Results

Airbnb CEO: GenAI's impact on app experiences minimal so far

Airbnb CEO Brian Chesky said the generative AI is improving at a rapid rate and boosting efficiency, but its impact on applications will take a lot longer than expected.

Speaking on Airbnb's second quarter earnings call, Chesky was asked about how generative AI is changing experiences.

Chesky said the enthusiasm for generative AI has surged since OpenAI launched ChatGPT in November 2022. "When it was launched you had a feeling that everything was going to change. I think that's still true. But I think one of the things we’ve learned over the last say 18 months or nearly two years since ChatGPT launched is that that’s going to take a lot longer than people think for applications to change," said Chesky.

The Airbnb CEO outlined how the AI boom has revolved around infrastructure as well as large language models. The application layer has largely been untouched by genAI.

Chesky said:

"There has been a lot of innovation on the chips. There has been a lot of innovation in the models. We have a lot of new models and there's a prolific rate of improvement in these models.

But if you look at your home screen which of your apps are fundamentally different because of the AI? I think it's just going to take time to develop new AI paradigm. ChatGPT is an interface that could have existed before AI.

All of our paradigms are pre-AI paradigms. There has not been one app that I'm aware of at the top 50 app in the app stores in the United States that is a fundamentally new paradigm and as fundamentally different as multi-touch was to the iPhone in 2008. We need that interface change. So that's one of the things that we're working on."

Chesky said that Airbnb will be more than a search box where you type destination, dates and find a destination. Airbnb's app in the future will be much of a travel concierge that has conversations and can adapt to you.

"It's going to take a number of years to develop this," said Chesky. "It won't be in the next year and it's going to just take a bit more time. A new interface paradigm would allow us to attach new businesses."

An index of the world's communities and planning for a trip end-to-end would enable Airbnb to cross-sell inventory including hotels. "There are opportunities down the road with this new interface," said Chesky.

Airbnb's third quarter outlook was light following second quarter earnings. The company forecast revenue to be between $3.67 billion to $3.7 billion, compared to Wall Street estimates of $3.84 billion. Airbnb said it is seeing slowing demand from US customers and shorter booking times globally.

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Supermicro sees fiscal 2025 revenue of $26 billion to $30 billion, up from $15 billion in fiscal 2024

Supermicro said it expects fiscal 2025 revenue between $26 billion and $30 billion, well above expectations, as the company sees the genAI building boom continuing.

The outlook from Supermicro landed along with mixed fourth quarter results. The company reported net income of $353 million, or $5.51 a share. Adjusted fourth quarter earnings were $6.25 a share on revenue of $5.31 billion, up more than 100% from a year ago. Wall Street was looking for earnings of $8.14 a share on $5.3 billion in revenue.

Supermicro also announced a 10-for-1 stock split.

For fiscal 2024, Supermicro reported net income of $1.21 billion, or $20.09 a share, on revenue of $14.94 billion, up 110% from a year ago.

As for the outlook, Supermicro projected first quarter revenue of $6 billion to $7 billion with non-GAAP earnings per share of $6.69 to $8.27. For the fiscal year, Supermicro sees sales of $26 billion to $30 billion.

Charles Liang, CEO of Supermicro, said the company saw component shortages in the fourth quarter. That revenue will shift to the first quarter. The shortages cost Supermicro about $800 million in revenue in the fourth quarter. 

Liang said Supermicro is transitioning to become a complete data center provider to address "record demand of new AI infrastructures." He said Supermicro will grow due to rack-scale DLC liquid cooling expertise and its new Datacenter Building Block Solutions. Liang also said it is expanding its footprint in Malaysia and Silicon Valley as well as its supply chain.

Speaking on a conference call, Liang said the company saw component shortages in parts needed for hyperscale data center buildouts.

"Supermicro is powering the largest AI factories around the world today," said Liang, who said the company is targeting 25% to 30% of new global center deployments with liquid cooling.

Supermicro has 5,000 racks in production per month now and more than 2,000 direct liquid cooled racks. 

