AI Resilience Report forDerrick Operators, Oil and Gas

If you picture a drilling rig today, parts of the derrick operator's job are starting to look very different. The biggest change is robotic pipe handling. On land rigs in Canada and the Permian Basin, NOV's ATOM RTX robotic arms have been integrated into Precision Drilling's AlphaARMS and H&P's FlexRobotics systems, with the AlphaARMS deployment enabling 95% of rig floor activities to be automated and eliminating over 70,000 manual touchpoints.

One of the robotic arms now performs pipe-handling tasks typically performed by a derrickhand from its location on the monkey board — exactly the high-up, dangerous spot that gives the job its name.

AI is also augmenting the "thinking" parts of the role. World Oil reports that upstream operators are accelerating adoption of AI-enabled software, with predictive maintenance tools powered by analytics and AI increasingly used to identify failure risks before they disrupt operations, and software platforms that reduce manual processes across drilling activities. That overlaps directly with monitoring mud pumps, watching for vibration, and tracking drilling-fluid behavior.

Offshore, Aker BP and Armada are deploying a modular offshore data center ^[1] to run AI models right at the rig for early equipment-issue detection. McKinsey similarly highlights that AI is reshaping core oil and gas operating models ^[2] in 2026.

So today's pattern is augmentation for the analytical tasks (mud chemistry, pump monitoring) and partial automation for the physical, dangerous tasks (pipe handling at height). The supervisory and training duties — your highest-value human skills — remain firmly with people.

Adoption is moving, but unevenly. On the "fast" side, drilling contractors have a strong safety motivation: there is a continuous drive to remove people from the red zone of the drill floor, moving humans to other roles farther from harm's way. There's also a workforce push — the 2026 Global Energy Talent Index ^[1] found that professionals aged 45 and older now make up 48% of the traditional energy workforce while the share of workers aged 25 to 34 has fallen to 19%, and about 45% of professionals now use AI in their work, a sharp increase from 2024.

With U.S. oil and gas extraction employment at its lowest level since 2022 ^[3], companies see automation as a way to do more with fewer people.

On the "slow" side, rigs are expensive to retrofit, and the BLS occupational data ^[4] shows the industry still employs many specialized hands-on workers whose tasks (bolting crown blocks, judging mud behavior, training crews) are hard to fully replicate. GETI reported that AI uptake in oil and gas still lags other industries, and Deloitte's 2026 Oil and Gas Outlook ^[5] frames digital transformation as a multi-year journey. The honest takeaway: if you're entering this career, the routine, risky parts of derrick work will keep shrinking — but workers who learn the automation systems, interpret AI-generated mud and pump data, and supervise mixed human–robot crews will be exactly the people the industry is scrambling to hire.