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AI Won’t Replace Financial Advisors. It Could Make Them More Human
24th August 2026 • Views from 6,230 • Ryan Nauman
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Host Ryan Nauman welcomes Matt Halloran (“Matt GPT”), Chief Evangelist at Zocks, to discuss how AI is affecting wealth management and why many advisors still underuse it due to fear, unrealistic expectations, compliance concerns, and industry noise. Halloran argues advisors are only scratching the surface with note-taking and content tools, while the bigger opportunity is integrating structured data across the tech stack to uncover client opportunities, speed service, and drive organic growth. He recommends talking with peers, ensuring secure two-way integrations, and testing platforms side by side. The conversation covers building trust through incremental adoption and social proof, how AI-driven faster communication can help during bear markets, and how reclaimed time should be reinvested in clients, teams, personal wellbeing, and relationship building. Halloran also notes AI can support compliance via accurate transcriptions and reduced errors.

Connect with Ryan Nauman:

LinkedIn: https://www.linkedin.com/in/ryannauman1/

X: https://twitter.com/LkTahoeBadger

www.AdjustedForRisk.com

Learn more about Zocks: https://www.zocks.io/

00:00 Show Kickoff AI Focus

00:54 Meet Matt Halloran

01:39 Career Path Influence

03:51 Kindness Trust Culture

06:14 Why Advisors Fear AI

09:47 AI Beyond Content

12:28 Choosing AI Tools

14:47 Clients Bring AI

16:22 Trust Compliance Steps

20:32 Bear Market Speed Service

23:57 Faster Client Communication

24:42 Using Freed Time Well

27:07 Feed Your Soul

28:50 Next Gen Advisor Skills

31:03 Preparedness Story

34:10 Winning Over Skeptics

39:01 Organic Growth Plays

42:41 Augmented Intelligence

45:01 Compliance Safety Net

46:54 Wrap Up And Resources

Transcripts

Speaker:

Ryan Nauman Market Strategist Adjusted for Risk:

Welcome everyone to the Adjusted for Risk

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podcast from the shores of Lake Tahoe.

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I'm Ryan Nauman, the host of the show.

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Over the past couple of years,

the wealth management space

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has been grappling with AI.

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First, it was understanding what AI is.

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Now, it is all about how to

implement it to enhance the

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client and advisor experience.

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Well, I have on an industry expert who

is going to share his thoughts on the

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impact AI is having on wealth management

and the opportunities that it opens up.

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All right, enough from me.

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I have already talked enough.

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Let's go ahead and bring

on the star of the show.

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My guest, he doesn't need

much of an introduction.

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You all know him, but here it is anyways.

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I am honored and very excited

to welcome Matt Halloran.

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Matt is also known as Matt GPT, and Matt

is the chief evangelist at Zocks and is a

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very popular presenter and podcast host.

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Matt, thank you so much

for coming on the show.

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MattGPT: Thanks

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Ryan Nauman Market Strategist Adjusted for Risk:

honor to have you on.

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Really excited about

this, uh, conversation.

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Can you please tell us a little bit

more about yourself, Zocks, and how does

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one get the title of chief evangelist?

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MattGPT Halloran Chief Evangelist Zocks:

Well, uh, first off, uh, thank you

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very much for having me on your show.

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I, I really, really appreciate it.

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Um, so my, my journey in financial

services started in:

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I worked for, uh, what's now

known as Carson Consulting.

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It was called Peak, and I was the life

coach, uh, at that consulting company.

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And I noticed very quickly, uh,

that, um, there weren't a lot of

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non-advisor influential people.

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Everybody had their licenses

and were an advisor that made

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a million dollars 10 years ago,

and they were all on the stages.

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And so I went to Omani and the other

people on the team and was like,

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"Hey, I really wanna get on stage.

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Like I, I, I wanna talk

about communication,

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interpersonal relationships."

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I was a therapist before.

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And they were like, "Okay."

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So they gave me a platform.

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And then I partnered with, uh, with my

old business partner named Kirk Low.

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He runs Proud Mouth, which is

a company I, I co-founded, and

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we wanted to try to unlock the

key to being influential, right?

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So how do you really take, uh, a person

who has really no clout within the

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industry and really make them influential?

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And so we tested all sorts

of stuff on me, dude.

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Some of it worked and some of it didn't

work, but so much of it did that, that a

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couple years ago I was voted the 10th most

influential person in financial services.

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And it's because if you have a proven

method, you have a good distribution,

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and more importantly, you're really

kind and generous to people, people

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then help you become more influential.

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So that is actually how I ended

up being the chief evangelist for

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Zocks, because I'd built such a huge

network of people who I'd been trying

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to be kind to, and Zocks was really

missing that human component, 'cause

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they're a fintech company, right?

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Um, and they saw what I offered, so when

I came here I presented the now what

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marketing strategy, which was, "Okay,

10 hours a week back in your life.

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What are you gonna do with that time?"

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Everybody else is just

talking about features.

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If we start talking about advisors'

lives, we'll have even greater impact.

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And, you know, I'm at 750,000 impressions

from content, uh, you know, since I

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started here and, and we're starting

to really change the conversation

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Ryan: You know what, Matt?

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I love that.

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I thought, I love that you

brought up just being kind, right?

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I feel as if, for whatever reason,

I'm not gonna get into it, but

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we've lost that sense of kindness

in a lot of ways, and it's amazing.

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It's like that and respect.

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I always get so frustrated.

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It's like, they're very easy to do.

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It's very easy to say

please and thank you.

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Doesn't really take much effort, but

it's a lo- I feel like it's a lost,

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I don't know, characteristic or trait

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MattGPT: Well, it, it makes me sad,

to be really honest, that, that, you

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know, instead … It's good for you.

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See, you, you can believe in altruism,

like, you know, "Hey, Matt, you do

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this because, you know, you're just

trying to be a, a kind person, and

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it's part of my personal mission

statement," and all of that stuff.

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But, but to be really honest, I

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It also feels good.

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I love helping people.

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I love being kind to people.

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I love when people put time on my calendar

because they wanna pick my brain on what

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I've been talking about and doing for

the last 20 years in financial services.

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And I also like raising people up.

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Uh, I believe that there is more

than enough for all of us, dude.

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I really do.

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And so I don't have that scarcity

mindset where I'm gonna try to, you

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know, poke you in the eye so that I win.

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No, man, I'm gonna put my arm

around you and let's win together.

