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Innovation Engineer

Based on 10 assessments · 1 from real users

24% Low risk

Average realistic automation risk across all Innovation Engineer profiles in the dataset.

Raw potential
53%
Realistic risk
24%
Research benchmark ?
49%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 10 profiles. Middle half of Innovation Engineers score between 21% and 26%.

0% 50% 100%
p10 · 20%
28% · p90
On-screen work 43%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 16%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 11%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 31%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Innovation Engineer, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Brainstorming and ideating new product features, process improvements, or business model concepts; facilitating ideation sessions with cross-functional teams
deep expertise
28% AD 16%
Collaborating with product, engineering, and business teams to refine ideas, remove blockers, and align on next steps
deep expertise
19% AA 13%
Analyzing data from experiments, user feedback, or pilot programs to evaluate which innovations should be scaled or abandoned
deep expertise social element
14% DD 29%
Prototyping, building proof-of-concepts, or running small-scale experiments to test feasibility of new ideas
deep expertise social element
11% DA 10%
Writing business cases, innovation proposals, and presenting findings to leadership to secure funding or approval for new initiatives
deep expertise
9% DD 15%
Mentoring junior team members and documenting lessons learned from successful and failed innovation attempts
deep expertise
8% AA 2%
Researching emerging technologies, market trends, and competitor innovations; reading whitepapers, attending conferences, scanning industry news
7% DD 51%

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