Robert Wensley: You you know what kind of impact it's had? Just the last few weeks, offers are up 40%. We just broke the record. Most offers ever in Invest Slope history. And we were at Carlos and Reyes' office Mhmm.
On Friday, and they had a deal. They put up on Invest Slope, just got, like, two or three inquiries. Nothing real serious. New Western is asking $5.35. I think we could sell this, like, $5.50, but let's put a $5.60 by now.
We let it rip, and, like, in the first fifteen minutes, there's only, like, three leads that come in. Mhmm. None of them answered the phone. I'm just saying they're sweating because, you know, Carlos and Sal, big influencers. They've been with us since day one, And then all of a sudden, it just hits real the Jif buyers because the AI knows the fingerprint
Steve Trang: of what a real buyer
Robert: is versus a fake buyer. Every single call is, like, someone that wants to make an offer. And we get the first offer. It's, like, $5.70. And then we get another offer of $5.95.
We ended up selling that deal on five phone calls for 610,000. I just did my first $100,000 assignment Yeah. The first time I ever used the product.
Steve: Hey, everybody. Thank you for joining us for today's episode of Disruptors. Today, we have Robert Wensley with InvestorLift, and he's now a local Scottsdale resident.
Robert: Oh, yeah.
Steve: And he's here to talk about how he's bet the entire future of investor lift on AI. Guys, I'm on a mission to create a 100 millionaires. The information on this show alone is enough to help become a millionaire In the next five to seven years, you'll take consistent action. You'll become one. And, guys, if you get value out of the show, please hit that subscribe button.
Please share this with your friends. That way we can create more millionaires. You ready?
Robert: Oh, yeah. Let's break the internet again. I think the first time I came on the show, I think we had, like, 40,000 views.
Steve: The first time you came out, it was bonkers. And I think we're close to a 100,000 views now, like, after all this time. So yeah. Wow. It was one of the best episodes.
And, there have been a couple that have done well, but that was definitely one of the top three episodes, I would say.
Robert: This one's gonna be way bigger. This one's gonna be way bigger.
Steve: The only one that, you know, is, like, is the only one that's hard to knock off is that Max Maxwell.
Robert: Max Maxwell. Like, come on.
Steve: He's the only guy that's hard to knock off.
Robert: The legend. I know.
Steve: But, yeah. So, like, last time you were here Yeah. We were talking about using AI. Right? And then
Robert: I jumped the gun on that episode. I was like, yeah. It's launching in a month. Mhmm. Yeah.
And Turns out AI is a lot harder than you would expect. Yeah. I mean, there there's, like, machine learning and then there's, like, real AI. Like, if you wanna, like, actually build something that works, and we were thinking what we're, like, thirty days away Mhmm. From having something and, like, we just ran into all these issues because, like, the guys weren't really building really high.
They were doing machine learning, which is basically, like, a a fancy way that mathematicians and computer scientists Mhmm. Sell linear regression to business people.
Steve: Yeah. Well, I can't remember who was on the show, but we were having this debate. So I was like, well, there's a difference between machine learning and AI. They're like, no. It's it's all of a sudden.
I was like, it doesn't really
Robert: technically, AI AI is like a subset of machine learning. I mean, it depends. Everyone has different definitions. Right. But, like, what we we tried doing, like, the conventional approaches of, like, machine learning.
It just doesn't work. Mhmm. It does not work. You don't you just get like, we just kept on getting the same buyers recommended over and over and over again. And, like and and I didn't wanna put out something that wasn't gonna be, like, game changing.
Yeah. I got over my reputation online. We we put out some gangster shit over the years. I'm like, if we're gonna put out an AI, it can't just be, like, incrementally better. It's gotta be, like, change the entire industry.
Steve: Well, the show is called Disruptors. Right.
Robert: It's gotta be Disruptors level. So I jumped the gun on that podcast. Probably about six days later, fired the entire team. Really? Brought in some real AI engineers.
Steve: Well, I mean, I think there's something to be said. Right? Like, the difference between machine learning and and AI, like, machine learning is just regression. Right? It's looking at the data.
Okay. Based off previous data, what can we go where can we go with this? Right? Yeah.
Robert: You're hard coding, basically. It's like, are you hard coding, or are you billing what we're working on right now is actual real neural networks. You're not coding them.
Steve: Yeah. But I think just to like, right now, you know, I drive a Tesla. Yeah. You drive a Tesla. Right?
Elon Musk was, like, completely wrong, consistently wrong over and over again. It was, like, full self driving is right on the right right there. We're almost there. We're almost there. We were almost there for, like, six years.
Yeah. Right? And now it's finally here. Yeah. And it's pretty cool.
Yeah. Right? Like, it still blows my mind whenever I use it.
Robert: It's incredible.
Steve: Right? But he was like, we're right there for six years.
Robert: Yeah.
Steve: And so I think
Robert: So fourteen months is not too bad.
Steve: It's not too bad. Not
Robert: too bad.
Steve: So, like yeah. So you you fired the the the Yeah. Quote, unquote AI team.
Robert: Got got a really brilliant actual AI engineer.
Steve: How did you find an AI guy?
Robert: Shout out to, Quan, my recruiter.
Steve: Uh-huh.
Robert: He found him. The guy Bryce Forrest, he was doing research at the University of Nevada. Mhmm. CIA was trying to recruit him. Actually, the CIA just called me last week doing a background check from him.
It was it was just like, this is special agent, whatever. He's having too much fun now. CIA is not getting him. Mhmm. Bryce, don't go anywhere.
Yeah. And then, I just recently brought in, one of the greatest data scientists that I've ever ever met in my life. His name is Kyle Pollock. He runs what I think we we did some work together about, like, ten years ago. We were trying to do open source datasets for real estate.
Didn't work out, but, he runs the Data Skeptic podcast, which I think is the best data science podcast in the world. He's been doing that for about ten years. Brilliant, brilliant AI engineer. Degree master's degree in artificial intelligence from the University of Chicago, one of the top AI programs in the world, and, you know, it's been doing AI for ten, fifteen years. So, with these two guys, our engineering team, we went completely away from anything, like, hard coded Mhmm.
To real neural networks Yeah. Where you have inputs and you have outputs, and you have, like, what we call a reward function. You know? So how these neural networks work is, like, you don't program them. You have a reward function.
Like, imagine if I had a picture of a cat. Mhmm. K. And then the neural network, it tries to predict what it is. And every time it's not a cat, it gets negative one.
Mhmm. And And then when it eventually says, oh, this is a cat, it gets plus one. Yeah. There's a reward function, a positive or negative feedback loop. And then you can just feed it billions and billions of images.
Mhmm. And eventually, it'll figure out what a cat looks like. Like. It'll figure out what a dog looks like.
Steve: Is that someone like someone has to manually click it's an it's a it's a cat?
Robert: No. You do have a training set. Right? Okay. You have a training set.
So, what's cool is the AI we built first of all, let's talk about some numbers. We opened it up in beta. So this is beta. It's not full blown. We already have versions that are much more powerful.
Mhmm. But the beta, I was like, okay. Screw it. Let's release it. We opened it up to a few accounts, like, two, three weeks ago.
Mhmm. And then we've been solely unlocking it on more and more accounts. Obviously, the customers have been with us the longest to get every all the new toys early. Sure. There's been some people actually that have been messing around with it for a few months.
Yeah. And, I've been messing around with it for a few months, not actually, like, sending deals out through it, but just getting Excel spreadsheets from my engineering manually calling. I do it once a week on Dispel Live. And it started getting, like, pretty impressively good. I was like, alright.
Fuck it. Ship it. Mhmm. Like, let's put it out there. And, we put it out there, and
Steve: you you
Robert: know what kind of impact it's had?
Steve: No. Go for it.
Robert: Just the last few weeks, offers are up 40%. We just broke the record. Most offers ever in the vessel of history.
Steve: Yeah.
Robert: It's incredible. And we were at Carlos Ramirez's office Mhmm. On Friday. They asked me to come by and, like, show them how to use the AI, which is pretty simple. Just click a button.
And they had a deal. They had our contract for $5.10. Yeah. And they put up on a vessel. I've just got, like, two or three inquiries.
Nothing real serious. New Western did offer them $5.35 for on it. And I was like, we have New Western is asking $5.35. I think we could sell this, like, $5.50, but let's put a $5.60 by now. See if we if we can make a 50 k rip and get that on camera.
Steve: Mhmm.
Robert: That's a pretty good one. This is my first time actually using it in the car. Footage. Yeah. Yeah.
