>> i'm caroline hyde at bloomberg world headquarters in new york. >> big friday. this is bloomberg technology. >> full coverage of tech earnings from snapchat to amazon to pinterest, we've got you covered. >> we bring you my interview of intel ceo pat gelsinger, the company projecting a return to free cash flow.

>> how ai will impact hiring in the workplace. we discussed the ceo of lattice. from those privately backed companies to the public markets where we are more cautious around some of the big eco-data we got the drops on the inflation reads ahead of the fed next week. inflation still brisk in the united states. still brisk and europe. maybe trading down a little bit. nasdaq managing to punch up .3%. two year yield, two basis points lower. buying into u.s. bonds day, amid risk aversion. all lies on first republic. europe managed to push forward to the end of trading. crypto, seeing energy going up near 30,000 level. it does feel as though there is some safe harbor on the day. >> still focused on earnings

season. intel, we had two pair earlier gains, a tough first quarter you're at a trough on the top and bottom line. the outlook for the second half of this year, more rosy. we will hear from the ceo pat gelsinger later in the show about what the green shoots are adding the market confidence. social media, a big theme of this earnings season. snap usually reports earlier. it is later this quarter. first ever revenue decline and you can see how that is weighing on the shares. biggest drop in six months. pinterest failing to gain traction. particularly in the u.s. perspective. in this world of ai, we are worried about visibility. how is this relevant? amazon down 4%. this is about the cloud sequentially into april from the first quarter, aws topline growth slowing by 500 basis points. this has been the cash cow for amazon but has not come to the rescue this quarter. cost is up lynn on the top and bottom line, the strength of the e-commerce business and definitely there. the cloud more worrying.

>> it has been an important both driver. let's talk about it. pat view president and cofounder, someone who used to work at amazon. you were previously spending a decade at the company, helped launch the business. you understand the add product but focus on the cloud for a minute in particular. how worrying is this cash cow is turning to slow out in terms of growth? >> there is a couple of things. thanks for having me. glad to be back. 16% growth in aws is not anything to sneeze about. there is a couple of worrying things. i think one is eight of u.s. has been the leader. they have had 40% both a year ago, now is slowing. as you are in a google cloud, both group faster. another thing i think there are two other things that are concerning. one is, it is impacted by macroeconomics. amazon talked about how customers are looking to optimize their cost savings.

that is where we are seeing some slowing growth. on the ai front, one of the things chat gt are the market leader, microsoft has direct integration with them. that is one challenge for them. amazon did announce bedrock and their solution for microsoft copilot called co. whisper. the question is would be, how much adoption can they get of their integration to eight of u.s. given the fact chat dbt is leader? ed: foundational models for those who want to use third party titan within bedrock. the impacted machine learning on advertising. this chart shows added growth across the advertising based companies. amazon comes top of the pile. it is a bright spot. what is your read into that? melissa: my company sits on top of the amazons ads and it has been a great business for us.

advertising is highly profitable. this week, we looked at earnings across meta-, google, snap and amazon was way better than 23% growth whereas the others did not do as well. there is an interesting new partnership amazon announced, which is with pinterest. pinterest has been struggling. they want to monetize their pins. this is a win for amazon, this new partnership that will drive traffic to them. one of the other bright spots with amazon is, they have lots of -- they continue to add more placements, they are pushing more towards upper funnel and streaming tv. there is a big opportunity around not endemic. cars on amazon, you cannot leverage amazons audience. there is a lot of opportunity. amazon has great space to grow in the advertising business. ed: thank you so much. snap shares set for the worst day in six months off to her posting its first ever revenue to climb. joining us now is jazzman and

berger insider intelligence principal analyst. there was a phrase, continued disruption in demand in advertising. what is that? >> i think overall looking at snaps revenue decline, what we see it is has -- it has deep challenges within its ad business. there was a disruption in demand in a sense it is revamping its ad platform. it is unified. its ad formats to make it easier for investors. it is investing in machine learning. all of this is to provide more roi for advertisers. snap is right. these things take time to ramp up and impact its bottom line. for me, this issue runs deeper. that is that snap is a much smaller player then facebook or instagram. we saw meta come in with a 3% revenue growth in q1. snap chat is not a textbook ad supported platform the way those two players are.

