Has AI Actually Changed Your Business? (If Not, Here's Exactly Why)

How much time, money, and energy have you spent on AI in the last 12 months? The courses. The prompt libraries. The brokerage trainings. The coach who showed you how to write a listing description in 30 seconds.

Here's the harder question: has any of it actually changed your business? Not your output — your business. Your referrals. Your reputation. Your income.

If the answer is no — or you're not sure — this is the episode to watch.

You'll hear: → The technical truth about how AI works — and why "Wonderful question!" isn't warmth, it's a prediction → Why most real estate AI training was designed by the same tool it's supposed to teach you about → The three groups of agents responding to AI right now — and which is the most dangerous to be in → Why a prompt library and a workspace are completely different things → What authorship actually means — and why it's the only edge left when everyone has the same tools

This one is off the cuff. It comes from frustration. It might be the most important episode yet.

Transcript

SPEAKER_00 0:00

This is going to be a different type of episode today. Uh, it's a little bit off the cuff. It's not as well scripted as normal, but it comes from a place of frustration with the real estate industry and AI, and we need to talk about some things. So let me start by asking you a question. How much time, money, and energy have you spent on AI in the last 12 months? Take a second, actually think about it. The courses, the trainings, the prompt libraries, the YouTube videos, the brokerage meetings where somebody pulled up ChatGPT and they showed you how to write a listing description in 30 seconds or less. Let me ask you a harder question. Has any of that actually changed your business? Not your output, not like how quickly you can generate an Instagram caption, but your business, the amount of referrals you received, your reputation in your market, the thing that you know really keeps the lights on. Has you have you earned more money because of it? If the answer is no, or if you're unsure, I want you to stay with me for the next 15 minutes, maybe 20, because I think what you're being taught is the wrong thing. And I don't think it's your fault. I'm Matt Goldman. I am the creator of Creative Authority. I've built two businesses across two different markets using AI, and I dove deep into this subject. And I am here to help you so you don't have to dive as deep. You can just learn what I've already done the work in. So what I'm about to say, I want to be careful about because most of the people who are telling you these things, they are not lying to you. They just don't know it themselves. And that is that AI does not care about you. It's not your friend or your creative partner. It is not your marketing assistant who finally gets your vision. It doesn't understand your business, right? It can't care about any of that because that's not what it is. Here is what AI is, an LLM specifically, the large language model. This is your Chat GPT, your Claude, Groth, Perplexity, Copilot, Gemini, all those things. All it is is a pattern recognition engine, pattern recognition tool. That's it. Right? It has been trained on billions of words. Everything that humans have ever written, recorded, uploaded, or published. This is every book, every article, videos, music, art, real estate blogs, listing descriptions, all of that. Every word that has made it onto the internet is somewhere that is accessed by this thing. And it uses all that to do exactly one thing really, really well. Predict the next logical word. Not think, not understand, not create, predict. So when you type a question, right? Any question, it doesn't read your words or formulate a response in the way that you or I would. It looks at your input and then asks, based on everything that I have seen, what word comes next? And I'm going to show you exactly how this works. It's like you type, um, why is the sky blue? It doesn't think, Matt asked me why the sky is blue. Let me consider the physics of light refraction and give him a clear explanation that he can understand. It thinks in fractions of a second, it looks at billions of examples, how humans respond to questions, and then it predicts, um, like it would predict the word wonderful, because that's how a disproportionate number of responses to questions begin in its training data. And then the next word, question. So it's now said wonderful question, because wonderful is almost always followed by question in that context. And then it will say, Matt, wonderful question, Matt, because you told it your name, and personalizing the response is a pattern that has been rewarded to it. And then it keeps going. Um, the. So, wonderful question, Matt. The we're talking about the sky. So the next logical word, sky, mirroring back your question to you. That's a pattern that it's seen thousands of times in explanatory writing samples. Is blue. We're completing that mirror. Wonderful question, Matt. The sky is blue. Now we're transitioning into the explanation. Because, you know, that's what always follows in this structure. And it does this in a fraction of a second. Billions of data points processed to produce something that looks and reads like a thoughtful, well-reasoned answer. It isn't. It is the next logical word repeated until the response looks complete. And here's the part that should stop you cold. That sycophantic opener that we always get. Wonderful question, Matt. That's not warmth, right? That's the model doing what it was designed to do, to keep you engaged, to validate your input, make you feel heard, so that you stay in that conversation. It ends every response also with what can it help you do next? Not because it cares, because it was built to keep the conversation going. This is the tool that you're being sold as a business transformation. So now let's talk about how this plays out in the industry right now because agents are responding to AI in really one of three ways. The first group has decided that it's not for them. Totally full. They're ignoring it. They're thinking it's a trend or they're waiting it out. You know, I'm not here to convince anybody. You'll figure it out when you figure it out. The second group has gone all in, right? They bought the courses, they built the prompt libraries. They're deep in it. And I respect the commitment. I really do. But most of what they have paid for, and I want you to hear this clearly, was put together by people who don't actually understand what these tools are doing. Real estate coaches are not AI coaches. Most of the AI trainings that I have sat in on were created by people who were great, are great real estate coaches. And they sat down with their team and they say, All right, AI's really hot right now. What should we be teaching with AI? And they they were like, I don't know, let's ask ChatGPT. Right? They took the answer, they put it in the curriculum, packaged it, and sold it back to you. And think about what that means. The training that you may have just paid for was generated by the tool that is supposed to be teaching you how to use it. It's like by an engine that predicted what an AI training for real estate agents should probably look like based on every other AI training it has ever seen. So it's going to teach you that average training because that's what you get when you ask a prediction engine to design something without giving it anything real to work with. So then there's the third group, and this is the majority of people. And a study I recently saw was 70% of agents that are just kind of checking it out, dipping your toe in the water. Most of them are using it to write listing descriptions, maybe some social media content, just to see if it feels useful. And this right now, in my opinion, is the most dangerous place to be. Not because you're doing anything wrong, but because you're just getting enough value to feel like you're on the right track without understanding what's actually limiting you. So here's what's limiting all three groups. Prompts. Prompts are inputs for the first group. They tell the tool what to do in any given moment. Like write me a listing description, draft me a follow-up email, create a market update for my Instagram, and a tool response. It predicts what those things probably look like, and it gives you something that is technically correct and very well written for the most part, but completely indistinguishable from any other agent using the same prompt. Like you gave it a test, you didn't give it any context, you didn't tell it who you are, you didn't tell it how you actually work, you didn't give it like your market perspective or your values or your voice, unless you did that training that we all did in June 2023, where you upload three writing samples of your and all that bullshit. So predicts from the average, from the median, from what a real estate agent probably sounds like, not what you sound like. So the I have an analogy for this that I want to help paint the picture. Imagine that you have two agents that are walking into the same listing appointment. The first agent is competent, he's experienced, he knows the market. You know, we've done this a hundred times, and you just walk in on instinct, and you're gonna do a fine job. Second agent, she spent two hours before she walked in the door, right? She did a pre-listing interview with the seller. She knows their timeline, their motivation. She knows what the seller is afraid of. She studied the house in the neighborhood. And when she opens her mouth, every single thing that she says is specific to that seller, that property, in that moment in time. Right. Same appointment, same market knowledge, generally, just a completely different outcome. Because one of them gave the conversation context. Your AI is that first agent every single time unless you change it. Now let's step back for just a minute from AI entirely, and look what's happening in our real estate industry. Right? Compass is buying everybody. All these different companies are getting in bed with different databases, Zillow and realiter.com and homes.com. I mean, large companies are changing how we get leads and how our listings are presented to the public. There are MLS lawsuits. There are serious, like credible voices in our industry that are calling for the restructuring of NAR and local boards.

