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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.
Low
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%).
Med
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%).
Low
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.
This result is backed by strong agreement across multiple data sources.
Contributing sources
Dispatchers, Except Police, Fire, and Ambulance are less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
The career of a dispatcher is labeled as "Not Very Resilient" because many tasks, like scheduling and routing, are increasingly being automated by software. While human skills like communication and problem-solving are still important, the efficiency and cost-effectiveness of AI tools are gradually changing the way routine tasks are handled.
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Learn more about how you can thrive in this position
This role is not very resilient
The career of a dispatcher is labeled as "Not Very Resilient" because many tasks, like scheduling and routing, are increasingly being automated by software. While human skills like communication and problem-solving are still important, the efficiency and cost-effectiveness of AI tools are gradually changing the way routine tasks are handled.
Read full analysisAnalysis of Current AI Resilience
Other Dispatchers
Updated Quarterly • Last Update: 2/17/2026

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.

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.

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They coordinate the movement of vehicles or goods by communicating with drivers and organizing schedules to ensure everything runs smoothly and on time.
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
AI-generated estimates of task resilience over the next 3 years
Arrange for necessary repairs to restore service and schedules.
Confer with customers or supervising personnel to address questions, problems, or requests for service or equipment.
Order supplies or equipment and issue them to personnel.
Schedule or dispatch workers, work crews, equipment, or service vehicles to appropriate locations, according to customer requests, specifications, or needs, using radios or telephones.
Advise personnel about traffic problems, such as construction areas, accidents, congestion, weather conditions, or other hazards.
Monitor personnel or equipment locations and utilization to coordinate service and schedules.
Relay work orders, messages, or information to or from work crews, supervisors, or field inspectors, using telephones or two-way radios.
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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