My First Million - 10 AI Business Ideas in 43 Minutes
Episode Date: October 12, 2023Episode 506: Shaan Puri (https://twitter.com/ShaanVP) is coming at you with 10 AI-specific business ideas that he would invest in tomorrow if they existed. Want to see more MFM? Subscribe to our Yo...uTube channel here. Want MFM Merch? Check out our store here. Want to see the best clips from MFM? Subscribe to our clips channel here. — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com/ Check Out Shaan's Stuff: • Try Shepherd Out - https://www.supportshepherd.com/ • Shaan's Personal Assistant System - http://shaanpuri.com/remoteassistant • Power Writing Course - https://maven.com/generalist/writing • Small Boy Newsletter - https://smallboy.co/ • Daily Newsletter - https://www.shaanpuri.com/ — Show Notes: (0:00) Intro (5:00) 10 - AI Sales Agent (10:00) 9 - Therapy for everyone, everywhere (13:00) 8 - Robots that automate warehousing (15:00) 7 - McKinsey for AI (19:00) 6 - Licensable deepfakes (22:00) 5 - Celebrity deepfake monitoring (24:00) 4 - AI Tutor (26:00) 3 - Call center accent customization (28:00) 2 - AI Porn (31:00) 1 - Self-doing to-do list — Links: • Episode 94 - Is GPT-3 the Next Big Thing - https://tinyurl.com/37wfyphx • Sameday - https://www.gosameday.com/ • Hims - https://www.hims.com/ • Amazon Robotics - https://tinyurl.com/5fu22r8x • LaunchDarkly - https://launchdarkly.com/ • Invideo AI - https://invideo.io/ • OpenAI - https://openai.com/ Past guests on My First Million include Rob Dyrdek, Hasan Minhaj, Balaji Srinivasan, Jake Paul, Dr. Andrew Huberman, Gary Vee, Lance Armstrong, Sophia Amoruso, Ariel Helwani, Ramit Sethi, Stanley Druckenmiller, Peter Diamandis, Dharmesh Shah, Brian Halligan, Marc Lore, Jason Calacanis, Andrew Wilkinson, Julian Shapiro, Kat Cole, Codie Sanchez, Nader Al-Naji, Steph Smith, Trung Phan, Nick Huber, Anthony Pompliano, Ben Askren, Ramon Van Meer, Brianne Kimmel, Andrew Gazdecki, Scott Belsky, Moiz Ali, Dan Held, Elaine Zelby, Michael Saylor, Ryan Begelman, Jack Butcher, Reed Duchscher, Tai Lopez, Harley Finkelstein, Alexa von Tobel, Noah Kagan, Nick Bare, Greg Isenberg, James Altucher, Randy Hetrick and more. — Other episodes you might enjoy: • #224 Rob Dyrdek - How Tracking Every Second of His Life Took Rob Drydek from 0 to $405M in Exits • #209 Gary Vaynerchuk - Why NFTS Are the Future • #178 Balaji Srinivasan - Balaji on How to Fix the Media, Cloud Cities & Crypto • #169 - How One Man Started 5, Billion Dollar Companies, Dan Gilbert's Empire, & Talking With Warren Buffett • #218 - Why You Should Take a Think Week Like Bill Gates • Dave Portnoy vs The World, Extreme Body Monitoring, The Future of Apparel Retail, "How Much is Anthony Pompliano Worth?", and More • How Mr Beast Got 100M Views in Less Than 4 Days, The $25M Chrome Extension, and More
Transcript
Discussion (0)
All right, I'm setting my timer.
I'm going to give myself 31 minutes to give you 10 specific AI business ideas.
I feel like I can rule the world.
I know I could be what I want to.
I put my all in it like no days off on a road.
You know, I'm doing this because I see a lot of stuff on YouTube that's like, hey,
AI's the next big thing.
And then they're like, you're like, okay, what? How?
For me?
What should I do with it?
And there's no answers.
Or AI is going to kill us all.
Like, really?
shit, how?
Like, we don't know.
So I just don't like the
the just general
enthusiasm without the specifics.
And so this is all about the specifics.
And I think I'm well qualified to do this because I've,
my whole life I've been an entrepreneur.
And I've been an idea guy.
I ran an idea lab where I was basically funded
to just come up with business ideas and then build them
for six years.
I then have a podcast now.
This podcast is all about business ideas.
I've also invested in the last year,
maybe $2 million into AI companies.
So I've about a dozen companies that I said yes to plus probably another hundred or so that we passed on.
So I've seen a bunch in this AI space.
I know what the best entrepreneurs in Silicon Valley are doing.
That's why I live.
And so I wanted to share with you my list from number 10 to number one, number one being the best, the biggest opportunity that I see in the space that if I wasn't just chilling out, rich and happy and being a dad, I would go and jump in and do these right away.
And instead, I'm going to invest from the side.
I hope somebody takes an idea from this list and just goes and does it.
But before I tell you the ideas, a quick little history lesson, a quick little trip down
memory lane, a little I told you so.
Three years ago, on this exact podcast, I did an episode called Is GPT the Next Big Thing?
