← AI Hustle: Make Money with AI
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- [00:00]
A
Meta is making some big moves. They are going full gangbusters for AI. They're making tons of changes, buying companies, building data centers, all kinds of stuff. We're going to get into all that today. But before we do, Jaden, why don't you tell them about our school community?
- [00:15]
B
Yeah. So every week we record exclusive content and we post it on our school community that we don't post anywhere else. We have over 300 members. An amazing conversation on there. And this week Jamie and I did an entire video breaking down the the latest updates in YouTube and Meta's short form video algorithms. A bunch of really interesting things I've seen that have helped someone I know on their first short form video that they've made on their channel in like a year get over 200,000 views. So there's a whole bunch of really interesting things. If you do anything with video, make sure to go check that out. Over on the AI hustle school community, it's $19 a month, and if you lock in that price when we raise it in the future, it won't be raised on you. And we also have over 50 videos. We post them every single week. Exclusive videos, breaking down things we don't share publicly. All the inside scoop on our personal businesses that we're growing and scaling with AI tools. So go check that out if that's interesting to you. All right, let's get into what Face or Meta is doing here. The thing that I think is the most interesting, or I guess one of the things I think is the most exciting, is that they have acquired Play AI. So this is a company. Play has been around for a little while. They just, you know, it's like 11 labs or any of these other platforms that generate really realistic sounding voices. And they're used by a ton of huge companies, including I think like Ford and IBM and Walgreens and Amazon and Salesforce. Like all the big companies you could think about, a lot of them are using Play AI. It's one that I've heard, you know, quoted a ton of. It's actually not ironically, the one that I personally have used the most. And I do like a lot of AI Voice stuff have not been like, it hasn't been my number one, but they have apparently acquired it. And what's interesting is it feels to me like they probably want the tech because it integrates with a lot of the stuff they're doing, but it feels to me like they really met. Like, Zuckerberg just wants to acquire any AI company with good talent. He wants to Grab as many people as he can to build his super intelligence team. And, and he is spending hundreds of millions of dollars. He's giving a hundred million dollar contracts to some of these AI researchers. Now these are multi year contracts, but still, I mean, come on, like let's say it's five years. A hundred million dollars for a five year contract, like that's absolutely insane. So he's doing that and he's also acquiring a ton of companies and I think just straight up just acquires the company, takes the team, maybe uses the tech, maybe doesn't use the tech. It just seems so crazy to me. But I think he, he realizes that there's a serious talent war and if he doesn't have the best talent, Meta is falling behind in AI. So, so crazy to me. Yeah.
- [02:53]
A
And I think this, I think this play AI1 is a really interesting acquisition. I think it's actually really needed because you know, you can see Meta and their use of AI is, is related around media primarily, or at least they want it to be. And I think one thing is, that's lacking in some of these video creation models we've seen is the actual audio. So take Google VO3 for example, has amazing, amazing visual generations. But when you, and it can add audio to it, but the audio just is what almost at this point is what the only thing you can tell that's fake, you know, so in audio really does make a huge difference in production, quality of video. So I could see this pairing really well with, you know, a really solid video generation model. And, and so I think they're like you said, kind of just acquiring what they can and building, gonna be building some really cool stuff with some of these members.
- [03:49]
B
Yeah. So I think this is super, super smart. They've also recently acquired Scale AI. They got their CEO over who's now leading their other team. So they're making a lot of these acquisitions. I think it's gonna be interesting character AI, meta, AI, the wearables, a lot of their audio stuff. It's gonna be interesting what they're able to do there. The other thing that's crazy that Facebook is doing right now, Zuckerberg just announced that Meta is going to build a 5 gigawatt AI data center. This is absolutely massive and it's hard to like really understand maybe. And if you're not, I don't know, into data centers, you may not know what 5 gigawatts is. Apparently the footprint for this data center, Zuckerberg said, is going to be about big enough to cover all of Manhattan. Like that's how big this data center is going to be. Insane, like astronomically massive. What's interesting is they have to get like the electric, like the electrical figured out because it uses so much electricity. There's so many different elements that they're, they have to figure out with this. But essentially Zuckerberg is not pulling, is he's pulling all the punches to try to compete with with a couple different companies. So he's got like the talent side that we see they're working on. He's got the data center side. They got to do the AI. What's interesting with the data centers is Facebook was sort of falling behind on AI, it felt like for a little bit there. And they've now started to really try to compete because a lot of their competitors, like for example, Google, right. Google's creating some really impressive top notch AI models. Well, how is Google able to make Gemini 2.5 Pro so good when it came out? It's because Google has Google cloud. So they have so much compute in their, you know, literally an entire platform for it. They can tap into that when they need to scale up a lot of what they're doing to train a model. Meta has some data centers but nothing to the scale that Google did. Who has a whole cloud platform? And so you either have the, you know, situation that Anthropic found itself in, where Anthropic had to make a deal with Amazon and AWS to train their model, or you gotta be like Xai, who went and built Colossus, which is their own data center. And I think they built it in Memphis, Tennessee with a hundred thousand GPUs and they put the whole thing up and just like grabbed a whole bunch of diesel generators to fuel this thing. And it was like an old, you know, abandoned, just like warehouse basically that just threw a whole bunch of GPUs in there and a whole bunch of generators and it's like, you know, the Frankenstein. But they cracked it together and that's how they trained Grok 4 so fast. So Meta is trying to, I think, find a balance between the two. I don't think they want to go diesel generators, but like, you can see the benefit that Grok was able to do that so quickly. So Facebook isn't quite as scrappy, I would say, but they're still going to build scale. So it's going to be absolutely massive and it's going to be a huge investment. So it's really, really crazy.
- [06:47]
A
Yeah. Some of the concerns of this are water and energy consumption. This is a really interesting fact related to data centers, but they think so. In 2022, data centers used up approximately two and a half percent of our of our energy. So the amount of that's how much of our percentage of our energy data centers used. They think data centers could account for 20% of America's energy consumption by 2030.
- [07:14]
B
So I really do not doubt it. I think it's, yeah, we obviously need so much more energy. It's going to be a huge problem unless we address it. One interesting thing I will say with like in the case of Grok, there wasn't enough energy on the grid, so they're just like, or they didn't have the permits to connect it or something. So they're just like, fine, we'll just get diesel generators and fuel it ourselves. In that case, like they just created their own energy. Right. But obviously I don't think that's the sustainable solution forever as millions of diesel generators fueling these things. So I think we're going to have to come up with other, like, we're going to have to scale the energy production. You know, when they say like, it could account for 20 of America's energy consumption, you'd hope that we have grown our energy consumption, like our energy output a lot to be able to keep up with that. So should be, should be really interesting. I know we're looking at nuclear, coal, geothermal, natural gas, a lot of other things we had the US Secretary of Energy Chris Wright was commenting and saying that those are like things that they know they need to scale up for AI. So it's going to be interesting to see how we, how that all actually plays out in the end, for sure.
- [08:23]
A
Well, if you enjoyed this episode, be sure to give us a review wherever you're listening. I really appreciate those and they help our podcast out a lot. And also again, if you're interested in learning to grow your business or make money on the side using AI, go check out AI Hustle, our school community. Thanks for listening and we'll see you next time.