Tell me about your vision. Well, my vision when
it comes to technology is taking a very empathetic
route towards bringing along those around you,
whether or not it's the team underneath you,
the enterprise you're leading, or an entire industry
of trying to push the needle forward. One of
the things I've learned in my years in tech is
tech is scary. And usually those who don't like
to adopt tech or are frustrated with new systems
or new applications run into a typical, well,
this is how I've always done it. So I don't want
to. there's no reason for me to change. If it
works, why fix it? But because of how quickly
tech changes, especially in the last few years
with AI, trying to really empathetically understand
where they're coming from as a vulnerable spot.
It's something they don't know. It's not easy.
It's not easy for them to just... flip a switch
watch youtube video now all of a sudden they
know everything there is to to know about automating
your operations pipeline or anything like that
but if you start there and try to dig down of
like how do we uncover what's really the fear
and then and then and try to bring them up to
speed in a language that they understand not
just nerd language not glossing talking to them
so they gloss over and have no idea about the
agentic frameworks and the this that and the
others but truly try to break it into pieces
that they understand and getting them excited
for how it's going to help in the in the age
of ai a lot of the speak the speaking engagements
i've had the topic always comes up of i am a
middle manager or i am a line worker is ai going
to replace my job and what we've seen is the
most valuable people to actually create these
solutions within ai or or understand the best
use cases of ai are not your high level executives
they're not your middle level executives they
are the ones that are actually knowing what the
business processes that could be automated, that
could be potentially fixed or sped up in some
way. And they're the ones that should be empowered
to be driving those visions. So that's where
I'd say empathetic innovation is the absolute
key to being able to have a tech vision that's
adaptable and that's future proof. There's a
lot you share in that. One thing you shared was
a genetic vision, and I don't know what that
is. I know what the genetic state is. I don't
know what a genetic vision is. The second thing
I think I want to talk about, this is how I look
at it, and I might be for sure wrong. I'm no
expert in these things, and I want you to counter
that and help me get centered in what you think.
I believe that not right now, maybe not even
in the five years, but maybe in the 10, 15 years
coming forward, if people are not adapting ways
to increase their efficiency using technology
to their benefits, one way or the other, they
will be replaced. For example, before AI, before
web, when web got introduced, People, the newspaper
industry was booming in a lot of ways. And this
thing was going on. And now they have switched
to a different side. They go to a different market.
They're not the only source of advertisements,
businesses, of news, etc. There's so much more
that goes on. So people, a lot of companies...
lost businesses and a lot of companies gain businesses
and i think i see the same way i think a lot
of jobs will be created a lot of jobs will be
uh would not be needed anymore um similarly with
robot workers coming in place that i think that
might be one of the biggest um if not the most
impactful replacement of jobs where um there's
not much needed it's just Tasks on tasks on tasks
being completed, like fast food, retail stores,
things like that, where a lot of people without
much skills can get a job and just rely on systems
and processes to do jobs for them or learn to
follow systems and processes to get something
done. What are your thoughts on those two things?
Charles, I'd love to hear. Yeah. So let's dive
into them kind of piece by piece. I think one
of the first ones you mentioned of newspapers
that have gone out of fashion and have lost a
ton of money for websites and newsletters and
24 -hour news cycles. I would argue what we learn
in Marketing 101 in college is it's not necessarily
the end product that is the industry. The industry
is something that is much broader. So in a very
similar way, I would say, look at the railroads.
The railroads' biggest problem and why they failed
to be the dominant force that they used to be
was they shouldn't have been the railroad industry.
They should have been transportation. So the
railroad should have been the first airplane,
public airline. The railroad should have been
the first logistics like FedEx and UPS type of
entity because that's what they did. They moved
things from one place to another. And with newspapers,
it's... It's creating content and putting content
in front of users. Now we have a much more gamified
and addictive way to do that. So whether you
want to say that's for good or for bad, the reach
is obviously much, much, much broader. As we
look at the age of AI and what's that's changing,
one of the big pillars within AI is what's called
hyper. personalizations that is being able to
give you exactly whatever you want and so Right
now, the easy way to say is when you go on Netflix,
it says, here's the top five things that we think
you're going to like. When you go on Amazon,
it's like, here's the four products that you're
going to like. But now think about it a couple
of steps further of if you're watching a movie
with your daughter who's eight years old, shouldn't
be hearing curse words, but you both want to
watch this movie. It's actually. it could be
dynamically shifting and editing and and um deleting
either deleting scenes or moving scenes around
changing the the overall um show or movie itself
to be personalized to the audience which would
be the two of you watching movie night on friday
and so that that's where I think the old world's
using examples of like, oh, the railroads did
this and this widen that that didn't happen in
the newspapers. And now what we have with hyper
personalization, that's not replacing anything.
