We’re entering an era where AI doesn’t just respond—it acts.
Not just assistants, but agents. Not just tools, but decision-makers.

In this episode, we dive deep into the fast-shifting terrain of agentic AI—a powerful subset of artificial intelligence capable of setting and pursuing its own goals, making decisions autonomously, and taking action in the world without constant human supervision. It’s an exciting leap forward in productivity, automation, and adaptive intelligence… but it also raises profound, sometimes uncomfortable questions.

What happens when we hand over not just tasks, but intentions to machines? What new risks—ethical, economic, social—emerge when AI stops being passive and becomes proactive?

We explore:

• The difference between general intelligent agents and agentic AI (and why that distinction matters more than ever)

• How agentic systems can unlock massive efficiencies—and where they might quietly cross ethical lines

• The tension between automation and accountability: who’s responsible when an autonomous system gets it wrong?

• The very real concerns around data privacy, security vulnerabilities, algorithmic bias, lack of explainability, and job displacement

• What regulation should (and shouldn’t) look like in a world where software can act like a stakeholder

• The call for global cooperation and agile governance frameworks that can keep up with the tech without stifling innovation

This isn’t just a technical conversation—it’s a social one. As agentic AI becomes embedded in healthcare, finance, education, defence, and beyond, we need to decide now how we want these systems to behave, and under whose values they’ll operate.

Expect sharp insights, big questions, and a sober look at the trade-offs ahead. Whether you're an AI builder, policymaker, founder, or simply someone trying to make sense of it all—this episode will leave you better informed and a little more curious.

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