Why the press still waits for a person
Forging is hot, heavy, and unforgiving. Before a single part runs, someone picks the dies, bolts them in, lines them up, and sets the ram stroke, the stock temperature and the feed. Get the alignment wrong and you scrap steel, not spreadsheets. That setup work is physical, and it changes with every job order.
The second half of the job is judgment at the machine. A setter pulls a forging off the line, checks it with calipers and gauges, looks at the flash and the grain flow, and decides whether to adjust the stroke, add lubricant to the die, or stop the run. When stock jams or a die starts to wear, the fix is hands on metal. Software can flag a trend. It cannot reseat a die.
That is the short answer to the question will AI replace forging machine setters: the paperwork around the press is moving to software, while the setup, the adjustment and the safety calls stay with people. Our scoring method treats that split as the whole story.
What AI does, what it helps with, and what it leaves alone
Runs on its own: 0% of task time. This is the clerical edge of the job — logging production counts, pulling the specs off a work order, filling in run sheets and flagging a part number against a schedule. None of it touches the press.
Works alongside a person: 9% of task time. Machine vision can compare a finished forging against a reference image and catch surface cracks or short fills faster than a tired eye at shift end. Sensor data on load, temperature and cycle time can warn that a die is wearing before parts go out of tolerance. In both cases the operator still decides what to do about it.
Stays with people: 91% of task time. Setting and aligning dies, adjusting the machine mid-run, clearing a jammed billet, handling hot stock and checking guards and interlocks all sit here. Our coverage score — the answer to can AI do it — is 10 out of 100, and that is why.
What has actually been tested
Not much, and that matters. Our quality-parity grade here is D, which means no one has published a head-to-head test of an automated system against an experienced forging setter on this job’s core work. We do not give a parity number without one. You can read how that grade is assigned on the quality-parity method page.
What would settle it is specific: a published trial that puts a vision-and-robotics cell against a qualified setter across several part families, measuring die changeover time, scrap rate, first-part approval and downtime after an unplanned jam. Until a study like that exists, claims that the job is nearly automated rest on task lists, not on results.
When this could change
Most likely after 2046 (8 in 10 of our scenarios). The replacement-year method page explains what that window is built from.
Two things could pull it closer. First, the physical side of this job is largely fixed automation territory already: high-volume forging lines use dedicated presses, feeders and transfer systems, so each new plant built that way needs fewer tenders per press. Second, cheap vision inspection keeps improving, and it takes the easiest human check off the line.
Two things hold it back. Dies, presses and transfer gear are expensive capital, and shops replace them on decade-long cycles rather than software cycles. And the work is varied: short runs, mixed alloys and frequent changeovers are exactly where fixed automation pays worst. For a wider view of how machines handle physical work, see our guide to humanoid robots and physical jobs.
The bigger pressure on this job is not a robot setter. It is the size of the trade. The Bureau of Labor Statistics counts about 8,930 of these workers in the United States, with median pay of $49,030 and projected employment falling 17.2% between 2025 and 2035 (BLS, 2025). Offshoring, plant consolidation and dedicated lines drive most of that. Jobs on the same path are collected in our list of jobs expected to shrink.
Good to know: fewer openings and easier tasks usually hit new hires first, so the entry rung into a forging shop is the part worth watching.
How to stay needed
Lean into the work that sits in the human group. Die setup and alignment is the clearest one: the person who can change over a press quickly and get a good first part is the person a shop keeps. Mid-run adjustment is the second — reading a part and knowing whether the answer is temperature, lubrication or stroke. Safety and maintenance judgment is the third, because it is the part a supervisor will not sign over to a sensor.
Two skills pay beyond that. One is measurement and print reading: GD&T, gauges and documented inspection, which turns you into the person who signs off quality rather than the person who feeds the press. The other is controls literacy — PLC screens, CNC-driven trim and forming cells, and the sensor dashboards that come with new equipment. Both travel well across the manufacturing sector.
If you are weighing a move, the nearest work by task and code is rolling machine setters, operators, and tenders, extruding and drawing machine setters, and heat treating equipment setters. All three sit in the same metal and plastic workers family, so the shop-floor skills carry over.
Want to see how those options stack up against this one? Put any two of them side by side with our job comparison tool, or look up a specific trade in the full job rankings.