Everyday AI Podcast – An AI and ChatGPT Podcast Ep 677: The 3 Big Obstacles Holding AI Adoption Back
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Dec 19, 2025 
In this discussion, Jeetu Patel, President and Chief Product Officer at Cisco, shares his expertise on AI adoption hurdles for large enterprises. He identifies three major obstacles: infrastructure constraints, a trust deficit in AI systems, and data gaps impacting success. Jeetu also explores the transition from simple chatbots to more complex agentic workflows, emphasizing the need for robust AI models and the importance of trust. His insights reveal how organizations can better harness AI's potential and tackle these pressing challenges.
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From Chatbots To Agentic Workflows
- AI is shifting from chatbots to agentic workflows that automate full business tasks and processes.
- Companies that experiment early develop instincts that let them scale agentic automation faster.
Infrastructure Is The First Bottleneck
- The top adoption constraint is infrastructure: power, compute (GPUs), and network bandwidth are insufficient for broad AI scale.
- National security and economic growth hinge on a country's ability to provide AI infrastructure.
Trust Deficit Limits Enterprise Use
- The second major barrier is a trust deficit: enterprises avoid using AI fully because of safety and misuse concerns.
- Secure, provable guardrails and runtime enforcement are required before companies will deploy AI broadly.