I think it was like episode 94.
We're on like 500 now.
And this was back in July of 2020.
So it's like COVID had just hit.
People are freaking out.
But me and Sam got on this podcast and we said, is GPT3 the next big thing?
We had gotten access to this tool that there was no.
chat GPT at the time. You had to like get a favor from somebody to even be able to try it.
And we used it to write rap lyrics, which is of course being idiots that we are. We thought,
oh, that's the best thing we can do with artificial intelligence. And so we, well, we thought
it was amazing. We were like, wow, this is really good. And we, the episode is GPD the next week
thing. We were basically saying, yeah, it will be. Now, that's 2020. Fast forward today. Open AI is worth
$90 billion. They're doing a billion dollars a year. Chat GPD is the fastest growing product in
history to hit 100 million users.
You know, so I'm not saying that we called it.
I'm not saying that we're business geniuses.
We kind of did and we kind of are.
So, you know, if you listen to me then, you probably could have made a bunch
money.
Listen to me now because I got for today, I'm going to share with you 10 specific AI
business ideas ranging from simple, doable things for somebody who's
non-technical, all the way to like moonshot, really big
ideas that I think are game-changing. And so I'm going to read you the list from number 10 to number
one. They include things from about, you know, robotics and therapy and celebrities and education
to porn to I got everything. And the last one, the very last one, I think is the biggest idea
that exists today. So the biggest, I think it is the biggest opportunity that exists today for
any entrepreneur, you know, like when you think about Mark Zuckerberg, stumbling into sort of like
the social networking craze, or, you know, when Steve Jobs created the iPhone, that changed everything,
there are these sort of change everything moments. And like, you know, I was a kid when the internet
came out. I'm 35 years old now. So I was, you know, I remember being on the internet as like a 12 or 13 year
old using like, you know, whatever, very basic dial up connections and BBS forums and stuff like
that. But it was clear to me that the internet was a thing. It's just I was a kid. So I didn't
think about how I could bend it. I just wanted to use it. I didn't think about I wasn't an
entrepreneur. I was a teenager, right? I couldn't even spell entrepreneur. Still can't.
But then when I graduated from college, I graduated in 2010. The iPhone had come out,
the year before I think the app store had come out. But I wasn't, I didn't have the light bulb on.
I didn't really understand that there are a few times. I think what's that Warren Buffett
quote? He's like, um, something.
something like there are moments, there are moments every once in a while where their skies get cloudy and it begins to rain opportunity.
And when it does, let us not run out with spoons, but with bathtubs to, you know, to catch the opportunity.
So I didn't really realize when mobile was the big opportunity.
It was right in front of my nose, right?
Like we were working on things.
And we had a mobile developer, one guy.
And we would, you know, we would, we would try to make a mobile version of our website.
But we didn't realize, yo, mobile's changing every.
And all of a sudden, you know, this thing's got a GPS.
That means that Uber is possible.
Google Maps is possible.
This has a camera.
So that means that Snapchat and Instagram are now possible.
You know, I'm carrying this with me everywhere.
So all of a sudden, WhatsApp is possible.
You know, this thing has an accelerometer inside.
That means that my fitness pal is possible, right?
So the technology unlocks the opportunity.
So now to my specific list of 10 ideas that I think anybody could do.
And by the way, here's my disclaimer.
These specific ideas don't matter.
I know I'm hyping him up a little bit, but it's not the ideas that matter.
Naval has this great quote where he says, you know, you don't read books for the information.
You read books because books spark ideas in your head, right?
Reading a great book is like, you know, lighting a match or starting a bonfire in your brain.
And so that's my goal.
I want to start a little bonfire in your brain.
I want these ideas to help you get to the real ideas.
I don't think that these are necessarily going to be the ones,
but I hope that they really stimulate you to think.
Okay, so let's jump in.
Number 10, eliminate the weight.
Okay, so we think of the internet as this fast place,
a place where you can just click and you instantly get what you want.
But that's true.
Like the internet, if you just compare normal business,
I used to have to drive, go to my car, drive to a store, park, get out, walk in
if I wanted to buy something.
And now the internet, I don't have to do any of that shit.
I just website, click.
boom, it'll be here in two days, right? That's kind of amazing. So the internet has killed waiting
in a bunch of different ways, and that's generated billions and billions and billions of dollars of
value. But all waiting is not gone. There's still some waiting left. I want to tell you about it.
So like, for example, this is one of my companies is called Shepard, right? I'm a minority owner of
Shepard. I bought a minority stake earlier this year. They do a very simple thing. So they find you
employees overseas that will cost you 80% less than if you're hiring in the U.S. They're like
recruiters that will find the best talent in the Philippines or Latam that just solves whatever
problem you have. Okay, great. So now when somebody comes to this website, and this business works,
right? It makes millions of dollars a year, but it also loses, I believe, millions of dollars
year because of one very simple problem, which is that when you click start hiring here,
it's going to tell you to book a call. It says, great, tell us some information. And then when you
do, once you fill this in, you know, you fill in a small form, as soon as you do that,
then it's going to tell you to book a call.