Liang said the company is "seeing a lot of customer engagement" increasingly from enterprises. Supermicro also will have capacity starting in Malaysia and is improving its manufacturing efficiency.

"We will continue to grow with large customers. At the same time, we also continue to enhance our enterprise customer base," said Liang. He noted that Supermicro can gain share in liquid cooling systems and that component shortages were the norm when new technologies are introduced. 

Key items of note from the Supermicro fourth quarter:

  • 70% of revenue across enterprise and cloud service providers were next-gen air cooled and direct liquid cooled systems for AI infrastructure.
  • Shipments may continue to be constrained in the short term by supply chain bottlenecks for key new components.
  • Supermicro is scaling up production in Malaysia and Taiwan and expanding in Americas and Europe.
  • 61% of revenue in the quarter was attributed to the US.

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Uber Q2 boosted by algorithm improvements

Uber reported better-than-expected second quarter results and credited "algorithmic improvements" for better unit economics.

CEO Dara Khosrowshahi referred to algorithm improvements and how they were driving better economics and customer experiences. Although Uber is known for its delivery and ride services, it is really a data company that can extend into multiple markets.

Khosrowshahi said:

"We continue to fundamentally improve unit economics as we lower cost per transaction through algorithmic improvements and more efficient batching; grow advertising revenue; increase multi-product usage; improve promotion efficiency; and deliver fixed-cost leverage. Every one of these levers has a specific technical and operational roadmap behind it that remains promising, allowing us to generate profits that we can reinvest back into growth and service quality, while improving margins. This operational formula is working incredibly well and has years of runway ahead of it."

Uber reported second quarter net income of $1 billion, or 47 cents a share, including a $333 million profit due to equity investments. Revenue for the quarter was $10.7 billion, up 16% from a year ago. Wall Street was looking for second quarter earnings of 31 cents a share on revenue of $10.57 billion. It's unclear whether estimates included the equity gains for the quarter.

By the numbers for the second quarter:

  • Uber's monthly active platform consumers were 156 million, up from 137 million a year ago.
  • Uber completed 2,765 trips in the second quarter, up from 2,282 a year ago.
  • Mobility revenue in the quarter was $6.13 billion, up 25% from a year ago.
  • Delivery revenue was $3.3 billion, up 8% from a year ago, and freight revenue was flat at $1.27 billion.
  • Uber advertising exited the second quarter at a revenue run rate topping $1 billion.

As for the outlook, Uber projected third quarter gross bookings of $40.25 billion to $41.75 billion, up 18% to 23% from a year ago, with adjusted EBITDA of $1.58 billion to $1.68 billion, up 45% to 54% from a year ago.

Going forward, Khosrowshahi said Uber is focused on launching new services on its platform including Uber Caregiver, scheduled UberX Share rides and Uber Shuttle.

Examples of Uber's algorithm improvements include:

  • New price matching algorithms that improve reliability at airports with landing notifications, clear directions and improvements on in-app experiences.
  • More efficient batching of rides and multi-product usage.
  • Managing utilization of autonomous vehicles to smooth out weekly trends.

 

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HOT TAKE: Federal Court Rules Google Guilty; Maintained Monopoly in Ad Market

You don’t have to read far into the filed documentation in the case of the United States of America v Google LLC. You get the big picture by page 4: Google is a monopolist.

The History:

In 2020, two separate lawsuits had been filed against Google, specifically one by the US Department of Justice and another by the State of Colorado. But that’s not to say that every antitrust watchdog, every state’s Attorney General and a raft of legislators and regulators were not already deep into proposed complaints and actions against the search and advertising giant.

The lawsuits alleged that Google had violated Section 2 of the Sherman Act that makes it unlawful for any person to “monopolize, attempt to monopolize, or combine or conspire with any other person or persons, to monopolize any part of the trade or commerce among the several States or with foreign nations…” The section continues to define Monopolization requirements specifically as “(1) monopoly power and (2) the willful acquisition or maintenance of that power as distinguished from growth or development as a consequence of a superior product, business acumen or historic incident.”

