Why oil could be next year’s gold | TCAF 219
By The Compound
Here's a comprehensive summary of the YouTube video transcript, maintaining the original language and technical precision:
Key Concepts
- AI Stock Reversal: The rapid sell-off and subsequent rebound in AI-related stocks.
- Market Differentiation: The market's increasing ability to distinguish between winners and losers within the AI sector.
- Google vs. OpenAI: The competitive landscape between Google's AI infrastructure and OpenAI/Microsoft's ecosystem.
- Speculative Short ETF Volume: A metric indicating extreme bearish sentiment, often preceding market bottoms.
- Investor Flows: Shifts in capital allocation towards defensive assets during periods of uncertainty.
- Small Cap Performance: The potential for small-cap stocks to benefit from anticipated Fed rate cuts.
- Private Credit: Concerns regarding the quality of loan books and the impact of interest rate changes.
- Technological Change: The rapid pace of innovation in technology and its implications for investors.
- Capital Intensity: The increasing level of capital expenditure required for AI infrastructure build-out.
- Valuation Metrics: Various methods for assessing stock valuations, including P/E ratios, price-to-sales, and price-to-EBITDA.
- AI Bubble Debate: The discussion around whether the current AI build-out represents a sustainable trend or an unsustainable bubble.
- Capex Overreach: The concern that companies are overspending on infrastructure for AI.
- Geopolitical AI Competition: The global race for AI dominance, including the roles of China and other nations.
- Inflation and Cost of Living: The persistent concern about rising prices and their impact on consumers.
- Federal Reserve Policy: The debate surrounding potential interest rate cuts and their impact on inflation and the economy.
- Yield Curve Dynamics: The behavior of long-term interest rates in response to central bank actions and fiscal policy.
- Energy Market Outlook: The potential for a rebound in oil prices due to supply constraints and geopolitical factors.
Market Dynamics and AI Stock Reversal
The discussion begins with a surprising market reversal, particularly in AI stocks, following a sharp sell-off. The S&P 500 experienced significant daily swings, defying expectations of a short-term top. This resilience is attributed to the market finding new areas to invest in.
A key point of analysis is the recent sell-off and subsequent rebound in AI stocks. The market initially reacted negatively, but a swift reversal saw many AI stocks break out to new highs or find their bottom. This event highlights the market's ability to differentiate between companies within the AI narrative.
Google vs. OpenAI Ecosystem
A significant divergence is observed between companies exposed to Google's infrastructure and those aligned with the OpenAI/Microsoft ecosystem. This differentiation is seen as a natural progression after the initial excitement surrounding new technology. The market is now scrutinizing which players will truly win.
- Google Exposed Infrastructure: Includes Google, Broadcom, CLS, and TTMI.
- OpenAI/Microsoft Ecosystem: Includes Oracle, AMD, Microsoft, and Nvidia.
The convergence in performance is noted to have occurred shortly after a podcast featuring Sam Altman, where he appeared defensive. The substantial RPO (Remaining Performance Obligation) obligations for OpenAI, estimated at $500 billion and $1.4 trillion over eight years, are highlighted as a significant factor influencing market perception.
Indicators of Market Bottoms
Warren Pies's analysis of speculative short ETF volume is presented as a potential indicator of market bottoms. A spike in inverse ETF volume to 43% of total ETF volume, the highest in over two years outside of a specific event ("liberation day"), suggests extreme bearishness, with 40% historically marking the bottom of most corrections.
Investor flows also indicate a defensive shift, with money moving into long-dated treasuries and away from crypto, loans, and high-yield sectors following Bitcoin's peak in October.
The Shifting AI Narrative and Investment Strategies
The conversation emphasizes the rapid evolution of AI narratives and the challenges for investors. The idea that simply buying the "MAG7 plus Broadcom" is no longer a sufficient AI strategy is put forth.
- Narrative Volatility: Examples of rapidly changing narratives within the year include:
- Apple being out of the AI race, then praised for avoiding capex mania.
- Oracle initially seen as a winner, then potentially overextending.
