
Everyday AI Podcast – An AI and ChatGPT Podcast Ep 633: The 3 Big Obstacles Holding AI Adoption Back
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Oct 16, 2025 Jeetu Patel, President and Chief Product Officer at Cisco, shares insights on crucial hurdles in AI adoption. He emphasizes the significant gaps in infrastructure, the trust deficit surrounding AI systems, and issues with data quality. Jeetu explains how these obstacles hinder companies from fully leveraging AI's potential. He also discusses the rising demand for agentic AI and how it's reshaping investment and operational landscapes. Plus, he highlights strategies for building trust in AI systems, including data validation and continuous monitoring.
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Phase Two: From Chatbots To Agents
- AI has moved from chatbots to agentic systems that automate full workflows across businesses.
- This phase shift multiplies impact as companies move from individual productivity to automated workflows.
Start Experimenting Early
- Experiment early to build instinct and keep pace with AI evolution.
- Waiting on the sidelines makes it much harder to catch up as models and workflows progress.
Infrastructure Is The First Bottleneck
- Infrastructure is a top constraint: power, compute, and network bandwidth are insufficient for AI's growth.
- Data centers are built where power exists, shifting national strategies around AI capacity and security.

