WEBVTT

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Well, awesome. I like raw and real. I don't know

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how many of the audience members do, but I think

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most of the most qualified audience members appreciate

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that. And they see like, okay, wow, these two

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entrepreneurs are willing to talk about, you

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know, the good, the bad and the ugly, the behind

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the scenes. I'm going to read through your report

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because I really like the extensive nature of

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what you provided with your form and the diligence,

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the honor that you gave us on that. And I think

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it's very helpful for people to understand the

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background. Dilip Dube, your vision is to democratize

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the power of artificial intelligence so that

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business leaders, especially in mid -market companies,

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can drive innovation, scale profitably, and stay

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competitive without needing technical expertise

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or massive teams. His mission Dilip's mission

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is rooted in the belief that AI should be a tool

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for empowerment, not complexity. This vision

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resonates deeply with growth -minded audience

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members because it bridges the gap between cutting

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-edge technology and world -world leadership.

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Dilip speaks from experience having founded and

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exited multiple AI ventures. and advise 100 -plus

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organizations globally. He brings practical,

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actionable insights that leaders can apply immediately.

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His focus on clarity, simplicity, and ROI ensures

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that the audience walks away not just inspired,

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but equipped to take meaningful action in their

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own businesses. I know that's up to me as well,

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right? How do I facilitate the questions to drive

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that? So Dilip's not just a founder and AI strategist.

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He's also mentored over 22 AI startups, an advocate

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for ethical, purpose -driven innovation, and

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through his platform Sutra. He's helping leaders

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implement AI in weeks, not months, without hiring

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data science teams. He's passionate about making

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complex technology accessible and believes the

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future belongs to those who can align tech with

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human leadership. Dilp is always open to meaningful

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conversations and collaborations that drive positive

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business and societal impact. And you can learn

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more on the website as well as find him on LinkedIn,

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the website being dubay .ai. We do talk to a

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lot of self -proclaimed AI experts in the world.

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I'm sure you run into them too, Dilip. And that's

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not a bad thing. It's like, who's qualified to

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be a math teacher? I think anybody who's learning

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math is qualified to teach. Yet there's a big

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difference, in my opinion, between those who

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are experts and those who also know behind the

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scenes the Sam Altman level. what's really going

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on and the mark zuckerberg's the jeff bezos like

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these guys they have completely different levels

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of access you mentioned some exits in this process

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do you mind if we start there what what did the

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exits look like um and uh what years were they

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in was there was it all great and amazing are

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you multi -billionaire now because of it um or

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were there some ugly truths to it as well i'd

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love to know more about that no certainly um

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jackson so uh I'll start with the first AI venture

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that I started in 2013. Now, remember, this is

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2013. This is pre -ChatGPT, me walking into CEOs

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of big companies, multi -billion dollar companies,

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and telling them, I can solve your business problems

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using AI. You can only imagine, you know, and

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some of them later told me that, hey, we had

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a decision to make, like, laugh right at your

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face in that meeting or let you step out and

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then start laughing. Because obviously nobody

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believed AI can have the impact. And we literally,

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the first company I started in, this is 2013,

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and that exited in 2018. We were able to save

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this company $43 million leveraging AI, but they

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could not sign a contract, Jackson, with AI written

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in it. We had to take out all mention of artificial

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intelligence for them to be able to sign a contract

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with us. And now we're in 2025 where if you don't

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have AI written in a contract as a vendor or

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a software vendor, you probably don't get a deal

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because everybody's looking for AI. So the world

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has changed. Let me ask you this. I got to ask

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you this on it too. Currently, it's unverifiable.

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At least, I don't know the company name. You

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presented an idea of $43 million in savings.

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What's the company name? So that company, because

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it's always under confidentiality, I can't disclose

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the name of the company. The claim is not verifiable,

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audience. I wouldn't believe it until I know

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the proof of the evidence. So are there other

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companies that you're willing and able to talk

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about that are provable evidence? Oh, certainly.

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There are many companies who have given permission.

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This is a publicly listed company and hence have

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some much more strict requirements. But again,

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this is 2013. You talked about exits. The company

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I started was bought by three private equity

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companies in New York. Is this verifiable though?

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I want to make sure. No. Okay. I just want to

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make sure we're talking about the non -verifiable

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one. No, no, no. Yeah. What is verifiable? So

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what's the company name and what's the background

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on it? Yeah. So the first AI company I started

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was called Ziva, X -E -E -V -A. And that company

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started in 13 and then exited out in 2018, 19.

