EP 5: Agentic Leadership in AI Transformation

Inside AsembleAI: DeepTech, AI & Science

In this episode of Inside Assemble AI, hosts Mac and Sam sit down with David Catalano to explore how artificial intelligence is transforming business strategy and innovation. This episode, titled "Agentic Leadership in AI," addresses the critical question of how non-technical executives can successfully lead AI initiatives that drive real business impact. David, a former opera singer turned McKinsey consultant, is currently finishing his MBA at the University of Oxford, where he also tutored and presented at the university's AI summit on autonomous AI agents and his concept of agentic leadership. He coined the term "agentic leadership" in a recent LinkedIn article. Key insights from David Catalano include: • Identifying Strategic Pressure Points • Defining Well-Scoped AI Use Cases • Building Governance Frameworks • Metrics and Feedback Loops for Optimization • Quantifying ROI • Upskilling and Mindset Shifts • Avoiding Pitfalls and Addressing Concerns 🎙️ Runtime: ~1 hour (estimated)
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In this episode of Inside Assemble AI, hosts Mac and Sam sit down with David Catalano to explore how artificial intelligence is transforming business strategy and innovation. This episode, titled "Agentic Leadership in AI," addresses the critical question of how non-technical executives can successfully lead AI initiatives that drive real business impact. David, a former opera singer turned McKinsey consultant, is currently finishing his MBA at the University of Oxford, where he also tutored and presented at the university's AI summit on autonomous AI agents and his concept of agentic leadership. He coined the term "agentic leadership" in a recent LinkedIn article. Key insights from David Catalano include: • Identifying Strategic Pressure Points • Defining Well-Scoped AI Use Cases • Building Governance Frameworks • Metrics and Feedback Loops for Optimization • Quantifying ROI • Upskilling and Mindset Shifts • Avoiding Pitfalls and Addressing Concerns 🎙️ Runtime: ~1 hour (estimated)
2025-08-07 49 min
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