File correspondence, cards, invoices, receipts, and other records in alphabetical or numerical order or according to the filing system used. Locate and remove material from file when requested.
Time card
| Mine | Task, by time spent | Human | With AI | AI | Robot |
|---|---|---|---|---|---|
Input data, such as file numbers, new or updated information, or document information codes into computer systems to support document and information retrieval.1h 15m a shift · Observed in AI useTypical AI request: about 2h 22m alone, 14m with AIWhy this label?Marked AI because this task shows up regularly in real AI conversations (Anthropic Economic Index, 2025 usage), and in most of them AI does the task on its own rather than helping a person. Many workplaces may not use AI for it at all. How labels work | |||||
Perform general office activities, such as typing, answering telephones, operating office machines, processing mail, or securing confidential materials.1h 2m a shift · Robots only in factory cellsWhy this label?Robots have done this only in factory setups built around the machine, so it stays Human for file clerks. How labels work | |||||
Sort or classify information according to guidelines, such as content, purpose, user criteria, or chronological, alphabetical, or numerical order.55m a shift · Robots only in factory cellsWhy this label?Robots have done this only in factory setups built around the machine, so it stays Human for file clerks. How labels work | |||||
Find, retrieve, and make copies of information from files in response to requests and deliver information to authorized users.48m a shift · Robots only in factory cellsWhy this label?Robots have done this only in factory setups built around the machine, so it stays Human for file clerks. How labels work | |||||
Add new material to file records or create new records as necessary.34m a shift · Robots only in factory cellsWhy this label?Robots have done this only in factory setups built around the machine, so it stays Human for file clerks. How labels work | |||||
Scan or read incoming materials to determine how and where they should be classified or filed.34m a shift · No AI or robot evidence foundWhy this label?No AI use or robot deployment showed up for this task in our data. That isn't proof it's safe; it may just be rare in the data. How labels work | |||||
Answer questions about records or files.27m a shift · Observed in AI useTypical AI request: about 1h 10m alone, 14m with AIWhy this label?Marked AI because this task shows up regularly in real AI conversations (Anthropic Economic Index, 2025 usage), and in most of them AI does the task on its own rather than helping a person. Many workplaces may not use AI for it at all. How labels work | |||||
Place materials into storage receptacles, such as file cabinets, boxes, bins, or drawers, according to classification and identification information.27m a shift · Robots only in factory cellsWhy this label?Robots have done this only in factory setups built around the machine, so it stays Human for file clerks. How labels work | |||||
Keep records of materials filed or removed, using logbooks or computers and generate computerized reports.21m a shift · No AI or robot evidence foundWhy this label?No AI use or robot deployment showed up for this task in our data. That isn't proof it's safe; it may just be rare in the data. How labels work | |||||
Gather materials to be filed from departments or employees.21m a shift · Robots only in factory cellsWhy this label?Robots have done this only in factory setups built around the machine, so it stays Human for file clerks. How labels work | |||||
Eliminate outdated or unnecessary materials, destroying them or transferring them to inactive storage, according to file maintenance guidelines or legal requirements.21m a shift · Robots only in factory cellsWhy this label?Robots have done this only in factory setups built around the machine, so it stays Human for file clerks. How labels work | |||||
Assign and record or stamp identification numbers or codes to index materials for filing.14m a shift · Robots only in factory cellsWhy this label?Robots have done this only in factory setups built around the machine, so it stays Human for file clerks. How labels work | |||||
Modify or improve filing systems or implement new filing systems.7m a shift · No AI or robot evidence foundWhy this label?This is physical work, and no robot has been shown doing it yet. How labels work | |||||
Complete general financial activities, such as processing accounts payable, reviewing invoices, collecting cash payments, or issuing receipts.7m a shift · No AI or robot evidence foundWhy this label?No AI use or robot deployment showed up for this task in our data. That isn't proof it's safe; it may just be rare in the data. How labels work | |||||
Track materials removed from files to ensure that borrowed files are returned.7m a shift · Robots only in factory cellsWhy this label?Robots have done this only in factory setups built around the machine, so it stays Human for file clerks. How labels work | |||||
Perform periodic inspections of materials or files to ensure correct placement, legibility, or proper condition.7m a shift · Robots only in factory cellsWhy this label?Robots have done this only in factory setups built around the machine, so it stays Human for file clerks. How labels work | |||||
Retrieve documents stored in microfilm or microfiche and place them in viewers for reading.7m a shift · Robots only in factory cellsWhy this label?Robots have done this only in factory setups built around the machine, so it stays Human for file clerks. How labels work | |||||
Operate mechanized files that rotate to bring needed records to a particular location.7m a shift · Robots only in factory cellsWhy this label?Robots have done this only in factory setups built around the machine, so it stays Human for file clerks. How labels work | |||||
Design forms related to filing systems.time not estimated · No AI or robot evidence foundWhy this label?No AI use or robot deployment showed up for this task in our data. That isn't proof it's safe; it may just be rare in the data. How labels work |