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I exited out of the company at that time to three

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private equity companies in New York. So that

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was my first exit. Now, again, this is still

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pre -ChatGPT and it's an AI company doing procurement

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work for the world. A lot of exit was very good

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for the shareholders, everybody on the cap table.

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But everybody was still toying with the idea

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of, hey, what can AI be in 2019? It's only in

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2022, 23 that... world changed and everything

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became AI centric. So. So on that exit, do you

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mind if I ask, was it five figures, six figures,

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seven, eight, nine, 10? Yeah. Yeah. So it's,

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it's, it was close to a $50 million exit. So

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that's, you know, and, you know, obviously always

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confidential, but very, very thankful for the

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investors who came together and invested. Certainly,

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you know, post that event, I stayed with the

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company for a year and then stepped out. Wow.

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Well, congratulations to you. And that's a big

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move. I'm sure you can understand the world of

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so much unverifiable. claims that my audience,

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I got to protect them on the reality. So Dilip,

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you've been leading the world of AI since 2013.

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You know, I claim to have started in the world

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of AI in 2010, but I downplay it myself. I didn't,

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it wasn't with a specific intention of AI. I

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didn't even know the term, but looking at all

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the things that we built, it's like, holy crap,

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we were building. ai stuff um without even realizing

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it um so it's neat that you've actually had a

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clear vision around ai since then um and so you

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know for the visionaries who are listening in

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um a lot of them can't even imagine a 50 million

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dollar exit um some of them are looking at man

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where do i where do i find the 50 billion dollar

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exits we can go either route um but which um

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you know if you speak for other Speak to other

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visionaries out there. What advice do you have

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for them? What insights do you have about launching

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and moving forward their visions? So in this

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space that we are playing, especially in the

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AI world, Jackson, I think there is a big challenge

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between the hype things that are happening and

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then the real things that are happening. And

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I have seen, and again, There is value, I believe,

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especially in the AI world, in still doing great

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foundational work, which is... You talked about

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Sam Altman, you talked about Bezos and all the,

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you know, certainly Elon Musk. So they have,

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I think, in many ways, cornered the market on

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foundational models, especially LLMs, right?

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So you have three, four, five, maybe seven globally

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that are amazing and they're continuing to get

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better and compete with each other. You know,

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just Google just came out with a new release

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for Gemini, which is fantastic. And I'm sure

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others. will respond. So that is a multi -billion

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dollar and maybe coming late to the party situation

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there. So if you are a ex -co -founder of OpenAI

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and you can raise $8, $10 billion on a thought,

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certainly do that. And I admire that. But the

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real value creation in my mind is happening in

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the application there. and there's applying all

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these great foundational technologies to solve

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real world problems for companies and if you

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slice it further the near future opportunity

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lies with to me not large companies who already

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have divisions and lots of talent and lots of

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tools and solutions purchased, but mid -market

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companies who are struggling to figure out how

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to kind of narrow this continuously widening

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gap between their ambitions to use AI and getting

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to real value from AI. And this sector is ripe

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for value creation in my mind. so huge and that's

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exactly what we were working on in 2010 um in

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2011 both those uh we and i'm i'm super happy

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to hear it because visionaries again dillip's

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unlocking some secrets that every venture capitalist

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that i've ever talked to um you know in a real

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setting um where we're talking you know in depth

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about businesses mid -target mid -market mid

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-market mid -market um it's always been that

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so with lloyd who was written about in alex hermosi's

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book 100 million dollar offer we had developed

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a software for newspapers to be able to drive

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digital revenue streams because they were getting

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eaten alive by the online world and then At Restaurant

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Connect, where Adam and I were building out software

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for reservations and dining room management,

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same thing, mid -market. Trying to help the restaurants

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that were at mid -market level was ultimately

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the key for scale on both of those brands and

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companies. And so we're talking about the nuts

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and bolts. We're talking about the boring. Aspects

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that get overlooked. Not creating an AI that

00:11:37.450 --> 00:11:40.710
deep fakes my photo into a ninja. Thank you,

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AI. That was fun. Thank you, Jim and I, for doing

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that. But actually finding the practical realities

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of what are the pain points? What are the weaknesses

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that these businesses, that these brands, that

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people are facing that other people don't want

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to acknowledge? That's where the financial successes

00:11:59.409 --> 00:12:02.049
can come in. And so, visionaries, we're not talking

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about chasing money. As much as if you yourself,

00:12:05.610 --> 00:12:08.309
even if you're not using AI right now, if you

00:12:08.309 --> 00:12:10.990
have five to 10 years of expertise in what you

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do, you know the pain points, you know the challenges.

