Good Stuff 63 - Why AI Is Good For SMEs Titelbild

Good Stuff 63 - Why AI Is Good For SMEs

Good Stuff 63 - Why AI Is Good For SMEs

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The conversation explores why regional SMEs face a different AI adoption gap than metro businesses.

Why AI enables his advisors to get out of the office and sit at kitchen tables having real conversations.

The paradox: more AI means hiring more humans, because human judgment and attention don't scale with processing power. The conversation goes deep on corporate extraction vs SME capitalism, the "tidal wave going out" before the tsunami hits regional Australia.

**Key Moments:**

- [03:50] "In regional Australia, finding work's not the issue. The challenge is how do you engage the right people."

- [06:05] The tsunami metaphor: "The tide's going out and everyone's walking on the beach going, look at the seashells"

- [12:59] "For us as a society, we need to decentralize leadership"

- [17:05] X Plan dominance: "$110 million of $200 million in fintech revenue. One login can cost $12,000 per year."

- [22:24] "There's not many things in your business more valuable than your data now"

- [29:11] The Hispanic Trump voter question from Harvard: "Why would somebody in regional Australia vote for a female version of Donald Trump?"

- [37:17] "Your core value generating part of your business now sits in Anthropic's data center and the guy that runs it is telling you he will take your job"

- [42:05] "All I've seen in our business is we need more humans that can use AI"

- [51:10] "I'd rather be wrong and human than right and AI"

- [53:37] Kane's constraint theory: "Shoot a bullet before you get the bazooka out"

- [1:00:03] NVIDIA stat: "Same size as the top 324 Australian companies combined by market cap"

- [1:02:28] "I wouldn't take the pill. Why would I want to cut the heads of ten of my favorite work brothers and sisters?"

**Friends of the Pod:** Kane (guest), Gabe (Adapt/Lumia connection), Bill Withers (SME capitalism conversations), Daniel (Kane's tech mate), Professor Boris Gruwski (Harvard), Professor Rari (the Hispanic Trump voter question)

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