And that book of calls might be two days from now, three days from now, four days from now.
By then you're cooled off, right?
Like, you know, you've lost, any salesperson knows that, like, you need to strike while
the iron taught.
You're going to have the highest conversion rate in that moment.
So let me show you what an AI company is doing that I think is very smart.
This is called some company called Same Day.
I'm not involved in this at all.
I just think it's a very cool idea.
So they're like, hey, what if we just had a phone agent and
an AI phone agent that could just reply to anybody who calls you right away. So, uh, listen to this.
How can I help you today? Yeah, I got a call from my wife a minute ago. She said there's a bunch
of ants coming through our kitchen window. How soon can you guys come out? That's the worst. Luckily,
I can probably have someone out as soon as tomorrow to take care of those ants. Can I get your
address to confirm? Yeah, it's, uh, but can you transfer you to a person? Yeah, I can transfer you to a person.
but you'll be on hold for about nine minutes.
Now, I can answer any questions and get you scheduled in under two.
How does that sound, Aaron?
That sounds good, but what's it going to cost?
Oh, of course.
I just need to know.
You get the idea.
I think it's funny they made them have a accent.
But, you know, instead of I'm interested and then three-day gap,
now we get on a Zoom call, and you're trying to remember the context,
and then we fumble and bubble.
How about right when I say I'm interested,
AI sales agent is going to call me or create a voice call right here on the browser
and ask the questions that it needs to do to qualify me as a potential customer as well as
answer the questions that you have and even give you a sales pitch right you might look at
that and be like oh you know that it's a little slow the way it talks or it's not as good as a
human and I would tell you two things number one that the conversion rate in the moment the
versus the drop off of people not not bouncing because they don't want to book a call or
not showing up to the call.
Like the showup rate
might be 65% to a call.
You know, you get these huge drop-offs
for every step of every additional step
in the funnel.
So you want to just remove steps
in any funnel.
So I believe that AI sales agent
will be higher converting
than doing it
the sort of slower human way.
And the second thing is,
this is V1.
Imagine, you know,
like you remember the V1 of anything,
the brick cell phones or the V1
of the iPhone compared to what we have
now on iPhone 15.
just wait two years. This is going to be incredible. And it's already good enough to
make up for the fact that, you know, you know how many businesses don't even have a phone
number or don't answer the phone when you call them? Like every pest control service or
lawn care service or self-storage facility or whatever, you name it. You can go and become
the AI phone sales guy for every business on the internet. I think that's one opportunity
that's there for the taking is forget this whole idea of, you know,
call me, I'll call you back, or book a call in a few days and we'll talk.
It's, no, no, no, it's going to be.
We'll talk right now with my highly trained sales agent who always sticks to the script,
is always polite, never gets frustrated, never gets sick, never takes a day off.
That's what's going to happen here.
That's where this is going.
Okay, idea number nine.
Therapy for everybody.
So therapy used to be pretty taboo, and every year it's becoming less and less so.
Every year, more and more people are going to therapy, and there are multiple
billion dollar therapy startups that just connect you with a therapist. However, that's still
only a fraction of the opportunity. How do you make this a hundred times more accessible? Right?
Like, I think most people could probably benefit from having somebody to talk to,
having somebody who's there for them, supportive, ask good questions, gives good advice.
That seems like something that's going to help every couple, every individual person,
every executive, et cetera. And the biggest barrier to this is now is cost,
and sort of like the friction or privacy that's involved.
It's almost like, remember how hymns came out and they were like, you know what,
erectile dysfunction is a big deal.
It's a big problem.
But people don't want to go to the doctor, admit this to another person, and then have
to go to a pharmacy and say, hey, can I get my pills, please?
Instead, what if it was, you could just telemedicine, you could just get diagnosed online,
get the prescription really quickly from the comfort of your own home without going anywhere.
And then we'll deliver it to your doorstep in very discreet packaging.
And there you go.
And Hymns and Road did this and built billion-dollar companies just on that one way of increasing access.
Well, I think for therapy, you've got to do too.
I think you've got to decrease the cost and increase the privacy.
So solution.
Put an AI therapist in everyone's pocket.
You train it on 100 million hours of therapy, you know, transcripts and conversations that exist or could exist.
And you provide the service to everybody, even people who can't afford $100 an hour therapist or $200 an hour therapist or $200 an hour.
our therapist, you know, you drop the cost of that by 100x. So how do I get this for $10 a month
or $5 a month? That's the big opportunity. And how do I, in doing so, you would 100x the number
of people that get this benefit, right? It's a win-win. And, you know, I don't know the exact
specifics. Like, you know, you may need, it's going to take some time to train this to be good.
