# Will medical coding be replaced by AI? Updated October 2026 Medical coders score 69 of 100 for AI exposure. AI can already do 59% of their task time. AI speeds up the other 41%. - **59%** AI can do it - **41%** AI helps High exposure Higher than 99% of the 923 occupations we scored. ## Task by task We graded 17 tasks, listed here from most to least exposed. AI can do 10 of them today, speeds up 7 and leaves 0 to people. | Task | AI exposure | | --- | --- | | Enter data, such as demographic characteristics, history and extent of disease, diagnostic procedures, or treatment into computer. Data entry from records is highly automatable today. | 85% AI can do it | | Transcribe medical reports. Speech AI transcribes dictation well; light human editing still needed. | 82% AI can do it | | Post medical insurance billings. Billing posting is rules-based and widely automated already. | 80% AI can do it | | Process and prepare business or government forms. Form preparation from existing data is routine digital work. | 75% AI can do it | | Identify, compile, abstract, and code patient data, using standard classification systems. LLMs draft ICD and CPT codes; coder reviews output. | 72% AI can do it | ## How medical coders compare All occupations (923) Healthcare practitioners and technical (89) **Medical coders score 69**, 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 34 for healthcare practitioners and technical. ## Pay and outlook in the US Median pay $51,140 a year, May 2025 People employed 194,720 in the US, May 2025 Projected change in jobs +7.8% from 2024 to 2034 ## Skills to build - Hold the AAPC CPC or AHIMA CCS credential - Audit AI-drafted ICD-10-CM and CPT codes against the chart - Write physician queries for conflicting or missing diagnoses - Work release-of-information requests in Epic Systems or MEDITECH - Apply HIPAA privacy and release rules to record requests - Build coding audit samples in Microsoft Excel ## Safer roles nearby 5 related occupations with lower scores. - [Medical transcriptionists63 out of 100](https://www.aigentcy.com/ai-exposure/medical-transcriptionists/) - [Health information technologists60 out of 100](https://www.aigentcy.com/ai-exposure/health-information-technologists/) - [Medical secretaries65 out of 100](https://www.aigentcy.com/ai-exposure/medical-secretaries/) - [Medical assistants32 out of 100](https://www.aigentcy.com/ai-exposure/medical-assistants/) - [File clerks59 out of 100](https://www.aigentcy.com/ai-exposure/file-clerks/) ## Questions about medical coders and AI Will AI replace medical coders? Partly. About 6 in 10 working hours go to tasks AI can already do, mostly data entry from records and transcription of medical reports. Coding judgment, query replies to physicians, and record release decisions stay with a person who answers for them. Will AI take over medical coding? AI can already do 59% of the task time in medical coding and speeds up another 41%. The US has 194,720 medical coder jobs, with a projected change of +7.8% from 2024 to 2034. Which medical coder tasks is AI taking over? Data entry, transcription, and insurance billing posting are the most exposed. Data entry from records tops the list because the facts already sit in the chart. Speech AI transcribes dictated reports well, leaving light editing. Billing posting is rules-based and largely automated already. Which medical coder tasks stay with people? Protecting record security, resolving unclear diagnoses, and releasing information rank among the least exposed tasks, scoring 30 to 40. Access monitoring tools assist with confidentiality checks, and AI drafts physician queries, but a coder still discusses conflicting documentation with the doctor. Release decisions need an accountable person's sign-off under regulation. How can medical coders stay valuable? Hold the AAPC CPC or AHIMA CCS credential. Check AI-drafted ICD and CPT codes against the chart in Epic Systems or MEDITECH, then write the physician queries the chart needs. Keep a query log in Microsoft Excel so repeat documentation gaps get fixed at the source. ## Related jobs - [Patient representatives49 out of 100](https://www.aigentcy.com/ai-exposure/patient-representatives/) - [Pharmacy technicians44 out of 100](https://www.aigentcy.com/ai-exposure/pharmacy-technicians/) - [Physician assistants30 out of 100](https://www.aigentcy.com/ai-exposure/physician-assistants/) - [Management consultants55 out of 100](https://www.aigentcy.com/ai-exposure/management-consultants/) ## Next steps for medical coders - ### 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.