Apply theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying…
Apply theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses.
Task automation exposure
Low exposure
Exposure basis
[v4/median] score 25 (raw 25 | A 25 / B 15 / C 25 | modality: other) AI can aid literature review and suggest ideas, but cannot independently produce novel, rigorously validated theoretical innovations at a professional research level. (capable: Large Language Model (e.g., GPT-4))
0 capabilities · 1 occupations
Basis
How exposure was assessed
[v4/median] score 25 (raw 25 | A 25 / B 15 / C 25 | modality: other) AI can aid literature review and suggest ideas, but cannot independently produce novel, rigorously validated theoretical innovations at a professional research level. (capable: Large Language Model (e.g., GPT-4))
How much of this task's output current AI can produce or substantially assist.
Best current model strength on any capability this task requires.
This is an assessment of technical feasibility plus published evidence - not a forecast. Even fully automatable tasks are often not automated, because of cost, verification, liability, regulation or the fact that the task is bundled with other work.
Occupations
Occupations that perform this task (1)
Importance is the O*NET-style weight of this task within each occupation. The same task can be highly exposed but peripheral to one job and core to another.
| Occupation | Industry | Importance | Role | Occupation AI exposure |
|---|---|---|---|---|
| Computer and Information Research Scientists | Cross-industry | 3.9/5 | core | 8 |
Evidence
Evidence (0)
No evidence item is mapped to this specific task yet. The exposure figure above rests on the v1 editorial baseline and on the capability assessment, and should be treated as low-confidence. Pages with fewer than 0 evidence items are excluded from sitemaps.