Artificial intelligence is fundamentally transforming businesses, shifting focus from traditional structures and tasks to leveraging AI for enhanced efficiency, strategic direction, and competitive advantage through data and distribution.
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AI is about to change business forever
and nobody realizes it's coming. We're
entering a brand new era. Now, the good
news is there are a bunch of new ways to
win that weren't even possible before.
So, in this video, I'm going to walk you
through the five shifts that I see
coming over the next few years. And I'll
break down both the strategy and the
exact tactic that you can use to take
advantage of these shifts. I know this
cuz I spend all day looking at cutting
edge AI and automation. I'm actually
currently launching a new AI company
every single month in my AI incubator,
Martell Ventures, and I'm starting to
see trends and patterns that aren't
obvious to the average person. So, let's
get into it. The first shift I see
coming is moving from org charts to
leverage charts. The old world was
having departments plus people, and you
had structure and hierarchy, and people
when there were problems, they just
threw bodies at them. The new world is
completely different where one person
owns a specific outcome of that
department. let's say finance and then
use AI and all the different tools from
agents to automations to robotics to get
the results for the team. We got to stop
asking who do I hire and instead start
asking what can we build to add more
leverage. So I'm going to give you two
very tactical ways to apply this to your
business. The first one is in sales. The
days of needing 12 plus people to build
a sales team are gone. Now with one
closer and then using AI to give that
closer leverage, that person can do the
job of 10 people. For example, the
infinite SDR role essentially sales
development rep can do outbound for that
sales rep, can qualify inbound, can take
phone calls, can personalize emails, can
rearrange the calendar. The whole thing
is automated through AI massive leverage
using the calendar. So the sales rep's
only talking to people that are actually
going to buy. The second one is
marketing. Think about it like your job
is to get awareness or interest for your
business. But the days of like hamster
wheel marketing and trying to just do a
bunch of tasks are gone. Now you can
actually use AI to identify what content
you should be creating. It can create
the outlines for you to create. It can
generate the emails, the copy, the
campaigns, the whole thing. All done for
you automatically. The best part, better
than you or your team could have ever
done. Why? cuz it's looked at all the
information from the top people in the
world to curate it and personalize it
just for you to speak to your ideal
customer. It is wild. If you want a next
level hack in the future, instead of
hiring IT people to do like software
tech and workflow stuff, you're just
going to hire an AI ops person. We have
this person in every one of my
companies. Their focus is making sure
that the team is getting so much time
back, getting rid of busy work, not
working on jobs, but actually directing,
which is my next point. That's where
you're going to get massive leverage for
that hire. Get away from the people.
Start looking at the AI process. And on
that note, if you want my internal AI
company operating system that walks you
through exactly how I implement AI in
every department, just click the link
below and I'll send you a full detailed
document. The second shift I see coming
is going from doer to director. The
reason AI doesn't blow people's minds to
the level it should is because they
don't know how to use it. They don't
know how to direct it. They don't know
how to craft it. In the old world, you
spent only about 10% of your time
talking with team about like vision and
creative solutions and ideas and kind of
like pushing the art form and then 90%
of your time sitting there doing the
work. Think about it for my executive
assistant. She used to spend 90% of her
time just processing my inbox and adding
stuff to the calendar and coordinating
things with other people and doing
massive research projects. Now, in this
new world, it's flipped. 80 90% of my
team's time is on directing. is trying
to understand what is freaking possible.
When you look at the automations, the
agents, the connectors, these things are
taking care of the last mile of actually
executing and booking stuff and
coordinating things, not just the
creative output. That new world is
changing the way you work with your
team. I have friends today that have
hundreds of people that work for them at
a call center. Those jobs are going the
way. If you haven't seen figure two, the
robot that sits there at the UPS store,
sorts through packages, flattens it for
the scanning, that's today. Actually,
that's six months ago. The future is
being a director of what's possible, not
doing the actual work. And those
companies are going to be massively
disrupted. If you want to adapt in this
new world to go from like doer to
director, you have to look at your whole
business through the lens of a director.
