The High Cost of AI Talent Acquisition

Summary

The AI Podcast: Episode Summary – "The High Cost of AI Talent Acquisition"

Release Date: December 7, 2024

Introduction

In the episode titled "The High Cost of AI Talent Acquisition," host John Doe delves into the recent financial maneuvers and strategic developments at OpenAI. He explores the significant jump in OpenAI's valuation, the substantial fundraising efforts underway, and the implications of acquiring and retaining top-tier AI talent. The discussion is enriched with insider insights and speculative analysis on the company's future trajectory.

OpenAI's Valuation Surge

John Doe opens the conversation by addressing the staggering increase in OpenAI's valuation. He notes a leap from a previously reported $100 billion to an impressive $150 billion figure.

John Doe [00:00]: "Reports out of Bloomberg are saying that OpenAI is currently set to raise at a $150 billion valuation. This is interesting because we heard some reports just a few weeks ago that they were raising at a hundred million dollar or $100 billion valuation."

He emphasizes the rapid escalation without the release of any groundbreaking new models, attributing the surge to undisclosed technological advancements and unreleased projects.

John Doe [00:00]: "They haven't released any, like crazy new models. They have a lot of tech that's unreleased. It seems like they are raising at a huge valuation."

Fundraising Details and Investor Landscape

The discussion transitions to OpenAI's current fundraising efforts. John outlines the dual approach of equity financing and credit lines, totaling an impressive $11.5 billion.

John Doe [00:05]: "Right now they're in discussions to raise $6.5 billion in equity financing. But in addition to that, apparently they're talking to banks to provide them up to $5 billion of a credit line. So that's $11.5 billion total."

He speculates on the motivations behind such a significant raise, suggesting it's not merely a defensive move against competitors but a strategic investment in expansive growth and technological enhancement.

John Doe [00:07]: "I don't tend to think that that's the case. I think that potentially the reason why they were able to go from, you know, 100 billion to $150 billion jump in valuation... is we've heard rumors that in two weeks OpenAI is going to be launching a new, a new feature for ChatGPT."

New Developments: Strawberry and Q Star

A focal point of the episode is the anticipation surrounding OpenAI's upcoming models, Strawberry and Q Star. John describes their intended functionalities and the trade-offs involved.

John Doe [00:15]: "Strawberry Q Star essentially runs through a really intense process. When you ask it a question for kind of running through like logical steps to make sure that the response it gives you is really good."

He explains that while these models promise enhanced accuracy, especially in complex tasks like coding and problem-solving, they currently suffer from slower response times.

John Doe [00:18]: "Some sources over at the information said that the model is going to take 10 to 20 seconds to answer a single question."

John connects these developments to the increased fundraising needs, highlighting the necessity for more computational resources and optimization efforts to support these advanced models.

John Doe [00:20]: "They can buy more servers, buy more GPUs, get more computer, run things faster. They also can spend money optimizing the model."

A significant portion of the episode is dedicated to exploring the financial demands of attracting and retaining elite AI talent. John underscores the exorbitant compensation packages, which often include substantial stock options.

John Doe [00:22]: "We've seen leaks that I think they're paying like $5 million to some of their top talent. And that's not all just like a cash salary. A lot of that is stock."

He analyzes the sustainability of such expenditures, contemplating how OpenAI allocates the raised funds towards personnel and computational expenses.

John Doe [00:25]: "This is very expensive to maintain these people. And so when they're raising crazy numbers like six, you know, $6.5 billion and $5.5 billion from the bank, that $11 billion is going, a lot of that is going to researchers and then a lot of that is going to compute."

Future Outlook and Concluding Thoughts

John wraps up the episode by expressing enthusiasm for the imminent releases and the potential impact of OpenAI's strategic investments. He commits to keeping listeners informed about the launch of Strawberry/Q Star and the outcomes of the massive funding round.

John Doe [00:28]: "I'll keep you up to date when Strawberry slash Q Star launches, how good it is, and also when this gigantic funding round closes from OpenAI."

He also briefly touches upon the importance of listener support, encouraging reviews to help sustain the podcast's momentum.

Key Takeaways

Valuation Growth: OpenAI's valuation surged from $100 billion to $150 billion within a short period, driven by undisclosed technological advancements and investor confidence.
Fundraising Strategy: The company is pursuing a dual strategy of equity financing and credit lines, aiming to raise a total of $11.5 billion to fuel growth and development.
Upcoming Models: Strawberry and Q Star are poised to enhance ChatGPT's capabilities, albeit with current trade-offs in response times. These models require significant computational resources and optimization.
Talent Acquisition Costs: Maintaining top-tier AI talent is financially demanding, with compensation packages reaching into the millions, primarily through lucrative stock options.
Future Developments: OpenAI's strategic investments are likely to bolster its market position, with upcoming releases and funding rounds being pivotal to its continued dominance in the AI landscape.

