# Will diamond cutters be replaced by AI? Updated October 2026 Diamond cutters score 29 out of 100 for AI exposure. AI helps with 61% of their task time, and they stay in charge. The other 39% needs a person. - **61%** AI helps - **39%** Needs a person Low exposure Lower than 64% of the 923 jobs we scored. ## Task by task We graded 14 tasks, most exposed first. AI can't fully do any of them yet. It helps with 7 and leaves 7 to people. | Task | AI exposure | | --- | --- | | Estimate wholesale and retail value of gems, following pricing guides, market fluctuations, and other relevant economic factors. Valuation uses price data, but market judgment still needed. | 55% AI helps | | Assign polish, symmetry, and clarity grades to stones, according to established grading systems. Grading follows fixed standards, but trained eye still judges visually. | 50% AI helps | | Examine diamonds or gems to ascertain the shape, cut, and width of cut stones, or to select the cuts that will result in the biggest, best quality stones. Cut planning software exists, but examining stones stays manual. | 42% AI helps | | Identify and document stones' clarity characteristics, using plot diagrams. Plotting inclusions is documentation AI can speed up from images. | 40% AI helps | | Advise customers and others on the best use of gems to create attractive jewelry items. AI drafts pairing ideas, but client advice stays with expert. | 35% AI helps | ## How diamond cutters compare All jobs (923) Production (107) The dark line is **diamond cutters, at 29**. Each dot is a score, and darker dots mean more jobs share it. The short marks are the averages, 37 for all jobs and 22 for production. ## Pay and outlook in the US Median pay $52,540 a year, May 2025 Projected change in jobs \-3.2% from 2024 to 2034 ## Skills to build - Facet rough stones manually on dop and lap - Model planned cuts in GemCad before cutting rough - Grade clarity by eye with 10x loupe and plot diagrams - Read treatment spectra in spectrophotometer analysis software - Hold the GIA Graduate Gemologist credential ## Safer roles nearby 5 related jobs with lower scores. - [Jewelers24 out of 100](https://www.aigentcy.com/ai-exposure/jewelers/) - [Hand polishers17 out of 100](https://www.aigentcy.com/ai-exposure/hand-polishers/) - [Engravers19 out of 100](https://www.aigentcy.com/ai-exposure/engravers/) - [Tool grinders17 out of 100](https://www.aigentcy.com/ai-exposure/tool-grinders/) - [Stone cutters16 out of 100](https://www.aigentcy.com/ai-exposure/stone-cutters/) ## Questions about diamond cutters and AI Will AI replace diamond cutters? Partly. About 3 in 10 working hours go to tasks AI can already do, mostly stone valuation and grading. Cutting, polishing, and mounting stones manually stay with cutters because they need a person at the wheel and the dop. Which tasks is AI taking over for diamond cutters? Valuation and grading lead the list. Estimating wholesale and retail value scores 55 on exposure, because pricing guides and market data are already digital. Assigning polish, symmetry, and clarity grades scores 50, since fixed grading standards can be applied to images. Both still need a trained eye for final calls. Which tasks stay with diamond cutters? Physical work on the stone stays human. Holding stones against spinning wheels scores 4 on exposure, and mounting stones in dops scores 5, because both need manual skill at the bench. Dismantling and cleaning polishing machinery scores 3, since it takes physical mechanical work. How can diamond cutters stay valuable as AI spreads? Deepen the manual craft that data tools copy least well. Facet stones manually on dop and lap, then model planned cuts in GemCad so the rough yields the biggest stone. Pair spectrophotometer readings with your loupe grading, and check valuations against gem identification databases so your pricing judgment stays current. ## Related jobs - [Grinding machine operators21 out of 100](https://www.aigentcy.com/ai-exposure/grinding-machine-operators/) - [Cutting machine operators22 out of 100](https://www.aigentcy.com/ai-exposure/cutting-machine-operators/) - [Hand cutters16 out of 100](https://www.aigentcy.com/ai-exposure/hand-cutters/) - [Toolmakers29 out of 100](https://www.aigentcy.com/ai-exposure/toolmakers/) ## Next steps for diamond cutters - ### Check your job Your job title is a rough guide. Your tasks decide your score. Paste your job description or CV to see which 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/) - ### Estimate team savings The score is per person. Add headcount and salary to see the hours AI can take on in a team of diamond cutters, and what they cost. [Estimate what AI saves a team of diamond cutters](https://www.aigentcy.com/tools/team-ai-audit/?role=diamond-cutters) [Work out the return on automation](https://www.aigentcy.com/tools/ai-savings-calculator/) ### 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**Roustabouts score lowest, at 6.](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**Pediatric surgeons earn a median $559,030 and score 29.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/) - [**Entry-level jobs with low AI exposure**Roustabouts need little prior training and score 6.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/) - [**Jobs AI speeds up the most**AI helps with 98% of the task time for health informatics specialists.](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 score, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/) - [**AI exposure by industry**Average scores for 22 job 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/) Sources and licences 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.