Shrinks with AI

Receptionist

137.3K UK workers · typical pay £20,000 · entry route GCSEs grades 4-9 (A*-C). Projected decline of -8% to 2035.

How AI is actually used here · measured · Anthropic Economic Index

Thin signal. Only 25% of the Claude usage mapped to this job is actual work. The rest is personal or study use of the same skills. Read the figures below as indicative, not precise.

48%

Augmentation

AI mostly does the task

6.2×

Time compression

~3.1h → ~30min

2.63/5

AI autonomy

how hands-off it runs

52%

Automation

of measured usage

How the collaboration splits · the six measured modes

directive 37.4%learning 22.7%task iteration 21.6%feedback loop 13%unclassified 2.9%validation 2.4%

What people make with AI here

explanation / answer29%analysis / summary17%advice / recommendation9%

Real Claude.ai usage mapped to this occupation's SOC group, Apr+May 2026, CC-BY. Claude users only; task times model-estimated; augment/automate is how AI is used, not a count of jobs lost. Method →

Facts · ONS + NCS

UK workers (2024)

137.3K

Median pay

£20.0K

Our scored call · a labelled hypothesis, not a measurement

AI exposure

6 / 10

Elasticity

2.5 / 10

2035 outlook

-8%

Exposure · 6/10

Why AI can do the work

While the physical presence of a receptionist provides a buffer, many core tasks like managing bookings, answering enquiries, and processing payments are increasingly automated via AI-driven kiosks and chatbots. The role is shifting toward a hybrid of physical hospitality and digital administration, where AI can significantly reduce the number of staff required to manage front-of-house operations.

Elasticity · 2.5/10

Gated by saturated

Whether demand expands when it gets cheaper

The volume of reception work is strictly tied to the number of physical sites and visitor traffic, which does not increase simply because the cost of processing a visitor decreases.

Trajectory to 2035