European Union
EU AI Act
These are the sources that shape how we think about AI, work, and human capability. Not proof. Not peer-reviewed causation. Just a serious, ongoing effort to read widely and think carefully about what AI is actually doing to the way people work.
This page is a representative selection. The full picture is much larger.
We wade through a lot: regulatory documents, industry reports, academic papers, books, survey data, and emerging scholarship. Most of it is useful. Some of it is hype.
The framework reflects what holds up across multiple sources over time, not a single study and not a single moment.
For European organisations, this is not a coincidence. It means the Futurebraining capability framework aligns with what regulators already require.
The Futurebraining capability framework maps directly onto this definition. That is the result of building from the same first principles, not a coincidence.
The frameworks regulators are building from. These set the floor for what counts as serious AI literacy.
Survey data, programmatic research, and longitudinal studies tracking how AI is reshaping employment in real time.
The current pulse of enterprise AI: agents, adoption, and organisational design. Read with skepticism, but read.
Books that develop a thesis at length: practitioner, economic, political, philosophical, and at the edge.
Some confirm what we already think. Some change it. The framework is updated as the evidence builds, not fixed at a single point in time.
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