OpenAI is unveiling a massive vision for the future of AI infrastructure, laying out plans for a $1 trillion build out of computing facilities across the country and around the world.
The company revealed a Central Park sized complex taking shape about 180 miles west of Dallas, Texas.
Now the site built in partnership with Oracle is already home to eight advanced data centers.
This comes just one day after OpenAI announced a. $100 billion deal with Nvidia.
And also when it comes to earnings, Micron Tech posted better than expected earnings and issued a strong outlook.
Revenue surging 46% driven by demand from the AI boom.
Joining me live here at the New York Stock Exchange is Stephen Orr, AKA Big Beat, CEO and founder of Quasar Markets Inc.
Well, Stephen, great to have you here.
Thank you so much for joining me.
Thank you for having me on the show.
I love FinTech TV.
Well.
Artificial intelligence that is an investment theme as well as a technology.
So we continue to talk about it and how it's expected to affect our lives.
But what do you make of all the big tech moves we've been hearing of?
You know, it's very interesting.
3 years ago, nobody was talking about AI the way we are today, right, and how we're going to implement it in our lives, and I think one of the major organizations that are doing that is in the fintech space.
I love this, right?
It's how we trade.
When I started trading, I traded on graph paper and pen. and moved up through all kinds of different technology, but today it's making our lives a lot easier to trade because it becomes part of our lives, right?
It's not just a causal response from Chad GPT, but now with the Gentech AI and the next level of warehousing AI, we're starting to see a much easier picture of how to trade, meaning I know I like Nvidia stock, I like options.
The machine becomes part of myself and it goes, OK, here's here's Nvidia news.
Here's Nvidia stock price, here's the charts, and It all together for me and I like that the fintech world is changing.
Yeah, and Stephen, when it comes to the big tech names that we're looking at OpenAI as well as Nvidia and even Intel, given all this investment and talk of future investment, what do you make of this?
Is this a national security play?
Is this an investment in the technology in the future?
What does this mean?
Yes, yes, and yes.
I mean, obviously we want to be first.
The president said we want to be the leader in AI, and I agree with that.
Um, but when I look at companies in general, I always look at companies that have the data like the Amazons of the world, Facebook, the companies that already know all about us, the companies like, you know, they know how, what I'm buying, you know, my dog food, and make that make it a lot easier for me to understand the world around me.
So when I look at AI, it's going to be a part of our digital life.
I think we talked about a few minutes ago.
We don't think of the internet back in the day as, Hey, did you jump on the World Wide Web today, right?
AI today it's just part of our lives and how we integrate into our own lives.
Like we walk into the house, you know, the house the lights will come on and you'll already know what we like, the colors we're already doing that, right?
But what if it could be all a part of our lives and help build a craft a better life for us?
So yeah, I'm looking forward to the future.
Yeah, so when we're talking about valuation for the publicly traded names that we just mentioned in the AI space, what do you make of the prices and in terms of Of AI, what are you seeing when it comes to your technology at Quasar Markets?
Yeah, you know, look, I get it.
Facebook and Amazon, these companies and Google were born out of the crash, right?
I mean, a lot of them weren't even around in the dot-com bubble.
And so we, you're looking at a lot of companies in the AI space that will weed down to the major ones and it'd be the ones that have been doing the most investing like Facebook.
I mean, I love the fact that Mark Zuckerberg is making these big plays into it.
And when you look Jensen Wong with Nvidia, he's saying, hey, look, I'm going to build an ecosystem.
I'm going to have OpenAI as a friend.
I'm going to have Intel as a friend, and they were friends before, but now he's making a personal commitment to them and financial commitment and creating these megawatt places to, you know, we're going to need energy.
It's going to be a big stock, right?
So we do need places like that.
We're going to see nuclear energy is a big issue.
We're going to see alternative energy as well, but we're still using oil and gas, the big players here at the New York Stock Exchange, right?
Energy is going to be a big play.
Here's what's happening.
AI can make that energy a lot safer and a lot faster and a lot better.
