AI ASSESSMENT MODULE
On Measuring AI Readiness
Julian Hohlweg
Co-Founder, Traitwise
March 2026 · 2 min read
Everyone will use AI. That is not the point. The point is who will create multiples more value with the same tools. That is measurable. And it does not show up on a résumé.
The AI Readiness module measures three things: where someone stands today, how fast they learn, and whether they move on their own.
AI makes knowledge cheap. Intelligence and agency remain scarce.
AI knowledge expires quickly. Cognitive ability determines the rate of learning. Agency determines whether learning starts at all. AI makes knowledge cheaper. Cognitive ability and agency stay scarce.
Three-Facet Model
AI Understanding
How well a candidate understands what AI can do, where it fails, and how to direct it well and responsibly.
Scenario-based multiple choice · 20 items · 4 domains
Measured by
Scenario-based multiple choice · 20 items · 4 domains
Cognitive Ability
The lever. It determines how quickly someone understands new things and turns them into better output.
Problem-solving module · Traitwise Core
Measured by
Problem-solving module · Traitwise Core
Agency
The inner drive to learn, test, and persist without being pushed. Without agency, ability and knowledge sit idle.
Locus of Control · Traitwise Core
Measured by
Locus of Control · Traitwise Core
AI Readiness Score
The Assessment
Tools change quickly. Judgment does not. The module consists of twenty scenario-based items across four domains: Fundamentals, Judgment, Orchestration, and Ethics. It does not test which tool someone used most recently. It tests whether someone understands when AI helps, when it fails, and how to use it precisely.
Cognitive ability and agency require no additional module. Both come from Traitwise Core: cognitive ability from a validated problem-solving battery, agency from locus of control.
The three scores are reported separately. A single score would be simpler. But worse. It would smooth out the very signal that matters. AI Readiness shows where someone stands today. Cognitive Ability shows how fast someone catches up. Agency shows whether they move at all without pressure. That is the difference between staying current and building durable advantage.
The hiring mistake in the age of AI is not hiring someone who is not current yet. It is hiring someone who does not learn fast, does not self-start, and therefore never catches up. This module makes that difference visible.
Selected references
- Sackett, P. R. et al. A Contemporary Look at General Cognitive Ability and Job Performance. Journal of Applied Psychology, 2024.
- Hsia, J. W. et al. Effects of Locus of Control on e-Learning Acceptance in High-Tech Companies. Behaviour & Information Technology, 2014.
- Stănescu, D.F. & Romașcanu, M. AI Anxiety and Neuroticism in Attitudes toward Artificial Intelligence. ResearchGate, 2024.
- Nov, O. & Ye, C. Personality and Technology Acceptance: Personal Innovativeness in IT, Openness and Resistance to Change. HICSS, IEEE, 2008.
Julian Hohlweg
Co-Founder, Traitwise