Gem and Diamond Workers

Examine gems during processing to ensure accuracy of angles and positions of cuts or bores, using magnifying glasses, loupes, or shadowgraphs.

AI: Fully automatable - Computer vision and automated inspection systems can measure angles and positions from magnified images or shadowgraphs reliably and flag deviations during processing.

Assign polish, symmetry, and clarity grades to stones, according to established grading systems.

AI: Fully automatable - Machine-learning models combined with high-resolution imaging are capable of assigning polish, symmetry, and clarity grades consistently according to established grading standards.

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.

AI: Fully automatable - Automated planning systems that scan rough stones and compute optimal shapes/cuts to maximize size and quality are already in commercial use and can perform this task end-to-end.

Estimate wholesale and retail value of gems, following pricing guides, market fluctuations, and other relevant economic factors.

AI: Fully automatable - AI can ingest pricing guides, historical sales, and market data to produce robust wholesale and retail value estimates and adjust for market fluctuations automatically.

Sort rough diamonds into categories based on shape, size, color, and quality.

AI: Fully automatable - Computer vision and specialized industry systems can now reliably sort rough diamonds by measurable shape, size, color and many quality parameters without human intervention.

Examine gem surfaces and internal structures, using polariscopes, refractometers, microscopes, and other optical instruments, to differentiate between stones, to identify rare specimens, or to detect flaws, defects, or peculiarities affecting gem values.

AI: Fully automatable - Instrument integration with AI analysis (spectroscopy, microscopy, polariscopes) can differentiate stones and detect flaws or rare features with high reliability in lab settings.

Identify and document stones' clarity characteristics, using plot diagrams.

AI: Fully automatable - Image-analysis algorithms can detect and map clarity characteristics from microscopy data and generate standardized plot diagrams automatically.

Lap girdles on rough diamonds, using diamond girdling lathes.

AI: Fully automatable - Girdling/bruting is a repetitive, machine-driven operation and is widely mechanized and automatable in commercial diamond processing.

Measure sizes of stones' bore holes and cuts to ensure adherence to specifications, using precision measuring instruments.

AI: Fully automatable - Precision metrology and machine-vision measurement systems can automatically measure bore holes and cuts to specification with high accuracy.

Regulate the speed of revolutions and reciprocating actions of drilling mechanisms.

AI: Fully automatable - Speed and reciprocation of drilling mechanisms are standard control problems that are fully automatable with modern motor control and adaptive systems.

Regrind drill points, and advance drill cutting points according to specifications for channel depths and shapes.

AI: Fully automatable - Regrinding and dressing drill points to specified geometries is routinely handled by CNC tool grinders and automated processes, so this can be fully automated.

Immerse stones in prescribed chemical solutions to determine specific gravities and key properties of gemstones or substitutes.

AI: Partial - Laboratory automation can control immersion and measurement processes, but the small-scale handling, chemical safety, and variability of gemstones make full automation less common and often require human oversight in 2025.

Hold stones, gems, dies, or styluses against rotating plates, wheels, saws, or slitters to cut, shape, slit, grind, or polish them.

AI: Partial - Robotic/CNC cutting and polishing systems exist, but the delicate, variable manual holding and fine tactile control for many gem tasks remain only partially automated by 2025.

Secure gems or diamonds in holders, chucks, dops, lapidary sticks, or blocks for cutting, polishing, grinding, drilling, or shaping.

AI: Partial - Automated fixturing and pick-and-place robots can secure stones in some production contexts, but delicate bespoke mounting and orientation still frequently require human dexterity.

Advise customers and others on the best use of gems to create attractive jewelry items.

AI: Partial - AI can generate design recommendations and styling advice based on data and visual trends, but nuanced personal taste, client interaction, and hands-on choices still benefit from human expertise.

Locate and mark drilling or cutting positions on stones or dies, using diamond chips and power hand tools.

AI: Partial - AI vision can locate optimal drill/cut positions and guide marking tools or lasers, but hand-tool marking and on-the-fly judgment in many shops remains only partially automated.

Place stones in clamps on polishing machines and polish facets of stones, using felt-covered or canvas-covered polishing wheels and polishing compounds such as tripoli and rouge.

AI: Partial - Polishing machines and automated systems exist for facets, yet precise placement, clamping and final polishing quality control often still rely on skilled human operators.

Select shaping wheels for tasks, and mix and apply abrasives, bort, or polishing compounds.

AI: Partial - Tool selection and automated dispensing/mixing systems can handle many routine choices, but nuanced selection of wheels and compound mixes for bespoke jobs still often needs human expertise.

Split gems along pre-marked lines to remove imperfections, using blades and jewelers' hammers.

AI: Partial - Laser cutting and mechanical splitting technologies can remove imperfections in some cases, but traditional cleaving with blades and hammers and the risk management it requires remain partially manual.

Replace, true, and sharpen blades, drills, and plates.

AI: Partial - Sharpening and truing can be done by automated grinders and tool-changers in industrial settings but many small-scale/jewelry-specific adjustments still require human judgment and fixturing.

Secure stones in metal mountings, using solder.

AI: Partial - Automated and robotic stone‑setting systems exist for repetitive tasks, but delicate soldering around varied gemstones typically still needs human skill to avoid heat/damage.

Dismantle lapping, boring, cutting, polishing, and shaping equipment and machinery to clean and lubricate it.

AI: Partial - Routine cleaning and lubrication can be partially automated, but dismantling and reassembly of varied small machining setups remains largely manual and context dependent.