- Meta being lauded for its AI-enabled Reels, then facing attrition of AI scientists.
- Llama initially seen as losing, then potentially recovering.
- Alphabet (Google) being declared "dead," then becoming a leader.
- Microsoft's reliance on OpenAI being a strength, then a potential vulnerability.
The takeaway is to treat these narratives with flexibility, writing them in "pencil, not pen," and avoiding emotional attachment to specific stocks.
Google's Pivot and Resilience
Google's turnaround is presented as a remarkable case study. Despite earlier criticisms regarding its culture, perceived activism, and the performance of Gemini 1.0, the company has demonstrated a significant pivot. The raid on a VP's office due to a Gaza protest is seen in hindsight as a potential turning point where the company refocused on its core business. Google's ability to leverage its existing infrastructure and information access is highlighted as a key factor in its resurgence. The stock's performance, adding $1.5 trillion in market cap, is described as one of the best turnarounds.
Capital Intensity and Future Returns
A significant concern is the increasing capital intensity of AI businesses. Companies are spending a much larger percentage of their revenue on capex compared to previous years.
- Oracle: Expected to spend 52% of revenue on capex in FY25-26, up from 10% in 2021.
- Meta: Spending around 35% of revenue, up from low teens.
- Microsoft and Google: Spending 25-27%, up from low teens.
The question is whether this higher level of spending is a temporary phase or a permanent embedding that will impact returns on equity and free cash flow. Alphabet's strategy of using Tensor Processing Units (TPUs) to augment GPUs and improve efficiency is presented as a potential model for others. The market's shift in rewarding cost discipline over sheer GPU spending is noted.
Financial Flexibility and Debt
Google's strong balance sheet, with $42 billion in debt, $99 billion in cash, and $127 billion in EBIT, provides significant flexibility. The leverage ratio (debt less cash divided by operating earnings) is considered. The sustainability of Meta's 35% revenue spend in three years is identified as a key question for future margins and multiple expansion.
The "Picks and Shovels" Debate
The potential impact of reduced capex spending on companies supplying the AI infrastructure ("picks and shovels") is raised. However, a counterpoint from Microsoft suggests that CoPilot users are deeply integrated into workflows, creating a sticky demand and pricing power for such services.
Global AI Competition and China's Role
The conversation touches upon global AI competition, with China aiming to be a significant player. While US companies focus on closed, controlled environments and releasing finished products, China's open-source approach allows for community-driven model improvement. This can create the perception of greater advancement.
- US vs. China: The US is losing China as a customer and risks facing competition from Chinese hardware and AI companies globally.
- Sovereign Models: Nations like Saudi Arabia are developing their own AI models, creating a market for sovereign AI solutions.
- European and French AI Initiatives: Countries like Germany and France are actively funding AI development, indicating a broader global landscape beyond just the US and China.
Economic Data and Federal Reserve Policy
Economic data and Federal Reserve commentary are influencing market sentiment, particularly regarding interest rates.
Small Cap Rally and Rate Cut Expectations
The Russell 2000 experienced its best four-day performance since the post-election period, up 7.7%. This rally is linked to Fed speak, specifically from John Williams, which increased the market's pricing of a Fed cut. Small and medium-sized businesses, particularly those borrowing at SOFR plus a spread, are expected to benefit from lower borrowing costs.
Private Credit and Lending Environment
Questions are being raised about the quality of private credit loan books. The concern is that too much money is chasing too few good loans, and a 25 basis point rate cut might be offset by a rise in spreads.
Business Development Companies (BDCs)
BDCs have stabilized and bounced significantly, with Blue Owl being mentioned. While dividend cuts are anticipated due to expected lower interest income from Fed rate cuts, the bigger risk for BDCs is credit quality rather than yield. The tight lending environment and potential for distressed loans are primary concerns.
Year-End Market Behavior
The historical tendency for markets to rally in the latter half of November and into December is discussed. However, the current year's strong September and October performance, with only a brief 5% sell-off, deviates from the typical pattern where year-end rallies follow soft autumn months. This suggests a potential for choppier markets.
