Here’s the ‘core economic flaw’ in the AI bull case as stock and bond trades unravel, according to a top economist

The AI Boom: A Double-Edged Sword

Artificial Intelligence (AI) has been heralded as the technology of the future, promising to revolutionize industries and optimize operations. However, the excitement surrounding AI investments is beginning to wane as analysts like Torsten Slok, Chief Economist at Apollo, raise significant concerns about the sustainability of these investments. Slok's analysis paints a picture of an industry that may be overestimating the return on investment (ROI) from AI technologies.

Investors have flocked to AI-related stocks and technologies, driven by the belief that these innovations will lead to unprecedented efficiency and profitability. Yet, as Slok points out, recent trends suggest a troubling disconnect between AI spending and tangible financial returns.

Slok's Warnings: The Core Economic Flaw

In a series of recent statements, Slok articulated what he views as a fundamental flaw in the AI bull case: the marginal cost of producing compute power is exceeding the marginal benefit it delivers to users. This insight raises crucial questions about the current and future demand for AI services.

• Demand Curve Dynamics: Slok notes that the demand curve for compute is currently flat and highly sensitive to price changes. As companies invest heavily in AI infrastructure, they are discovering that the returns are not meeting expectations.
• Investment vs. Returns: Many firms are pouring resources into AI technologies without witnessing significant productivity gains. Instead of being viewed as growth drivers, these investments are increasingly seen as cost centers.

Slok emphasizes that the effectiveness of AI investments hinges on the actual financial returns generated from these technologies. Currently, many companies are grappling with the harsh reality that the promised benefits of AI are slow to materialize, leading to heightened caution among financial decision-makers.

Circularity in AI Spending: A Cautionary Tale

Slok’s analysis further delves into the concept of circularity in AI spending. He points out that many AI companies are financing their operations through complex arrangements that may not be sustainable in the long run. For instance, AI firms often provide loans or guarantees to other companies that are also significant customers. This interdependency raises red flags about the health of the AI market.

• Venture Capital Dependency: A staggering 80% of the top 1% of AI spenders are backed by venture capital. This statistic suggests that many startups rely on external funding to cover their compute expenses rather than generating organic earnings—a scenario that could spell trouble if investor sentiment shifts.
• Pressure on Smaller Players: Smaller AI companies, often referred to as "neoclouds," are particularly vulnerable. For example, CoreWeave, a prominent player in the AI sector, has seen its stock plummet over 30% in recent weeks. As these companies struggle with rising costs and dwindling support, their outlook remains precarious.

The Disconnect: AI Promises vs. Corporate Realities

While the so-called "Magnificent Seven" tech companies—think Apple, Amazon, Microsoft, Google, NVIDIA, Meta, and Tesla—are reaping the benefits of AI, the broader S&P 500 has not experienced similar gains. Slok argues that the average corporation does not require the latest AI models and is hesitant to invest heavily in technologies that do not guarantee returns.

• Profit Margins and Revenue Growth: The disparity between the tech giants and the rest of Corporate America highlights a critical issue. While these leading companies report rising profit margins and increased revenue per worker, most companies in the S&P 500 have not seen such improvements.
• The Judgment Factor: Slok posits that while AI can process vast amounts of data, it lacks the human element crucial for informed decision-making. Business intelligence often hinges on judgment, context, and ethical considerations—areas where AI still struggles.

Market Reactions: The AI Stock Sell-Off

Recent market activity underscores the growing skepticism surrounding AI investments. Following Slok's warnings, AI-related stocks, particularly in the chip sector, have faced significant declines. Traders are questioning the longevity of the capital expenditure frenzy that has characterized the AI landscape.

• Capital Expenditure Projections: Hyperscale companies are projected to spend between $800 billion to $1 trillion on AI infrastructure. However, as Slok suggests, the ability to raise this capital may become increasingly challenging if confidence in return on investment continues to wane.
• Debt Concerns: Meta, for example, has issued substantial amounts of debt and recently announced a new class of shares. This move aims to bolster its finances amid a potential wealth tax in California. The rising cost of insuring Meta’s debt against default illustrates the increasing risk perception among investors.

The Broader Implications: A Cautionary Approach

As the AI investment landscape evolves, the implications for businesses and investors are profound. Slok's insights urge a reevaluation of AI's ROI and the sustainability of current business models. Companies must reassess their strategies to ensure that they are not overextending themselves in pursuit of technology that may not deliver the promised results.

• Navigating Risks: For investors, understanding the financial health of AI companies is crucial. The interconnected financing structures highlighted by Slok suggest that there may be hidden risks within the AI ecosystem that require deeper scrutiny.
• Future of AI Investments: While the potential for AI remains significant, the current environment calls for a more cautious approach. Companies should prioritize realistic assessments of how AI can enhance their operations rather than getting swept up in the hype.

Conclusion: Balancing Optimism with Caution

The enthusiasm surrounding AI technology has led many companies and investors to overlook fundamental economic principles. As Torsten Slok's warnings resonate across the financial landscape, it is essential to strike a balance between optimism for AI's potential and a grounded understanding of its limitations.

The future of AI investments may hold great promise, but it is imperative that companies approach these opportunities with a critical eye. By addressing the core economic flaws identified by Slok and prioritizing sustainable growth, businesses can navigate the complexities of the AI landscape while mitigating risks.

In the end, AI may yet prove to be a transformative force, but only for those prepared to engage with it thoughtfully and strategically.