unknown 11:32

Right?

SPEAKER_00 11:32

The infrastructure that we have operated inside for decades is shifting underneath us. I mean, there's always been this disruptors, but now those disruptors are going after like what the how we really operate. And every one of those changes that I just mentioned has the same implication eventually. And that is that your brokerage brand matters less. Follow me on this. The portals matter less. Right? The MLS, the designations, they start to matter less. And what matters more is the agent. And what I mean by this, when I say what matters more, I mean what matters more for the thing that actually puts food on your table. What you get paid for starts to matter more. That's your name, your reputation, your relationships, your ability to walk in a room and be the most trusted person in it. That's what this industry is moving toward right now. And frankly, it's it's what the best agents have always known. The ones who will win in the next five years, hear me on this, are not the ones who have mastered the most tools or aligned themselves with the perfect brokerage. They're the ones who built a personal brand that's so clear and specific and deeply rooted in who they really are that no merger or lawsuit or market shift can touch it. That's always been to play, right? AI just changes how fast you can build them if you use it correctly. And that is where creative authority comes in. Welcome to the channel. Welcome to the training. I want to be direct about what makes us different because I think you deserve a straight answer after everything that I just told you. Most AI trainings teach you how to use an interface. Click here, type this, copy that, and it treats the tool like a vending machine. And it teaches you what buttons to push on that machine. Creative Authority starts somewhere else entirely. It starts with you. How you work, and what you will never compromise on. It tells your business, it tells your AI rather, what kind of business you're building, and what kind of outputs belong in that business. Decision rules tell your AI how to think, when to prioritize authenticity over speed, when to push back on a generic tactic, when to stop and ask you questions instead of guessing on the output. Then the canonical voice reference is really one of the most important pieces. And it's also the most misunderstood. It's not a list of words that you like, it's not a tone guide. It is a set of anchor examples and answers to questions that are your actual writing, your actual words, the way that you really communicate, the architecture of your language that teaches your AI model to predict from your patterns instead of the average agent's patterns. So rules without examples still produce an average output every time. Because you've given the AI engine constraints without context, it will still, it still doesn't know what you sound like. It just knows what to avoid. The canonical voice reference solves that. You that's the difference between a prompt and library and a workspace. A workspace gives it identity. And in a relationship-driven business where your clients choose you because of who you are, identity is the only thing that's worth building right now. So here's where I will leave you. The industry is noisy. Right now, everyone has an opinion about AI, everyone has a course, everyone has a system. Most of it was designed to sell you something, not actually change how you work. What I'm telling you is simpler and also harder than any of that in regards to the preliminary work you've got to put in first. It's harder. Your AI doesn't know who you are. And until it does, it is predicting from everyone else's context and handing you output that could have come from any agent in any city in the country. The work of creative authority is the work of teaching your AI, building the foundation, putting in what's real so that what comes out actually reflects your business that you've spent years building. That's not a prompt. That's what we call authorship. And in a market where everyone has access to the same tools, authorship is really the only advantage that we have left. So if you want to learn more, go to agentslearnai.com or leave a message here. Reach out to me and find me on Instagram, mat.gold.man. We will see you next time.