AI Agents Explained: When They Work and When They Fail

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AI agents are being hyped as the next big thing. But most companies are using them in the wrong way.
In this video, I break down when AI agents actually make sense — and when they don’t.
You’ll learn:

– What an AI agent really is (and how it differs from automation or predictive AI)
– The kinds of business problems that actually benefit from reasoning, planning, and multi-step coordination
– Where simple scripts, workflows, or predictive models are faster, cheaper, and more reliable
– Real examples of when agents fail, and when they deliver real leverage

By the end, you’ll know exactly how to decide whether an AI agent adds value — or just adds complexity.

👤 About Me:
I’m Joshua Ebner, a 20-year expert in AI, machine learning, and data science, with experience at companies like Apple, HP, Ogilvy, and Bank of America. I help companies design and execute AI strategies that deliver real business impact.

Video Sections:
0:00 Intro — AI agents are not magic
2:00 What an AI agent actually is
3:56 When AI agents do make sense
5:50 When agents don’t make sense
8:52 More about AI Agents

#AI AIforBusiness #AIAgents #AIStrategy