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AI hype loves speed, but it rarely talks about the moment AI gets it wrong and says it with total confidence. Jason Wright and Georgia dig into the real risk of generative AI for entrepreneurs and small teams: not the obvious blunders, but the subtle, believable errors that look right at a glance and end up in front of a client. When you can’t use “confidence” as a signal, the burden shifts to you to verify, not to the tool to admit doubt.

We break down the mistake patterns we keep seeing in business use cases: hallucinated statistics, references to software features that don’t exist, and document summaries that flip one key detail. Then we share three practical habits that keep AI useful and safe: a hard rule that no AI output goes straight to a client without human eyes, a simple fact-checking filter for specifics like names, dates, numbers, and tool behavior, and the underrated advantage of using AI inside areas where you already have expertise and can instantly spot what’s off.

We also talk about a mindset shift that changes everything: AI is often safest for experts, not beginners. Think of it as a brilliant intern who never says “I’m not sure” and you’ll use it to draft faster while keeping decisions human. If you’re a small business owner with critical assets online, we also share a quick way to check for exposure. Subscribe, share this with a teammate, and leave a review if it helps, and tell us: what’s the most convincing AI mistake you’ve had to catch?

If this sparked ideas for your brand or business, subscribe for more deep dives, share the show with a founder who needs focus, and leave a quick review to help others find it. Ready to explore your own AI-hosted podcast and growth system? Head to www.intentionallyinspirational.com, hit the blue button, and book a call with the human version of Jason Wright.