July 28, 2025 • 38 mins
This afternoon on the Jon Sanchez at 3pm, we’ll recap the volatile day and once again, look ahead to the incredibly busy week ahead. Then, we’ll be joined by Dr. Dennis Sanchez aka the AI Doctor to discuss a very important topic….Are you on the positive side of AI? Meaning, are you being AI reactive in your personal and business life or are you being proactive? Hopefully, it is the latter!
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Episode Transcript
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Speaker 1 (00:05):
Good Monday, Afternancia. Welcome to the John Sanchez Show on
News Talk seven to eighty k wait. That's a pleasure
to be with you, and a pleasure first of all
to be back with my partner, Jason Gunt. Welcome back, man.
I'm glad you remembered where the office is.
Speaker 2 (00:18):
You got the keystone?
Speaker 1 (00:19):
Yeah, exactly, that's always that's always the telltale side, right Yeah, yeah,
I don't don't ask me. I yeah, we paid people
to do that. Oh. So good to be back with you,
and so good to be back with my brother, doctor
Dennis Sanchez for the the AI education that only he
(00:41):
could deliver. The fans went nuts with you last week. Bro,
the fans went and nuts the comments about wanting to
learn with AI and your knowledge of it. So, as
we promised the audience last Monday, you are going to
be part of the Monday segment of the John Sanchez
Show with Jason and I. So, Dennis Sanchez, thank you
for coming back, my man.
Speaker 3 (01:01):
Well, thanks for inviting me and pleasure to be here.
And I knew your audience was sophisticated.
Speaker 1 (01:07):
Oh they are, they they are. They are the smartest
audience that I've ever seen. I promise you that I
told you that from the beginning. Jason. Did you know
that Dennis and I did the radio together when I
did not know? Yeah, when we were working together in
the early two thousands, and when I opened the renal
office in two thousand and one. Yeah, he was with me.
He was with me on the radio on Saturdays and stuff,
(01:27):
and did his fair share of stock cup days, right
bro Yep, yep.
Speaker 3 (01:32):
The first time was Oh, guess what tomorrow. I know
it's midnight, but you're going to have to do the
up day tomorrow at three point thirty in the morning.
Speaker 2 (01:42):
That sounds weird.
Speaker 1 (01:43):
I was gonna say, do tell that that, Jason? Oh God,
that's so true. I guess I did it to both
of you guys. I remember.
Speaker 3 (01:56):
Hearing my voice, but not really. It felt like it
was out side of my body.
Speaker 1 (02:04):
Oh that's so good. That's so good. Poor Jason. I
don't think I ever gave you. I think with the
first or second day that you joined the firm, Jason,
I think I threw you on the radio at that point.
Speaker 4 (02:14):
Yeah, And you made me a guideline for the updates
at one point.
Speaker 1 (02:17):
And I still know is that what you're Is that
what you're showing me? Yeah, that's the guy.
Speaker 4 (02:21):
No kidding, I still print this, I still keep it.
Speaker 1 (02:26):
At least you've got a guideline exactly. I've been proved
my managerial skills as time is gone. At least you
had market knowledge. Poor Dennis did. He didn't have market
knowledge when he joined me. He just he just had.
He had just passed the series seven and sixty three
and sixty five and light and insurance and all that stuff.
And it's like, okay, your license, come on in. You
(02:50):
know what you know, You're just you're you're certified. Now.
Speaker 5 (02:54):
Oh that's right, that's right. Throw them in, Just throw
them in. All right, boys? What's so great to with
all of you? And hope you all of you had
a great weekend. Let me tell you what we have
lined up for you. We're Jason, I of course going
to go through the market recap for you and tell
you everything that happened in this market today.
Speaker 1 (03:09):
Pretty interesting session. But most importantly, as I recapped on Friday,
I want to do it one more time, Jason, and
that is recap what we have in store this week,
because this is a historical week as far as the
earnings numbers, the FED meeting, the non foreign payroll numbers,
the inflationary data, the August first tariff deadline. I mean,
what else could there be? Right? And man, it's going
(03:30):
to be a busy week. So we will recap that
once again kind of give you our outlook, and then
we're going to get to Dennis, Doctor Dennis Sanchez. We're
going to be talking about a really interesting subject today
on AI, and that is this, are you on the
positive side of AI? Now? Last week Dennis and I
spoke a lot about, you know, is AI going to
(03:52):
take your job? Right? And what we have to look at, folks,
is we talk about AI and we begin to delve
deeper and deeper in how it impacts again all of
our business lives and our personal lives. We have to
look at it. And Dennis, I'm going to have you
real quickly explain this. There's really, you know, two sides
to AI. There's the side that do you want to
embrace it? And then there's the side where you go,
(04:14):
I don't want this technology in my life, you know,
for whatever reason to maybe maybe you lost your job,
maybe you know someone, as we hear from a lot
of our listeners, their families lost their job due to AI.
So this is really something where it's going to be
focused in on the mental aspect, which is are you
on the positive side of AI? And that's what we're
going to explore it. But a touch on that real quickly, Well,
(04:35):
you hit.
Speaker 3 (04:35):
It on the nose. It actually begins with something we
don't even we're not even conscious of, and that's the
negative reaction. It's a it's kind of a survival mechanism.
So think about it. When we when we're afraid of something,
they're not even afraid. We're just uncertain. We tend to
be very very conservative, meaning we either stop moving, or
(04:56):
we retreat, or we ignore it. We do all those things.
Those sound very you know, those are characteristics the way
that people are reacting to AI and all aspects, whether
it's using it or even as you know, we've talked
it's even about investing in it. It's just the mystique
of AI. It touches people both positively and negatively. Frankly,
(05:18):
I don't think it'll ever change because it's changing too
quickly for people to get comfortable with it. It's more like
how can we live with it? How can we make
it positive and be on the positive side instead of
being in fear being worried. There's so much potential for
us there on the positive side. That's what we want
to talk about.
Speaker 1 (05:37):
The realism, Jason, did you happen to see I was
telling Dennis about this earlier. Did you happen to see
that interview this morning? It was fairly early with A
and I couldn't catch what firm he was with, but
he was a portfolio manager. And this is the first
time I've ever seen this. The CNBC host was talking
about the tech earning season, right, we have Microsoft and
Meta and Apple and Amazon this week, and he came
(05:59):
out and he said, well, our AI models are telling
this that that that det and they got on this
whole a how this firm is using AI to again
predict where earning seasons are going to come in for
the stocks that they follow in their universe. And he said,
we use three different AI what's the right term, guys,
uh engines? You know, the like us as chatgy or
(06:22):
the Chachu language or language models. Yeah, language models? Yeah, Okay,
So he said, yeah, we use three of them and
we kind of, you know, basically, I'll use the term
average them together as far as what the model said.
But Jason, that to me. I don't know about you,
but that was the first time I ever saw somebody,
uh a portfolio manager ever say that on national TV
that they are utilizing AI and their predictive behavior where
(06:44):
earnings are going to be, et cetera.
Speaker 4 (06:46):
Yeah, so, uh, you know, before the show started, I
was talking to Dennis. You know, I worked at a
quant We've been doing that for twenty years, right, Right,
it's just a matter of sort of as he mentioned
so well, the the parabolic move that the usage and
the adoption rate and the change of these large language models,
(07:08):
the anthropics, you know, chat, GBT, perplexity, you name it,
the accessibility of these things. And in fact, Amazon, for example,
they're trying to be like the I don't know if
there's sort of an odd.
Speaker 2 (07:21):
Analogy, but they're trying.
Speaker 4 (07:22):
To be the the the Walmart of models, where you
go into a WUS and you can actually pull in perplexities,
l M or you know, groc or all these things
and have them sort of interact in one ecosystem and then.
Speaker 2 (07:39):
You can then have them predict things.
Speaker 4 (07:43):
But like anything, it's a function of training, right, I
will push back on the guy that was on TV.
He's a portfolio manager at a tech firm. They're gonna
sound the s e x y using words like that
of we do this in our models. It's just a
matter of how dependent you are on their results. Right,
(08:07):
that's the toughest part where you know that that training
is the most important thing. That'll be the secret sauce
you can't type into, you know, perplexity and say, you
know of these twenty companies, who's gonna beat earnings? Right
like because then unknowns else they have inside information and
then that would cool, but it is, it's it's so
(08:29):
crazy and you know again Dennis Noil, it's happening so
fast you don't even have time to be afraid of it.
So it's it's exciting. You know, I nerd out with
this stuff.
Speaker 1 (08:41):
So yeah, I know a great, great example.
