4D-360-AI

The aging utility workforce: keeping institutional knowledge from walking out the door

A training workshop — the next generation of technical utility staff.
Photo: Asurnipal · CC BY-SA 4.0, via Wikimedia Commons

The utility industry faces a cruel paradox: just as it takes on the biggest transformation in its history — renewables, grid modernization, distributed resources — it is losing the experienced workforce that has kept the lights on for decades. Roughly 25–30% of the utility workforce is eligible to retire within five years, and in critical roles it’s higher.

The real loss isn’t headcount — it’s knowledge that was never written down. The lineworker who diagnoses a fault by sound, the engineer who knows the quirks of one specific substation, the operator who’s navigated a hundred storm restorations. When a 35-year veteran leaves, the organization loses not just their hands but their memory of why the network is the way it is.

A lot of that memory is really spatial knowledge that the GIS never captured: which pole was replaced after the last storm, where the records drifted from reality, what’s actually on the ground versus what the map says. That gap is invisible — until the person who “always knew” is gone.

This is where an always-current digital twin changes the equation. Instead of living in one veteran’s head, field reality becomes data:

It doesn’t replace experience — but it lowers the cost of losing it. A junior engineer with a survey-grade twin can see the network as it really is, measure it, and act, without two decades of accumulated context. The knowledge that used to walk out the door now stays in the system of record.

For utilities and telcos, capturing the network as accurate, current data is the most durable form of knowledge transfer there is. See how it fits across the industries we serve, or talk to us about putting your network on a drive cadence.