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You can start tying that to AI tools and to mentors

00:12:18.090 --> 00:12:22.009
like Dillip and say, how do I bring solutions

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to life for the people who are struggling? with

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matters that I have expertise in. Dilip, what

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are your thoughts on that? Feel free to completely

00:12:29.840 --> 00:12:32.019
haymaker me and say that's not what I meant,

00:12:32.139 --> 00:12:35.279
or feel free to run with me on this. Yeah, no,

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I very much align. To that thought, Jackson,

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and I'll add a couple of elements to it. So if

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you think of what AI is today, right? And I say

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this to all business leaders, right? All entrepreneurs,

00:12:50.899 --> 00:12:54.600
all visionaries. Well, AI is the first technology

00:12:54.600 --> 00:12:59.500
or first software technology where you don't

00:12:59.500 --> 00:13:04.940
need to learn AI to use AI, right? And that is

00:13:04.940 --> 00:13:08.220
a game changer. Because all you need to do is

00:13:08.220 --> 00:13:13.480
to ask a question and let's call it a prompt.

00:13:13.659 --> 00:13:16.960
And it provides you with fantastic response to

00:13:16.960 --> 00:13:20.259
that question at very deep level, depending upon

00:13:20.259 --> 00:13:24.159
how good of a question you can ask. Correct.

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Now, guess who can ask really good questions?

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These are the people you just. talked about,

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people who have 10, 15, 20 years of expertise

00:13:33.139 --> 00:13:36.000
in their domain, they really don't need to learn

00:13:36.000 --> 00:13:40.000
AI. They just need to learn to use AI. And by

00:13:40.000 --> 00:13:42.559
asking the right question, they can create tremendous

00:13:42.559 --> 00:13:46.379
value for themselves and certainly the stakeholders

00:13:46.379 --> 00:13:50.899
they may be serving. So 100 % align with you

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there. And it's a great opportunity to create

00:13:54.759 --> 00:13:58.039
value now. I love that. And this goes back to

00:13:58.039 --> 00:14:00.779
us saying that most of the market that struggles

00:14:00.779 --> 00:14:03.080
financially doesn't like, but it is a very strong

00:14:03.080 --> 00:14:04.879
and important truth to realize. The rich get

00:14:04.879 --> 00:14:08.279
richer. The rich really do get richer. This is

00:14:08.279 --> 00:14:12.100
a natural law called the compound effect. And

00:14:12.100 --> 00:14:13.779
we can't avoid it. You can hate the law. You

00:14:13.779 --> 00:14:15.440
can hate the law of gravity that it keeps you

00:14:15.440 --> 00:14:18.139
grounded. Or you can learn to say, you know what,

00:14:18.179 --> 00:14:20.940
how do I use this law for myself? And so if you

00:14:20.940 --> 00:14:23.659
have a rich database of information in your brain

00:14:23.659 --> 00:14:26.820
to access. then you can utilize that with AI

00:14:26.820 --> 00:14:30.679
to be able to explore how can I maximize the

00:14:30.679 --> 00:14:32.379
data that I have, the information that I have

00:14:32.379 --> 00:14:34.659
in order to create abundance for my life. It

00:14:34.659 --> 00:14:37.940
is amazing what ChatGPT and what Jim and I and

00:14:37.940 --> 00:14:40.440
other AIs can use for that exactly. So Dilip,

00:14:40.440 --> 00:14:43.940
let's dive deeper into the vision. Where is your

00:14:43.940 --> 00:14:49.240
vision taking you? Well, I think it's all about

00:14:49.240 --> 00:14:53.919
harnessing the power of AI to have real impact.

00:14:54.620 --> 00:14:57.480
And the real impact could be businesses, real

00:14:57.480 --> 00:14:59.779
impact could be certainly in the social context.

00:15:00.580 --> 00:15:04.519
And I think we are just at very early stages

00:15:04.519 --> 00:15:10.740
as a community, as a race, as humans exploring

00:15:10.740 --> 00:15:16.059
that. So if we can do so, I think we can create.