This episode offers a comprehensive analysis of OpenAI's financial strategies, technological advancements, and the hefty costs associated with sustaining a leading edge in the competitive AI industry. John Doe provides listeners with a nuanced understanding of the intricate balance between innovation, investment, and talent management that propels companies like OpenAI to the forefront of artificial intelligence.

Transcript

John Doe (0:00)

Reports out of Bloomberg are saying that OpenAI is currently set to raise at $150 billion valuation. This is interesting because we heard some reports just a few weeks ago that they were raising at a hundred million dollar or $100 billion valuation. And that was in itself was really exciting. A lot of people were talking about that in February they raised an $86 billion valuation. So it seemed like, okay, you know, 86 billion, 100 billion. These things are moving up. They haven't released any, like crazy new models. They have a lot of tech that's unreleased. It seems like they are raising at a huge valuation. Now I have a bunch of theories on why this could be what the jump is from. And also breaking down who's putting the money in, what they actually plan on doing with it. There's a lot of really interesting moving parts here that I think not a lot of people are talking about. Before we get into that, I wanted to mention that today's episode is sponsored by my AI Hustle school community. So if you have ever wanted to start a side hustle using AI, if you ever wanted to become an AI consultant for companies or build, you know, just different side hustles that generate revenue using AI tools, I've done many, many. And I host an amazing podcast called AI Hustle with my co host, Jamie McCauley. You should give the podcast a listen if you haven't already. And we have a school community where for $19 a month you can join and we share. We break down exact products, we use exact software tools and processes that we use to make thousands of dollars from, you know, just different AI side hustles. This is fun for me. I'm building a company AI box that is going to allow anyone to create AI tools, make money from them. So I'm kind of interested in the space and testing out different strategies and tools that are out there. And I publish and share all of that on the school community. So if you're interested, there's a link in the description to school community and I would love to have you as part of it. Now, as far as OpenAI what they're doing, two different things stand out to me. The number one, this got leaked by Bloomberg, by the way, and it's kind of like an anonymous source in the company. But honestly, this is. This all seems to be falling in line. The first one is that right now they're in discussions to raise $6.5 billion in equity financing. But in addition to that, apparently they're talking to banks to provide them up to $5 billion of a credit line. So that's $11.5 billion total. And this is interesting because this is all, it's obviously at a great valuation, but this is, this is the same amount of money that or this is more money than they essentially sold 50% of the company for to Microsoft in the past. It's interesting that almost half of this is, is credit line. This obviously isn't something you can do when you're a very early stage company not making a lot of revenue. But as we're seeing, OpenAI is making billions of dollars in, I think like $3.5 billion a year in annual revenue. And so I think at this point they can go and get these $5 billion credit lines because they can show the bank, look, we're, we're making billions of dollars. And so it's, you know, it's conceivable that they could pay this back because when they, when they raise the 6.5 billion from investors, that doesn't have to be paid back. So who is giving them this money? Why is the price jumping? I have a theory on the price jumping, but the first thing I want to talk about is who is giving them the money. So this round is still supposed to be led apparently by Thrive Capital. That's who they were kind of leaked earlier by. I think the information that was going to be putting $1 billion into their $100 million valuation. It looks like the valuation got higher. They're talking with Microsoft, Apple and Nvidia to come in. So it seems like they have all of the big players, everyone's interested and maybe they're just deciding that it's a little bit, they could get a better valuation. It's a little bit frothier. Something else that I do think is interesting is the fact that we're still like, I know a lot of people are like, oh, they're just trying to get as much money as they can right now because we don't know what, you know, they don't know what's going to come down the pipe. Maybe their competitors are going to beat them or something. I don't tend to think that that's the case. I think that potentially the reason why they were able to go from, you know, 100 billion to $150 billion jump in valuation. Sure, the markets might be a bit throw off the, and they're kind of like the king of the castle, the best AI company. But I think the real reason is we've heard rumors that in two weeks OpenAI is going to be launching a new, a new feature for ChatGPT. I can't say a new model, but essentially it's called Q Star or Strawberry. I've covered this in the past, but, you know, we weren't sure when this thing was going to drop. And apparently there's some new information on it that came, that was leaked from the information about what exactly is going on with this. And so I think that my kind of assumption and thought here is if you're able to go from $100 billion valuation, $150 billion valuation, that's, that's a pretty, you know, massive jump in just a month or so while you're still in talks with investors. My assumption is between Sora, their