While discovery in the case began in late 2020, the bench trial itself did not kick off until September 2023 with closing arguments in May 2024. Throughout the plaintiffs alleged that Google held and illegally maintained a monopoly in three markets (General search services, search advertising, and general search text advertising) by entering into exclusive agreements to secure default distribution on desktop and mobile devices.

The Ruling:

Judge Amit Mehta ruled that Google was a monopolist, but more specifically, Google acted as one to maintain this monopoly in two product markets, general search services and general text advertising, and entered into distribution agreements that are exclusive and have anticompetitive effects in these markets. The court also found that Google exercised its monopoly power by “charging supracompetitive prices for general search text ads” allowing “Google to earn monopoly profits.”

While portions of the full ruling do come down in favor of Google, excluding search advertising as a relevant product market and noting that Google was not required to work with or create deals with specific competitors or vendors in markets, the words are in literal black and white that Google is a monopoly with general search and text ads, resulting in a marketplace where Google has created and maintains its status as the only viable game in town despite the supposed availability of competitors.

Analysis:

For those who have been playing along with the bench trial and the release of evidence packages, this has all felt more like the boring draft of a Succession script than what is typically a rather boring straight forward case of antitrust arguments and evidentiary exchanges. From text exchanges about toggling speeds and results to convince market watchers new programs were designed to “help the little guys” while not making any substantive changes to the results or the ability for the “little guys” to beat out large advertisers in text ad auctions to the public airing of grievances between giants like Apple and Microsoft, this case has been bingeworthy and cringeworthy all at the same time.

It is of note that Google has consistently increased prices of their solutions, especially the text-based advertising units, while conversion rates have continued to decrease. In a 2024 report from LocalIQ’s investigation into search advertising benchmarks, while average conversion rates had dipped from 7.85% in 2022 to 7.04% in 2023, cost per lead (CPL) had increased by about 25%, click thru rate (CTR) had increased by about 5% and cost per click (CPC) had increase by 10% across all industries. In their report findings, the question was asked as to what Google could possibly be “tuning” to “keep finding ways to justify higher prices despite not delivering equally greater returns.”

While guilty headline of this case is a whopper, the reality here is that this trial was about liability, not about consequence or remedies. That phase of proceedings could bring anything from slaps on wrists and demands to stop doing naughty things to requirements to break-up the search business entirely. But it will certainly not bring the end to Google.

The bigger news here is that this is just ONE case…and an early one that will likely serve as precedent for multiple antitrust cases the DOJ has lined up against Google and many others. Next up for Google is the massive advertising technology case that is set to kick off in September, 2024, United States of America v Google, LLC, in which the DOJ alleges Google monopolized multiple digital advertising technology products via serial acquisitions and anticompetitive auction manipulation to subvert competition. Amazon, Apple and Meta are all facing their own lawsuits from the government as wel, making this ruling an important guidepost for how these cases may be defined and adjudicated in the future.

But What About AI?

The crux of Googles defense was that competitors in each market has had the opportunity to compete and innovate. AI and especially the power of generative AI holds and its possible shakeup in the world of search was brought up several times in evidence and at trial. However, the court and the experts brought forward by the government said that while AI has made leaps and bounds, the standard bearing technology and processes deployed in search specifically have not made any meaningful impact or improvement in results.

“Despite these recent advances, AI has not supplanted the traditional ingredients that define general search…And it is not likely to do so anytime soon. Importantly, generative AI has not (or at least, not yet) eliminated or materially reduced the need for user data to deliver quality search results.”

In other words, yes, AI and generative AI is a massive search opportunity...but as of the time of this ruling that oppportunity is more of an experiement wrapped in a wish than anything that could have subtantively aided the competition to make any gains against Google.

Does This Matter?