00:15:17.519 --> 00:15:20.519
certainly much better and more successful businesses.

00:15:20.779 --> 00:15:24.340
We can certainly impact quality of human life.

00:15:24.720 --> 00:15:27.980
And I'm an optimistic guy. So with all the challenges

00:15:27.980 --> 00:15:30.860
AI produces in parallel to all the opportunities,

00:15:31.019 --> 00:15:34.500
I believe we will overcome those challenges and

00:15:34.500 --> 00:15:38.659
leverage this for overall good. And that's the

00:15:38.659 --> 00:15:43.639
vision that I buy into, a very optimistic future

00:15:43.639 --> 00:15:47.889
that I see with this vision. Dilip, what are

00:15:47.889 --> 00:15:51.389
some of the practical application layers that

00:15:51.389 --> 00:15:53.850
you see that we're on the cusp of cracking right

00:15:53.850 --> 00:15:56.370
now or that maybe just came out and you're excited

00:15:56.370 --> 00:16:01.889
because it's actually usable? I think if you

00:16:01.889 --> 00:16:06.210
look at applications, they are in every function,

00:16:06.389 --> 00:16:13.049
every domain in the world. To the point you were

00:16:13.049 --> 00:16:17.340
making earlier, Jackson, one element to think

00:16:17.340 --> 00:16:23.379
about here is mid -market businesses can become

00:16:23.379 --> 00:16:28.820
big businesses in an AI world. I'm trying to

00:16:28.820 --> 00:16:31.039
recall the source of this information, but I

00:16:31.039 --> 00:16:32.779
think I was reading somewhere that there'll be

00:16:32.779 --> 00:16:36.159
going to be more billionaires, more millionaires

00:16:36.159 --> 00:16:38.340
that'll be created over the next 10 years than

00:16:38.340 --> 00:16:43.299
ever in the human history because AI has that

00:16:43.299 --> 00:16:46.960
power. I'm going to add a practical example of

00:16:46.960 --> 00:16:49.179
that real quick and then let's dive right back

00:16:49.179 --> 00:16:53.360
in because I heard the quote too, and I believe

00:16:53.360 --> 00:16:57.159
one of the people who spoke about this was the

00:16:57.159 --> 00:17:01.120
CEO of NVIDIA. And granted, while he's got some

00:17:01.120 --> 00:17:04.039
of the most information on AI, he's got a bias,

00:17:04.200 --> 00:17:07.599
right, too, that exists with that. But I believe

00:17:07.599 --> 00:17:09.380
it because of my own practical experience as

00:17:09.380 --> 00:17:12.140
well. So, guys, I'm going to show you two different

00:17:12.140 --> 00:17:15.420
systems that I built with AI. that I have no

00:17:15.420 --> 00:17:17.619
business building, that I should not have the

00:17:17.619 --> 00:17:20.680
ability to create. One of them is for Wild Words

00:17:20.680 --> 00:17:22.920
Retreat. Huge shout out to Sue Anderson, who's

00:17:22.920 --> 00:17:25.660
launched this amazing retreat in Tennessee. And

00:17:25.660 --> 00:17:30.299
we needed a calculator to build retreat experiences

00:17:30.299 --> 00:17:33.200
for brands. And so I literally built this with

00:17:33.200 --> 00:17:35.559
AI going in and saying, hey, we want to be able

00:17:35.559 --> 00:17:39.799
to create an experience where brand owners and

00:17:39.799 --> 00:17:42.990
founders and... Culture teams can come in here

00:17:42.990 --> 00:17:45.150
and say, I want lodging for this many nights

00:17:45.150 --> 00:17:47.490
for this many people, my check in checkout date.