So we let it rip, last Friday. And when we let it rip, initially, I was nervous because I've never actually used it in product. This is my first time using it in product. And we've been working on this actually for, like, five years. Right.
Yeah. Like, fourteen months, that's just, like there's so much work that needs to be done building the datasets first. That's just, like, the last part. So we let it rip, and, like, in the first fifteen minutes, there's only, like, three leads that come in. Mhmm.
None of them answer the phone. It's just crickets. I'm saying they're sweating because, you know, Carlos and Sal are big influencers. They've been with us since day one. I'm like, holy shit.
I'm about to embarrass myself from these guys. Oh, you're
Steve: saying betting your future company here.
Robert: Yeah. Because I hyped it up a lot. I'm like, yeah. We have AI. Like so I'm sitting there on my phone texting my AI engineer, be like, can you just run this property for me and send me back a list so I can at least outbound dial and, like, hopefully, like, salvage this somehow?
Mhmm. He sends me back the list. I get, like, one or two calls in.
Steve: Mhmm.
Robert: And then all of a sudden it just hits. Yeah. Yeah. It just hits, and the leads just start pouring in. Every single buyer is they're not in the easy channel.
They're all wholesale. They're real legit buyers because the AI knows the fingerprint
Steve: of what a real buyer
Robert: is versus a fake buyer. Mhmm. It's like every single call is, like, someone that wants to make an offer, and we get the first offer. It's, like, $5.70. And then we get our offer of $5.95.
Steve: Mhmm.
Robert: We ended up selling that deal in five phone calls, fifteen minutes on the phone Yeah. For 610,000. We made a I've never actually personally done a $100,000 assignment. I just did my first $100,000 assignment Yeah. The first time I ever used the product.
Wow. It's incredible.
Steve: Yeah. It's pretty good to have Carlos and Sal in there. Yeah. Yeah. Good case study.
Robert: By the way, if you wanna see the footage, we can give you somewhere. Check it out on the Yeah. We'll put it in the we'll
Steve: put it in the description. We filmed
Robert: the whole thing. It's incredible.
Steve: So you're saying you just push a button. So, like, is what exactly is happening when you push the button until you had those conversations?
Robert: Yeah. So no one will ever build an AI like this ever again. Mhmm. Because to be able to build an AI like this, the only way to make it actually work like that where it's not just twice as good or 10 times good, it's, like, literally, like, just mind blowing way better, 100 times, thousand times better. The only way to do that is to use a neural network.
Mhmm. K? You can't do, like, linear regression stuff. We've tried that for years. It doesn't work.
Yeah. So you have to have a neural network. We just got our first NVIDIA GPU. Mhmm. Now we're, like, every night, it retrains on NVIDIA GPU.
Okay. Shout out to that guy, the CEO of that company. He's the guy that made this all possible. You couldn't do this a year ago, a few years ago. So you have to use a neural network.
But the thing about a neural network is, like, you know, like, cat example. Mhmm. You can't just have a data set with, like, a million data points or even 10,000,000. Like, you need billions Mhmm. Of data points.
Right. So when I first built investor lift, one of the things I did is we started tracking all the buyer behavior, every click, every action, how long they spent on a deal. Did did they make an offer, did they submit an inquiry, what was the text on that inquiry, all the property characteristics. We also enriched the properties with external third party data. So we're sitting on terabytes and terabytes of data.
Mhmm. Billions and billions of data points. And, you know, one of these CEOs called me up the other day. He said, like, well, like, can you explain, like, what the benefit is of AI? So I said, imagine this.
Imagine I called you up. Mhmm. So let's say I call you up, Steve, and I said, hey. I got this disposition manager that I think you should hire. Yeah.
You say, okay. Why why should I hire this guy? Mhmm. So, well, this disposition manager has magical powers. He actually single handedly sold every single deal in Investo of history, earned $3,700,000,000 for wholesalers last year, and he has perfect memory.
He remembers every single offer, who made the offers, when they made it, every lead even he remembers, every interaction that's ever happened by any buyer in the history of investor lift. He has perfect recollection of all of those. That's what the neural net gives us. Gotcha. So you can take any property.
Mhmm. You fired up in the neural network. We don't even know how it works. It works like a human brain. It literally works like a human brain.
But it like, we have this whole bandwidth problem as humans. We talk just a few bits a second, like, one sentence just a few bits. Mhmm. It can process through terabytes of that data Yeah. In a fraction of a second, spit out, here are the best real buyers for this deal.
And then instead of sending out 10,000 emails Mhmm. On a deal to try to get one buyer, we're now can go target a 150 buyers that are real buyers. AI will micro target those. Mhmm. So for example, another interesting data point, you know, text messaging would typically get six to 8% click through rate.
Steve: Yeah.
Robert: The last deal I looked at just before a company over here had a 60% click through rate. Wow. Wow. 10 x. Yeah.
So and then now you don't have to go filter through all the bullshit fake leads. You can just go with, like, every buyer's real low.
Steve: The most likely buyer. Well, I think one of the things that because you're talking about billions of business data points. Right? Like, what does that mean? Like, people are listening.
Like, what does that mean? And I think one of the things that, if you look at Tesla, again, going back to this example, as a car company, it's not about the cars. I mean, like I said, I drive them.
Robert: I love them. The BMW has a way nicer interior. A Mercedes Benz is
Steve: a far superior car. Right? Like, the joke I always make or it's not even joke. The commentary really is, like, Mercedes is a car company. Tesla is a technology company that makes cars.
Yeah. Right? And so, like, what is Tesla's advantage? Because they don't even they don't even patent. They just Yeah.
Come with ideas and just open source it.
Robert: Open source it.
Steve: Right? So what is their competitive advantage then? Is all the data AI. From every Tesla on the road since the first one just tracking all this data and just feeding their their servers. Yeah.
Right? And then, you know, potentially trillions of data points at this point. Right?
Robert: Oh,
Steve: yeah. Right? So when you're talking about, like, this competitive competitive advantage is that in the same way that Tesla can't be caught because there's more Teslas on the road than any other car that's, you know, reporting data. Yeah. You're you're you're saying investor lift has more data than anybody else, so there's no way
Robert: No no one could ever compete again. Like, it's game over. Yeah. Like, there's a bunch of knockoffs that hit the market with these, like, little toy products. Some guys were, like, trying to breach data from our systems.
We'll probably sue them into oblivion. Mhmm. These are people that just straight up copied what we released, like, four or five years ago Mhmm. And then put some bullshit, like, oh, we're doing AI. They're not.
Yeah. Customer. I built GodMode myself. I coded up the first version. They just copied what I did on GodMode, and then all they did is they put a fake label on it saying AI.
Alright. Okay. Alright. Like, explain to us how the AI works.
Steve: There are a lot of companies that are doing that.
Robert: Benefit of the the the doubt. Like, if you are claiming that you have AI, explain to us how the AI actually works Yeah. How it trains, what the feedback, what the reward functions are. If you're just exporting a list, is there a feedback loop? No.
Absolutely not. There's no feedback loop.
Steve: So going back to this, like, as a user Yeah. Right, I have a property. I locked it up. Yeah. I go and invest it.
If I upload it, do all the this stuff. Right? So I just click a button.
Robert: Click a button. AI handles the rest.
Steve: What is AI doing exactly before I have to do another action? Obstacle I hear from newer wholesalers is finding buyers for their deals. Because unless you've built a massive buyers list or have a huge dispo team, you might struggle to move your deals. So when we started working with InvestorLift, we've been able to reach new buyers and sell deals faster at higher prices. We can see buyers in our area, their contact information, and with the new AI capabilities, connect with the buyers most interested in our deals based on the algorithms.
We can also see who's clicked on our deals, how many pictures they clicked on, and how long they spent looking at it, and finally, what actions they took after engaging with our deals. We are now connected with thousands of buyers in our markets, and we now know exactly where we are with each deal and what next steps to take. If this sounds like something that would resolve or help your dispute process, I highly encourage you, go to the website, put in disruptors for 10% off so you can focus on locking up deals unless I'm worried, stressed, and frustrated about finding buyers.
Robert: So it is going up into the renewal network. Mhmm. It is looking at every buyer interaction that's ever happened over the last five, six years on a master lift, and it is giving every proper every buyer in the database a score of how likely they are to purchase your property. Gotcha. And then what it's gonna do is it's gonna create a list of those from most likely to least likely.
Steve: Mhmm.
Robert: Chop the top of that list, and it's gonna send them a text and a email saying, hey. We got this deal that we think might be a good fit for you. Yeah. And and then discuss, send it out. And all you gotta do is sit there and just call the leads as you come in.