Speaker 3 (08:44):
And just the two things you guys, the way you
were talking about the uh the broadcast this morning or
whatever you saw, those were those are people that have
embraced a I as a partner, as a partner in
the studio with as a partner and sharing information and
they're not afraid of it. They're they're getting it quickly
that by you know, they it can make them look smarter,
(09:07):
sound smarter, and it actually is like working with another
person in the studio, another partner, and it's just how
how do you How comfortable are people doing that? They
found a way and they're probably, you know, really happy
that they discovered a resource like that. How is everybody
else going to feel?
Speaker 1 (09:24):
Yeah? Right, well, anyone's got a big ketchup if you're right, Jason.
By your point, the quantitative models, of the quant models,
like you said, they've been around for twenty years. Can
you imagine somebody not utilizing that technology when the dentistry's point,
when the competitors are I mean you you are at
such an absolute disadvantage, and you know it's it's amazing.
I want to through a one quick thing and that
(09:45):
we had to go to break. So last night I
was reading my iPad before I went to bed and
kind of thumbing through some news and stuff, and guys,
this may come not as a surprise to you, but
it was to me. So Vogue, in their last issue,
the fashion magazine hired these three are excuse me five,
a five woman company that is now specializing and creating
(10:07):
AI models and they put the picture up of as
you would imagine, the most picture perfect woman, two pictures
of her, this beautiful blonde woman, and I swear on
my life had I not read that it was an
AI generated model, I would have said, oh, that's just
a beautiful model. It was that good. And so now
the whole modeling agency, to your point, Dennis is coming
(10:29):
out and going, whoa wait a minute, here, we just
got you know, the playing field level now, and we're
being treated as human beings and not sex objects and
everything else. And oh you know, now you're coming out
with AIS what's that going to do for our industry?
Models are going to be out of work and photographers
are going to be out of work. And these five
women are like, because they used to be you know,
(10:49):
in the in the actual photography side, they're like, you know, sorry,
but this is where technology is going. It was scary,
how realistic these women looked absolutely.
Speaker 2 (10:57):
Scary and stands into movies and ultimate that's.
Speaker 3 (11:02):
Right, yeah, the same thing. Writers, actors, Yeah, they've even musicians.
Speaker 1 (11:10):
Oh that's a good one. Yeah, that's a good one.
All right, perfect, All right, boys, sit back and relax
for a second. We're gonna take this first break. When
we come back, we're gonna continue. We're gonna get into
our stock market recap and then get into our topic
with doctor Sanchez. Are you on the positive side of AI?
It's your choice and we're gonna help you help make
that decision later in the program. Serve over to Christensen.
She's in the right now traffic center. Hello Christen. Likewise,
(11:43):
welcome back to the John Sanchez Show on Newstalk seven
to eighty K, which joined of course by Jason Gnham,
Sanchez Gon Capital Management, and my brother, doctor Dennis Sanchez,
the AI doctor. All right, before we get to our
topic with Dennis, we got to do a stock market
recap and then our topic once again is gonna be
are you on the positive side of AI? Let's hit
this market. We weren't too positive today, Jay on the
on the market side of things, at least on the
(12:03):
dow side, struggled out of the gate today sixty four
point losses. How we finished up to a close of
forty four thousand and eight thirty seven, but as another
record setting day for the NASDAK and the SMB. NASDAK
shot up seventy points point three to three percent to
a close of twenty one thousand and one seventy eight,
SMP gained one point to close at six thousand, three
hundred and eighty nine. On the commodity side, we lost
(12:24):
abuck fifty eight on oil the sixty six to seventy
five of a barrel week day for goal down twenty
six dollars and ten cents to three thousand, three thousand,
three hundred and nine dollars. And uh, let's see about
sixty cents three basis point increase on the tenure. You'll
close four to forty two. There, take it away, mister gunt.
Speaker 4 (12:42):
Yeah, do you see that we are have about a
five hundred billion dollar hole to fill with our debt? Yeah,
issuees over the next you know, yeah, term, that's wonderful.
Speaker 1 (12:52):
Jurist will pay for that. One months of tariffs.
Speaker 4 (13:00):
Today was ironically with you know, Japan announced, EU announced.
You would have thought you would have had a better
market today, but really highlights the fact that we're at
the later stages of that April bounds.
Speaker 1 (13:11):
Right.
Speaker 4 (13:11):
The market has gotten up to up and through the highs,
and these are always difficult when there's no real line
to look at above you, right, So now it becomes
more very much a psychological game. Those round numbers sixty
five hundred on the S and P, those are the things,
forty five thousand on the Dow, right, those are going
to be the numbers that the market's going to fixate
(13:32):
on more.
Speaker 2 (13:33):
Now. I think the debt information is not a great one.
Speaker 4 (13:37):
I don't like seeing that we need to continue to
press on the gas pedal to fill up the general account,
but so it goes. Hopefully the tariffs can help alleviate
some of it, but energy tech held up. Those were
okay today, Laggers, real estate, materials, utilities, So you know,
nothing alarmed me. This is more of a I would
say a little bit of profit taking, even the move
(14:00):
into what you touched on earlier about of lots of
punches to be taken both up and down by the
likes of the largest S and P five hundred constituents
we have, and a ton of economic news. So we'll
call today a draw with the facts. And you finished flat.
You know, the Dow had travelers and things like that.
(14:23):
Will we will be back.
Speaker 1 (14:24):
Tomorrow absolutely well, And once again is the highlights of
jacent alluded to it I mentioned last segment. We've got
Meta and Microsoft on Wednesday, Amazon and Apple on Thursday.
The FED interest rate decision on Wednesday, followed by the
press conference at eleven thirty. The interest right decision will
come at eleven o'clock. No one on the streets anticipating
(14:45):
the Fed to do anything. As a reminder, there will
be no FED meeting in August, So this is going
to be an interesting one, Jason. Whether Jerome Palell at
the press conference indicates anything in regards to what may
happen at the September meeting, that seems to be with
the focuses at this point, But don't expect anything out
of this meeting as far as our rate. Just again
is what's he saying, what's the chairman saying? And then
(15:07):
the fast favorite measure of inflation, the personal consumption and
expenditure PC as we call it, will come out on
Friday also, So yeah, a lot of things that can
move the market. But you know, back to your point, Jason,
you know this was interesting yesterday. Is Trump warned on Friday,
and I say warned in a good sense. You know,
you reached the deal with the European Union, dropped the
tariff from well depend upon where you were looking twenty
(15:28):
percent down to fifteen percent, got them to kick in
about seven hundred and seventy billion dollars into the US economy,
a lot of money coming into energy, some defense programs
or products, et cetera. But yeah, the market, you know,
back to what you say, solo, we can we many
times and that is, yeah, you buy the news, you
sell the rumor type of thing, right, or buy the
(15:49):
rum or sell the news. Excuse me? Market had this
market had a reverse market, had this party well priced in?
So yeah, not much of a reaction to that one.
Speaker 4 (15:57):
And you look at the Europe etf Europe, Asia Far
East today is down one and a half percent, right,
so hardly the excitement one would think on the heels
of Japan, and you know you settling with the US.
Speaker 2 (16:11):
So absolutely remember, yeah, like you, things get priced in,
Yes they do.
Speaker 4 (16:18):
The market is a discounting mechanism. It's six to nine
months ahead of.
Speaker 1 (16:22):
Where things are.
Speaker 2 (16:23):
That's why we've said so many times in the past.
Speaker 4 (16:25):
The retail investors have a tough time because they react
to headlines and the market is already we priced that.
Speaker 1 (16:32):
Into two months ago, in the future. But the question is,
well AI bumped that out even further right looking that
from is gonna be a forward looking twelve month market
who knows well? Speaking of AI, let's we got a
couple of minutes for our break. Let's get to our topic.
Are you on the positive side of AI? Thennis, Before
we get started, For those that may have missed your
(16:53):
introduction last week, besides being my brother, give the audience
a little bit of background about you and why we
have you on now every Monday to talk AI, as
it's encompassing so many aspects of our personal and our
business lives. A little background in.
Speaker 3 (17:05):
Sure, pretty much been in technology all my life, and
then about eleven years ago I really started aligning with
what was going on with AI, and not necessarily the technology.
I was working for Microsoft the time, it was really
thinking about how it impacts people, and there was such
(17:27):
so little information and there was so little thoughts about
how it was impacting. It was all about, you know,
getting this technology in eliminating jobs and then all of
course all of that financially going to the bottom line
and organizations being more profitable. So I took it on
myself at that point to research and try to figure
(17:48):
it out and really kind of came to a conclusion
very quickly that I didn't know anything, and I needed
to go back to school and get the theory, get
the foundation, really understand from some of the traditional ways
we looked at organizational psychology, what is going on. So
I studied, got my master's in iopsychology. My thesis was
(18:10):
on the adoption of Azure Cloud. So I was really
getting into the technology, and then I couldn't stop. Went
back finished four years later, I've got my doctorate and
then I did my academic work there on the impact
that generativity has on emotions and the correlation between positive
(18:31):
and negative emotions and the way people use the technology going.
