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Automation Risk Analysis

Will “Liaison Planner” be Automated?

Historical Context: Oxford Study (2013)

Ranked #117 of 702. Estimated risk: 3.5%

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AI Exposure Risk

61%

“Liaison Planner” will maybe be replaced by AI.

Based on the cognitive demands, communication requirements, and logical reasoning intrinsic to this occupation according to O*NET data, we project a 61% probability of disruption by generative AI and Large Language Models.

Automation & Robot Risk

23%

“Liaison Planner” will almost certainly not be replaced by robots.

Evaluating the physical dexterity, repetitive motion tasks, and manual labor associated with this role, our analysis indicates a 23% likelihood of substitution by advanced robotics systems.

Personal & Financial Insights

Every occupation has a unique profile. For Operations Research Analysts, the Bureau of Labor Statistics and O*NET classify the day-to-day work broadly as: Formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that assists management with decisionmaking, policy formulation, or other managerial functions. May collect and analyze data and develop decision support software, services, or products. May develop and supply optimal time, cost, or logistics networks for program evaluation, review, or implementation.

Avg. Annual Salary $99,120
Avg. Hourly Wage $47.66
Available Jobs (US) 107,760
Job Title & Hierarchy Code (SOC) Operations Research Analysts #15-2031
Wage vs. National Median
ℹ️

Data is based on the reference occupation: “Operations Research Analysts”

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Core Skills & Abilities

  • Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data.

  • Prepare management reports defining and evaluating problems and recommending solutions.

  • Analyze information obtained from management to conceptualize and define operational problems.

  • Observe the current system in operation, and gather and analyze information about each of the component problems, using a variety of sources.

  • Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.

  • Review research literature.

  • Break systems into their components, assign numerical values to each component, and examine the mathematical relationships between them.

  • Develop business methods and procedures, including accounting systems, file systems, office systems, logistics systems, and production schedules.

  • Educate staff in the use of mathematical models.

  • Collaborate with senior managers and decision makers to identify and solve a variety of problems and to clarify management objectives.

  • Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary.

  • Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.

  • Develop and apply time and cost networks to plan, control, and review large projects.

  • Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes.

  • Define data requirements, and gather and validate information, applying judgment and statistical tests.

  • Specify manipulative or computational methods to be applied to models.

  • Present the results of mathematical modeling and data analysis to management or other end users.

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