Evolving

Last Update: 3/13/2026

Your role’s AI Resilience Score is

44.2%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium-high

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

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.

This role is evolving

This career is labeled as "Evolving" because AI is increasingly being used to handle routine tasks like writing code, which lets researchers focus on bigger challenges. While AI tools can make work faster, they can't fully replace the creativity, problem-solving, and communication skills that humans bring to the table.

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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

This career is labeled as "Evolving" because AI is increasingly being used to handle routine tasks like writing code, which lets researchers focus on bigger challenges. While AI tools can make work faster, they can't fully replace the creativity, problem-solving, and communication skills that humans bring to the table.

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
Changing fast iconChanging fast

19.9%

19.9%

Microsoft's Working with AI

AI Applicability

Learn about this score
Evolving iconEvolving

44.0%

44.0%

Anthropic's Observed Exposure

AI Resilience

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Changing fast iconChanging fast

12.5%

12.5%

Will Robots Take My Job

Automation Resilience

Learn about this score
Stable iconStable

71.7%

71.7%

Althoff & Reichardt

Economic Growth

Learn about this score
Stable iconStable

72.6%

72.6%

Medium 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):

19.7%

Growth Percentile:

98.3%

Annual Openings:

3,200

Annual Openings Pct:

30.9%

Analysis of Current AI Resilience

Comp & Info Research Sci

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Right now, many routine parts of a computer science research job are being helped by AI, but key decisions still need people. For example, modern coding tools can autocomplete or even write whole functions. In fact, over half of programmers were using AI helpers by 2024 [1].

Studies find these tools can speed up coding but risk students not learning everything deeply [2]. In other words, AI is a powerful helper, not a full replacement. One report notes AI “supports many tasks, particularly those involving research, writing, and communication” but cannot fully perform an entire occupation [3].

In plain words, computers can crunch data or draft code so scientists can focus on bigger problems. As one expert says, “the future of software development isn’t about typing faster – it’s about thinking bigger while AI handles the details” [1]. Tasks that depend on human judgment and social skills – like judging if a project plan is workable, talking with team members, or deciding how to train new staff – are still mostly done by people today.

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AI Adoption

AI in the real world

AI tools are widely available, which speeds adoption in computing fields. Big companies already use code-generation AI, so researchers are likely to use them too [1]. Also, these scientists earn high pay, so using AI to boost productivity has clear financial benefits.

However, adoption may be cautious. Research work often needs creativity and deep understanding, so experts warn against relying too much on AI. One study found that when programmers let AI do the work, they finished tasks faster but learned less about the code [2].

In addition, trust and safety issues matter: leaders still want humans to check AI results in critical projects. Overall, most analysts expect AI to augment research scientists (help them work faster) rather than fully replace them [3] [2]. The human skills of problem-solving, communication, and teaching teams remain very important – AI can help with some parts, but the science job still needs a human touch.

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More Career Info

Career: Computer and Information Research Scientists

Employment & Wage Data

Median Wage

$140,910

Jobs (2024)

40,300

Growth (2024-34)

+19.7%

Annual Openings

3,200

Education

Master's degree

Experience

None

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

85% ResilienceCore Task

Participate in staffing decisions and direct training of subordinates.

2

80% ResilienceCore Task

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

3

75% ResilienceSupplemental

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

4

70% ResilienceCore Task

Analyze problems to develop solutions involving computer hardware and software.

5

60% ResilienceCore Task

Evaluate project plans and proposals to assess feasibility issues.

6

50% ResilienceSupplemental

Maintain network hardware and software, direct network security measures, and monitor networks to ensure availability to system users.

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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