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.

Free software once mattered deeply, but faded when SaaS made those freedoms feel irrelevant.

Grow 10% or earn 40%, no middle path is left.

It‘s maybe time to think about the theoretical limits of the current economic system (which could surprisingly soon become very practical).

Large companies spent years rewarding the representation of work over the work itself. In the AI era, that has led to a crisis.

AI-native startups are doing more with less — 40% smaller teams, 6x higher revenue per employee — and the data confirms it’s not just hype.

The next $1T company will be a software company masquerading as a services firm.

Report by Anthropic reveals how AI has been narrowing the "front door" for new talent.

How corporate platforms force a specific, hollow performance.

Our current neoliberal version of capitalism has built a rent-extraction layer on top of human limitations that agents don't have.

Every company building an AI assistant is also building hardware that listens and watches 24/7. Local on-device inference is the only way out.