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Occupation deep dive / O*NET-SOC 15-1221.00 / Last verified June 2026

Will AI replace computer and information research scientists?

ILO 2025 places computer and information research scientists in the moderate exposure gradient. Routine implementation, code generation, and literature synthesis are highly exposed to current generative AI; novel algorithm design, theoretical work, and research direction under uncertainty are augmentation-prone but not displaceable at task level.

AI impact on computer science research jobs in 2025-2026

The direct answer: AI is changing computer science research work at task level, not eliminating the occupation outright. ILO 2025 places computer and information research scientists in the moderate generative-AI exposure gradient, 0 of the top 5 O*NET tasks are classified displaceable, and BLS projects employment to grow 19.7% through 2034.

ILO 2025 exposure

ModerateFour-band gradient, refined index

Displaceable top tasks

0 of 5Brookings 2024 task rubric

BLS 2024-2034

+19.7%Much faster than average, projected employment change

Will computer and information research scientists jobs grow or shrink by 2034?

The BLS Employment Projections 2024-2034 put computer and information research scientists at +19.7% projected employment change (about +7.9k jobs), classified much faster than average. BLS also projects about 3,200 openings each year on average over the decade, mostly from workers retiring or moving to other occupations, even where employment is flat or declining. This is the official US decade projection from the National Employment Matrix, distinct from the ILO 2025 AI-exposure gradient above. Source: BLS Employment Projections 2024-2034.

personalise this exposure

The ILO national-average exposure for Computer and Information Research Scientists is 45%. Adjust the four inputs below to see how your specific role characteristics shift the number up or down.

Years in this kind of role

5 years

Your current AI-tool usage

% of work that is routine / repeatable

50%

% of work requiring judgement / relationships

30%

MODERATE EXPOSURE

41%

personalised AI exposure score ยท -4% vs ILO baseline (45%)

adjustment breakdown

Years experience adjustment0%
AI tooling (moderate)-4%
Routine work share0%
Judgement / relational work share0%

Heavy AI tooling adoption reduces personalised exposure (you're already augmenting). Routine fractions above 50% raise exposure. Years of experience modestly insulate (institutional knowledge, judgement). Judgement / relational fractions reduce exposure most. The model adjusts the ILO baseline by these factors; treat as a personalised reading, not a precise forecast.

Panel 1 / Exposure

Moderate exposure

LOWMODERATEHIGHVERY HIGHILO 2025 EXPOSURE GRADIENT

ILO 2025 places computer and information research scientists in the moderate exposure gradient. Routine implementation, code generation, and literature synthesis are highly exposed to current generative AI; novel algorithm design, theoretical work, and research direction under uncertainty are augmentation-prone but not displaceable at task level.

Source: ILO 2025 refined Generative AI Occupational Exposure Index. ISCO-08 mapping 2511. View methodology.

Panel 2 / Tasks

Top tasks for this role

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

    Frontier research and novel technology creation are the least substitutable tasks and grow as AI absorbs more routine implementation.

  • Conduct logical analyses of business, scientific, engineering, and other technical problems, formulating mathematical models of problems for solution by computers.

    AI assists with modelling and code generation; problem formulation and model choice remain human judgement.

  • Analyze problems to develop solutions involving computer hardware and software.

    AI-augmented analysis accelerates exploration; synthesising a novel solution to an open problem remains human-led.

  • Design computers and the software that runs them.

    Generative AI produces draft designs and implementation code; architecture and correctness judgement stay with the scientist.

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

    Cross-team research coordination is augmentation-prone per Brookings 2024 and grows in importance as AI handles more discrete execution.

Source: O*NET 30.2 task list (CC-BY 4.0); Brookings 2024 task-level rubric. View methodology.

Panel 3 / What is growing

Growth and skills outlook

BLS 2024-2034

Much faster than average

+19.7% projected change (+7.9k jobs).

WEF 2025 / Top growing skills relevant to this role

  • AI and big data (Technology)
  • Analytical thinking (Cognitive)
  • Technological literacy (Technology)

Brookings 2024 finds research and innovation tasks among the least exposed to substitution; routine implementation and code generation are exposed, while novel algorithm design, theoretical work, and cross-team research direction are augmentation-prone.

Source: BLS Employment Projections 2024-2034; WEF Future of Jobs Report 2025. View methodology.

What this occupation does

Computer and information research scientists design innovative uses for new and existing computing technology, inventing and improving algorithms, programming languages, and computing methods. The role spans fundamental and applied research, mathematical modelling, system and software design, and translating theory into working technology, with much of the current research frontier focused on artificial intelligence and machine learning.

