The Visible Alpha AI Monitor: Start of a Rotation?
By: Melissa Otto, CFA
The Visible Alpha AI Monitor aggregates publicly traded U.S. technology companies, providing a comprehensive measure of the current state and projected growth of the core AI industry. This encompasses the AI-exposed revenues for companies that are building AI infrastructure and capabilities for both enterprises and consumers.
Since the beginning of July 2024, the smaller companies in the AI Monitor started to see strong stock price performance, while many of the mega-caps have seen underperformance. This recent performance dichotomy has raised questions about a possible rotation out of mega-cap technology stocks and into both other sectors and smaller-cap technology stocks. Sentiment around smaller companies may be shifting as investors look for firms with strong growth and cheaper valuations against the backdrop of the Fed potentially starting to cut rates. However, the mega-caps still dominate the upward revisions to AI-exposed revenues. Is this the start of a broader rotation? What will be the catalyst for upward revisions across a broader array of companies in the AI Monitor?
Investors may use the Visible Alpha AI Monitor to generate new ideas to capture growth emanating from the core AI industry, as well as to evaluate the potential AI exposure of technology stocks in their existing portfolios. We have identified specific line items that capture potential growth of AI-related revenues that are available in the Visible Alpha Insights platform (see the goals, objectives, and methodology of the AI Monitor towards the bottom of this page).
Key Takeaways
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The Visible Alpha AI Monitor: Generative AI Adoption
The generative AI (GAI) trend gained momentum in 2023 as Cloud Service Providers invested heavily. In 2024, the GAI theme is continuing to evolve and gain momentum. This year looks poised to be the year of GAI adoption in enterprises. Visible Alpha is observing GAI make a greater push into organizations and attempt to drive efficiency and growth, while enhancing the client experience. The verdict is still out on whether or not GAI will yield real value for businesses and support stronger fundamentals and earnings growth. However, the trend toward GAI adoption is undeniable.
AI growth and performance overview
Source: Visible Alpha consensus (July 17, 2024). Stock price data courtesy of FactSet. Current stock prices are as of the market close on July 16, 2024. TOP 10 = IBM, Qualcomm, Oracle, Microsoft, Intel, Amazon, Super Micro Computer, Dell, Nvidia, Google. These firms currently have the largest revenue-generating segments geared to AI.
AI Monitor Post-Q2
In 2023, eight out of the 10 largest AI-exposed revenue generators drove strong stock price outperformance, while more than 50% of the smaller-cap AI stocks underperformed. Post-Q1, AI-exposed revenues were expected to grow by nearly $330 billion, from $410 billion at the end of 2022 to $740 billion at the end of 2025, driven overwhelmingly by the Top 10 largest in the AI Monitor.
Post-Q2, AI-exposed revenues are now expected to be over $370 billion, from $410 billion at the end of 2022 to $780 billion at the end of 2025, continuing to be driven overwhelmingly by the Top 10 largest. Sequentially, AI-exposed revenue expectations increased a further $40 billion quarter-on-quarter, demonstrating the optimism the market is pricing into the future of AI.
AI-exposed revenue aggregations
Source: Visible Alpha consensus (July 17, 2024). Stock price data courtesy of FactSet. Current stock prices are as of the market close on July 16, 2024. TOP 10 = IBM, Qualcomm, Oracle, Microsoft, Intel, Amazon, Super Micro Computer, Dell, Nvidia, Google. These firms currently have the largest revenue-generating segments geared to AI.
Nvidia Continued to Dominate in H1 2024
The H1 2024 revenue growth of the Top 10 is driven by the $360 billion, up a further $50 billion in Q2, of upward revisions analysts have made to Nvidia’s AI-exposed data center and Super Micro Computer’s AI-exposed server and storage systems revenues, which contributed significantly to both the AI-exposed revenue concentration and stock performance of the AI Monitor. In the H1 2024, Nvidia, Super Micro Computer, and Dell have been the drivers of higher expectations for revenue growth in the AI Monitor.
In the H1 2024, Nvidia revenue growth estimates jumped by a further $84 billion from the beginning of the year, making up 63% of the upward revisions of the Top 10. Super Micro Computer’s AI-exposed revenue in H1 increased an additional $20 billion. How may these dynamics change through the rest of 2024? Will Nvidia continue to dominate the upward revisions? Will new players emerge in the Top 10?
AI-exposed revenue revisions summary
Source: Visible Alpha consensus (July 17, 2024). TOP 10 = IBM, Qualcomm, Oracle, Microsoft, Intel, Amazon, Super Micro Computer, Dell, Nvidia, Google. These firms currently have the largest revenue-generating segments geared to AI.
Revenue Revisions & Stock Performance Summary
Currently, the Visible Alpha AI Monitor universe of 66 publicly traded U.S. companies is 77% weighted to the 10 largest companies, with the remaining 23% dispersed among 56 companies.
On a market-cap-weighted and AI-exposed revenue-weighted basis, the Visible Alpha AI Monitor continued to be driven by substantial stock price outperformance (vs. the S&P 500 index) of the largest companies this year. In addition, the smaller companies continued to underperform (vs. the S&P 500 index), especially on an equal-weighted basis year-to-date.
On an equal-weighted basis, the AI Monitor would have generated a significantly lower return when compared to the market-cap and AI-exposed revenue-weighted aggregations this year, driven by the drag of a lower return generated by the smallest names.
AI Monitor aggregated stock return breakdowns
Post-Q2 YTD (as of 7/17/2024)
Post-Q1 YTD (as of 4/15/2024)
Source: Visible Alpha consensus (July 17, 2024). Stock price data courtesy of FactSet. Current stock prices are as of the market close on July 16, 2024. TOP 10 = IBM, Qualcomm, Oracle, Microsoft, Intel, Amazon, Adobe, Dell, Nvidia, Google. These firms currently have the largest revenue-generating segments geared to AI.
Top 10
Based on an analysis of the 10 largest players, 2025 revenue forecasts for AI-exposed revenue segments doubled from $44 billion in Q1 to now $88 billion at the end of Q2 2024. However, $55 billion of the 2025 increase is from Nvidia, $11.6 billion from Super Micro Computer, and a further $9.3 billion increase from Dell, all significantly higher from Q1. The declines in revenue estimates that the rest of the Top 10 has seen since January 2023 have largely stopped since the beginning of 2024. The downward revisions were driven by lower expectations for AWS, Google Cloud, and Qualcomm QCT. The estimates for these companies have now started to tick up, suggesting that the cuts to 2025 revenue expectations may have been too deep.
The Rest (smaller contributors)
The remaining list of 56 companies may serve as a good place for investors to discover new ideas by surfacing expanding new players. While smaller companies in aggregate have not performed as well as the Top 10, there have been some clear outperformers relative to the composite. From July 1, 2024, the stock price performance of smaller contributors saw a clear uptick with 17 companies up 10% or more. Is this trend sustainable for the H2?
Among the smaller firms, revenue growth expectations are very mixed. Strong double-digit revenue growth is expected at some firms, while others are seeing estimates decline. These dynamics may help investors identify emerging trends in the space.
In H1 2024, we have already seen that to be true with Zeta Global delivering strong outperformance (vs. the Russell 2000), which may help position this firm longer term as an up-and-comer in the space. Vertiv and Palantir are mid-caps with strong AI-exposed revenues and stock prices showing positive outperformance.
In contrast to these outperformers, more than half of the smaller companies in the AI Monitor substantially underperformed the Russell 2000 return of 11% YTD. This weakness may imply that these companies are under pressure and may be seeing compression in their valuations. This weakness may make some of these companies acquisition candidates by larger firms. Five9 and UiPath fell by more than 40% YTD in 2024.