There may be some things like, you know, the difference between creating drugs or a supplement,
like you have to get, you have to do like either clinical trials and get FDA approval or, you
you just create a vitamin and you can like sell that online tomorrow. You know, it might have to be
framed less medically and more like a life coach. I'm not sure. But the idea of providing therapy
for everybody is a big idea. Number eight, robots that automate warehousing. So I for my
e-commerce business was running a warehouse for, I don't know, a year, year and a half. We had a, I don't
know, 10,000 or 15,000 square foot facility here in California and we had 10, 20 people there.
absolute pain in the ass for everybody nobody liked it they didn't like working there we didn't like
having people there we didn't like running the thing it was slow it was expensive it was bad in like
pretty much every single way and then you look at amazon and amazon has invested billions of
dollars i've read anything from 10 billion dollars all the way up to 100 as an estimate of how much
they've invested in r&D around their warehouse automation uh back in the mid 2000s they bought a company
for almost a billion dollars kiva i think kiva systems and those are those little sleds you can
see these insane videos online. The sled basically like goes into the warehouse, finds the set of
boxes that somebody ordered something from, picks it up, drives back. And these are all,
like there's hundreds of these going at once and they're all like part of one big brain.
So they know how to never bump into each other. And so they then they drive all the way up
to a human who's sitting in a chair who just pulls the item out of the box, puts it in the package.
And that's, you know, what the Amazon product is. And this is a perfect example of my export framework.
So my export business framework is basically it's a way to generate business ideas, which is you look at any big company and you see what did they spend millions of dollars building a home brew solution for, something that works for them and made their life better.
And then can you export that idea as a product that any company could use without having to spend the money on the R&D?
Tons of examples of this.
Simple one.
Launchedarkly.
Billion dollar company now, they were working at Facebook.
Facebook had a feature that they had built in turn.
product they had built internally, spent a bunch of engineering resources building, which was a way
to launch new features under feature flags, meaning you launch a feature, it's in the app, but you can
turn it on for 5% of the population. If it's bug-free, then you can turn it on for 25% of the population.
Or if it starts to have a bug, you can turn it off quickly, remotely from your server.
So the idea of feature flags, they productized that took it out there and said, hey, the thing that
Facebook uses for their app, you should use in your app. And of course, it works. So I think
somebody's going to do that here with Amazon's warehouse technology. I'll just give you a crazy
stat. This stat is the business plan for this business, right? I talk about this idea of one chart
businesses, one stat businesses. It's a single stat that basically encapsulates the entire opportunity,
which is that today, 2% of all warehouses use robotics. Right. So 2% of all fulfillment warehouses are
using robots today. That number's going very close to 100%. And so just the shift from what's going to
take it from 2% to 100%.
You could just sit down and brainstorm.
What does that going to take?
Is it new robotics technology?
Is it better sales, you know,
better sales and development process?
Is it consulting practice?
What are the different ways you could take that number from 2 to 100?
I think that's just one big opportunity.
All right.
Number seven.
Similar to what I just said, consulting.
McKinsey for AI.
So technologies come, but they don't,
it's not evenly distributed.
It doesn't just get everywhere all at once, right?
there's still like, I don't know, four million people would dial up internet using AOL.
We get online right now in the United States.
And so it takes time for these technologies to sort of propagate through the community, through the population.
And so AI does all this amazing stuff.
It can help businesses become more efficient, more smart, more intelligent, serve their customers better.
But it's not just going to like appear overnight in every company at all, no way.
And so I think somebody can build a killer combo of conferences, content,
and consulting, the three Cs, package those together and build something.
So here's what I would do.
If I'm working at McKinsey, right, I'm one of these fancy pants, smart people who gets a job
at McKinsey, and you have two choices.
You're either going to grind the McKinsey ladder for like the next, I don't know, five to
10 years with the end goal of maybe becoming a partner someday and making a million bucks a year.
Or door number two, quit your job tomorrow and launch a AI-specific consulting
practice that is going to identify one type of customer.
Maybe it's mid-market industrial companies or its law firms or dental practices or
whatever and identify AI market fit.
So identify one AI tool or process that would help one type of customer and start there,
start consulting there.
You can build a multimillion dollar service business from there and stack more and more.
And basically in the same 10 years, instead of just grinding it out at McKinsey,
just spend five years doing this on.
building the AI consulting company and sell it back to McKinsey for a hundred or a thousand X
the payout.
You know,
I believe that there's going to be billion dollar consulting companies that are specifically
just about AI that the big consulting companies, Deloitte, Pw CWC, McKenzie, etc.
They're going to need to buy.
They're going to acquire practices that do this.
And so I think if you have the chops to do it, conferences, content, and consulting,
I think a combo of those three would work.
And specifically around conferences, what I don't mean is what I think everybody wants to do is create the AI conference.
That's cool.
Somebody's going to do that, but that's also very crowded.
Instead, I think the easier opportunity is to create the AI for X conference.
So, AI for healthcare conference.
Hey, healthcare, you have a healthcare company.
We have a conference that specifically about marrying the best AI companies and startups and experts to health care companies like,
you and seeing how you guys are going to be using AI in the next three years in order to
build a better company. And I think you could do that with every niche, every industry,
every industry could have this. So you could do this in healthcare. You could do this in
whatever. You can do this in farming. You can do this in any industry, any vertical industry,
you could create conferences around that. So I think that's separately just a good idea.
All right. Next one. Cameo. Okay. So Cameo was this app that,
got really popular because it lets you buy shoutouts and greetings from celebrities. Great.