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And, um, it, it … That's

what my influence is all about.

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Now, there's other influence that's

fairly, you know, um, uh, sensational, or

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they're very controversial, or whatever.

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There's lots of types of influencers.

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Um, but Zocks really liked the

idea that, you know, my, my overall

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thing is I love advisors, man.

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I love advisors.

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The amount of responsibility that

your audience has, most people don't

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understand that level of pressure, stress.

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Uh, you know, I've watched a

couple of your other shows.

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Most advisors didn't get into this

industry to become marketers, you know,

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to write systems, to be tech people.

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They came 'cause they wanted

to help people with their

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money and financial decisions.

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And, um, I wanna do whatever I can to

continue to support this amazing industry

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Ryan: That's awesome, Matt.

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I love it.

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You're doing a fantastic job,

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MattGPT: Thanks, man

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Ryan: job.

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And also, and we're gonna get onto the

conversation, but I feel as if we all

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know this industry is built on trust.

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There's no greater way of building trust

through kindness and, know, respect.

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So kudos.

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Kudos to you, Matt.

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MattGPT: Thanks, Tom

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Ryan: do you feel that financial

advisors are using AI tools

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to their full capabilities?

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And why are they not using AI

tools that are accessible to them?

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There's a lot of AI tools, whether

it's just basic ChatGPT or Claude.

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Uh, what's holding them back?

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MattGPT: It's fear, dude.

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Uh, I, I mean, you know, and the

fact that we're in an industry that

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is so slow to adopt technology.

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And I'm gonna, I'm gonna

actually make a statement that's

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gonna say that that's wrong.

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I, I cannot believe how quickly,

uh, AI has been adopted in

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financial services practices.

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Um, now it is not structured AI.

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It is not AI that is specifically

built for them, right?

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I mean, most people, well, they

don't … Every time you Google,

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you're using AI, dude, right?

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You're using Siri, you're using AI, right?

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Um, so I think it- advisors are starting

to do that a little bit more, but

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they're just scratching the surface.

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Uh, they're, they're,

they're saving time, right?

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They're making some things more efficient.

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Uh, they're making sure that their data

going from this place to this place

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to this place is actually consistent,

which was always a big nightmare for all

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the advising offices that I worked at.

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But the next phase of what AI is going

to be is how can you use this large

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language model and this structured

data to actually service your clients

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better and grow your book of business?

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Um, there aren't a lot of people who

are building those systems, um, whereas

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that has been a major focus for us.

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A- and the other thing too is I think

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There's so much noise around AI.

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Uh, I mean, it, if you run a Google

search or if you go on LinkedIn and

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type in AI for advisors, it's just

like … And most of it's crap.

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It's either AI-generated slop, or

it's just, you know, somebody's

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opinion about something that shows

unbelievable levels of ignorance.

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And then you have a couple of bubbles

up of, of people saying smart stuff.

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Most people don't really re- realize

the power of what AI can do for you,

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what it can do for your business,

what it can do for your team.

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Uh, I mean, uh, we just launched

something recently and, and this to

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me, I get a little choked up, and

not, like, in a bad way, but, like,

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in a really excited, happy way.

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Um, one of the biggest issues that I

always had in consulting the firms that

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I worked with was the fact that they

had all of these disparate systems.

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Their financial planning tool didn't

talk to their tax tool, didn't

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talk to their CRM, didn't talk to

their email system, didn't talk

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to their calendar system, right?

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Zocks is, like … So I, I like

to equate it to an Oreo cookie.

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So here's your tech and,

and you're the advisor.

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Zocks is the thing in the middle that

makes all of it really communicate and

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work together, and if you could just go

into your computer and say, "Hmm, how many

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people did I talk to about a 401conversion

last year that didn't do it?"

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And all of a sudden you have a list, dude.

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Uh, I mean, how many people

had grandkids last year?

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What, h- 529 plans, right?

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How many people were supposed to do a

Roth conversion that didn't last year?

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How many people brought up

held away assets that we didn't

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gain in the last six months?

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Dude, this is the sort of stuff that

large language models and AI can do

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for you that changes the industry.

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This is a game-changing thing that is

now available to all of your listeners

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that I've been waiting for since 2006.

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Ryan: Yeah, I agree.

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I think it's fantastic.

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Matt, do you think there's a

lot of just misconception or

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maybe misuse of AI right now?

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Financial advisors, they might be using

AI, but maybe it's just for content

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creation or emails, just generic

communication type tasks.

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Do you think advisors are finally

accepting it to more than what it

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really is and what it should be used

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for?

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MattGPT: I, I think w- unfortunately,

most financial advisors think binary.

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It's either y- good or bad, on or

off, it works or it doesn't, and

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that's actually not how AI works.

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It's garbage in, garbage out.

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And so unfortunately, a lot of

advisors get very frustrated

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with AI because it doesn't output

what they want it to output.

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That's because they're not

inputting the right stuff, dude.

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And so, um, you can make AI sing

if you know how to just ask the

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right questions and have it be

clearer and clearer and clearer.

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Um, I, I had a, I had a, a, a woman

came up to me at, at a conference a

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little while ago and she said, "I found

four mistakes in your AI note taker."

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I was like, "Okay."

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She's like, "Well, it

shouldn't have four mistakes."

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Uh, y- d- did you ever have

mistakes when you took notes, lady?

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I mean, come on.

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Now, please understand, she was an

engineer, and I mean, we all know

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what working with engineers are like.

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But that's the sort … They have

really unreal expec- unrealistic

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expectations of what these systems can

do, and that they actually get stronger,

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better, smarter, faster over time.

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And so I had a, I had a, a guest

on our show, uh, we just launched

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a podcast called Better Practice

Better Life, uh, Human First with AI,

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and the guest was talking about you

need to have AI implemented in your

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practice for an entire calendar year

before you'll ever know if it works.

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And you know as well as I do, brother,

it's the shiny thing at the conference,

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and it takes their attention, and

they think it's gonna solve all

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their problems, but it doesn't

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Ryan: I- that's a great point about

having it for a full year before you know.

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But so then do you think, if I implement

AI today, one test, it i- like you said

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at the beginning, it is moving so fast.

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In a year you might think, "Well,

there's something new and shiny out

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that's doing something different.

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What am I doing here?"

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Like, and you brought it

up too about the noise.

