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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Operating Engineers and Other Construction Equipment Operators are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Operating Engineers and Other Construction Equipment Operators are labeled as "Mostly Resilient" because while AI and automation are gradually improving the efficiency and safety of machines, they aren't replacing human operators. These technologies, like auto-steering and remote controls, assist rather than replace, allowing operators to work faster and more safely.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is mostly resilient
Operating Engineers and Other Construction Equipment Operators are labeled as "Mostly Resilient" because while AI and automation are gradually improving the efficiency and safety of machines, they aren't replacing human operators. These technologies, like auto-steering and remote controls, assist rather than replace, allowing operators to work faster and more safely.
Read full analysisAnalysis of Current AI Resilience
Operating Engineers
Updated Quarterly • Last Update: 2/17/2026

Right now, heavy equipment operators still do most tasks by hand, but technology is helping. For example, special “quick coupler” systems let operators snap on buckets or hydraulic tools without leaving the cab [1]. Bulldozers and graders often use GPS and sensors to auto-adjust their blades to the right height and angle, so the machine follows the plan more accurately (this is called grade control).
In some cases, operators can even drive machines by remote control – for example, an operator with a joystick can run a dozer from a safe distance [2]. In very large operations like mines or farms, some trucks and tractors run themselves without a driver [2], but on busy construction sites fully self-driving machines are still rare. Companies also build “assist” features: for instance, Volvo’s Active Control can automatically move an excavator’s boom and bucket in smooth, precise ways while digging [3].
In simple terms, machines are augmented by these systems (they do part of the work, like steering or digging precisely), but humans still handle tricky parts – like following new safety rules, diagnosing breakdowns, or refilling fuel – because robots aren’t great at those yet.

Construction equipment firms are cautious but curious about AI. High-tech systems can improve work – one article notes automated controls can give “huge returns” through better accuracy and safety [2] – so big contractors and manufacturers invest in them. Industry groups are even standardizing technologies (for example, forming an alliance around automatic couplers) because they see clear benefits [1].
However, adopting robots is expensive and slow. Heavy machines already cost a lot, and adding AI gear adds more cost. Since skilled operators earn decent wages, companies often find it cheaper to use a human who can adapt than to buy a robot.
Safety and rules also matter: an expert points out that on a crowded jobsite “there are too many factors to trust…pure robotics” [2], meaning it’s risky to rely completely on AI when people and obstacles are nearby.
Because of this, new tech usually augments – not replaces – workers. Innovations like auto-steering, sensor alerts, or remote controls help operators work faster and safer [2] [3], but humans still oversee the work. In short, AI tools are gradually changing how equipment is used.
Operators who learn these tools will remain valuable, since human judgment and adaptability – for checking safety, making repairs, and solving unpredictable problems – stay very important even as machines get smarter [2] [3].

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They operate heavy machinery to build roads, bridges, and buildings, ensuring everything is done safely and correctly.
Median Wage
$58,710
Jobs (2024)
489,300
Growth (2024-34)
+3.6%
Annual Openings
41,900
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Operate loaders to pull out stumps, rip asphalt or concrete, rough-grade properties, bury refuse, or perform general cleanup.
Check fuel supplies at sites to ensure adequate availability.
Signal operators to guide movement of tractor-drawn machines.
Take actions to avoid potential hazards or obstructions, such as utility lines, other equipment, other workers, or falling objects.
Keep records of material or equipment usage or problems encountered.
Drive tractor-trailer trucks to move equipment from site to site.
Locate underground services, such as pipes or wires, prior to beginning work.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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