial policy.

    Export controls, chip subsidies, and grid access jointly shape where AI capacity can grow.

Latest Research

Report

Who Pays For The New Downtown?

Office conversion can create housing. Cities still need to know what their incentives buy, and who keeps the value they add.

Sep 16, 202644 min
Essay

The Age Gate

Rising liability is pushing governments toward age gates, design restrictions, and a regulatory model that could spread well beyond California.

Sep 11, 20268 min
Essay

Nvidia's Slow Burn Monopoly

Nvidia's $5 trillion valuation no longer turns on whether AI is real. It turns on how long the company can keep the rents.

Aug 28, 20269 min

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Key questions

  1. Where will the next wave of compute capacity be built?

  2. When does AI create measurable productivity gains at scale?

  3. Which inputs become binding constraints?

  4. How does technological capability translate into national power?