I bring that point up because it is so much
about positive and negative. It starts there with the way
we're not even thinking about our reaction. It's on a
primitive level. Most of it is subconscious or you know,
we're not even thinking about it, but it's just our
(18:52):
natural reaction. And then kind of take that concept and
now expand it to the negative and positive side of AI.
It starts in our own reaction, and now it's amplified
two bigger things. You're talking about good and bad news
in the market. Next week, you mentioned to two AI companies,
(19:13):
very problem the position of that almost as if depending
on how they went, which I think we kind of
know how that's going to go. Uh, how the market's
even going to be impacted and maybe go you know,
and how people react. Is is it the only you know,
thing that's affecting the market. No, but it sure is
a big that seems to be a big marker for
(19:34):
for the market.
Speaker 1 (19:35):
I just realized something. But I just realized something. I
probably cut myself out of a job. Because I'm seeing
the smile on Jason's face as you're giving your background,
and I can see the goosebumps forming on his arms.
I'm like, I'm the least tech guy out of out
of the out of the three on this on this show.
So yeah, I'm just gonna can I get you guys
some coffee or something? I mean, I don't know, you know,
(19:57):
I'm not I'm gonna I'm gonna lose my host I'm
going to lose my home job. And Jason oh Man
just kidding out. That's fascinating that it just it cracks
me up though to hear you say that and that
you can go so deep into I mean, you you
literally spent the last what well prior. I mean you've
had your doctor right now for what about a year,
So you spent with the last six seven years literally
(20:19):
focusing on AI and and it's amazing. God bless you
and the in the stories. Jason, you know this, You're
you're a big scholar guy. I mean, the the dedication
it takes to get your doctorate degree. I would talk
to him, you know, I get emails from him at
twelve one o'clock in the morning, and it's seven days
a week. You know, his his kids who are now,
(20:40):
you know, very successful soccer stars on the professional level.
You know, Dennis is traveling the world sometimes and still
tapping away on the laptop and writing papers. I don't
know how you did it, bro. Yeah, I'm nowing down
to you. Phenomenal.
Speaker 3 (20:55):
We're all very much like that. I think we're lifelong learners.
Speaker 1 (20:58):
Yes. Absolutely.
Speaker 3 (21:00):
The best uh, the best way to describe the way
I feel about AI is a term I heard today.
Uh it is I guess I could describe myself as
being irrationally passionate, which yeah, I love it. It's it's
sticking to my head, but it is like it there
(21:21):
there is no no, uh, no barriers. There's no guidelines
around it. It's just the way I feel. And then
when people say why you know you're you're reading that
for fun, It's like, yeah, this, I can't wait, Yeah
I want. My favorite time is on Saturday mornings, go
sit outside and I'll read a paper, not the paper,
(21:42):
but a paper, research paper. And let me tell you
and AI, there is so much research coming out every day.
If you're looking at just from a research academic perspective,
you know, it's keeping pace with everything else that's going
on in the world. And a lot of those papers
are coming from China. A lot of those papers are
(22:03):
coming from other countries around the world. There's there, there
are there are other good points. You know, There's there's
knowledge out there all around the world about AI.
Speaker 1 (22:11):
Now I understand. While Jason, I'm trying to take a
nap Saturday afternoon, it's like one thirty, you know, and
I'm sitting on the couch and just a nice calm day,
and he texts me. He's like, bro, bro, you gotta
read what I just sent you. And it was in
regards to the financial service. He's just for twenty minutes,
I call him I'm like, what is this? You know,
I'm like, you know, you guys figure out how to
crack the code or something. This is the most fascinating,
(22:33):
you know what I've ever We got to talk about
this on Monday. So he when he says he's passionate,
that is an understanding. I thought, I'm passionate about what
we do. But he takes the cake, he takes the gig.
So that's what it takes. Bro, That's what it takes.
All right, let's go and take this break and we'll
get back to our topic again. Are you on the
positive side of AI? We'll get down into it first.
Jack Saban has news traffic and with her, Hey, Jack,
(22:59):
welcome back to the johns Sanchez Show on these Talk
seven eighty koh with Jason Ghn and my brother, doctor
Dennis Sanchez. We're discussing AI the effect again. Are you
going to embrace it? Are you going to be on
the positive side of AI? Or are you going to
fight it? And probably, to be real frank with you
probably lose quick recap once again to the market, sixty
four point loss on the now record setting to day
for the Nasdaq in the smp up seventy on the Nasdaq,
(23:20):
one point game on the SMP five hundred. Okay, guys,
let's get into this this first area, the AI effect.
Is AI a friend or a foe? Now, Dennis, what
you were talking about in this point is what you
mentioned earlier, and that is where we start looking at it. Right.
We feel we're out of control with AI. Right, We're
losing control, We're being replaced, We're losing our jobs, whether
(23:41):
ourselves or our family. Our career is being derailed. We've
got all these things going on. We have the uncertainties
we all were born into AI. A couple just a
couple of years ago saying it's going to control the world,
that the bots are going to take over, They're going
to control all the computers. I mean, on and on
and on. So what's your advice, first of all, in
(24:02):
regards to how do we view AI as a friend
and how do we view it as a foe?
Speaker 3 (24:08):
Great question, And the first thing that comes to mind
is that this is a level playing field when it
comes to how it affects everybody. You may be thinking
that it's only somebody who's not a techie, but we're
talking about you know, the type of people that I
interact with every day. We're not going leaders of Fortune
one hundred companies that are uncertain about themselves and their future,
(24:32):
because it's just kind of opening up a whole new
playbook of how to do things in an organization. There
are new roles that are emerging. There's who's responsible for
ethics AI ethics in an organization. That position doesn't exist,
but it will at some point. So this is whether
(24:53):
people admit it or not, it's affecting them. So let's
just all accept that. We you know, whether or not
they're sharing it through pride or whatever. People it has
impacted people that way it starts. I'm sorry, go ahead.
Speaker 1 (25:08):
Weren't you involved in some surveys with some some of
these Fortune one hundred companies where you surveyed like from
the c suite down in regards to I don't know
what your questions were, but how they view AI. I'm
sorry to write to you, but I thought that was fascinating.
Speaker 3 (25:21):
It's I mean, I as part of my dissertation, I
had quantitative information that came back, but it wasn't limited.
Speaker 1 (25:31):
Just to leaders.
Speaker 3 (25:32):
It was more about the experience, and some of them
are leaders and executives. And but I know from my
own day to day and I've I've had special trainings
just for executives, and I think I was sharing it.
In one company, I was asked, you know, just in
a very informal way, saying, how how would you rate
(25:53):
your your competency with AI right now?
Speaker 1 (25:56):
And it was probably the executed to.
Speaker 3 (25:58):
The executives and immediately got an email, a chat actually
in teams that said do not ask that question. And
I backed off immediately. It was because they were just
didn't feel comfortable sharing that they had a weakness and
not being an expert. Very few people are experts when
it comes to how is it making people you know, uh,
(26:22):
how is it affecting their productivity?
Speaker 1 (26:25):
There?
Speaker 3 (26:25):
We're all learning what that magic formula is to make
sure that every time it comes into an organization, they're
going to get the business value that they expect. I
think that's that's that's still the uncertainty and why you
might even see some some dragging with some companies and
and you know, being real aggressive about bringing it in.
You're not hearing stories about organizations with one hundred thousand
(26:49):
employees buying copilot licenses for all of them, you're not
You're you're not hearing anything like that, So that that's
still yet to come. That means that we're still experiment
a little bit, still trying to figure it out. I
don't think that's ever going to change because we've already
seen waves and waves of improvements in these products so
quickly that you know, look at the marketing with Microsoft
(27:11):
right now. It's really pushing the agentic side. The agents
and what they would love is for every single person
in an organization to also be a coder and you know,
be able to do all that. Be there are the
citizen developer. That's always been their dream because they make
even more money on the agent side. There's consumption and
(27:32):
there's a license kind of things that they wait, they
make moneies with that.
Speaker 1 (27:36):
Okay, you're throwing you're throwing a term out that the
three of us know, but a lot of people don't. Jason,
you've had a lot of discussions about the AI bots
in our industry. So I'm gonna throw it to you.
Jason explained the bot and then Dennis, I'll wants you
to tail in on that because this is kind of
the next level.
Speaker 4 (27:52):
Yeah, you know what what he what Dennis is talking
to on the agent side is more of I don't know,
like the person and at the front desk. For whatever
large language model you're using, right, your large language model
could be all of the data that Sanchez Gaunt has internally, right,
client information, client flow.
