SAFE
The core of this job — setting up a rig on uneven ground, tripping pipe, reading cuttings and bit behavior to judge what formation you're in, casing and grouting a water well, keeping a geotechnical bore straight — is physical, site-specific work that language models cannot touch and current robotics cannot do unsupervised. AI will eat the paperwork around it: well logs, boring logs, permit forms, driller's reports, and preliminary lithology interpretation from sensor data. Most states license water-well drillers and require signed well completion reports, which gives a real if narrow regulatory shield; drillers on construction and geotech crews often work under someone else's license.
Headcount grew steadily across the period.
This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.
So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing.
BLS projection, 2024–2034
+2.9% 18,300 → 18,800 on the projections basis
Hard to automate, and growing
The work resists current AI and the BLS projects +2.9% more of these jobs by 2034. Note that safe does not mean well paid — several of the fastest-growing resistant occupations are among the lowest paid on the register.
Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.
~1,700 openings a year on average, including replacing people who leave.
JumperStoperDrillerWagonerDrill HandTest BorerWell DiggerCore DrillerDrill RunnerSoil SamplerTest DrillerWash DrillerWell DrillerBlast DrillerChurn DrillerRaise DrillerWagon DrillerWater BlasterAuger OperatorDebris MonitorDrill OperatorDiamond DrillerMachine DrillerDrill Technician
Holding it up: embodiment . Weakest point: trust premium .
Tasks largely resist digitisation Tripping 20-foot rods by hand signals, backing a rig onto a slope and leveling with outriggers, feeling the rotary head load change when the bit hits refusal, and pulling a stuck string are decisions made through the drill's feedback in your hands — an 18 rather than 20 only because the logging, footage tallies, and lithology description that follow the shift are already going into software.
Hands-on in uncontrolled environments You are outdoors on unimproved ground in whatever weather, handling casing, mud pumps, and augers in an environment that changes with every borehole — a 19 because there is no version of this work that happens away from the rig, with the fraction of a point reflecting hours spent in the truck cab moving between sites.
Certification preferred, not legally required Water-well drilling licences and signed well completion reports in most states are a genuine statutory tie to a named person, but geotech and construction bores are frequently drilled by crew members working under a company's or a PE's licence, so the shield covers a portion of the trade rather than every driller — hence 10, not 15.
Meaningful discretion You decide when to case off a caving zone, when to switch from air to mud, and when to stop and call the engineer because the standard penetration numbers don't match the boring plan — real calls with cost and contamination consequences, but made inside a permitted well design or a geotechnical boring program written by someone else, which caps it at 12.
The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.
Your task mix speaks to task resistance (18/20 here) — how much of the day's work current AI already does. That is the dimension the boxes above are about.
It cannot move the other three. Liability shield (10/20) is whether the law requires a licensed human to sign. Trust premium (8/20) is whether buyers specifically pay for a person. Judgment and accountability (12/20) is whether the role exists to own consequential calls. Those are facts about the occupation's standing, not about which tasks are in your week — a paralegal who does only trial exhibits still holds no licence. Together they are 30 of this occupation's 67 points (45%).
Embodiment (19/20) is also a property of the work rather than the worker, but we don't tag individual tasks as physical or not, so the picker can't tell you anything about it. That's a limit of this tool, not a claim.
Did we get the list right? Tell us what's missing — the tasks are written from the outside, and you're reading this from the inside.
The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 79/100, still SAFE.
Groundwater protection rules tying grout/seal verification and abandonment sign-off to a named licensed individual rather than the contracting firm, as EPA UIC Class V program guidance and state well-abandonment statutes already do in patches
Utility-strike liability regimes (state 811/one-call enforcement, and damage-prevention rules following high-profile bore strikes) that name the driller/operator as the party accountable for the decision to advance the hole after a locate discrepancy
State licensing boards extending water-well driller licensure to geotechnical and environmental (monitoring well) boring, with the licensed driller personally signing the completion/abandonment log — several states (e.g. Minnesota, Ohio) already require licensed drillers for monitoring wells; broader adoption plus a rule that AI-generated lithology logs must be countersigned by the license holder would deepen the shield
Task-mix shift as automated rod handlers and autodrillers (already sold on larger sonic and rotary rigs) take the routine tripping and feed-rate work, leaving the driller as the person who calls formation changes, artesian/gas encounters, borehole instability and stop-work decisions — the remaining job is the judgment tier
Work shifting further toward constrained-access sites — limited-access rigs inside basements, on slopes, over water, in contaminated soil requiring HAZWOPER — where remote or autonomous setup is furthest from viable
The limit. Trust premium has no realistic route: buyers are general contractors, engineering firms and municipalities purchasing a hole to spec at the lowest responsive bid. Nobody pays extra for a human driller as such, and no certification scheme is likely to create that willingness. task_resistance is already near ceiling and cannot rise meaningfully.
| Phoenix-Mesa-Chandler, AZ | 650 | $58,750 -2% |
| New York-Newark-Jersey City, NY-NJ | 530 | $74,120 +23% |
| Houston-Pasadena-The Woodlands, TX | 440 | $57,970 -4% |
| Dallas-Fort Worth-Arlington, TX | 420 | $60,670 +1% |
| Atlanta-Sandy Springs-Roswell, GA | 390 | $51,630 -14% |
| Miami-Fort Lauderdale-West Palm Beach, FL | 350 | $51,360 -15% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 240 | $64,360 +7% |
| Riverside-San Bernardino-Ontario, CA | 240 | $62,790 +4% |
| Fairbanks-College, AK | 60 | $94,600 +57% |
| Seattle-Tacoma-Bellevue, WA | 90 | $89,300 +48% |
| Chicago-Naperville-Elgin, IL-IN | 220 | $81,960 +36% |
We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.
That is worth saying out loud next to a score of 67. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.
Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.