From Marhart where Innovation, Money and Power Collie in Silicon Valley, NBN.
This is Bloomberg Technology with Caroline Hyde and Ed.
Love Love.
And Caroline Hyde a Bloomberg's Weld headquarters in New York.
Annahmed Lovelow in San Francisco. This is Bloomberg Technology.
Coming up a conversation about the future of technology with the CEO of Stability AI, the houp startup that has just launched a chatbot to rival chat GBT.
Then Tesla raises prices of some models in the US one day after CEO e Long Musk hinted at further price cuts. This is more shareholders flag concerns that Musk is stretched too thin.
An Earth Day is coming up and we'll break down the pros the cons of carbon hatchare technology as more companies to offset emissions. First says check in what's happening in terms of public markets. Let's move it on, because I wanted to show what was happening in terms of some of the benchmarks. I don't want to steal Ed's thunder, as I think this is one of his individual stocks to watch, but we are seeing at the moment maybe
completely flat on the Nasdaq. Overall, we're still trying to pass some of the overall view on the macro perspective here. We actually had the PMI data, so business activity showing strength. So does that mean the Federal zerv does have to hike? We are flat on the NASDAK. The two year yield just interest up four basis points. Has been far more volatile than some of the benchmarks in terms of stocks recently, I shine a light and crypto actually having its downward week.
We're off by seven percent on the OG in the crypto space, just off by six tents of percent on the day. Relatively muted volatility there. Let's moveing on and have a little look on what's happening therefore in really where we look towards earning z because I think this is what is capturing traders' attention and why we're seeing some caution in the market. We have overall seen well
perhaps well we'll move over into the micro. I think we can't get that particular chart right now, but I wanted to show just how much of the heavy lifting technology is done, particularly in the S and P in the first quarter ED.
It's why we continue to track the news cycle because you look at points movers on the Nasdaq one hundred, that is what is driving indexes in either direction right now. Amazon, as you said, I was quite excited about this because it's moving through.
The upside, up more than three percent.
The headline of the last twenty four hours is that cuts are coming at the Whole Foods division, particularly.
In corporate roles.
We know about where Amazon's been trimming and that those layoffs and ounts have started, but it's interesting that Whole Foods as well is seeing some of that action.
Let's go back to Tesla.
Tesla's actually turned the corner in terms of its direction, its momentum in the last hour or so. We're hired by more than a percentage point, having been lower, markedly lower actually earlier in the session. The emphasis overnight is on price raises on model essenex here in the United States.
But we go back to earnings a couple of days ago, the emphasis from elon musk more price cuts could come because this is a company CARO that is willing to sacrifice margin and profit to sustain that rate of growth that it's targeting fifty p sent or so on an annual basis going forward.
Yeah, and I think we're going to be diving much more into the individual moves and into Tesla in a moment. But first let's talk about some of the geopolitics at play surrounding technology right now. President Biden, of course, he has been saying that he's going to crack down even more on US investment in key parts of China's economy, including in Chip's AI quantum computing protu. Moost Josh Wingrove covers this from DC and we sort of got hints a great scoop coming from some of your team in
Washington about the move before the G seven summit. How likely are we like to see allies actually agree with this?
Well, the move music isn't good right now that they're all going to join hands and proceed on this, but they might sort of give cover fire, if you will. And Biden kind of wants a coalition of the willing when it comes to sort of squeezing China's these sort of key sectors and squeezing investment in China. So even if for instance, Europe, Canada, Japan aren't enacting the same type of restrictions, if they give either an explicit or acid blessing, it looks like we'll see the US go
ahead with this with his executive order. Now, this is our colleague Jenny Leonard reporting it. It will be sort of aimed at a few sectors, and it is preliminary. A the order itself is still in the works be it would then lead to regulations which take a long time, and you know, the devil is in the details. So this is still very early stages. But what it looks like is the US will proceed probably on its own right now, according to our colleagues reporting, with the sort
of blessing of its allies. And this of course will further risk inflaming tensions between Beijing and Washington at a time where the sort of you know, wrangling over these economic restrictions has really been on the upswing.
Josh.
