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Jeetu Patel

President & Chief Product Officer, Cisco

  • 2 episodes on Chain of Thought
  • 8 topics covered
  • 2 full transcripts
  • Nov 2025 first on the show
Jeetu Patel

At the time of the conversation, Jeetu Patel was Chief Product Officer at Cisco. On Chain of Thought he laid out the three bottlenecks he sees holding AI back: infrastructure limits, a trust deficit around non-deterministic models, and a widening gap between human-generated and machine-generated data.

Cover art for Parenting Your AI Agents for Best Results | Cisco's Jeetu Patel

Latest episode with Jeetu Patel · EP 67

Parenting Your AI Agents for Best Results | Cisco's Jeetu Patel

Jeetu Patel, Cisco ·

Show notes & transcript → All listening options →

Episodes

What the conversations cover

These notes summarize the episodes featuring Jeetu Patel, including other speakers in panel conversations. Follow a source link to read the discussion in context.

EP 67 Parenting Your AI Agents for Best Results | Cisco's Jeetu Patel

  • Jeetu Patel recommends building evaluations around your own use cases before choosing how to route work between models. A strong result on a public benchmark does not establish performance in your environment. Transcript at 14:15
  • Patel argues that supervision should cover an agent’s actions and token consumption. He describes intercepting boundary violations and quarantining agents whose behavior or usage needs intervention. Transcript at 28:17
  • Patel distinguishes access control from action control. Giving an agent an inbox connection should not automatically authorize every possible action; his example separates making dinner reservations from contacting a board of directors. Transcript at 34:40

EP 44 The Critical Infrastructure Behind the AI Boom | Cisco CPO Jeetu Patel

  • Jeetu Patel frames AI-and-jobs as a maturity spectrum: level one is “AI is going to take our job,” level two is “someone that uses AI better than me is more likely to take my job than AI” (a real risk), and level three is realizing it will be hard to do your job without AI — just as you now can’t get a finance job without understanding the spreadsheet. Episode takeaways
  • Patel argues aggregation — getting a succinct answer from the existing corpus of human knowledge — is “like 1% of the benefit” of AI. The other 99% is original insights that don’t exist in the human corpus, which he ties to tackling longevity, curing disease, ending poverty, and the climate crisis. Episode takeaways
  • On model proliferation, Patel expects consumer AI to consolidate to “a dozen” foundation models holding most inference volume, while the enterprise side could run “tens of thousands of models” behind an intelligent routing layer that optimizes cost, latency, and domain fit. He cites Cursor, guessing — “I don’t know for a fact” — that roughly 70% of its queries no longer go to Anthropic. Episode takeaways

In their words

It seems like everything gets refactored every two weeks. The way I think about it is agents are like teenagers. They are profoundly intelligent, extremely resourceful, have no fear of consequence. The reality is that you have to jump in and start experimenting right away. And if you don't, you will be left behind and be irrelevant.

Jeetu Patel Parenting Your AI Agents for Best Results | Cisco's Jeetu Patel · 0:00

Jitu is president and chief product officer at Cisco. Thank you so much for joining me. It's such a pleasure to be on your show, and I love the name of your podcast. Thank you so much.

Jeetu Patel The Critical Infrastructure Behind the AI Boom | Cisco CPO Jeetu Patel · 0:43

Transcript excerpts; ellipses mark omitted words. Some automatically selected quotes have filler words removed.