About Applied Methods

AI doesn't transform work in the abstract. It is applied to the underlying method: how an underwriter prices risk, how a recruiter screens candidates, how an engineer ships code. The value of AI is unlocked not by the technology alone, but by the people who understand the method being transformed — and can rebuild it from the ground up.

How we work is changing too quickly to be understood from the outside. Surveys of executives capture the perspective of leaders no longer close enough to the method to see how it is shifting. Legacy enterprise hiring and layoffs are a poor signal too — a company shedding a thousand roles is usually reacting to a bloated organisation under cover of an emerging technology, not demonstrating how that technology changes the work itself.

A clearer signal sits with AI companies themselves: the labs building the models, the companies building the infrastructure, and the companies building AI-native applications. These are the organisations staffing, from scratch, for a world in which the method and the model are designed together.

Applied Methods tracks hiring at established and emerging AI companies. Every active posting is classified into a taxonomy of functions and roles that is constantly evolving: new roles emerge, existing ones shift, and the skills required to stay competitive are changing in real time.

Applied Methods exists to make those shifts visible early. Our taxonomy is updated in real time to reflect the meta as it moves. For the people closing the gap themselves, staying ahead of how AI companies are hiring is one of the more direct ways to stay competitive in a market that rewrites itself faster than it can be surveyed.

• Looking for a new role? → /jobs
• Curious about the companies transforming the way we work? → /companies
• Want to see how roles are evolving in real time? → /meta
• Want the analysis? → /signals