Content moderator — 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
● 2 verified events for this occupation, plotted at the date it happened — the parts of the line near a marker are anchored to something checkable.
The only curve on this site whose later points can be checked against a number the employer is legally obliged to publish. It starts high because classifier-based takedown of spam, nudity and known-bad hashes was already routine before language models — the 2022 level is not an AI story, it is a decade of matching systems. The steep stretch is 2023 into 2024, when the same platforms began applying general-purpose models to the part that had needed reading rather than matching: context, intent, and the caption that changes what the image means. It flattens after 2025 for a reason the published reports show rather than a reason we assume — the automated share of enforcement actions is already above nine in ten at the largest platforms, so there is very little headroom left in the measure, and what remains is the contested residue that has resisted every increment so far. It does not reach the top because appeal against an automated decision is compulsory in the European Union, which puts a permanent person downstream of the machine.
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.
Method and sources#
- Assessment date
- 2026-09-23
- Basis of the task judgements
- 2 evidence-backed · 4 platform inference · 0 not enough evidence
- Verified events
- 2