Speaker 2 (28:14):
And I'm just saying this for our clients. We're not
using this, but I'm just giving an example.
Speaker 4 (28:18):
Right where if you're cat tractor like all of the ordering,
all of the problems that you have, all the.
Speaker 2 (28:27):
Metal costs, and all the things.
Speaker 4 (28:29):
That ultimately you could know about your own company, and
then training an agent to be that front end that
you talk to. And that's what Microsoft wants, That's what
all of these guys want, and that's what they want
you to do. Why Perplexity is free. And remember the
whole line of if you're not paying for a product,
(28:49):
you are the product, right, So you're continuously training these
things through your questions and then follow up questions like hey,
I got an answer, they clicked off and disappeared, or
I got an answer, they then re asked another question
or asked something in a different way. This is probably
what this person wants. And then even so if I'm
logging in as myself.
Speaker 2 (29:11):
It starts to learn what I am looking and so,
you know, the.
Speaker 4 (29:17):
The bot part is more your comment about Vogue and
fake models on Twitter, right, like, wow, she's beautiful. She
doesn't exist, right, she's not talking to you. There's no
chance that would happen. But you can create these things,
these artificial interactions. Be it people, be it responses, uh,
(29:39):
you know, be it just data that's blown into chat
functions or twitters or you name it. And that's where
the bot part is. The emails you get and all
that sort of autonomy, automated garbage in most cases is
what it is. But it's only just the first round.
Eventually it will be much more interactive. That's the whole
(30:02):
you know, Tesla elon Musk. Robots will take over the world.
That's our next real big endeavor, because how do you
get to you know, a g I, Right, you need
enough information and response for a robot or an agent
or something to truly have an interactive conversation with you
(30:22):
that's not stale and doesn't really get you what you want.
So yeah, there's it's super exciting, but yeah, the field
is just you know, just just just starting.
Speaker 1 (30:34):
Yeah, just dinn's real quick, before we go to break,
you share a story with me one of our conversations
over the last few months or so in regards to
and I don't know if you said, this is the
future or maybe it's existing. Where a person sits down
at their cubicle. Let's say they're a data entry person
and you know, Frank used to sit next to them,
but now it's not Frank. It's an empty, empty cubicle.
(30:55):
That's a that's a bot, right, and you're basically sitting
down going good morning. You know, mister bot, what do
you have lined up for me today? Right? Go down
that path real quick.
Speaker 3 (31:08):
Well, this is where the future is now. And who
would have thought futuring a couple of years ago that
we would be so close. But I remember even reading
papers then that they were already talking about when agents
really are mature in the market, it's going to change
the dynamics. We have a new paradigm shift, and that
(31:30):
is mainly because they can work independently. Look look at
where we started. We started by commanding computers to do
think command. Now we're having a dialogue with this technology.
It's going back and forth and we're listening because you know,
there's good suggestions the agent can work entirely by itself.
(31:52):
It doesn't need for me to check in on it.
In fact, it might be checking in on me and
what I'm doing half the time. And then there is
ability to orchestrate groups of agents, and there'd be an
orchestrator who is basically controlling them all the manager that
dynamic that's scaring the living daylight side of people because
that is the potential of probably being replaced more than
(32:18):
any other type of advancement in AI. In my opinion,
this was the game changer when in this it came
out in the second wave of generative AI from Microsoft,
it was it wasn't even the fifth or either or
sixth wave. They're already pushing it. And then just imagine
what that world might look like. They will be They're already.
Speaker 4 (32:41):
The orchestration of a drone fireworks show is a good example.
All of these autonomous beings with one orchestrator who's able
to is making decisions. Because all wins are different and
this needs to be here versus the other one.
Speaker 2 (32:58):
They can't all move in unison. They have to move it, you.
Speaker 4 (33:02):
Know, based on other spatial things too, so the you know,
it's limitless, it's yeah, but very much so. It if
done well, it is just a really good exhibit assistant.
Speaker 2 (33:15):
It's just how good are you as a boss?
Speaker 1 (33:17):
Yeah?
Speaker 2 (33:18):
Telling it what to do? Right, that's the toughest part.
Speaker 1 (33:20):
All right. When we come back, guys, we're gonna wrap
up with back to the topic, which is is AI
our friend or our folks? So, Dennis, I want you
to focus on something positive, which is how can we
use AI, you know, as a friend? Right? We know
it can be a foe and some amastasis, but it
also can really be a great friend. I e. The
well you'll find out. I don't want to get out
of the bag. Let's wrap it up with Christmas snow
(33:40):
right now, christ welcome back to the John Sanchez Show
on News Talk seven eighty k o H with Jason
Ght and my brother, doctor Dennis Sanchez, the AI doctor.
We've been discussing are you on the positive side of AI? Right?
We as human beings, as the three of us are
just chatting during the break, we as human beings, we
hate change. And again, when you when it affects you
(34:01):
personally from a negative side, it's like I hate this technology.
I don't want anything to do it. Jason, you brought
up a good point where chatting two breaks ago, where
we have a lot of clients that I would say
a lot. We have a handful of clients that literally
they will not email us, they will not do anything
technology related. They Yeah, they're just not comfortable. And so
(34:22):
when you start talking about AI and that type of
thing and that, they're like, no way in heck right,
there's millions and millions of people that are that way.
But let's focus for the last couple of minutes. Let's
focus this conversation Dennis down to the guy or gal
out there listening right now saying, Okay, I've had a
negative experience or I'm a fearful it's going to take
my job. Like Jason said, you know the bot caterpillar.
(34:43):
Oh Jesz, I used to do that work. Now you
know now AI, a bot's gonna do it or whatever.
How do we get on this positive side, because either
you either adapt to it or you don't, but we
want to. We know it's going to change our lives.
It is how do we become positive psychologically? Well?
Speaker 3 (35:01):
Great, great question. Uh, it starts with the mindset, and
if you I would, I would bet that instead of
most people being negative, they're probably more neutral than they
are positive or negative. They they're still undecided because they
haven't had enough experiences. And one of one of the
things we've learned, even by watching people get you know,
(35:24):
used products more and more and more, when they get
comfortable and then they feel better about it, then a
lot of those barriers that they had, uh, misconceptions and
opinions kind of go away, the biases go away when
they start working with it and experience some of those
those great things. Uh So it starts with the mindset
just to be looking for the positive. So we we
(35:47):
can get so trapped in this negative conversation about a
we could we could spend all week just talking about
all the fears and things like that. They're real Okay,
now it's time for us to take action, taken troll
and and really think about the positive things because they're
a lot more fun to think about and actually experience
than the negative things. And I really think there's there's
(36:10):
two very important things that we have to do, and
it boils down to that one invest in yourself, which
get yourself up to speed in this technology. It's not
hard to do. Get you know, get past the mystique
of it. It's not that hard. It's it's the friendliest
technology we've ever had. And the other thing is get
on the positive side of investing in AI because there
(36:32):
are opportunities there. They align very well with this. Let's
let's leave the negative part of AI and and the
rear view mirror because there's so much ahead of us
that's exciting that we have yet to explore.
Speaker 2 (36:46):
I like that, Jason, No, I completely agree. I.
Speaker 4 (36:49):
You know, sometimes the thing you're scared of, you know,
go take a put your foot in the pool. You
just need to get a sense of what is that ye,
and you'll be surprise. You'll use it in search like ways, right, perplexity,
et cetera. You know, it'll give you a different experience
than you may be used two in a Google if
(37:10):
you just use it for.
Speaker 2 (37:12):
A search functionality.
Speaker 4 (37:14):
But there's creative functionality too, right where it generates things, images,
et cetera. It's really you know, it becomes more of
an exciting thing for you as a person to say,
what would I like to do with it now?
Speaker 1 (37:27):
Yeah? Absolutely, And folks in a couple of weeks. Then
this is going to be announcing some education for you
to participate in. To again be comfortable. You've got to
understand it. He's got some great courses, so you're gonna
put together. That's all I'll say on that. Guys. Great job.
This was a blast. Look forward to it every single Monday. Jason,
see you tomorrow, see you next week. Bro. You've been
listening to the John Sanchez Show, News Talk seven to eighty.
(37:48):
Can't wait? All right? This program was sponsored by Sanchez
gone To Capital Management LLC. The material in this program
was intended as general information only and should not be
taken as specific, investment, tax or legal advice. None of
the information on this broadcast was intended to be a
solicitation for the purchase or sale of any security. Further
(38:09):
information is available by contacting John at Sanchez Gaunt dot
com or seven seventy five eight hundred one eight oh one.
