In this episode of How I Met Your Data, hosts Anjali, Junaid, and guest Jay Krish dive deep into the rapidly evolving world of Agentic AI—a paradigm shift from rule-following automation to systems capable of autonomous decision-making. Jay, a seasoned financial services leader and AI thinker, breaks down what Agentic AI really is: a network of large language models working together to reason, adapt, and act independently toward a goal.
Together, they explore:


🧠 How Agentic AI differs from traditional automation and ML


🚸 Why AI autonomy should be earned like parental trust—and the stages of building that maturity


⚖️ The escalating risk matrix: Who owns the risk when AI goes rogue?


🛡 Why human-in-the-loop design must persist, even in autonomous environments


🌎 The unspoken costs: environmental impact and the power-hungry infrastructure behind AI innovation


🔮 What the rise of agent-based systems means for the future workforce—and how to prepare for what's next


Jay offers practical advice on getting started, reframing fear into forward motion, and bringing ethical, human-centered thinking into the AI build process.
If you're curious about AI's next frontier, the risks and rewards of autonomous systems, and how to stay resilient in the face of transformation—this one's for you.

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