it has been clear about itself, it is a messaging app and its users primarily use it for visual messaging and messaging apps are notoriously difficult to monetize. caroline: 383 million users daily. how did they end up trying to set themselves apart from not being a different brand, offering something different when it comes to vr ar? jasmine: that is something snap has been trying to do from the beginning. they positioned themselves as gen z -- as agency platform, calling it the snapchat generation. it has a strong hold on gen z. where it has struggled is being able to attract audiences outside of gen z, older audiences in particular. a lot of the things they are doing, particularly around ar, really do appeal to its audience. i would say convincing advertisers that ar in advertising is valuable,

especially in this economic environment has been difficult. it is working towards bringing ar off platform. it has a new augmented reality enterprise services division where it is incorporating its ar technology into brand apps and websites, as well as bringing some of that technology eventually in store. this of course as part of it never sending -- diversifying its revenue stream and being able to monetize ar outside of its core snapchat platform. caroline: all about monetization. jasmine, great to have time with you. from snap to pinterest, a look at how those shares perform. it is under pressure. it is more perhaps about the lack of cost-cutting going on in that particular business. the senior research analyst with a new rating, are you sticking with a $22 price target even though we are still seeing the pain trade in restructuring going on? >> sure. i think i lowered my price

target to 22. the good news is, pinterest has made strides on engagement. they found an interesting way to solve their monetization in e-commerce by partnering with amazon. the bad news and what i think is weighing on the shares in addition to your comments on cost pressure is there are sales expectations for the june quarter -- suggest they were lower than expected. the digital black market, when you look at snapchat and pinterest, it is challenging out there. ed: when we look at pinterest, when you think video and the emphasis from its peers, you think of artificial intelligence, there seems to be a narrative in the market pinterest is at risk of being left behind. do you share that concern? >> i do not to the extent if you say pinterest's functionality is as a visual, social network, an excellent place to view kitchens if you are thinking about doing a kitchen remodel or if you're

thinking of buying new clothes, i think they leverage artificial intelligence to the extent that they use artificial intelligence to find more things you might be interested in based on what you have looked at so far. i am not concerned about it being left behind. caroline: what, therefore, can pinterest run home to the investor base right now about how close it is to actual people making an investment purchase decisions? how can they continue to ultimately be a need to have for many of these companies looking to advertise a little closer? tom: here's where amazon comes in from an advertising standpoint. to the extent they are going to work with amazon to improve their advertising and e-commerce , make it easier for consumers to find things on pinterest, find ads on pinterest, click on those ads and buy them with amazon, i think that is going to help pinterest over the next 12

to 18 months. the challenge for everyone not being meta-platforms is monetization. pinterest has a large global user base. they need to improve their monetization. i think over time, the advertising effort with amazon will help. ed: tom forte, thank you so much. caroline, sprint finish to marathon week. stay with us, we will be talking to pinterest ceo four clock p.m. eastern, 1:00 p.m. pacific. we are going to continue our conversation around earnings and bring my interview with intel ceo, pat gelsinger. they just keep on going. this is bloomberg. ♪

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>> return to free klatt -- cash flow. analysts saying the worst now may be over for the comedy. moments ago i sat down with intel ceo pat gelsinger. have a listen. [video clip] >> the second half of our industry is typically stronger than the first half where we expect that to be the case. i a lot of inventory adjustments are occurring in the first half of the year, in particular we see those finished in the client, the pc industry. we are also seeing projects -- progress through our data center and cloud business, improving inventory position and that is typical of the industry. you go through a sharp decline. you have inventory, a lot of fixed costs and you gradually work through that. we see that as a second factor. the third is, and improving

product decision that improves our market share overall. that in particular, our data center business in particular, we have seen q1 is a turning point where a stronger product line, the market is looking at what we are saying for our process and product and say, that is better than we were expecting. seeing some of those positive shoots. maybe finally, at least parts of the world, china is showing economic strength as well. hopefully some economic green sheets in the second half, as well. ed: the turning point idea is interesting. there is a number of analysts that say intel has hit its trough when you look at margins in topline growth. is intel and its trough in your mind? >> we guided q2 better than q1. we expect second have to be stronger than that. from a topline growth perspective, but from a margin perspective, we expect similar margins in q2 but improving as