AI Monitor detailed breakdown (YTD)
Source: Visible Alpha consensus (July 17, 2024). Stock price data courtesy of FactSet. Current stock prices are as of the market close on July 16, 2024. TOP 10 = IBM, Qualcomm, Oracle, Microsoft, Intel, Amazon, Adobe, Dell, Nvidia, Google. These firms currently have the largest revenue-generating segments geared to AI. Based on higher analyst counts, we are using the non-GAAP revenue number for Oracle and Ansys.
AI Monitor detailed breakdown (MTD)
Source: Visible Alpha consensus (July 17, 2024). Stock price data courtesy of FactSet. Current stock prices are as of the market close on July 16, 2024. TOP 10 = IBM, Qualcomm, Oracle, Microsoft, Intel, Amazon, Adobe, Dell, Nvidia, Google. These firms currently have the largest revenue-generating segments geared to AI. Based on higher analyst counts, we are using the non-GAAP revenue number for Oracle and Ansys.
Visible Alpha 2024 Watchlist: Companies to Watch in 2024
In 2024, we are watching the pace at which companies will be moving more of their data to the cloud and enabling innovation with AI. The AI Monitor aims to help users observe the pace of data migration to the cloud by highlighting companies and line items. In particular, we have been watching several companies since the beginning of the year, and have recently added Apple after the Apple Intelligence announcement at WWDC on June 10, 2024. Apple will get added to the AI Monitor next quarter.
We are closely tracking the performance of Oracle’s Cloud Services and Microsoft Azure’s Infrastructure and Platform as a Service business. Together, this partnership may bring more organizations to the cloud and position enterprises to integrate AI into their workflows. As enterprises shift to the cloud and look for end-to-end solutions to support working with generative AI, Dell looks well-positioned.
As more data goes into the cloud, we are also monitoring Snowflake’s growth. This stock is down over 30% since it delivered lackluster guidance and changed CEOs. Snowflake enables organizations to de-silo their data and compare/share it with other data sources across the enterprise, serving as a good starting point for leveraging AI across their enterprise. At a recent tech conference, Snowflake management said “the most common type of data going into Snowflake is CRM data.”
And as more customer relationship data moves to the cloud and into Snowflake for sharing between marketing, sales, and other teams, Zeta Global may benefit from the need to unify and understand customer interactions.
As companies large and small establish their data, cloud, and AI strategies, what new innovations and companies will drive AI-exposed revenues in 2024 and beyond?
- Apple (NASDAQ: AAPL) – (newly added for Q3)
- Dell (NYSE: DELL)
- Oracle (NYSE: ORCL)
- Microsoft (NASDAQ: MSFT)
- Snowflake (NYSE: SNOW)
- Zeta Global (NYSE: ZETA)
Apple
Apple entered the Generative AI (GAI) movement and announced its version of a new personal intelligence system, Apple Intelligence, at WWDC on June 10, 2024. In the keynote, Craig Federighi, SVP of Software Engineering, showcased the updates and highlighted the new partnership with OpenAI. Apple Intelligence is only available on iPhone15 Pro/Pro Max, select iPads, and Macs.
The success of Apple Intelligence has the potential to drive a hardware replacement cycle, which could be a catalyst for the broader adoption of GAI. Given the enormous installed base of iPhones, Pre-15 Pro users may be motivated to upgrade their earlier version phones to leverage the new Apple Intelligence capabilities. Based on Visible Alpha, analysts expect iPhone 15 unit sales to range from 126 million to 158 million with consensus at 144 million this fiscal year. How will Apple Intelligence help to drive GAI usage by consumers and enterprises?
Dell
Dell has been seeing strong demand for its AI servers. However, the stock reacted negatively to the commentary around the AI server backlog last quarter. An over-optimistic backlog expectation seemed to have been impacting Dell’s growth expectations. While the company delivered a respectable AI server backlog of $3.8 billion in Q1, the disappointment in the stock came from the lack of ISG operating profit growth generated by an additional $1.7 billion in AI server shipments year over year in Q1.
Recently, Dell also highlighted new, embedded-AI capabilities for laptops. There is some debate in the market about the enterprise adoption of AI and, if it does happen, what the pace of it will be. Some analysts are forecasting it to be broad and fast, while others question if the adoption will even happen. Will Dell’s next-generation, AI-enabled laptops help broaden adoption within enterprises?
Oracle and Microsoft: How will this partnership help to drive cloud migration and AI in 2024 and 2025?
Access to data will be a critical dimension to anything a customer wants to do with AI. Back in the fall of 2023, Oracle CTO Larry Ellison and Microsoft CEO Satya Nadella explained that their partnership will enable customers to co-locate the Oracle hardware and software within the Azure Data Center, which will be key for fine-tuning, pre-training, or meta-prompting a model for AI.
With a large portion of data still located on-premise, they believe this collaboration should encourage companies to move to the cloud by lowering latency and increasing security. Once the data is in the cloud, customers can begin to innovate with it. From the Azure portal, users can provision an Oracle database, then marry that to Open AI and, ultimately, to the library of Microsoft technology.
Both Microsoft and Oracle estimates have ticked up since January. Currently, analysts are expecting Microsoft’s June 2024 Azure revenue to be $74 billion and to more than double to $155 billion by June 2027, driven by the growth of Infrastructure and Platform as a Service businesses within Azure. While Microsoft has been a driver of the move to GAI, it has not seen the significant upward revisions observed at Nvidia. In addition, the company has tripled capex spending from FY 2020 to close to $45 billion. Similarly, Oracle’s May 2024 revenue from Cloud Services is projected to double from $20 billion to over $40 billion by May 2027. Given the partnership, when will Microsoft’s Azure and Oracle’s Cloud Services revenue lines begin to meaningfully outpace expectations?
Snowflake
Speaking at a tech conference in December, Snowflake CFO Mike Scarpelli echoed points around the cloud, data, and AI that were similar to Oracle and Microsoft. He explained that to reap the benefits of generative AI, companies are going to use it in the cloud, instead of on-prem. Therefore, organizations will need to ensure their data is clean and in the cloud for their large language models to be useful.
As companies look to integrate AI into their organizations, the market for the Snowflake product looks poised to reaccelerate over the next year. However, the stock has declined 30% since the disappointing guidance in March and the surprising CEO change. CEO Sridhar Ramaswamy brings the engineering lens to the role. The Q1 earnings call did little to reset expectations for Ramaswamy and the stock. Have expectations been corrected enough? Could Q2 be a positive catalyst for the stock or could there be another leg down?
According to Visible Alpha consensus, AI-exposed revenues are estimated now to be $4.1 billion in CY 2025, down from last year’s expectation of $4.5 billion levels. The FY 2026 expected gross margin declined from an initial expectation of 74.6% to now 72.9%, driven by the slower expected top-line growth. There is currently debate about the earnings outlook for the company. The Q2 performance will likely be important for new CEO Sridhar Ramaswamy’s first year in the job.
According to Scarpelli, the most common type of data going into Snowflake is customer relationship management data. Therefore, we wanted to highlight a smaller-cap company that is bringing AI innovations to their client’s marketing teams: Zeta Global.
Zeta Global
With a market cap of $4.4 billion, Zeta Global is a smaller-cap company that looks well-positioned to benefit from its exposure to AI. Through the Zeta Marketing Platform (ZMP), COO Steve Gerber’s vision is to leverage their proprietary AI and data tools to unify identity, intelligence, and omnichannel activation into a single platform. Having clean data in the cloud for data sharing within organizations may become an increasingly important driver as customers look to centralize data for AI applications. Zeta Global’s partnership with data-sharing platform Snowflake may play a critical role in supporting the company’s growth.
According to Visible Alpha consensus, Zeta Global’s AI-exposed revenues are estimated to surpass $1 billion by year-end 2025, from $709 million in CY 2023, as organizations adopt more advanced marketing technology.