Think about a movie director. How does
he look at the thing he's creating? Get
the players involved. the resources, the
set designs, the actors. He's designing
the world that that movie gets played
in. Your business is no different. And
being a director is how we compete in
the new world. The third shift I see
coming is going from feature-based modes
to database modes. A moat essentially
protects you. Think of a castle in the
middle of a field. It's got a moat
around it because it needs to protect
itself from the bad guys coming in to
try to take the castle. Just like the
water around the castle is your moat,
the future is data. In the old world,
you would compete on features. You would
launch something, your competitor would
have three to six months to copy you,
and that was the rat race that you got
stuck into. The future, since the AI can
actually build the features faster than
you could ever think of them, is that
the proprietary data of how you do your
business or what you collect about your
customer and using that to inform the
AI, to learn faster, to create feedback
loops. That is the competitive
advantage. It's not about what you
deliver the features. It's about how you
deliver it so that your customer can
trust that you're the innovator in the
space. I don't know if you've noticed
this, but chat GBT5 gets better the more
you use it. What it's realized is that
if we collect the information, the
memory, the preferences of the person
who's chatting with it and use that as
an injection to the future prompts, the
outputs are so freaking good. Your
business needs to do the same thing. As
customers interact with you, you need to
collect those preferences. You have to
save them. For example, my buddy Matt,
he built a whole company around this.
It's called precision.co. And what you
do is you plug in your different data
sets, your Stripe account, your
marketing, your CRM, your sales data,
and then it looks at your data plus the
benchmarks in your industry, makes a
list of priorities based on the theory
of constraints, and then tells you
exactly what projects to go execute with
your team to unlock the bottlenecks in
your business. It's changing everything
in regards to intelligent business
analysis. So this is exactly how you
build a database moat in three steps.
The first one is you have to clean up
all your data. Essentially garbage in
garbage out. If you don't sit down and
start making sure that all your customer
data is clean, there's no duplicates,
it's accurate, then you can't feed that
to the AI. The worst thing is having no
data. The second worst thing is having
bad data. Next, you have to use AI to
analyze your data and make correlations.
In one of my companies, I have a process
where people submit an intake form to
then drive the experience for the
customer. So, we take all the data they
gave us to design a custom onboarding
experience based on what they told us,
based on who they are, based on all the
public data, so that when they come in,
they think, "Oh my gosh, how did they do
this so quick?" AI. And last, but not
least, you have to have AI suggest next
steps you should take in your business
to fix the current bottleneck. The cool
part about what I'm sharing with you is
you can use AI to analyze your situation
to figure out what you need to work on
to tell you what are the next steps for
you to build a data mode around your
business. Real datadriven decisions is
how you compete in the world. In a world
where information is literally a
commodity and never more so than now,
the ultimate advantage is data. Shift
number four, the autonomous back office.
In the old world, you had finance and HR
and legal as full-time positions. In the
new world, they're AI. They're literally
policydriven agents that take the
requests, execute the work, close the
loop, reply to everybody on your team
with no bottlenecks. In the past, when I
sent a contract over to my legal
department, I had to wait until that
person had the time to review it to give
me the red lines. Now, I have an AI
agent that does it for me in real time.
If you want to do this for yourself, and
we can use finance as an example, it's
pretty simple. First, you got to connect
all your financial data as much context
as you can give the AI so that it knows
about your situation. So, there's a tool
like HelloFrank.AI that's a financial
analysis where you just connect your
financial systems and all tools and it
will do all this heavy lifting for you.
So, you don't need to know how to write
the system prompts and then it runs in
the background monitoring, auditing,
giving you reports in real time. And
then next, you have to let leaders audit
for exceptions. So, it's not that the AI
will do it automatically and nobody
checks it. is that it'll do 98% of it
and then leaders still look at it to
troubleshoot it to make sure it didn't
hallucinate because AI will do that and
then everything else closes itself. So
here's a quick hack for you to like
implement this into your business today.
You need to use some kind of automation
tool like make or zap year or something
like that but essentially you codify the
rules within your business. So, if it's
HR and recruiting, write down all the
rules about what the person needs to
look like and how you should hire them
and all the processes and you do that as
a system prompt. I actually have a
complete training on how you can do
that. I'll link it below in description.
That's my chat GPT master class that
goes into this and a bunch of other cool
things. The way I think about it is
this. Exceptions deserve people.