we go through the year. as we get out of the 30's and back into comfortably 40's as we go through the year. improving position on margins and improving position on the bottom line is we go through the year. clearly, we are seeing that momentum but i also say there is a lot of turbulence, macroeconomic uncertainty. it requires a lot of execution and financial discipline, which we demonstrated in q1. overall, i think the company is doing what i have asked them to be very thoughtful with how we spend, but execute, execute, execute. product, process, new areas like boundary. all of those gaining momentum as we go through the year. ed: intel ceo pat gelsinger there. caroline: really fascinating conversation overall. the focus on chips, which have been a lag over the course of the week. we have got to dig in more about intel's earnings and the chips sector more broadly good bloomberg intelligence -- is there worth behind us to that

extent? >> i think it was interesting they said pc market is stabilizing and they call for a 270 million units for the year. my sense is, inventory situation is still not clear in terms of the channel inventory clearing. they sounded a lot more optimistic, so you have to take their word because intel is the largest player. on the client -- the client side, we have less competitive issues than on the data sector side where we know the demand is high for high-performance computing chips. we have seen expectations for nvidia. clearly, intel has more secular -- on the data center side than client side. maybe cyclical whether it comes back in the second half or it takes two or three more quarters, i think we still have to figure that out. ed: i think he said he was confident inventory would be correct and it would be completed. though he did not say when definitively. pat is trying to sell this story

that intel can return to being a technological leader. you see evidence he is managing that process well while also catching up on the day-to-day of running a chip company? mandeep: look, turnaround stories in tech are tough. he has a tough hand. this quarter, intel actually had -$9 billion in free cash flow. that goes to show what he is dealing with in terms of the fab aspect of it, catching up and really dealing with the data center headwinds i alluded to before. a lot i think depends on the government and the chips act because that is where things can be supported in terms of driving more on shore manufacturing job chips. the free cash flow headwinds can be eased and can be more dealt with down the line as opposed to convincing investors that intel

was to keep losing money for the next two to three years. ed: caroline, as you can imagine, i could not resist the temptation and i asked -- we asked a question about artificial intelligence. caroline: and it seems as though that has got to be an area they focus on. mandeep, your point we are looking at amazon developing chips to help with that capacity needed with generative ai. his this something intel has to be a part of and are they a significant part of it? maria: that is the challenge. mandeep: that is the challenge. they all want to do their own chips. google is doing their own teepees. amazon, microsoft -- they are doing their own chips. that is the challenge for somebody like intel, which is the leading market share leader when it comes to the data center chips. now, they are partnering with -- we know intel is x86. it is not very clear they have that technology now to get more

enterprises at least in terms of joining the ai side of things. nvidia at the same time is running away that the market -- clearly a lot of competitive pressure and there are not enough proof points in terms of manufacturing coming back. that government support is key. they have to start sharing that manufacturing. caroline: take us there, the bait you laid out. what did they say in terms of ai? ed: mandeep was committed to competing with nvidia at hiring gp use for the deep learning part. really there intel is looking at is inference, they have a range of cpu range products they think can compete there. the chips act, pat seems confident those dollars low through this year. how crucial is it for them to get that public-sector money to drive that vision that pat has? mandeep: i think that is key,

because the more these are underutilized, it is going to be a drag on the gross margin. we have seen that 15 percentage points in gross margin compression in the last two to three quarters. the lower utilization for these, it is going to continue to pressure that. if he gets that funding and if he gets something tangible from the chips act, i think that will ease that pressure. also, the entrance market is -- insurance market is running away from them. apple does its own chips for its pcs and macs. that is a lot of -- intel really wants to make sure that x86, the windows system stays with them on the appliance side. caroline: always great to have time with you. the one and only mandeep singh. coming up, we've got to talk about that bitcoin scam, a moon landing crash, so much more in talking tech. this is bloomberg. ♪

ed: time for talking tech. u.s. -- south african executive to pay more than 3.4 billion dollars in restitution and fines for a fraud scheme involving bitcoin which impacted more than 23,000 people in the u.s. this is the highest ever civil monetary penalty in any cftc team case. moon land crash wiped out 600 million dollars, almost half of the tokyo-based startups value with shares slumping for a third straight session. sony casting down on its playstation momentum paired the company offered a conservative profit outlook after warning about the impact of the global consumer spending slump on its electronics and entertainment business. bain capital has built a stake

in software ag raising the prospect of a takeover battle for the german company. that according to sources. the firm is eyeing a potential merger with its own portfolio firm rocket software. coming up, how ai is going to impact hiring and managing in the workplace. we discussed that and more with leftists ceo jack allman, that is next. caroline: later, shares of first republic bank. we've got to talk about it, plunging to a record low triggering volatility elated halts on the day. news of potential rescue plans swirling, thinking about how the trouble might be rescued. fbi see government coming into play. looks as though the banks have shied away from this deal. ed: i think the question we have is, right now, after several days of drama reporting, why have we not heard from anyone? there is not a lot coming out of the bank or the government. i think that is a big question for investors. caroline: it is important that

this one is not seemingly not nearly as worrying from a systemic perspective. this seems to be we look to long into outsized mortgage to the wealthy -- ed: big names have stepped in and stemmed the gaps. they are worried about -- sonali basak knows everything about every bank at any given time. caroline: from new york, from san francisco, this is bloomberg. ♪