video model that's unreleased, and a bunch of their probably some image and some audio stuff that hasn't even come out yet or hasn't had a broad rollout on the audio stuff either. The investors see there's a ton of potential and the OpenAI is just going to keep gobbling up more and more of the market. And my assumption is that this new Strawberry model is also been really impressive. Typically when you go and raise money from big investors, you go and show them like that the tech that not everyone can see and you're like, look or isn't this big valuation. That's because we're about to release this amazing tech and you give them kind of the demos of the latest and greatest that you don't show everyone else. My assumption is that's what's happening with Strawberry, Q Star, Sora and of course their voice and whisper, whatnot. So I think this is really exciting. I think there's a lot coming out. So what exactly is Strawberry and Q Star going to do? Why would it warrant, if it does warrant, you know, an extra $50 billion on their valuation, which is. That's massive. Like at the peak valuation, that's like 30% higher than that. So what, what warrants that straw? Strawberry Q Star essentially runs through a really intense process. When you ask it a question for kind of running through like a logical, logical steps to make sure that the response it gives you is really good. The idea is that this is really good for code. This is really good for problems that need a lot of thinking. Things that typically in the past math that you, that had hallucinations, right, you'd ask it questions and it got it completely wrong. This is apparently supposed to solve the problem. So is it just like, boom, the model's better? Not quite. There are some definite trade offs that have been reported. The biggest one that I've seen, some sources over at the information said that the model is going to take 10 to 20 seconds to answer a single question. So right now we asked the question and we can see in real time it kind of typing out, it fills you out in the whole question. That's not going to be the case forever, apparently, with Q Star and Strawberry now, maybe this gets faster in the future. And that could be a big part of why they're raising another $11 billion. Two things they can do with that, they can buy more servers, buy more GPUs, get more computer, run things faster. They also can spend money optimizing the model. We've seen a lot of success from other companies. It seems like OpenAI just takes a big chunk of money and throws it at more GPUs right now. And a lot of people are doing that. But there, there's a lot of companies that have seen a lot of success with just optimizing the model so it can run faster and be more accurate. I believe GROK was able to do some successful things there, so it'd be interesting to see if they spend the money on that. But Definitely, I think GPUs and talent are going to be a big part. One thing that I think a lot of people talk about is just how expensive it is maintaining the top AI talent. So there's only so many people that really are in the top echelons of AI and what's going on. You have, of course, Jan over at Meta, who's doing a phenomenal job. Anthropic is doing a great job. And it really seems like there's some real top talent that they don't want to lose. And we've seen leaks that I think they're paying like $5 million to some of their top talent. And that's not all just like a cash salary. A lot of that is stock, which, to be fair, like, look at the stock price where we're seeing $86 billion valuation in February and now $150 billion valuation, like stock is going up like crazy still. So it seems like, it seems like this company is definitely growing. And the people that are getting paid for, if they're getting paid in stock, that's also doesn't seem to be a bad deal, right? Imagine you're making $5 million in stock and it goes from 80 billion to 150 billion. You're almost doubling your stocks now. It's like $10 million a year, and it's probably stock options for cheaper prices. So honestly, it's probably, it could be even more than that. You could be making 15, 20 million dollars a year in stock options as one of the top researchers of these companies. So all of this to say, um, this is very expensive to maintain these people. And so when they're raising crazy numbers like six, you know, $6.5 billion and $5.5 billion from the bank, that $11 billion is going, a lot of that is going to researchers and then a lot of that is going to compute, obviously, probably the most expensive part. So really exciting to see what happens here. I will keep you up to date when Strawberry slash Q Star launches, how good it is, and also when this gigantic funding round closes from OpenAI, I'll keep you up to date on how much they actually end up raising, who puts the money in, and what the final valuation is. If you enjoyed the episode today, I would really, really appreciate it if you could leave a review on the podcast. Something I've noticed. So, I mean, shout out to all the Apple listeners over on if you have an iPhone. I feel like I have way more listeners on Apple. I think probably like 70% of my listeners are Apple. Maybe like closer to 30% are Spotify. And there's, there's some numbers in the middle of other platforms, but those are my big places. And Spotify currently has written more reviews than Apple. So if you could do me a huge favor if you have an iPhone or an Apple device and you could leave me a review, if you haven't already, I would really, really appreciate it. Helps me get amazing guests and get you these timely episodes even while I'm traveling, like now. But in any case, hope you all have an amazing rest of your day. I'll keep you up to date on some very exciting new announcements and stuff coming down the pipe very shortly.