Headline risk
20%
Moderate RiskOperations Analyst
AI displacement pressure score based on US employment data, wages, and demand signals. Built from 3 related occupations weighted by relevance.
Why this score
82% of tasks overlap with current AI
60% human advantage from judgment & presence
86% demand buffer from the local labour market
These factors interact with each other — the final score is not a simple sum of these bars.
Share of tasks AI can handle today
Work that requires human presence or coordination
How strong local hiring demand is for this role
How complete the underlying data is
Workflow profile
How this role's daily work breaks down across different dimensions.
Workflow dimensions (0 = low, 1 = high)
US employment data
Employment overview
Share of job tasks AI can currently perform
Annual median wage
Projected employment change 2024–2034
Education and training typically needed
Key metrics
Job zone
4The occupation usually needs substantial preparation and experience.
Median wage
USD 125,770USD 90,970 to USD 164,860
Openings
2.4K21.8% projected change
Median age
n/aNo age profile published.
What this job involves
Analyze statistical data, such as mortality, accident, sickness, disability, and retirement rates and construct probability tables to forecast risk and liability for payment of future benefits. May ascertain insurance rates required and cash reserves necessary to ensure payment of future benefits.
Entry requirements: Moderate preparation
The occupation usually needs substantial preparation and experience.
Wage context
Median annual
USD 125,770
Mean annual
USD 134,990
10th percentile: USD 75,240
25th percentile: USD 90,970
75th percentile: USD 164,860
90th percentile: USD 206,430
Hourly median: USD 60
Employment: 28,340 workers
Demand outlook
Current employment
33.6K
Projected employment
40.9K
Openings: 2.4K
Projected change: 21.8%
Education: Bachelor's degree
Work experience: None
On-the-job training: Long-term on-the-job training
Median wage: USD 125,770
Employment of actuaries is projected to grow 22 percent from 2024 to 2034, much faster than the average for all occupations.
Workforce profile
Based on a survey of workers currently in this occupation.
Protects from AI displacement
- Can telework 62.8% of workers
- License required 7.6% of workers
Typical background
- No education requirement 6.3% of workers
- High school diploma 27.2% of workers
- Bachelor's degree 52.3% of workers
- Associate's degree 12.7% of workers
- On-the-job training 40.83% of workers
- Prior work experience 71.6% of workers
Day-to-day work
Actuaries use mathematics, statistics, and financial theory to analyze the economic costs of risk and uncertainty.
Most actuaries work for insurance companies. Although most work full time in an office setting, some actuaries who work as consultants travel to meet with clients.
Actuaries typically need a bachelor’s degree to enter the occupation and must pass a series of exams to become certified. They must have a strong background in mathematics, statistics, and business.
Key tasks
- 1. Ascertain premium rates required and cash reserves and liabilities necessary to ensure payment of future benefits. · AI can do 0%
- 2. Collaborate with programmers, underwriters, accounts, claims experts, and senior management to help companies develop plans for new lines of business or improvements to existing business. · AI can do 0%
- 3. Analyze statistical information to estimate mortality, accident, sickness, disability, and retirement rates. · AI can do 0%
- 4. Determine, or help determine, company policy, and explain complex technical matters to company executives, government officials, shareholders, policyholders, or the public. · AI can do 0%
- 5. Design, review, and help administer insurance, annuity and pension plans, determining financial soundness and calculating premiums. · AI can do 0%
- 6. Construct probability tables for events such as fires, natural disasters, and unemployment, based on analysis of statistical data and other pertinent information. · AI can do 0%
Tools commonly used
Work environment
- E-Mail 5.0/5
- Indoors, Environmentally Controlled 5.0/5
- Spend Time Sitting 4.9/5
- Face-to-Face Discussions with Individuals and Within Teams 4.6/5
- Telephone Conversations 4.5/5
- Importance of Being Exact or Accurate 4.4/5
Data sources: O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Component occupations
Actuaries
15-2011 · 40% weight
Operations research analyst
Support bundle: Moderate preparation
Management analysts
13-1111 · 30% weight
Business consultant
Support bundle: Moderate preparation
Financial managers
11-3031 · 30% weight
Administration manager
Support bundle: Moderate preparation
How this score works
The score measures how much this role's tasks overlap with current AI capabilities, adjusted for human-only requirements and local job market demand. This is a structural pressure estimate, not a prediction of job losses. Learn how scores work →