Mostly Resilient

Last Update: 8/30/2026

AI Resilience Score for Comp & Info Research Sci:

55.7%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

High

Our confidence in this score:
Medium

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 five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. 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 eight sources had data, but exposure signals were split: AI Resilience Model and Anthropic saw high AI encroachment, while Will Robots Take My Job disagreed sharply, pulling confidence to medium. Strong pay and mobility (Wage Bill and Adaptive Capacity both high) pushed the score up, landing the role at "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.

Read full analysis

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. For instance, the piece on AI research scientist roles highlights essential skills and responsibilities, emphasizing the need for adaptability in a rapidly evolving field. Additionally, the article about AI transforming computer science careers reveals how AI tools can enhance problem-solving in complex areas like healthcare, showcasing opportunities rather than threats. Overall, students should embrace AI resilience, understanding that it can augment their research capabilities rather than replace their roles.

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.

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.

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