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Like, how do financial advisors shift

through the noise to figure out exactly

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what they need in an AI platform,

AI agent, is it right for them, and

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will it be okay for them in a year?

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MattGPT: Yeah.

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Um, so I think what you really need to

do is you need to talk to your friends.

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A- and, and advisors don't do

this as much as they should.

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I, I remember, um, uh, it was

probably m- early:

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on with an advisor, and w- I, I

was life coaching this advisor.

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We had a process called the blueprinting

process that I took the advisors through.

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And, um, he said, "Matt, what,

what you don't understand

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about us is we're on an island.

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It … I don't have any

other coworkers really.

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I have an assistant."

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Yeah, he was a big producer

with one, one team member.

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He's like, "All I do is see clients

all day, and then I go home, uh, and

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then I, you know, I'm with my family."

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He's like, "I don't really

have other people to talk to."

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And I was like, "Why don't

you go to conferences?"

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"Oh, they're a waste of time."

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Really?

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Like, you don't wanna sit at a table

with 20 other advisors and be able to

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commiserate and have real conversations?

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Especially because some of them might be

able to help you solve their problems.

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And I think that's one of the things

that, um, really does need to happen,

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is you need to have those conversations.

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That's number one.

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Number two is it … I talk

about this all the time, how

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to make your first AI decision.

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The first one is, um, you have

to look at your tech stack.

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So whatever AI you're looking

for has to securely integrate two

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ways with your tech stack, right?

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And then number two, test

them all side by side.

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All of us will offer you a trial.

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Well, I don't know if all of

us do, but almost all of us do.

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And see what user interface you like.

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See which one gives you

the outputs that you want.

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You have the opportunity

to make these decisions.

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And the Ezra Group, uh, just did a study

a little while ago about how quickly,

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like literally, you can integrate

all of the stuff, uh, with, with an

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AI platform, and it's, like, days.

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So within days, your audience can be

entirely up and running testing two

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different, uh, you know, AI systems back

to back and side by side so that they can

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make a better, more informed decision.

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It's … Uh, that's what I would

really recommend that they do.

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Talk to your friends.

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Test them side by side.

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Ryan: That's funny when you say days.

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I-- initially when

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MattGPT: Yeah.

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Ryan: thinking

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MattGPT: No.

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Days, dude

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Ryan: and, and it goes back to what

you were saying earlier, this industry

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is so slow in adapting new technology,

except for now they're forced…

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MattGPT: That's right

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Ryan: to, right?

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Otherwise they're, I don't

wanna say it, but they might be

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done

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MattGPT: no, uh, and I'll say it for you

'cause I've actually said this from many,

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many stages, is AI is the comet to coming

to kill all of you dinosaurs, right?

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So th- this is not…

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In fact, uh, I'm, I'm working on an

article right now, uh, for, for one of

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the trade pubs basically talking about,

um, your clients are bringing you AI.

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Uh, and I'm sure you've

heard this at conferences.

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You've probably heard this from clients.

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Man, I had a client who came in and

brought me a spreadsheet of, of all of

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the trades that we executed in the last

six months and, and was ask- you know,

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AI was like, "This was a bad trade."

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Right?

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And advisors are flaming pissed about it.

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They don't realize that guess what?

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They were there doing that before.

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They were just taking notes on

watching CNBC, or they're talking to

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their crazy uncle who made all the

money in the stock market, or they

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were at dinner and somebody had said

something somewhere else, or they're

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reading The Wall Street Journal.

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This is just a much faster, more

succinct way to go ahead and aggregate

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large language pieces of data, right?

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But if you're not gonna move in this

direction, first off, your practice is not

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gonna be worth as much when you sell, and

two, your clients, when it comes to speed

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to service, which is really what AI does,

and uncovering opportunities for you in

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your existing book of business, those are

the things that if you're not doing that,

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you are a dinosaur, and unfortunately,

we're the big comet coming to kill you

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Ryan: You're exactly right.

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Exactly.

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I'm glad you said it.

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Glad you said it

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MattGPT: Uh, uh, I'm allowed to say that.

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I actually got that one

approved at Tox here, so

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Ryan: Awesome.

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Awesome.

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mentioned it, we talked about it

earlier that this industry is built on

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trust, whether it's the vendor, technology

vendor like Zocks being trusted by

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the financial advisor or the financial

advisor having the trust of the clients.

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Do you think advisors fully

trust AI at this point?

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MattGPT: Man, dude, I'm

gonna go back a little bit.

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I don't think advisors

trust tech still, right?

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I, I mean, you know, you're

oversold on your CRM, it's gonna

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solve all of your problems.

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Your financial planning tool is the

greatest financial planning tool.

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You're never gonna have to go ahead

and blah, blah, blah ever again, and

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it doesn't live up to expectations.

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So there's been a pattern over time

that, that AI has even a heavier

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lift because of how much it can do.

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What most advisors are doing

is they're starting with like,

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you know, low-risk things.

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Again, note takers, that's where our

system, pretty much all of us started.

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Um, but, but they're really

not integrating things.

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They're afraid of how it's gonna talk

and all of those sorts of things.

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And, and this is gonna be somewhat

of a shameless plug, but it's really

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important to me as a person who's been

working in this industry for so long.

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Everything that Zocks built was

built for SEC and FINRA realities

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and compliance and privacy in mind.

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And so, like we don't record anything.

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Ours is live transcription, which

is kind of a big deal, right?

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We have ways to protect

PII going back and forth.

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A lot of other organizations

don't have that, and I think that

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trust is gonna be built over time.

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I think, you know, you, you, you

use the note taker, uh, and you see,

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"Holy Moses, I missed a whole bunch of

stuff," and then you go from note taking

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to, you know, having a meeting prep.

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With the click of a button, you

know, you're prepared for your

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meeting in minutes instead of hours.

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And then you go ahead and click the

button to do a lot of the follow-up tasks.

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And then you click the button to go ahead

and integrate with your e-money and all

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of the different systems that are there.

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And then you start going ahead and

looking at all of the structured

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data and asking it questions.

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But I think it's an incremental thing,

um, that once you get confident with this

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level, you're gonna move to this level.

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In fact, that's really what my job

is now, is to get the thousands

353

:

of advising offices that are

using us to take that next step.

354

:

Because most of our clients, they

just … The, the note taker is like

355

:

the greatest thing since sliced bread.

356

:

But once they turn on a couple other

buttons and they see how it all starts

357

:

working together, is really amazing.

