# Will AI replace mortgage brokers? Updated October 2026 Loan clerks score 64 of 100 for AI exposure. The largest share of their task time, 59%, is work AI speeds up while they stay in charge. AI can take over 38% outright, and 3% stays with people. - **38%** AI can do it - **59%** AI helps - **3%** Needs a person High exposure Higher than 95% of the 923 occupations we scored. ## Task by task We graded 18 tasks, listed here from most to least exposed. AI can do 6 of them today, speeds up 11 and leaves 1 to people. | Task | AI exposure | | --- | --- | | Record applications for loan and credit, loan information, and disbursements of funds, using computers. Structured data entry from applications into systems. | 80% AI can do it | | Prepare and type loan applications, closing documents, legal documents, letters, forms, government notices, and checks, using computers. Generating loan forms, letters and notices from templates is routine. | 80% AI can do it | | Calculate, review, and correct errors on interest, principal, payment, and closing costs, using computers or calculators. Interest and payment math is routine; AI spots errors fast. | 78% AI can do it | | File and maintain loan records. Digital record filing and retrieval is highly automatable. | 70% AI can do it | | Assemble and compile documents for loan closings, such as title abstracts, insurance forms, loan forms, and tax receipts. Document assembly is mostly sorting and packaging files. | 65% AI can do it | [See what AI can take on across a finance team](https://www.aigentcy.com/ai-for/finance/) ## How loan clerks compare All occupations (923) Office and administrative support (51) **Loan clerks score 64**, 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 $50,020 a year, May 2025 People employed 164,790 in the US, May 2025 Projected change in jobs \-2.4% from 2024 to 2034 ## Skills to build - Run mortgage closings with notaries and signing agents present - Inspect collateral on site and document its condition - Run payment exception reviews in Automated financial software - Manage loan files and approvals in Microsoft Dynamics - Verify applicant references by phone and written confirmation ## Safer roles nearby 5 related occupations with lower scores. - [Loan officers63 out of 100](https://www.aigentcy.com/ai-exposure/loan-officers/) - [Credit clerks61 out of 100](https://www.aigentcy.com/ai-exposure/credit-clerks/) - [Credit analysts62 out of 100](https://www.aigentcy.com/ai-exposure/credit-analysts/) - [New accounts clerks53 out of 100](https://www.aigentcy.com/ai-exposure/new-accounts-clerks/) - [Financial advisors60 out of 100](https://www.aigentcy.com/ai-exposure/financial-advisors/) ## Questions about loan clerks and AI Will mortgage brokers be replaced by AI? Partly. About 6 in 10 working hours go to tasks AI can already do, mostly recording applications into systems and preparing loan forms and letters from templates. Closings, collateral inspection and live applicant interviews stay with people because they need a person in the room. Which tasks will AI take from loan clerks? Data entry from applications into loan systems is the clearest case, with an exposure score of 80, because the fields repeat on every file. Interest, principal and payment calculations, exposure 78, follow fixed formulas that software checks faster. Filing and retrieving loan records, exposure 70, is highly automatable because digital files sort without a person. Which loan clerk tasks stay with people? Scheduling and conducting mortgage closings stays human, with an exposure score of 20, because signing needs a person in the room, a notary and legal accountability. Collateral valuation, exposure 30, needs physical inspection. Live applicant interviews, exposure 35, depend on rapport built face to face. How can loan clerks stay valuable? Move toward the tasks that stay with people, such as running mortgage closings with notaries, inspecting collateral on site and leading applicant interviews. Learn the exception queue in Microsoft Dynamics and Automated financial software so you check the output the software produces and resolve the flagged payments. ## Related jobs - [Bill collectors65 out of 100](https://www.aigentcy.com/ai-exposure/bill-collectors/) - [Bookkeepers67 out of 100](https://www.aigentcy.com/ai-exposure/bookkeepers/) - [Insurance claims clerks72 out of 100](https://www.aigentcy.com/ai-exposure/insurance-claims-clerks/) - [Stockbrokers64 out of 100](https://www.aigentcy.com/ai-exposure/stockbrokers/) ## Next steps for loan clerks - ### 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.