LO
Government service clerk — how we know
The page itself gives the judgements. This one gives what they rest on: which technologies bear on the work, how the estimate moved since language models reached the public, and the method behind both.
Which technologies matter here#
Four separate signals. They are deliberately not added together — a job exposed to two technologies is not twice as exposed.
How it got here#
The index is not a static number. This is where it would have sat at each capability checkpoint since ChatGPT — reconstructed, and labelled as such.
—— this stretch contains a verified event- - - no event in this stretch — reconstruction only0 = no task exposed, 100 = every task exposed
● 1 verified event for this occupation, plotted at the date it happened — the parts of the line near a marker are anchored to something checkable.
A high start, because this work was already being moved online before generative AI: portals, e-filing and self-service kiosks had been taking the routine counter transaction for a decade. The 2023-2025 climb is policy rather than capability — a national platform, standardised item lists with deadlines, mutual recognition of electronic certificates, each of which removes a document the counter used to check. It flattens because the same policy that moves the transaction also requires the counter to stay open for the people the platform cannot reach. Read the shape as a mandate rather than a market: what is unusual here is that the direction is written down, and what is still unknown is how completely it was implemented.
A flat line is not a forecast of safety. It says which tasks automation has reached so far — the occupations that moved least here are the ones where the constraint is physical or regulatory, and both of those can change.
Written about this#
These pieces argue from the same records this page holds, and each of their sections names what it rests on.
Method and sources#
- Assessment date
- 2026-09-13
- Basis of the task judgements
- 3 evidence-backed · 3 platform inference · 0 not enough evidence
- Verified events
- 3