Changing fast

Last Update: 3/13/2026

Your role’s AI Resilience Score is

19.9%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
High

What does this resilience result mean?

These roles are undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.

AI Resilience Report for

Dispatchers, Except Police, Fire, and Ambulance

They coordinate the movement of vehicles or goods by communicating with drivers and organizing schedules to ensure everything runs smoothly and on time.

This role is changing fast

The career of a dispatcher is labeled as "Changing fast" because many routine tasks like scheduling and record-keeping are being automated with the help of advanced software and AI tools. These changes aim to improve efficiency by suggesting routes and automatically assigning jobs.

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This role is changing fast

The career of a dispatcher is labeled as "Changing fast" because many routine tasks like scheduling and record-keeping are being automated with the help of advanced software and AI tools. These changes aim to improve efficiency by suggesting routes and automatically assigning jobs.

Read full analysis

Contributing Sources

We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.

AI Resilience

AI Resilience Model v1.0

AI Task Resilience

Learn about this score
Changing fast iconChanging fast

16.0%

16.0%

Microsoft's Working with AI

AI Applicability

Learn about this score
Changing fast iconChanging fast

26.1%

26.1%

Anthropic's Observed Exposure

AI Resilience

Learn about this score
Changing fast iconChanging fast

28.0%

28.0%

Will Robots Take My Job

Automation Resilience

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Changing fast iconChanging fast

25.5%

25.5%

Althoff & Reichardt

Economic Growth

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Changing fast iconChanging fast

4.5%

4.5%

Medium Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

-0.9%

Growth Percentile:

21.8%

Annual Openings:

18,500

Annual Openings Pct:

66.7%

Analysis of Current AI Resilience

Other Dispatchers

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Dispatchers now use a lot of computerized tools, but humans still run the show. In practice, many routine tasks (like scheduling crews, logging work orders, tracking vehicles) are done with software. For example, dispatchers often rely on computer-aided dispatch (CAD) and GPS tracking systems [1] [1].

These tools can automatically record jobs, suggest routes, or send digital job assignments. However, core duties—like answering questions, relaying customer messages, and solving unexpected problems—still need people. O*NET notes dispatchers “confer with customers or supervising personnel to address questions, problems, or requests” and “advise personnel about traffic problems or other hazards” [1] [1].

Such communication and judgment tasks are hard to fully automate. In short, parts of dispatch work (scheduling, record-keeping, routing) use existing software, but most sources agree that AI is used more to augment dispatchers than to replace them outright.

Sources

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AI Adoption

AI in the real world

AI and automation in dispatching face both incentives and obstacles. On one side, businesses want more efficiency: advanced scheduling and routing (powered by AI or optimization software) can cut fuel use and delays. Some dispatch systems already automate routine calls or schedule updates.

On the other side, adopting cutting-edge AI can be expensive and complex, especially when labor is relatively affordable and regulations are strict. Companies must weigh software and training costs against current wages. Also, dispatchers handle urgent, safety-sensitive calls, so trust and reliability are crucial.

Customers and crews often prefer human judgement in emergencies or unique problems. These factors tend to slow the rollout of fully autonomous dispatch. In summary, while dispatch software and basic automation are widespread, full AI adoption will be gradual.

Human skills like communication, problem-solving, and quick adjustments remain valuable [1] [1], helping ensure that dispatchers retain an important role even as new tech arrives.

Sources

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More Career Info

Career: Dispatchers, Except Police, Fire, and Ambulance

Employment & Wage Data

Median Wage

$48,880

Jobs (2024)

218,700

Growth (2024-34)

-0.9%

Annual Openings

18,500

Education

High school diploma or equivalent

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

50% ResilienceCore Task

Confer with customers or supervising personnel to address questions, problems, or requests for service or equipment.

2

50% ResilienceSupplemental

Ensure timely and efficient movement of trains, according to train orders and schedules.

3

45% ResilienceCore Task

Oversee all communications within specifically assigned territories.

4

45% ResilienceCore Task

Advise personnel about traffic problems, such as construction areas, accidents, congestion, weather conditions, or other hazards.

5

40% ResilienceCore Task

Arrange for necessary repairs to restore service and schedules.

6

40% ResilienceCore Task

Determine types or amounts of equipment, vehicles, materials, or personnel required, according to work orders or specifications.

7

40% ResilienceSupplemental

Order supplies or equipment and issue them to personnel.

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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