Regulatory Backdrop
The regulatory backdrop can have an impact on the potential adoption and growth of AI. Increased regulatory scrutiny is one potential obstacle to scaling GAI applications in organizations. In addition, there may be more regulatory hurdles around acquisitions that could bring about consolidation in the space. In the fall of 2023, President Biden issued an Executive Order to “ensure that America leads the way in seizing the promise and managing the risks of artificial intelligence (AI).” The Order contained initiatives to strengthen AI safety and security, privacy protections, innovation, and competition, along with supporting consumers, workers, and equity. In January 2024, the agencies completed more than two dozen activities around AI talent, risks, and implications for the U.S. In addition, the White House has created a blueprint for an AI Bill of Rights (ai.gov).
As the government continues to focus on AI and its implications for the U.S., Stanford University released an update in April 2024 to its AI Index. The report captures the number of new AI-related regulations by the agency in 2023 and shows the surge in proposed bills. The trajectory of the proposed regulations suggests we may see more regulations in 2024 and 2025. In addition, a wider range of agencies may be looking to add specific regulations going forward.
Proposed AI-related regulations by agency in the U.S.
The year 2023 witnessed a remarkable increase in AI-related legislations at the federal level, with 181 bills proposed, more than double the 88 proposed in 2022.
Source: Stanford University AI Index 2024 (https://aiindex.stanford.edu/report/)
U.S. AI-related regulations by agency
The number of U.S. regulatory agencies issuing AI regulations increased to 21 in 2023 from 17 in 2022, indicating a growing concern over AI regulation among a broader array of American regulatory bodies. Some of the new regulatory agencies that enacted AI-related regulations for the first time in 2023 include the Department of Transportation, the Department of Energy, and the Occupational Safety and Health Administration.
Source: Stanford University AI Index 2024 (https://aiindex.stanford.edu/report/)
Final Thoughts
In H1 2024, Nvidia continued to lead in the space, comprising over 60% of the total upward revisions to CY 2025. Super Micro Computer was the best performer so far this year, up over 200%. Nvidia, Vertiv, and ARM were all up over 100% in H1 2024 and have emerged as this year’s big performers so far as the industry looks for scalable infrastructure solutions. The focus seems to be shifting from cloud service providers (CSPs) to scalable enterprise applications and broadening adoption for GAI. For many firms, however, it is not clear how they will participate in bringing GAI to enterprises and grow the impact of AI-exposure in their business models. Going forward, it will be interesting to see how Apple Intelligence influences the landscape.
In 2024, we are watching the pace at which companies will be moving more of their data to the cloud and enabling innovation with AI in enterprises. We are interested to see how the partnership between Oracle and Microsoft could help drive more organizations to the cloud and set up their enterprises for integrating AI into their workflows. Through its data sharing and analytics capabilities, Snowflake is likely to play a role in the rollout of the AI ecosystem. Snowflake’s clients seem to be increasingly aiming to de-silo their data and organizations to understand how best to serve their customer base. As more customer relationship data moves to the cloud and into Snowflake for sharing and AI, it will be interesting to see if Zeta Global will continue to benefit from these dynamics happening in different parts of the tech stack.
Will the recent small-cap winners continue to drive the Visible Alpha AI Monitor for the rest of 2024?
AI Monitor Goals and ObjectivesThe objective of the Visible Alpha AI Monitor is to show the investment community which companies are likely to drive AI going forward. As the world embraces AI and its applications to enterprise workflows and our daily lives, big questions exist about how AI’s impact on company business models will unfold over the next 3-5 years. AI can potentially free people from tedious gruntwork to enable more focus on critical workflows that require human creativity and analysis. A primary goal of the Visible Alpha AI Monitor is to show which U.S. companies and specific line items we are keeping an eye on as the embryonic AI theme emerges across company fundamentals and begins to scale broadly across the economy. We are monitoring how AI may be reflected in the numbers and which companies may be benefitting more or less. This universe attempts to be comprehensive and to show investors the dynamics of both the large and smaller U.S. players. Additionally, it aims to help investors identify new names that may be smaller and less covered, but potentially growing and emerging more quickly. AI Monitor MethodologyUsing Visible Alpha’s comprehensive database of detailed estimates pulled directly from sell-side analysts’ spreadsheet models, we have assembled an aggregation with a universe of 69 publicly traded companies that are contributing to the infrastructure and broad scaling of AI capabilities. This monitor aims to provide a current and future snapshot as to where AI-related revenues are and are not growing across each of these 69 companies, particularly the 10 largest. We have aggregated the revenues of specific business segments at firms that are driving the wider AI trend. For larger firms, we have attempted to pinpoint where in their revenue model AI is driving growth. For some smaller firms, we are simply incorporating 100% of revenues. The AI-exposed revenue lines we identify are intended to be used as a proxy for monitoring the growth of each company’s AI business. Given both the lack of discrete company disclosures and how intertwined AI and conventional technologies and services can be, these lines should not be taken as exact quantifications of AI revenues, but are, we believe, the best systematic approximation available. The AI Monitor provides three measures of stock performance for its universe. These metrics are meant to show the returns of various weighting schemes. The returns are calculated on both an equal-weighted and market-cap-weighted basis. The universe performance of the AI Monitor is also weighted based on AI-exposed revenues and calculated in aggregate. From 2024, the return calculations were standardized, and market-cap-weighted now reflects year-over-year changes. For Visible Alpha subscribers, details of these companies can all be found within the Visible Alpha Insights platform. Each company included in the monitor has coverage by at least four sell-side analysts. In addition, given the quickly evolving state of the AI space, these line items are subject to change and may shift significantly over time. We plan to refresh the data on an ongoing basis and provide regular updates. |
The Visible Alpha AI Monitor: A Push Towards Enterprise Adoption
By: Melissa Otto, CFA
The Visible Alpha AI Monitor aggregates publicly-traded U.S. technology companies, providing a comprehensive measure of the current state and projected growth of the core AI industry. This encompasses the AI-exposed revenues for companies that are building AI infrastructure and capabilities for both enterprises and consumers.
Investors may use the Visible Alpha AI Monitor to generate new ideas to capture growth emanating from the core AI industry, as well as to evaluate the potential AI exposure of technology stocks in their existing portfolios. We have identified specific line items that capture potential growth of AI-related revenues that are available in the Visible Alpha Insights platform (see the goals, objectives, and methodology of the AI Monitor towards the bottom of this page).
The Visible Alpha AI Monitor: Generative AI adoption
The generative AI (GAI) trend gained momentum in 2023 as Cloud Service Providers invested heavily. In 2024, the GAI theme is continuing to evolve and gain momentum. This year looks poised to be the year of GAI adoption in enterprises. Visible Alpha is observing GAI make a greater push into organizations to drive efficiency and growth, while enhancing the client experience. The verdict is still out on whether or not GAI will yield real value for businesses and support stronger fundamentals and earnings growth. However, the trend toward GAI adoption is undeniable.
In Q1 2024, we added Autodesk, ServiceNow, Vertiv, Super Micro Computer, Crowdstrike, Lam Research and Broadcom to the AI Monitor universe, increasing from 63 to 69 companies. Alteryx was acquired and dropped out of the AI Monitor. Liveperson’s coverage dropped below our four-source threshold and will be removed next quarter.
Figure 1: AI growth and performance overview
Source: Visible Alpha consensus (April 17, 2024). Stock price data courtesy of FactSet. Current stock prices are as of the market close on April 16, 2024. TOP 10 = IBM, Qualcomm, Oracle, Microsoft, Intel, Amazon, Super Micro Computer, Dell, Nvidia, Google. These firms currently have the largest revenue-generating segments geared to AI.
