Let’s be honest, most of us are still wrapping our heads around generative AI… and now there’s this new wave called #AgenticAI.
Never heard of it? You’re not alone.
But here’s why it matters: #AgenticAI isn’t just about generating content, it’s about giving AI the ability to act, adapt, and pursue goals on its own.
I was thrilled to host Adit Sheth, Senior Engineer at Microsoft, on Deep Tech Talks for a conversation that dives deep into the future of Agentic AI, where machines go beyond outputs and start making decisions.
In this episode, we explored a powerful shift that’s already reshaping how AI is built, deployed, and trusted in real-world systems.
Here’s are the key highlights:
- What truly makes an AI system agentic and how it differs from #generativeAI?
- The tech stack powering this shift: modular architecture, semantic memory, and plug-and-play adapters.
- Why is building agents the easy part, and designing trust, control, and alignment is the real challenge?
- How agentic AI introduces new layers of risk?
- Real-world use cases.
It’s time to rethink AI. Not as a tool, but as a co-worker helping you move faster, smarter, and with more context.
Are we ready for that?
Have a question about agentic AI? Drop it in the comments, we’ll answer them in upcoming threads.
