Occupation · 2026 assessment

Mashinist elektrovoza tushilnogo vagona

Mashinist elektrovoza tushilnogo vagona is an occupation responsible for safe movement, vehicle operation or technical readiness of rolling stock. The profile assesses automation of individual tasks rather than disappearance of the whole occupation.

Moderate risk level Search jobs ↗
How risk may change

A forecast estimate, not a guaranteed scenario.

47%2026
51%2028
56%2030
64%2035

Which tasks are exposed

Risk applies to individual tasks—not to a person or an entire occupation.

TaskRisk
Operating along a predictable route72%
Monitoring vehicle state through telemetry48%
Decisions in emergency or unpredictable conditions27%
Route building and time estimation60%
Preparing trip documentation66%
Monitoring telemetry and vehicle condition48%
Operating on a standard route69%
Responding to emergency or unusual conditions44%

Task map

AI replaces ↔ AI augments

Each task is positioned by AI capability and the degree of human involvement still required.

  1. 1Operating along a predictable routeAI 72% · human 43%
  2. 2Monitoring vehicle state through telemetryAI 48% · human 60%
  3. 3Decisions in emergency or unpredictable conditionsAI 27% · human 59%
  4. 4Route building and time estimationAI 60% · human 51%
  5. 5Preparing trip documentationAI 66% · human 52%
  6. 6Monitoring telemetry and vehicle conditionAI 48% · human 53%
  7. 7Operating on a standard routeAI 69% · human 54%
  8. 8Responding to emergency or unusual conditionsAI 44% · human 65%

Why technology can change this work

  • autopilot gradually takes control in constrained, well-mapped environments
  • routing and dispatch are already algorithmically optimized
  • repeatable physical work can shift to robots in prepared environments
  • driver-assistance systems take more control functions
  • autonomous transport is advancing in predictable environments

What protects the occupation

  • operation in bad weather, road works and unpredictable human behavior
  • responsibility for passenger and cargo safety
  • response to unusual road conditions
  • work in mixed human-machine-infrastructure environments

United States · before tax

Average pay and outlook

Estimated nominal monthly pay. The scenario reflects sector, demand and task resilience; it is not a guarantee of income.

2026$5 750per month
2035$7 750scenario estimate
2026: $5 75020262027: $5 95020272028: $6 15020282029: $6 35020292030: $6 55020302031: $6 80020312032: $7 05020322033: $7 25020332034: $7 50020342035: $7 7502035
Find jobs ↗The partner link may contain referral parameters. Data benchmark: U.S. Bureau of Labor Statistics ↗

Job search and transitions

Find work with a lower risk index

Compare adjacent paths and open a current search for the selected occupation.

Autonomous Vehicle Remote Assistance Specialist

Skill fit 85% · risk 29%

Search jobs ↗

Autonomous Ship Operations Specialist

Skill fit 81% · risk 14%

Search jobs ↗

Skills you already have

  • spatial attention
  • emergency response
  • traffic-situation assessment
  • safe operation
  • route and regulation knowledge
  • fault response

Skills to build

  • remote autonomous-vehicle supervision
  • telemetry work
  • autonomous-system supervision
  • vehicle telemetry
  • remote vehicle assistance
  • robotic-vehicle diagnostics
CurrentMashinist elektrovoza tushilnogo vagona · 47%
→
Keepspatial attention · emergency response · traffic-situation assessment
→
Addremote autonomous-vehicle supervision · telemetry work · autonomous-system supervision

Sources and update

Updated: 2026-09-26 · Assessment confidence: Medium

International Labour Organization · 2025Generative AI and Jobs: A Refined Global Index of Occupational Exposure

Nearly 30,000 tasks; a global assessment of GenAI exposure across detailed occupational groups.

World Economic Forum · 2025The Future of Jobs Report 2025

A survey of more than 1,000 employers representing over 14 million workers across 55 economies.

O*NET Resource Center · 2026O*NET Database

Occupational, task, skill and work-context structure.