As for immediate backlash or impact on Marketers, this is a wait and see moment. The ruling has a long way to go before it actually DOES anything to Google, its business or how advertisers buy and do business with Google let alone its competitors. The biggest impact the case may have is in how an Act passed in 1890 is applied to how antitrust and market monopolization is addressed a distinctly twenty-first century digital world.

Google for its part has already shared its intention to appeal the decision, stating that they should not be penalized for making the best search engine available. So now, we hold on until the remedy phase of the proceedings…and of course all the additional legislation that could not just change the digital advertising and marketing landscape forever. Keep an eye open for how acquisition rumors spread as these cases progress...especially those rumors where both supply and demand sides of markets become intertwined (yeah...looking right at you Hubspot acquisition rumors) and how these upcoming cases could bring the lengthy dance with cookies is entered into evidence. All of these moves could also apply new and interesting pressure to the non-advertising revenue drivers of business at Google to start to answer the hypothetical question of what comes next after a breakup? Where will the next massive wave of revenue come from?

 

 

Image Credit: Image has been AI generated using Adobe Firefly Image 3 model.

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Palantir Q2 shines as US enterprise growth accelerates, eyes manufacturing, ERP with Warp Speed

Palantir reported better-than-expected fiscal second quarter results as it posted 55% growth in its US commercial business.

The company reported second quarter net income of $134 million, or 6 cents a share, on revenue of $678 million, up 27% from a year ago. Non-GAAP earnings were 9 cents a share.

Wall Street was expecting second quarter earnings of 8 cents a share on revenue of $652.4 million.

US commercial revenue in the second quarter was $159 million, up 55% from a year ago. Palantir has leveraged boot camps and pilots to land enterprises for its AI platform. Palantir now has 295 US commercial customers.

Commercial accounts are critical for Palantir as it expands its base. Commercial revenue in the first quarter was $307 million, up 33% from a year ago. Government second quarter revenue was $371 million, up 23% from a year ago. US government revenue accounts for the bulk of Palantir's government sales.

According to Palantir, the company closed 27 deals over $10 million in the quarter.

As for the outlook, Palantir projected third quarter revenue between $697 million and $701 million with adjusted income from operations between $233 million to $237 million.

Palantir also raised its 2024 fiscal year outlook and projected revenue between $2.742 billion and $2.750 billion with US commercial revenue of $672 million, up about 47%. Palantir added that it expects adjusted operating income for the year to be between $966 million and $974 million with net income in each quarter.

In a letter to shareholders, Palantir CEO Alex Karp said the company is focused on growing its enterprise software business. Karp said:

"A premium was placed on developing software products whose principal purpose was to sell themselves. And a perception of value became more important than value itself. The rise and increasing sophistication of artificial intelligence capabilities have exposed the extent of dysfunction within enterprise software deployments. This was the era of thin technology and the abandonment of any real interest in results.

Those companies, however, are now being swept to the side. They attempted to seize the cultural and moral high ground at the expense of anything resembling a commitment to outcomes. And society, not to mention customers, have grown disinterested in their theater."

Palantir as ERP fix?

Speaking on Palantir's earnings conference call, CTO Shyam Sankar said the company will launch a new offering called Warp Speed "to power American reindustrialization."

The Warp Speed effort will be focused on manufacturing, said Sankar. He said:

"The software playbooks have also failed in manufacturing, and all the founders driving reindustrialization know it. This is why SpaceX built their own ERP. We created Warp Speed from our years of experience on the factory floors, helping customers build planes, trains, automobiles and even ships. Today we power production of jet engine satellites and weapon systems in the industrial base. Warp Speed built on AIP and our industrial AI and with ontology is the modern American manufacturing operating system that reimagines how to bend atoms better with bits. 

At the dawn of World War Two we didn't have a defense industrial base. We had an American industrial base. Chrysler made missiles and General Mills wasn't just a cereal company. This is also what our future must look like. It is clear that the nation must reindustrialize and mobilize at warp speed to win." 

Palantir's plans with Warp Speed are notable given the flux in the enterprise software market. 

