This week’s episode is a little different. It’s just me. I’ve been speaking at several events recently and noticed that one idea keeps resonating with people over and over again — the idea that AI shouldn’t be viewed as software, but as labor.

Most businesses today are experimenting with AI tools, but very few have actually made the mindset shift required to unlock its real potential. In this episode, I break down why the real transformation happening right now isn’t about shiny tools or clever prompts — it’s about redefining how work gets done inside your business. AI is no longer just something that helps your team work faster. It’s something that can share responsibility for output alongside your team.

We dig into how the evolution from SaaS software to AI agents is changing the structure of businesses, why most companies are still thinking about AI the wrong way, and how role-based AI workers can dramatically increase production without dramatically increasing headcount. If you’re a real estate investor or entrepreneur trying to scale without constantly hiring more people, this episode will challenge how you think about the future of your workforce.

Episode Timeline & Highlights

[0:00] – Why this episode is a solo talk based on presentations Jordan has been giving recently.

[1:09] – The core idea: AI should be viewed as labor, not just software.

[2:05] – Why most businesses are still thinking about AI in the wrong way.

[3:06] – The “shiny tool” problem and why real estate investors are especially prone to it.

[5:42] – A quick historical look at how labor and production have evolved.

[6:40] – How SaaS changed business productivity over the last 30 years.

[9:41] – Why SaaS systems increased efficiency but still relied on human execution.

[10:12] – The next shift: AI systems that can share responsibility for output.

[11:59] – How traditional CRMs hit a ceiling because humans must still execute tasks.

[12:38] – AI agents as workers that can perform roles inside a business.

[14:31] – How Smart Agents were designed around roles instead of generic tools.

[22:00] – A real example: four contracts generated from after-hours AI responses.

[23:17] – Why urgency and speed-to-lead are critical in real estate investing.

[24:37] – The opportunity created by 24/7 lead response.

[27:16] – Where AI agents work best: repetitive, high-volume operational roles.

[28:28] – How businesses that adopt AI labor models will outpace competitors.

5 Key Takeaways

1. AI is not just a tool — it’s a workforce multiplier. Businesses need to treat it as labor, not software.
2. The SaaS era increased efficiency, but AI changes output itself. Systems can now participate in execution.
3. Role-based AI wins. Treat AI agents like employees with defined responsibilities.
4. Speed matters in real estate. AI answering leads instantly can unlock deals humans miss.
5. Start small. Introducing one AI role into your workflow can transform your productivity.

Links & Resources

• SmrtPhone – The only phone system built for real estate investors (5,000 free minutes)
• Smart Agents – AI workforce tools built into the SmartPhone platform
• ThatRealEstateTechGuy.com – All episodes and exclusive tech discounts

Closing

If you enjoyed this episode, please follow, rate, and review That Real Estate Tech Guy. Share it with someone who’s experimenting with AI but hasn’t yet made the mindset shift from tools to workforce.

Because the businesses that understand this shift early will build a massive advantage in the years ahead.