Working with Superintelligence: Exploring Leadership In The Age of AI
Overview
AI implementation rates show that 70-95% of initiatives fail—and it's rarely the technology.
In the first wave of AI adoption, organizations raced to adopt ChatGPT, Copilot, and enterprise AI tools. The real challenge became what happened after the tech was implemented: the human dynamics, cultural shifts, and leadership required to make AI actually work.
We are on the cusp of a second wave with the emergence of AI superintelligence that has much deeper and more profound implications for people, work and society as a whole.
Join us for an intimate fishbowl discussion where we explore what it means to work with emerging superintelligence, how we work with our team members in the age of AI and how we retain our humanity in the process.
We'll dive into:
The hidden human factors derailing AI projects: trust gaps, role confusion, and resistance
How to build a healthy relationship with AI tools—superpower, not dependency
Leadership strategies for navigating the social and emotional impacts of AI adoption
Real stories from implementation work: what actually happens when AI enters an organization
Practical frameworks for Series A-C companies rolling out AI at scale
Bring your questions, your war stories, and your curiosity. This isn't about the tools—it's about us navigating these times together.
Event Details
📅 Date: Thursday, February 13, 2025
🕔 Time: 16:00 GMT, 11:00 ET
⏱️ Duration: 90 minutes
📍 Format: Live online fishbowl (interactive discussion)
Your Hosts
Fatma Ghedira — Leadership Coach & Organizational Psychologist
John Ellison — AI Product Leader & Behavior Designer
About Fatma
Fatma is a leadership Coach & Facilitator and community builder working at the intersection of psychology, somatic practice, and group process. She has designed and stewarded learning experiences and communities at scale, supporting the growth of ThinkHuman from a small network into a global learning ecosystem of over 20,000 professionals.
About John
16 years building products across climate tech, civic tech, and fintech. Supported 300+ founders at Google for Startups. Now helping executives develop genuine working relationships with AI—turning skeptics into practitioners who save 14+ hours weekly while making better decisions.
Fishbowl Participants
About Stephan
Stephan is a behavioral scientist and innovation leader specializing in the human side of AI adoption. He helps businesses navigate the people-related challenges that determine whether AI implementations succeed or fail. Also Director and Co-Founder of Eternal Remedy Arts Collective.
About Mariana
Mariana brings an MA in Adult Learning and an ICF coaching certification, plus 20+ years leading organizational L&D across edtech, media, entertainment, and consulting. She founded her human-centered leadership practice in 2024, focusing on helping leaders navigate cultural transformation.
What We'll Explore
Why AI transformation fails (even in well-funded companies)
Why pilots get stuck in "AI theatre"
The hidden human dynamics behind 70–95% failure rates
Where leaders underestimate complexity
Human–AI roles, trust, and dependency
Over-trust vs under-trust in AI systems
Role confusion between humans and machines
When AI becomes a crutch instead of a capability amplifier
The relational and cognitive cost of AI adoption
Attention erosion and siloed working
What happens to collaboration, creativity, and judgment
Why productivity gains can quietly undermine teams
Leadership patterns that actually work
Moving from replacement to augmentation
Designing governance without killing experimentation
Building AI literacy without dependency
From insight to action
What leaders can do now to avoid failed rollouts
How to approach AI strategy as both a technical and human challenge
When implementation alone is not enough — and when it is
Who Should Attend
This session is especially relevant for:
CEOs, COOs, CFOs, Heads of Product, Ops, or Growth
Leaders at Series A–C companies (50–200 employees)
Organizations already using AI tools but struggling with:
Adoption
Alignment
ROI
Resistance or fatigue
Teams that have bought AI tools but can't get them to stick
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