Sankar explained Warp Speed and where it hopes to fit in with the ERP space. Sankar said Warp Speed will touch on ERP, but also product lifecycle management (PLM) and other components. Sankar said:

"I think the kind of congenital defect for ERP is that it was designed historically in the '70s for the CFO. Why would you do that? If you were starting over today, you would build software that was designed for the head of production that was focused principally on production and then integrate with your extant legacy systems 

I think the big opportunity is to go to the big legacy manufacturers and you say 'this sounds crazy.' If you go to new manufacturers, the one that are powering the reindustrialization of the country, they all know this. They also know they can't afford the 300 engineers it would take to build this completely from scratch, or the time it would take to do that. So there's this very powerful role of taking AIP building the applications on top of it.

We live in a world today where it's $1 of license for $9 of implementation. That never seems to quite work. Who is really happy with the implementation of these systems?"

Other takeaways

Here's a look at some other takeaways from Karp's letter that were reiterated on the conference call:

  • He said large language models (LLM) as they stand today lack enterprise value. "The large language models that have transfixed the world will only be capable of transforming the work of a multinational business or a defense agency’s operations if their power is unleashed within the context of an enterprise software system that has an opinionated view of the world—its idiosyncratic objects, logic, and physics," said Karp, who added that data ontology is critical.
  • "The persistent and unbridled demand for our software, for an effective enterprise platform that makes artificial intelligence capabilities useful to large institutions, shows no sign of relenting," said Karp. "The right software properly wielded can and should transform an institution. And it is that ambition that has won over not only our existing partners but that of an entirely new cohort."
  • Palantir had 295 US commercial customers, which now accounts for half of the total number of customers.
  • Trailing 12-month revenue in Palantir's US government business topped $1 billion.

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CrowdStrike to Delta: Don't blame us for your IT outage response

CrowdStrike's legal counsel said in a letter to Delta Airlines that it isn't to blame for its "decisions and response to the IT outage."

Delta Airlines said it would sue CrowdStrike for $500 million in damages after an update led to a global IT outage involving Microsoft software. Delta CEO Ed Bastian told CNBC that it has no choice but to sue CrowdStrike for damages. CrowdStrike CEO George Kurtz has been called to testify before Congress about the outage

In a letter to Delta sent to the press, CrowdStrike external counsel said that if the airline pursues the lawsuit it will have to explain how failed to respond well to the IT outage.

CrowdStrike counsel said that Delta turned down or didn't respond to help from the security vendor. Delta will have to also explain "why Delta competitors, facing similar challenges, all restored operations much faster" as well as its actions in response to the incident.

In addition, CrowdStrike noted that its liability is contractually capped "at an amount in the single-digit millions."

Add it up and CrowdStrike said that Delta's IT infrastructure and resiliency is also in question. CrowdStrike demanded that Delta preserve all records and communications related to the response.

My take

We've seen these scathing letters between customers and vendors before--usually in ERP failures. Usually, these lawsuits are settled out of court because the trials are messy. Here's the unhappy triad: Vendor, customer and systems integrator. The three parties all blame each other and it's a bad look for everyone.

The CrowdStrike-Delta battle will also be settled out of court, once it's clear that the public back-and-forth benefits neither party. For CrowdStrike, the forceful response is designed to prevent other customers from suing.

What remains to be seen is the following:

  • How much of the CrowdStrike-Microsoft outage is covered by insurance? Probably not much.
  • If CrowdStrike liability is capped in each customer contract, what is the total sum across the customer base?
  • What is the long-term fallout to CrowdStrike's brand?
  • How difficult is it to switch cybersecurity platforms?
  • Are the resiliency issues surfaced by the CrowdStrike outage widespread beyond just one vendor?
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Enterprise software vendors shift genAI narrative: 'GenAI is just software'

Enterprise software vendors haven't been thrilled about the narrative that they aren't directly monetizing generative AI so the narrative is subtly being flipped.