Visible Alpha 2024 Watchlist: 6 Companies to Watch in 2024
- Dell (NYSE: DELL) (new addition)
- Oracle (NYSE: ORCL)
- Microsoft (NASDAQ: MSFT)
- Snowflake (NYSE: SNOW)
- Sprinklr (NYSE: CXM)
- Zeta Global (NYSE: ZETA)
In 2024, we are watching the pace at which companies will be moving more of their data to the cloud and enabling innovation with AI. The AI Monitor aims to help users observe the pace of data migration to the cloud by highlighting companies and line items. In particular, we have been watching several companies since the beginning of the year.
We are closely tracking the performance of Oracle’s Cloud Services and Microsoft Azure’s Infrastructure and Platform as a Service businesses. Together, this partnership may bring more organizations to the cloud and position enterprises for integrating AI into their workflows. As enterprises shift to the cloud and look for end-to-end solutions to support working with generative AI, we have recently added Dell to our watchlist. Nvidia CEO Jensen Huang called out Dell CEO Michael Dell in the audience at Nvidia’s GTC (GPU Technology Conference) recently.
As more data goes into the cloud, we are also monitoring Snowflake’s growth. This stock is down over 30% since last quarter when it delivered lackluster guidance and changed CEOs. Snowflake enables organizations to de-silo their data and compare/share with other data sources across the enterprise, serving as a good starting point for leveraging AI across their enterprise. At a recent tech conference, Snowflake management said “the most common type of data going into Snowflake is CRM data.”
And as more customer relationship data moves to the cloud and into Snowflake for sharing between marketing, sales, and other teams, Sprinklr and Zeta Global may benefit from the need to unify and understand customer interactions.
As companies large and small establish their data, cloud, and AI strategies, what new innovations and companies will drive AI-exposed revenues in 2024 and beyond?
Updates to the AI Monitor
In 2023, eight out of the 10 largest AI-exposed revenue generators drove strong outperformance, while more than 50% of the smaller-cap AI stocks underperformed. Post-Q1, AI-exposed revenues are expected to grow by over $320 billion, from $415 billion at the end of 2022 to $739 billion at the end of 2025, driven overwhelmingly by the Top 10 largest in the AI Monitor.
Figure 2: AI-exposed revenue aggregations
Source: Visible Alpha consensus (April 17, 2024). Stock price data courtesy of FactSet. Current stock prices are as of the market close on April 16, 2024. TOP 10 = IBM, Qualcomm, Oracle, Microsoft, Intel, Amazon, Super Micro Computer, Dell, Nvidia, Google. These firms currently have the largest revenue-generating segments geared to AI.
The revenue growth of the Top 10 is driven by the $230 billion of upward revisions analysts have made to Nvidia’s AI-exposed data center and Super Micro Computer’s AI-exposed server and storage systems revenues, which contributed significantly to both the AI-exposed revenue concentration and stock performance of the AI Monitor. Dell estimates for the AI-exposed Infrastructure Solutions Group revenues have come up nearly $9 billion for 2024 and 2025. How may these dynamics change through the rest of 2024?
New Additions to the AI Monitor
- Broadcom (NASDAQ: AVGO)
- Super Micro Computer (NASDAQ: SMCI)
- Vertiv (NYSE: VRT)
- ServiceNow (NYSE: NOW)
- Autodesk (NASDAQ: ADSK)
- Crowdstrike (NASDAQ: CRWD)
- Lam Research (NASDAQ: LRCX)
Figure 3: AI-exposed revenue revisions summary
Source: Visible Alpha consensus (April 17, 2024). TOP 10 = IBM, Qualcomm, Oracle, Microsoft, Intel, Amazon, Super Micro Computer, Dell, Nvidia, Google. These firms currently have the largest revenue-generating segments geared to AI.
Oracle and Microsoft: How will this partnership help to drive cloud migration and AI in 2024 and 2025?
Access to data will be a critical dimension to anything a customer wants to do with AI. Back in the fall of 2023, Oracle CTO Larry Ellison and Microsoft CEO Satya Nadella explained that their partnership will enable customers to co-locate the Oracle hardware and software within the Azure Data Center, which will be key for fine-tuning, pre-training, or meta-prompting a model for AI.
With a large portion of data still located on-premise, they believe this collaboration should encourage companies to move to the cloud by lowering latency and increasing security. Once the data is in the cloud, customers can begin to innovate with it. From the Azure portal, users can provision an Oracle database, then marry that to Open AI and, ultimately, to the library of Microsoft technology.
Both Microsoft and Oracle estimates have ticked up since January. Currently, analysts are expecting Microsoft’s June 2024 Azure revenue to be $74 billion and to double to $149 billion by June 2027, driven by growth of Infrastructure and Platform as a Service businesses within Azure. Similarly, Oracle’s May 2024 revenue from Cloud Services is projected to double from $20 billion to nearly $39 billion by May 2027. Given the partnership, could the pace of this growth show up faster for both Microsoft’s Azure and Oracle’s Cloud Services business lines?
Snowflake
Speaking at a tech conference in December, Snowflake CFO Mike Scarpelli echoed points around the cloud, data, and AI that were similar to Oracle and Microsoft. He explained that to reap the benefits of generative AI, companies are going to use it in the cloud, instead of on-prem. Therefore, organizations will need to ensure their data is clean and in the cloud for their large language models to be useful.
As companies look to integrate AI into their organizations, the market for the Snowflake product looks poised to reaccelerate over the next year. However, the stock has declined over 30% since the disappointing guidance in March and the surprising CEO change. CEO Sridhar Ramaswamy brings the engineering lens to the role. The Q1 earnings call will likely set the stage for Ramaswamy and the stock. Could Q1 be a positive catalyst for the stock?
According to Visible Alpha consensus, revenues from product are estimated to be $3.3 billion in CY 2024 and grow now to $4.1 billion in CY 2025, down from last year’s $5.3 levels. The gross margin is projected to decline from 77.8% to 76.4% in FY 2025, driven by slower expected growth. There is currently debate about whether or not the guidance is conservative. The Q1 performance will likely set the tone for new CEO Sridhar Ramaswamy’s first year in the job.
According to Scarpelli, the most common type of data going into Snowflake is customer relationship management data. Therefore, we wanted to highlight two smaller-cap companies that are bringing AI innovations to their client’s marketing teams: Sprinklr and Zeta Global.
Sprinklr
Through its specialized AI models, Sprinklr aims to provide a unified customer-experience platform for tracking all the places a customer may interact with a company’s brand, especially on social media outlets. With a market cap of $3.1 billion, Sprinklr may benefit from any rotation to smaller-cap stocks that are benefiting from the AI theme and its growth trends.
Recently, the company has taken steps to improve operational visibility and address the challenges in its core business. According to Visible Alpha consensus, AI-exposed subscription revenue projections for CY 2024 have increased since last quarter, from $740 to $805 million, and for CY 2025, from $836 to $897 million. Given the renewed confidence in CY 2025 expectations, could Sprinklr rise above the challenges and beat consensus?
Zeta Global
With a market cap of $2.5 billion, Zeta Global is a smaller-cap company that looks well-positioned to benefit from its exposure to AI. Through the Zeta Marketing Platform (ZMP), COO Steve Gerber’s vision is to leverage their proprietary AI and data tools to unify identity, intelligence, and omnichannel activation into a single platform. Having clean data in the cloud for data sharing within organizations may become an increasingly important driver as customers look to centralize data for AI applications. Zeta Global’s partnership with data-sharing platform Snowflake may play a critical role in supporting the company’s growth.
According to Visible Alpha consensus, Zeta Global’s AI-exposed revenues are estimated to hit close to $1 billion by year-end 2025, from $709 million in CY 2023, as organizations adopt more advanced marketing technology.
Performance Summary
Currently, the Visible Alpha AI Monitor universe of 69 publicly traded U.S. companies is 76% weighted to the 10 largest companies, with the remaining 24% dispersed among 59 companies.
