Uploaded May 2026 | Updated September 2026, 1 week ago

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🔗 Learn more about Agentic AI for MATLAB and Simulink: mathworks.com/products/matlab/agentic-ai.html

Connect with Tianyi Zhu on LinkedIn: linkedin.com/in/tianyi-zhu-68bba3112

Tianyi Zhu is a Generative AI Product Manager at MathWorks, and he's spent the last year watching engineers go from skeptical to genuinely excited about working alongside AI agents.

In this episode, we sit down to discuss what actually separates an AI agent from a chatbot, why the "AI will replace engineers" narrative misses the point entirely, and where agentic AI is already delivering measurable ROI in engineering workflows.

We also get into the harder questions: how do you introduce AI into high-stakes engineering without sacrificing quality? Where does nondeterministic AI have no business being? And what should a young engineer focus on in 2026 to stay relevant?

If you're working with MATLAB or Simulink, or just trying to figure out where AI actually fits in your workflow, you’ll find this episode interesting.
Tune in!

🔗 To learn more about building, testing, and deploying an embedded system with the help of AI, check out this video by Mathworks: youtube.com/watch?v=-G4H2DmhR28

This video contains promotional content in partnership with MathWorks.

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