Steve: So it's doing the outreach. So not just the scoring, because, like, we've seen scoring. Right? Like, we've gone in there and invested it for years. You already have this.
It's like, here's the buyers most likely, and here's the score. You go in there and call them.
Robert: Yeah. Our scoring sucked. It was our scoring was hard coded. There there's there's now we're way beyond that. Like, all everything we've done is going in the trash.
Steve: Yeah. Well, I'll just talk about that in a second. So in this instance, real time scoring.
Robert: Mhmm.
Steve: Right? Really instantaneous scoring. So you're scoring it, and then it's sending an email, sending a text mess it's cracking the email, crafting the text message, sending
Robert: it Mhmm. And
Steve: then people that reply now go get fed into your system Yeah. For you to have to pick up and call. Yeah. Like, can they just call and sell it for us?
Robert: And then the well, we can start we can get get into that, like, where we're going with this. But, the next version too is gonna look at what channel do they like. Like, we introduced the mobile app. So some guys just, like, DM ing on the mobile app. Yeah.
They love that. Some people like texting. Some people like emailing. Everyone has their preferred channel. Mhmm.
And, also, there's they're very consistent in what times of the day they go and they analyze deals. Mhmm. So the next version is not only gonna predict who the best buyers are, but it'll predict which channel to reach them on and at what time of the day it should reach them on it. Yeah. So you're not gonna get that, like, quick hit Mhmm.
Right away, but you'll get much better results. But, like, over the course of twenty four hours, your campaigns will will send, and it'll send it at the optimal time on the optimal channel. Now the cool thing about AI too is it works both ways. So neural network, you can say, you know, show it a picture of a cat, and it you train it, and it spits out the word cat. Mhmm.
But, you know, these, like, image generators, what they did is they just took the neural networks and threw them in reverse because you get they work both ways. So not only can we predict who the best buyers are for a deal, but with the mobile app the mobile app, every single buyer's gonna have its own personalized AI. Mhmm. We've already trained them for every buyer. So every all 5,700,000 buyers all have their own personalized trained AI based on everything that they've done on or off of Investor Life.
And that is gonna start rolling out into the mobile app, where when you come into the mobile app, every day, it's like, here's your AI deal recommendations. Just kinda like Netflix. There's deals that
Steve: that you like. Deals you might like.
Robert: Deals you might like. And then, Well, it's
Steve: kinda like you're like, the very first time you're on, you're talking about, like, Facebook's created this profile for all of us, a ghost profile. Yeah. Every single one of us. Yeah. So now you've got
Robert: Yeah. We're scoring everything off of InvestoF too. So it'll also look at the data, the tax record data, and score tax record data as well and bring you wait the the new system is just gonna be a Kanban board.
Steve: Mhmm.
Robert: You'll have inbound leads as they're coming in from the marketing campaigns, but then also you'll have outbound that we're looking at, like, the data from for guys that use Artemis mode or God mode. It's gonna analyze all that. Instead of having to slice and dice through, like, millions of data points and try to find buyers and skip trace them, it's all gonna be done for you, and you just here's a list of your top outbound prospects.
Steve: Right. So, basically, you upload a property, put some photos in, publish. What's the what's what's the final button you hit?
Robert: Click post. Click post.
Steve: Right? So from there, we don't have to do the God Mode thing. We don't have to do Artemis. It's
Robert: all going away.
Steve: It's all
Robert: going away. So
Steve: you're just throwing almost everything out the window.
Robert: Knowing that everything we've built, the entire coast a lot
Steve: of money.
Robert: Tens of millions.
Steve: Right? Because, like, you not everyone knows about this. This conversation is you and I have you and I tried in in private. Right? But, like, when the Russian invasion invasion occurred Yeah.
You, basically transported your entire dev team out of Ukraine to the Dominican Republic. We smuggled them
Robert: all out.
Steve: Yeah. Yeah. You're committed to this.
Robert: Oh, yeah. And now everything they've worked on, gone. Starting from scratch. Subsly.
Steve: Yeah. Current
Robert: version. So next month, you'll see a toggle switch at at the top of Investlifts. It'll say, do you wanna use Investlifts Classic or Investlifts AI? Mhmm.
Steve: AI, by
Robert: the way, it's called Iris AI. Iris AI. Named it after my daughter. A little homage to Steve Jobs.
Steve: I was gonna say, that sounds like a Steve Jobs thing.
Robert: Yeah. But it also is, like, it's the perfect name if you think about it because it's like the all seen eye. We have we have a bot and spam detection system that the engineering team built internally to, like, try to flag people, like, trying to pull data and shit. We call that Sauron, the eye of Sauron. If you guys watch the other language, you probably get the reference.
So they're like, can we call it Sauron? I'm like, yeah. But it doesn't really work because, like, not everyone's seen Lord of the Rings, but we go Iris. Mhmm. Iris is great.
It's like the all seeing eye that sees everything that anyone has ever done in real estate.
Steve: Yeah. The all knowing.
Robert: Yeah. Yeah. So we're here's the focus. If you really break things down, if I'm trying to dispo a deal, I don't care about the map and user interface on God mode. I don't care about, like, seeing every single data point and making sure that every single flip is like, all I care is give me a list of buyers.
I wanna call those buyers. I want them to answer their phone. And when they answer the phone, they're gonna say, are you interested in the deal? And I want them to say yes. Yeah.
That's what this does. Right. And if if it does that, then everything else can be stripped away. And then now the training, the time it takes to activate this position manager and make them successful, this has been our biggest challenge at Investliff. This system was so complex.
Mhmm. A guy like me could come in and sell a deal in two hours. I do it every week. But then you put a brand new discipline manager and they
Steve: have no clue.
Robert: They're doing a learning curve. Huge learning curve. Yeah. There's a lot of strategies, and the AI just does a little strategy for you. Yeah.
So all you gotta do is pick up the phone and dial,
Steve: more or less dummy proof it. And so you put any just about any sales guy with some real estate experience in there.
Robert: Mhmm.
Steve: And they can move the deal. Yeah. So let's talk about, some of the challenges. Right? So we talked about so you're here.
You're ready to go. This is it, and you fired the whole team. Yeah. You brought you brought on two engineers, and then you rebuilt everything in the last basically twelve months. What were some other surprises along the way in in in doing this huge transition?
Robert: Well, as we're, like, focusing more effort on this, of course, that was gonna slow down development on some of the other features and functionalities that we're doing because you can only, like, focus on one big thing at a time. So, like, you know, there's been a lot of customers that have been asking for updates on Artemis mode and updates on God mode and, like, all this. And, I'm just like, no. We're we're betting the farm on AI. Mhmm.
Like so, of course, when people don't see stuff releasing that they're requesting, they get pissed off and then they turn. So and then we have these, like, knockoffs in the market, which I mean, they're not real products. So I'd look at them as, like, toy products. Mhmm. Mhmm.
Not anywhere. Now that we have the ad, like, it's game over. But I I we just basically bought the farm on AI. Just all guns blazing. Yeah.
All my this is a stop development on our site. Like, we just released the new buyer site. It just came out yesterday. Incredible. Way cleaner.
Way more modern. It's just it was actually my last code that I ever wrote. I I programmed the front end buyer site in one night five years ago. And, finally, yesterday, my last code has been removed from the best lift. Yeah.
But I'm really happy about it because it was super outdated. So we, like, really just try to prioritize a few, like, key projects that would really just completely disrupt industry. And so the three projects are, number one, matching deals with buyers. Mhmm. Number two, matching buyers with deals.
Those happen to be one algorithm that just goes both ways. Mhmm. And then the other thing was deal scoring. K? Because to get these neural networks to really kick off, the more you feed them, the smarter they get.
Remember when the first chat GBT came out? Mhmm. Yeah. It was pretty good, but you can kind of, like, tell that it was written by AI. Like, it wasn't, like, fully human.
Like, it almost kinda passed the Turing test, but wasn't, like, quite there. Now you fast forward a couple years, like, there's you can't tell. Mhmm. It rates better than the New York Times columnist. You know?
Like, it's the best in the world. And they get a lot smarter as you feed them more and more data. Right? They're super data hungry. So we also did something in December that, this is actually a recommendation that the founder of Gmail gave me.
So the first guy that ever looked at investing in investor lift was Paul Bucknight, the founder of Gmail. He created Gmail. He was number 11 at at at Google. He created the whole slogan for go Google, don't be evil. He was the one that that created that.