358

:

The other thing too is

look at social proof.

359

:

Social proof, um, so, uh, my favorite

sales book of all times, uh, i- is,

360

:

is a book called, uh, Principles

of Influence by a guy named Dr.

361

:

Robert Cialdini.

362

:

And so Ryan, I don't know

if you've read that book.

363

:

If not, dear God,

everybody needs to buy it.

364

:

And w- it talks about

365

:

Ryan: I just wrote

366

:

MattGPT: Yeah, wonderful.

367

:

It, it's the, it's the ethical

influence, like how do you get

368

:

people to do what they wanna do?

369

:

And one of the most important ways

to build trust is social proof.

370

:

So when you have organizations

like Hightower, Osaic, Cetera,

371

:

right, Kestra, Cambridge, right?

372

:

You've got these huge firms that, that

have looked at us and said, "Wow, uh,

373

:

we're gonna stick with them," that's

the sort of social proof that you know

374

:

that the level of due diligence these

large organizations are doing It is

375

:

not the same due diligence you can do,

'cause you don't have the team to do it.

376

:

So look at the social proof,

dip your toe in the water, then

377

:

take a step, then take a step.

378

:

It's the, you know, how

do you climb a mountain?

379

:

You take one step toward the mountain.

380

:

The mountain is AI.

381

:

You just need to start taking those steps

382

:

Ryan: Exactly.

383

:

And like you said, whether it's just

a chatbot, notes, note-taking, so-

384

:

and just see how that works, how you

like it, and then just go from there.

385

:

I feel as if that's the case

with a lot of technology.

386

:

When I was in the industry 20 years

ago, the technology, we, we just used

387

:

a little piece of it, and then all of

a sudden there, you know, the account

388

:

manager came in and showed us how.

389

:

It blew our

390

:

minds.

391

:

It was like, oh my gosh, what

have we been doing here this whole

392

:

MattGPT: Yeah

393

:

Ryan: And same case with AI here too.

394

:

I often think on the investment side,

we're getting all these new ETFs, crazy

395

:

ETFs, new products, and when the markets

are ripping higher every day, every month,

396

:

these products all look great, right?

397

:

Everything looks great right now, but how

do you think advisors and their clients

398

:

will react to AI when we finally have an

extended bear market and, you know what,

399

:

hits the fan and things start to blow up?

400

:

Do they trust AI even more, or are

they gonna pull back and be, "You know

401

:

what, I'm just gonna do it on my own"?

402

:

MattGPT: Yeah.

403

:

So the advisors who do that,

they're, they're donezo, dude.

404

:

Um, one, one of my favorite stories is

a, uh, uh, an advisor, uh, she had…

405

:

She was the third advisor, uh,

that this couple was interviewing.

406

:

And so, uh, you know, they came

in and, and she had our, our, our

407

:

notetaker in, in place, 'cause you

can either have it on your phone

408

:

or in your, your, your computer.

409

:

And they're having this great

conversation and, and, um, so the

410

:

conversation gets done and, and, and

she says, "Well, so, so, you know, very

411

:

soon, uh, you know, you're gonna get

a follow-up email summarizing this.

412

:

You're gonna get the tasks that I'm gonna

do and the tasks that you need to do.

413

:

And I'm also gonna give you a short

example of the kind of planning that we

414

:

do based off our conversation today."

415

:

They're like, "Oh, yay, great."

416

:

So, you know, shook hands.

417

:

You know, "It was great to

meet you," and they left.

418

:

By the time that couple got

home, all of that was done.

419

:

And so y- the couple gets, gets home

and, you know, uh, the, the s- the

420

:

spouse opens up the phone, uh, a-

and he looks at his wife and he goes,

421

:

"Hey, she emailed us all that stuff."

422

:

And she's like, "What?

423

:

What are you talking about?

424

:

We just left there."

425

:

So they called her, "Hey,

uh, how did this happen?

426

:

Like, you just sent us a beautiful

summary of everything that we just talked

427

:

about, what your firm is willing to do,

what we need to do to move forward with

428

:

your firm, and you gave us a, a rough

financial plan that actually showed

429

:

that you were listening to all of the

kind of hopes and dreams that we have.

430

:

How did you do that?"

431

:

And she said, "This is the technology

that we've implemented into our firm

432

:

because we know that it is wildly

important for us to get you answers

433

:

in a much more timely manner."

434

:

And, and the, the, the husband said,

"The other three people we interviewed,

435

:

we haven't even heard from them yet.

436

:

It is weeks ago."

437

:

That is what…

438

:

That's where the bear market stuff

happens because there's gonna be

439

:

so many people who are gonna be

looking for another advisor because,

440

:

you know, they're not generally

gonna leave because of performance.

441

:

You and I know this.

442

:

They generally leave because

of poor communication.

443

:

That's, that's been…

444

:

Kitces has come out with

that for 20 freaking years.

445

:

Everybody's been talking about that.

446

:

Even if you don't have the greatest

performance, if you are communicating

447

:

effectively, quickly, and, you know,

with really good information to your

448

:

clients, generally they're going to stay.

449

:

There's gonna be so much money

moving 'cause once the FAANG craps

450

:

itself, which it's gonna, uh, I'm

not a analyst, it's just gonna happen

451

:

'cause that's how everything works.

452

:

That's called a market.

453

:

There's ups and there's downs.

454

:

It can't just keep going straight up.

455

:

Um, but when this does happen,

those advisors who are implementing

456

:

technology, uncovering new opportunities

in their book of business by

457

:

asking simple questions, right?

458

:

Expect- uh, clients are expecting

faster and more complete communication.

459

:

AI helps with that, right?

460

:

This is what you need to implement

now because you all know that's

461

:

going to happen, and if you wanna be

successful when the market isn't great,

462

:

you gotta have a good tool in place

463

:

Ryan: Matt, I'm so glad you brought

that up because you're exactly right.

464

:

It's all about

communication, communication.

465

:

If this speeds up your communication

transparency to the client,

466

:

it'll make these tough times and

the times of chaos much easier.

467

:

So that's a perfect segue, Matt.

468

:

Now it makes it so much quicker.

469

:

You have this communication,

maybe a prospect meeting.

470

:

an hour or so, you already send

out that information, that proposal

471

:

generation, the notes, financial plan.

472

:

Now, what should the financial

advisor do with their free time?

473

:

Go hit the golf course, go,

you know, spend time with the

474

:

MattGPT: Yeah

475

:

Ryan: What should they do

with this free time now?

