AI exposure by occupation, O*NET 43-4171.00

Will AI replace Receptionists and Information Clerks?

Receptionists and Information Clerks: AI can already handle 15 of 18 tasks; the work mostly needs a standard-tier model.

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Every task, scored

The 18 tasks O*NET 30.3 lists for Receptionists and Information Clerks, from most to least exposed. 15 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Analyze data to determine answers to questions from customers or members of the public. 97 Observed Standard 4.2
Collect, sort, distribute, or prepare mail, messages, or courier deliveries. 90 Estimated Efficient 3.9
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. 85 Estimated Standard 4.0
Calculate and quote rates for tours, stocks, insurance policies, or other products or services. 80 Estimated Frontier 4.2
Operate telephone switchboard to answer, screen, or forward calls, providing information, taking messages, or scheduling appointments. 75 Estimated Efficient 4.7
Greet persons entering establishment, determine nature and purpose of visit, and direct or escort them to specific destinations. 75 Estimated Efficient 4.7
Receive payment and record receipts for services. 75 Estimated Frontier 4.6
Hear and resolve complaints from customers or the public. 75 Estimated Efficient 4.1
Provide information about establishment, such as location of departments or offices, employees within the organization, or services provided. 75 Estimated Standard 4.0
Keep a current record of staff members' whereabouts and availability. 75 Estimated Efficient 3.9
Schedule space or equipment for special programs and prepare lists of participants. 75 Estimated Efficient 3.5
Enroll individuals to participate in programs and notify them of their acceptance. 75 Estimated Standard 3.2
Take orders for merchandise or materials and send them to the proper departments to be filled. 75 Estimated Efficient 3.2
Process and prepare memos, correspondence, travel vouchers, or other documents. 74 Observed Efficient 3.4
File and maintain records. 65 Observed Standard 4.1
Perform duties, such as taking care of plants or straightening magazines to maintain lobby or reception area. 50 Estimated Efficient 3.4
Schedule appointments and maintain and update appointment calendars. 40 Observed Efficient 4.4
Transmit information or documents to customers, using computer, mail, or facsimile machine. 40 Observed Efficient 4.1

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 5 of 18 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 13 of 18. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A standard-tier model or lower covers 88% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
910,180
Median annual wage
$38,010
Middle half of earners
$33,960 to $45,130
Projected change, 2024 to 2034
0.0%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Receptionists and Information Clerks and AI

Will AI replace Receptionists and Information Clerks?

AI already handles 15 of the 18 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 72 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by 0.0% from 2024 to 2034.

What is the AI exposure of Receptionists and Information Clerks?

72 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 5 of the 18 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 13 are estimated from each task's O*NET work activity.

Which Receptionists and Information Clerks tasks can AI already do?

The tasks with the highest exposure are: Analyze data to determine answers to questions from customers or members of the public; Collect, sort, distribute, or prepare mail, messages, or courier deliveries; 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. They are three of the 15 tasks that reach 60 or more.

What AI model tier does this role need?

A standard-tier model or lower covers 88% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Receptionists and Information Clerks, and what do they earn?

910,180 people in the United States, with a median annual wage of $38,010 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of 0.0% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Receptionists and Information Clerks. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/receptionists-and-information-clerks

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