Information clerks
Most of the workflow is automatable. Human judgment remains for exceptions, clients, or ambiguity.
SOC · Office And Administrative Support
Signal composition
how the 0-100 score is assembled
By seniority
multiplicative adjustment from category curve
Entry-level roles carry the brunt because they concentrate the most automatable subset of tasks. Senior work is insulated by judgment, relationships, and accountability.
Task-level analysis
scored 0-100 for current-generation AI feasibility, weighted by BLS-stated importance
Issue tickets, permits, licenses, or boarding passes
Issuing tickets, permits, licenses, and boarding passes is highly procedural and rule-based. Automated systems already handle most of this in transportation and licensing contexts, with AI validating eligibility and generating documents with minimal human involvement.
BLS evidence: Reservation and transportation ticket agents 'sell and issue tickets' and ticket agents at airports 'issue boarding passes to passengers,' while license clerks issue licenses after processing applications.
File and maintain paper or electronic records
Document management systems with AI can automatically classify, tag, index, and retrieve electronic records. For paper records, OCR digitization followed by automated filing is mature technology. This task is highly automatable with existing systems.
BLS evidence: Information clerks 'file and maintain paper or electronic records' as a typical duty, with file clerks specifically entering, retrieving, organizing, and filing documents.
Collect and record data from customers, staff, and the public
AI can extract structured data from forms, conversations, and documents with high accuracy using OCR, NLP, and form-filling interfaces. This is a core strength of current AI systems, requiring minimal human review for standard data collection workflows.
BLS evidence: Information clerks 'collect and record data from customers, staff, and the public' as a core duty listed in the Duties section.
Respond to inquiries and prepare standard correspondence
AI can draft standard correspondence responses based on inquiry type, pulling from templates and knowledge bases. Email automation and chatbot systems already handle routine inquiries end-to-end. Only non-standard or sensitive communications require human drafting.
BLS evidence: Correspondence clerks 'respond to inquiries from the public or customers' and 'prepare standard responses to requests for merchandise, damage claims, delinquent accounts, incorrect billings, or complaints.'
Prepare routine reports, claims, bills, or orders
Generating routine reports, claims, bills, and orders from structured data is a strength of current AI and automation systems. Template-based document generation with data population is well-established, requiring only spot-checking by humans.
BLS evidence: Information clerks typically 'prepare routine reports, claims, bills, or orders' as listed in the Duties section.
Maintain personnel or organizational records
HR information systems with AI can maintain personnel records, track changes, ensure compliance, and flag anomalies. The structured nature of organizational records makes this highly automatable, with humans needed mainly for sensitive updates or disputes.
BLS evidence: Human resources assistants 'maintain personnel records on employees, including their addresses, employment history, and performance evaluations' and municipal clerks 'maintain government records.'
Process customer requests, orders, reservations, or applications
AI can process standard requests, orders, and reservations through automated workflows, validating inputs and routing appropriately. Most e-commerce and booking systems already automate this heavily. Non-standard requests requiring judgment still need human review.
BLS evidence: Order clerks 'receive requests from customers and process their payments,' reservation agents 'take and confirm passengers' bookings,' and license clerks 'process applications for licenses and permits.'
Answer questions from customers and the public about products or services
AI chatbots and voice assistants can now handle most routine customer questions about products/services with high accuracy, accessing knowledge bases and FAQs. Complex edge cases or emotionally charged situations still benefit from human intervention, but the majority of inquiries are automatable.
BLS evidence: Information clerks 'answer questions from customers and the public about products or services' as a primary duty listed in the Duties section.
Check in and check out guests or customers
Self-service kiosks and mobile check-in systems already automate much of this task in hotels and airports. AI can verify credentials, process payments, and issue room keys/boarding passes. Physical presence is sometimes needed for ID verification or problem resolution.
BLS evidence: Hotel, motel, and resort desk clerks 'check guests in and out, assign rooms, and process payments.'
Conduct interviews to determine eligibility or gather information
AI can conduct structured interviews via chatbot or voice interface and assess eligibility against clear criteria. However, nuanced judgment calls, reading between the lines, and handling sensitive personal situations still require human involvement for quality and trust.
BLS evidence: Eligibility interviewers 'ask questions both in person and over the phone to determine whether applicants qualify for government assistance' and general interviewers 'ask questions over the phone, in person, through mail, or online.'
Task heatmap
automation score by task, sorted by weighted contribution
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External signals and sources
category-level priors and BLS fields that feed the four non-task signals
- Karpathy/BLS Digital AI Exposure (0-10 scale rescaled to 0-100)
- BLS projected outlook: Decline (-3%)
- Indeed demand signal (monthly refresh pending)
- BLS typical entry-level education: See How to Become One
- Credential trend signal (annual refresh)
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