Explore the argument that intelligence and the economy are converging into a single new system.

Building a Swamp Workflow reduced real world token usage of an AI Agent by 8x and improved execution time by 2x.

Send them $10,000. They send you $10,000. You’ve both booked $10,000 in revenue. Cash never moves. Everybody’s a rocketship.

The reality of how much damage AI mania is doing to our ability to run institutions effectively.

We are beginning to see what happens when a company learns to operate itself.

Organisations say they want innovation but keep killing it. The problem is the organisational decision-making machinery.

This year is Apple’s 50th year in business. Decades ago, it lost creative focus, and spread itself too thin.

UX teams should report business outcomes to show impact on revenue, cost, risk, speed, retention, and to secure resources.

When taste is weak, everything survives long enough to demand justification, and the organization slowly confuses activity with progress.

A few examples to help the average layperson understand the business side of AI.

What changed because we spent those tokens?

Tracking the spend and revenue of frontier AI companies.

AI progress creates more work for humans, not less.

Facts that link user experience directly to revenue, retention, and long-term growth.

How chasing passive income destroys the focus needed to build meaningful products.

Rapid AI scaling outpaces our ability to build safety guardrails.

American capital financed AI on the assumption it would be the next great monopoly.

Everyone is adding AI to their workflows. Almost no one is rethinking why the workflow is shaped that way in the first place.

We track the burn, the hype, and the inevitable pivot to litigation.

Why building hated tools is often more impactful than building ignored ones.