00:17:47.670 --> 00:17:51.509
I want a keynote speaker. I want a full time

00:17:51.509 --> 00:17:54.029
culture facilitator as part of this. I want photography

00:17:54.029 --> 00:17:57.750
included, et cetera. And. We built an AI to help

00:17:57.750 --> 00:18:00.049
expand upon what are some of the liabilities

00:18:00.049 --> 00:18:01.609
to prepare around and how do we put together

00:18:01.609 --> 00:18:05.369
an itinerary? And so it even calculates in different

00:18:05.369 --> 00:18:08.329
levels of discounts based on the type of experience

00:18:08.329 --> 00:18:10.609
that you want to build out. This took me a few

00:18:10.609 --> 00:18:13.990
hours to build out. That's crazy. I would have

00:18:13.990 --> 00:18:17.200
literally charged a client. over a hundred thousand

00:18:17.200 --> 00:18:19.740
dollars to build this and it would have taken

00:18:19.740 --> 00:18:21.859
at least six to eight months to build it prior

00:18:21.859 --> 00:18:25.299
to ai at least for my expertise another system

00:18:25.299 --> 00:18:27.579
very similar this is for my brand but anybody

00:18:27.579 --> 00:18:30.660
can use this i've created a world -class advisor

00:18:30.660 --> 00:18:33.140
leadership training system and what it does is

00:18:33.140 --> 00:18:36.759
it allows sales reps or customer support reps

00:18:36.759 --> 00:18:40.200
to put in a name and a brand to evaluate strengths

00:18:40.200 --> 00:18:42.599
weaknesses opportunities and threats prior to

00:18:42.599 --> 00:18:46.369
calling somebody and then know what are the responsible

00:18:46.369 --> 00:18:49.170
questions that I should be asking as an advisor

00:18:49.170 --> 00:18:51.849
to guide people through a process to find out,

00:18:51.890 --> 00:18:53.869
are they pre -qualified to work with us or not?

00:18:53.970 --> 00:18:56.490
And at the end of the report, once you've recorded

00:18:56.490 --> 00:18:58.190
all of your notes and you've had this conversation,

00:18:58.369 --> 00:19:00.890
you hit finish, it actually gives you your notes.

00:19:00.930 --> 00:19:03.390
You can just drop it right into go high level

00:19:03.390 --> 00:19:06.210
or your serum of choice. And it has built into

00:19:06.210 --> 00:19:09.890
it a first -class advisor labs that I designed

00:19:09.890 --> 00:19:12.730
as an escape room style experience to teach people

00:19:12.730 --> 00:19:15.839
to become. better advisors because it's just

00:19:15.839 --> 00:19:17.579
so stinking hard to find people who are great

00:19:17.579 --> 00:19:20.220
advisors so those are two examples of systems

00:19:20.220 --> 00:19:23.880
that now anybody could take those systems even

00:19:23.880 --> 00:19:25.700
and go to ai and say hey create me something

00:19:25.700 --> 00:19:28.240
similar and boom it's going to create something

00:19:28.240 --> 00:19:30.940
based on on your it's crazy what we're able to

00:19:30.940 --> 00:19:33.680
duplicate and create these days those are two

00:19:33.680 --> 00:19:36.400
applications that if i get ahead of the market

00:19:36.400 --> 00:19:38.940
on it and i launch it nobody else cares to pay

00:19:38.940 --> 00:19:41.529
attention to what we're building with it those

00:19:41.529 --> 00:19:43.329
are both $50 million, $100 million projects.

00:19:44.150 --> 00:19:46.769
So Dilip, again, feel free to dive into the application

00:19:46.769 --> 00:19:48.710
or feel free to just continue to expand upon

00:19:48.710 --> 00:19:51.670
what we're talking about. Yeah, I think that,

00:19:51.690 --> 00:19:53.670
by the way, thanks for sharing those. That's

00:19:53.670 --> 00:19:57.650
fantastic. But, you know, the AI has progressed

00:19:57.650 --> 00:20:01.569
to that level where you could literally prompt

00:20:01.569 --> 00:20:05.950
to get to a application outcome. And again, you

00:20:05.950 --> 00:20:08.339
being in the space, you know it's... Not really

00:20:08.339 --> 00:20:10.579
that simple. There's still dots to be connected

00:20:10.579 --> 00:20:14.220
after the initial work. But still, the time has

00:20:14.220 --> 00:20:17.160
gone from six months to maybe six days or certainly

00:20:17.160 --> 00:20:21.289
six weeks. Back to painting, to your point. You

00:20:21.289 --> 00:20:24.509
get me so excited, Dilip, about this. It goes

00:20:24.509 --> 00:20:26.349
back to that story of Picasso where somebody

00:20:26.349 --> 00:20:28.410
says, can you paint me this? And then they say,

00:20:28.450 --> 00:20:30.390
how much it costs? And he says, it's $10 ,000.