John Sanchez offers securities and advisory services through Independent Financial
Group LLC, a registered broker dealer and Investment Advisor member
FINRA SIPC. Securities offered only in States. John Sanchez is
registered in Sanchez Gaunt Capital Management, LLC in Independent Financial
(38:34):
Group LLC are unaffiliated entities,
Good Monday, Afternancia. Welcome to the John Sanchez Show on
News Talk seven to eighty k wait. That's a pleasure
to be with you, and a pleasure first of all
to be back with my partner, Jason Gunt. Welcome back, man.
I'm glad you remembered where the office is.
Speaker 2 (00:18):
You got the keystone?
Speaker 1 (00:19):
Yeah, exactly, that's always that's always the telltale side, right Yeah, yeah,
I don't don't ask me. I yeah, we paid people
to do that. Oh. So good to be back with you,
and so good to be back with my brother, doctor
Dennis Sanchez for the the AI education that only he
(00:41):
could deliver. The fans went nuts with you last week. Bro,
the fans went and nuts the comments about wanting to
learn with AI and your knowledge of it. So, as
we promised the audience last Monday, you are going to
be part of the Monday segment of the John Sanchez
Show with Jason and I. So, Dennis Sanchez, thank you
for coming back, my man.
Speaker 3 (01:01):
Well, thanks for inviting me and pleasure to be here.
And I knew your audience was sophisticated.
Speaker 1 (01:07):
Oh they are, they they are. They are the smartest
audience that I've ever seen. I promise you that I
told you that from the beginning. Jason. Did you know
that Dennis and I did the radio together when I
did not know? Yeah, when we were working together in
the early two thousands, and when I opened the renal
office in two thousand and one. Yeah, he was with me.
He was with me on the radio on Saturdays and stuff,
(01:27):
and did his fair share of stock cup days, right
bro Yep, yep.
Speaker 3 (01:32):
The first time was Oh, guess what tomorrow. I know
it's midnight, but you're going to have to do the
up day tomorrow at three point thirty in the morning.
Speaker 2 (01:42):
That sounds weird.
Speaker 1 (01:43):
I was gonna say, do tell that that, Jason? Oh God,
that's so true. I guess I did it to both
of you guys. I remember.
Speaker 3 (01:56):
Hearing my voice, but not really. It felt like it
was out side of my body.
Speaker 1 (02:04):
Oh that's so good. That's so good. Poor Jason. I
don't think I ever gave you. I think with the
first or second day that you joined the firm, Jason,
I think I threw you on the radio at that point.
Speaker 4 (02:14):
Yeah, And you made me a guideline for the updates
at one point.
Speaker 1 (02:17):
And I still know is that what you're Is that
what you're showing me? Yeah, that's the guy.
Speaker 4 (02:21):
No kidding, I still print this, I still keep it.
Speaker 1 (02:26):
At least you've got a guideline exactly. I've been proved
my managerial skills as time is gone. At least you
had market knowledge. Poor Dennis did. He didn't have market
knowledge when he joined me. He just he just had.
He had just passed the series seven and sixty three
and sixty five and light and insurance and all that stuff.
And it's like, okay, your license, come on in. You
(02:50):
know what you know, You're just you're you're certified. Now.
Speaker 5 (02:54):
Oh that's right, that's right. Throw them in, Just throw
them in. All right, boys? What's so great to with
all of you? And hope you all of you had
a great weekend. Let me tell you what we have
lined up for you. We're Jason, I of course going
to go through the market recap for you and tell
you everything that happened in this market today.
Speaker 1 (03:09):
Pretty interesting session. But most importantly, as I recapped on Friday,
I want to do it one more time, Jason, and
that is recap what we have in store this week,
because this is a historical week as far as the
earnings numbers, the FED meeting, the non foreign payroll numbers,
the inflationary data, the August first tariff deadline. I mean,
what else could there be? Right? And man, it's going
(03:30):
to be a busy week. So we will recap that
once again kind of give you our outlook, and then
we're going to get to Dennis, Doctor Dennis Sanchez. We're
going to be talking about a really interesting subject today
on AI, and that is this, are you on the
positive side of AI? Now? Last week Dennis and I
spoke a lot about, you know, is AI going to
(03:52):
take your job? Right? And what we have to look at, folks,
is we talk about AI and we begin to delve
deeper and deeper in how it impacts again all of
our business lives and our personal lives. We have to
look at it. And Dennis, I'm going to have you
real quickly explain this. There's really, you know, two sides
to AI. There's the side that do you want to
embrace it? And then there's the side where you go,
(04:14):
I don't want this technology in my life, you know,
for whatever reason to maybe maybe you lost your job,
maybe you know someone, as we hear from a lot
of our listeners, their families lost their job due to AI.
So this is really something where it's going to be
focused in on the mental aspect, which is are you
on the positive side of AI? And that's what we're
going to explore it. But a touch on that real quickly, Well,
(04:35):
you hit.
Speaker 3 (04:35):
It on the nose. It actually begins with something we
don't even we're not even conscious of, and that's the
negative reaction. It's a it's kind of a survival mechanism.
So think about it. When we when we're afraid of something,
they're not even afraid. We're just uncertain. We tend to
be very very conservative, meaning we either stop moving, or
(04:56):
we retreat, or we ignore it. We do all those things.
Those sound very you know, those are characteristics the way
that people are reacting to AI and all aspects, whether
it's using it or even as you know, we've talked
it's even about investing in it. It's just the mystique
of AI. It touches people both positively and negatively. Frankly,
(05:18):
I don't think it'll ever change because it's changing too
quickly for people to get comfortable with it. It's more like
how can we live with it? How can we make
it positive and be on the positive side instead of
being in fear being worried. There's so much potential for
us there on the positive side. That's what we want
to talk about.
Speaker 1 (05:37):
The realism, Jason, did you happen to see I was
telling Dennis about this earlier. Did you happen to see
that interview this morning? It was fairly early with A
and I couldn't catch what firm he was with, but
he was a portfolio manager. And this is the first
time I've ever seen this. The CNBC host was talking
about the tech earning season, right, we have Microsoft and
Meta and Apple and Amazon this week, and he came
(05:59):
out and he said, well, our AI models are telling
this that that that det and they got on this
whole a how this firm is using AI to again
predict where earning seasons are going to come in for
the stocks that they follow in their universe. And he said,
we use three different AI what's the right term, guys,
uh engines? You know, the like us as chatgy or
(06:22):
the Chachu language or language models. Yeah, language models? Yeah, Okay,
So he said, yeah, we use three of them and
we kind of, you know, basically, I'll use the term
average them together as far as what the model said.
But Jason, that to me. I don't know about you,
but that was the first time I ever saw somebody,
uh a portfolio manager ever say that on national TV
that they are utilizing AI and their predictive behavior where
(06:44):
earnings are going to be, et cetera.
Speaker 4 (06:46):
Yeah, so, uh, you know, before the show started, I
was talking to Dennis. You know, I worked at a
quant We've been doing that for twenty years, right, Right,
it's just a matter of sort of as he mentioned
so well, the the parabolic move that the usage and
the adoption rate and the change of these large language models,
(07:08):
the anthropics, you know, chat, GBT, perplexity, you name it,
the accessibility of these things. And in fact, Amazon, for example,
they're trying to be like the I don't know if
there's sort of an odd.
Speaker 2 (07:21):
Analogy, but they're trying.
Speaker 4 (07:22):
To be the the the Walmart of models, where you
go into a WUS and you can actually pull in perplexities,
l M or you know, groc or all these things
and have them sort of interact in one ecosystem and then.
Speaker 2 (07:39):
You can then have them predict things.
Speaker 4 (07:43):
But like anything, it's a function of training, right, I
will push back on the guy that was on TV.
He's a portfolio manager at a tech firm. They're gonna
sound the s e x y using words like that
of we do this in our models. It's just a
matter of how dependent you are on their results. Right,
(08:07):
that's the toughest part where you know that that training
is the most important thing. That'll be the secret sauce
you can't type into, you know, perplexity and say, you
know of these twenty companies, who's gonna beat earnings? Right
like because then unknowns else they have inside information and
then that would cool, but it is, it's it's so
(08:29):
crazy and you know again Dennis Noil, it's happening so
fast you don't even have time to be afraid of it.
So it's it's exciting. You know, I nerd out with
this stuff.
Speaker 1 (08:41):
So yeah, I know a great, great example.
Speaker 3 (08:44):
And just the two things you guys, the way you
were talking about the uh the broadcast this morning or
whatever you saw, those were those are people that have
embraced a I as a partner, as a partner in
the studio with as a partner and sharing information and
they're not afraid of it. They're they're getting it quickly
that by you know, they it can make them look smarter,
(09:07):
sound smarter, and it actually is like working with another
person in the studio, another partner, and it's just how
how do you How comfortable are people doing that? They
found a way and they're probably, you know, really happy
that they discovered a resource like that. How is everybody
else going to feel?
