Information clerks
This occupation is highly exposed because its core tasks—processing routine data, answering inquiries, and maintaining records—are fundamentally digital and information-based. While some roles like hotel desk clerks or airport agents require a physical presence, the majority of the work involves routine information processing that is increasingly being automated by AI-driven self-service systems, chatbots, and automated data entry tools.
Task breakdown
Based on 15 O*NET work activities for this occupation
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Tools built for this work
Builds customer service agents that resolve issues across chat, SMS, email, and voice, priced against outcomes rather than seats.
Learn moreSits inside Outlook, Word, Excel, and Teams — summarizing long email threads, drafting documents from a prompt, analyzing spreadsheets in plain language, and writing up meetings with action items.
Learn morePricing verified as of August 2026. Vendors change plans often — confirm on the tool’s site before buying.
3 ways to level up
Automate your reporting pipeline
Connect your data sources to AI-powered reporting. Generate weekly summaries, dashboards, or client updates automatically. Focus your time on analysis, not assembly.
Moves you from 7 → 8Deploy AI agents for routine decisions
Identify decisions that follow clear rules (scheduling, triage, categorization) and set up AI agents to handle them. You review exceptions, not every case.
Frees 5+ hours per weekTrain your team on AI-first workflows
Run a 1-hour workshop showing your team how you use AI. Share your best prompts and workflows. The compounding effect of team-wide adoption far exceeds individual use.
Multiplies your impact across the teamEstimated time savings
Conservative estimate based on AI exposure score and a 40-hour work week. Assumes 30% of exposed tasks produce real time savings today.
Personalized plan
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AI Score measures how much AI opportunity your role has. Higher scores mean more potential for AI-assisted productivity gains. Scores are derived from O*NET task data across 342 occupations. This is a starting point, not a verdict. Tool recommendations are based on industry fit and are not endorsements.