476

:

MattGPT: So th- this is, I'm, uh, I'm

gonna go back to the binary thinking

477

:

of my friends and financial advisors.

478

:

It's either work or not work.

479

:

Uh, a- and so I, I don't think

it is black and white here.

480

:

On average, what our, our research,

and actually not our research, our

481

:

strategic partners' research has

shown us is, um, we save about 10

482

:

hours of team's time a week, okay?

483

:

So y- you're not gonna go

spend … Some of you will want to

484

:

spend 10 hours on the golf course.

485

:

But I'm gonna challenge all of you

here, 'cause I think you need to put

486

:

it in a couple of different buckets.

487

:

So I want you to take … So that, by the

way, a week, a week of your team's time

488

:

every month, and you know how back using

real AI assistants like what we have here.

489

:

So why don't you take,

490

:

why don't you take three hours e-

every week you go play golf, right?

491

:

Or maybe every other week

you go play golf, right?

492

:

Then I want you to take a couple of

hours and, and why don't you work on

493

:

yourself, I don't know, psychologically?

494

:

Why don't you work on

yourself spiritually, right?

495

:

Why don't, why don't you do stuff to

make yourself a better human being?

496

:

Start figuring out ways to give

back to the community, fill your

497

:

soul, uh, help other people to,

to make them live a better life.

498

:

And then peel off five of those

hours, we're still working on the

499

:

40 hours, five of those hours, and

do in-person client events, which

500

:

by the way, are really successful.

501

:

Um, and then why don't you do, uh,

a couple of extra webinars, right?

502

:

That are just free to your general

public that you're gonna be able to

503

:

educate people on what you know about.

504

:

And then, I don't know, why

don't you go out on a date?

505

:

Because here's the deal, most advisors are

spending after 5:00 on their notes, dude.

506

:

Following up on their notes and their

tasks and all of those sorts of stuff.

507

:

Work on your personal brand.

508

:

Find a niche.

509

:

Start creating real content.

510

:

You have so much time, and it

all just can't be more work.

511

:

You're n- you don't need to see more

clients, 'cause we already know that

512

:

the, 150 is the amount of relationships

we can have w- that are deep, right?

513

:

So you're not gonna be able to double

your cl- I mean, some of you are gonna

514

:

try to double your client household,

which means you're gonna give most

515

:

of those people terrible service.

516

:

But work on yourself.

517

:

There's, there's a, somebody in the

industry who will re- remain nameless

518

:

who, uh, had a major epiphany, uh, m-

because of some tragedy in their life,

519

:

uh, and they've really swung the pendulum

from being very, very money-focused to

520

:

really focusing on their spirituality.

521

:

And, and part of that is, is because so

many of you think that the hole that you

522

:

feel in your soul, that kind of emptiness

that you feel can be filled with money.

523

:

Um, and so what I'm asking you, which

is really not a normal thing to ask all

524

:

of you hard-charging business owners,

is y- you gotta still feed your soul.

525

:

And when you're given the gift of

the one thing you can't make more of,

526

:

so there's time, talents, treasures,

rela- Relationships and control are the

527

:

five things that you can give up to be

successful, 'cause the universe doesn't

528

:

just give you things for no reason.

529

:

We're giving you back

530

:

10 hours a week.

531

:

Just take a little bit of time and work

on yourself as a human, because when you

532

:

do that, you're gonna be surprised that

your business is gonna get even better

533

:

Ryan: That's fantastic, Matt,

and such great insight there.

534

:

And I often think too, that 10

hours, have more team events.

535

:

Take your team out golfing, take them

to wherever, out to lunch or dinner.

536

:

Reward them also for all the

hard work that they're doing.

537

:

S- fantastic insight because I do

believe the more you do with your life,

538

:

whether, you know, help your soul, it,

it comes back to your work environment

539

:

too, and everyone, everyone wins.

540

:

Everyone wins, Matt.

541

:

So I think that's fantastic.

542

:

I'm gonna, I'm gonna have

to start doing that more.

543

:

MattGPT: Yeah

544

:

Ryan: Um, for sure.

545

:

what does a next gen or new advisor

who is, you know, uses AI, AI-enabled

546

:

advisor look like moving forward, do you

547

:

MattGPT: Yeah.

548

:

So there have been a lot of people

talking about this and writing about

549

:

this right now, and I'm very, very

happy where the conversation's going.

550

:

So this next AI-enabled

next-gen advisor, it's all about

551

:

judgment and relationship first.

552

:

AI does not have judgment.

553

:

AI cannot make a relationship.

554

:

AI can just handle the, the,

the paperwork very clearly and

555

:

succinctly with less errors.

556

:

That's also gonna increase your trust.

557

:

But it's also gonna give the opportunity

for you to spend more time to build the

558

:

relationship, and that is unbelievable.

559

:

The speed to servicing that I was

talking about is another thing that

560

:

is expected now that most of you

are just not doing a good job with.

561

:

The things that used to take a week.

562

:

I, I mean, I, I've known advisors who

I've coached, it was a week before

563

:

they executed all of the trades and

got all the paperwork submitted and,

564

:

and delegated all of the tasks and,

uh, you know, did all of the follow-up

565

:

and stuff that they needed to do.

566

:

That's gonna be able to be done

in minutes, if not an hour.

567

:

And so that's what people are gonna

be expecting, and that's what the

568

:

next gen is really looking for.

569

:

The other thing that I

think is wonderful is

570

:

You, with the click of a button, you're

gonna know what the last 10 meetings

571

:

were with a summary of what you talked

about, what their concerns were, what the

572

:

tone of the meeting was, what you said

you would do, what they said that they

573

:

would do, what you did do, what they did.

574

:

And you're gonna be, have this wonderful

one-page document that is gonna give

575

:

you a summary of birthdays, kids,

grandkids, vacations that they took

576

:

so that you can be so prepared going

into a client meeting that the client

577

:

Y- you're not gonna have to do … And

I know a lot of your listeners

578

:

have done this, where they're, you

know, walking into the meeting and

579

:

they're, they're like, "Oh my God.

580

:

I have no idea what the heck I talk

to about these people with," right?

581

:

And so that's what is this next thing.

582

:

One of my favorite stories, uh, it's

actually from, uh, one of our salespeople.

583

:

His name's Rex, and I love this guy.

584

:

He's, he's beyond a salesperson.

