Session

When AI Can Do Your Job: The Tech Leader's Path from Crisis to Purpose

As AI transforms not just our workforces but the very nature of leadership, tech executives face a profound question: What makes human leadership valuable when AI can outperform us at strategy, analysis, and even creativity?

This interactive session introduces Autogenic Realism: a practical framework that reveals how meaning and purpose emerge from our capacity to navigate constraints, build coherent systems, and experience vitality through real challenges, not from our job titles or traditional functions.

CTOs and tech leaders will discover:

- Why human purpose transcends organizational roles and KPIs
- How to build teams that find meaning through navigating real constraints, not defending functions
- Concrete tools for measuring and fostering organizational vitality beyond performance metrics
- A framework for leading when traditional executive functions become automated

Perfect for tech leaders asking: "How do I lead when AI can do my job?" and "How do we maintain human vitality in increasingly automated organizations?"

Key Themes:

The Executive Identity Crisis
- As AI automates strategic decision-making and pattern recognition, even C-suite roles face existential questions
- Tech leaders are experiencing the same purpose crisis they're implementing for others
- The need to redefine leadership value beyond operational functions

From Performance Metrics to Vitality Metrics
- Moving beyond traditional KPIs to measure organizational health through vitality and adaptability
- How leaders can build resilient teams when traditional performance measures become obsolete
- Concrete tools for assessing systemic coherence and developmental momentum

Leading Through Constraint
- How navigating real limitations creates more meaningful leadership than optimizing for efficiency
- The difference between managing systems and fostering vitality in teams
- Practical frameworks for helping teams find purpose when their traditional functions are automated

Systemic Viability in Tech Organizations
- How to build organizations that maintain coherence as AI transforms every function
- Moving from disruption-focused leadership to viability-focused leadership
- Creating environments where human purpose emerges from navigating constraints rather than job descriptions

Darryl Kanouse

Head of Product & AI/ML, Data Science & Engineering @ Amazon Web Services (AWS) | Viability Architect @ The Autogenic Realist | Writer

Redondo Beach, California, United States

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