Adapt or Lose: Why Businesses Must Use AI Agents in 2026 or Get Left Behind

Litan Yahav / Vyzer (00:00)
Oh, you’re just going to lose as a business because some of the business in your field is going to do the same thing just a little much better, much faster, same price or lower because they can afford it. So I mean, that’s the biggest

Scott Bursey (01:43)
Hi everyone and welcome to the Real Estate Pros Podcast. I’m your host Scott Bursey and today in studio we’re joined by someone I’ve really been looking forward to chatting with. Litan Yahav who is a big player in the AI space. Litan doesn’t just talk about AI, he builds it to sell real world bottlenecks. By creating AI agents that can think, reason and execute, he is changing the way we define productivity in 2026.

Litan, thank you for joining us.

Litan Yahav / Vyzer (02:13)
Thanks for having me, that was quite an intro. I hope I can deliver on that.

Scott Bursey (02:15)
⁓

I’m sure you can and I’m sure you can even raise the bar a little bit. So if you could give us your back story, how’d you start your career and ⁓ where are you going next?

Litan Yahav / Vyzer (02:30)
Sure, so I’m a tech founder, started a company, my last company about 15 years ago in 2011, very different industry. We did 3D imagery for diamonds and jewelry and exited that in 2015. Made some money, not tens of millions, but sort of enough to start to get started. Me and my co-founder started to deploy capital into the real estate markets, private markets, across different asset classes.

A few of those were active real estate investments as long-term rentals and some LP positions and some other syndications. And then that, you know, became a larger part of our portfolio and that grew. And we had these good problems of tracking and managing our wealth. I get an email from a GP I’m invested with and I’d be, my God, who is this person? When did I invest with them? And these good problems to have.

And so we ended up building software for us to manage everything we have. So pull data from everywhere, link in our bank accounts and track distributions, but also all the public accounts, brokerage accounts and stuff like that, insurance. And then a lot of our friends wanted it as well. And this was back in 2020. So COVID before the AI boom with Chatgpt. And we started to build some machine learning, automation, scraping, and our whole team to…

provide value for us. So that’s the origin story of of me and Vizor.

Scott Bursey (03:43)
and that’s quite a story, that’s quite ⁓ an achievement. Lee Tun, what caught my attention about you was the way you’ve been able to move past the AI hype and build actual digital employees that perform complex tasks just as well as a human team member. Curious, for those still confused, what is the actual difference between a basic chat and a true AI agent?

Litan Yahav / Vyzer (04:07)
That’s a really important question because the word agent is being thrown around a lot. I think as we’ve advanced since the launch of ChatGPT, which started this whole AI race, think, there’s a lot clearer definition of what an agent is and what is a bot. And I think a bot is what we’re all used to. ChatGPT, Gemini, Cloud, Perplexity, Kurok, all those platforms where you ask a question, you get an answer. You give it content, you get more content.

That is, that’s a bot. It’s extremely useful and can solve a lot of

An agent is something that uses the brain of that bot to accomplish different tasks. And as we evolve, those tasks become just more and more complex and will help empower humans to just be much more productive. So that is the definition in my mind of, differentiation between a bot and an agent. That make sense?

Scott Bursey (05:48)
absolutely, that’s crystal clear. Thank you for that explanation. Leeton, if an AI agent is a digital employee whose role in a standard company is going, whose role in a standard company, I should say, is going to be the first to be automated.

Litan Yahav / Vyzer (06:06)
I don’t think there’s a rule, a thumb to answer that question. I think when there’s, there’s. Repetible tasks that require some kind of brain to understand them. That’s when you need an agent. I don’t think every automation needs an agent, right? Cause you know, there are all these platforms out there that are really good at connecting different applications to create flows and work and, and, and, and automations around them, like Zapier and.

and other automation tools that don’t necessarily need a brain. If I get an email and that email has a subject line and every email that I receive with that subject line needs to have a reply, which is a fixed reply, you don’t need AI or an agent for that. It’s really straightforward. But when you need that reply to be based on previous interactions and based on your company logic and knowledge base, that’s when you need a brain, that’s when an agent comes in, an AI agent. So that’s where I think it comes in.

I think just like you manage humans as employees, you need to be able to manage AI employees. And I think it’s a very similar task, because you need to define what the job is. You need to train that person on accomplishing that job. And then you need to follow up and make sure that doing the job correctly, if you need to train them more, if you need to let them go, because it’s just not worth it. So it’s the same idea, I think, as managing.

human agents or human employees and AI agents or AI employees.

Scott Bursey (07:25)
Excellent breakdown. Walk us through, you will, for the business owner that feels left behind. What is the very first process they should try to hand off to an AI agent today?

Litan Yahav / Vyzer (07:38)
Again, a great question, which there’s no right answer to it, I think. A business owner who currently has employees should incentivize or empower their employees to work side by side with agents that augment their job. That’s like number one, I think, that any business owner needs to start implementing yesterday. And then each use case has a different, you know.

ability to solve to. So if you’re marketing or if you’re operations or if you’re legal or if you’re whatever it is, you can augment parts of your day to day job with an AI agent. The simplest one is like just like helping you answer emails. Or but there’s so many other things you can do throughout a typical business ⁓ day to day operation.