And then also then after Google IPO, then he went over to Facebook, was, like, employee number 20 something on Facebook, created Facebook news feed. Mhmm. Guy is brilliant. And when we first met with him, like, years ago, he's like, Robert, it's incredible the success you've had, but you're you're an idiot. I'm like, why?
He's like, you're trying to sell this like it's Salesforce. It's not Salesforce. You're like Uber. Yeah. You're like Airbnb.
You're a two sided marketplace. Why would you restrict supplier demand on your side? But putting your price on one side or the other, like, you're just restricting supply. Yeah. The value of marketplaces follows something called Metcalfe's law, which means is you double the amount of supplier demand units on either side of the marketplace, the marketplace value doesn't double.
It grows at the square root. Right. So it'll actually contribute Yeah. Quadruple. Yeah.
So, I'm like, yeah. I know that theoretically, but, like, I just need to fucking fund this thing. So if you wanna give me a few million bucks, sure. Like, I can make everything free tomorrow. Mhmm.
So he came up with some strategies on alternative ways to monetize other than SaaS. Mhmm. And, last month, we had a actually, in December, we had a $100,000,000,000 company reach out trying to acquire us. We get inbound a lot, but this is a $100,000,000,000 company. So this You're listening.
So we start meeting with investment banks, to talk about what we should do. We decided not to move forward on it because we know the AI's coming. They're still gonna want us a year from now. And the big thing was, like, yeah, just grab all the market. Because if a $100,000,000,000 company buys a company like ours, like, they don't care about $2,030,000,000 dollars of revenue.
That's just like, they care about is, like, if I take this machine and I plug it like, imagine Zillow. Okay? So Zillow, they don't have a really good way to sell these distressed assets. Realtors don't have a good way of selling distressed asset. But if you're sitting there with Zillow and you're like, oh, I can now give every realtor in America the ability to sell these trap houses that they couldn't sell before that just weren't worth the hassle.
Mhmm. Like, now you take that company, you plug the Invest Lift into something like that, also is way more valuable. Also, it's worth billions of dollars. So they're like, yeah, don't focus on revenue. Don't forget about revenue.
Like, still get some revenue, but, like, just grab the entire market. So, the challenge there is as you open up and you make the supply side unrestricted, you tend to get flooded with local ideas. Like, look at my house deals. Remember, like, five, six years ago? That was, like, the highest when it was just the big guys I knew about it, it was a it was a great deal site.
And then people started finding out about it, and then, like, the marketplace got flooded with junk deals. So we actually built a free version of InvestoLift a year ago. Right. And we've been sitting on it because I knew before opening that up, I need to solve deal quality. I need a deal quality AI Mhmm.
That can analyze deals so I can shield the good buyers from junk deals. You can post them. Doesn't mean any buyers are gonna see them. But if it's a great deal, then we wanna start augmenting that and showing that to a lot of buyers just like Instagram. You know?
If you post something on Instagram, they're gonna show it to 5% of your your friends. Mhmm. If you have high engagement, they're gonna show it to another 5%, another 5%. Yeah. If it rips through your friends list and everyone's engaging with a lot, then it'll start going to your friends' friends.
Exactly. And that's how you go viral. So so we started building algorithms like that. And then, finally, we had this breakthrough on deal quality Mhmm. Like, literally in December, where we're like, holy shit.
We just figured out how to calculate deal quality pretty accurately. It's, like, 90% right now. It's not a 100%, but it's about 90%. So I finally was like, okay. Let's go bring on some companies to a pilot of a free version of Esler to see what that would look like.
And I opened it up for five days, and we had, like, just shy of a thousand companies on the system. Like, so five years, we brought on about a thousand companies. And then in, five days, we brought on two and a half thousand companies. Wow. So massive increase on the supply side, which now the on the free version, you're not getting buyers.
It's like, you know, the phrase bring your own beer. Mhmm. Bring your own buyers. Yeah. K?
So, if you're sitting with the, like, a pro account or a falcon or a lieutenant or a cartel, you wanna keep those because those have those come with buyers. But at least opens up the ability for people to access the marketplace. And if they have a good deal, it can get some traction. And there's been so many success stories that people have came in. They signed up for the free version, like, the same day.
They made $50,000 on it. Yeah. I got you got those texts all day long. Mhmm. And then we unleashed the the deal quality AI last week.
Mhmm. And it's really good.
Steve: Yeah.
Robert: It's really good. So we're still working on the last 10%. I was already on a call with my manager on the way over here. Right. We're starting to enhance with more, like, third party data, demographic data, US Census Bureau data, like, external datasets to, like, augment it solve that last 10%.
So those are the the three things. So, like, get good deals for good buyers, get good buyers for good deals, and then introduce some sort of deal quality mechanism to filter out the junk and just make sure that it's the good stuff that's transacting.
Steve: Only the cream right to the, right to the top.
Robert: Yeah. And by the way, we we can do something here. For people that are watching this, I'm gonna open up free a free version of Investo Lift. I'm gonna give you a link. You can post it.
Alright? And that I'll give a thousand licenses a thousand free licenses to anyone that's watching this. Alright. So a thousand First come, first serve.
Steve: So only a thousand are gonna be are gonna get this. But free license to InvestoLift Yeah. The this newer version.
Robert: Yeah. $600,000 of free licenses.
Steve: Yeah. Alright.
Robert: So
Steve: there you go. You're welcome. Just paying attention. Drop me
Robert: a comment if you appreciate that. Yeah. You should have liked.
Steve: Definitely comment on that. But yeah. So I think that's gonna be huge. Right? So, having access to it right off the bat and especially talking with AI and everything else.
Mhmm. Because if I have the mobile app Yeah. And this deal gets posted to investor lift, I'm gonna be notified by it. And I can reach out to that. Yep.
That buyer, the wholesaler. Yeah. Yeah. That's huge. So I think there's a few different things.
I mean, there's we talked about a lot here. I think one of the things we, is always interesting Yeah. Is AI has been trending for a little, like, about a year and a half now. Yeah. And there have been so many AI companies.
Right? Like, our CRM does this AI, and then this company does this AI.
Robert: 90% of it's fake. It's just marketing. The marketing team is just saying that they have AI because they don't. And then they and then they go to tell the engineers, go build it. Alright.
Steve: It's it's kinda like a keto. Right? Like, for a bit, like, everything was this keto bar Yeah. Keto this, keto that. And you look at it, it's like, there's nothing keto.
Yeah. About this keto pizza is like, this kinda violates all the the the principles, right, of of keto. But then so AI has changed a lot. Mhmm. Right?
In fact, AI has changed so much. I actually had a conversation with my marketing team on Monday. I was like, hey. We're gonna change some of our marketing strategies because I don't know how much longer as a sales trainer do I have an edge on AI. Mhmm.
Robert: Right? Like, that gap is closing.
Steve: Yeah. So we're gonna strike it. We gotta strike now before, you know, we become, a lot less relevant.
Robert: Yeah. Right? I I think industries like sales are actually a little bit more shielded. Like, high ticket sales is shielded. For now?
Steve: For now. For now. Right? But I'm saying, like, we're talking, like, a twelve to eighteen month window.
Robert: I don't know. In twenty four months, half the jobs are just obsolete.
Steve: Yeah. That's what I'm saying.
Robert: Like, people don't know how fast. Because now we have agents. Like, once the the agents are unleashed
Steve: Mhmm. We had, we had Michael Franke. Right? He was on the show Yeah. A couple weeks ago.
Right? And he's using AI to pull all the data. Right? All the foreclosure data, all the cost all across the country. Public data.
Not even like Yeah. Secret data. Like, all the public data is just using AI to pull all of it in all 50 states. Yeah. Right?
Put into a database, skip trace, organize it, make it look good. Right? And he's done everything he can't except for the outbound touch.
Robert: Yeah. We we've actually been piloting, running a pilot on that Right. Where we, like, created a AI bot that actually prequalifies sellers. It's not bad. Yeah.
Like, it it's above breakeven. It's just kind of like a little side project that we're like, let's let's see what happens here. Let's see how good this thing is. But it actually is net positive. It's buying and selling houses It is.
With no humans.
Steve: Well, that's what I'm saying. Like, we're getting to that point now where we can pull all the seller data.
Robert: Yeah. We just did a house literally, like, two days ago.
Steve: Yeah. All AI. All AI. Right?
Robert: Like, there there's no sales reach on there. So I did some AI agent talking.
Steve: Yeah. So we're, like, right there. That's what I'm saying. I got twelve to eighteen months. That's kinda how I'm looking at this.
