Will AI Replace Utility Locators? Underground Pipes Do Not Care About Algorithms
Utility locators face just 15% automation risk. AI can read GIS maps faster, but someone still has to walk the site, interpret ambiguous signals, and paint the ground before the excavator moves.
15% automation risk. In a world obsessed with digital transformation, utility locators are a reminder that some of the most important work happens where no amount of cloud computing helps — underground, in the dirt, with a handheld detector and a can of spray paint.
If you locate underground utilities for a living, here is what the data actually says about AI and your career.
The Ground Truth About AI Exposure
Utility locators face 30% overall AI exposure in 2024, with a modest automation risk of 15%. [Fact] By 2028, exposure is projected to reach 50% and risk to climb to 31%. [Estimate] These are medium-range numbers that reflect a job being augmented, not replaced.
Operating electromagnetic and ground-penetrating radar equipment — the core field task — has just 25% automation. [Fact] The equipment itself is becoming smarter, with AI-enhanced signal processing that can better distinguish between different types of underground infrastructure. But someone still needs to physically walk the site, position the equipment, deal with terrain variations, and interpret signals that are often ambiguous. A utility locator working in a dense urban area with decades of overlapping infrastructure knows that what the machine shows and what is actually underground are not always the same thing.
Interpreting utility maps and GIS data to verify line locations sits at 52% automation. [Fact] This is where AI contributes most. AI-powered GIS systems can overlay multiple data sources, cross-reference historical records, identify probable utility paths, and flag potential conflicts before the locator arrives on site. What used to require hours of manual map review can now be partially automated. But the word "partially" matters — utility records are famously incomplete and inaccurate, especially for older installations.
Documenting and reporting located utility positions has an automation rate of 35%. [Fact] Digital mapping tools, GPS-integrated documentation systems, and automated reporting platforms are making the paperwork faster and more accurate.
A Growing Field With Real-World Demand
The BLS projects +5% growth through 2034, with approximately 45,300 workers earning a median salary of ,720. [Fact] The growth driver is simple: infrastructure. Every new construction project, every road repair, every fiber optic installation, every water main replacement requires someone to mark what is already underground before digging begins.
The consequences of getting it wrong are severe and immediate — ruptured gas lines, severed fiber optic cables, flooded construction sites, even fatalities. The one-call system (811 in the United States) exists precisely because this work is too critical to skip or approximate. [Fact]
Why Full Automation Is Not Coming
Several structural factors protect this occupation. First, the physical environment changes constantly — weather, soil conditions, surface obstacles, and site access are different every day. Second, underground infrastructure records are notoriously unreliable. Utilities installed decades ago may have no records at all, or records that have been digitized with errors. Third, the liability framework requires human judgment and human accountability. When a locate is marked, a professional is certifying those marks with their expertise and their license.
AI makes utility locators more productive and more accurate. It does not make them unnecessary. [Claim]
Career Advice
If you work as a utility locator, invest in learning the AI-enhanced tools entering your field — digital GIS platforms, AI-assisted signal interpretation, and automated documentation systems. The locators who combine field experience with technology fluency will be the most valuable. The work itself is not going away. The ,720 median salary should rise as infrastructure investment increases and the demand for skilled locators outpaces supply.
See detailed utility locator data and trends
AI-assisted analysis based on Anthropic labor market research and ONET occupational data.*
Analysis based on the Anthropic Economic Index, U.S. Bureau of Labor Statistics, and O*NET occupational data. Learn about our methodology