New Deals Show AI Compute Spend Keeps Growing

Key Concepts

• Artificial Intelligence (AI): A broad field of computer science focused on creating intelligent machines that can perform tasks typically requiring human intelligence.
• Generative AI: A type of AI that can create new content, such as text, images, music, and code.
• Compute: Refers to the processing power and computational resources required to run AI models and applications.
• Capital Expenditure (CapEx): Funds used by a company to acquire, upgrade, and maintain physical assets such as property, buildings, technology, or equipment.
• Depreciation: The decrease in value of an asset over time.
• Net Working Capital (NWC): A measure of a company's liquidity, operational efficiency, and short-term financial health.
• Cloud Provider: A company that offers cloud computing services, such as storage, computing power, and software, over the internet.
• Data Centers: Facilities that house computer systems and associated components, such as telecommunications and storage systems.
• Return on Investment (ROI): A performance measure used to evaluate the efficiency of an investment or to compare the efficiency of a number of different investments.
• Valuation Multiples: Financial ratios used to determine the value of a company.
• Small and Medium-sized Businesses (SMBs): Businesses that fall within certain thresholds for revenue, assets, or number of employees.
• Infrastructure as a Service (IaaS): A cloud computing model that provides virtualized computing resources over the internet.
• Software as a Service (SaaS): A software distribution model in which a third-party provider hosts applications and makes them available to customers over the Internet.

Investment Holdings and AI's Impact

The discussion centers on the significant impact of Artificial Intelligence (AI) on major technology companies and investment portfolios. The speaker highlights their top holdings, including Microsoft, Broadcom, and Alphabet, as key beneficiaries of the AI boom. These companies are seen as well-positioned to capture growth and serve as platforms for economic expansion driven by AI.

Key Points:

• AI as a Productivity Driver: AI is viewed as a substantial driver of productivity.
• Platform for Growth: Companies like Microsoft, Broadcom, and Alphabet are expected to be the platforms for future economic growth due to their AI capabilities.
• New Use Cases for AI: The speaker is looking for the emergence of new AI use cases beyond individual chatbot interactions. The vision is for thousands of AI agents per company to make decisions, execute tasks, and unlock labor potential.
• NVIDIA's Role: NVIDIA is frequently mentioned, with references to its involvement in approximately three compute deals on a single Monday, underscoring its critical role in providing the necessary hardware for AI.

Amazon's AI Strategy and Cloud Prowess

Despite not having direct exposure to Amazon in their portfolio, the speaker acknowledges Amazon's recent deal with OpenAI and its potential in the AI space.

Key Points:

• Positive Earnings Report: Amazon recently had a strong earnings report, indicating renewed momentum.
• Accelerating NWC: The company is accelerating Net Working Capital (NWC), which is seen as positive for the business.
• Leveraging AI: Amazon is well-positioned to leverage AI in its e-commerce operations and to act as an infrastructure provider.
• Not to be Counted Out: The speaker believes Amazon should not be underestimated in the AI landscape.

Micron's Performance and Capital Expenditure

Micron, a company that has faced challenges, is discussed in the context of capital expenditure (CapEx) and its long-term investment potential.

Key Points:

• Long-Term Investment: Micron is considered a long-term investment.
• Market Digesting CapEx: The market is currently digesting Micron's heightened CapEx and the associated depreciation.
• Short-Term vs. Long-Term View: The speaker suggests that focusing on short-term CapEx and depreciation might be too myopic, as long-term returns are expected.
• Digital Formats and Scale: Micron has digital formats to leverage AI at a tremendous scale across its customer base, including SMBs.
• Customer Reach: The company provides significant ability for businesses to reach customers, exemplified by its role in ad campaigns.

Microsoft's Demand and Expansion

The transcript includes a quote from Brad Smith, President of Microsoft, emphasizing the overwhelming demand for compute power and Microsoft's commitment to meeting it.

Key Points:

• Keeping Pace with Demand: Microsoft's biggest challenge is not over-investing but keeping pace with the immense demand for compute capacity from enterprises, governments, and nonprofits.
• Investment for Shareholder Return: Building out this capacity is expected to lead to returns for shareholders.
• Geographic Expansion: Microsoft is expanding geographically, including investments in the Middle East.
• Collaboration with Neo Cloud Providers: Microsoft's deal with an Australian neo cloud provider for data centers is seen as a strategic move.
• Flexibility and Nimbleness: Collaborating with neo cloud providers allows Microsoft to be flexible and nimble, especially given the complexity of standing up data centers.
• Ecosystem Collaboration: This collaboration is a testament to the strong demand signals and the rapid growth of AI workloads.

Profit Taking and Bottlenecks in Memory

The discussion touches upon when to take profits from high-performing stocks and the strategic importance of investing in areas with scarcity.

Key Points:

• Managing Position Sizes: The speaker differentiates between managing position sizes and taking profits.
• Investing in Bottlenecks: The strategy is to invest in areas with bottlenecks due to scarcity, where performance is critical.
• Memory as a Critical Component: Memory (e.g., DRAM) is becoming increasingly scarce and is a critical component in AI infrastructure.
• Compounding Value: Companies in the memory sector have the opportunity to compound value over time.

Alphabet's Debt Financing and Infrastructure Longevity

Alphabet's decision to sell debt in Europe and the US is analyzed, along with the lifespan of IT infrastructure.

Key Points:

• Novel Financing Strategy: Alphabet's debt financing is described as novel.
• Strong Cash Generation: The company's strong cash generation supports this investment.
• Smart Investment: The debt financing is considered a smart investment.
• Longer-Lived Assets: IT infrastructure assets are likely longer-lived than commonly perceived, potentially having a lifespan of five to six years rather than three years of obsolescence.
• Revenue Generation: These infrastructure assets are revenue-generating and contribute to productivity.

Valuations, Macro Headwinds, and Palantir

The conversation addresses concerns about elevated valuations of tech companies and the challenges they face, with Palantir highlighted as a key player in AI implementation.

Key Points:

• Elevated Multiples: Many tech companies are trading at very high valuation multiples, requiring continued growth delivery.
• Palantir's AI Implementation: Palantir is at the forefront of implementing AI, starting with government contracts and now experiencing rapid growth in its commercial business.
• Government Shutdowns: Government shutdowns are considered a temporary factor that might be overlooked due to their recurring nature.
• Driving ROI for Customers: The key for companies like Palantir is to drive significant ROI for their customers by connecting their data.
• IT Services Shift: There's a shift in IT services towards providing solutions and engineers for customers, rather than just off-the-shelf SaaS products.

Conclusion

The overarching theme is the transformative power of AI, driving significant investment and growth in major technology companies. While valuations are high, the underlying demand for compute and AI-driven productivity is immense. Companies that can effectively leverage AI, manage their capital expenditure strategically, and address critical bottlenecks in areas like memory are well-positioned for long-term success. The discussion also highlights the importance of adapting to evolving IT service models and the potential for infrastructure assets to have a longer useful life than often assumed.