On a market-cap weighted and AI-exposed revenue-weighted basis, the Visible Alpha AI Monitor continues to be driven by substantial stock price outperformance (vs. the S&P 500 index) of the largest companies this year. In addition, the smaller companies are continuing to underperform (vs. the S&P 500 index), especially on an equal-weighted basis.
On an equal-weighted basis, the AI Monitor would have generated significantly lower return when compared to the market-cap and AI-exposed revenue-weighted aggregations this year, driven by the drag of a lower return generated by the smallest names.
Top 10
Based on an analysis of the 10 largest players, 2025 revenue forecasts for AI-exposed revenue segments increased $44 billion in total since January 2024. However, nearly $28 billion of the 2025 increase is from Nvidia, $8 billion from Super Micro Computer, and a further $4 billion increase from Dell. The declines in revenue estimates that the rest of the Top 10 has seen since January 2023 has largely stopped since the beginning of 2024. The downward revisions were driven by lower expectations for AWS, Google Cloud, and Qualcomm QCT. However, the estimates for these companies have moderated and in some cases, started to tick up, suggesting that the cuts to 2025 revenue expectations may have been too deep.
Smaller Contributors
The remaining list of 59 companies may serve as a good place for investors to discover new ideas by surfacing expanding new players. While smaller companies in aggregate have not performed as well as the Top 10, there have been some clear outperformers relative to the composite.
Among the smaller firms, revenue growth expectations are very mixed. Strong double-digit revenue growth is expected at some firms, while others are seeing estimates decline. These dynamics may help investors identify emerging trends in the space.
In 2023, we have already seen that to be true with Zeta Global, Pegasystems, and Informatica delivering strong outperformance (vs. the Russell 2000), which may help position these firms longer term as the up-and-comers in the space. Vertiv and Palantir are mid-caps with strong AI-exposed revenues and stock prices showing positive outperformance.
In contrast to these small-cap and mid-cap outperformers, more than half of the smaller companies in the AI Monitor substantially underperformed the Russell 2000 return of 3.7% YTD. This weakness may imply that these companies are under pressure and may be seeing compression in their valuations. This weakness may make some of these companies acquisition candidates by larger firms. TTEC, Thoughtworks, and Liveperson fell by more than 50% YTD in 2024, off significant declines in 2023.
Figure 4: AI Monitor aggregated stock return breakdowns
Source: Visible Alpha consensus (April 17, 2024). Stock price data courtesy of FactSet. Current stock prices are as of the market close on April 16, 2024. TOP 10 = IBM, Qualcomm, Oracle, Microsoft, Intel, Amazon, Super Micro Computer, Dell, Nvidia, Google. These firms currently have the largest revenue-generating segments geared to AI.
Figure 5: AI Monitor detailed breakdown
Source: Visible Alpha consensus (April 17, 2024). Stock price data courtesy of FactSet. Current stock prices are as of the market close on April 16, 2024. TOP 10 = IBM, Qualcomm, Oracle, Microsoft, Intel, Amazon, Super Micro Computer, Dell, Nvidia, Google. These firms currently have the largest revenue-generating segments geared to AI. Based on higher analyst counts, we are using the non-GAAP revenue number for Oracle and Ansys.
Regulatory Backdrop
The regulatory backdrop can have an impact on the potential adoption and growth of AI. Increased regulatory scrutiny is one potential obstacle to scaling GAI applications in organizations. In addition, there may be more regulatory hurdles around acquisitions that could bring about consolidation in the space. In the fall of 2023, President Biden issued an Executive Order to “ensure that America leads the way in seizing the promise and managing the risks of artificial intelligence (AI).” The Order contained initiatives to strengthen AI safety and security, privacy protections, innovation and competition, along with supporting consumers, workers, and equity. In January 2024, the agencies completed more than two dozen activities around AI talent, risks, and implications for the U.S. In addition, the White House has created a blueprint for an AI Bill of Rights (ai.gov).
As the government continues to focus on AI and its implications for the U.S., Stanford University released an update in April 2024 to its AI Index. The report captures the number of new AI-related regulations by agency in 2023 and shows the surge in proposed bills. The trajectory of the proposed regulations suggests we may see more regulations in 2024 and 2025. In addition, a wider range of agencies may be looking to add specific regulations going forward.
Figure 6: Proposed AI-related regulations by agency in the U.S.
Source: Stanford University AI Index 2024 (https://aiindex.stanford.edu/report/)
Figure 7: U.S. AI-related regulations by agency
Source: Stanford University AI Index 2024 (https://aiindex.stanford.edu/report/)
Final Thoughts
In 2024, Nvidia continues to lead in the space. However, Super Micro Computer is the best performer so far this year. Vertiv, ARM, and Dell have emerged as this year’s big performers year to date as the industry looks for scalable infrastructure solutions. These firms have surpassed last year’s winners, Palantir, Samsara, and C3 AI, which saw their exposure to AI translate into meaningful stock outperformance in 2023 relative to the S&P 500 index. The focus seems to be shifting from cloud service providers (CSPs) to scalable enterprise applications for GAI. For many firms, however, it is not clear how they will participate in bringing GAI to enterprises and grow the impact of AI-exposure in their business models.
In 2024, we are watching the pace at which companies will be moving more of their data to the cloud and enabling innovation with AI in enterprises. We are interested to see how the partnership between Oracle and Microsoft could help to drive more organizations to the cloud and set up their enterprises for integrating AI into their workflows. Through its data sharing and analytics capabilities, Snowflake is likely to play a role in the roll out of the AI ecosystem. Snowflake’s clients seem to be increasingly aiming to de-silo their data and organizations to understand how best to serve their customer base. As more customer relationship data moves to the cloud and into Snowflake for sharing and AI, it will be interesting to see if Zeta Global will continue to benefit from these dynamics happening in different parts of the tech stack.
Will Q1’s winners continue to drive the Visible Alpha AI Monitor for the rest of 2024?
AI Monitor Goals and ObjectivesThe objective of the Visible Alpha AI Monitor is to show the investment community which companies are likely to drive AI going forward. As the world embraces AI and its applications to enterprise workflows and our daily lives, big questions exist about how AI’s impact on company business models will unfold over the next 3-5 years. AI can potentially free people from tedious gruntwork to enable more focus on critical workflows that require human creativity and analysis. A primary goal of the Visible Alpha AI Monitor is to show which U.S. companies and specific line items we are keeping an eye on as the embryonic AI theme emerges across company fundamentals and begins to scale broadly across the economy. We are monitoring how AI may be reflected in the numbers and which companies may be benefitting more or less. This universe attempts to be comprehensive and to show investors the dynamics of both the large and smaller U.S. players. Additionally, it aims to help investors identify new names that may be smaller and less covered, but potentially growing and emerging more quickly. AI Monitor MethodologyUsing Visible Alpha’s comprehensive database of detailed estimates pulled directly from sell-side analysts’ spreadsheet models, we have assembled an aggregation with a universe of 69 publicly-traded companies that are contributing to the infrastructure and broad scaling of AI capabilities. This monitor aims to provide a current and future snapshot as to where AI-related revenues are and are not growing across each of these 69 companies, and particularly the 10 largest. We have aggregated the revenues of specific business segments at firms that are driving the wider AI trend. For larger firms, we have attempted to pinpoint where in their revenue model AI is driving growth. For some smaller firms, we are simply incorporating 100% of revenues. The AI-exposed revenue lines we identify are intended to be used as a proxy for monitoring the growth of each company’s AI business. Given both lack of discrete company disclosures and how intertwined AI and conventional technologies and services can be, these lines should not be taken as exact quantifications of AI revenues, but are, we believe, the best systematic approximation available. The AI Monitor provides three measures of stock performance for its universe. These metrics are meant to show the returns of various weighting schemes. The returns are calculated on both an equal-weighted and market-cap weighted basis. The universe performance of the AI Monitor is also weighted based on AI-exposed revenues and calculated in aggregate. From 2024, the return calculations were standardized and market-cap-weighted now reflects year-over-year changes. For Visible Alpha subscribers, details of these companies can all be found within the Visible Alpha Insights platform. Each company included in the monitor has coverage by at least four sell-side analysts. In addition, given the quickly evolving state of the AI space, these line items are subject to change and may shift significantly over time. We plan to refresh the data on an ongoing basis and provide regular updates. |
Data Centers, Gaming, and AI: Nvidia’s Fiscal Q4 2024 Earnings
By: Melissa Otto, CFA
Nvidia Corp. (NASDAQ: NVDA) reported fiscal Q4 2024 results on Wednesday, February 21, 2024. What happened during the release and earnings call, and what are the key points to focus on?
