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On the Tech for Business podcast, the host talks with Kelsey, an AI operations coordinator, about the difference between automation and AI and why people confuse them. Kelsey explains that automation follows rules you provide while AI figures out the rules, using analogies like a dishwasher (automation) versus a cook (AI), and notes marketing has contributed by labeling many products as “AI.” They discuss when the distinction matters, focusing on outcomes, resource usage, and measuring impact through output quality and time saved rather than “using AI” as a goal. The episode covers where automation fits best (repetitive, predictable tasks) versus AI (judgment, messy inputs, agentic planning), and warns that adopting AI without documented processes and clean data can accelerate broken workflows, waste money, and create risk, emphasizing problem-finding over tool-chasing.

00:00 AI vs Automation Intro

00:31 Simple Definitions

01:14 Kitchen Metaphor

02:39 Why The Confusion

04:23 Does The Difference Matter

08:08 Automation In Business

10:36 Where AI Fits In

11:47 Using AI Without Automation

14:27 Overrelying On Automation

19:23 AI Without Groundwork

29:03 Human Context Still Matters

32:31 Find The Real Problem

35:28 Wrap Up And Next Episode