The logic from the administration, whether it is semiconductor or artificial intelligence related, has been the concern that China would apply that technology for military or security purposes, going against the security interests in the United States in the chip sect to what's interesting is you kind of have Taiwan caught right in the here TSMC, and that's actually an example where the United States has got allies on side the Netherlands Japan in terms of curbing chip exports to
China through the Taiwan straight What is the latest there.
Yeah, our colleagues are reporting that Taiwan is miffed a little bit that the US is sort of lumping Taiwan into its broader push, saying effectively, look, if you're trying to reorient away from Taiwan as part of a reorientation away from China, then in a way, you're kind of distancing yourself from Taiwan, which nominally the US is looking to support more broadly, and of course on the question of even when it would ever come to a question of military defense of Taiwan. So this is the kind
of the really the big question. The US is trying to really steer those supply chains away, and that's got people's backs up in Taiwan who are saying, look, you know, like we were trying to be your friend here, maybe just don't don't lump us all in, don't paint with the same a big brush when it comes to dealing with these issues. His attention to the US is trying to do. Interestingly, in that story, they're particularly peeved at the Commerce Secretary Gina Raymando, who they think has been
really ringing the bell on this one. And Raymondo has said, Look, the US is not looking to make one hundred percent of chips, for instance in the US, but they need to make more. It's not just that question of spying, sponage, military capability. It's also simply a question of availability. They don't want to be left without these things.
Yes, certain the conversations I'm having around the world are about the concentration of supply chain in Asia and not necessarily bringing all on shoring one hundred percent to this nation. Joshuaen Gerry about a DC, Thank you so much. Look, another rival to open AI's chat GPT has hit the market. Stability AI just launched Stable LM, a chat bottel designed principally for researchers. But the model is already experiencing a couple of issues and answering simple prompts.
Like what is five plus five?
By meandering into a meditation about square inches and feet?
What does all of that mean?
Will STABILITYI not that it's growing pains with this early technology. We've also reported here at Bloomberg the company raising funds at a four billion dollar valuation according to sources.
Let's get all of that with CEO Emmad Mustak for more.
Immad, Welcome to the program, Caroline, and I have been looking forward to speaking with you. This model, it's targeted at researchers, right, it's a little bit nascent. What is it you think researchers will do with it?
So I think that you have two paradigms here. You have the proprietary models, which includes open Ai, chatterpt and the rapt bit, Google, et cetera. And then you have the open paradigm where people are taking these models, they're experimenting with them, and they're doing wonderful things. So last August we collaborate and launch Stable Diffusion, this text image model that drove Lensa and one of these avatar apps.
It was four of the top ten apps in the app Store, and the developer community there overtook Bitcoin in the theorem in cumulatative likes within two months. The ten years of that and it's become almost as popular as looks now in terms of.
All these people working on it.
So rather than basically take a gigantic model, put it out there a keep it secret, this approach is stead is iterative. You start with the seed and then you build it up, and the iteration feedback loop means it's going to get better and better live in front of people as the whole world yes and hacks on it, extends it, and it'll be super interesting to see what happens.
M do you take us an interesting place quite early, which is everyone focused on the kind of billions of parameters that open ai is using for its llms. Actually a lot of what people are doing out there the inputs are based on a few one hundred million parameters at a lower scale, requiring less compute.
There's still a question.
About guard rails, and I'm interested in what guardrails you put in place for stable LM.
So it was never our interest to build big models.
This came from a lot of the labs wanted to build AGI generalized stages could do everything, so GPT four can pass the bar exam and GRE and GMT and everything like that.
It's an amazing piece of software.
But these big models are like really talented grads that occasionally go off their mets and they've fed jug food the whole internet because nobody's done the work on what is the actual data you need optimally for these models. What data do you need to feed these models so you can use them inside Bloomberg or a hedge fund or irregulated industry, so you have data transparency as well with these things. So the guardrails that we've put in
place are trying to work with various parties. We've anounced Amazon as a partner in many mores coming on setting standards around open models because they are essential for private data. We have done things like in our previous image model that we released, we offered opt out and we're the only company in the world to do that, because what if artists don't want to be in the data sets and we offered full transparency around that allowed them to
opt out. And I think these things will be interestingly important as you need standardization and industry self regulation at the big company level, at the anthropic open AI, cutting edge big model level, and at the open level. And we are looking specially there at the open level. That's why I kind of signed the FLI letter a few weeks ago, because I think now is the time for self regulation to take a pause and do this right.