But if we just step back for a second, like influencers and celebrities make money off their name,
their face, their voice, all that. And today, if they want to do that, they have to cut these deals
with companies. They have to agree, hey, you're going to have to fly out to Tucson and we're going to
film this commercial and you're going to be here on set all day. You have to read these lines. And it's a pain
in the ass. And that's why you have to charge a bunch of money for it.
Well, now that AI's here, we have something called deep fake technology,
which basically means you can make a fake video of anyone's face.
You've probably seen the deep fake Tom Cruise,
or you've seen the deep fake music video that was made
where the guy's shape, face was shifting from one celebrity to the next.
Indiana Jones, I think, used deep fake tech to have, like, the young Indiana
versus the old Harrison Ford, Harrison Ford, Indiana Jones.
Deep fakes are getting really, really good.
good. And so this is an opportunity. Now, here's the problem. Here's where everyone gets it wrong.
People think, entrepreneurs think, I talked to a lot of startups that do this. They're pitching me for
investment and they're like, we're going to make this deep fake tech. It's going to be great. It's not a
tech problem really right now. It's actually a rights problem. So what somebody needs to do,
the move here is not to go all in on product, but to go all in on biz dev, which is a total
narrative violation. Nobody says, hey, go all in on business. But that's what you need to do for this
business. What you've got to do is create some sort of digital likeness license. You need to go
to athletes and celebrities. Everybody CAA represents and WME. You got to go to them and you got to
partner with them and basically say, hey, I'd like to sign up to be your rights provider,
rights holder and provider and licensing technology for you. So that any time a brand comes and wants
to use your name and face and voice, they can do so. And you can get paid for it. They can have the
official training data for you.
They can have your signature and your rights
that's saying you're allowed to use my face
and my voice to do this.
And then after you have the rights, once you,
and this is beautiful, by the way, because
we all know in businesses, the value of a business
is in the defensibility.
And the defensibility here is not the technology.
It's the rights ownership.
So if you can go lock up the rights, there's a land grab right now.
If you can go lock up the rights to the right names
and faces and voices,
and you own that, right?
you either license it from them and then you sub-license it out or you create the product that they
use to manage their rights and licenses, you have a moat because there's people only want celebrities
celebrities to do this. And so whoever gets them first wins. And after that, you can either buy
technology, partner with technology, do whatever you want to actually deliver this deep fake stuff.
And so, you know, in the future, when LeBron James does a McDonald's commercial, he's not going to have
to go fly to Georgia and film that commercial. They're just going to
put in an API request, pay the money, get the license to his face, his voice, his whatever,
then they're going to be able to script it. He's going to be able to sign off for approval. That's
it. Like, that's how the whole process is going to go. He's going to make more money with less time.
That's where that's going. So idea number five is the opposite of that, the anti-camio. So I was on
TikTok yesterday, and I saw this video of Mr. Beast giving away iPhones. Now, your boy's not a dummy.
so I know he's not actually doing that.
This was a deep fake.
But a lot of people didn't know that.
They were clicking on it.
And in fact, Mr. Bees tweeted this out.
I was like, hey, a lot of people are seeing this and this is effed up.
How can I get rid of this?
Like, how do I stop this?
This is terrible.
You're using my face in ways that I definitely don't want.
Similarly, I saw, you know, Taylor Swift is all the rage right now because she's dating
Travis Kelsey.
Somebody used Midjourney or one of the AI image tools to make photos of
Taylor Swift like smoking weed or whatever.
Like they put her in a bunch of compromising situations that you wouldn't want to be in.
She doesn't want to be in.
That's bad for her brand.
But now it's easy for anybody to just deep fake that.
And so you need an anti-camio.
So protection.
So the takedown and protection and detection and monitoring service for all these
celebrities to say, hey, we are scouring the web to make sure your face is not showing up in
deep fake porn or in ads that you're not actually endorsing.
and things like that, that's going to become a no-brainer business.
It's a consequence of how good this technology is.
And by the way, for all my crypto haters out there,
this is a great blockchain use case.
There's a company doing this that basically what they do is they say,
yeah, we're going to basically let you create everyone who is a celebrity or whatever,
anybody, any company, you have a private key.
And so anytime there's media out there,
you can sign the media with your private keys that only you have controlled.
to say, yes, this is real.
I actually said this.
I actually vouched for this.
I actually created this.
I actually endorsed this.
And what's going to happen is that in the future,
media that doesn't have that digital signature
is going to be seen as untrustworthy.
And so what they did with the blockchain was very smart
was they let anybody create their keys,
their digital signature,
so that they can sign off on these
and have it encoded that, yes,
I indeed did say this, do say this,
I endorsed this, I allowed for this.
So that's going to be a big deal.
All right.
Number four, AI tutors.
So education is obviously a big space.
How amazing would it be if everybody had their own AI tutor?
So everybody had a patient, infinitely intelligent tutor who's going to let them just take a picture
of the problem that you're trying to solve.
You can ask me to explain it.
You can ask me for more examples.
You can ask me to go slower.