Speaker 1 (09:24):
Yeah? Right, well, anyone's got a big ketchup if you're right, Jason.
By your point, the quantitative models, of the quant models,
like you said, they've been around for twenty years. Can
you imagine somebody not utilizing that technology when the dentistry's point,
when the competitors are I mean you you are at
such an absolute disadvantage, and you know it's it's amazing.
I want to through a one quick thing and that
(09:45):
we had to go to break. So last night I
was reading my iPad before I went to bed and
kind of thumbing through some news and stuff, and guys,
this may come not as a surprise to you, but
it was to me. So Vogue, in their last issue,
the fashion magazine hired these three are excuse me five,
a five woman company that is now specializing and creating
(10:07):
AI models and they put the picture up of as
you would imagine, the most picture perfect woman, two pictures
of her, this beautiful blonde woman, and I swear on
my life had I not read that it was an
AI generated model, I would have said, oh, that's just
a beautiful model. It was that good. And so now
the whole modeling agency, to your point, Dennis is coming
(10:29):
out and going, whoa wait a minute, here, we just
got you know, the playing field level now, and we're
being treated as human beings and not sex objects and
everything else. And oh you know, now you're coming out
with AIS what's that going to do for our industry?
Models are going to be out of work and photographers
are going to be out of work. And these five
women are like, because they used to be you know,
(10:49):
in the in the actual photography side, they're like, you know, sorry,
but this is where technology is going. It was scary,
how realistic these women looked absolutely.
Speaker 2 (10:57):
Scary and stands into movies and ultimate that's.
Speaker 3 (11:02):
Right, yeah, the same thing. Writers, actors, Yeah, they've even musicians.
Speaker 1 (11:10):
Oh that's a good one. Yeah, that's a good one.
All right, perfect, All right, boys, sit back and relax
for a second. We're gonna take this first break. When
we come back, we're gonna continue. We're gonna get into
our stock market recap and then get into our topic
with doctor Sanchez. Are you on the positive side of AI?
It's your choice and we're gonna help you help make
that decision later in the program. Serve over to Christensen.
She's in the right now traffic center. Hello Christen. Likewise,
(11:43):
welcome back to the John Sanchez Show on Newstalk seven
to eighty K, which joined of course by Jason Gnham,
Sanchez Gon Capital Management, and my brother, doctor Dennis Sanchez,
the AI doctor. All right, before we get to our
topic with Dennis, we got to do a stock market
recap and then our topic once again is gonna be
are you on the positive side of AI? Let's hit
this market. We weren't too positive today, Jay on the
on the market side of things, at least on the
(12:03):
dow side, struggled out of the gate today sixty four
point losses. How we finished up to a close of
forty four thousand and eight thirty seven, but as another
record setting day for the NASDAK and the SMB. NASDAK
shot up seventy points point three to three percent to
a close of twenty one thousand and one seventy eight,
SMP gained one point to close at six thousand, three
hundred and eighty nine. On the commodity side, we lost
(12:24):
abuck fifty eight on oil the sixty six to seventy
five of a barrel week day for goal down twenty
six dollars and ten cents to three thousand, three thousand,
three hundred and nine dollars. And uh, let's see about
sixty cents three basis point increase on the tenure. You'll
close four to forty two. There, take it away, mister gunt.
Speaker 4 (12:42):
Yeah, do you see that we are have about a
five hundred billion dollar hole to fill with our debt? Yeah,
issuees over the next you know, yeah, term, that's wonderful.
Speaker 1 (12:52):
Jurist will pay for that. One months of tariffs.
Speaker 4 (13:00):
Today was ironically with you know, Japan announced, EU announced.
You would have thought you would have had a better
market today, but really highlights the fact that we're at
the later stages of that April bounds.
Speaker 1 (13:11):
Right.
Speaker 4 (13:11):
The market has gotten up to up and through the highs,
and these are always difficult when there's no real line
to look at above you, right, So now it becomes
more very much a psychological game. Those round numbers sixty
five hundred on the S and P, those are the things,
forty five thousand on the Dow, right, those are going
to be the numbers that the market's going to fixate
(13:32):
on more.
Speaker 2 (13:33):
Now. I think the debt information is not a great one.
Speaker 4 (13:37):
I don't like seeing that we need to continue to
press on the gas pedal to fill up the general account,
but so it goes. Hopefully the tariffs can help alleviate
some of it, but energy tech held up. Those were
okay today, Laggers, real estate, materials, utilities, So you know,
nothing alarmed me. This is more of a I would
say a little bit of profit taking, even the move
(14:00):
into what you touched on earlier about of lots of
punches to be taken both up and down by the
likes of the largest S and P five hundred constituents
we have, and a ton of economic news. So we'll
call today a draw with the facts. And you finished flat.
You know, the Dow had travelers and things like that.
(14:23):
Will we will be back.
Speaker 1 (14:24):
Tomorrow absolutely well, And once again is the highlights of
jacent alluded to it I mentioned last segment. We've got
Meta and Microsoft on Wednesday, Amazon and Apple on Thursday.
The FED interest rate decision on Wednesday, followed by the
press conference at eleven thirty. The interest right decision will
come at eleven o'clock. No one on the streets anticipating
(14:45):
the Fed to do anything. As a reminder, there will
be no FED meeting in August, So this is going
to be an interesting one, Jason. Whether Jerome Palell at
the press conference indicates anything in regards to what may
happen at the September meeting, that seems to be with
the focuses at this point, But don't expect anything out
of this meeting as far as our rate. Just again
is what's he saying, what's the chairman saying? And then
(15:07):
the fast favorite measure of inflation, the personal consumption and
expenditure PC as we call it, will come out on
Friday also, So yeah, a lot of things that can
move the market. But you know, back to your point, Jason,
you know this was interesting yesterday. Is Trump warned on Friday,
and I say warned in a good sense. You know,
you reached the deal with the European Union, dropped the
tariff from well depend upon where you were looking twenty
(15:28):
percent down to fifteen percent, got them to kick in
about seven hundred and seventy billion dollars into the US economy,
a lot of money coming into energy, some defense programs
or products, et cetera. But yeah, the market, you know,
back to what you say, solo, we can we many
times and that is, yeah, you buy the news, you
sell the rumor type of thing, right, or buy the
(15:49):
rum or sell the news. Excuse me? Market had this
market had a reverse market, had this party well priced in?
So yeah, not much of a reaction to that one.
Speaker 4 (15:57):
And you look at the Europe etf Europe, Asia Far
East today is down one and a half percent, right,
so hardly the excitement one would think on the heels
of Japan, and you know you settling with the US.
Speaker 2 (16:11):
So absolutely remember, yeah, like you, things get priced in,
Yes they do.
Speaker 4 (16:18):
The market is a discounting mechanism. It's six to nine
months ahead of.
Speaker 1 (16:22):
Where things are.
Speaker 2 (16:23):
That's why we've said so many times in the past.
Speaker 4 (16:25):
The retail investors have a tough time because they react
to headlines and the market is already we priced that.
Speaker 1 (16:32):
Into two months ago, in the future. But the question is,
well AI bumped that out even further right looking that
from is gonna be a forward looking twelve month market
who knows well? Speaking of AI, let's we got a
couple of minutes for our break. Let's get to our topic.
Are you on the positive side of AI? Thennis, Before
we get started, For those that may have missed your
(16:53):
introduction last week, besides being my brother, give the audience
a little bit of background about you and why we
have you on now every Monday to talk AI, as
it's encompassing so many aspects of our personal and our
business lives. A little background in.
Speaker 3 (17:05):
Sure, pretty much been in technology all my life, and
then about eleven years ago I really started aligning with
what was going on with AI, and not necessarily the technology.
I was working for Microsoft the time, it was really
thinking about how it impacts people, and there was such
(17:27):
so little information and there was so little thoughts about
how it was impacting. It was all about, you know,
getting this technology in eliminating jobs and then all of
course all of that financially going to the bottom line
and organizations being more profitable. So I took it on
myself at that point to research and try to figure
(17:48):
it out and really kind of came to a conclusion
very quickly that I didn't know anything, and I needed
to go back to school and get the theory, get
the foundation, really understand from some of the traditional ways
we looked at organizational psychology, what is going on. So
I studied, got my master's in iopsychology. My thesis was
(18:10):
on the adoption of Azure Cloud. So I was really
getting into the technology, and then I couldn't stop. Went
back finished four years later, I've got my doctorate and
then I did my academic work there on the impact
that generativity has on emotions and the correlation between positive
(18:31):
and negative emotions and the way people use the technology going.
