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Dave Blundin asked a question on the Moonshots podcast that every real estate agent should answer before lunch:

If you had 100,000 genius-level employees who followed your exact instructions, what would you have them do?

The question is no longer theoretical. Work that cost roughly half a million dollars in compute in 2023 can now cost around $20 a month — a 25,000-fold price drop in two years. Meanwhile, agents are still debating whether AI is real, useful, or somehow going to make everyone less intelligent.

This week's episode of PowerHouse Talk is about closing that gap. It covers AI teams, real estate applications, AI avatars, housing affordability, longevity, abundance, and the one advantage machines still cannot copy: meaningful human connection.

The show opened with a series of personal and business wins, but Dan's story became the clearest example of how the right environment changes decisions. He has spent three to four years following up with an eight-agent powerhouse team that is now considering joining his EXP revenue-share group.

The team had previously accepted a large incentive arrangement with another brokerage, which effectively locked them into staying. But as that agreement approaches expiration, the financial question is no longer the only one. The team is also asking whether it is still being challenged, whether it is surrounded by forward-thinking people, and whether the room it is in matches where it wants to go.

Keri framed the decision this way: people eventually look around and realize they have absorbed everything they can from their current environment. Growth requires new conversations, new ideas, and people who are thinking further ahead.

That is especially true with AI. The technology is moving too quickly for an agent to figure everything out alone. The right community can help separate practical tools from noise, fear, and hype.

The episode continues introducing Tammy Irby, a Northern Virginia agent with decades of experience in the business. Tammy has now joined EXP and described her transition as a move toward a more growth-oriented environment.

Her own business win was a listing launch where the seller followed every recommendation: preparation, pricing, and positioning. Tammy said the experience reminded her why the business is rewarding when the agent has the skills to guide a seller and the seller is willing to execute.

Her advice to agents was direct: if your business is not producing the experience you want, get more skills. Better skills create a better business. And increasingly, agents can pair their own skills with AI systems that provide research, preparation, and operational support.

Keri explained that Claire — her AI CEO and operating system — is moving beyond business tasks into personal life. Claire can help book hotels, arrange flights, plan meals, order groceries, and manage other tasks that create friction.

Keri described using a controlled Stripe balance so Claire can make approved purchases without having unlimited access to every account. That creates a practical middle ground: the AI can act independently, but spending remains bounded by a specific budget.

The deeper point is that trust is earned through repeated success. Keri does not blindly hand over everything, but Claire has reached the point where she trusts her with many tasks more than she would trust a human administrator.

The panel's model is becoming increasingly clear:

The episode's central AI headline was the collapse in cost. Work that required approximately $500,000 of compute in 2023 can reportedly be done for about $20 today. Whether an agent calls it employees, bots, or agents, the economic consequence is the same: highly capable digital labor is becoming dramatically cheaper and easier to deploy.

The question for agents is not whether to use one more AI app. It is what they would do with an entire team of intelligent digital workers.

Possible applications discussed on the show include:

The biggest mistake agents make is thinking of AI as a search box or a writing assistant. The panel's view is that agents should treat AI as a highly capable team member that can take a goal, work through obstacles, and return with a completed result.

Keri also drew a boundary. AI can handle complex operational work, but some situations should always escalate to a human.

She specifically mentioned:

Keri said the future may require fewer humans overall, but the humans who remain will need to be more capable and emotionally intelligent.

That is an important distinction. AI does not eliminate the value of people. It raises the value of people who can handle moments that cannot be reduced to a workflow.

Tim challenged agents to stop viewing AI as another application they have to learn. The more useful model is a super-intelligent team member that can solve a problem rather than simply answer a question.

A normal software tool waits for a user to click through a process. An AI agent can be given an outcome and then figure out the steps:

Tammy described her AI as her "smartest best friend" because it makes her think more deeply instead of replacing her thinking.

The show compares this to earlier fears about the printing press, calculators, cameras, word processors, and digital maps. Each technology was accused of making people less intelligent. In practice, each one moved human effort toward different and often more advanced tasks.

Keri shared how her attitude toward AI avatars has changed. The first time she saw an avatar of another agent, she thought it looked unnatural, mispronounced the name, and felt uncomfortable with the idea.