With Wall Street analysts increasingly scrutinizing capital expenditures over generative AI without direct monetization, Microsoft CEO Satya Nadella and CFO Amy Hood shifted the argument a bit. Enterprise software vendors needed to bring some nuance to the genAI conversation since they haven’t benefited from it.

Instead of looking at direct genAI revenue it's worth considering the halo effect. After all, generative AI drives the usage of multiple revenue lines including Microsoft Dynamics, GitHub and various flavors of Office.

Nadella took the genAI halo effect concept for a spin on the company’s earnings call. He said: "At the end of the day, GenAI is just software. So, it is really translating into fundamentally growth on what has been our M365 SaaS offering with a newer offering that is the Copilot SaaS offering, which today is on a growth rate that's faster than any other previous generation of software we launched as a suite in M365. That's, I think, the best way to describe it."

Hood said that analysts shouldn't fret about Microsoft's fourth quarter capital expenditures of $19 billion to cover cloud and AI spending on servers, CPUs and GPUs to meet demand. Hood noted that these investments are long-term investments that benefit the Microsoft portfolio.

This post first appeared in the Constellation Insight newsletter, which features bespoke content weekly and is brought to you by Hitachi Vantara.

"Because we're building to one Azure AI stack, we don't have to have multiple infrastructure investments," said Hood. "We're making one. We're using that internally first-party, and that's what we're using with customers to build on as well as ISVs. So, it does, in fact, make margins start off better and obviously scale consistently."

Alphabet CEO Sundar Pichai served up a similar spin with a bit less nuance than Nadella had. To Pichai, genAI spending has a multiplier effect that "cuts across all our core areas our products, including Search, YouTube and other services, as well as fuels growth in cloud and supports the innovative long-term bets and other bets."

Microsoft and Alphabet are shifting the genAI spending narrative to focus on overall software sales. ServiceNow has been noting that genAI boosts sales overall. With a focus on smaller models and its NowAssist genAI offerings, ServiceNow is living the software halo walk.

ServiceNow CFO Gina Mastantuono said on the company's second quarter earnings call that genAI is contributing to net new annual contract value and fueling demand. "Our Gen AI net new ACV to date continues to trend ahead of any new product family launched for the comparable period. Our Plus SKU saw more than a 30% price uplift over Pro in Q2. Furthermore, since launch, we're seeing a greater than 3x increase in average deal size versus the comparable Pro upgrade," she said. "NowAssist cogeneration capabilities within creative workflows remain a powerful productivity tool of choice as well, appearing in over 70% of our Gen AI deals."

Why enterprise, process workflows are the new battleground

SAP also noted that its Business AI push is also leading to new deals. Rest assured you'll hear more of this genAI halo narrative going forward from Salesforce, Workday and a bevy of others. The pitch: GenAI is just software so don't go looking for direct revenue impacts.

In many ways, enterprise software vendors need to play the genAI game similar to the way Meta is. Meta CEO Mark Zuckerberg said genAI is a long game that will initially enhance existing products and improve monetization before creating new business opportunities. Of course, Zuckerberg has an advantage in that he’s not selling cloud services or software.

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Rocket Companies Q2 highlights genAI, AI returns

Rocket Companies' second quarter earnings results highlight how enterprises can gain leverage from generative AI even when they play in a rough market.

CEO Varun Krishna said artificial intelligence and generative AI was driving process efficiencies and customer experiences behind marketing, product, operations and sales. "We're blazing new trails pioneering experiences that will redefine how consumers experience the homeownership journey now and into the future," said Krishna.

Indeed, Rocket Companies reported second-quarter net income of $178 million, or a penny a share, on revenue of $1.23 billion. Non-GAAP earnings were 6 cents a share to top Wall Street estimates. The company's data and AI strategy, which is built on Amazon Bedrock, model choices and a chat interface that speeds up mortgage and lending processes, was outlined in a recent Constellation Insights customer deep dive. See PDF version of this customer story.