585

:

This guy's s- very sage-like.

586

:

And he was telling us a story, uh,

about a, a client who … So she

587

:

was, she's a pr- younger advisor

taking over from an older advisor,

588

:

and he's almost on his way out.

589

:

So it was like this was, like,

the last meeting, uh, that, that

590

:

she had, was the biggest client,

the humongous client, A++ client.

591

:

She was a little bit nervous

about it, and so, uh, the primary

592

:

advisor didn't go to the meeting.

593

:

Uh, this was her first

meeting with him on her own.

594

:

And the, the client came in and,

and, um, he was really distraught.

595

:

And she was like, "Hey, hey, John.

596

:

What, what's going on?"

597

:

And he said, um, "My daughter's

favorite chicken," he named his

598

:

daughter, named the chicken, "uh, is

in the hospital and, and I just got

599

:

off the phone with my, my daughter.

600

:

She's freaking out."

601

:

And, and the advisor was like, "What?

602

:

Your daughter's favorite

chicken's in the hospital?"

603

:

I mean, she's like, "Oh," you know, of

course she was like, "Oh, I'm so sorry

604

:

that happened," and so on and forth.

605

:

And he's like, "Yeah, yeah, yeah.

606

:

You know, I just want you to know

I'm just a little bit distracted."

607

:

So then they go in and they

have their meeting, and the

608

:

meeting goes incredibly well.

609

:

So in our post-meeting follow-up, uh, in,

in the summary, it said as a suggested

610

:

action, "Send daughter," name, "and

the chicken," name, "a care package

611

:

for the chicken in the hospital."

612

:

And she was like, "Well, that's peculiar.

613

:

Whatever.

614

:

What's the worst thing that can happen?"

615

:

So she did.

616

:

She actually sent a care package to

the daughter with the name of the

617

:

chicken Minutes after it landed, the,

the biggest client she had called her

618

:

up, "I cannot believe you did that.

619

:

I can't believe that you were so

thoughtful to send my daughter

620

:

and her, her chicken, who's

recovering, um, a care package."

621

:

And here's the best part.

622

:

So that's just warm and

fuzzy, touchy-feely.

623

:

She did maintain the business from

the guy who was the biggest client.

624

:

She also got her daughter.

625

:

That is what is the expectation that's

gonna be happening very, very, very

626

:

soon, because if you're not having

that level of detail and that level of

627

:

preparedness that you can now do with

the click of a button, dude, you're not

628

:

gonna be winning all of that business,

and that's what the next gen, not just the

629

:

next gen advisors look like, but that's

what the next generation of investors

630

:

and people who want relationships

with advisors are gonna expect

631

:

Ryan: I love that example, Matt.

632

:

That's fantastic, and it goes back to

something I've said a lot or heard a lot.

633

:

AI is great support however you wanna use

it, but it's gonna make the relationship

634

:

building and being somebody who likes

relationships even more important.

635

:

Because like you said, AI,

it doesn't feel empathy.

636

:

It d- can't build a re- It can help

you, though, build better relationships,

637

:

just exactly what you said, and it's

ma- and it will make the responsibility

638

:

of advisors in building relationships

even more important, which is a

639

:

MattGPT: Yeah

640

:

Ryan: How do you get advisors who

built successful practices, like you

641

:

said, might be million-dollar practices

years ago, they're set in their ways.

642

:

They're like, "I built this

643

:

thing the way I did.

644

:

Why do I need to change and adopt AI?"

645

:

What do you tell those advisors?

646

:

MattGPT: Well, I use the, I use

the asteroid analogy a lot, dude.

647

:

And, and sometimes that, uh,

doesn't go over incredibly well.

648

:

Um, it, it has to be

incremental change, right?

649

:

So, w- and, and this is the reason why

the notetaker is still such a great hook.

650

:

Because if I say to my…

651

:

You know, so, uh, I'll

use a couple of examples.

652

:

So one of the advisors that I coach

is a humongous Ameriprise advisor.

653

:

I mean, she always had her junior

advisor at every single solitary meeting.

654

:

So labor-wise, from a profitability

standpoint, those were less

655

:

profitable clients, and her associate

wealth advisor, who was really,

656

:

really freaking smart, would miss

things, or he'd get sick, right?

657

:

And so if he was sick, he

couldn't be in the meeting.

658

:

AI is never sick, right?

659

:

And, and AI can be templated over time.

660

:

It'll start learning exactly what

you want those notes to look like.

661

:

It doesn't get it perfect the first time.

662

:

The first time it's gonna be 20 pages

long, and then you need to go ahead

663

:

and adjust and adjust and adjust

until it gets to what you want it.

664

:

You save that as a template.

665

:

Bam, Bob's your uncle, it works.

666

:

But so that's what, that's

always the entry point.

667

:

The entry point is not integrations

and helping you do financial plans.

668

:

It's not gonna, you know, integrate

with MCP and help you create a custom

669

:

slide deck for each client, you know,

before they come in that's built off

670

:

PowerPoint with your brand standards.

671

:

It's finding those very,

very small paperwork issues.

672

:

Those time that you have

to spend with your notes.

673

:

The time that you, knowing that you don't

remember and you missed an opportunity.

674

:

When all of those things,

an advisor can really see

675

:

themselves making those changes.

676

:

But g- let's get back to the Ezra

group, what I talked about before.

677

:

Technology used to take

forever to implement.

678

:

You know, I, I mean, there's

people who are still messing

679

:

with their Salesforce, right?

680

:

You know, I mean, that's a great example.

681

:

Uh, or, or, you know, their

CRM still doesn't do everything

682

:

that they want it to do.

683

:

W- we built a system that it's

pl- it's literally plug and play.

684

:

Do you need to make

adjustments and tailor?

685

:

Yes, but the system works out of the box.

686

:

So there's, there's, there's what … So

there are so many people who are

687

:

able to go ahead and implement our

system without any sort of training.

688

:

But this changes the power dynamic,

and this is where a lot of advisors

689

:

struggle because they'll say, these,

these older advisors generally will be

690

:

like, "Well, I don't want to use it."

691

:

Okay, listen, dude, I

don't care if you use it.

692

:

Your team wants you to use it, right?

693

:

I mean, they're tired

of chasing you around.

694

:

O- one of my, one of my favorite

experiences here, I just started

695

:

here, and I went to Estate

Con, which is wealth.com's,

696

:

uh, conference, and, um, and I

had … This woman came up to me.