Right? I mean, fortunately, I got other things. Right?
Robert: Because
Steve: we've talked about sales performance, how to optimize people's sales skills, Salesforce, and so on.
Robert: Well, high ticket sales will be protected, I think, because what's gonna happen is, like okay. So for, like, the last couple of decades, what has become really valuable in the marketplace is, like, the engineering, math, physics. Like, if you're an AI engineer, you're a computer scientist, like, you're crushing it. Yeah. You know, guys straight off college making 400,000 a year.
Yeah. That is gonna get disrupted a lot quicker. You can now go and with zero programming skills build Pretty good. IPhone apps.
Steve: Yeah. Yeah. It'll write
Robert: all the code, and it'll write perfect code. It won't make any mistakes. Right. And then you if you don't know how to, like, stand up, like, Python stuff, you can be like, oh, like, chat g p t, tell me how to, like, stand up Python. It'll be like, okay.
Go into terminal and Mhmm. Tip install node or what you know? And it'll actually you can like, people with zero coding skills can can actually start building technology apps. The CEO of Salesforce, Mark Benoff, just went out and
Steve: they're there.
Robert: He's like, we're not hiring any more engineers because our engineers have increased their throughput by 30% in a single year. Mhmm. Mark Zuckerberg just went out and said, we on Joe Rogan, he said, we now have an internal system that will write code better than our junior and mid level developers. Mhmm. And so I think, any there's gonna be a lot of downward pressure on people that are working in tech unless you're the very best.
The very best will be protected Mhmm. Because you're gonna want but they're gonna be using these to do 90% of the work. Of course. One engineer with an AI can now do the work of 10. On sales, Salesforce's new AI tools are incredible.
Steve: Mhmm.
Robert: Incredible. We we're using them, Einstein AI and all this stuff. Just it tells us the probability that a customer is gonna turn two, three months before they actually turn. It's incredible. But it's gonna handle a lot of, like, the busy stuff.
Salespeople are salespeople are really bad at taking notes, filling in fields on the CRM, scheduling follow-up calls, next steps, next action steps. Mhmm. All of that all that shit that salespeople are really bad at is all gonna shift to the AI.
Steve: We're doing that now. Yeah. We're doing that now. Right? Like, someone jumps on a call, like, we use GoHighLevel and we use Fathom.
Yeah. So if you call from GoHighLevel, it's already automatically transcribed and printed in notes. Yeah. If you call from Fathom, now we're using Zapier to pull that cell summary Mhmm. From Fathom, put into your notes instead of go high level.
Yeah. No matter what no matter what, every conversation is well documented. Yeah.
Robert: I think that's great. Because that makes the salesperson actually a lot more valuable. Now one salesperson can do the job with three salespeople.
Steve: Yeah. But the thing you hate the absolute most about salespeople, yeah, I solved that problem.
Robert: Yeah. Yeah. So I'm actually optimistic on the sales side. I think that, you will see, like, low end sales. Like, if I'm selling water furnaces or, like, scheduling plumbing Yeah.
Like, that that's just slow hanging. Like, that's already been just decimated. Yeah.
Steve: That's that's done for.
Robert: But if I'm selling private jets Mhmm. I'm protected. I'm really protected. I'm just gonna have really good notes. Right.
I'm not gonna have to think about it. Exactly.
Steve: But so this AI evolution's been really interesting. Because, like, Chat GPT came along and, like, well, we'll see. Right? And then there's iteration after iteration after iteration. And then a week or two ago, some big things happened.
Robert: Yeah. What happened?
Steve: Hey, disruptors. If you're struggling to scale your business due to a lack of capital for your deals, this message is for you. I've been part of the Collective Genius Mastermind for over four years now, and one of the biggest benefits I get as a member is access to 100% financing for fix and flips. If you're doing at least 10 deals a year, want to network with top tier investors from across the country, and need access to 100% financing to continue scaling, go to one hundred percent money dot com. I've had my friend and CEO of the Collective Genius, Jason Medley, put together a short video with all the details.
That's at 100percentmoney.com.
Robert: DeepSeek you're talking about?
Steve: Yeah. Yeah.
Robert: It was just decimated markets. Mhmm. That is clearly a Beijing op. I think
Steve: we have
Robert: first of all. Okay. Let me talk about this. Let's let's look at what's really going on.
Steve: Let's go down the rabbit hole here.
Robert: They tried they markets overreacted. And I'll tell you why markets are overreacted.
Steve: Definitely overreacted.
Robert: They claim that they built this thing for $6,000,000. So that's not actually what they did. They their training time that so after you've already done all your years of software development and testing and paid your entire team, then once you have your model, then you throw it up on some NVIDIA chips or whatever you got Mhmm. And you just let it train. K?
Ours trains every night. Every night, it goes up into the our NVIDIA GPU, and it trains. Mhmm. And when you're running training, that's very, very expensive on electricity. Mhmm.
K? So OpenAI spent over a $100,000,000 training their last model. That's basically energy costs. Yeah. They train theirs for they claim they train it for 6,000,000.
K? But this is coming out of China. So okay. They got their hands on it. There was some really interesting innovations there, like, moving from 16 bed to eight bed.
There's some there they did do some very interesting things. Yeah. But they didn't build that thing for 6,000,000. Mhmm. There could have been another billion dollars of development before they ever ran that training session.
Yeah. They're just like, oh, we trained it for cheaper. Mhmm. Like, okay. Well, whatever.
Like, there could be another billion there that they're not talking about because they're trying to screw up markets. Mhmm. Now everything too. The chip ban. Right?
They shouldn't have the new NVIDIA chips Right. With new NVIDIA GPUs because there is a ban from coming into China. It's an embargo. Okay. Do you know who bought which country bought one third of all you couldn't buy NVIDIA chips.
You know, all of last year's supply was sold out. Mhmm. Like, all of last year's supply was already sold the year before. Yeah. They're impossible to get.
You know which country bought one third of all the NVIDIA chips last year? Singapore.
Steve: Yeah. Something.
Robert: Do you know how many data centers there in Singapore?
Steve: I think it was very some absurdly low number. About a 100.
Robert: It's nothing. There's there's, like, 10 times more just in Virginia. Yeah. You know how much energy? Let's just say you Singapore did have all those chips.
Mhmm. Okay. You plug them in. Let's say you happen to fit them in a 100 data centers, which would never happen.
Steve: Right.
Robert: How much energy you would need to power? No idea. All those NVIDIA GPUs? Mhmm. More than way more than the entire country of Singapore produces.
So why would Mac be buying all these chips if you don't even have the data centers to put them in and you don't have the energy to power them?
Steve: The infrastructure. Yeah.
Robert: Where are those chips?
Steve: Supposedly Singapore.
Robert: Those chips
Steve: are in
Robert: Beijing right now. I'll show you something else. Yeah. Corey Boatwright sent this to me. It was
Steve: it was funny because, like, I'm watching the markets crash. Right? And, like, I'm not a stock market. I I think stocks are a complete scam.
Robert: Mhmm.
Steve: But if I were a stock investor
Robert: Might be a good time to pick up.
Steve: Last week would have been a fantastic time to be buying.
Robert: Corey just sent me this, Corey Boatwright. Shout out Corey Boatwright. This, he's
Steve: the best. He sends me the craziest
Robert: stuff. Engineer
Speaker 2: wire tech. I've disabled Wi Fi on this phone so that I can capture all traffic sentenced by this phone. I'm capturing the traffic using Wireshark, which is an application
Robert: Package center.
Speaker: To see what's actually being sent through a cable such as this. I am looking at where traffic is being sent. So is DeepSeq actually sending your data to China even though it says it's not? Well, let's put it to the test. So at the moment here, you'll notice that there's no city displayed on the output in Wireshark, but what happens when I run DeepSeek?
What you'll notice is traffic is being sent
Robert: to Beijing. Mhmm. In the
Speaker: Seeks example.
Robert: It's just a coincidence. It's a massive data mining out there.
Steve: It's just a coincidence.
Robert: It's not very good. Like, I was screwing around with it next last night. The server kept on timing now. Didn't even know what Investalift was. US still is is leading, but the gap definitely is closing.
Steve: I mean, in some ways, it's good. Right? Because, like, Sam Altman, that's the guy name. Right? Like, you know, OpenAI is now no longer OpenAI.
And then Deepsea comes along as, like, our We're open.
Robert: It's kinda funny. Right?
Steve: Like, there's a little bit of, like,
Robert: karma. There's some big karma.
Steve: Right? Working out.