00:20:30.589 --> 00:20:32.789
I say, what? It only took you 10 minutes. Guys,

00:20:34.210 --> 00:20:37.450
it took me 15 years of working with brands to

00:20:37.450 --> 00:20:38.950
be able to create something that sophisticated.

00:20:39.849 --> 00:20:43.769
But yes, it did only take me... four to six hours

00:20:43.769 --> 00:20:46.329
of tinkering. I've spent about 20 to 30 hours

00:20:46.329 --> 00:20:49.430
optimizing it. But again, these are those applications

00:20:49.430 --> 00:20:51.609
that if you have the expertise and you're willing

00:20:51.609 --> 00:20:53.670
to dive in and learn from it, and you're willing

00:20:53.670 --> 00:20:55.990
to, and then go to mentors like Dilip, like,

00:20:56.049 --> 00:20:57.809
Hey, bounce these ideas off of them and be like,

00:20:57.829 --> 00:21:00.170
Hey, how do we work together on stuff? Incorporate

00:21:00.170 --> 00:21:03.250
men like this into your life so that they can

00:21:03.250 --> 00:21:05.170
guide you on creating more abundance of success.

00:21:05.250 --> 00:21:08.349
So yeah, you nailed it. It's not that easy, but

00:21:08.349 --> 00:21:13.369
it is available. And, and, and, i think you and

00:21:13.369 --> 00:21:15.549
many many in your audience already know this

00:21:15.549 --> 00:21:20.150
so to to build an application you need at least

00:21:20.150 --> 00:21:23.430
three components right so one is just to get

00:21:23.430 --> 00:21:27.609
your data right correct um second is to build

00:21:27.609 --> 00:21:31.710
that application in ai and then the third one

00:21:31.710 --> 00:21:34.589
is to make sure it integrates with the systems

00:21:34.589 --> 00:21:38.289
external internal so it is usable where you need

00:21:38.289 --> 00:21:42.569
it right And in these three components, this

00:21:42.569 --> 00:21:45.950
is what has changed in an AI world. Well, who

00:21:45.950 --> 00:21:51.710
can get your data AI ready? Well, AI is the best

00:21:51.710 --> 00:21:56.569
technology to get your data cleaned up, indexed,

00:21:56.569 --> 00:21:59.569
and in the tech world, create embeddings and

00:21:59.569 --> 00:22:02.569
make sure it is right and leverageable by your

00:22:02.569 --> 00:22:05.890
AI application. So that is great advancement

00:22:05.890 --> 00:22:08.410
in itself. You have the data, which used to take

00:22:08.410 --> 00:22:11.720
forever. You just shared some fantastic examples

00:22:11.720 --> 00:22:15.980
of leveraging AI to be your assistant or partner

00:22:15.980 --> 00:22:18.559
in building our application. But you certainly

00:22:18.559 --> 00:22:20.960
put your domain knowledge and expertise on top

00:22:20.960 --> 00:22:24.339
of it, without which this probably won't be feasible.

00:22:24.460 --> 00:22:26.940
It'd be worthless. Yeah. Yep. It'd be worthless.

00:22:27.079 --> 00:22:29.299
We tried. I've actually done that. We experiment

00:22:29.299 --> 00:22:33.359
with people. Absolutely. And then you have to,

00:22:33.420 --> 00:22:35.859
you know, even if it's externally or internally

00:22:35.859 --> 00:22:40.089
facing. If you're solving a scheduling problem

00:22:40.089 --> 00:22:42.910
on a shop floor or you're solving a lead gen

00:22:42.910 --> 00:22:45.950
marketing or qualifying lead problem for the

00:22:45.950 --> 00:22:49.430
external world or your sales teams, they have

00:22:49.430 --> 00:22:52.289
to integrate with other systems in your business.

00:22:52.450 --> 00:22:56.890
If these three things can happen, you can have

00:22:56.890 --> 00:23:01.609
immediate impact. We are feeling the pain right

00:23:01.609 --> 00:23:05.119
now, Dilip, of not integrating it properly. Right.