Now let's talk about what can replace and the
concerns about replacing. One of the things you
mentioned around robots. Robots are really good
at repeating physical manipulation of objects.
So picking stuff up, putting card doors together,
blah, blah, blah, blah, blah. That's actually
been here for about 20 years now. And what we
saw and one of the biggest failures I think we
had in the US was everything that happened in
Michigan where we were. placing scores of what
we would call our unskilled workers with these
robots to be able to build these cars. The problem
is we as a nation didn't do anything to try to
reskill or rehome, find other ways, other opportunities
for those workers to do something else and find
something else. And the other piece that comes
when I say I'm talking about AI is AI is really
good at automating and taking away the stuff
that you don't like to do. So if you're an indie
filmmaker, do you really want to be following
your taxes and applying for your business permits
and your film permits? Or do you want to be creating?
Do you want to be doing what your brain is most
adept and enjoys doing itself? And so I would
actually say. Unskilled workers is an unfair
way to categorize those who might be at a fast
food restaurant because one of their best characteristics
is being human. Humans are inherently creative.
They have pattern recognition in a very different
way. They're not good at big data sets. They're
not good at repetitive motion and repetitive
tasks, but they are good at trying to trying
to work out unique ways to solve problems. And
so that's where I would definitely separate a
couple of these different topics too. AI is not
going to just replace everybody and now we're
all out of a job. But the old joke of AI won't
replace lawyers, but lawyers who use AI will
definitely replace lawyers who don't. Now let's
talk about the agentic. that you were talking
about. I really want to hear that. I'm wondering,
did I say agentic platforms? If that's what you
meant, let me go with that. to break it down
in kind of simple terms when you had the original
chat gpt come out that is a single agent you
uh transformer that you talk to it and um it
might have a couple tools behind it but in reality
you're talking to a bot and it's outputting in
a piece of information then the uh The multi
-agent world came around where that's where I
talked. And the travel planner is usually the
one that you always hear about. The multi -agent
type of platform where I say, I want to go on
vacation. And there's the travel agent agent.
that says, oh, you want to go on vacation? Great.
Let me talk to my other experts. So I have a
airline booking expert agent that has access
to the APIs for all the airlines to find the
best price ones. Then I have a calendar agent
that has the best events that are going on at
that time. And then I have a kids events agent
that tells me what. goes well with our our family
they all report back to that single travel agent
and the out travel agent says hey here's the
four four recommended trips that you could do
that's the mo that was the multi -step and that
was revolutionary because now you're able to
really take um uh these highly intelligent AI
agents and then have them work together. Agentic
framework is now taking that, but exploding it
to the point where it's not just very specific
where you're saying you are a travel agent and
you are a booking agent and you are, et cetera,
et cetera. It is breaking them down to the...
most specialized expertise. And this is where
DeepSeq, which is the big AI alum that just came
out, a lot of big news about it. But having those
specialized expertise agents that you don't try
to prescribe what they are or build a lot of
functionality into each of them, they are continuously
being created and growing based upon the last
interaction. So then they figure out, oh, a really,
really good airline booking agent actually isn't
one that I tell it it's an airline booking agent.
It's one that's scraping the Reddit forums that
finds the next best deal or something like that.
And that is that agentic platform that has. tons
of agents and tons of tools within it becomes
really, really powerful. But it's also a very
difficult concept to really wrap your your head
around because it kind of just starts sounding
sounds like magic, like just put something in
and you'll get something out. So that's why I
think the joke I made is if I were to start talking
to a CEO and be like agentic platforms or how
we're going to change your business, it they're
going to gloss over and you have to try to break
it down into more meaningful business terms for
them. Thank you for being here today. I'm really
happy that you tuned in to Vision Pros Live.
I'm looking forward to seeing your reactions
as these episodes continue to move forward. This
is going to get more and more fun. We'll have
more and more engagement as well. We'll invite
people to participate in the show. And thank
you for giving us your time and attention. Have
an excellent time building out your vision and
becoming a vision pro yourself.