I bring that point up because it is so much
about positive and negative. It starts there with the way
we're not even thinking about our reaction. It's on a
primitive level. Most of it is subconscious or you know,
we're not even thinking about it, but it's just our
(18:52):
natural reaction. And then kind of take that concept and
now expand it to the negative and positive side of AI.
It starts in our own reaction, and now it's amplified
two bigger things. You're talking about good and bad news
in the market. Next week, you mentioned to two AI companies,
(19:13):
very problem the position of that almost as if depending
on how they went, which I think we kind of
know how that's going to go. Uh, how the market's
even going to be impacted and maybe go you know,
and how people react. Is is it the only you know,
thing that's affecting the market. No, but it sure is
a big that seems to be a big marker for
(19:34):
for the market.
Speaker 1 (19:35):
I just realized something. But I just realized something. I
probably cut myself out of a job. Because I'm seeing
the smile on Jason's face as you're giving your background,
and I can see the goosebumps forming on his arms.
I'm like, I'm the least tech guy out of out
of the out of the three on this on this show.
So yeah, I'm just gonna can I get you guys
some coffee or something? I mean, I don't know, you know,
(19:57):
I'm not I'm gonna I'm gonna lose my host I'm
going to lose my home job. And Jason oh Man
just kidding out. That's fascinating that it just it cracks
me up though to hear you say that and that
you can go so deep into I mean, you you
literally spent the last what well prior. I mean you've
had your doctor right now for what about a year,
So you spent with the last six seven years literally
(20:19):
focusing on AI and and it's amazing. God bless you
and the in the stories. Jason, you know this, You're
you're a big scholar guy. I mean, the the dedication
it takes to get your doctorate degree. I would talk
to him, you know, I get emails from him at
twelve one o'clock in the morning, and it's seven days
a week. You know, his his kids who are now,
(20:40):
you know, very successful soccer stars on the professional level.
You know, Dennis is traveling the world sometimes and still
tapping away on the laptop and writing papers. I don't
know how you did it, bro. Yeah, I'm nowing down
to you. Phenomenal.
Speaker 3 (20:55):
We're all very much like that. I think we're lifelong learners.
Speaker 1 (20:58):
Yes. Absolutely.
Speaker 3 (21:00):
The best uh, the best way to describe the way
I feel about AI is a term I heard today.
Uh it is I guess I could describe myself as
being irrationally passionate, which yeah, I love it. It's it's
sticking to my head, but it is like it there
(21:21):
there is no no, uh, no barriers. There's no guidelines
around it. It's just the way I feel. And then
when people say why you know you're you're reading that
for fun, It's like, yeah, this, I can't wait, Yeah
I want. My favorite time is on Saturday mornings, go
sit outside and I'll read a paper, not the paper,
(21:42):
but a paper, research paper. And let me tell you
and AI, there is so much research coming out every day.
If you're looking at just from a research academic perspective,
you know, it's keeping pace with everything else that's going
on in the world. And a lot of those papers
are coming from China. A lot of those papers are
(22:03):
coming from other countries around the world. There's there, there
are there are other good points. You know, There's there's
knowledge out there all around the world about AI.
Speaker 1 (22:11):
Now I understand. While Jason, I'm trying to take a
nap Saturday afternoon, it's like one thirty, you know, and
I'm sitting on the couch and just a nice calm day,
and he texts me. He's like, bro, bro, you gotta
read what I just sent you. And it was in
regards to the financial service. He's just for twenty minutes,
I call him I'm like, what is this? You know,
I'm like, you know, you guys figure out how to
crack the code or something. This is the most fascinating,
(22:33):
you know what I've ever We got to talk about
this on Monday. So he when he says he's passionate,
that is an understanding. I thought, I'm passionate about what
we do. But he takes the cake, he takes the gig.
So that's what it takes. Bro, That's what it takes.
All right, let's go and take this break and we'll
get back to our topic again. Are you on the
positive side of AI? We'll get down into it first.
Jack Saban has news traffic and with her, Hey, Jack,
(22:59):
welcome back to the johns Sanchez Show on these Talk
seven eighty koh with Jason Ghn and my brother, doctor
Dennis Sanchez. We're discussing AI the effect again. Are you
going to embrace it? Are you going to be on
the positive side of AI? Or are you going to
fight it? And probably, to be real frank with you
probably lose quick recap once again to the market, sixty
four point loss on the now record setting to day
for the Nasdaq in the smp up seventy on the Nasdaq,
(23:20):
one point game on the SMP five hundred. Okay, guys,
let's get into this this first area, the AI effect.
Is AI a friend or a foe? Now, Dennis, what
you were talking about in this point is what you
mentioned earlier, and that is where we start looking at it. Right.
We feel we're out of control with AI. Right, We're
losing control, We're being replaced, We're losing our jobs, whether
(23:41):
ourselves or our family. Our career is being derailed. We've
got all these things going on. We have the uncertainties
we all were born into AI. A couple just a
couple of years ago saying it's going to control the world,
that the bots are going to take over, They're going
to control all the computers. I mean, on and on
and on. So what's your advice, first of all, in
(24:02):
regards to how do we view AI as a friend
and how do we view it as a foe?
Speaker 3 (24:08):
Great question, And the first thing that comes to mind
is that this is a level playing field when it
comes to how it affects everybody. You may be thinking
that it's only somebody who's not a techie, but we're
talking about you know, the type of people that I
interact with every day. We're not going leaders of Fortune
one hundred companies that are uncertain about themselves and their future,
(24:32):
because it's just kind of opening up a whole new
playbook of how to do things in an organization. There
are new roles that are emerging. There's who's responsible for
ethics AI ethics in an organization. That position doesn't exist,
but it will at some point. So this is whether
(24:53):
people admit it or not, it's affecting them. So let's
just all accept that. We you know, whether or not
they're sharing it through pride or whatever. People it has
impacted people that way it starts. I'm sorry, go ahead.
Speaker 1 (25:08):
Weren't you involved in some surveys with some some of
these Fortune one hundred companies where you surveyed like from
the c suite down in regards to I don't know
what your questions were, but how they view AI. I'm
sorry to write to you, but I thought that was fascinating.
Speaker 3 (25:21):
It's I mean, I as part of my dissertation, I
had quantitative information that came back, but it wasn't limited.
Speaker 1 (25:31):
Just to leaders.
Speaker 3 (25:32):
It was more about the experience, and some of them
are leaders and executives. And but I know from my
own day to day and I've I've had special trainings
just for executives, and I think I was sharing it.
In one company, I was asked, you know, just in
a very informal way, saying, how how would you rate
(25:53):
your your competency with AI right now?
Speaker 1 (25:56):
And it was probably the executed to.
Speaker 3 (25:58):
The executives and immediately got an email, a chat actually
in teams that said do not ask that question. And
I backed off immediately. It was because they were just
didn't feel comfortable sharing that they had a weakness and
not being an expert. Very few people are experts when
it comes to how is it making people you know, uh,
(26:22):
how is it affecting their productivity?
Speaker 1 (26:25):
There?
Speaker 3 (26:25):
We're all learning what that magic formula is to make
sure that every time it comes into an organization, they're
going to get the business value that they expect. I
think that's that's that's still the uncertainty and why you
might even see some some dragging with some companies and
and you know, being real aggressive about bringing it in.
You're not hearing stories about organizations with one hundred thousand
(26:49):
employees buying copilot licenses for all of them, you're not
You're you're not hearing anything like that, So that that's
still yet to come. That means that we're still experiment
a little bit, still trying to figure it out. I
don't think that's ever going to change because we've already
seen waves and waves of improvements in these products so
quickly that you know, look at the marketing with Microsoft
(27:11):
right now. It's really pushing the agentic side. The agents
and what they would love is for every single person
in an organization to also be a coder and you know,
be able to do all that. Be there are the
citizen developer. That's always been their dream because they make
even more money on the agent side. There's consumption and
(27:32):
there's a license kind of things that they wait, they
make moneies with that.
Speaker 1 (27:36):
Okay, you're throwing you're throwing a term out that the
three of us know, but a lot of people don't. Jason,
you've had a lot of discussions about the AI bots
in our industry. So I'm gonna throw it to you.
Jason explained the bot and then Dennis, I'll wants you
to tail in on that because this is kind of
the next level.
Speaker 4 (27:52):
Yeah, you know what what he what Dennis is talking
to on the agent side is more of I don't know,
like the person and at the front desk. For whatever
large language model you're using, right, your large language model
could be all of the data that Sanchez Gaunt has internally, right,
client information, client flow.
Speaker 2 (28:14):
And I'm just saying this for our clients. We're not
using this, but I'm just giving an example.