00:23:05.240 --> 00:23:07.700
We really understand that first class business

00:23:07.700 --> 00:23:10.859
and it is such a challenge to over. And the nice

00:23:10.859 --> 00:23:14.019
thing is it's it's easier to overcome these days

00:23:14.019 --> 00:23:17.519
because you can use systems like ChatGPT to help

00:23:17.519 --> 00:23:19.119
you understand, well, how do I integrate this

00:23:19.119 --> 00:23:21.059
or what all goes into the experience of really

00:23:21.059 --> 00:23:22.920
providing this in a world class way? And it can

00:23:22.920 --> 00:23:25.299
help you. It makes you want to cry. You're like,

00:23:25.319 --> 00:23:27.900
oh, my gosh, I still have to do all this. But

00:23:27.900 --> 00:23:30.160
at least we have clarity these days, whereas

00:23:30.160 --> 00:23:32.200
in the past you were just like shooting in the

00:23:32.200 --> 00:23:37.359
dark. Right. And the component after you build

00:23:37.359 --> 00:23:39.480
these three is probably the most interesting

00:23:39.480 --> 00:23:42.859
part of it is because if you build the AI application,

00:23:43.339 --> 00:23:47.740
it is learning. It's getting better every second.

00:23:48.559 --> 00:23:51.759
As you collect more data, it's getting more sophisticated,

00:23:52.119 --> 00:23:55.519
it's learning more. So there's no versioning

00:23:55.519 --> 00:23:58.819
thing in AI in my world, but as this model is

00:23:58.819 --> 00:24:02.480
getting more data, it's evolving, suddenly the

00:24:02.480 --> 00:24:06.359
same application can do so much more, can go

00:24:06.359 --> 00:24:09.079
so much deeper, can be so much more insightful

00:24:09.079 --> 00:24:12.019
than where it started. Now, remember, starting

00:24:12.019 --> 00:24:14.259
point already is amazing, right? The value creation

00:24:14.259 --> 00:24:17.559
is amazing. But a few weeks later, a few months

00:24:17.559 --> 00:24:21.720
later, as leaders, as domain experts, as visionaries,

00:24:21.720 --> 00:24:25.319
you start realizing, oh my God, I'm solving a

00:24:25.319 --> 00:24:27.720
much bigger problem or I'm solving things that

00:24:27.720 --> 00:24:31.660
we didn't think could be solved before. And I'll

00:24:31.660 --> 00:24:34.119
give you an example of one of the companies in

00:24:34.119 --> 00:24:38.539
my portfolio. They built this mid -market platform

00:24:38.539 --> 00:24:41.680
where from data to value, they can go end to

00:24:41.680 --> 00:24:44.079
end for mid -market companies. And they thought

00:24:44.079 --> 00:24:46.640
they were solving scheduling problems on the

00:24:46.640 --> 00:24:48.819
shop floor, budgeting problems for financial

00:24:48.819 --> 00:24:52.640
institutions. And I walk into this company, it's

00:24:52.640 --> 00:24:54.839
about a $70 million company in Starling Heights,

00:24:54.900 --> 00:24:58.779
and their head of sales stops me. And he said,

00:24:58.799 --> 00:25:02.019
well, I want to talk to you about Sutra .ai,

00:25:02.160 --> 00:25:05.420
which is the company's platform. And I was like,

00:25:05.519 --> 00:25:10.180
why would somebody in hardcore traditional company

00:25:10.180 --> 00:25:13.059
sales want to talk to me? He cornered me for

00:25:13.059 --> 00:25:15.720
20 minutes and explained how he has changed the

00:25:15.720 --> 00:25:18.539
way he's selling to his customers because he

00:25:18.539 --> 00:25:21.240
actually opens this AI and all the application

00:25:21.240 --> 00:25:24.759
that they have on the platform and start taking

00:25:24.759 --> 00:25:29.069
every objection their customer has. away and

00:25:29.069 --> 00:25:32.009
then sits back and say well can you really even

00:25:32.009 --> 00:25:35.230
multi -bid this because i'm the only one who

00:25:35.230 --> 00:25:38.809
can do this today yeah and that was profound

00:25:38.809 --> 00:25:43.029
for me and this person has absolute zero ai background

00:25:43.029 --> 00:25:47.569
and he went from a ai unaware person to an ai

00:25:47.569 --> 00:25:51.529
believer to an ai evangelist like in in six months

00:25:51.529 --> 00:25:55.059
dude that's huge that's exactly Every time a

00:25:55.059 --> 00:25:56.779
company comes to me and says, how much is it

00:25:56.779 --> 00:25:58.559
going to cost for? I say, let's just open AI.