Scott Bursey (08:24)
In your experience, I’m interested to know what is the biggest hidden cost of not adapting an AI agent in 2026?

Litan Yahav / Vyzer (08:35)
Oh, you’re just going to lose as a business because some of the business in your field is going to do the same thing just a little much better, much faster, same price or lower because they can afford it. So I mean, that’s the biggest

I literally believe it’s like in the early 2000s when there were people or companies that weren’t, you know, leveraging the Internet and they don’t exist anymore. All right. You either adapt to use this new tech or you lose.

Scott Bursey (08:59)
Yes, couldn’t agree more. I’m with you on that. Litan, what’s the one piece of advice you wish you had known when you were first starting out in regards to this huge, huge world?

Litan Yahav / Vyzer (09:47)
So it’s not AI related because when I started it was before the AI boom. But you could sense it’s coming. again, and I’m in software, right? And so I’d say the architecture of a software product must be ready to process large quantities of data by a third party machine who can analyze it. So like from a tech standpoint, I think the architecture should have been better. ⁓

And the second thing, again, in the software business is build things fast, make them break. It’s not important. You just want to deliver fast and iterate as fast as possible on whatever you’re building.

Scott Bursey (10:24)
Do you have any insight on where you think this world could go? Do you have any illustration where the AI world, there’s so many ⁓ question marks. Is there any vision that you have that would be intriguing for our audience?

Litan Yahav / Vyzer (10:32)
What world is that?

I mean, it’s not, it was, it’s nothing new to share that, you we don’t know where this is going to go. And it’s growing exponentially. Obviously the knowledge workers are the highest risk, I think. And everyone, a lot of people think the same, the same way. I think that the, you know, the, the more blue collar type jobs are going to be more.

Valuable in the future because it’s gonna be much more difficult to do them with AI and robotics But I mean I have I have a a know a Prediction of where the world is going from it from a company standpoint over the next five years Which I’m happy to share I think I think and this is the most the most common one is I think 80 % So we’re gonna see

If we take all companies globally and their headcount, and then there’s an average headcount per company, I think that’s going to drop by 80%. Not because companies are going to fire employees, because there’s going to be a lot more companies which will operate with a lot smaller teams. Because they can. Anyone now who has an idea to build anything can do it with a few clicks of a button with not a lot of knowledge. And it’s going to be much more easier in the future.

And because people are going to be let go and not being hired as much as they were in the past, it’ll be much more easy for them to start their own companies and hire smaller teams. I think the third, we’re going to see much more companies that are going to be serving, you know, freelancers or consumers than we are today because the businesses themselves will just be able to build their softwares on their own. So that’s the way I think the world is going to go from, at least in my industry, which is the software space.

Scott Bursey (12:25)
That is some valuable perspective. Thank you for sharing that with us. Now, Litan, I know a lot of our audience is either earlier in their journey or looking to level up. And I think they benefit from hearing this from you. When it comes to building relationships and growing your network, what’s the biggest difference for you?

Litan Yahav / Vyzer (12:44)
I mean, I think the face-to-face interactions would probably be much more valuable. ⁓ They have been valuable for me, for sure, especially in industry that I’m in. ⁓ So I think relationships are the pinnacle of everything.

Scott Bursey (12:57)
Yes, thank you for that and Litan last question What are you most excited about now that you want everyone to keep an eye on as far as your your industry?

Litan Yahav / Vyzer (13:08)
Most exciting for me, ⁓ I think the accessibility of tools that used to be reserved for the ultra high net worth or large family offices are gonna be accessible for the retail investor very fast and very broadly. And that’s what I’m excited about.

Scott Bursey (14:06)
And in addition to that, is there anything else you’d like to share with our audience as far as AI is concerned and as it relates to you and the impact that you’re having?

Litan Yahav / Vyzer (14:16)
I think you just pay attention to what you’re using and how you’re using it. ⁓ Number one, not to overkill what you need to do. You don’t need AI for everything. And number two, not sharing too much of your information with it because it can be dangerous.

Scott Bursey (14:28)
Certainly, love it. Thanks. Thanks so much. And thank you for those insights. That level of conviction is exactly what it takes to actually make a difference. And your passion resonates as well. All right, before we wrap, if someone wanted to reach out, connect with you, maybe collaborate or learn more about what you’re doing, what’s the best way for them to reach you?

Litan Yahav / Vyzer (14:49)
⁓ Yeah, I’m happy to talk with anyone in our industry or listen to it. I’m on LinkedIn, Litan, Yahav and every other social media platform.

Scott Bursey (14:59)
Huge thanks to Litan for dropping those strategies. It was awesome having you on the show. Thank you for being here. Our pleasure. And for everyone tuning in, if you found value in today’s episode, please make sure you’re subscribed. Until next time, keep your standards high and your vision clear. We’ll see you in the next episode, everyone.

Litan Yahav / Vyzer (15:04)
Thanks for having me.

So in the next six weeks you do.