Now she uses HeyGen to create market updates across multiple cities. AI studies the data, prepares the video, and delivers the update using her likeness while she spends her time elsewhere. Her team creates 10–15 market segments per month for YouTube, helping support both search visibility and authority.

One real estate professional reportedly uses an AI clone that appears 10 years younger to run her Instagram. Another platform is reportedly being used by more than 13,500 professionals for personalized video follow-up in multiple languages.

The panel's view is that consumers primarily care whether content entertains, educates, or empowers them. If the content is useful, people may not care whether a human recorded every word manually.

That does not mean authenticity is irrelevant. The human still has to decide what to say, what matters, and what the audience needs. AI simply makes the production faster and more scalable.

Dan shifted the conversation from AI tools to housing affordability. The panel discussed how permitting, government processes, construction costs, and supply shortages all contribute to the affordability problem.

One idea raised was that AI could reduce the time and cost of permitting. If a process that currently takes six months could eventually be compressed to six days, that would have a meaningful impact on development costs.

The panel also discussed:

The core problem is not simply that housing is expensive. It is that the market lacks enough homes people can afford. AI may not solve the entire problem, but it could reduce the cost of designing, permitting, building, and managing housing.

The episode also revisited robo-taxis and the possibility that autonomous vehicles become an investment class.

The concept discussed involves vehicles priced around $30,000 that can operate as personal transportation when needed and enter an autonomous ride network when not in use. Investors could potentially buy one or multiple vehicles and earn revenue while the network handles dispatching, charging, and cleaning.

The real estate implications are significant:

The panel's larger point: if transportation becomes abundant and inexpensive, it changes how people value garages, parking, vehicles, and even housing locations.

The conversation eventually moved into longevity and the possibility that AI accelerates treatments designed to slow or reverse biological aging.

The panel discussed the possibility that people may eventually live healthy lives into their 100s or beyond. That raises practical questions:

Tammy said she is not ready to stop working and would welcome the opportunity to continue doing what she loves for longer. Julie said she might finally learn to play the violin if she believed she had enough time.

The deeper lesson is not that anyone should assume longevity treatments are guaranteed. It is that people often make decisions based on an unconscious assumption about how much time they have. If that assumption changes, everything changes — finances, careers, relationships, health, and the goals people consider possible.

The most expansive question of the episode was what happens when AI eliminates scarcity from more parts of life.

Modern economies are built around limited resources:

What happens if AI, robotics, automation, and advanced manufacturing make many of those things abundant?

The panel compared this to the diamond market. Lab-grown diamonds weakened the scarcity model that made natural diamonds seem uniquely valuable. Similar shifts could happen in food, transportation, housing, healthcare, and digital labor.

If scarcity decreases, many social structures may need to change:

The episode does not pretend to have every answer. It argues that agents should start thinking about the changes before the changes become unavoidable.

Start with repetitive, measurable tasks that do not require emotional judgment. Use AI for research, reports, database organization, content production, scheduling, and first-pass analysis. Keep humans involved when the client is emotionally vulnerable or specifically requests personal help.

AI can handle routine updates and prepare reports, but the agent should remain responsible for the relationship. The best model is AI-generated preparation combined with human delivery and judgment.

Not automatically. Consumers generally care whether content informs, entertains, or empowers them. However, agents should review every piece of AI-generated content, disclose AI use where platforms require it, and make sure the message reflects real local expertise.

Use experience as the foundation and AI as the multiplier. A veteran agent knows how to price, negotiate, read a seller, and manage risk. AI can help that agent prepare faster, produce more content, and serve more clients without abandoning the human skills built over decades.

The agents who win the next chapter will not be the ones who avoid AI. They will be the ones who learn to direct it.

The new competitive model is:

The panel's closing phrase was simple: optimize for optimism.

Get into better rooms. Ask better questions. Use AI to make your thinking deeper, not shallower. Build systems that give you time back. Then use that time to become more useful to the people who still need a human being on the other side of a major decision.

— Tim, Julie, Dan, Keri Chris, Kacie, Tammy and Orlando
Hosts, Power House Talk

whylibertas.com/harris
whylibertas.com/dan
whylibertas.com/heller
whylibertas.com/kacie-anderson
whylibertas.com/orlando-montiel

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