00:25:58.680 --> 00:26:00.940
Let's just open ChatGPT. I don't want to threat

00:26:00.940 --> 00:26:03.619
you on this. Let's just do what it says about

00:26:03.619 --> 00:26:04.940
things. And you can use yours. You don't have

00:26:04.940 --> 00:26:08.460
to use mine. So it is super helpful from a validate.

00:26:08.559 --> 00:26:12.140
And what it's doing in that regard is it's actually

00:26:12.140 --> 00:26:16.539
helping us kill transactional relationships and

00:26:16.539 --> 00:26:20.259
move towards being able to empower true transformation.

00:26:20.920 --> 00:26:22.420
Um, and that's, you know, I don't, I don't want

00:26:22.420 --> 00:26:24.839
to do business with somebody based on, based

00:26:24.839 --> 00:26:27.559
on numbers. I want to do business with somebody

00:26:27.559 --> 00:26:29.380
based on them, inspire me. So I know we're, we're

00:26:29.380 --> 00:26:31.740
actually over time right now. I'm super grateful

00:26:31.740 --> 00:26:33.279
that you stuck around and that you're willing

00:26:33.279 --> 00:26:35.700
to do this. I hope that I inspire you to stick

00:26:35.700 --> 00:26:37.480
around more and come back more. I would love

00:26:37.480 --> 00:26:39.160
to talk to you again. I'd love to pick your brain

00:26:39.160 --> 00:26:41.440
and, and explore what's possible in this world.

00:26:41.500 --> 00:26:44.259
We got 8 billion people, visionaries. to help

00:26:44.259 --> 00:26:46.519
in this world. And those of us who are willing

00:26:46.519 --> 00:26:48.960
and able to get after it and build great legacies

00:26:48.960 --> 00:26:51.640
and make an impact for better, there's just so

00:26:51.640 --> 00:26:53.900
many opportunities when we have the chance to

00:26:53.900 --> 00:26:55.839
join forces. I know, Dilip, you've got lots of

00:26:55.839 --> 00:26:58.079
people in your network already and lots of things

00:26:58.079 --> 00:27:00.059
that you already have going on. But if you're

00:27:00.059 --> 00:27:01.859
inspired to do so, we'd love to have you back

00:27:01.859 --> 00:27:03.940
on the show. And I'd love to, again, connect

00:27:03.940 --> 00:27:05.660
with you personally about the projects that we

00:27:05.660 --> 00:27:08.200
have going on. If somebody else in the audience

00:27:08.200 --> 00:27:10.599
wants to connect with you, what's the best way

00:27:10.599 --> 00:27:17.150
to do so? Just Dilip. at dubey .ai. So d -u -b

00:27:17.150 --> 00:27:20.750
-e -y .ai is my site. You can come there or just

00:27:20.750 --> 00:27:23.710
email me and I'll love to continue the conversation.

00:27:24.269 --> 00:27:26.329
And Jackson, thank you so much for having me.

00:27:26.390 --> 00:27:28.529
This was fun. So great to see you're already

00:27:28.529 --> 00:27:31.990
doing fun things in this world. Super inspired

00:27:31.990 --> 00:27:34.930
and would, of course, be an honor and pleasure

00:27:34.930 --> 00:27:38.109
to be back. Oh, we're excited, man. Vision Pros,

00:27:38.230 --> 00:27:39.710
you heard it. We'll see you next time on Vision

00:27:39.710 --> 00:27:41.269
Pros Live. Thanks for being here, everybody.

00:27:41.690 --> 00:27:43.230
Have a fantastic rest of your day. Thank you

00:27:43.230 --> 00:27:45.150
for being here today. I'm really happy that you

00:27:45.150 --> 00:27:47.390
tuned in to Vision Pros Live. I'm looking forward

00:27:47.390 --> 00:27:50.950
to seeing your reactions as these episodes continue

00:27:50.950 --> 00:27:52.910
to move forward. This is gonna get more and more

00:27:52.910 --> 00:27:55.230
fun. We'll have more and more engagement as well.

00:27:55.250 --> 00:27:57.150
We'll invite people to participate in the show

00:27:57.150 --> 00:27:59.329
and thank you for giving us your time and attention.

00:27:59.650 --> 00:28:02.269
Have an excellent time building out your vision

00:28:02.269 --> 00:28:03.589
and becoming a vision pro yourself.