Robert: You hear that all you listen to the all in podcast? I I don't listen to
Steve: the podcast. Chameath, I've been loving that guy Yeah. For years. Right? Before even the all in talk.
Yeah. So only stuff I see really is what he posts on Twitter.
Robert: Yeah. There's a really funny clip. The guy the guy just reported on Sam. Yeah. He ripped on his heart.
He's like, I find it hilarious that Sam Altman takes this open source, makes it closed source, and then has, like, 50% of his market value wiped out by someone going open source.
Steve: Yeah. No. It's it's definitely, what's the word I'm looking for? Karma. What's it called when it evens out?
Robert: Yeah. Karma.
Steve: Right. I mean but it's just it's just working yourself out. Yeah. So, you can't raise all this money as a nonprofit. And then one day, it's like, hey.
I'm for profit. What happens to all the other investors? Right? Everyone that donated is like, ah, well, thank you for for everything. So yeah.
So I think the the, the DeepSig thing was a was a was a big deal. Anything else we're seeing in AI that we should be aware of?
Robert: I think if you're running a business right now, like, just go and spend one day a week just going after the low hanging fruit. Right? Like, if you don't have notes being taken by an AI or your Zoom calls, like, get that in place. So if you don't have, like, our company, every single call with every single prospect, there's notes taken. There's next steps that are automatically added to the CRM.
We even do, like, we Gong is a really good really good software program where it'll, like, tell you what percentage the salesperson talk versus the prospect talk. Right. What was the sentiment of the call? What were the objections? You can uncover insane data.
Mhmm. And those things, like, we found, budget objections. Right? We asked AI to go isolate all budget objections. And we found if someone brought up a a price or a budget objection, they were six times more likely to actually buy the product than if they did it.
Fascinating. So now the salespeople know that. They're like, oh, someone's bringing up a pricing objection or a budget objection. It's because they're actually serious about they want it. They just need to figure out how to finance it.
So there's a lot of, like, low hanging fruit that you can use right away.
Steve: A
Robert: good good pro tip is just have ChatUpT open on your desk beside you and use it as an assistant. You just use the voice feature and just, like, bounce ideas off, use it as an assistant. So, like, just go after all the low hanging fruit. The way I'd be thinking about it is anything that you have a VA or an assistant normally doing, ask yourself, k. Can I replace that with an AI?
And just, like, spend a day a week just working on, like, plugging some of that into your business. Because, if you don't start doing it now, you're kind of dead Yeah. In twelve to twenty four months. Because the competitive advantage AI gives you is so monumental that you you can't actually compete. Like, I most people won't believe me when I say this, but I am 100% I just bet my entire company Yeah.
On this AI play. Torn down, buyers are $100,000,000,000 companies and, like, going all in on this. Why am I so confident? Because I know that, number one, no one will ever be able to build a neural network like we just built because you would have had to start investment five years ago and built these billions of dollars to be able to train. So even if I gave you the algorithm, you can't fucking train it because you don't have the data.
Mhmm. No one can build that dataset. It's never gonna happen. So I'm like, okay. So I'm the only one that can train AI.
Whoever gets to AI first has magical powers. Yeah. Twelve months from now, if you're not using InvestoLift twelve to twenty four. Twelve to twenty four months, if you're not using InvestoLift, you're gonna be out of business. Yeah.
It'll be that powerful because if someone has that kind of power where, like, you know, we're talking about the sales the display manager that knows everything. Mhmm. Like, someone has an army of those. Yeah. And then you're sitting there, like, downloading data and filtering in Excel.
Like, come on. Yeah. You're dead.
Steve: You said that you have AI open. Right? And you're talking bouncing ideas off of it. What are some things you would bounce off of it?
Robert: What do you mean by that?
Steve: You're saying, like, one of the things you should do or you should have ChatGPT open and just bounce ideas off. Like, what are some ideas you would bounce off of ChatGPT?
Robert: Like, we use it all the time to start media. Like, we'll have, like, a idea for a video. We'll just like, hey. Here's our idea for the video. Can you make it better?
Or can you come up with an idea for headline or a thumbnail for this video? Just like anything. Anytime you're doing ideation, it's a great partner to use when you're doing anything creative. Yeah. Or even, like, business strategy, marketing strategy.
All these, like, ecommerce shops and stuff, they're they're gonna get wiped out because, like, they they've been competing by, like, having, like, a really good landing page and, like, really good like, they've AB tested the shit out of every headline. Now I can just go take any landing page. I can feed it up into AI and say, hey. Can you create me a derivative of this Mhmm. And make it a little bit better?
Like, so there's gonna be massive downward pressure on the whole time
Steve: to the next level. So one thing that, I've been using, AI. I mean, this is not nothing fancy, but, like, I'm done with Google. Like, I've tried. I'm trying to use Google.
And, like, I'll do a search, and it's like, there's nothing here in alignment with what I was actually, you know what it was? I was trying to find comps for my company. Right? Yeah. So, like, I'm doing stock options for my company.
Yeah. And the only way you can do stock options is
Robert: you have a chance to get a
Steve: four zero nine a. You gotta get a full blown appraisal. Yeah. Right? So I was like, alright.
Let's do an appraisal. So I go to Google, and I say, give me five companies that sell education Yeah. So I can use it as a comp for my appraisal.
Robert: Yeah. Nothing. Yeah.
Steve: Go to Chatt GPT. Give me some comps for a sales education company. Give me one. I said, alright. Give me comps for education companies.
Give me multiple. Yeah. Google is just worthless now.
Robert: Oh, they're panicking over there. Yeah.
Steve: Well, they should. Right? Because they've invested all their time and effort on stuff that doesn't actually help us anymore. Like, the whole thing about, like, don't be evil Yeah. They should've kept that guy there.
Robert: They should've kept that guy there. They should've kept that guy there. They should've kept that
Steve: guy there. They should've. They gotta
Robert: be sure.
Steve: Because whatever direction they're going, it's not for the benefit of the company.
Robert: You know what's crazy? So one of their lead architects on AI, he left Google. He was the guy that invented neural networks. Okay. He's from University of Toronto.
I can't remember his name off the top of my head. Brilliant, brilliant guy. And he's he was leading the AI team at Google. He left the team, and people ask him, like, hey. Why did you leave?
And he's like he's like, yeah. I'm just a little bit worried about AI safety, all this. He's like, oh, and, yeah, I believe that these systems are now conscious. Mhmm. And that sounds like a little bit wild.
Okay? But here's his argument, which is very interesting argument to explore. Mhmm. So if I took your brain Mhmm. And I took just one neuron from your brain.
I replaced that with a little transistor. Mhmm. Little nanobot that replaced that one neuron. Uh-huh. Are you still human?
Are you still conscious? Mhmm. Do you have conscious? Yes. I want
Steve: to believe. Yes. Just one year round. Yeah. I want to answer yes.
Robert: Okay. Now what happens if I switch out to? Mhmm. This
Steve: is a this is a You're
Robert: still conscious.
Steve: This is a ship, analogy. Right?
Robert: What's that analogy? I'm not familiar.
Steve: This is a whole, like, you know, in Greek. Right? Let me take a wooden boat. Right? Because that's how they built them back in the day.
And each day or whatever, you place one plank of it. Right? Yeah. And then after, you know, a thousand days You
Robert: have a whole new ship.
Steve: You have a whole new ship. Yeah. But you took all the other used planks, and you built another ship. Which one's the real ship? Yeah.
Kinda similar concept. Yeah. Right? So, yeah, which one is at which point are you saying are you are you no longer sentient? And which point are you saying, I guess, I don't know, cyborg to write Yeah.
Description for this?
Robert: Yeah. I mean, the only difference between the way a neural network works and a human brain works is a human brain neurons binary. So it's like a zero or one. Mhmm. Right?
Versus how a neural network works is you have layers, and each layer basically imagine, like, it's a knob, and it decides how much data to pass on to the next layer.
Steve: Mhmm.
Robert: So it's not binary yes or no. It's, like, 20%, 30%, whatever. And, like, it's dialing those knobs and adjusting those knobs to, but that's basically the only difference. It's just analog versus digital. Mhmm.
Steve: We're right there with Neuralink. Right? Yeah. With Neuralink, like, people are
Robert: walking now. It's it's it's incredible.
Steve: So we're pretty much that kiss is thesis, right, of just saying, you know, one neuron. We're there with Neuralink.
Robert: Yeah. Right?
Steve: And then you talk about, you know, you're saying, you know, you get AI with, like, perfect memory.
Robert: Humans with perfect memory.
Steve: Too much to have humans. Perfect.