Yeah, because it's going around the world incredibly.
Quickly, many will know stability AI well because of well already the image text to image that you've so put out their stable diffusion and you say you gave the opt out, but many it didn't stop some of the lawsuits coming your direction. How do you win hearts and minds of people that are worried about where the data is coming from and ultimately actually who owns it and who benefits from it.
I think the way that you do this is you put it out in the open and have an open discussion around it. They're working with multiple governments now and helping them with national.
Models as well with open data sets.
And I think we should move away from web crawls and these are random things to having really high quality data that reflects the diversity of the world and is open and interpretive.
That at Watertable and I.
Said, there's no regulated industry or government that can use a close black box model. You need to have open models that come to the data that you own. So a lot of these companies, these really talented grads that are these models. Effectively, you know, they're like hiring for McKinsey, whereas you want to hire your own and have that because you can't give away your private knowledge.
But again, there's so many standards and.
Questions that need to be done around this, and we have to have those discussions now because the technology is literally going everywhere.
I think it will be the number.
One topic on Earning Scores and then definitely every government policy within the next few months.
Do you have confidence that either you can self regulate or that some sort of multinational agreement can come to bear.
I think it will be both.
I think that you've got regulation, you have legislation, and you're seeing legislation come to bear, like Italy banning CHATCHEPT for example, and the EU looking at GDPR laws, whereas Japan has a very different regime.
In the UK has to writing regime.
One of the reasons I created Stability has a headflow manager before say to be on Alexis Show, was to try and make an entity that could help organize this that scale across the open area, even as this other regulation in the cut edge area with giant models and at the big company level as well.
Am I Bloomberg's reported you're raising funds at a four billion dollar valuation.
Did you close that round?
I can't talk about things like that.
We're the only company in the world that can build any model of any type for anyone.
So it's a very interesting time.
How about revenue generations, go ahead, current ad talk to us about how you make money.
It's an open core model. So this is where I saw the arbitrage again the head trad manager past. What we're going to do is we're going to build the benchmark. We are the one of the largest putters of open source in the world, academia, others, because there's a big gap there with our supercompute. And then we take that and build on stable series of models that are the benchmark models that we build from scratch with the data sets.
We have commercial partners that license it to financial variance, insurance variance, healthcare variance, and the language models, et cetera. And then national variants of that, and then through partners such as Amazon with Bedrock, you can go on Amazon, take that to your data and fully own your own model.
And you know, we share on.
The upside with our partners at Hyperscalar system integrators. And then for a series of companies that will announce soon, we're building them dedicated a item so they can keep on top of this. And that's an incredibly great business model because we offer stability at times has meant kind of chaos because no one knows what's going to happen.
Am I do?
You tweeted about AWS and Bedrock there was interesting How much of a differentiator is it to partner with tech companies that have mL specialized silicon and are working to improve the compute part of this process.
I think it's a huge differentiator because you're moving from the GPU age to the asset age, just like you saw with bitcoin. So we work closely with Amazon on Inferentia too, which is an amazing diece of silicon that can run these workloads much much cheaper, and you'll see that being released an announcement.
I think it's just John ga.
The Bedrock service itself means that a company switches ours as eighteen months old, one hundred and eighty people.
We do so much.
We do all these models and all the types of video models, code models, language models. We can instead leverage that infrastructure. Take there's two one hundred thousand companies at stage Maker, and you know they can face Amazon.
Instead of us because that's who they trust.
And again, you want trust at a time like this, You want to have customs silicon that can run this incredibly cheaply, and you want standards around it. This is why our stable diffusion model is the first model on the Aerial Neural Engine at the start of December. Yeah, and so the customization optimization is going to be key.
The key thing is distribution, because so many people want this and no company can scale fast enough and trustworthy manner enough to be able to support those slayers, et cetera.
Stability AI CEO M. D. Mustak. Great to have some time with you. We thank you for working us into your calendar. It's busy, We appreciate it.
Ev maker Tesla is raising the prices of its Model S and X in the United States. Comes after steep price earlier this year, which took a toll on profits, and of course it's had an impact weighing down the shares. It's just two days after test the lowered prices of some of its other models. We're tracking all the moves.
