Evolving

Last Update: 3/13/2026

Your role’s AI Resilience Score is

64.6%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium

What does this resilience result mean?

These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.

AI Resilience Report for

Emergency Management Directors

They plan and coordinate responses to emergencies, like natural disasters, to keep people safe and ensure everyone knows what to do during a crisis.

This role is evolving

The career of an Emergency Management Director is labeled as "Evolving" because AI is beginning to assist with data-heavy tasks like scanning weather feeds and assessing disaster damage. While AI tools can speed up routine work, human skills in planning, judgment, and community coordination are still essential.

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Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
More

This role is evolving

The career of an Emergency Management Director is labeled as "Evolving" because AI is beginning to assist with data-heavy tasks like scanning weather feeds and assessing disaster damage. While AI tools can speed up routine work, human skills in planning, judgment, and community coordination are still essential.

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
Evolving iconEvolving

48.0%

48.0%

Microsoft's Working with AI

AI Applicability

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Evolving iconEvolving

34.9%

34.9%

Will Robots Take My Job

Automation Resilience

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Stable iconStable

87.9%

87.9%

Althoff & Reichardt

Economic Growth

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Stable iconStable

84.5%

84.5%

Low 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):

3.0%

Growth Percentile:

50.4%

Annual Openings:

1,000

Annual Openings Pct:

11.4%

Analysis of Current AI Resilience

Emergency Mgr Directors

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

AI tools are starting to help emergency managers, but mostly in data-heavy tasks. For example, AI systems now scan large data sources (like weather feeds and social media) to spot problems quickly [1]. Projects such as HealthMap use AI to scan news and posts for disease outbreaks [1], and AI-based notification systems can even draft storm alerts from NOAA weather data [1].

In disaster response, drones with AI “see” damage faster: reviews show mapping and damage assessment are top uses for drones [2], and FEMA’s geospatial team uses AI to flag likely-damaged areas in satellite images [3]. FEMA is also building an AI chatbot to help staff navigate FEMA grant rules – it can pull up and summarize the right policies for grant applications [3] [3]. These tools speed up routine work (like finding resources or making status reports), but writing new plans and making judgment calls still needs people.

Researchers note that even with AI help, human experience is key for planning and checking results [4] [5]. In short, computers can crunch numbers and scan images, but human leaders do the planning, teaching, and community coordination.

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AI Adoption

AI in the real world

Emergency management agencies are cautiously exploring AI. On one hand, AI could save time and help overworked teams (Deloitte notes many agencies have flat budgets and fewer workers even as disasters grow [1]). Tools like chatbots or image analysis are commercially available, which could reduce labor.

On the other hand, adopting AI requires money, new skills and trust. Experts point out that setting up AI systems needs investment in data infrastructure and training [1]. Staff may worry about AI replacing jobs [5] or making mistakes, so leaders say it’s important to build trust and oversight.

Ethical and legal safeguards (to prevent bias or errors) are still under development [4] [5]. In practice, these factors mean adoption will be gradual. Many routine tasks may get automated or assisted, but human judgment, creativity, and empathy remain crucial – AI is likely to be a helpful assistant, not a replacement, for emergency management directors [1] [5].

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More Career Info

Career: Emergency Management Directors

Employment & Wage Data

Median Wage

$86,130

Jobs (2024)

13,200

Growth (2024-34)

+3.0%

Annual Openings

1,000

Education

Bachelor's degree

Experience

5 years or more

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

80% ResilienceCore Task

Collaborate with other officials to prepare and analyze damage assessments following disasters or emergencies.

2

75% ResilienceCore Task

Keep informed of federal, state, and local regulations affecting emergency plans and ensure that plans adhere to these regulations.

3

75% ResilienceCore Task

Apply for federal funding for emergency-management-related needs and administer and report on the progress of such grants.

4

70% ResilienceCore Task

Develop and maintain liaisons with municipalities, county departments, and similar entities to facilitate plan development, response effort coordination, and exchanges of personnel and equipment.

5

70% ResilienceCore Task

Consult with officials of local and area governments, schools, hospitals, and other institutions to determine their needs and capabilities in the event of a natural disaster or other emergency.

6

65% ResilienceCore Task

Coordinate disaster response or crisis management activities, such as ordering evacuations, opening public shelters, and implementing special needs plans and programs.

7

65% ResilienceCore Task

Develop and perform tests and evaluations of emergency management plans in accordance with state and federal regulations.

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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