Speaker 4 (28:18):
Right where if you're cat tractor like all of the ordering,
all of the problems that you have, all the.
Speaker 2 (28:27):
Metal costs, and all the things.
Speaker 4 (28:29):
That ultimately you could know about your own company, and
then training an agent to be that front end that
you talk to. And that's what Microsoft wants, That's what
all of these guys want, and that's what they want
you to do. Why Perplexity is free. And remember the
whole line of if you're not paying for a product,
(28:49):
you are the product, right, So you're continuously training these
things through your questions and then follow up questions like hey,
I got an answer, they clicked off and disappeared, or
I got an answer, they then re asked another question
or asked something in a different way. This is probably
what this person wants. And then even so if I'm
logging in as myself.
Speaker 2 (29:11):
It starts to learn what I am looking and so,
you know, the.
Speaker 4 (29:17):
The bot part is more your comment about Vogue and
fake models on Twitter, right, like, wow, she's beautiful. She
doesn't exist, right, she's not talking to you. There's no
chance that would happen. But you can create these things,
these artificial interactions. Be it people, be it responses, uh,
(29:39):
you know, be it just data that's blown into chat
functions or twitters or you name it. And that's where
the bot part is. The emails you get and all
that sort of autonomy, automated garbage in most cases is
what it is. But it's only just the first round.
Eventually it will be much more interactive. That's the whole
(30:02):
you know, Tesla elon Musk. Robots will take over the world.
That's our next real big endeavor, because how do you
get to you know, a g I, Right, you need
enough information and response for a robot or an agent
or something to truly have an interactive conversation with you
(30:22):
that's not stale and doesn't really get you what you want.
So yeah, there's it's super exciting, but yeah, the field
is just you know, just just just starting.
Speaker 1 (30:34):
Yeah, just dinn's real quick, before we go to break,
you share a story with me one of our conversations
over the last few months or so in regards to
and I don't know if you said, this is the
future or maybe it's existing. Where a person sits down
at their cubicle. Let's say they're a data entry person
and you know, Frank used to sit next to them,
but now it's not Frank. It's an empty, empty cubicle.
(30:55):
That's a that's a bot, right, and you're basically sitting
down going good morning. You know, mister bot, what do
you have lined up for me today? Right? Go down
that path real quick.
Speaker 3 (31:08):
Well, this is where the future is now. And who
would have thought futuring a couple of years ago that
we would be so close. But I remember even reading
papers then that they were already talking about when agents
really are mature in the market, it's going to change
the dynamics. We have a new paradigm shift, and that
(31:30):
is mainly because they can work independently. Look look at
where we started. We started by commanding computers to do
think command. Now we're having a dialogue with this technology.
It's going back and forth and we're listening because you know,
there's good suggestions the agent can work entirely by itself.
(31:52):
It doesn't need for me to check in on it.
In fact, it might be checking in on me and
what I'm doing half the time. And then there is
ability to orchestrate groups of agents, and there'd be an
orchestrator who is basically controlling them all the manager that
dynamic that's scaring the living daylight side of people because
that is the potential of probably being replaced more than
(32:18):
any other type of advancement in AI. In my opinion,
this was the game changer when in this it came
out in the second wave of generative AI from Microsoft,
it was it wasn't even the fifth or either or
sixth wave. They're already pushing it. And then just imagine
what that world might look like. They will be They're already.
Speaker 4 (32:41):
The orchestration of a drone fireworks show is a good example.
All of these autonomous beings with one orchestrator who's able
to is making decisions. Because all wins are different and
this needs to be here versus the other one.
Speaker 2 (32:58):
They can't all move in unison. They have to move it, you.
Speaker 4 (33:02):
Know, based on other spatial things too, so the you know,
it's limitless, it's yeah, but very much so. It if
done well, it is just a really good exhibit assistant.
Speaker 2 (33:15):
It's just how good are you as a boss?
Speaker 1 (33:17):
Yeah?
Speaker 2 (33:18):
Telling it what to do? Right, that's the toughest part.
Speaker 1 (33:20):
All right. When we come back, guys, we're gonna wrap
up with back to the topic, which is is AI
our friend or our folks? So, Dennis, I want you
to focus on something positive, which is how can we
use AI, you know, as a friend? Right? We know
it can be a foe and some amastasis, but it
also can really be a great friend. I e. The
well you'll find out. I don't want to get out
of the bag. Let's wrap it up with Christmas snow
(33:40):
right now, christ welcome back to the John Sanchez Show
on News Talk seven eighty k o H with Jason
Ght and my brother, doctor Dennis Sanchez, the AI doctor.
We've been discussing are you on the positive side of AI? Right?
We as human beings, as the three of us are
just chatting during the break, we as human beings, we
hate change. And again, when you when it affects you
(34:01):
personally from a negative side, it's like I hate this technology.
I don't want anything to do it. Jason, you brought
up a good point where chatting two breaks ago, where
we have a lot of clients that I would say
a lot. We have a handful of clients that literally
they will not email us, they will not do anything
technology related. They Yeah, they're just not comfortable. And so
(34:22):
when you start talking about AI and that type of
thing and that, they're like, no way in heck right,
there's millions and millions of people that are that way.
But let's focus for the last couple of minutes. Let's
focus this conversation Dennis down to the guy or gal
out there listening right now saying, Okay, I've had a
negative experience or I'm a fearful it's going to take
my job. Like Jason said, you know the bot caterpillar.
(34:43):
Oh Jesz, I used to do that work. Now you
know now AI, a bot's gonna do it or whatever.
How do we get on this positive side, because either
you either adapt to it or you don't, but we
want to. We know it's going to change our lives.
It is how do we become positive psychologically? Well?
Speaker 3 (35:01):
Great, great question. Uh, it starts with the mindset, and
if you I would, I would bet that instead of
most people being negative, they're probably more neutral than they
are positive or negative. They they're still undecided because they
haven't had enough experiences. And one of one of the
things we've learned, even by watching people get you know,
(35:24):
used products more and more and more, when they get
comfortable and then they feel better about it, then a
lot of those barriers that they had, uh, misconceptions and
opinions kind of go away, the biases go away when
they start working with it and experience some of those
those great things. Uh So it starts with the mindset
just to be looking for the positive. So we we
(35:47):
can get so trapped in this negative conversation about a
we could we could spend all week just talking about
all the fears and things like that. They're real Okay,
now it's time for us to take action, taken troll
and and really think about the positive things because they're
a lot more fun to think about and actually experience
than the negative things. And I really think there's there's
(36:10):
two very important things that we have to do, and
it boils down to that one invest in yourself, which
get yourself up to speed in this technology. It's not
hard to do. Get you know, get past the mystique
of it. It's not that hard. It's it's the friendliest
technology we've ever had. And the other thing is get
on the positive side of investing in AI because there
(36:32):
are opportunities there. They align very well with this. Let's
let's leave the negative part of AI and and the
rear view mirror because there's so much ahead of us
that's exciting that we have yet to explore.
Speaker 2 (36:46):
I like that, Jason, No, I completely agree. I.
Speaker 4 (36:49):
You know, sometimes the thing you're scared of, you know,
go take a put your foot in the pool. You
just need to get a sense of what is that ye,
and you'll be surprise. You'll use it in search like ways, right, perplexity,
et cetera. You know, it'll give you a different experience
than you may be used two in a Google if
(37:10):
you just use it for.
Speaker 2 (37:12):
A search functionality.
Speaker 4 (37:14):
But there's creative functionality too, right where it generates things, images,
et cetera. It's really you know, it becomes more of
an exciting thing for you as a person to say,
what would I like to do with it now?
Speaker 1 (37:27):
Yeah? Absolutely, And folks in a couple of weeks. Then
this is going to be announcing some education for you
to participate in. To again be comfortable. You've got to
understand it. He's got some great courses, so you're gonna
put together. That's all I'll say on that. Guys. Great job.
This was a blast. Look forward to it every single Monday. Jason,
see you tomorrow, see you next week. Bro. You've been
listening to the John Sanchez Show, News Talk seven to eighty.
(37:48):
Can't wait? All right? This program was sponsored by Sanchez
gone To Capital Management LLC. The material in this program
was intended as general information only and should not be
taken as specific, investment, tax or legal advice. None of
the information on this broadcast was intended to be a
solicitation for the purchase or sale of any security. Further
(38:09):
information is available by contacting John at Sanchez Gaunt dot
com or seven seventy five eight hundred one eight oh one.
John Sanchez offers securities and advisory services through Independent Financial
Group LLC, a registered broker dealer and Investment Advisor member
FINRA SIPC. Securities offered only in States. John Sanchez is
registered in Sanchez Gaunt Capital Management, LLC in Independent Financial
(38:34):
Group LLC are unaffiliated entities,
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