Distribution across 10 profiles.
Middle half of Knowledge Engineer / Information Architects score between 30% and 37%.
0%
50%
100%
p10 · 28%
47% · p90
Task breakdown by work type
On-screen work54%
Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.
In-person + screen34%
Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.
Computer + action0%
Computer input, real-world output — needs someone to act on it, not just software.
Fully in-person13%
No computer required. Furthest from automation — the strongest human advantage.
Typical tasks
3 synthetic profiles for a Knowledge Engineer / Information Architect, ordered by automation exposure.
Tab between them to see how task mix drives the score difference.
TaskTimeTypeExposure
Validate knowledge models through testing, stakeholder feedback, and iterative refinement cycles
some context neededsocial core
22%AD
9%
Conduct interviews and workshops with subject matter experts to extract tacit knowledge, business rules, and domain logic
deep expertisesocial element
17%AD
23%
Collaborate with IT architects, developers, and business teams to implement knowledge management systems and ensure adoption
deep expertisesocial core
15%AA
0%
Map existing enterprise data sources, databases, and systems to identify gaps, redundancies, and integration points
15%DD
50%
Design and document information architectures, taxonomies, ontologies, and knowledge models using diagrams and formal specifications
12%DD
53%
Audit and govern knowledge quality, consistency, and compliance with organizational standards and regulatory requirements
deep expertisesocial element
9%DD
28%
Create and maintain knowledge base content, documentation structures, and metadata schemas for searchability and retrieval
7%DD
86%
TaskTimeTypeExposure
Conduct interviews and workshops with subject matter experts to extract tacit knowledge, business rules, and domain logic
deep expertisesocial core
23%AD
6%
Create and maintain knowledge base content, documentation structures, and metadata schemas for searchability and retrieval
17%DD
90%
Collaborate with IT architects, developers, and business teams to implement knowledge management systems and ensure adoption
deep expertisesocial element
15%AA
0%
Validate knowledge models through testing, stakeholder feedback, and iterative refinement cycles
deep expertisesocial core
14%AD
6%
Map existing enterprise data sources, databases, and systems to identify gaps, redundancies, and integration points
14%DD
54%
Audit and govern knowledge quality, consistency, and compliance with organizational standards and regulatory requirements
12%DD
48%
Design and document information architectures, taxonomies, ontologies, and knowledge models using diagrams and formal specifications
2%DD
44%
TaskTimeTypeExposure
Design and document information architectures, taxonomies, ontologies, and knowledge models using diagrams and formal specifications
25%DD
77%
Create and maintain knowledge base content, documentation structures, and metadata schemas for searchability and retrieval
22%DD
93%
Map existing enterprise data sources, databases, and systems to identify gaps, redundancies, and integration points
19%DD
48%
Audit and govern knowledge quality, consistency, and compliance with organizational standards and regulatory requirements
15%DD
63%
Conduct interviews and workshops with subject matter experts to extract tacit knowledge, business rules, and domain logic
deep expertisesocial core
11%AD
0%
Validate knowledge models through testing, stakeholder feedback, and iterative refinement cycles
social core
4%AD
32%
Collaborate with IT architects, developers, and business teams to implement knowledge management systems and ensure adoption
deep expertisesocial core
2%AA
0%
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AI tools for this role
Tools relevant to the most automatable tasks in this profession.
