Mostly Resilient

Last Update: 11/4/2026

AI Resilience Score for Comp & Info Research Sci:

54.3%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

High

Our confidence in this score:
Medium-high

Methodology and Scoring Rationale

To score how resilient computer and information research science is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from six AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, OpenAI Signals, and Google ATLAS. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For computer and information research scientists, all nine sources had data, though AI exposure was split: AI Resilience Model, Anthropic, and Google ATLAS saw low human resilience while Will Robots Take My Job saw high and Microsoft and OpenAI Signals landed in the middle. That disagreement holds confidence to medium-high. Strong pay and mobility scores pushed the final label to "Mostly Resilient."

AI Resilience Report forComputer and Information Research Scientists

$140,300 median salary•2,900 annual openings•SOC Code: 15-1221.00

Computer and Information Research Scientists are somewhat more resilient to AI impacts than most occupations, according to our analysis of 8 sources.

Computer and information research scientists are labeled "Mostly Resilient" because AI is reshaping their work without replacing them. Much of the routine or repetitive technical work is being automated, but that actually frees researchers to focus on the harder, more creative challenges like design, strategy, and ethical decision-making, which AI simply cannot handle on its own.

Learn more about how you can thrive in this position

This role is mostly resilient

Computer and information research scientists are labeled "Mostly Resilient" because AI is reshaping their work without replacing them. Much of the routine or repetitive technical work is being automated, but that actually frees researchers to focus on the harder, more creative challenges like design, strategy, and ethical decision-making, which AI simply cannot handle on its own.

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Analysis of current AI resilience

Comp & Info Research Sci

Updated quarterly

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Latest AI news for Comp & Info Research Sci

These articles provide valuable insights for aspiring Computer and Information Research Scientists navigating an AI-driven landscape. "How AI Affects Careers in Computing" highlights emerging roles and emphasizes the importance of adapting skills to meet evolving demands. Meanwhile, "What Is an AI Research Scientist?" outlines essential skills and responsibilities, showcasing the potential for impactful work in AI research. Understanding trends, like enrollment declines noted in "Computer Science Enrollment Now Declining," can motivate students to cultivate resilience and innovation, preparing them for a dynamic career in AI.

More Career Info

Career: Computer and Information Research Scientists

They solve complex computer problems by developing new technology and improving how computers work, helping make our digital world faster and smarter.

Alternate Titles

Computer Scientist · Computer Specialist · Control System Computer Scientist · Research Scientist · Scientific Programmer Analyst

Employment & Wage Data

Median Wage

$140,300

Jobs (2025)

38,600

Growth (2025-35)

+21.8%

Annual Openings

2,900

Education

Master's degree

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

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

1

90% ResilienceCore Task

Participate in multidisciplinary projects in areas such as virtual reality, human-computer interaction, or robotics.

2

88% ResilienceCore Task

Meet with managers, vendors, and others to solicit cooperation and resolve problems.

3

86% ResilienceSupplemental

Participate in staffing decisions and direct training of subordinates.

4

85% ResilienceCore Task

Apply theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses.

5

84% ResilienceSupplemental

Direct daily operations of departments, coordinating project activities with other departments.

6

82% ResilienceCore Task

Develop and interpret organizational goals, policies, and procedures.

7

80% ResilienceCore Task

Consult with users, management, vendors, and technicians to determine computing needs and system requirements.

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.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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