# Will AI replace stenographers? Updated October 2026 Typists score 66 of 100 for AI exposure. AI can already do 58% of their task time. Another 26% gets faster with AI, and 16% still needs a person. - **58%** AI can do it - **26%** AI helps - **16%** Needs a person High exposure Higher than 97% of the 923 occupations we scored. ## Task by task We graded 19 tasks, listed here from most to least exposed. AI can do 11 of them today, speeds up 5 and leaves 3 to people. | Task | AI exposure | | --- | --- | | Type correspondence, reports, text and other written material from rough drafts, corrected copies, voice recordings, dictation, or previous versions, using a computer, word processor, or typewriter. Speech and text AI turn dictation and drafts into documents. | 88% AI can do it | | Check completed work for spelling, grammar, punctuation, and format. Grammar and spell checks are routine for AI tools. | 85% AI can do it | | Search for specific sets of stored, typed characters to make changes. Find and replace is built into standard word processors. | 80% AI can do it | | Compute and verify totals on report forms, requisitions, or bills, using adding machine or calculator. Calculators and spreadsheets verify totals exactly and quickly. | 75% AI can do it | | Electronically sort and compile text and numerical data, retrieving, updating, and merging documents as required. Scripts and tools merge and sort text and data reliably. | 75% AI can do it | [See what AI can take on across an operations team](https://www.aigentcy.com/ai-for/operations/) ## How typists compare All occupations (923) Office and administrative support (51) **Typists score 66**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 57 for office and administrative support. ## Pay and outlook in the US Median pay $49,280 a year, May 2025 People employed 35,010 in the US, May 2025 Projected change in jobs \-34.4% from 2024 to 2034 ## Skills to build - Run mail merge and label templates in Microsoft Word - Verify totals on requisitions and bills in Microsoft Excel - Manage document versions and access in Microsoft SharePoint - Assemble and check PDF packets in Adobe Acrobat - Load printers and finish physical document runs - Sort and file paper source documents before typing ## Safer roles nearby 5 related occupations with lower scores. - [File clerks59 out of 100](https://www.aigentcy.com/ai-exposure/file-clerks/) - [Medical transcriptionists63 out of 100](https://www.aigentcy.com/ai-exposure/medical-transcriptionists/) - [Office clerks60 out of 100](https://www.aigentcy.com/ai-exposure/office-clerks/) - [Court reporters60 out of 100](https://www.aigentcy.com/ai-exposure/court-reporters/) - [Office machine operators33 out of 100](https://www.aigentcy.com/ai-exposure/office-machine-operators/) ## Questions about typists and AI Will stenographers be replaced by AI? Mostly. About 6 in 10 of a typist's working hours go to tasks AI can already do, mostly typing documents from drafts and voice recordings and checking spelling, grammar and format. Printing, collating and handling paper stay with people because they need physical machines and hands. Will AI take over stenographers? AI can already do 58% of the task time in stenographers and speeds up another 26%. People still do 16% of it. The US has 35,010 typist jobs, with a projected change of -34.4% from 2024 to 2034. Which typist tasks is AI taking over? Typing correspondence and reports from drafts, dictation or previous versions has an exposure score of 88, the highest in this job. Speech recognition turns voice recordings into text, and word processors fix spelling and grammar automatically. Find and replace and paragraph reformatting, scored 80 and 75, are built into standard software. Which typist tasks stay with people? Loading paper, toner and cartridges scores 5 for exposure, and printing and copying score 10. Both need a person to handle physical machines and paper. Collating pages, scored 20, is hands-on work too, since someone has to physically arrange each sheet. How can typists stay valuable? Take on the setup and checking steps that software leaves to people. Run mail merge and track changes in Microsoft Word, verify figures in Microsoft Excel, and keep document versions accurate in Microsoft SharePoint. Those steps decide whether an AI draft is ready to send. ## Related jobs - [Data entry clerks66 out of 100](https://www.aigentcy.com/ai-exposure/data-entry-clerks/) - [Proofreaders76 out of 100](https://www.aigentcy.com/ai-exposure/proofreaders/) - [Bookkeepers67 out of 100](https://www.aigentcy.com/ai-exposure/bookkeepers/) - [Receptionists62 out of 100](https://www.aigentcy.com/ai-exposure/receptionists/) ## Next steps for typists - ### Check your job Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your tasks AI can do. [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/) ### Check which roles in your team AI can take on We map your team's tasks, show what AI can do today and build the automations that pay back first. [Book an AI audit](https://www.aigentcy.com/audit/) ## Related topics - [**Jobs AI can't replace**Cement masons score lowest, at 8.](https://www.aigentcy.com/ai-exposure/jobs-ai-cant-replace/) - [**Jobs most at risk from AI**Proofreaders score highest, at 76.](https://www.aigentcy.com/ai-exposure/jobs-most-exposed-to-ai/) - [**High-paying jobs with low AI exposure**Radiologists earn a median $420,860 and score 46.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/) - [**Entry-level jobs with low AI exposure**Cement masons need little prior training and score 8.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/) - [**Jobs AI speeds up the most**For natural sciences managers, AI speeds up 96% of task time.](https://www.aigentcy.com/ai-exposure/jobs-ai-speeds-up/) - [**AI and jobs in Malta**15 iGaming roles graded task by task.](https://www.aigentcy.com/ai-exposure/malta/) - [**Skills that keep work human**The skills to build in the jobs AI changes least.](https://www.aigentcy.com/ai-exposure/skills/) - [**Jobs A to Z**Every job we publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/) - [**AI exposure by industry**Average scores for 22 occupation groups.](https://www.aigentcy.com/ai-exposure/industries/) - [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/) - [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/) - [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/) Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.