Patterns deserve code. Repeatable,
scalable systems. The last shift I see
coming is going from development
advantage to distribution advantage.
See, the old world was about building
the biggest development teams, the
smartest people, coding stuff. Today,
it's about distribution. The doing of
the business is no longer hard. You're
like, "Oh, I've got 17 years experience
in this industry." Nobody gives a Well,
I know how to code really advanced
algorithms. Nobody gives a All of these
things are now done by 12-year-olds [clears throat]
[clears throat]
using AI. The other day I saw an ad by a
product called Lovable where it had a
kid in the ad build an app and deploy it
and start monetizing it. It took
everything, the database, the interface,
the whole workflow and logic.
>> I guess I'm an engineer now. >> Sure.
>> Sure.
>> And the cool part is he built it all
through voice. He talked it. He didn't
type anything. See, AI is the first
technology that's coded in English,
which makes it available to every human
on Earth. That is completely different.
It's why I built Martell Ventures on the
back of my personal brand. See, I've
partnered to build AI tools with some of
the smartest CEOs in my network and
launch them through audiences like
YouTube, my email list, my online
community, and other partners all around
the world. See, these tools are
worldclass. They're the best of the
best. It's what I use inside my
companies. But what really moves the
valuation of those business is access to
distribution. people buying eyeballs on
those tools, not the code. This is a
three-step example of how I do this
myself at Martell Ventures that you can
copy and paste. First, we need to build
distribution into the business model.
Just pick a lane. I don't care if it's
organic content, ads, partnerships, but
you got to grow one own channel, you
know, email, SMS, community every
freaking week. Next, we have to attach a
brand to a clear problem. If you don't
identify the ideal customer profile,
their specific pain and make a massive
clear promise essentially like in 72
hours you'll get X result then the
person doesn't know how you can help
them. So you have to make your story
about the outcome, not the features. And
the last is you got to pre-ell the tool
before you stop and invest a ton of
money and time into getting the product
live. you can actually pre-ell it to the
customers that you want to talk to. That
process that seems hard, well, how do I
get in front of them is the problem you
got to solve if you have the product.
So, just flip it. Start by pre-elling it
even if it's not ready so that you can
get the revenue to fund the development.
This is how crowdfunding has worked.
It's literally a multi-billion dollar
market. This is how a lot of companies
you use today started by going and
getting the customer commitments then
delivering on the product and it
actually derisk the business so that
it's a better business model and it's
why I do it every time. Now if you want
to hack the best way to get distribution
is to find somebody a partner that
already has that audience built in.
Think about it. They could have spent
the last 10 years building their email
list, their brand, their audience, their
social media, and you come in with a
great product or service and you partner
with them and give them a piece of that
revenue for them to promote it to their
audience. Think of every online creator
right now that does brand deals. They've
built the audience, they do a brand deal
with a product, they promote the
product, the brand wins, the creator
wins. Just do it for yourself. If you
don't have a brand, invest there first.
But if you have a product, go find
somebody with a brand and partner with
them. Here's the deal. When anyone can
build, the edge is who can reach. If
you're skeptical, you don't think you're
technical, you think this is beyond your
means, I get it. If you're worried about
replacing people that you've had on your
team for a long time that you really
care about, I get that, too. See, I
don't think it's about removing parts of
a job that somebody is doing or removing
people. I think it's getting rid of they
don't want to do. When I think about
what AI is going to have a hard time
disrupting, things like vision, taste,
what's good, caring about people, if
anything, these tools are going to give
us the time to focus on the things that
it can't disrupt. The humanity of it
that's going to allow your team to feel
like artists and creators and get more
done and make more money. And
unfortunately, if you decide not to do
it, somebody will do it to you. So don't
sit on this. See, AI won't take your
job, but somebody using AI will. As a
reminder, if you want my internal copy
of how I've implemented AI into every
business to get massive results,
revenue, productivity, decrease the
amount of time it takes to deploy
results in your business, click the link
below. It's the first link in the
description and I'll send it over. It's
short, concise, and it's going to get
you wins right away. Now, if you want to
learn how to get ahead of 99% of the
people using AI, like I said, it's a
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