Information clerks

AI Overlap Index
65.8 / 100
Mostly Exposed

Most of the workflow is automatable. Human judgment remains for exceptions, clients, or ambiguity.

SOC · Office And Administrative Support

Bureau of Labor Statistics
Median pay
$43,730/yr
Hourly
$21/hr
Jobs 2024
1,336,600
Projected 2034
1,302,000
10-yr outlook
-3% · Decline
Employment change
-34,600
Entry education
See How to Become One
SOC code

Signal composition

how the 0-100 score is assembled

Task Automation Impact weight 60%
78.0
contribution to AOI: 46.8
Automation Potential weight 10%
70.0
contribution to AOI: 7.0
Market Pressure weight 15%
45.0
contribution to AOI: 6.8
Entry Barrier Erosion weight 15%
35.0
contribution to AOI: 5.2

By seniority

multiplicative adjustment from category curve

Entry
82.2
mult 1.25x
Mid
65.8
mult 1.00x
Senior
51.3
mult 0.78x

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

10 tasks · model: claude-sonnet-4-5-20250929
Important t9

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.

90
automation
Important t3

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.

88
automation
Core t2

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.

85
automation
Supporting t10

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.'

83
automation
Important t5

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.

82
automation
Important t8

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.'

80
automation
Core t4

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.'

75
automation
Core t1

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.

72
automation
Important t7

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.'

70
automation
Important t6

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.'

58
automation

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

Automation Potential
70
karpathy 7/10
  • Karpathy/BLS Digital AI Exposure (0-10 scale rescaled to 0-100)
Market Pressure
45
outlook: Decline
  • BLS projected outlook: Decline (-3%)
  • Indeed demand signal (monthly refresh pending)
Entry Barrier Erosion
35
ed: See How to Become One
  • BLS typical entry-level education: See How to Become One
  • Credential trend signal (annual refresh)

Related in Office And Administrative Support

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