# Will procurement clerks be replaced by AI? Updated October 2026 Procurement clerks score 65 of 100 for AI exposure. AI can already do 55% of their task time. Another 37% gets faster with AI, and 8% still needs a person. - **55%** AI can do it - **37%** AI helps - **8%** Needs a person High exposure Higher than 96% of the 923 occupations we scored. ## Task by task We graded 19 tasks, listed here from most to least exposed. AI can do 10 of them today, speeds up 7 and leaves 2 to people. | Task | AI exposure | | --- | --- | | Prepare purchase orders and send copies to suppliers and to departments originating requests. Routine PO generation from requisitions is highly templated. | 80% AI can do it | | Compare suppliers' bills with bids and purchase orders to verify accuracy. Matching bills against bids and POs is classic automation. | 80% AI can do it | | Calculate costs of orders, and charge or forward invoices to appropriate accounts. Cost math and ledger coding follow fixed rules. | 75% AI can do it | | Prepare, maintain, and review purchasing files, reports and price lists. Report generation and file upkeep are routine digital work. | 70% AI can do it | | Review requisition orders to verify accuracy, terminology, and specifications. Checking requisitions against rules and specs suits AI well. | 70% AI can do it | [See what AI can take on across a procurement team](https://www.aigentcy.com/ai-for/procurement/) ## How procurement clerks compare All occupations (923) Office and administrative support (51) **Procurement clerks score 65**, 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 $50,580 a year, May 2025 People employed 55,810 in the US, May 2025 Projected change in jobs \-8.1% from 2024 to 2034 ## Skills to build - Inspect arriving shipments against purchase orders and specifications - Run supplier calls to expedite late and short deliveries - Maintain purchase orders and cost coding in SAP software - Audit supplier bill matches against bids in Microsoft Excel - Supervise and coach staff on purchasing procedures - Keep purchasing files and price lists current in Microsoft Access ## Safer roles nearby 5 related occupations with lower scores. - [Buyers51 out of 100](https://www.aigentcy.com/ai-exposure/buyers/) - [Shipping clerks47 out of 100](https://www.aigentcy.com/ai-exposure/shipping-clerks/) - [Production clerks63 out of 100](https://www.aigentcy.com/ai-exposure/production-clerks/) - [Stockers30 out of 100](https://www.aigentcy.com/ai-exposure/stockers/) - [Agricultural buyers48 out of 100](https://www.aigentcy.com/ai-exposure/agricultural-buyers/) ## Questions about procurement clerks and AI Will AI replace procurement clerks? Largely. About 6 in 10 working hours go to tasks AI can already do, mostly preparing purchase orders and matching supplier bills against bids and POs. Calls with suppliers, inspecting delivered goods, and training staff stay with people. Which procurement clerk tasks is AI taking over? Preparing purchase orders and sending copies to suppliers scores 80 on exposure, because requisitions feed a highly templated format. Matching supplier bills against bids and POs also scores 80, since it is a fixed comparison. Cost calculation and ledger coding score 75 because the rules are fixed. Which procurement clerk tasks stay human? Training and supervising staff scores 12 on exposure, because coaching depends on human presence and trust. Checking arriving shipments scores 15, since inspecting goods requires someone on site. Monitoring contractor performance scores 30 and needs accountable people to recommend contract changes. How can procurement clerks stay valuable? Run supplier expediting calls and negotiate late or short deliveries yourself, since that work stays human. Inspect arriving goods against specifications in person and record the result in SAP. Learn to check purchase orders and bill matches in Microsoft Excel, so you can audit what automation produces. ## Related jobs - [Order clerks68 out of 100](https://www.aigentcy.com/ai-exposure/order-clerks/) - [Customer service representatives74 out of 100](https://www.aigentcy.com/ai-exposure/customer-service-representatives/) - [Billing clerks59 out of 100](https://www.aigentcy.com/ai-exposure/billing-clerks/) - [Rental clerks57 out of 100](https://www.aigentcy.com/ai-exposure/rental-clerks/) ## Next steps for procurement 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.