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caroline: welcome back to limerick technology. ed: it is the final trading day of april. nasdaq 100 outperformance up 4.5% relative to other specific areas in the technology space. philadelphia semiconductor index , one lag. it has been an interesting month because of the banking concerns we have had. a really condensed period of earnings in the final 10 days of april when it comes to the technology sector. it has been a mixed bag. megacap's n.y.c. bank cost index, u.s. distant shares in chinese tech companies sprinkled

in there. nasdaq golden dragon index is a clear lag in the month of april. geopolitical concerns have ramped up in that period between the u.s. and china. in the moment during friday's session, cloud is a big concern. we have been talking about how amazon is down because of the commentary around sequential decline in growth at a ws. cloud, that is a big drop for that name trade all cloud related, there are concerns about growth, structural issues. one name we do not often cover up -- come up with that is a steep drop. caroline: let's get straight to it. we have been talking about the banking sector. san francisco-based linder has struggled to navigate through the aftermath of failed silicon valley bank and two regional mentors -- lenders in march. sonali basak has been -- the volatility, the pausing, what is the latest?sonali --

sonali: it is a live situation and can best be described as a frenzied, last-minute effort to save the bank. whether it falls into fbi see receivership -- fdic receivership, this could limp along as a blank -- as a bank with a clear hole in its balance sheet. at this point, we have reported a few times now that some banks involved in the rescue have -- prefer and fdic receivership. the fdic deposit fund has taken a massive hit of more than 22 billion dollars tied to the rescue of two prior banks, two failed banks. this whole is a $30 billion hole and been some. the exact amount is not quite understood. it is a large one. no matter what happens to this bank, it is a costly situation for the banks that are in and around the situation already.

the government itself and of course for the shareholders that are remaining for fric. ed: i think the idea is the investors are struggling to understand what are the many possible scenarios is most likely to happen? there was talk in the market that now a u.s. takeover is the most likely outcome. sonali: that is what i was trying to convey. this is very much a search for things to come together. getting a consortium of people to come together is a difficult thing to do. remember, we have reported multiple times that the government would need to be involved in such a manner and pony up a little bit. under thefdic receivership plan, the issue is which is a more costly solution. they would take another massive hit if frc were to fall under receivership. the market is trying to sell us out the most likely outcomes.

this -- you cannot say this bank will necessarily fail. it is not to that point yet. but, it is possible that it does get to that point in some scenario if they do not find a solution. ed: shelley bass that, you have earned your -- sonali, you have earned your weekend. let's pivot. can i -- can ai replace our jobs? that is something caroline and i have been asking. the rise of ai, it may not expect to impact all jobs in the same way uniformly, but there is going to be an impact on hiring and managing in the workplace at large. that is according to the sea eo of lattice -- ceo of lattice. how many times a day internally do you say be words artificial intelligence, or our music of it because you have been doing it for a while -- are you sick of it because you have been doing it for a while? >> i do not get sick of it. i think it is the most important

topic in tech right now. i think is still a lot to be understood, but i think we are seeing a lot of ways in which ai is starting to impact companies, individuals, productivity. i think finally after many, many years of people anticipating this, we are here and seeing impacts. it is exciting. i am not sick of it. ed: gladys is interesting -- lattice is an interesting example. raised new funds at the beginning of the year. you are a key example of where ai talks can be applied in enterprise. why is that a good marriage? jack: the way i have been thinking about large language models, which is the thrust of what has been happening in the last couple quarters and ai, is like what calculators did for math. i believe large language models are going to do in many ways for things like reading and writing. they are going to make people much more readily able to digest and comprehend text and