697

:

I had, like, like, I didn't e-

I had, didn't even have, like,

698

:

any Zocks clothing at this point.

699

:

I was, like, two weeks into the business.

700

:

They're like, "Go.

701

:

You need to meet people."

702

:

So I went to the conference,

and this woman came up to me

703

:

and she said, "Hey, Zocks guy."

704

:

And I was like, "That's not me."

705

:

I didn't know what she was talking to.

706

:

She's like, "Hey, Zocks changed my life."

707

:

And I, and honestly, man, I, I thought

I was getting hazed by the two senior

708

:

salesper- people that were there.

709

:

And, uh, and, and she's like, she's

like, "No, no, I'm, I'm serious."

710

:

And I was like, "Well, you

know, tell me about your firm."

711

:

She's like, "It's not my firm."

712

:

And I'm like, "What's going on?"

713

:

And she's like, "I'm the chief

of operations for … " You

714

:

know, we have seven advisors.

715

:

"I spent 50% of my time chasing them

down for all of the tasks, all of

716

:

the notes, to be able to tr- you know

717

:

And then I'm spending all of that

time, you know, on all of the meeting

718

:

prep and then, you know, and then

they would never do the follow-up."

719

:

She's like, "You guys

saved me 50% of my time."

720

:

So those grumpy old advisors, right,

who don't want to change, I don't care.

721

:

Your team does.

722

:

That's gonna be where it … You're

gonna get the biggest bang for your

723

:

buck because you go into a meeting,

your team member clicks a button,

724

:

Zocks is there, the meeting's

over, you click the button, right?

725

:

Then your team can actually get

all of the notes, all of the stuff,

726

:

get ready for the meetings, do

all … That, that's where we win

727

:

Ryan: Love it.

728

:

Love it.

729

:

So with that then, we've talked

a lot about just the time

730

:

MattGPT: Mm-hmm

731

:

Ryan: AI can free up.

732

:

Maybe it's using AI to b- find the best

ETF or mutual fund for your clients, or

733

:

maybe it's proposal generation or content

creation, using AI for content creation.

734

:

What do you think is the biggest

opportunity for advisors who adopt AI?

735

:

MattGPT: Uh, one, I think it's

going to be real organic growth.

736

:

So there's so many people who are

constantly talking about organic

737

:

growth, but here's the deal.

738

:

It costs so much more to get a

new client than it does to sell

739

:

an existing product to an existing

client, and I think we've forgotten

740

:

that very simple business component.

741

:

When you can go into your book of

business and ask that question about,

742

:

you know, grandkids, you know, "How

many of my clients' kids got married?"

743

:

Um, you know, "How many of my kids or my

clients were bragging about their daughter

744

:

who just got a promotion at Apple?"

745

:

Right?

746

:

Being able to uncover those opportunities

in your existing book of business

747

:

where you can make a quick phone call

to Julie and say, "Hey, Julie, gosh,

748

:

in our last meeting, you were talking

about how your daughter just got

749

:

promoted to a huge position at Apple.

750

:

Um, do you know what sort of

financial education that she's gotten?

751

:

Uh, would you mind if I reached

out to her and gave her a call?

752

:

'Cause I've been your

family's advisor for 20 years.

753

:

Would you be okay with

making that happen?"

754

:

And of course, she's gonna say yes.

755

:

That's what…

756

:

That's the next level.

757

:

That is the opportunity that is already

sitting right in front of you that

758

:

you guys all can't see because you're

too busy doing the other things.

759

:

The other thing is, is confidence, dude.

760

:

And again, this is warm and fuzzy,

touchy-feely stuff, but when you, 5,

761

:

10 minutes before your client meeting,

you can sit down and have that meeting

762

:

prep document done where you know all of

the conversations, all of the pertinent

763

:

information, suggested questions, oh, you

know, talking about some of the things

764

:

that they wanted to talk about last time.

765

:

Um, all of those things, your

confidence level goes way up, which

766

:

means your stress level goes down.

767

:

So you're walking into a client meeting

with a different level of confidence

768

:

instead of being freaked out 'cause

you don't remember all of the stuff.

769

:

It's freaking right there, and, and

that's one of those unquantifiable things.

770

:

You know, we can help

you grow your business.

771

:

We can reduce your admin time.

772

:

We can reduce your NIGOs and, you

know, bad, in order paperwork,

773

:

all of that sort of stuff.

774

:

But when I can make you feel better,

stronger, smarter, faster, and that

775

:

you're gonna be able to provide even

better client service just because

776

:

of a piece of freaking software?

777

:

And here's the other thing.

778

:

We're what?

779

:

100,000 people short

in financial services?

780

:

Right?

781

:

I mean, so many people are

retiring, and we have a really

782

:

old population in this industry.

783

:

AI efficiencies is gonna be able

to, one, help you attract way better

784

:

talent, and two, you're gonna be able

to get them up to speed way faster.

785

:

Which, by the way, is probably a whole

nother podcast, uh, that, that we

786

:

could do on just the talent aspect,

uh, in associate wealth advisors

787

:

and moving people through the ranks.

788

:

Uh, but that is another

really important thing

789

:

Ryan: Matt, let's schedule it now.

790

:

Let's schedule that on next

pod- the next podcast now.

791

:

MattGPT: fantastic

792

:

Ryan: I love all the touchy-feely

stuff that you're talking about because

793

:

when I started in AG myself in the

early:

794

:

It was just stockbrokers selling,

buying stocks, you name it.

795

:

Now, it is so all about relationships,

so you need to be good at the

796

:

touchy-feely stuff, whether really

you're on the investment side or not.

797

:

Those days are long gone.

798

:

Now it's relationship.

799

:

Everything that you've just talked

about during this podcast is so true.

800

:

lastly, last

801

:

question here for you, Matt.

802

:

What's the thing about AI and

financial advice that you don't

803

:

think people are talking about?

804

:

MattGPT: Well, and I'm gonna be beating

this drum as long as I'm here, which

805

:

is what are you gonna do with the time?

806

:

Everybody's so focused on the time

savings, but nobody's giving any advisor

807

:

a solution on what to do with that time.

808

:

A- and it, I, when you are right with

yourself, you are gonna be a better

809

:

business person, you're gonna be

better in your relationships, you're

810

:

gonna be better with your community.

811

:

A- and we…

812

:

That's what makes a great

business person, in my opinion.