Bloomberg Show and O came with us from Austin. The narrative does not match the action, right Sean, So tell us what we know about Model S and X in the US versus what Musk has been saying this week about strategy.
Yeah, I mean, I think what we're seeing here is, you know, possibly a response to some of the pressure on the company as far as all of these price cuts that they've been sort of throwing at the Model
Y and the Model three. But also I think it's important to remember that the first quarter of this year was one of the lower quarters of deliveries for the Model SNX over the last year and a half or so, basically since Tesla relaunched the sort of semi redesigned version of each of those cars about a year and a half ago. So this is you know that sort of almost counterintuitively, you think they would want to cut prices to increase the demand on those cars.
But I think this is them saying, Hey, if.
Our numbers are already kind of low on these cars, we might as well make back some of the margin here, even though it's obviously not going to make up, you know, for all of the money that they're losing by cutting some drastically on the Model Why.
Yeah, this is where they've got to kind of square the circle. They have a very luxury end that actually is still way cheaper than it wasn't the start of the year, but it insured up by two or three percent on the day. But they're trying to keep the allure of that luxury number the xcs well at the same time making the threes and the ys just really mass scale here. Can they do that? Can they keep the allure of the higher end while still competing with Runner and foward ultimately?
I mean, I think that's what we're really going to see this year. And you know, I think one of the things that's instructive when thinking about Tesla is that some of these other companies that are looking to try to replicate their success in the luxury space as far
as the startups go, are actually really struggling. Lucid Motors has spent the last couple of months talking about how they're actually really having trouble creating demand and they're throwing more money into marketing to try to find customers for their expensive cars. And I think Tesla's always been kind of content ever since the model why especially took off in popularity, to let the S and X sort of be these sort of high end things that don't really
push too foreign volume. They've started selling versions of those in China, these newer versions, and so I think they're going to find some homes for it, but I don't think they really think of it as as a big driver for them, And it just sort of remains this kind of like legacy halo thing that if you have the money, it's probably nice to have. But people seeing content with the Model Y and the Model three and Tesla seems content to push volume on those models and really just let that lead.
Yeah, sure to Kaine trying to weave the narrative for us, as I'm sure you know Musk is trying to weave the sales as well. We thank you in other Musk related news to do it. Twitter stirring up all sorts of confusion after the social media platform remove those legacy check marks for verified accounts that aren't paying for its Twitter Blue program. Yet not everyone had to say goodbye
to the blue checks? What was going on? Asia Counts joins us now right here in New York to talk us through it, and Asia seemingly Elon is paying for some blue check marks himself. How does that make sense?
Yeah, it's a really weird situation. So, as you mentioned, legacy blue check marks went away in April twentieth. That means celebrities, athletes, anyone that's sort of notable under the old verification process lost their check mark. And so Musk has been very vocal about saying people are gonna have
to pay for them. But then he decided to pay for a few celebrities, so Lebron, James, William Shatner and then Stephen King because they had been sort of vocal about not wanting to pay for the check So I guess he felt like he wanted to pay for them for some reason.
Asia you know, I elected to subscribe to Twitter Blue. I did it the moment it was available in North America for functionality experience. I wanted to see what the edit button did. I wanted to see what the ten eighty video quality was like. Longer form tweets is another new function, But the verification process is really at the core of this debate. What does it require for you to technically be verified on Twitter from this point on?
Yeah, so interesting change from what it used to be in the past. Essentially, you have to pay for Twitter Blue. You have to subscribe, which is about eight dollars per month, and then you have to have a phone number, and then there's a few other requirements like having a display photo and a name. But it's very very simple and users I've talked to you so that they were verified within twenty four or forty eight hours, so there's not really much that you have to go through as you counts ed.
Yeah, Bloomberg's age counts out of New York. Coming up, We've got to get back to that story on lift. The headline's rolling is the company announcing a restructuring plan.
We'll have all of those details for you. This is Bloomberg.
Caroline Lift out with a statement confirming it is doing a restructuring plan which will include significantly lowering the size of its team, although it does not give a specific number. What jumps out of me though, is that there's no change to its previously issued financial guidance. But look, this is in line with what we're seeing across industry, a cost saving exercise.