Nvidia’s Q4 2024 earnings release
Nvidia delivered total revenues for Q4 of $22.1 billion, beating Visible Alpha’s consensus estimate of $20.5 billion by over $1.5 billion, driven by continued revenue growth of Nvidia’s Data Center segment. The segment saw its Q4 revenue surge to $18.4 billion, nearly $1.5 billion ahead of the $16.9 billion consensus estimate coming into the quarter. This revenue surge has continued to be driven by strong demand for Nvidia GPUs, particularly from cloud service providers. In addition, the company noted that 40% of the Data Center revenues are now from AI inferencing. The Data Center segment saw its non-GAAP gross margin increase from 76% in Q2 to 79% in Q4, exceeding FY 2022 levels of 78%. This drove a beat on the EPS line with non-GAAP diluted EPS of $5.16/share.
The Gaming segment’s non-GAAP gross margin increased another 200 basis points from 57% in Q2 to 59% in Q4, returning to FY 2022 levels. Currently, consensus revenue projections for the Gaming segment for FY 2025 is $11.5 billion. This business remains dwarfed by the significant 8X projected revenue size and growth in the Data Center business in FY 2025. Beyond the Data Centers, could there be a catalyst for revenue expansion in the Gaming segment? Could the margin in the Gaming segment catch up to the 70s levels seen in the Data Center business?
China update
Toward the end of the last quarter, the U.S. government instituted new regulations and requirements that have impacted Nvidia’s China business. According to the Q3 Nvidia earnings call, the company noted that the U.S. government announced a new set of export control regulations for China and a few other markets. Nvidia management explained that these regulations require licenses for the export of some Nvidia products, including the Hopper and Ampere 100 and 800 series. According to CFO Colette Kress, the Data Center business declined significantly in China in Q4, but the company has started shipping alternatives that do not require a license for the China market. CEO Jensen Huang further explained that Nvidia reconfigured its products in a way that will allow it to compete within the specifications of the new China restrictions.
Figure 1: Nvidia – past earnings and the outlook
Source: Visible Alpha consensus (February 26, 2023)
The outlook
Near-term growth
For fiscal Q1 2025, Nvidia guided nearly 10% ahead of expectations to $23.5-24.5 billion in total revenue, with analysts now projecting the Data Center segment to make up $20.9 billion, up from $18.3 billion. In addition, Nvidia guided total gross margin to continue to be around 77% levels, driven by demand continuing to outstrip supply in the Data Center business.
Looking further out, analysts remain bullish on the Data Center segment. Since the Q4 release last week, analysts have increased their Data Center revenue estimates another $4 billion for FY 2025, driven by continued optimism around GPU demand. According to Visible Alpha consensus, revenues from this business are expected to double from FY 2024 to nearly $96 billion. These upward revisions are estimated to drop directly to operating profit and, ultimately, EPS.
P/E debate: The range of Data Center estimates
The range of estimates has narrowed by nearly 50% for the Data Center business in FY 2025, suggesting the market has increased conviction in the direction of this segment this year. However, for FY 2026, the range of estimates remains substantial and implies that there is significant debate about Nvidia’s growth outlook. The top-end estimate expects $182.6 billion, while the low-end estimate is at $95.8 billion for the Data Center segment. Non-GAAP diluted consensus EPS for FY 2026 is now projected to be $29.5/share, up 23% from November 21, but ranges from $20.1/share to $41.9/share with current P/E ratios at 39X to 19X.
NVDA stock has traded up nearly 17% since last week’s earnings release, and is up close to 62% since the Q3 release. Will the Data Center business continue to beat expectations in FY 2025 and continue to drive upside in the stock?
Figure 2: Nvidia consensus estimates
Source: Visible Alpha consensus (February 26, 2024). Stock price data courtesy of FactSet. Nvidia’s current stock price is as of the market close on February 23, 2024.
Long-term growth
Toward the end of the earnings call, CEO Jensen Huang gave his optimistic estimation of the direction of the market over the next five years. He highlighted that software is necessary for accelerated computing, and this need will support the company’s continued growth. In addition, he called out that he believes the move to accelerated computing and generative AI will drive a doubling of the world’s Data Center infrastructure installed base and will represent an annual market opportunity in the hundreds of billions.
Figure 3: Nvidia’s $1 trillion opportunity: Launched by Cloud Service Providers’ early adoption driving the first leg of growth
Source: Nvidia (February 26, 2024)
Nvidia (NVDA) Earnings Preview: Fiscal Q4 2024
By: Melissa Otto, CFA
Nvidia Corp. (NASDAQ: NVDA) will report fiscal Q4 2024 results on Wednesday, February 21, 2024, after the market close. Here are the key numbers that we’re watching.
Figure 1: Nvidia – consensus expectations for Q4 2024, past earnings surprises, revisions, and CAGR
Source: Visible Alpha consensus (February 14, 2024). “Previous Surprises” indicate the direction that specific line items beat or missed. “Consensus Revisions” show the trajectory of line items from a given date.
Nvidia Q4 2024 earnings preview
According to Visible Alpha consensus, total revenues of $20.5 billion expected for Q4 2024 have not moved much from Q3 in November 2023. Overall growth continues to be driven by optimism about the strength of Nvidia’s Data Center segment. This segment has seen its expected top line performance for Q4 increase from a mere $4.9 billion in January 2023 to its current projection of $16.9 billion, up nearly 3.5x. This revenue surge has been driven by strong demand for its GPUs from Cloud Service Providers, and the move to accelerated computing in the data centers for AI.
While the pace of analysts’ upward revisions to the Data Center segment has stabilized since the Q3 release in late November, it will be important to see how Nvidia guides the market for Q1 and FY 2025, and to what extent higher pricing and volumes will be expected to continue.
Currently, there is significant debate about the performance of the Data Center segment. Based on Visible Alpha consensus, this business is projected to generate $18.3 billion in revenues in Q1 2025. For FY 2025, Visible Alpha consensus for this segment has increased an additional $5 billion to $84 billion since the Q3 release in November 2023. However, the estimates range from $65.4 billion to $121.2 billion.
The stock has traded up an incredible 43% since last quarter’s November release, and is up nearly 400% since January 2023. Could the Q4 release provide the next positive catalyst for the stock or are the expectations largely priced in for now?
Figure 2: Nvidia consensus estimates
Source: Visible Alpha consensus (February 14, 2024). Stock price data courtesy of FactSet. Nvidia’s current stock price is as of the market close on February 13, 2024.
The longer-term outlook for AI
Jensen Huang, CEO of Nvidia, and Sam Altman, CEO of OpenAI, joined Omar Al Olama, the UAE’s Minister of AI, for lively discussions about the future of AI at the World Governments Summit in Dubai, UAE.
