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AI Hiring Readiness Scorecard
Introducing the AI Proficiency Assessment
Your candidates use AI every day. Now you can measure how well.
The only hiring assessment that measures practical AI proficiency — how people actually work with AI tools, not which one they've memorised. Scenario-based. Tool-agnostic. Built on peer-reviewed research, not a proprietary framework.
Tool-Agnostic
Skills that transfer across any AI tool
Research-Grounded
Built on 6 peer-reviewed frameworks
Scenario-Based
Realistic tasks, not textbook quizzes
What does the assessment actually measure?
Five scientifically validated dimensions of AI proficiency.
No pass/fail. Employers get a 0–100 score across three proficiency levels and a detailed profile of each candidate’s AI working style. The assessment takes approximately 15 minutes.
1. AI Task Strategy
Can they decide when AI is the right tool for a task, and when it isn’t?
2. Critical Evaluation
Do they question AI output, or copy-paste it without checking?
3. Prompting & Interaction Quality
Can they get useful, specific results from AI tools?
4. Ethical & Responsible Use
Do they understand privacy, bias, and when to say no?
5. Adaptive Learning
Can they pick up new AI tools without hand-holding?
The case for measuring AI Proficiency
Self-reported AI skills on resumes are unreliable. LinkedIn profiles show a 142× increase in AI-related skills, but there’s no way to verify what any of it means in practice. Most existing assessments either test narrow coding ability or surface-level awareness that tells you nothing about workplace performance.
75%
of knowledge workers
now use AI at work
*Microsoft Work Trend Index, 2024
63%
of employers
say skills gaps are their primary barrier to transformation
*WEF Future of Jobs Report, 2025
EU AI Act
Art. 4
requires organisations to ensure adequate AI literacy among staff
*Regulation EU 2024/1689
Companies that figure out how to measure real AI proficiency will hire better and adapt faster. Companies that don’t will keep guessing.
Research & Insights on AI Proficiency
Published by Bryq’s I/O psychology and hiring research team.
BLOG POST
Why Every Hiring Process Now Needs an AI Proficiency Assessment
75% of knowledge workers use AI daily. Yet most hiring processes have no way to measure AI skills in candidates. Here's why self-reported proficiency is noise — and what a real AI proficiency assessment looks like.
REPORT
AI at Work: The Proficiency Gap
Research report on AI adoption, skills gaps, and why measuring AI proficiency matters. 75% of knowledge workers use AI, yet most organisations lack reliable ways to assess capability.
FAQ
Find answers to the most frequently asked questions
What is AI proficiency and why does it matter for hiring?
AI proficiency is the practical ability to work effectively with AI tools in the workplace. It covers five areas: deciding when to use AI, writing effective prompts, critically evaluating AI output, using AI responsibly, and learning new tools as they emerge. With 75% of knowledge workers now using AI daily, measuring this skill is becoming as fundamental as measuring communication or problem-solving. Companies without a way to assess it are hiring blind.
What’s the difference between AI proficiency and AI literacy?
AI literacy is knowing what AI is and roughly how it works. AI proficiency is being able to use it well. Someone can be AI-literate (they can explain what a large language model does) without being AI-proficient (they can’t write a prompt that produces useful output, or they can’t tell when AI has generated something wrong). Hiring for literacy gets you people who understand AI. Hiring for proficiency gets you people who can work with it.
How do you measure AI proficiency in candidates?
The most reliable method is a scenario-based assessment: place candidates in realistic work situations involving AI and evaluate their decision-making. Bryq’s AI Proficiency Assessment measures five dimensions (task strategy, critical evaluation, prompting quality, ethical use, adaptive learning) on a 0–100 scale. It’s tool-agnostic and built on six peer-reviewed frameworks, so scores reflect transferable skill rather than familiarity with one specific tool.
Does the EU AI Act require companies to assess AI proficiency?
Article 4 of the EU AI Act (Regulation 2024/1689) requires organisations to ensure adequate AI literacy among staff who develop, deploy, or use AI systems. The regulation doesn’t mandate a specific test. But a validated, scored assessment is the most defensible way to demonstrate compliance. Without documented measurement, proving “adequate literacy” becomes an opinion exercise with regulatory risk.
