Will AI replace Receptionists and Information Clerks?

There is no dataset that measures "replacement." What we can do is put three independent, published measurements next to each other for Receptionists and Information Clerks and let them stand on their own: how much of the work overlaps with what AI can do, what people who use AI in this job actually do with it today, and what the labor market is projected to do. None of these is a forecast of the role disappearing.

1. How much of the work overlaps with AI

Published exposure research places Receptionists and Information Clerks at a high exposure level (around the 78th percentile across all occupations). Exposure measures the share of tasks that overlap with current AI capabilities — it is not a measure of how many of those tasks will actually be automated, or on what timeline, or whether the role as a whole goes away. · AI assistant applicability (Microsoft)

A second, independent read agrees on the order of magnitude: the ILO's 2025 global study — scored on the international ISCO-08 system and bridged to Receptionists and Information Clerks through the published (approximate) O*NET-SOC crosswalk — places this work around the 95th percentile of 427 occupations, with about 57% of its tasks exposed. See the gradient →

2. What people actually do with AI here today

In observed AI conversations mapped to this occupation, usage leans toward automation — whole tasks handed to AI (55.1% of measured use) over working alongside it (33.1% augmentation-leaning). This is a sample of Claude.ai conversations, model-rated, not a census of the whole workforce. · Anthropic Economic Index

Tasks more often handed to AI

• Process and prepare memos, correspondence, travel vouchers, or other documents. · 3.9% of measured use
• Schedule appointments and maintain and update appointment calendars. · 1.2% of measured use
• Analyze data to determine answers to questions from customers or members of the public. · 0.7% of measured use
• Schedule space or equipment for special programs and prepare lists of participants. · 0.5% of measured use
• Perform administrative support tasks, such as proofreading, transcribing handwritten information, or operating calculators or computers to work with pay records, invoices, balance sheets, or other documents. · 0.3% of measured use

Tasks where a human is still in the loop

• Schedule space or equipment for special programs and prepare lists of participants. · human still needed in 100.0% of cases
• Perform administrative support tasks, such as proofreading, transcribing handwritten information, or operating calculators or computers to work with pay records, invoices, balance sheets, or other documents. · human still needed in 100.0% of cases
• Schedule appointments and maintain and update appointment calendars. · human still needed in 99.2% of cases
• Process and prepare memos, correspondence, travel vouchers, or other documents. · human still needed in 96.7% of cases
• Analyze data to determine answers to questions from customers or members of the public. · human still needed in 91.7% of cases

3. What the labor market is projected to do

The Bureau of Labor Statistics projects employment for this occupation as about average (0.0% over 2024–34) , with roughly 128,500 openings projected per year (growth plus replacement). A projection is a model of the labor market, made before AI's full effect is known — but it is the closest thing we have to an official outlook. · BLS Employment Projections

The skills that travel either way

Whatever AI does to the tasks, these are the highest-importance capabilities this work runs on — the ones worth deepening because they transfer across how the job evolves.

• Customer and Personal Service
• Oral Expression
• Speaking
• Oral Comprehension
• Speech Recognition

The honest bottom line

No single dataset says so — here is what the evidence actually measures. Exposure is task overlap, not a verdict. Observed use is a sample, not the whole workforce. The employment projection is a model, not a promise. They measure different things and they do not have to agree. Read them together, see the full Receptionists and Information Clerks profile for the underlying numbers, and draw your own conclusion.

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@misc{singulariki-will-ai-replace-receptionists-and-information-clerks,
  title  = {Will AI replace Receptionists and Information Clerks?},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/questions/will-ai-replace-receptionists-and-information-clerks}
}