You can ask me to go faster.
you can, the tutor can quiz you after they've explained it to you once to make sure that you understand the concept.
The tutor can draw diagrams. The tutor can animate diagrams faster than any human tutor could, better than anyone could on a chalkboard.
And ultimately, they can keep track of what you have mastery on and where you need work.
And it can kind of customize a curriculum that fits you versus just you going by the book of whatever the herd is trying to learn right now.
And so I think an amazing thing that's going to happen is that we're going to get these AI tutors that are really going to help, you know, help teach you.
And I think this is one of the big use cases of Chad GPT today is like sort of like homework shortcuts.
But I think part of those shortcuts are going to be not just do it for you, but explain it.
Explain it to me if I want to learn.
And so you're not going to be able to force people to learn.
But for the people who do want to learn, I think an AI tutor is going to be kind of a game changer.
I know for me, I used to love watching Khan Academy videos anytime I had a question because Sal Conn,
is just an amazing teacher.
He could teach millions of people
because he's patient, he's clear,
he has a very good little drawing setup.
This is what's going to happen with AI.
We're going to have salcons for all of us,
some that are funny, some that are good at math,
some that are good at really slow explanations,
some of that are very advanced and very,
you keep you on your toes.
You're going to have different AI tutors to choose from.
Okay, number three, call center accent changes.
This is a fun one.
So a lot of customer service help,
we know is offshore. It's cheaper. That's why businesses do it. However, there's one big cost
that. People get enrage when you call, you know, you're calling Dell for help and, uh, you know,
all of a sudden, you're getting Arjun in India who says, hey, it's Arjun from Dell and he's got the
accent and he doesn't quite understand what you're saying. The connection isn't great. Blah, blah,
blah, blah. Well, there's companies right now that are doing AI accent removal. So what they're doing is
they, the guy, Arjun's in India, but when he talks, he sounds like Adam and
you know, California.
Because on the fly, they're able to adjust using AI, his voice, so that he doesn't have the accent.
And so think about it.
If you're a company, would you not pay an extra, whatever, 5%, 10% to be able to remove accents
from all of your customer support people so that, you know, you have higher NPS, higher customer
service scores and less issues and complaints, of course.
Of course you will.
And so now you multiply that across a very big industry of customer support.
And that's one really specific way that you take this technology unlock of being able to imitate anyone's voice and you apply it in a business context.
So number two, I had to do it.
I had to do it.
You know me.
I'm the guy who's been telling you that OnlyFans is going to be a big business for years now.
AI porn, aka the fantasy factory.
So porn is one of the biggest markets in the world.
Historically, porn has been an early adopter of new technology.
So video streaming, you know, early on was used for porn.
Online payments early on was used for porn.
And so porn has been an early adopter of many new technologies.
And I think there's a big benefit for AI porn.
So first, I think on the consumer side, you're going to have on the demand side,
you have infinite personalization to your taste.
Like, have you ever gone to a porn site and seen how many categories there are?
There's like a trillion categories.
Why?
Because there's a trillion fantasies that people have that they're looking for.
And, you know, what, whatever, however number categories they have,
there's probably actually room for 100 times more, right?
Because that's just what they're able to service.
That's not actually the limitations of what people want or what they're interested in.
And so infinite personalization is the first thing.
So what exactly is your thing?
We can provide that to you.
That's going to beat out somebody else who just,
says, here's what I have. Do you like it? Right? So it's like the difference between, you know,
going to Blockbuster back in the day and seeing 25 movies on the shelf versus Netflix or Amazon,
which have an infinite shelf. It's a difference between, you know, watching, you know, one
episode of America's Funniest Home Videos versus opening up TikTok anytime you want,
swiping, getting personalized entertainment, bite-sized entertainment for you in an infinite
for an infinite scroll. Right? Like one is a lot more powerful and, and, uh,
and will satisfy demand much better.
Okay, then the supply side.
AI porn, I believe, is more ethical.
So, you know, just like the way we have plant-based proteins
and cruelty-free makeup and vegan leather,
no humans are going to be harmed in the production of this video, right?
Like, I think that the idea that we could satisfy the demand for porn
without subjecting people to the lifestyle of being a porn professional is,
is that what they call them so porn for porn?
I like how they don't call them so porn professional, porn stars.
I like that.
I'm a business star, not an entrepreneur.
Yeah, so I think that's going to happen.
And I think for the companies, you drop your cogs down, right?
So, like, you don't have to worry about all the take down notices and copyright issues and lawsuits that you're going to have that you have from people uploading stolen works or having to share revenue with all the production companies.
It's just going to drop down to whatever the cost is of the GPU to create the.
thing, right? That's what it's going to drop down to. And so I believe, you know, if you ever
want to go down a rabbit hole, go look up the company Mind Geek in Canada, they own all the porn sites.
It's a, you know, a multi, multi-billion dollar conglomerate, just spitting off tons and tons of
cash. Somebody's going to do, somebody's going to go after that market with AI. And I think
they will win because, again, way more powerful tool to satisfy demand, way lower cogs and
more ethical supply, that's a winning formula.