The exposure score in context

The ILO 2025 refined Generative AI Occupational Exposure Index places computer and information research scientists in the moderate exposure gradient. ILO 2025 places computer and information research scientists in the moderate exposure gradient. Routine implementation, code generation, and literature synthesis are highly exposed to current generative AI; novel algorithm design, theoretical work, and research direction under uncertainty are augmentation-prone but not displaceable at task level.

The mapping uses ISCO-08 code 2511 (BLS-published SOC-to-ISCO crosswalk). The full methodology, including the dominant-match rule for one-to-many crosswalks, is at /methodology/#algorithm.

The top five tasks, classified

The top five O*NET 30.2 tasks for this occupation, each tagged Displaceable / Changing / Growing per the Brookings 2024 task-level rubric. The tag definitions are at /glossary/#displaceable-task, /glossary/#changing-task, and /glossary/#growing-task.

  1. Growing: Apply theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses. Frontier research and novel technology creation are the least substitutable tasks and grow as AI absorbs more routine implementation.
  2. Changing: Conduct logical analyses of business, scientific, engineering, and other technical problems, formulating mathematical models of problems for solution by computers. AI assists with modelling and code generation; problem formulation and model choice remain human judgement.
  3. Changing: Analyze problems to develop solutions involving computer hardware and software. AI-augmented analysis accelerates exploration; synthesising a novel solution to an open problem remains human-led.
  4. Changing: Design computers and the software that runs them. Generative AI produces draft designs and implementation code; architecture and correctness judgement stay with the scientist.
  5. Growing: Meet with managers, vendors, and others to solicit cooperation and resolve problems. Cross-team research coordination is augmentation-prone per Brookings 2024 and grows in importance as AI handles more discrete execution.

What is growing in this role

The BLS Employment Projections 2024-2034 outlook for computer and information research scientists is much faster than average (+19.7% projected change, +7.9k jobs). Source: BLS Employment Projections 2024-2034.

Per the WEF Future of Jobs Report 2025, the top three growing skills relevant to this role are: AI and big data, Analytical thinking, Technological literacy. The skills are mapped to the occupation's O*NET skills profile.

Brookings 2024 finds research and innovation tasks among the least exposed to substitution; routine implementation and code generation are exposed, while novel algorithm design, theoretical work, and cross-team research direction are augmentation-prone.

Computer and Information Research Scientists in the WEF Future of Jobs Report 2025

The WEF Future of Jobs Report 2025 ranks AI and machine learning specialists among its fastest-growing roles to 2030; computer and information research scientists are the BLS occupation most directly aligned with that frontier-AI research demand, which BLS itself attributes to AI as the main driver of the role's projected growth. Source: World Economic Forum, Future of Jobs Report 2025 (January 2025). The WEF lists are occupation-family level and global, ranked by change to 2030; they are distinct from the BLS 2024-2034 US projection above. The full named growing and declining lists are on what is growing.

Similar occupations

O*NET 30.2 lists the following related roles. Each links to its own deep dive where one is published.

Industry context

This role sits primarily in the Technology industry. The industry-level rollup includes the cross-occupation exposure profile and the BLS-published industry-level outlook.

How this assessment was made

The full methodology is at /methodology/: ILO 2025 refined index for the gradient, Brookings 2024 rubric for the task tags, BLS 2024-2034 for the growth outlook, WEF 2025 for the skills demand. The pre-empted critiques are at /how-to-argue-with-this/.

AI impact on computer science research jobs: frequently asked questions

Will AI replace computer and information research scientists in 2025-2026?

Not outright. The ILO 2025 refined Generative AI Occupational Exposure Index places computer and information research scientists in the moderate exposure gradient, and none of the top 5 O*NET 30.2 tasks are classified fully displaceable: the exposed tasks are changing rather than disappearing. AI is changing computer science research work at task level in 2025-2026 rather than eliminating the occupation.

Are computer science research jobs growing or declining?

The US Bureau of Labor Statistics projects employment for computer and information research scientists to grow 19.7% (much faster than average), a projected change of +7.9k jobs between 2024 and 2034. Even so, BLS projects about 3,200 openings for computer and information research scientists each year on average over the decade, mostly to replace workers who retire or move to other occupations. Source: BLS Employment Projections 2024-2034, National Employment Matrix.

What skills are growing for computer and information research scientists?

Per the WEF Future of Jobs Report 2025, the top growing skills relevant to this role are AI and big data, Analytical thinking, Technological literacy.

From the cluster