EXPOSED
The driller's hands-on work — running the rig floor, tripping pipe, managing crew, reacting to a kick or stuck string at 3am — is deeply physical and happens in a filthy, dangerous, unpredictable environment that no robot handles today. But the screen-facing half of the job (monitoring weight-on-bit, ROP, mud pressure, optimizing drilling parameters, logging tour reports) is exactly what automated drilling systems and remote operations centers already do, and pipe-handling robotics on new-build rigs has cut floor headcount hard. The threat here is capital automation plus commodity-price cycles, not a chatbot.
Nearly all of this fall was the 2020 shock. It has been climbing back since.
Median pay $54,980 → $67,890 -1.2% in real terms
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. The marked year is 2020.
BLS projection, 2024–2034
+0.2% 13,300 → 13,400 on the projections basis
Growing, and only partly exposed
The BLS expects +0.2% more of these jobs by 2034, and at 49/100 the work is only partly exposed — some tasks are automatable, the core of the job is not. Nothing here is in tension.
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.
~1,200 openings a year on average, including replacing people who leave.
DrillerLocatorFloorhandMotor ManDrill HandDerrickhandOil DrillerTool PusherCore DrillerSpud DrillerWell DrillerBlast DrillerCable DrillerSonic DrillerDrill OperatorRelief DrillerRotary DrillerOil Rig DrillerDaylight DrillerOil Well DrillerClean Out DrillerShot Hole DrillerCable Tool DrillerEquipment Operator
Holding it up: embodiment . Weakest point: trust premium .
Mixed — a routine tier and a judgment tier Automated driller systems (NOV Wildcat, Precision AC rigs) already hold weight-on-bit, control ROP and slide-drill directional intervals better than a hand on the brake, and tour reports and mud logs feed straight to town — but tripping 10,000 ft of pipe, slipping and cutting drilling line, changing bit nozzles, and stabbing casing in a mud-slick derrick still needs bodies on the floor, which is why this lands mid-band and not at 6.
Hands-on in uncontrolled environments You work a moving rig floor with 500-ton hookloads overhead, hydrogen sulfide risk, mud at 120°F, in West Texas summer or Bakken winter, on a location that changes every few weeks — the only reason this isn't 20 is that the driller himself increasingly runs joystick and chair rather than manual brake and tongs.
Certification preferred, not legally required There is no driller's licence: you need a well-control certificate (IWCF or IADC WellSharp), H2S and rig-pass tickets, and those are employer- and operator-mandated rather than state-issued, so the operator's engineer and the company man carry the legal exposure on the well while your credential is renewable coursework anyone in the crew can get.
Meaningful discretion Recognizing a kick from a flow-check discrepancy and shutting in before it becomes a blowout, or deciding whether to jar, back off, or keep working a stuck string, is real high-consequence discretion — but the mud program, casing points, and hydraulics come from a drilling plan you execute, and anything expensive gets escalated to the toolpusher and company man before you commit.
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 (11/20 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 (5/20) is whether the law requires a licensed human to sign. Trust premium (4/20) 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 21 of this occupation's 49 points (43%).
Embodiment (17/20) 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.
Ship Engineers SAFE
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 63/100, still EXPOSED.
Genuine two-tier job: if ROP optimization, autodriller parameter setting, and tour reporting are fully absorbed by remote operations centers, what remains — diagnosing anomalous downhole behavior with contradictory sensor data, managing a crew through a nonstandard trip, jarring a stuck string — is the judgment tier and scores higher per remaining hour. This raises the score without raising headcount.
BSEE's Well Control Rule (30 CFR 250 subpart G) already requires designated, certified individuals with well-control authority; an extension explicitly requiring a WellSharp-certified human driller physically on the rig floor with unilateral shut-in authority — and personal citation exposure — before any automated drilling control system may operate would harden the seat. Watch BSEE rulemaking on 'automated well control' and any Texas RRC / Louisiana equivalents for onshore, plus IADC's push to formalize an 'automation supervisor' competency.
Task-mix shift plus post-incident rule changes: if operator/contractor insurers (Lloyd's energy syndicates, OEE policies) condition coverage on a named human authorized to override the automated drilling package during kick, stuck-pipe, or lost-circulation events — the way some deepwater programs already name a well-site leader — the remaining job becomes exception ownership rather than parameter watching.
Already near ceiling at 17; only route up is if pipe-handling robotics prove unreliable on the legacy onshore fleet (most US land rigs are not new-builds) and workover/plug-and-abandonment work — old wells, nonstandard wellheads, no automation retrofit — becomes a larger share of the rig count.
The limit. No plausible trust_premium route: the buyer is an E&P company purchasing footage per day, and no operator pays extra for a human on the brake handle. Also note the binding constraint here is rig count and capital cycles, not capability — liability gains can raise the score per job while total jobs fall.
| Houston-Pasadena-The Woodlands, TX | 2,100 | $79,450 +17% |
| Oklahoma City, OK | 1,040 | $55,160 -19% |
| Midland, TX | 490 | $78,260 +15% |
| Dallas-Fort Worth-Arlington, TX | 470 | $81,360 +20% |
| Lafayette, LA | 400 | $49,190 -28% |
| Odessa, TX | 230 | $59,560 -12% |
| Tulsa, OK | 220 | $56,160 -17% |
| Bakersfield-Delano, CA | 190 | $75,660 +11% |
| Anchorage, AK | 40 | $85,470 +26% |
| Dallas-Fort Worth-Arlington, TX | 470 | $81,360 +20% |
| Tyler, TX | 80 | $79,640 +17% |
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 49. 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.