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Technology

It Consultant

Based on 38 assessments

37% Moderate risk

Average realistic automation risk across all It Consultant profiles in the dataset.

Raw potential
56%
Realistic risk
37%
Research benchmark ?
47%

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

Distribution across 38 profiles. Middle half of It Consultants score between 32% and 41%.

0% 50% 100%
p10 · 28%
49% · p90
On-screen work 44%

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

In-person + screen 15%

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

Computer + action 26%

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

Fully in-person 15%

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

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

Task Time Type Exposure
Designing and planning IT solutions: scoping projects, recommending technology stacks, creating architecture diagrams and implementation roadmaps
24% AD 26%
Meeting with clients and stakeholders: understanding business requirements, presenting findings and recommendations, negotiating scope and timelines
deep expertise
21% AA 5%
Implementing and configuring systems: setting up servers, installing software, configuring networks, deploying applications
18% DA 24%
Diagnosing IT infrastructure problems: analyzing logs, running diagnostics, identifying root causes of system failures or performance issues
15% DD 60%
Writing documentation and reports: creating technical specifications, implementation guides, knowledge base articles, and client-facing reports
11% DD 67%
Training and knowledge transfer: teaching end-users how to use new systems, mentoring junior staff, creating training materials
deep expertise
9% DA 10%
Testing and quality assurance: validating system configurations, running test scenarios, verifying fixes work as intended
1% DD 92%

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