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Understanding how automation changes work — task by task, with the evidence shown and the uncertainty admitted.

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On this pageWhich technologiesHow it got hereMethod and sources
Occupations›Counsellor / therapist›How we know

Counsellor / therapist — 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.

Assessed
2026-09-13
With evidence
2/6
Verified events
3

Which technologies matter here#

Four separate signals. They are deliberately not added together — a job exposed to two technologies is not twice as exposed.

Cognitive automation
Being there at three in the morningThe notes and the formsNoticing what is not being saidThe relationship itselfMaking a therapeutic decisionAnswering for a tool in the room
Process & self-service
The notes and the formsMaking a therapeutic decisionAnswering for a tool in the room

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.

Reconstructed · platform inferenceEstimated today for each past checkpoint — not measured at the time. 14 → 41.
1007550250
NHS England published its assessments of digitally delivered therapy products, recording three of eleven as not compliant and three more as approved only when a therapist routinely delivers themIllinois enacted the Wellness and Oversight for Psychological Resources Act, barring AI from mental health and therapeutic decision-making and permitting it only for administrative supportJapan's certified psychologist law requires the practitioner to take the instruction of the attending physician where the person has one, and makes using the protected title a criminal offence123456789not assessed
2022 H22024 H2Now

—— this stretch contains a verified event- - - no event in this stretch — reconstruction only0 = no task exposed, 100 = every task exposed

● 3 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 lowest start of any cognitive occupation here — before 2022 almost nothing in this work was automated, because a conversation was the product. The steep 2023-2025 climb is unusual in kind: the substitute is not doing the job better, it is competing on availability, price and the absence of anyone who might judge you, which are dimensions the profession never offered and cannot match. Those matter most at the lightest, highest-volume end. It flattens because the rest of the work went the other way: in August 2025 one US state placed therapeutic decision-making with a licensed person by statute and allowed AI only for administrative support — regulation arriving ahead of deployment rather than after it. Read the curve as a split market rather than a shrinking one, and note what it cannot see: whether the people using a free substitute at 3am would ever have booked an appointment.

12022 H214General-purpose text generation reaches the public. Before this point, exposure came from automation that was already deployed — OCR, RPA, machine vision, self-checkout, dispatch algorithms. ChatGPT research preview (2022-11-30) ↗
22023 H116A general model that passes professional exams. First-draft quality crosses the threshold where professional work starts using it. GPT-4 (2023-03-14) ↗
32023 H222Vision input, long context and tool calling. Models can be pointed at documents and connected to systems, which is what moves process work rather than writing work. GPT-4 Turbo:128k 上下文、视觉、工具调用(DevDay) (2023-11-06) ↗
42024 H129The same capability gets much cheaper and faster. Nothing new becomes possible; a lot becomes affordable at volume, which is when deployment decisions change.
52024 H235Reasoning models that work through multi-step problems, and the first models that operate a computer by looking at the screen. The second one is what reaches software-operating jobs. OpenAI o1(推理);同期 Claude 的 computer use 进入公测 (2024-09-12) ↗
62025 H138Agents begin operating real software end to end rather than producing text for a person to paste. This is also when the first public reversals appear — organisations that automated and partly undid it. Claude 3.7 Sonnet 与 Claude Code:混合推理 + 命令行编码代理 (2025-02-24) ↗
72025 H240Long context and tool use become the default rather than a feature. Capability gains continue; the visible constraint shifts from what models can do to liability, procurement and cost. GPT-5(2025-08-07);Claude Opus 4.5(2025-11-24) (2025-08-07) ↗
82026 H141Long-horizon agents land inside specific industry workflows. Adoption becomes sector-specific rather than general. GPT-5.5:「专为实际工作打造」 (2026-04-23) ↗
9Now41The current assessment — this point is the impact index published on the occupation's page, so the curve is anchored to a number the site already stands behind. Worth noting for the flat curves: in the same weeks, a research preview of a shared specification for AI agents to operate physical devices was opened to research labs and manufacturers. That is the first capability class pointed at the physical occupations whose lines here barely move. GPT-6 Astra(2026-09-03);Claude Fable 5.1 / Mythos 5.1(2026-09-01);Model Hardware Standard 研究预览(2026-08-27) (2026-09-03) ↗

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.

  • The jobs AI law already changed before any AI arrived

Method and sources#

Assessment date
2026-09-13
Basis of the task judgements
2 evidence-backed · 4 platform inference · 0 not enough evidence
Verified events
3

How we assess an occupation →

← Back to Counsellor / therapistThe other layer: every task, one by one →