AI Archetype Quiz
AI Archetype Quiz
Navigate the AI transformation with clarity and confidence
We're living through a paradigm shift. AI is reshaping how we work, but the biggest challenge isn't technological—it's human. Understanding your AI archetype helps you navigate this transformation with purpose, reduce conflict with colleagues, and make decisions that align with your values.
Why AI Archetypes Matter
People respond to AI according to deep-seated values, motivations, and practical needs. Some see adventure and opportunity. Others see risk and disruption. Most see a complex mix of both.
Your archetype reveals your natural approach to AI adoption—and more importantly, how to work effectively with people who see things differently. In times of rapid change, this understanding becomes essential for both individual success and organizational harmony.
Research-Based: This framework draws from leading research in technology adoption (Rogers, UTAUT), behavioral science, and digital transformation literature. It's designed as both a diagnostic tool for self-understanding and a practical guide for better collaboration.
Takes 5 minutes • Research-based insights • No email required
The 11 AI Workplace Archetypes
From The Innovator who sees adventure to The Guardian who prioritizes safety—each archetype brings essential perspectives to AI adoption.
The Scholar
Sees AI as a frontier for scientific inquiry and intellectual rigor. Values research, empirical evidence, and robust theoretical frameworks.
Key Characteristics:
- Grounds decisions in evidence and analysis
- Keeps hype in check with data and systematic study
- Fosters continuous learning and improvement
- Values peer-reviewed research and validation
How to work with them:
Engage in pilot design, assessment, and lessons-learned reviews. Leverage their expertise to set up meaningful metrics and success criteria.
The Strategist
Approaches AI through the lens of competitive advantage, business value, and organizational transformation. Focused on aligning AI initiatives with mission, ROI, and market realities.
Key Characteristics:
- Drives alignment between AI and business outcomes
- Secures resources and executive sponsorship
- Keeps efforts goal-oriented
- Focuses on competitive advantage and ROI
How to work with them:
Involve in roadmap and business case development. Pair with values-driven archetypes to ensure plans are both profitable and principled.
The Humanist
Centers human wellbeing, agency, and dignity. Sees AI as a tool for human flourishing, not a replacement for human value.
Key Characteristics:
- Ensures AI enhances rather than erodes humanity
- Champions user experience and emotional impacts
- Raises questions about autonomy and meaning of work
- Advocates for human-centered design
How to work with them:
Invite into user research, change management, and communication planning. Recognize their advocacy for meaning and wellbeing.
The Pragmatist
Values practicality, incremental progress, and evidence-based action. Focused on what works 'on the ground,' not just in theory or vision.
Key Characteristics:
- Bridges vision and execution
- Surfaces operational risks early
- Supports sustainable, manageable rollout
- Focuses on practical implementation
How to work with them:
Make part of implementation, feedback, and continuous improvement cycles. Empower them to surface blockers early.
The Guardian
Focuses on risk management, safety, security, and governance. Prioritizes regulation, compliance, and robust oversight to prevent harm.
Key Characteristics:
- Prevents costly mistakes or scandals
- Enforces standards and accountability
- Brings holistic view of risk and privacy
- Advocates for robust oversight
How to work with them:
Involve from the start in risk assessment and policy creation. Give them real decision rights in solution-finding.
The Egalitarian
Prioritizes fairness, equity, and justice in all aspects of AI. Focused on ensuring access, preventing bias, and protecting the vulnerable.
Key Characteristics:
- Brings voice of inclusion and social impact
- Highlights bias and advocates for equity
- Ensures systems don't amplify inequalities
- Focuses on fair benefit sharing
How to work with them:
Invite to review design, hiring, and deployment plans for inclusion. Use their insights to address bias or access barriers.
The Innovator
Sees AI as an adventure and a lever for transformative change. Motivated by curiosity, creativity, and the drive to be first.
Key Characteristics:
- Sparks momentum and excitement
- Rapidly discovers new use cases
- Inspires others through visible action
- Willing to take risks and experiment
How to work with them:
Encourage experiments and create space for safe piloting. Pair with operational partners to scale impact.
The Steward
Guided by environmental and resource stewardship. Focused on ensuring AI is sustainable and ecologically responsible.
Key Characteristics:
- Advocates for 'AI for Good' and long-term thinking
- Raises questions about energy use and waste
- Focuses on ecological impact and sustainability
- Champions resource-conscious solutions
How to work with them:
Include early in decision-making. Let them help shape sustainable policies and evaluate environmental tradeoffs.
The Learner/Educator
Driven by curiosity, upskilling, and the desire to build AI literacy. Acts as a bridge between developers, decision-makers, and end-users.
Key Characteristics:
- Helps organizations adapt and stay resilient
- Builds trust through transparent communication
- Champions realistic self-assessment
- Focuses on building AI literacy
How to work with them:
Engage in onboarding, internal communications, and change management. Recognize efforts to build AI-ready organization.
The Integrator/Facilitator
Ensures AI moves from pilot to real-world use. Focuses on implementation, monitoring, and continuous improvement.
Key Characteristics:
- Makes change real through integration
- Sets up safety nets and feedback loops
- Guides ongoing user education
- Bridges strategy and operations
How to work with them:
Empower with authority and cross-functional access. Invite into both planning and rollout phases.
The Skeptic/Resistor
Approaches AI with critical lens, motivated by self-preservation, skepticism, or deep questions about value and risk.
Key Characteristics:
- Identifies blind spots in hype and groupthink
- Protects team from unintended consequences
- Surfaces real risks and concerns
- Provides essential critical perspective
How to work with them:
Acknowledge legitimacy of skepticism. Invite into structured evaluation and provide clear, transparent answers.