AI's Control Problem: Agents, Costs And Robots
By CNBC
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AI is moving from answering questions to taking action, and the bills are arriving faster than anyone budgeted for. An agent that spins up thousands of other agents can turn a $20 task into a $50,000 one, and companies are starting to scale into bankruptcy. The fight now isn't over how smart these systems are. It's over who controls what they do and what they cost. Deirdre Bosa talks with three executives at the center of that shift: » Jeetu Patel, President and Chief Product Officer at Cisco, on rogue agents, guardrails and why autonomous systems need a kill switch. » Lin Qiao, co-founder and CEO of Fireworks AI, on inference economics and whether efficiency can keep AI businesses solvent. » Evan Beard, co-founder and CEO of Standard Bots, on the U.S.-China robot gap — 300,000 deployed to our 30,000 — and what it costs to lose the next platform. Chapters: 00:00 Introduction 1:00 Is AI's easy-money era over? 4:43 Cisco President Jeetu Patel 21:20 Fireworks AI CEO Lin Qiao 37:59 Stand
Tags: AI agents, agentic AI, AI costs, inference costs, AI agent security, rogue agents, AI guardrails, agentic AI risks, AI infrastructure, enterprise AI, Jeetu Patel, Cisco AI, Lin Qiao, Fireworks AI, Standard Bots, Evan Beard, humanoid robots, industrial robots, China robotics, US China tech
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