information. we are able to help people draft concepts. for example, in the lattice world where people are doing a lot of writing around performance reviews, goals and feedback, there is a lot of ways in which ai can help people get to good answers and good content more quickly. i see this as boosters for people in the way calculators did for math. i see that happening for reading and writing. for companies like lattice but for tons of enterprise software, this is going to be one of the ways we cai help people. caroline: your entire business is hr tools, insufficiency, its culture. you have personally had to navigate that in january, having to let go of people within your team and trying to think about how you can support them. is ultimately this generative ai and ai going to mean more people get let go because they can be replaced in some way? jack: like you mentioned at the beginning, we are definitely going to see different industries and roles be impacted

in different ways. in my view, it is most likely that ai is not going to reduce the demand for labor. i think it is going to increase the demand for labor. dinner late what we see when any asset in the economy becomes more productive -- generally what we see when any asset is -- more companies are going to want to hire that person because they are able to produce so much more. in my view, the lynn should be we become more productive and therefore, there is going to be more demand for labor free companies. caroline: thinking about lenses and ai is something you are doing a lot of. sam previously is at the cutting edge of where we think ethically generative ai can be built. do -- are you on the optimistic side, are you thinking in general we can harness the productivity, we are not going

to have worries about regulating this or this developing too swiftly for humans? jack: i am optimistic about ai. i tend to believe it is going to be wildly exciting and positive for the amenity. i -- and positive for humanity. i think it is smart to be paying attention. i think it is something that requires care and attention. that is why i think have been companies with thoughtful leaders that want to invest in ai safety and making sure we are testing things before we release them to the world and are working hard on alignment, i think those things are critical. the way i see it, this has potential to be one of the most amazing things for humanity. i think investing in it, hopefully optimistically with a lot of conviction and desire to build that world is the right mindset. being careful because this is a potent technology, i think that matters. ed: jack, founders across the

country are considering how they can become relevant or not ms. the opportunity ai presents. i know you have been tweeting about things the founders have been getting wrong. how hard is it out there right now is the question? you raised more money at the start of the year at a significant higher valuation at a time where others were doing the opposite down rounds. jack: i think it is a challenging time for founders in some sense relative to the last couple of years. separate from this whole ai acceleration, which is exciting, on a unrelated path, we have had this real, economically challenging time for tech and specific we have had this happen -- tech stocks in the public market has suffered. that has led to hard times for status. you have two things going on

simultaneously. the world of investing and raising capital for start ups has changed. we have this exciting platform shift and a new technology being developed around ai. we are seeing more startups being built with these concepts in mind. i do not think most startups should say, ai is an entire concept for building a new company. any idea you had two years ago, i think now you can re-ask the question in what ways does ai help solve this problem for customers? it is a misunderstanding of the moment to say i am going to build ai and see what happens. i think you need to build companies rooted in solving real problems for real people. ai can help in a large number of cases. caroline: let's talk about the problems lattice is solving. they are trying to help make people more efficient, workers be more productive, ensuring your workflow becomes one you get feedback more efficiently

about. are people wanting that at the moment? you have 5000 customers, is that still building in this environment? jack: yeah, i think what people want -- there are things individuals want and companies want. i think there is a deep alignment when management has done well. i think what individuals want is, they want a sense of impact. they want to understand their company and manager cares about them. they want to be a part of a team doing something important and want to know how they are able to grow. companies want us to build strong cultures of people equipped to do great things and drive the business forward. i think what lattice strives to be is this intersection of those where you find that individual and company alignment to such a degree that those things are incredibly in harmony. i think whether we are in the moon times of 2021 or the new paradigm of 2023, i think those principles hold no matter what. for lattice finding the ways to

do that for customers is still the northstar. caroline: ceo of lattice, we thank you. appreciate your time. coming up, we talk more about ai and all sorts of matters. wing venture capital backing a new startup that is new york-based valued at $750 million. more on that, next. this is bloomberg. ♪

ed: we were just talking about generative ai and its impact on the workplace. we have been talking about generative ai and the arms race in tech all week because at the core of earnings was artificial intelligence. speaking of big players that

reported numbers, we saw -- who has won for you? who has made the most convincing case they are leading in ai? those numbers speak for themselves. caroline: microsoft with their tie out being integrated in ai's chat gpt for the fact they are managing to brag about quadrupling in app downloads they have, -- still in the march on this. overall, more than 200 times ai was mentioned in these earnings calls this week alone. they are all trying to steal limelight. meta did a good job too. ed: i did a count on the blogs of how many times ai was mentioned in each earnings. that is the kind of guy i am. we will come back to that. speaking of ai, pinecone, a startup whose platform supports ai software just raised $100 million in a funding round and values the company had around $750 million. the round with participation

