Guides
Guides
Longer pieces on the organisational factors that decide how AI transformation lands on an individual role — written to be read, argued with, and quoted, not to rank.
Method
How to assess your own AI risk — six questions, and what counts as an answer
You cannot assess your exposure to AI by researching AI. Six questions that use evidence you already have — what your employer can deploy, what management has not said, who is in the room.
Read the guide →Pressure
AI anxiety at work — what it is tracking, and why reassurance slides off it
AI anxiety at work tracks how much you do not know about your own position, not how capable the technology is. Why reassurance slides off it, and which unknowns are actually worth resolving.
Read the guide →Diagnostic
The blind spots in AI transformation — and why they are organisational, not technical
Most people assess their AI risk by asking what the technology can do. The decisive factors are organisational: deployment capacity, management silence, adaptation track record, decision proximity, and regulatory leverage.
Read the guide →Clarity
Replaced or augmented? The question has no general answer — and that is the answer
Replacement and augmentation are not properties of a technology — they are outcomes of decisions your organisation makes. Why AI anxiety persists, what it is usually tracking, and how to convert it into information.
Read the guide →Regulation
What the EU AI Act means for employees — and the shallow AI nobody owns
Employees read AI regulation as their employer’s compliance burden. For many roles it does the opposite: it creates legally-required demand for human judgement and oversight — including for the shallow AI deployments nobody owns.
Read the guide →