Daring Breakthroughs with Tatiana Ferreira | The AI Leadership Trap
Is AI making you a lazy thinker?
In this episode of Daring Breakthroughs, host Jenn Landis sits down with transformation executive and AI governance expert Tatiana Ferreira to discuss the evolving landscape of leadership in the age of AI. While many professionals are focused on adopting new tools, the real challenge lies in maintaining original thought and critical thinking.
Tati shares her powerful 70-30 framework, explaining that while AI can handle the bulk of "busy work," there is a vital 30% that only humans can do: tasks requiring judgment, nuance, and compassion. We dive deep into why you should never outsource your thinking to a machine and how to use AI as a "challenge partner" to identify blind spots and shoot holes in your strategic plans. If you want to gain a competitive edge and lead with unstoppable confidence, you cannot afford to relegate your executive functioning to an algorithm.
🔑 Inside this Podcast Episode:
💡The Shift in Leadership: Why the "economy of output" is ending and the "economy of judgment" is beginning.
💡The 70-30 Framework: Understanding the specific 30% of work that requires a human touch.
💡The Danger of Outsourcing Thought: Why relying on AI for original ideas is a "warning" for modern executives.
💡AI as a Sparring Partner: How to use "alien intelligence" to challenge your hypotheses and find blind spots.
💡The Tati Test: A practical experiment to improve your AI prompts this week.
📚RESOURCES MENTIONED
▶ Break Up. Break In. Breakthrough. by Jenn Landis
🔗 LET'S CONNECT
🎤 Hire Jenn to speak at your next event: https://www.jennlandis.com/speaking
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LinkedIn (Jennifer (Jenn) Landis): / jennlandis
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🔗Connect with Tatiana Ferreira: Learn more about Tati's work in transformation, AI governance, and executive leadership:
🌐 HarmonIQ Consulting: https://www.beharmoniq.com/
🚀 Aurora AI Retail Accelerator: https://blueskyai.co/pages/aurora
🔗 Connect with Tatiana Ferreira:
LinkedIn: / tatianaferreira
Instagram: / tatiana_g_ferreira
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