with existing investors and wing venture capital. let's bring in wing venture partner jake for more. the round, the timing, the valuation. explain your rationale behind getting involved. jake: sure. thank you for having me on the show. we have been involved with this company for a long time, certainly before the rapid adoption that we have seen as of late. it fundamentally has to do with the types of things that you need for machine learning. most relational databases, most data warehouses need data that most people understand numbers, text, things like this. machine learning algorithms operate on vectors and beddings, a different type of data that needs a different type of database. if you are building a generative ai startup or a generative ai application and want to marry that with your own companies data or want to remember things from one question to the next,

you need a vector database like pinecone. with the rise of generative ai applications, we are seeing more people adopt pinecone. pinecone is a early company. no public market metric is going to say, justify this valuation. this is a valuation based on the potential, the database for ai that is a term in going forward. caroline: new york-based company. what is interesting about your background and the fact you have been investing in these companies for a while now including pinecone is, you are trying to have an expertise how you operationalize ai. this is the core of our conversations. everyone is trying to work out where and the stack that has the most value to had purity were about infrastructure, big companies applying ai, where do you lie in terms of where the most instruction will be? jake: we invest in early-stage companies. we believe they are going to have an outside portion of the returns. we invest up and down the stack. we have made investments in

semiconductor companies. the first group of companies on the core infrastructure. you see the cloud vendors that are making money, hosting some of these foundation and large language models. in the limit, and a lot of these things are new pieces of infrastructure and the way we turn to cloud vendors we mentioned, we are going to turn to ai foundation model vendors for some of that technology and some are partnering up. we are most excited about the applications on top. there will be a few winners and -- in each of those lower levels. there will be thousands of opportunities to build interesting applications powered by ai. ed: jake, i am hearing a lot of companies similar size to pinecone trying to get rounds done early through gross stage. how wary are you of open ai? open ai has a small fund that it is investing across startups and ai and those that it is deploying our own technology. jake: i would say we are not

worried at all about open ai as a source of venture capital. there is lots of dollars and certainly open ai has a bunch of things that can bring to bear. we work with companies that the -- at the early stages on the company -- journey, which is a hands-on endeavor that takes a lot of time and energy and i think there is a role for people that have been doing that for a long time. in terms of open ai as a competitor, absolutely. as a competitor, it is something to watch. it is likely cloud vendor landscape. we do not think it is a winner take all. we think it is going to settle into a small number of larger foundation model players. we think it -- we will use it as infrastructure, they are a building block, enabler. caroline: they've got a lot of experience. thank you very much, jake. great to have you. from new york and san francisco, this is bloomberg. ♪

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caroline: from coachella livestream to having influencers belt out the spiral song, youtube seems to be looking for new ways to bring music to the masses despite tough competition in the digital space. youtube's global head of music spoke to us earlier. [video clip] >> we are a global platform and

we are focused on -- our mission is, give everybody a voice and show them the world. boy, have we done that. we have gone from three stages where we livestream to six stages. we have introduced shorts as a really fun way for the kids to suggest their favorite artist to do some of their songs that they want. they are influencing the sets. they are able to be and create lightweight, short form video to explain to the rest of the world that they were there, they were enjoying the experience whether they were at coachella or experiencing from their living room. we introduced -- it is actually the second year where shopping

has been an integral part of the experience, where kids are able to buy merchandise and rock their t-shirts that they were there, they experienced it. of course, the production has gotten so much better. we introduced live chats. there is a lot of work that goes into it, but it has been an incredibly fun and enjoyable. >> tell us about the international focus. it was interesting with the lineup this year, there were big american artists, but i am thinking black pink, bad bunny, these are international stars. how much was the viewership coming in internationally? >> over 65% of viewership came from outside of america. when the fans are able to experience nigerian burna boy, korean black pink, i do not know

if you saw but rosa leah shut the place down. she is from spain and was one of the most moving performances. we had the first job he -- pu njabe performance. the fact they have an indian artist on coachella. it is fabulous to see. caroline: the global head of music at youtube. he is like the man almost that help drive the birth of hip-hop and he was there and signed run dmc. he is optimistic about ai's impact on music. ed: you and i grew up in the mtv era, video and music. how do you push it forward? it is fascinating. caroline: his artists don't seem to be worried about ai for now. ed: so much to recap. do not forget the podcast. join us on twitter spaces right

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