International Stock Performance
International stocks have performed well, with the Spanish IBEX up over 50% and the Italian stock market up over 40% in dollar terms. This widening of market opportunities is seen as a positive development.
The Bubble Debate and Valuation
The term "bubble" is being used less frequently, but discussions around valuations persist.
Forward P/E Normalized by Profit Margins
A chart showing the forward P/E of the S&P 500 normalized by profit margins is presented. The comparison to the year 2000 is made, with questions raised about the methodology and assumptions behind such metrics, particularly regarding the long-term sustainability of current profit margins.
AI as a Technology vs. Capex Overreach
The debate around an "AI bubble" is reframed. AI itself, as a technology, is not considered a bubble. The concern lies more with the potential for a "capex overreach" – building too much infrastructure too soon.
- Use Case vs. Infrastructure: The strong use case for AI, with individuals and businesses willing to pay for its services, is contrasted with the physical infrastructure build-out.
- OpenAI's Revenue and Spending: OpenAI's $13 billion in revenue and projected $1.4 trillion in spending over the next few years raise questions about financing and timing.
- Oracle's Spending: Oracle's aggressive capex spending is highlighted as a potential example of overreach.
Grok and Private AI Companies
The capex spending of private AI companies like Elon Musk's xAI (Grok) is noted as a factor that is not fully transparent to the public market. Tesla is seen as a proxy for xAI's performance. The competitive drive to spend whatever it takes to win is acknowledged.
Political and Societal Implications of AI
The rise of AI is expected to become a significant political issue, impacting the cost of living and potentially influencing elections.
AI's Impact on Cost of Living
The increasing demand for electricity to power data centers is driving utility rate increases, which will not be popular with consumers. This, combined with persistent inflation, creates a challenging cost of living environment, particularly for younger demographics.
Federal Reserve's Role in Inflation Control
There is a debate about the Fed's priorities. While some argue for rate cuts to support the labor market, others emphasize the need to remain focused on taming inflation, which is seen as the underlying disease. The risk of reigniting inflation by cutting rates too soon is a major concern.
Housing Market and Interest Rates
The historical impact of artificially low interest rates on the housing market is discussed. Lower mortgage rates can stimulate demand, but without a corresponding increase in supply, they primarily drive up home prices, negating the benefit for first-time buyers. The experiment of prolonged low interest rates is seen as having failed to create sustained economic strength.
The Future of Interest Rates and Inflation
The current Fed funds rate is considered by some to be not truly restrictive, especially when compared to historical levels and current inflation rates. The concern is that cutting rates too aggressively could lead to inflation volatility.
Investment Strategies and Asset Allocation
Given the complex market environment, specific investment strategies are discussed.
Gold and Precious Metals
A bullish stance on precious metals is presented, with the potential for the dollar to weaken if the market pushes back against Fed rate cuts.
International Stocks
International stocks are expected to continue performing well, benefiting from a weaker dollar.
Oil Market Outlook
A bullish outlook on oil is presented, with prices at $60 per barrel considered cheap in nominal terms.
- US Shale Production: Production numbers in key US shale basins are reportedly rolling over, potentially due to depletion rates and the tapping of the best basins.
- Rig Counts: Rig counts are at their lowest levels since September 2021.
- Geopolitical Factors: Events like the blowing up of Venezuelan drug boats are seen as potentially linked to efforts to secure oil supplies.
Conclusion and Key Takeaways
The discussion concludes with a reiteration of the dynamic and rapidly evolving nature of the market, particularly in the technology sector. The importance of adaptability, rigorous analysis, and a nuanced understanding of both technological trends and macroeconomic factors is paramount for investors. The conversation highlights the ongoing debate about AI's long-term impact, the sustainability of current capex spending, and the delicate balance central banks must strike between managing inflation and supporting economic growth.
Peter Buckfar's insights are highly valued, with listeners encouraged to subscribe to his Substack, "The Book Report," for further analysis. The hosts express their enjoyment of the discussion and their appreciation for Buckfar's expertise.
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