The AI strategy appears to be paying off. Rocket Mortgage generated $24.7 billion in closed loan origination volume, up 10.4% from a year ago. Krishna said Rocket Companies is gaining share in a downturn and ready to grow when the market turns. Technology is a big reason for those share gains. Rocket Companies hired its first Chief Technology Officer, Shawn Malhotra, in May to oversee AI, data science, engineering and technology operations across the company.

Simply put, Rocket Companies is among the best enterprises in a bad neighborhood. Krishna set the scene:

"We're navigating through challenging times and unpredictability is the new normal. Despite some signs of gradual recovery in home listings and sales, affordability remains at historic lows due to persistently high mortgage rates and rising home prices. This past spring, the industry experienced a weak home buying activity with purchase applications dropping to their lowest levels in over 3 decades. Macro uncertainty and affordability issues are keeping potential buyers on the sidelines while consolidation continues with smaller players being acquired or exiting the market."

Mortgage employment has decreased 36% from its peak, noted Krishna. Rocket Companies' bet is simple: Innovate as rivals fail.

Here's a look the AI milestones being credited for Rocket Companies' second quarter results.

Rocket Logic Assistant. Krishna said Rocket Logic Assistant, an AI-powered live chat experience, is deployed across banking, home equity loans, mortgages and servicing. "We have expanded this interface throughout the client journey from early inquiries using tools like the mortgage calculator to live help with applications and servicing questions on escrow and payments," said Krishna. "Our live chat interface is so much more than just the communication tool. It's a strategic advantage that enhances engagement with deep personalization drives efficiency and ultimately improve outcomes for our clients and business at scale."

Krishna said the company's live chat is preferred by 80% of customers and it complements traditional phone interactions. "We can quickly gauge client intent and direct them to the best solutions, whether they need immediate answers or deeper discussions with the right expert team member. And by leveraging generative AI, we can deliver great client experiences at scale by handling more interactions and keeping more clients engaged with better automation," he said.

With chat across the customer journey, Rocket can cut manual tasks such as note taking and mortgage application data entry.

Automation. AI has also enabled Rocket to automate workflows and complete audits in half the time, streamline the first steps of loan onboarding and tag data for data lakes and model training. Rocket has been able to bypass human intervention on nearly 10% of appraisals in April to save 1,701 hours for collateral underwriting.

The data flywheel. With Rocket Logic Assistant generating 300,000 detailed transcripts every week, the company can be more efficient and extract insights and feedback loops. Krishna added that Rocket's servicing portfolio is leveraging the data from 2.6 million clients to build profiles and understand needs.

Automated valuation models. Rocket deployed an automated valuation model (AVM) for home equity loans. "We enhanced the speed and efficiency of our home equity loan process through the launch of an automated valuation model or AVM. AVM represents a major upgrade, providing a cost-efficient digital alternative to traditional in-person appraisals. This innovation allows us to deliver cash from home equity loans in as little as 7 days meeting our clients' needs with unprecedented speed and accuracy," said Krishna.

Retrieval Augmented Generation (RAG). Krishna said RAG is being used to add data to best practices, documents and data and present analytics using natural language. Rocket is using AWS, Anthropic and OpenAI models and plans to stay on the frontier as large language models (LLMs) evolve.

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Apple returns to revenue growth in Q3

Apple returned to revenue growth in its fiscal third quarter as sales were up 5% to $85.8 billion. Earnings were $1.40 a share

Analysts had expected the company to earn $1.34 a share on $84.4 billion in the third quarter.

Expectations for Apple's June quarter were muted ahead of the launch of Apple Intelligence, a platform that is expected to drive an iPhone upgrade cycle. Executives from wireless carriers have noted on earnings conference calls that customers were holding back ahead of the new iPhone launch.

CEO Tim Cook said Apple is also spending heavily on generative AI. "We continue to invest significantly in the innovations that will enrich our customers' lives, while leading with the values that drive our work," said Cook.