And interestingly, the CEO, the new CEO, only days into the roles saying they'll use those savings to invest in competitive pricing. This is about the competition, of course they have so directly with Uber and the United States, but this is a large amount of people and they already of course had a previous helm of the founders had slashed about seven hundred jobs late last year, we understand, and this is Wall Street Journal reporting that it has to
cut one two hundred or more jobs. So that's what thirty percent of their entire employee base.
Yeah, and I actually misspoke a little earlier. When CEO Risher came on the show for the first time a couple of weeks ago, he said the company is not for sale. He then went to an all hands meeting and told staff, I'll tell you what I told Bloomberg. The company is not for sale, and that was something the market thought might happen. But yeah, he's clearly acting quickly to get the costs under control.
He is, and it is a sign of the times as of we, of course see the macro environment continuing to be tough for some of these technology focused companies. A lot that did a lot of hiring during the pandemic. We've seen, of course, the continue layoffs that continue to be executed over at Meta of course this week, and this hits morale. I wonder how the CEO really tries to speak to that at this moment. Wellcome back to Bluemow Technology. I'm Caroline Hyde in New York.
And I met Ludlow in San Francisco. Cary, Let's get to check on these markets, because you look at the nas that one hundred completely flat, but ro on course for a weekly decline of around seven tenths of a percent.
Earning season starting to be a big factor, but we're still passing the economic data and what that means for the FED going before going forward under performance in the chip space, look at the socks, we're soft by a percentage point, a little push higher on the ten year yield three point five percent, and as you talked about earlier, some downward pressure this Friday on Bitcoin of just under twenty eight thousand US dollars per token. A lot in
the new cycle is about artificial intelligence. We're going to go big on one story in just a moment, but you look at some of the specific movers on the Nasdaq one hundred driving us in one direction or the other, putting us in that flat position. Microsoft Alphabet, the parent
company of Google. That's a real focus for us, not big trading in one direction or the other, bigger moves into other AI names, C three AI to the downside, Big Bear AI to the upside, What I would say is we've kind of lost this kind of broad momentum or logic when it comes to trading in AI related stocks.
Still fun to track.
Though it is, and it's also fund to try and track what the companies are doing to se harness some of the growth potential of this AI that they're using internally or seeing other companies try and compete away. I used to say in the house on this Friday's Megs Davey Alba, who was just reported on Alphabet's changes to combine its AI research units basically under DeepMind, which was the big UK pin up, and when I was talking about technology over there in Europe, DeepMind was this big
kind of loss when Google bought it. Interesting that's taken so long to sort of put them on underneath deep Mind.
Yeah, I think it makes a lot of sense. You know, Google has had these separate units in two different places, Google Research on one side, and the brain unit under Google Research was responsible for a lot of a tech that is now in chatbots like chat GBT, even its competitor by Open Ai and Google's bar So they've been innovating sort of in the.
Mountain View office while deep.
Mind has been in London and sort of working on loftier research concepts. There's been lots of questions about how to consolidate those groups so that they can move forward more efficiently with their research. And that's I think what this reorganization does, David.
It also goes back to kind of the history of Google and AI, right, and you go down to Mountain View ten or so more years ago, you're kicking the hacky sack around. It's an extracurricular activity where like lots of different teams would get together and talk about machine learning later AI. But actually what they're doing now is getting some personnel changes as well. Some of the management are moving into more kind of research focus roles. What are the details in that respect?
Yeah, absolutely.
Jeff Dean, who is this like legendary researcher at Google, is becoming chief scientist at the company and he is not managing people anymore. You know, we've talked to sources inside Google who think that this is actually a good development that he, you know, is folks using more on the research and he will work closely with Google Deep Mind to just move the ball forward in terms of research.
And then you know, Google's CEO of deep Mind is the one that is going to be ultimately in charge of this consolidated unit.
So Demis, of course Demis has a buss Yep. Absolutely, what about the anxiety levels in Alphabet, Can you just give us a check in of what they feel. We've seen a pitch I on sixteen minutes. We've seen a lot of talk of trying to get back the narrative that you know, AI is synonymous with Alphabet and Google, not just chat GPT in open Ai. Yeah. Absolutely.