All right, now we're here, number one.
This is it.
This is the winner of my list, okay?
This is the number one biggest opportunity.
And I hate to be that guy that's like,
this is the biggest opportunity of our lifetimes, right?
Like, time share guy.
All the timeshare guys who are now YouTubers
selling the biggest next big thing.
But in this case, I think it's actually warranted.
I mean, AI is a big, freaking deal, right?
Like, you've got to be nuts to be denying that at this point.
And within AI, this is what I genuinely believe is the biggest opportunity.
So let me just rewind for a second.
If you think about the previous waves, I count four waves in my lifetime of giant sort of
inflections or opportunities, the sort of like the big gold rush moments, the huge tidal
waves that you could go surf as an entrepreneur.
So the first one was early internet, right?
And now you have what they used to call the information super highway.
If you remember that dorky phrase.
But it was right.
Information was the thing, the ability to find anything.
And there's really two big winners.
So Google and Amazon were the two biggest winners of the information, find anything paradigm.
And what you could do is, you know, Google let you go find any information and Amazon let you go find any stuff.
And those two created a trillion dollars, or more than a trillion dollars, almost two trillion dollars of value just on those two companies alone out of the information wave.
Second wave you then got was communication.
So it started with email, but then quickly became all social networking social media.
So Facebook, LinkedIn, Twitter, Snapchat, Pinterest, WhatsApp, YouTube, all of that, right?
So the ability for people to communicate with each other.
And this even extended, by the way, to, like, riders communicating with drivers, right?
And Uber basically the ability to say, I need a ride.
And somebody else says, I have a ride for you, right?
That connecting the dots, human coordination and communication was the big second wave.
And again, a trillion dollars plus of market value created out of that communication wave that came.
okay then what's come next
and then you had the value wave
and this was now we're talking
early 2010s up to
like basically the last decade
2010 to 2020 and this is
crypto so Bitcoin Ethereum
just those two alone are trillion dollars
of value that got created right
the best investment you could make
since the year I graduated 2010
would have been into Bitcoin and Ethereum
that is the best asset
that was created the best highest performer
and again so
we had digital information, then we had digital communication, then we had digital value.
And so, you know, the ability to have the digital money and digital value.
And so now what's the next one?
What's number four, right?
Coming into the 2020s, we're going from 2020 or 2030, what's going to be the next one?
I believe it's digital intelligence.
So that's AI.
Okay, so who's going to be the Bitcoin?
Who's going to be the Google?
Who's going to be the Facebook of the intelligence way?
Well, so far we've seen, you know, Nvidia make chips.
they've done extremely well.
We've seen Open AI become almost $100 billion company
by training these models that you can use for AI applications.
And I think those are great, but I think there's going to be more.
And the one that I think is missing is, you know,
I had two kind of that I was thinking about.
The first one was self-driving cars because I'm like,
okay, that's a, you know, driving is a huge part of human life.
And when that goes self-driving,
you're going to have safer, more efficient, more comfortable,
more entertainment, you're going to have a better ride experience, and that's going to obviously
change the way that cars work, right? Cars are parked 90% of the time, but when they're self-driving,
you're going to park your car and you're going to say, go make me money, car, and the car's
going to go drive around and be an Uber for people picking people up, right? It's just a game
changer in terms of how this works. We're going to need less cars, which means we need less
parking, which means we need different roads and city structures. There's a whole bunch of things
that can change. But as I was thinking about that, I thought about a bigger opportunity.
The bigger opportunity is actually related.
So I was like, oh, man, self-driving cars are going to be great because you just get in the car and you just say your destination.
And then the car is going to figure out all the things to do to get you to your goal.
So I just say, I'm trying to, hey, take me to Starbucks.
It's going to say, great, look up the nearest Starbucks, find the address, input the address to navigation, turn the car on, shift gears from park to drive, accelerate, stop at the stop sign, signal, turn, shift lanes, exit the highway, whatever, right?
All of the middle steps is going to curve.
create a list, it's going to do them. And what I realized was that's not going to stop at just
cars, that the biggest opportunity is the self-doing to-do list, just like we have the
self-driving car. And what's a self-doing to-do list? The self-doing to-do list is going to be,
well, all of our productivity today comes from basically the following system. A person thinks
about what they want, goal. Then they create a list of actions that they think will move them in
the direction of that goal, and then they do those actions. And the extent to which you hit your
goals is based on your ability to like know what you want, create the list of things you need to do
to get there, and then actually do the list. Well, I think what AI is going to do is actually
change how that works. It's actually going to let you just say what you want. AI will then
generate the list, and then it'll just do it. And so, and we've seen this, by the way, so what
this is called is, right now they're calling this agents. And agents might end up being the
information super highway, like a word that gets phased out over time. But here's the simple model.
We've all used chat GPT where you type something in and it gives you an answer. And the better question
you ask, the better answer it will give you. Or you have to know what to prompt it to do.