813

:

If you're really truly gonna be great

in business, if you're truly going to

814

:

want to help your clients, which all of

you do, when you have that extra layer

815

:

of security, understanding of yourself,

mental wellbeing, physical wellbeing,

816

:

your health is in, you know, in check.

817

:

When you're not walking into a

meeting with blood vessels popping in

818

:

your nose and your forehead because

you're so stressed out, and you're

819

:

70 pounds overweight because you work

all the time, your clients see that.

820

:

They worry that you're not

taking care of yourself.

821

:

But if you walk in, you're calm,

you're relaxed, you know, you just

822

:

had a wonderfully spiritual fulfilling

experience, or maybe you went out and,

823

:

I don't know, volunteered at a local

food bank, and you just got that good

824

:

feeling of just being a better human,

your clients are gonna feel that.

825

:

I also think that, uh, firms that

are really winning with AI, and

826

:

this is really not talked about

enough, are using that extra time

827

:

and that extra, um, lift, which is…

828

:

I, I, see, I like it to be

called augmented intelligence.

829

:

I hate that it's called

artificial intelligence.

830

:

Because it's like Tony

Stark's super suit, right?

831

:

Uh, so he puts on the Iron Man

outfit, he's different, right?

832

:

He's stronger, smarter, faster, better.

833

:

Well, I mean, he can freaking fly

and all that cool stuff, right?

834

:

This is what advisors need to do,

and they can then put that super

835

:

suit on their, their other team.

836

:

They can put that on the new advisor

coming in, and we're gonna start seeing

837

:

how much faster new advisors can get into

client relationships instead of doing

838

:

all of the menial stuff that advisors

want them to do to learn the industry.

839

:

That, that time is gonna

be shrunk exponentially

840

:

Ryan: Yeah.

841

:

I love that au- augmented

842

:

MattGPT: Yeah.

843

:

And I think the last one, dude,

is AI can save your butt, right?

844

:

Uh, so I'm, I'm at a, I'm at a large

insurance conference, uh, a little

845

:

while ago, and, uh, this large general

agent, I, I didn't know who he was, I

846

:

didn't really realize he was that big.

847

:

But I, I do these, like, Johnny

on the Street interviews.

848

:

And, um, and he came up to

me and he's like, "Hey, I…

849

:

Can I do an interview with you?"

850

:

I was like, "Let's go."

851

:

So, you know, we walked

over to this place.

852

:

And, and so I said, you know,

"Hey, you know, uh, I'm Matt GBT,

853

:

I'm here at the LIMRA conference.

854

:

You know, hey, I'm here with John.

855

:

Uh, you know, John, you pulled me aside

and said that you wanted to talk about AI.

856

:

What do you wanna talk about?"

857

:

And he grabs the microphone,

which, you know, again, whatever,

858

:

I should have held onto it.

859

:

But he grabbed the microphone,

he goes, "Here's the thing."

860

:

He's pointing at the camera.

861

:

"AI saved my butt."

862

:

And I'm like, "Okay, elaborate."

863

:

C- of course you couldn't hear me

'cause he was holding the microphone.

864

:

And he goes, "I had a client complaint-

865

:

We had the transcription.

866

:

I submitted the transcription.

867

:

They're like, "Nope.

868

:

Th- your complaint is not valid."

869

:

And the advisor was like, "Do you

have any idea what that did for me?"

870

:

So when it comes to compliance,

when it comes to privacy first, when

871

:

it comes to those sorts of things,

I don't think that we're talking

872

:

about those auxiliary benefits.

873

:

Nigos, how many times do you submit

paperwork to your home office and it

874

:

gets kicked back because one number's

wrong 'cause somebody miskeyed something?

875

:

That doesn't happen anymore

because we go field to field.

876

:

And so, yeah, there's a

whole bunch of stuff, dude.

877

:

But those, those are, those are my things.

878

:

And again, I'm always gonna lean on

the number one thing that's the most

879

:

important to me is I've been a life

coach in financial services for 20 years.

880

:

I want all of you to live a better

life and not just have a better

881

:

practice, and you can do that when

you have great tech in your background

882

:

Ryan: That's fantastic, Matt.

883

:

I think that's a perfect way of wrapping a

bow up on this show and this conversation.

884

:

That is awesome.

885

:

I love that last example of

covering your butt with compliance.

886

:

I've had a lot of conversations,

haven't really had that one

887

:

yet, so that's fantastic.

888

:

Thank you so much for sharing.

889

:

Matt, thank you so much

for coming on the show.

890

:

Like I said, it was such

an honor to have you on.

891

:

Really fun conversation.

892

:

I learned a lot, a of great insight.

893

:

Thank you.

894

:

Where can our audience get

more information about Zox?

895

:

MattGPT: just go to zocks.io,

896

:

uh, and that's gonna be the best place.

897

:

You can book a demo there,

you can do a free trial there.

898

:

Uh, we've got all sorts of great

information that you can have there.

899

:

Uh, if you're an existing

Zocks user, please make sure

900

:

you go to the Zocks Academy.

901

:

Great information on how you can use

our products and services even more.

902

:

And very shamelessly, if you're

not following me on LinkedIn,

903

:

I'm putting out content.

904

:

Uh, I talk about most of this

stuff almost every week, uh, and I

905

:

would love to be able to continue.

906

:

Uh, I'm not selling anything.

907

:

Uh, I'm just here to try to educate

the financial services public on

908

:

really best practices with AI, uh,

and, and how it can help you have

909

:

a better practice and a better life

910

:

Ryan: Yeah, that's fantastic.

911

:

Matt, I, a lot of people may not

agree with this or believe it,

912

:

but I do do some research and prep

work before coming on the podcast.

913

:

Zox, I've known Zox for some time.

914

:

You guys do a lot of great research

content, information on the website.

915

:

I followed you for a long time also.

916

:

I cannot re- recommend following you

and, uh, on and connecting on LinkedIn.

917

:

A great site, great content.

918

:

You guys are doing great things.

919

:

I love

920

:

MattGPT: Thanks, man

921

:

Ryan: So thank you so much for listening

to this episode of Adjusted for Risk.

922

:

You can watch all of our other

episodes on the Adjusted for

923

:

Risk YouTube channel and Spotify.

924

:

Also, please be sure to like and

subscribe to those channels, and

925

:

also give us a follow on LinkedIn.

926

:

you very much and have a

great rest of your week

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