I mean Google has for so long called itself an AI first company. As Sondhar Pachai took over as CEO, that was his sort of line that he kept sort of hammering away at.
And Google really.
Has something to prove here. It's been scrambling to catch up to open ai and the innovations with chat GPT, and also it's big competitive or in Microsoft as they've integrated that tech into bing that scramble has come out with a code red you know, under the company, and they're really just from the top down telling folks to hunker down and come out with these generative AI products.
So anxiety levels are absolutely high. At the same time, you know there are ethical questions about the tech that is being rolled out, and Google has a ton of brilliant researchers who are also concerned with these things, and there's that tension there.
All right, Bloomberg's debut, Albert and all things Google. Thank you.
Let's continue with AI and a coverage actually the Emerged Tech conference out in Miami. Care and bring in Angel Bush, founder of Black Women in Artificial Intelligence. An interesting group. Angel, Let's start with Miami first. Why have you taken yourself in your firm out to Emerge this week.
I am so excited to be here at Emerge because there are so many innovative things that are happening, and you have so many subject matter experts here that you can connect with and really find out more information about what's happening in the industry and what's going to happen the future of AI.
Hey, Caro, I think you know for us, we're trying to pass over some names and leaders in a field of artificial intelligence, which everyone seems to be jumping on. Like all tech subsectors, we also consider diversity right in leadership in that space, and.
There's been a lot of anxiety, particularly around biases that get automatically built within some of the II models. If the right people aren't at the table, if the right input something put in And Angel, we want to go back to why you founded Black Women in AI. What event were you at where you saw that it wasn't speaking to you.
Well, I was at an event and I don't want to name the event to be honest, but the purpose of the event was AI and technology, and I did not see a full representation of myself. And at that time, in twenty nineteen, they continued to say that artificial intelligence is the fourth Industrial Revolution, and again I didn't see a representation of myself. And in those moments, I said, well, surely you can't have a revolution without black women, and that was the start of Black Women in AI.
Well, Angel, what work are you do it?
What is it the function that Black Women in AI carries out each day?
Well, our mission is to educate, engage, embrace, and empower black women and we've partnered with another a number of companies to do just that by providing various initiatives that educate our community on AI. What is data science? And I know data science is not AI, but it's a close cousin. What is autonomous vehicles, what is machine learning?
What is computer vision? What is AR ANDVR? We are learning these things, but we're also learning how to ace the case in essence when we're going to our interviews and things of that nature. So we're educating the entire process of AI, from being a creator to being a consumer to being a part of the industry.
So Angel, is it more about ensuring that people coming through education are being well versed in AI and therefore able to join these companies in partner with or is it more ensuring that people within these companies are having a voice, able to take leadership roles. What part of the stack are you're looking at To a certain extent, it's.
A combination of both. We want our community to be engaged in AI because it affects all of us. AI is global, it's not something local. It's not a fad. It's going to be here and it is affecting all of us. It has an impact on our community, and I want to make sure that we're not only exposed to it. But again, we're not just consumers, but we're creators as well. You know, how to be a part of the system in terms of AI and corporate America.
But we're also learning how to be creators in this space as well.
And in a way, and this also speaks to of course, it's about diversity thought, diversity of background, but it also means that therefore the talent pools are so much richer, and not just in Sullivon Valley, not just in New York. They're in Miami, they're in Austin, They're in on the parts of the United States.
Right.
I think Angel, you're interested in who you're speaking to out in Miami this week. You yourself had a long career in the oil and gas industry, You've made the jump to AI. Are you seeing people make similar moves to kind of jump on the momentum in this sector?
I am, Actually I'm seeing a lot of people.
I know.
The notion is that women are leaving technology and AI, but we're seeing the opposite. We're seeing people from across the globe. Again, we have members located on five continents, so we're seeing women across the globe come back to tech who may not have been encouraged when they were younger, who may not have thought that there was space for them, and we are providing that space. So again they can learn, they can be educated and engaged, embraced and empowered in
this space. Would also feel that they can succeed in this space. Again, whether they're a creator or a consumer, we want them to know everything they can know about artificial intelligence.
