AI: ‘these are good concerns,’ says Brian White

Here's a comprehensive summary of the provided YouTube video transcript:

Key Concepts

• AI Selloff: A recent downturn in the stock prices of Artificial Intelligence-related companies.
• Valuations: The assessment of a company's worth, particularly in the context of its stock price relative to its earnings or assets.
• Near-Term Peak Earnings: The possibility that current high earnings for some companies, especially in the chip sector, might be at their highest point in the immediate future.
• Circular Deals: A potentially concerning accounting practice where companies engage in transactions that appear to inflate revenue or profits without genuine economic substance, reminiscent of practices seen in the dot-com bubble (e.g., Cisco in 2000).
• Server Life Accounting/Depreciation: The accounting method used to spread the cost of an asset (like servers) over its useful life. A debate exists on how long these assets should be depreciated, with some arguing for longer periods to boost reported profits. Depreciation is a non-cash expense, meaning it doesn't directly impact cash flow.
• Software Stacking: The practice of layering software applications, which can extend the lifespan of hardware.
• Metaverse: A persistent, shared, 3D virtual space.
• "Maturation of Zuckerberg": A term used to describe Mark Zuckerberg's perceived shift in strategy and focus, particularly regarding the metaverse.
• AI Pariah: A company that is perceived negatively or is overlooked in the context of AI advancements.
• Next-Generation Databases: Advanced database systems designed to handle modern applications, including AI and next-generation apps.
• Snowflake (SNOW): A cloud-based data warehousing company.
• Oracle: A company providing database software and technology, cloud systems, and enterprise software products.
• OpenAI: An artificial intelligence research laboratory.
• Nvidia: A technology company known for its graphics processing units (GPUs), which are crucial for AI.
• Alphabet (Google): A technology conglomerate.

AI Selloff and Market Concerns

The discussion begins with the view that the recent AI stock selloff is a "healthy" market correction, acknowledging that some concerns are "valid."

1. Valuations:

• While valuations for AI companies are described as "a little stretched," they are not considered "obscene" for every company.
• A key concern is the potential for "near-term peak earnings," particularly in sectors like chips, rather than software.

2. Circular Deals and Accounting Practices:

• The transcript references historical parallels to the dot-com era, specifically mentioning Cisco in 2000, where similar "circular deals" were flagged as a "red flag."
• While these practices can appear "sketchy," the companies involved are often "profitable" and have "a lot of money," suggesting they can withstand scrutiny.
• A significant debate revolves around "server life accounting" and depreciation. The question is raised: "How long do these things have to last? Three years five years forever?"
• The argument is that extending depreciation periods can artificially boost profits. However, a crucial counterpoint is that depreciation is a non-cash expense and "doesn't impact cash flow." It positively affects profit but not immediate cash generation.
• The role of "software stacking" in extending hardware life is acknowledged, but the rapid emergence of AI and new processors like GPUs may shorten server lifespans, potentially negating this effect.

Meta's Metaverse Pivot and Financials

A significant portion of the discussion focuses on Meta Platforms (Facebook) and its metaverse investments.

1. Deep Cuts and Financial Performance:

• Meta plans "deep cuts" in its metaverse division, potentially around 30%.
• This move is compared to past instances where Facebook's stock crashed, followed by a strategic pivot that led to a stock reversal.
• The metaverse business is described as losing "$4.3 billion a quarter" in the third quarter, with "less than 500 million in revenue."
• Total losses since Q4 2020 are stated to be "$73 billion."
• This is characterized as an "absurd" situation, with Mark Zuckerberg's pursuit of the metaverse likened to Captain Ahab's obsession with Moby Dick.

2. Strategic Shift and Analyst Outlook:

• The interviewer suggests Zuckerberg has "got religion" and knows "how to pivot" when his stock declines.
• The analyst believes Zuckerberg is "right if he can look at a decade," but acknowledges he "can't do both" (invest heavily in the metaverse and capitalize on AI simultaneously).
• The analyst's price target for Meta was lowered from $860 to $808 due to "higher spending next year" on the metaverse, despite revenue increases and profit decreases.
• The 30% cut is seen as a positive development that warrants further observation.

Preferred AI Investment Areas: "The A's" and Underdogs

The analyst bifurcates their investment preferences within the AI space, favoring "big tech picks that are somewhat overlooked" and "underdogs."

1. "The A's" (Overlooked Big Tech):

• Amazon: Described as an "AI pariah" despite having its own chips and putting up a "phenomenal quarter." The company is noted for its significant chip purchases, including from Anthropic.
• Apple: Has made a "hell of a comeback" driven by higher iPhone sales. The analyst is surprised by the continued demand for new iPhones. Apple's long-term strategy focusing on "privacy" and "Apple intelligence" is seen as a winning approach. Tim Cook is credited for this success.

2. Underdogs (Emerging Companies):

• Datadog: Mentioned as a company that "crushed it this week" and was present at an AI conference in Las Vegas.
• Explanation of Datadog: It's described as a "next generation database" company, essential for building applications, especially AI and next-gen apps. The company currently derives "almost no revenue" from AI, but is positioned to benefit significantly.
• Snowflake (SNOW): Despite beating expectations and seeing its stock rise, the company's new CFO and a "conservative outlook on margins" for the January quarter "upset people." The analyst dismisses this concern, stating, "You can't have AI without data and Snow does that."

Neutral Ratings: Google and Oracle

The analyst holds "neutral" ratings on two prominent companies, Google and Oracle, despite their significant involvement in AI.

1. Google (Alphabet):

• Despite being declared a "winner of AI," a potential "destroyer of OpenAI," and possibly "Nvidia," Google receives a neutral rating.
• Reasons cited include the stock having "come too far, too fast" and the ongoing "threat to what OpenAI is doing at everyone else to search." The antitrust case going away is noted as a positive, but the search threat remains.

2. Oracle:

• Oracle experienced a significant price drop due to its debt but received a "big upgrade yesterday."
• The analyst expresses a dislike for the current situation, citing "big deals" where "maybe some of that doesn't come through" (e.g., $300 billion of the $500 billion pipeline is with OpenAI).
• Concerns include rising debt and negative cash flow for the first time in 20 years.

Conclusion

The overall sentiment is that while AI valuations are stretched and some accounting practices warrant scrutiny, the underlying technology and companies are strong. The market is undergoing a healthy correction, allowing investors to identify strong performers like Meta (after its pivot), overlooked giants like Amazon and Apple, and promising underdogs like Datadog and Snowflake. However, caution is advised for companies like Google and Oracle due to specific market dynamics and financial concerns, despite their AI involvement. The analyst, Brian White, is presented as having a strong track record ("You're killing it").