Is the stock market overvalued, or are investors misunderstanding the AI boom? With stock market valuations approaching levels last seen during the dot-com bubble, concerns about an AI bubble, elevated P/E ratios, and financial risks in AI infrastructure are dominating the headlines.

In this episode of *Cam Harvey's Through the Noise*, financial economist Cam Harvey joins Robert Olinger to examine what high stock market valuations really mean, why traditional valuation metrics may be misleading, and whether the artificial intelligence boom is creating a dangerous market bubble—or significant investment opportunities.

Cam explains four reasons stocks can trade at elevated price-to-earnings (P/E) ratios: overvaluation, expectations of rapid earnings growth, lower perceived risk, and investors' willingness to pay for the possibility of extraordinary returns. He also explores why the cyclically adjusted price-to-earnings (CAPE) ratio may not tell the whole story in an economy increasingly dominated by technology and growth companies.

The discussion turns to the financial risks facing AI infrastructure companies, particularly CoreWeave, whose substantial debt and elevated bond yields have raised concerns about potential financial distress. Cam examines CoreWeave's relationship with Nvidia, the economics of GPU depreciation, and whether financial problems in AI infrastructure could trigger broader consequences for hyperscalers and AI application companies.

Finally, Cam presents a contrarian investment perspective: while AI-related stocks have experienced extraordinary valuation gains, many traditional companies have yet to benefit from the productivity improvements and economic growth that artificial intelligence could generate. Could the next major investment opportunity lie outside the AI sector?

Topics covered:

• Stock market valuations and comparisons with the dot-com bubble
• Four reasons for elevated P/E ratios and what CAPE misses
• AI bubble risks across hyperscalers, infrastructure, and applications
• CoreWeave's debt, bond yields, and financial stability
• Nvidia's role in the AI infrastructure ecosystem
• GPU depreciation and the economics of AI computing
• Potential investment opportunities in non-AI companies

Are stocks overvalued in 2026? Is the stock market repeating the dot-com bubble of 1999, or could artificial intelligence (AI) and stronger economic growth justify today's historically high valuations?

In this episode of "Through the Noise", financial economist Cam Harvey joins Robert Olinger to examine stock market valuations, the Shiller CAPE ratio, price-to-earnings (P/E) ratios, and whether investors should be concerned about a potential market correction.

The Shiller Cyclically Adjusted Price-to-Earnings (CAPE) ratio has climbed above 40, compared with a historical average below 18. The only other period when valuations reached similar levels was during the dot-com bubble in 1999. But does that comparison tell the whole story?

Cam Harvey challenges conventional interpretations of market valuation metrics, explaining why changes in industry composition, the growing importance of technology companies, and the accelerating impact of AI make historical comparisons potentially misleading.

Using examples from Alphabet, Amazon, and NVIDIA, Harvey explains how expected earnings growth influences stock prices and why backward-looking valuation measures may fail to capture the economy's future growth opportunities.

Harvey also presents a contrarian perspective: investors may be underestimating the potential for AI-driven productivity gains and economic expansion. While some stocks could be overvalued and vulnerable to corrections, broader market valuations may have more room to rise than traditional indicators suggest.

**Topics discussed include:**

- Whether the 2026 stock market resembles the 1999 dot-com bubble

- Why the Shiller CAPE ratio has exceeded 40

- The limitations of historical P/E ratio comparisons

- How technology-sector growth affects stock market valuations

- Why AI could fundamentally change earnings expectations

- Forward P/E ratios versus historical earnings

- The relationship between economic growth, market corrections, and future stock returns

- Why Cam Harvey believes real GDP growth could exceed current expectations

Is Wall Street overvalued, or is the market failing to recognize a new era of economic growth?

What are the biggest risks facing the U.S. economy? Despite strong economic growth, low unemployment, and record stock market levels, serious economic challenges could threaten long-term prosperity.

In this episode of Cam Harvey: Through the Noise, financial economist Cam Harvey joins Robert Olinger to examine seven major risks to the U.S. economy, including persistent inflation, stagflation, the growing national debt, declining U.S. dollar dominance, political gridlock, underinvestment in education, and the economy's increasing dependence on artificial intelligence.

Harvey explains why inflation remains a concern for the Federal Reserve and how both stagflation and economic overheating can negatively affect stock and bond returns. He also examines the implications of nearly $40 trillion in federal debt, persistent $2 trillion annual deficits, and the possibility that declining global demand for U.S. Treasury bonds could drive interest rates higher. The discussion also explores the political obstacles to fiscal reform, the future of Social Security, and the economic consequences of declining investment in primary and secondary education. While AI investment dominates financial headlines, Harvey argues that the less visible deterioration of human capital may represent an even greater long-term threat to American economic leadership.

Key topics include:

- Why strong economic conditions can mask significant financial risks

- Inflation, stagflation, and overheating: implications for investors and portfolio allocation

- Federal deficits, national debt, and the sustainability of U.S. fiscal policy

- The U.S. dollar's reserve currency status and the potential consequences of declining dollar dominance

- Political inertia and the challenges of reforming Social Security

- Education, human capital, and America's long-term economic competitiveness

- Artificial intelligence investment and the risks of an AI-driven economy

For investors, policymakers, and anyone following financial markets, this episode provides a framework for understanding the economic risks that may shape future growth, interest rates, and investment returns.