Discover Your AI Archetype
Take our research-backed quiz to understand how you naturally approach AI and technology transformation. Join thousands of professionals who've gained clarity on their AI journey.
What You'll Discover
Your AI Approach
Understand your natural instincts when facing AI decisions and technology changes
Your Strengths
Identify the unique value you bring to AI transformation and technology leadership
Growth Areas
Learn how to leverage your archetype for better AI adoption and team collaboration
Meet the 11 AI Archetypes
Each archetype brings unique strengths to AI transformation
💡 Click any archetype to learn more about their approach and characteristics
Characteristics:
Approaches AI through research, peer review, and systematic analysis. Values empirical evidence and reproducible results.
AI Approach:
"Show me the studies" - Wants to understand the science behind AI before adoption. Focuses on validated methodologies.
Strengths:
Thorough evaluation, risk assessment, evidence-based recommendations, long-term thinking.
Characteristics:
Views AI as a competitive weapon. Focuses on market positioning, ROI, and strategic advantages over competitors.
AI Approach:
"What's our competitive edge?" - Prioritizes AI investments that create market differentiation and revenue growth.
Strengths:
Business acumen, ROI focus, market analysis, strategic planning, competitive intelligence.
Characteristics:
Prioritizes human impact in AI decisions. Concerned with job displacement, privacy, and maintaining human agency.
AI Approach:
"How does this affect people?" - Evaluates AI through the lens of human impact and ethical considerations.
Strengths:
Ethical reasoning, stakeholder empathy, change management, cultural sensitivity.
Characteristics:
Focuses on what actually works in practice. Prefers pilot projects, measurable results, and incremental progress.
AI Approach:
"Does it solve real problems?" - Tests AI solutions on small scale before broader implementation.
Strengths:
Implementation focus, problem-solving, testing methodologies, operational efficiency.
Characteristics:
Emphasizes security, compliance, and risk mitigation. Ensures AI implementations meet regulatory and safety standards.
AI Approach:
"What could go wrong?" - Develops frameworks and policies to ensure responsible AI adoption.
Strengths:
Risk assessment, compliance knowledge, policy development, security mindset.
Characteristics:
Champions inclusive AI that benefits everyone equally. Focuses on bias reduction and equitable access to AI benefits.
AI Approach:
"Who gets left behind?" - Ensures AI development and deployment considers all stakeholders and communities.
Strengths:
Bias detection, inclusive design, stakeholder representation, social impact assessment.
Characteristics:
Embraces cutting-edge AI capabilities. Willing to experiment with emerging technologies and disruptive approaches.
AI Approach:
"What's possible now?" - Early adopter who explores AI's transformative potential across all domains.
Strengths:
Vision, experimentation, change catalyst, technology evangelism, creative problem-solving.
Characteristics:
Prioritizes building organizational AI capabilities. Focuses on training, education, and skill development.
AI Approach:
"How do we get smarter?" - Invests in learning infrastructure and capability building before implementation.
Strengths:
Knowledge transfer, training design, capacity building, learning culture development.
Characteristics:
Sees AI as part of larger systems and workflows. Focuses on integration, interoperability, and seamless user experiences.
AI Approach:
"How does this fit together?" - Ensures AI solutions work harmoniously with existing systems and processes.
Strengths:
Systems architecture, workflow optimization, user experience design, cross-functional collaboration.
Characteristics:
Questions AI hype and demands proof of value. Serves as a valuable check against overenthusiasm and unrealistic expectations.
AI Approach:
"Prove it works" - Challenges assumptions and requires evidence before accepting AI solutions as beneficial.
Strengths:
Critical thinking, devil's advocate perspective, quality assurance, realistic expectations setting.
Characteristics:
Takes a long-term view of AI impact on society and future generations. Balances innovation with responsibility and sustainability.
AI Approach:
"What's the long-term impact?" - Considers broader implications and ensures AI development serves humanity's future.
Strengths:
Future-oriented thinking, sustainability focus, ethical leadership, legacy consideration.
Ready to Discover Your Archetype?
Take our research-backed quiz and join thousands of professionals who've gained clarity on their AI journey.
🚀 Take the Quiz NowFree • 5 minutes • Shareable results