If you don't do anything, it's just going to sit there. It's going to do absolutely nothing
for you. Whereas there's a new model called AI agents. What AI agents are based on is that you don't
need to tell it, you don't need to ask it specific questions or give it specific instructions for a
task, all you need to do is tell the AI what you want as your goal. And what you want as your goal
is, let's just take an example. Hey, I run a e-commerce business and I want to reduce my inventory
waste. Okay, so I'm going to reduce my, I want to make my inventory more efficient. So the AI could
then generate a list of things to do. Analyze the inventory to find the highest fast movers and slow
movers and then it will take the slow movers and it will put them on sale. It will take the fast
movers and it will analyze what you're lacking, where there's more demand than you have supply in
stock. It'll create a purchase order, send the purchase order to the factory and get the next order
delivered for you. So you could see in theory how you'd be able to just say a goal and have the AI
create a list and then do it. Another silly example. Let's say I wanted to lose 15 pounds. Well,
we all know to lose 15 pounds, what you need to do is you need to, you know, burn more calories
than you're going to consume.
Well, in theory, AI is going to be able to help you do that.
So you're going to say, I want to lose weight, and it's going to say, great, we are going to take your current weight.
We're going to then create a calorie meal plan of how many calories you're supposed to intake per day
and how many you're supposed to burn per day, which are going to create a workout plan for you.
It's going to create a meal plan for you.
It's going to then take the meal plan.
It's going to create, break the down into recipes, break the recipes down into ingredients.
it's going to go on to Instagram.
It's going to order the ingredients to your house for you.
And, you know, there you go, right?
So it's going to take you as far as it can.
It's not going to be able to do every single thing in the real world until you have a robot sitting
in your house.
That's going to then take those groceries and it's going to prepare the meal for you, right?
Like Jetson style.
And we're talking about in the future.
But like, this is the future.
Like, I mean, dude, I used to have this.
I'm holding at my phone, like my cell phone right now that I can use to run my business to
entertain myself endlessly for hours to play video games to navigate all around the world.
Like I can pay for things on this.
I don't need my wallet.
It's insane, right?
This thing,
this thing is insane to 12 year old me.
And 12 year old me is not that long ago.
That's 20 years ago or whatever.
It's like 12 year old me would be mind blown because 12 year old me had just gotten their
first computer in their house.
We used to have a computer room.
There was a room in our house called the computer room.
And whoever wanted to use a computer had to go to the computer room.
And when you were in the computer room, then you got the internet through a
CD from AOL. And then when we had that, you used to have to pick and choose. Do you want to be
able to receive phone calls as a house or do you want to be on the internet? Because if somebody
picked up the phone when you were on the internet, you would like disconnect from the internet
and they would hear crazy internet sounds. Like you, it was insane. Like the way that we were when
I, when I started on the internet to what now holding my iPhone 15 Pro Max with, you know, wireless
internet while I'm driving or on an airplane is mind blowing. And so all I'm asking you do is just
sort of think 20 years in the future, the idea that we're going to have, you know, our Jetson's robot
in our house, and we're going to be able to tell our to-do list just what our wishes and dreams are,
and then it's going to create the list and do them. That's the big idea. That is the big idea.
That is the idea that is the idea that scares people, by the way, because, you know,
the thought experiment is someone says, hey, I want to maximize, you know, what's at the paperclip example,
I want to maximize the production of paper clips or sales for my paper clips.
And it's like, okay, great, the AI, it got your goal.
And it doesn't care what comes in the way, right?
It's going to start shredding cars to create scrap metal to produce more paper clips, right?
It will do anything to hit that goal.
And so that's the scary part about AI.
And now I'm not the guy to do the AI safety conversation and the AI ethics conversation.
That's not me.
I'm an idea guy.
I'm thinking about how technology can do really cool things that will improve people's lives.
And then of course, as we do them, we're going to need to put in guardrails and guidelines and be able to not, you know, crush all of civilization in the process.
But that's kind of a Debbie Downer. I'm not really looking to get into that conversation.
What I'm excited about is a future where work gets done for you.
That's what's going to come from the intelligence wave that's different than the value wave, the communication wave or the information wave.
The intelligence wave is going to do intelligent things.
It's going to use its brain for you, right?
It has got this right side of the AI brain that could do.
creative shit. It can draw. It can write. It can sing. It can make songs. It can wrap. It can do
anything. And then on the left side, it's got this like informational, analytical brain that can
you dump in a PDF and it'll summarize it for you in a second. It'll generate a P&L for your
business. It'll give you advice, strategic advice on your taxes, right? Like, it can do all these
things that are highly, let's say left brain. And so now we have this AI intelligence brain. And the
ideas that I came up with were just my first pass at what's going to come from this. I want to
hear what you're going to do. I mean, I'm investing in this space. If you're doing something cool,
reach out to me, Sean at Sean Puri.com. I want to hear what your ideas are. And I want to hear
what you think about these. Go in the YouTube comments and let me know because that's it.
Those are my ideas from 10 to 1. I hope you liked it. I hope you enjoyed it. I hope I started a little
bonfire in your brain. All right. I'm out of here.
I feel like I can rule the world. I know I could be what I want to. I put my all in it like
no days off. On a road, let's travel, never looking back.