Robert: I mean, they're already piling you.
Steve: Yeah. Have you listened to
Robert: the podcast with that guy that got the first implant? I have not. Paralyzed? Mhmm. Do I play video games now with his mind?
Steve: Yeah. Incredible.
Robert: Yeah. It's cool. Elon Musk is a goddamn national treasure.
Steve: I said this to somebody, and they're like, man, you're a really big fan. I was
Robert: like, yeah. I am. The most annoying thing is, like, Silicon Valley for, like, the first twenty years of the Internet, all the smartest minds in America went into marketing tech. Mhmm. Why?
Because they make shit tons of money. Yeah. Because every business wants leads. Every business wants sales. So you have the smartest people in America for, like, ten, twenty years Mhmm.
Going into marketing tech, working for Twitter. Yeah. Working for Google, working for Facebook. And it wasn't until Elon Musk came along and started doing these, like, crazy projects, like, we're gonna colonize Mars. Self driving cars, Hyperloops, Neuralink that, like, now we're starting to get top engineers actually working on stuff that is really gonna be the future.
It's like
Steve: Well, I'm glad you brought that up because I was I I was gonna say this. I completely forgot about it. Right? So, like, right now, we got, Department of Government Efficiency.
Robert: Love it.
Steve: Right? So we got Doge over at, OPM and, was it Whatever thing where they're just Mhmm. Script USAID. Right? They're just USAID.
Robert: Where where all
Steve: that money is going. Right?
Robert: You they have bigger budget than the CIA. Crazy. I
Steve: think it was comparable.
Robert: No. It's bigger. Is it bigger? Yeah. 68,000,000,000.
CIA is, like, 50,000,000,000 or something like that.
Steve: But either way, it's not it's not a good situation. Right? No. And, like, today, they're finding out, like, you know, like, they pay 43,000,000 to Politico, 40,000,000 to New York Times. USAID is funding our US government is funding the media.
Right? That's insane. But where I was going with this was they got six kids scraping what is going on with all of our government spending.
Robert: Brilliant. Right?
Steve: And and they're still building
Robert: it out.
Steve: But, like, it's been, like, three days since they started. Yeah. And what's fascinating is they're like, you know, who are these kids? Why are they qualified? One of the six kids was created the AI where they can translate these scrolls that no one's been able to translate.
Right? Yeah. Scrolls that are thousands of years old. Yeah. He's using AI.
Robert: And you can't even, like, see them. They're a lot like they're, like, fossilized or something, but they did, like, MRI or something. Yeah.
Steve: They're they're they're folded up. And if you or rolled up, and if you unroll it, it breaks.
Robert: Yeah. So
Steve: you can't unroll it. And so he's using he's used AI to translate all these things, and now he's running department of government efficiency.
Robert: I love it. Yeah. I absolutely love it.
Steve: So, I mean, the things they talk about AI, this might offend some people I know. I think most of the people that listen to the show probably more, libertarian or conservative. Yeah. But, like, the things I'm fascinated by is, like, if we if we could take every single bill moving forward, it's like, hey. AI, what does this bill do?
Robert: Oh, yeah. Like, every congressperson, every senator should should, like that should be mandatory. Yeah.
Steve: That they Right.
Robert: Because no one ever reads them. No one reads them. It's impossible.
Steve: So But an
Robert: AI can read them. You can Yeah. So now AI,
Steve: what does this bill do? Yeah. Right? And now, like, what are some downsides of this bill? What are some unintended consequences Yeah.
Of this bill? Now we're not passing stupid bills anymore. No. So, like, I'm excited.
Robert: I'm so excited. I'm more optimistic right now than I've ever been in my entire life.
Steve: Yeah. So I'm excited the government's gonna be more efficient, and we're not gonna pass any more stupid stuff.
Robert: Yeah. So You gotta take care of your family before you can take care of your neighbor.
Steve: Yeah.
Robert: That's why I look at them. We've been spending a lot of money on other countries Oh, it's crazy. While letting our own house go to shit.
Steve: What was crazy is, like, we're protecting other countries' borders.
Robert: And not our own.
Steve: And not our own.
Robert: So Yeah. This is one of the big things that we wanna go after is, like, with the big influx of immigration. I love immigration. I'm an immigrant.
Steve: I'm an immigrant.
Robert: You're an immigrant.
Steve: Yeah.
Robert: But you gotta run it like a sports team. Right? You gotta have the best people. And you also need to make sure that that you offset the number of people that are coming in with housing. Mhmm.
Right? So we're, like the numbers were 6,000,000 houses short right now just to meet existing demand. And that's why the wallet share that people spend on housing has gone up 40% in the last four years. Mhmm. It's not the price of eggs that's killing people.
It's the price of housing that's killing people. The wallet share is just crushing Right. Americans. We've only built 4,000,000 houses since the financial crisis. Mhmm.
So we need to build 1.5 times more houses than we built since 2008 Do this to catch up. Mhmm. So you gotta slow we do need immigration because the average woman needs to have, I think, it's, like, 2.6 kids just to replace the population. If you don't replace the population, then Medicaid and Social Security and all those go bankrupt. Mhmm.
So you either need to convince American women to have more kids, option number one, which doesn't look like that's being prioritized very much. Or option number two is you bring immigrant immigrants. Okay? So you have to bring in immigrants, but then you just gotta make sure you keep up with the housing. Right.
And then as you develop more housing, you also make gotta make sure you have the education infrastructure, the medical infrastructure. Like, all of that really needs to be planned out. You can't just open the floodgates and just, like, see what's gonna happen. Like, stupid stupid shit. That's where you get this big backlash.
Major backlash.
Steve: I mean, you know, in some ways, I think it was a blessing, because we we've never had, I think, greater contrast ever. Yeah. Right? To go from Trump to Biden and then Biden to Trump. Like, I don't think there's ever been a greater contrast in the history of
Robert: our president. It's an unfortunate million people had to die.
Steve: Yeah. There were a lot of people that had to pay the ultimate price. But yeah. So it it's just it's just interesting. And like I said, going back to this, you know, like, AI so long as we can keep it, you know, well behaved, not conscious.
Yeah. I think we find like, the things I've said, then, you know, you were a guest on part of disruption a couple of times. The things I was saying is, like, with the advent AI, and I was saying this in '23. Right? I was like, yeah.
We're just five years away. Yeah. It kills all it kills all of us.
Robert: It might happen. You know, it's like if you're building a house and there's an anthill in the way. You know, you just build the house. You don't have to keep up the anthill. Like, that's the level of discrepancy on intelligence that we're gonna have between human and these systems.
Steve: Yeah. That's a very real possibility. So, alright. So, the other thing too, you know, I forgot to mention this. So you came on '21, I think, or is it '20?
Robert: The first time? Mhmm. '21, I think.
Steve: '21? You came on. We announced our partnership. Right? So, like Mhmm.
You know, I I you bought out OfferFast Yeah. And we became partners and invested in that.
Robert: And now I'm invested in your business.
Steve: And now you invested. So, you know, you're the very first, investor, right, into our sales training Yeah. Program. So thank you for that. I don't think we've really made that Yeah.
So public.
Robert: Because I I have confidence that high high ticket sales, high end sales is actually gonna be augmented and actually grow. Mhmm. Well,
Steve: I believe that this is gonna be huge.
Robert: Yeah. Absolutely gonna be huge.
Steve: So thank you for that.
Robert: Yeah. And if you look at the guys on Investlifts, like, the guys have been on for forever, super successful, and, like, a lot of them went through your program Mhmm. Are now using like, I just had lunch, a couple days ago with David Olds. He's like, yeah. We had in house sales.
It was, like, such a distraction. We just call Steve, and he just handles it all for us. Like, he hires them. He trains them. He makes sure that they hit their KPIs.
Like, I just don't have to worry about it. It's great. Yeah. Greatest thing since sliced bread.
Steve: Yeah. Yeah. I mean, if you don't have to worry about your sales floor, like
Robert: You can focus on all of those. Accomplish.
Steve: Yeah. Exactly. Go work on your magic stuff. So, and then so we got the free link. Alright.
You're gonna you're gonna hand that to me. You're gonna send over to me, and I'm gonna post it in the description. So a 100. You said a 100 of them?
Robert: I'll do a thousand. Thousand. I'll do a thousand.
Steve: Thousand. So a thousand. I said so if you guys are watching, make sure you go to our YouTube channel and go to the description. Because I don't know how well the descriptions works on iTunes. So go to YouTube, and then you can get the link there.