More:

By the numbers for the third quarter:

  • Apple iPhone sales in the third quarter were roughly flat at $39.3 billion, down from $39.7 billion a year ago.
  • Mac sales were $7 billion, up from $6.84 billion a year ago.
  • iPad revenue of $7.16 billion, up from $5.79 billion a year ago.
  • Wearables revenue was $8.1 billion, down from $8.28 billion a year ago.
  • Services revenue was $24.21 billion, up from $21.2 billion a year ago.
  • revenue, which is closely watched, had third revenue of $14.73 billion, down from $15.76 billion a year ago. Apple showed sales gains in all other geographies.

Speaking on an earnings conference call, Cook made the following points:

  • "We are very excited about Apple intelligence and we remain incredibly optimistic about the extraordinary possibilities of AI and its ability to enrich customers lives. We will continue to make significant investments in this technology and dedicate ourselves to the innovation that will unlock its full potential."
  • "We've seen great interest provision pro in the enterprise, where it can empower companies large and small to pursue their best ideas like never before."
  • "We achieved revenue records in the majority of the services categories with all time revenue records in advertising, cloud and payment services."
  • "With Apple Intelligence, we're very excited and about the level of value that we're going to provide to users. We believe that that presents another reason for a compelling upgrade."
  • Regarding China, Cook noted more than 50% of the decline was currency related. "If you look at iPhone in particular for Greater China, the installed base set a record. We also in mainland China set a June quarter record for operators. And so that that's a very strong signal. We continue to be confident in the long term opportunity in China," he said. 
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Intel's Q2 wipeout: Guidance cut, 15% layoffs, dividend suspended

If you were waiting for Intel's turnaround you'll have to wait a while longer. Intel posted a disastrous second quarter, eliminated its dividend, cut its outlook and said it would lay off 15% of its workforce.

Intel, which is getting squeezed by both Nvidia and AMD, reported a second quarter net loss of 38 cents a share on revenue of $12.8 billion, down 1% from a year ago. Non-GAAP earnings in the second quarter were 2 cents a share.

Wall Street was expecting Intel to report second quarter earnings of 10 cents a share on $12.98 billion in revenue. Intel rival AMD reported a strong second quarter. 

Intel projected third quarter revenue of $12.5 billion to $13.5 billion with a non-GAAP loss of 3 cents a share. Wall Street was expecting third quarter earnings of 31 cents a share on revenue of $14.39 billion.

Given the results, Intel said it would aim to reduce costs by $10 billion and cut 15% of its workers. Intel is also suspending its dividend.

CEO Pat Gelsinger said:

"Our Q2 financial performance was disappointing, even as we hit key product and process technology milestones. Second-half trends are more challenging than we previously expected."

Intel CFO David Zinser said the company saw "gross margin headwinds" from the ramp of AI PCs, unused capacity and charges due to non-core business.

Given the second quarter results, Intel said it will cut spending and headcount to reduce non-GAAP R&D, marketing and general and administrative costs by about $20 billion in 2024 and $17.5 billion in 2025. Intel also said it will shift toward "capital efficiency and investment levels aligned to market requirements." Intel is planning to reduce gross capital expenditures in 2024 by 20% from previous guidance to $25 billion to $27 billion.

Constellation Research analyst Holger Mueller said:

"Intel can’t catch growth and now Pat Gelsinger and team have decided to change the cost base – 15% layoff is unheard of in the industry in general and for Intel specifically. But the biggest contributor to the loss in operating income came actually from ‘restructuring and other charges’. The question will be if Intel can achieve still the same revenue run rate and R&D results with under 100,000 employees. The other concern is that future revenue streams – like data center / AI and Network & Edge are sightly shrinking. It will be another rough second half of the year for Intel."

More:

Intel said it will continue to invest in innovation across process technology and products.

By the second quarter numbers:

  • Client Computing Group revenue was $7.4 billion, up 9% from a year ago.
  • Data Center and AI revenue was $3 billion, down 3% from a year ago.
  • Network and Edge revenue was $1.3 billion, down 1% from a year ago.
  • Intel Foundry revenue was $4.3 billion, up 4% from a year ago.

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