Black women and AI founder Angel Bush, we appreciate you making the time while busy out there in Miami.
Ed I think, yeah, well, thanks to Angel and are coming up.
We're actually going to take a closer look at the Miami VC scene with Panoramic Ventures Paul Judd, which is coming up next. So let's talk about what's happened in the ground out at Emerge.
This is Bloomberg.
AI.
You've heard of it. It's probably a thing that's going to grow, and you know, let's invest in that. So semiconductors at a minimum and other software investments are probably going to be key.
That was Kim Forrest, founder and CIO of Boque Capital Partners.
There.
Let's go from the public markets though to the private markets and bring in Panoramic Ventures managing partner Paul Judge for his take and where he's looking for the next big thing. You're out there in Miami to Emerge, right, you split your time between Atlanta and down in Florida. Good hunting ground for a venture capitalist.
In Miami, It's been amazing. I've been based in Atlanta for the last twenty years and always believe this view that you know, innovation is not just in the traditional techops of the valley, and we've done most of eighty five percent of our investments have been in the Southeast and the Midwest. And two years ago I started to spend my time in Miami and split because of just the growth of the tech ecosystem here.
We've did the sound sorry to interrupt you, Paul. The SoundBite we just played from that that public market investor is about your opportunity in AI and semiconductors. I'm interested, you know, which sections of the technology industry are most appealing. What's the good work that's going on out in Miami.
You know, there's a few things that are happening. If you look at all the changes in finance right now, you know, decentralization with blockchain, but then also kind of the shortage of capital that's flowing through the markets now right and then lastly what happened with SVB and others. People are thinking about, you know, how do you have safety of your treasury, but then how do you find upside and where do you find outf and where do
you find returns? And so you know, individuals as well as corporations are rethinking finance totally right, and so even we just saw Apple get into savings accounts and so we're investors and another number of companies that are kind of rethinking finance. Another big trend where we're spending a lot of time is is cybersecurity, and it's an evolving landscapehere. You're always chasing the attackers when as they're figuring out the next battleground to try to break into organizations. You
know a number of our investments are there. There's a company called Loumu that's a cybersecurity company based in Miami that helps you figure out you know, you must assume that you have an attack on your network, but how do you identify it and how do you figure out what to then do next?
Caroline on BlueBag Technology, you and I are trying to cover this industry globally. Look at what's happening not just on the West coast or the East coast. But it is interesting to look at where the megacat Tech names are where the biggest startups are. Does size matter when it comes to momentum in the sector.
And also where does the value originate? And it's interesting, Paul, you talk about cyber which feels like a space that's been more resilient to the macroeconomic headwinds because everyone still needs to protect themselves. Seems to be managing to be a silver lining amid this dark cloud of where valuations head. From your perspective, where is some of the AI talent? Where is the stack? Is it interesting to be investing at the moment in terms of AI.
Absolutely.
AI is allowing computers who've always been chasing how to have computers think like humans and operate faster. We knew computers always had more storage than the humans, always had faster compute, but giving it the ability to learn and make deeper logical decisions. And what we're seeing with these language models now is really becoming more of an on rap to technology. It used to be to get into technology you had to program cards and give them to
a computer. You have to learn cobol, and there's all of these barriers. Now that you can just talk to a computer normal language and have no code and create websites and create software is opening up the playing field to a lot of people that have been underrepresented, a lot of people that have been overlooked, and so I think we'll see even more of emergence of kind of remote locations as people on board through through AI, and then it's allowing us to disrupt some traditional I would
call them boring industries. Right there's companies that we've invested in like Togo, who won the pitch competition here last year that's taken a traditional, boring industry of construction and applying software to it to help it be more efficient. We'll see more of that AI to go into traditional industries and helping them move faster and be more efficient.
Productivity is what it's all about. Paul, you yourself seasoned founder and then now into the world of investing, ensuring that it's more democratized. Are you seeing the amount of founders you want to see from diverse backgrounds. Do you think at the moment, with the macroheadwinds as they are, they're more enticed to go out there build their own company or not?