Anything else? I mean, this is crazy. Like, all the things you're doing with with AI. Anything else you wanna leave everyone with before we wrap up? Today's podcast is brought to you by motivatedleads.com.
With them, you can get $300 worth of quality local leads sent exclusively to your inbox by just mentioning my name. I've used them, and they're one of the best producers of solid seller leads on a local level. And they fully guarantee the leads that they send you. To get your $300 free credit, just head over to motivatedleads.com, hit the claim your area button, and let them know that I sent you. Anything else you wanna leave everyone with before we wrap up?
Robert: Yeah. I'll give, like, a hint of where the industry is gonna go based on the tech we're gonna build. So, like, right now, the beta is it gets smarter every night. Right? So every night, everything that happened that day on Avasta, hundreds of millions of different interactions gets fed at AI, gets smarter.
So right now, you know, it's like OpenAI, first touch of PT. It's gonna start getting exponentially more and more intelligent. It'll be a 100 times more powerful within the next twelve months. What we're doing with deal scoring, we're doing it on the disposition side right now. But where we're headed with this is we're gonna start putting it on the acquisition side.
So we're trying to get the industry to a world where, you you don't have to really do anything other than train salespeople. Mhmm. Right? Like, underwriting is, like, the biggest challenge. So many people I was just on Dispel Live.
I had two people submit deals, and both of them had their RVs off by over a 100,000. And, like, on a 200,000 house, you know, it's $200,000 real ROV. Maybe $1.90, actually, and it's, like, $3.20 ARV. Like, it's just,
Steve: like, so far. 100,000.
Robert: So far off. So underwriting is, like, a big problem because it just wastes a lot of people's time. So we're we've rolled it out on the disposable side, but the more samples we got on the disposable side, the closer we get to being able to introduce on acquisition side. So I'm not gonna give a timeline on this because You
Steve: learned your lesson.
Robert: I learned my lesson. But once we have enough data, you'll be able to pipe any address in InvestLift, and it'll tell you, hey. At this price point, you have only a 20% chance of selling the deal. But if you just get it $20.30 grand lower, you actually have a 95% chance of selling the deal. Yeah.
And by the way, it should move in between twenty four and seventy two hours Yeah. Based on market and how the velocity of that market and everything. So you won't have to train people on underwriting. On the acquisition side, your numbers will always be right. Always, but probably 90% right.
There's always some human element. We're doing stuff like starting to analyze the images Mhmm. To determine scope of work
Steve: Oh, yeah.
Robert: Using neural networks to like, okay. First challenge is, is this a bathroom? Is this a kitchen? Is this is this a, you know, whatever? And then, like, what would it cost?
Because obviously, there's some edge cases like a foundation crack, like, you know, if you don't like, that's, like, down the road. Right. We can get way better than a human really, really quick. I think, again, I'm not gonna give a timeline, but pretty soon, we'll be able to outperform humans on those tasks. Mhmm.
And then the leads just come in. All you gotta here's where you should sign it up for. Here's where you should desk both for. You get price agreement over the phone. You click a button.
It puts it up on the site. It starts finding your buyers for you, and all you gotta do is call them and send the contract. Like, I'm we're gonna make it stupid simple. But then, like, our thing is if you think about the industry, the industry in itself is kind of a neural network. Yeah.
Okay. And then you got, like, subnetworks within the network. So for example, my podcast cohost, Sakri, keeps almost never stops on Investo. Why? He says, oh, everything's overpriced on my best foot.
Mhmm. He's like, I have such a good reputation in this town because I've done 4,000 deals that when people just need a guaranteed buyer, they call me because when I give them an offer, they know it's a done deal. Right? So he can pick up deals $10.20, $30,000 cheaper Mhmm. Than what they would trade for on investor lift.
Yeah. K? Why? Because he has a reputation. Mhmm.
He's a reputation that he's built up over the last couple decades here in town. And there's a lot of times where me as a wholesaler, if I just really need to make sure a deal is gonna sell, like, I'll take the 10 over 30 just to make sure that it's gonna like, this thing needs to be sold in five days. I need a guaranteed buyer. Sure. Zach, I'm only gonna make 10 on this, but I'll take that over maybe hoping someone else close with a hard money loan that they're probably never gonna get in time, try to sue for the 30.
So there's these, like, local, like, networks, you know, almost like neural networks. Mhmm. Like, people have reputations in those networks, and and this inventory is moving through these informal networks. But the biggest thing is there's this trust mechanism that's built by humans. The problem is when you go nationally if I go into Kansas, I don't know who the grill buyers are.
I don't know who you know? So everything that we're we're gonna be doing with these AIs is building real trust mechanisms. So you've probably seen the if you're an investor, you've probably seen the first things that we've done in that direction, like giving the ability to leave reviews. Mhmm. So we're building up profiles for every single property in America, every single real estate investor in America, and every single real estate individual in America.
Where we're headed to is, like, when you get somewhere in contract, you're just adding options contract to a property that property profile will exist. Mhmm. And then every wholesaler, every realtor, we don't care if you're a wholesaler, buyer, buy and flip, fix and flip, whatever. They all have public profiles. You'll have a public profile.
I have a public profile. If you screw me over on a deal, I'm gonna one star your ass. Yeah. Right? Yeah.
If if you do a great job on a deal, I'm gonna five star you.
Steve: Mhmm.
Robert: And then we're gonna be taking all the public records data and attaching it to all those profiles as well to augment those profiles further. And then that that local trust, whereas that keeps us one of the most trusted buyers here in Phoenix, Arizona. Now anyone from anywhere in
Steve: the world will be able
Robert: to tap into that. Yeah. Because the neural network will figure it out. It'll it'll allow us to do trust transfer. And then what that's gonna do is it's gonna clean up the entire industry.
Because 99% of all the problems I have on an investor left, I have to deal with it, is with some idiot daisy chain or Mhmm. Or, like, you know, someone trying to circumvent on a deal. Whatever it is, we can just clean that all out. Alright? And, yeah, there's gonna be a it's gonna clear clean out all the idiots and cowboys, but what's gonna happen is then the guys that run the best shops, they're gonna they're gonna win.
They're gonna make more money than ever before.
Steve: Yeah.
Robert: It's gonna I'm really optimistic. We got a lot of macroeconomic trends going on right now. You know, the average baby boomers is, like, 63, 64. The average American only lives, I think, it's, 63 or 60 or 73 or 74. '74, I think it is.
Yeah. So we got ten years. Those baby boomers hold trillions of dollars of real estate. All that real estate is gonna start changing hands here in the next ten years. It's all gonna be in the market, but they've got they got wiped out in in the financial crisis in 2008.
Retirement savings got wiped out. Now they're finding crazy inflation. They don't have cash to go reinvest into keeping these properties. Together, all those properties are gonna start getting inherited over the next decade. They're gonna need capital reinvesting them to bring them back to life.
And if we don't do that, they're we're gonna have even higher housing prices, even less supply on the market. So it's it's really, really, really important what we're doing as wholesalers. I know we get a bad rap, but we are getting capital invested in distressed assets, And we're bringing inventory back to life, and we're the ones that keep these neighborhoods alive. You remove the real estate investors. You remove the real estate wholesalers.
These first, you have one property that falls apart.
Speaker: Mhmm.
Robert: You know, there's always not one property on the street. First domino. Yeah. The first domino. But then the next property falls, and these those dominoes start going together.
And all of a sudden, you have a street that dies. Then you have a neighborhood that dies. Then you have an entire community that dies. Yeah. So, if you're wholesaling, you're doing good work.
It's not it's like, if you're running a good shop, you're not a stand artist, you're not stealing money from grandma, there's a market price for everything. You just gotta do a good job of figuring out what those market prices are. We're gonna use AI to help you with that Mhmm. And just help the best companies grow. And, and let the let the junk companies die out.
Yeah. Let the let the neural network of the industry evolve. And and our goal is to just be the operating system. We're gonna be the operating system that real estate investing runs on that the capital comes in, gets matched with the opportunities.
Steve: Yeah. I mean, I think with all this, kinda thinking about you know, you mentioned someone else is trying to acquire you. I mean, I think, like, with AI and everything else you're building out, at some point, I can't remember who bought Zillow. Right? Mhmm.
But whoever did or bought, you know, all the investors in the open door, all this there's so much value in all that data and the neural network that you're building up. So
Robert: I wanna be bigger than Zillow.
Steve: Bigger than Zillow. Man. Alright. So Yeah.
Robert: Very cool. Thank you so much. Alright. Steve with Smith on.
Steve: Thank you guys for watching. See you guys next time.