Figure 3: Nvidia CEO Jensen Huang and OpenAI CEO Sam Altman
Source: World Governments Summit in Dubai (February 12-14, 2024)
Both Altman and Huang highlighted the magnitude of this new technology cycle. Huang explained that the move to accelerated computing is what will enable AI to scale and noted that advances will help costs come down for customers. He also highlighted that Nvidia is the only platform that democratizes AI, because the CUDA architecture has the ability to adapt. CUDA’s versatility enables Nvidia to be in every cloud and every data center all the way out to the edge and to autonomous systems for robotics and self-driving cars. Altman explained that in a few more years ChatGPT will be much better than it is now, and in a decade it should be remarkable.
Huang and Altman see a significant expansion in the addressable market that should continue to benefit Nvidia and Microsoft directly. As generative AI blossoms across enterprises and, longer-term, to heavy industry, what will be the true magnitude of Data Center growth over time?
Looking ahead to FY 2026, Nvidia’s Data Center segment revenue expectations are at $103.6 billion, an increase of $57 billion from FY 2024, according to Visible Alpha consensus. However, the estimates range from $76.7 billion to $197.4 billion, a difference of over $120 billion.
Figure 4: Nvidia’s key financial items
Source: Visible Alpha consensus (February 15, 2024)
Key Questions About Alphabet (GOOGL) Q4 2023 Earnings
By: Melissa Otto, CFA
Alphabet Inc. (NASDAQ: GOOGL) reported earnings for Q4 2023 after the market close on Tuesday, January 30, 2024. What happened during the release and earnings call, and what’s next?
Ads revenue was disappointing: Is the profitability of this business sustainable?
Alphabet reported earnings a bit below expectations for Q4 2023, driving the stock down more than 6% after the release. Alphabet’s core business of Search and YouTube delivered revenues in line with consensus expectations, while the Network search businesses together were -3% below expectations. On an FX-neutral basis, the ad segment only grew 2%, driven only by retail promotions and APAC. Looking ahead to Q1, the company noted on the earnings call that they expect the Ads business to continue to see consumer cost consciousness drive promotional activity.
Given the strong pace that AI is gaining momentum, there are questions about the sustainability of the Ads business model for Alphabet. Based on Visible Alpha consensus, analysts are expecting Google Advertising revenue to be $305 billion by FY 2026, up 28% from FY 2023 levels. Is this too aggressive?
Operating margin was disappointing: How much cost will be pulled out of the business?
The overall operating profit margin of 27.5% for Alphabet came in 60 basis points below Visible Alpha consensus expectations, driven by a combination of higher-than-expected losses in Unallocated businesses. Coming into the quarter, analysts were expecting Alphabet’s level of losses for the Other Bets and Unallocated segments to remain around $2.4 billion, but these surged to nearly $4 billion, driven by reduction in force costs. On the earnings call, the company noted a further $700 million severance expense in Q1.
Ruth Porat, President and Chief Investment Officer, explained that the company will continue to streamline operations, its real estate portfolio, and its vendor spend, supporting slower expense growth. It is worth noting that the company still has not announced a new CFO to replace Porat. Operating expenses currently hover around $90 billion, but are expected to continue to grow to $105 billion by FY 2025, according to Visible Alpha consensus. Research & Development and Sales & Marketing costs make up 80% of the company’s expense base. How will Alphabet continue to drive innovation and competitive positioning in the Ads and Search businesses while reducing costs?
The Cloud bounced in Q4: Will it hit $50 billion in revenues and an 11% margin in FY 2025?
The Cloud business showed quarter-on-quarter improvement with revenues that beat consensus by 2.7%, driving a 9% operating profit margin. In particular, the Cloud business appeared to benefit from cost optimizations getting worked through, combined with the early adoption of AI solutions.
Looking ahead, the revenue growth from the Cloud business is expected to be an outsized chunk of Alphabet’s total revenue growth for FY 2024, meaning it is growing at a much faster 20-25% pace than the 10% expected year-over-year growth for Alphabet’s core Search and YouTube revenue streams. Compared to last quarter, expectations for Cloud sales did not change much after the Q4 earnings release. Cloud revenues are projected to be $41 billion in FY 2024 and $50 billion in FY 2025. However, Visible Alpha consensus estimates for operating profit margin coming into the quarter jumped significantly after the earnings release from 6% to 9% in FY 2024 and from 9% to 11% in FY 2025. Is it too soon to assume that Cloud margin will remain at or above Q4’s 9% level?
Playing catch-up in AI: Cash decline and a CapEx surge
In order to catch up to competitors in the AI space, further investments and CapEx are required.
While the company has a strong cash position of $111 billion, it is worth flagging that this number is down nearly $10 billion from $120 billion in Q3, and its lowest level since FY 2018.
In Q4, CapEx jumped more than expected by $3 billion quarter-on-quarter to $11 billion, “driven overwhelmingly by investment in technical infrastructure, with the largest component for servers, followed by data centers,” according to Ruth Porat on the earnings call. Porat further explained that this uptick in CapEx reflects Alphabet’s “outlook for the extraordinary applications of AI to deliver for users, advertisers, developers, Cloud enterprise customers, and governments globally and the long-term growth opportunities that it offers.”
In addition, Porat guided for CapEx to be “notably larger” in 2024, implying that investment is going to be pulled forward and seems to be chasing Microsoft. Microsoft’s CapEx started to surge meaningfully last year and is projected to hit $42 billion, which likely enabled it to take a lead in AI. Based on Visible Alpha consensus, Alphabet’s CapEx is expected to surge by $11 billion from $32 billion in FY 2023 to $43 billion in FY 2024, which now matches Microsoft’s CapEx levels. Longer term, too, Alphabet’s CapEx expectations jumped to $48 billion in FY 2026, up from $43 billion last quarter. Will Alphabet’s investments in AI start to give it an edge without burning more cash?
Figure 1: Key Financials for Alphabet
Source: Visible Alpha consensus (January 31, 2024)
Thoughts on the OpenAI & Microsoft (MSFT) Partnership
By: Melissa Otto, CFA
OpenAI and Microsoft
In an unusual series of announcements, OpenAI CEO Sam Altman was ousted, hired by Microsoft and then brought back to OpenAI under a different Board within a week. According to OpenAI’s LinkedIn post on November 22, “We have reached an agreement in principle for Sam Altman to return to OpenAI as CEO with a new initial board of Bret Taylor (Chair), Larry Summers, and Adam D’Angelo.” It should be noted that LinkedIn is owned by Microsoft and that the OpenAI blog has not been updated since November 17, 2023. This situation highlighted the complexities of a combined for-profit and non-profit entity, and how governing the future of Artificial General Intelligence, AGI, would be no easy task.
Overall, Microsoft’s (MSFT) stock continued to grind higher throughout the turmoil at OpenAI. Microsoft shares traded down slightly on November 21-22, 2023, the peak of the OpenAI drama, but regained their resilience, closing at this year’s high today. Since the company’s earnings release on October 24, 2023, the stock increased 14%, driven by upward revisions to FY 2025 and FY 2026 estimates, especially in its Intelligent Cloud segment.
Figure 1: Key Consensus Trends for Microsoft
Source: Visible Alpha consensus (November 27, 2023). Stock price data courtesy of FactSet. Microsoft’s current stock price is as of the market close on November 24, 2023.
Thoughts on the new OpenAI Board
Based on my own Board experience, the board at OpenAI likely had a fiduciary duty to remain objective, make decisions to minimize risks and protect the organization. This desire to contain and remove the risks may have been what prompted the original OpenAI board to move quickly to remove Altman. In addition, the OpenAI board’s potential need to maintain confidentiality may have led it to operate in a relatively opaque way, which means we will likely never really know the facts behind this surprising story.
The decisions that unfolded after the ousting of Altman might have been driven by the potential of OpenAI and its valuation. After Altman’s firing, approximately 750 employees threatened to leave OpenAI. Given Microsoft’s substantial investment in the firm, it was no surprise that CEO Nadella, moved aggressively to try to bring on these key employees from OpenAI, likely for a much lower price tag than simply acquiring the organization for an estimated valuation of $80-90 billion. This move also would have given Microsoft full control over the OpenAI engineers, instead of OpenAI.