I believe that, you know, there's always been this desire with minorities to be entrepreneurial right to carve out their own path. And you've seen the numbers. Traditionally, the tech industry, unfortunately, was based on a close network. It was based on who do you know, and that wasn't very inviting if you're coming from a different background, if you're coming from
a different geographic region. One of the things that is a benefit of how the world is very distributed now is investors have to hop on a plane and hop on zoom. And I think we're seeing enough examples of great companies founded by women and founded by minorities that investors are now seeking them out. The numbers still have so much further left to go. Right At Panoramic, over half of our portfolio is founded by women, are founded
by minorities. We also partner with soft Bank on the Opportunity Fund, which is a twillion dollar fund dedicated to Latino and Black founders.
Yeah, that was a key player, certainly in bridging the gap between America Latin America in particular. Panoramic Adventures Managing partner Paul Judge, what a great person to have on today. We thank you in it. It really is just this focus on ensuring that we're looking at these pools of capital that are being built by diverse vcs and attracting diverse founders.
What he set out was really important the history of Silicon Valley was you had Stanford, you had the talent, They founded companies and the vcs move to them. What he's just explained is why the capitol is going to Miami because of what's there and the diversity of foundership.
That's on off a really interesting.
Time. It's running out to avoid the worst effects of climate change. That's according to a research note of published just yesterday by the International Energy Agency the IEA, which outlines that that after a short drop during the pandemic global carbon dioxide emissions, they rose to a new record high of thirty six point eight billion metric tons in twenty twenty two. And yet clean energy it's becoming more and more affordable and could potentially lower global warming, according
to the same report. For more on this, let's talk about the future of clean tech carbon capture, in particular, Springing Claude, his president CEO of carbon capture company It's funte It's just got fifteen million dollar investment from United Airlines also scored the biggest carbon and emissions Tech deal of twenty twenty two through on an eighteen million Series E was around led by Chevron Technology Ventures Claude. It's
wonderful to have some time with these. We look towards Earth Day coming up tomorrow, just how do you see deals with United how do you see more private market money allocation coming to solve what it is a very public need.
I think we lost claud which is a shame.
I'll go back to something I discussed the other day at Teconomy Climate and A did a panel and the point is that if you're a bench capitalist, right, you want to be investing in startups that can get the money the dollars from a the government and B those energy companies that have to diversify. And I think carry we asked our own audience that exact question.
Right, Yes, let's go to what we put out to Twitter, because it got people engaged with This is a global problem. It's also one that we all consider on social media an awful lot. And really the view was is research in particular is the time running out for the worst effects of climate change? And we don't want to politicize this, but actually, like thirty five percent said, no support is
actually needed in terms of government focus VC focus. Yes, we're on the right tracks as eleven percent, So that felt to me a little bit pessimistic. Only eleven percent out there think that we're on the right track in terms of funding for clean tech companies, but actually the large amount thing that no more support is needed. Does that mean they just think that enough is there already and the private sector can solve this.
I'm thinking about Bill Gates as an example. How long has he been talking about the need to focus on climate But one of the initiatives that he's doing out of Washington State and Seattle is to make it commercially attractive invest in things that make people money, so they're incentivized to get into that space if they're in lives.
The argument of impact investing isn't it This isn't about doing things without profit. It's about doing things for profit and actually talking about profit. There are some companies out there having to make some very difficult decisions right now.
Yeah, let's get back to Lift and look at shares of the company. Actually really interesting move, you know, basically flat now having spiked as much as five percent, issued a statement confirming a restructuring plan carrow. They will reduce headcount, but that's after the journal had reported twelve hundred jobs to be cut. They didn't give that number. But the key point, I think there will be no impact to the prior financial guidance that they gave now negative a tenth of a percent.
This is all about competition as well, isn't it. They're talking about the need to use those cost savings for basically competitive pricing for savings for you and I when we take a lift. Now, that's going to be probably quite difficult for the people who about to lose their roles to swallow. But this is about continuing to ensure that they can take uber on here in the United States.
But this is all about morale. How can a new CEO to the business be able to study a ship when also having to make such strassic cuts.
And when we spoke to the CEO a few weeks ago, he said the company is not for sale, but clearly he's putting a stamp on this company having just joined.
Meanwhile, that does it for this edition of Brittenbog technology yet?
Yeah, but stick with us.
Twitter spaces Caro coming up four minutes time. What a week it has been this is Bloomberg