A lot of people don't understand this, but energy is lost in the transmission lines.
What if AI can fix that problem too, like say, hey, look, during the night it's just cheaper to send the lines, electricity.
All of that can make it a lot better on our lives.
So yes, the play that they're making is an ecosystem for energy, a play for data, and a play for themselves because they want to own the data too.
Yeah, so Steven, you touched on sectors including energy and when we're talking about data centers, we're talking about real estate plays as well.
So those are areas that we need to keep in mind, especially when it comes to tangential plays for artificial intelligence, but zooming out big picture, you mentioned artificial intelligence, the future of what this will actually look like for consumers as well as institutions.
What do you actually expect to see unfold?
There's a couple of things as a visionary.
I like this stuff.
One of the things that I think people aren't really paying attention to is how we will be using the AI data.
I remember back in the day that my dad told me he would never have a computer, never have the internet.
Today when the internet goes down, he calls me up on the phone, right?
The same thing.
In the future we need to be part of our lives.
It will just be implemented into us, right?
We won't even know that we're actually using AI.
We won't even be using the word AI.
So those websites out there putting.AI on their website, they.
Themselves right because in the future we won't be having to worry about that, right?
It'll be a completely different thing.
We also look at quantum computing too as well because we're going to need that and a good player in that space is IBM.
I mean they're they're the leader here with that with Watson X.
I'm really, really impressed with what they're doing there.
And so you're also going to find some leaders in that sector as well with quantum computing because we're going to need that with all this data.
Think of it this way.
A lot of times when we look at data, we're looking at it from our own databases.
But what if we put databases together that we expect to put together, let's say the weather and let's say soybeans.
Why is it a big deal?
Well, weather affects soybeans, right?
But what happens if there's a sports game in say Korea?
How does that affect the weather?
How does that affect soybean prices?
We found that out not too long ago in cocoa prices.
We saw that there was El Nino was coming across and we saw that there was a problem in the Ivory Coast, a geopolitical one.
Cocoa prices went through the roof.
Hershey's stock price went down, right?
We knew that weeks before it happened.
Because we were anticipating it through the AI, right, and before the El Nino left and when the geopolitical issues abided, all of a sudden the price of cocoa came back down and we knew that weeks before it happened so we were ahead of the game on both sides of that.
That's what I want.
I want to give people a better question to a better answer, to a better answer to a better question they didn't even know to ask.
Yes, Stephen, fascinating stuff because when we're talking about AI and its ability to extrapolate data in areas such as weather or healthcare. sports that we might not even be thinking about on a regular basis, but for viewers out there who are watching this and they're thinking, well, the labor market is not so great here in the US, what does it mean for employment?
What are you seeing in your data?
I'll tell you, look at Pfizer, PFE.
They are starting to play some of their doctors because they're building drugs, right?
And the AI makes it a lot easier.
They know all the different, yeah, the problems with all the drugs, the interactions you can have, the rashes.
They already know.
Those interactions they already know before and they can save themselves billions of dollars by using AI and they're doing that now.
Yeah, it's interesting you mention healthcare because I know a lot of people who get diagnoses from their doctors, but their doctors don't have the time or they just don't have the energy to actually tell them what all of that data means.
So when it comes to other sectors that we haven't gone into, what do you think are hot areas for AI?
I think obviously the way that we buy clothes, the way we buy our lifestyle, right, also.
How we go out on vacation.
Royal Caribbean is probably using it pretty heavily, right?
Hey, when is the best time to send this person an email because I know this is when they get they get paid and they want to go on a trip soon.
The email will be in your inbox.
You'll be like, Why is the email in my inbox?
Because it knows, right?
That's the cool thing about AI.
It's also a scary thing.
We also have to have ethics around it, privacy, and we have to have guide rails, and I'm all for the guide rails, but at the same time, those guide rails have to be very careful that we don't crush the technology that we're building.
OK, Stephen, well, we will have to leave it there, but thank you so much for joining me today.
Great conversation.
Thank you.