In a twist last week, the board at OpenAI was reshuffled and Altman brought back, which seemed to have quieted down the situation and moved it out of the public eye. In addition, bringing Altman back might be the least risky choice under the new OpenAI board, given his deep knowledge of AGI and the issues between OpenAI and Microsoft.
The current, new board is very different from the previous one. First, bringing on Larry Summers, former president of Harvard University and U.S. Treasury Secretary, to the new OpenAI board demonstrates a commitment to bringing a seasoned professional who should be able to triangulate the various issues of this emerging technology with business, government and higher education. Having heard Summers speak on numerous occasions, he is a straight-shooting economic pundit and strong voice that will hopefully be complemented by tech leaders, Bret Taylor, former CEO of Salesforce, and Adam D’Angelo, previous board member of OpenAI and co-founder and CEO of Quora. It will certainly be interesting to see how OpenAI, AGI and this new board evolve over the next year.
Nvidia (NVDA) Q3 2024 Earnings
By: Melissa Otto, CFA
Nvidia Corp. (NASDAQ: NVDA) reported fiscal Q3 2024 results on Tuesday, November 21, 2023, after the market close. What happened during the release and earnings call, and what are the key questions to focus on?
Figure 1: Nvidia – past earnings, Q3 and the outlook
Source: Visible Alpha consensus (November 27, 2023).
Nvidia Q3 Earnings Release
Nvidia delivered total revenues for Q3 of $18.1 billion, beating Visible Alpha’s consensus estimate of $16.2 billion by nearly $2 billion, driven by continued revenue growth of Nvidia’s Data Center segment. The Data Center segment saw its Q3 revenue surge to $14.5 billion, nearly $1.7 billion ahead of the $12.8 billion consensus estimate coming into the quarter. This revenue surge has continued to be driven by strong demand for Nvidia GPUs, particularly from Cloud Service Providers. The Data Center segment saw its non-GAAP gross margin increase from 76% in Q2 to 78% in Q3, returning to FY 2022 levels. This drove a beat on the EPS line with non-GAAP diluted EPS of $4.02/share.
The Gaming segment’s non-GAAP gross margin also increased 200 bps from 57% in Q2 to 59% in Q3, also returning to FY 2022 levels. Currently, the Gaming segment consensus revenue for FY 2024 is $10.3 billion. This business remains dwarfed by the significant 4.5x revenue size and growth in the Data Center business. Beyond the Data Centers, could there be a catalyst for revenue expansion in the Gaming segment? Could the margin in the Gaming segment catch up to the 70s levels seen in the Data Center business?
Nvidia’s China Impact
Toward the end of the quarter, the U.S. government instituted new regulations and requirements that will impact Nvidia’s China business. According to the Q3 Nvidia earnings call, the Company noted that the U.S. government announced a new set of export control regulations for China and a few other markets. Nvidia management explained that these regulations require licenses for the export of some Nvidia products, including the Hopper and Ampere 100 and 800 series. According to CFO Colette Kress, the U.S. government designed the regulation to allow the U.S. industry to provide data center compute products to markets worldwide, including China.
CFO Kress further explained that Nvidia’s sales to China and other affected destinations derived from products that are now subject to licensing requirements have consistently contributed approximately 20% to 25% of data center revenue over the past few quarters. Based on past Data Center revenues, the exposure would be approximately $6-7 billion. In the Q&A session, CFO Kress further highlighted that the export controls will have a negative effect on Nvidia’s China business, and the Company does not have good visibility into the magnitude of that impact even over the long term.
The Outlook
For Q4, Nvidia guided to $19.6-20.4 billion in total revenue with the Data Center segment projected to be up from Q3. The regulatory announcements around China impacted the Q4 guidance. According to CFO Kress, Nvidia sales to China and the other impacted destinations will decline substantially in the fourth quarter, though the Company believes that this will be more than offset by strong growth in other regions. In addition, Nvidia guided total gross margin to continue to be around 75% levels, driven by the strength in the Data Center business.
Looking further out, analysts remain bullish on the Data Center segment. Since the Q3 release last week, analysts have increased their estimates another $8 billion for both FY 2025 and FY 2026 to the Data Center business, driven by continued optimism around GPU demand. These upward revisions are estimated to drop directly to operating profit and, ultimately, EPS. Non-GAAP diluted EPS for FY 2026 is now projected to be $24/share, up 13.6% from November 21.
The stock has traded down slightly since the November earnings release, which may be partially attributed to the Thanksgiving holiday in the U.S., but is up over 225% year to date. Could the FY 2025 outlook in the Q4 release provide the next positive catalyst for the stock?
Figure 2: Nvidia consensus estimates
Source: Visible Alpha consensus (November 27, 2023). Stock price data courtesy of FactSet. Nvidia’s current stock price is as of the market close on November 22, 2023.
Nvidia (NVDA) Q3 2024 Earnings Preview
By: Melissa Otto, CFA
Nvidia Corp. (NASDAQ: NVDA) will report fiscal Q3 2024 results on Tuesday, November 21, 2023, after the market close. Here are the key numbers that we’re watching.
Figure 1: Nvidia – consensus expectations for Q3, past earnings surprises, revisions, and CAGR
Source: Visible Alpha consensus (November 15, 2023). “Previous Surprises” indicate the direction that specific line items beat or missed. “Consensus Revisions” show the trajectory of line items from a given date.
Nvidia Q3 Earnings Preview
According to Visible Alpha consensus, total revenues expected for Q3 have come up substantially from the beginning of the year, from $7.7 billion to $16.2 billion, driven by increased optimism about the revenue growth of Nvidia’s Data Center segment. This segment has seen its expected top line performance for Q3 increase from a mere $4.6 billion in January to its current projection of $12.8 billion, up 2.8x from the beginning of the year. This revenue surge has been driven by strong demand for its GPUs from Cloud Service Providers, and the move to accelerated computing in the data centers for AI.
While the pace of analysts’ upward revisions to the Data Center segment has stabilized since the Q2 release in late August, it will be important to see if there is another leg up for estimates, driven by higher pricing and volumes, as the Company heads into Q4 and FY 2025. Currently, estimates for FY 2024 have increased an additional $1 billion to $55 billion since the Q2 release, with most of the anticipated additional increase falling in the Q4.
The stock has traded up 5% since last quarter’s July release but is up over 230% year to date. Could the Q3 release provide the next positive catalyst for the stock?
Figure 2: Nvidia consensus estimates
Source: Visible Alpha consensus (November 15, 2023). Stock price data courtesy of FactSet. Nvidia’s current stock price is as of the market close on November 14, 2023.
Microsoft Ignite and the Longer-Term Outlook
Nvidia CEO Jensen Huang made an appearance at the Microsoft Ignite conference on November 15, 2023 to discuss the new Nvidia Generative AI (GAI) Foundry Service and the co-inventing partnership with Microsoft where Nvidia’s native stack is hosted on Azure. Huang celebrated the collaborative partnership with Microsoft that helps users create GAI models and will help to amplify Nvidia’s overall ecosystem.
Looking ahead to FY 2025, consensus revenue expectations are at $84 billion, a year-over-year increase of $29 billion, driven almost exclusively by the Data Center segment. But is all the growth already priced in? Huang sees a significant expansion in the addressable market that should continue to benefit Nvidia directly. As GAI blossoms across enterprises and longer-term to heavy industry, both companies are likely to benefit mutually from the growth over time.
Figure 3: Microsoft CEO Satya Nadella and Nvidia CEO Jensen Huang at Microsoft Ignite
Source: Microsoft Ignite (November 15, 2023)
