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.

Cam Harvey and Robert Olinger examine why surprisingly weak nonfarm payroll growth didn’t trigger the market reaction many investors might expect—and why the headline jobs number may be missing the bigger economic story.

Harvey argues that structural changes in the U.S. economy, including lower immigration and AI-driven productivity gains, could mean that modest employment growth is becoming the new normal. With unemployment remaining low, he explains why positive payroll growth can still be consistent with a healthy growth outlook.

The discussion then turns to interest rates and the Federal Reserve. Harvey questions whether policymakers should be trying to slow economic growth at a time when the U.S. faces enormous fiscal obligations and an extraordinary wave of technology investment.

At the center of the episode is the competition for capital. Massive AI infrastructure and data center investments are creating demand for financing, potentially pushing yields higher across government and corporate bond markets. As capital flows toward projects offering higher expected returns, other industries may face higher borrowing costs and reduced investment.

Harvey argues that rising rates should therefore not automatically be interpreted as an inflation story. Instead, they may reflect expectations for stronger growth and unusually attractive investment opportunities created by technological innovation. In his view, this market-driven reallocation of capital could be essential to maximizing long-term U.S. economic growth.

Is the U.S. bond market really entering a crisis with “no historical parallel”? In this episode of Cam Harvey’s Through the Noise, Cam Harvey and Robert Olinger examine the headlines surrounding rising Treasury yields and explain why a 10-year yield above 5% needs to be viewed in a much broader historical and economic context.

Harvey argues that today’s interest rates are less extraordinary than the near-zero rates that followed the Global Financial Crisis and COVID-19. He examines what the yield curve is signaling about economic growth and uses 10-year Treasury and TIPS yields to show why inflation expectations alone do not explain the rise in long-term rates.

The discussion also explores concerns about U.S. government debt and the risk of monetizing that debt through money creation. Harvey explains why market-based inflation expectations are important when evaluating those concerns and why he believes fiscal challenges are not the primary driver of higher Treasury yields.

The conversation then turns to what Harvey sees as a key force behind rising rates: competition for capital. With corporations raising significant amounts of financing—particularly to support AI infrastructure and data center investment—investors need higher yields to supply that capital. Harvey connects this dynamic to expected real interest rates, economic growth, corporate bond spreads, and the shape of the yield curve.

Finally, Harvey addresses claims that China is abandoning U.S. Treasuries, explaining how offshore custody centers such as Belgium, Luxembourg, and the UK can complicate interpretations of official Treasury holdings data.

The central takeaway: a high interest rate cannot be judged as good or bad in isolation. Understanding bond yields requires examining inflation expectations, real rates, capital demand, economic growth, fiscal conditions, and the yield curve together.

Cam Harvey examines “p(Stag)” — the probability of stagflation — and what a high-inflation, low-growth environment could mean for investors and portfolio construction. Drawing on ongoing research into stagflation and asset management, Cam explains why inflation should not be analyzed in isolation. The economic growth environment matters: an upside inflation surprise during a recession can carry very different information for markets than the same surprise during normal or strong growth. Cam outlines three key ideas from the research: distinguishing stagflation from overheating, using real-time indicators that investors can actually act on, and measuring the acceleration of inflation. He then explores the historical implications for equities, fixed income, the traditional 60/40 portfolio, TIPS, commodities, gold, trend-following strategies, and long-short equity strategies. The episode also considers current inflation risks, Treasury yields, breakeven inflation expectations, and why portfolio risk management can matter even when investors disagree about the exact probability of stagflation.

Yes, we are experiencing prolonged war, persistent inflation, 18% of our taxes go to pay only the interest on 40t in debt, long-rates are breaking 5%... but why all the pessimism?

In my latest podcast, Through the Noise, with Robert Olinger, I dare to focus on the positives.

1. Unemployment is low and there is no sign it is set to jump. The AI jobpocalypse is increasingly unlikely. New opportunities continue to outpace displacement.

2.Inflation is annoyingly high at 3.4%. However, it is hardly a crisis. The breakeven 10-year inflation is 2.4% - somewhat above the Fed target.

3.Real wages have kept pace with inflation

4.A long rate of 5% is historically, no big deal. A normal yield curve will have a premium of a few percent over short rates. Indeed, it is the rate that we had 20 years ago. What was unusual was the very low long rates. Crucially, the rate has increased but this is due to increases in the expected real rate - not inflation. Indeed, breakeven 10-year inflation has not increased over the past 12 months. Higher expected real rates may be an indication of higher growth opportunities.

5. Growth opportunities have increased. We have four technological revolutions happening simultaneously - that has never happened before - with AI opportunities leading the charge. GDP growth averaged a tepid 1.7% in the first two quarters. The Atlanta Fed is projecting 4.4% in the third quarter. The key issue is whether 10% is possible in the near future.

6. The stock market is near all-time highs. Yes, the stock market has been wrong many times before. However, this is not 1929. One obvious difference was the lack of technological innovations in 1929. Furthermore, it is not 1999. At that time, there was one technological innovation - the internet - with a much smaller potential to impact GDP.

To me, pessimism is overwhelmed by the case for optimism.

This is not to say there is no risk. There is plenty of risk. Historically, every great innovation has downsides. With AI, the scale of the upside potential is vast - and the downside potentially existential. The best approach is to manage the risk, not seek to eliminate it.

In this episode of *Through the Noise*, Cam Harvey and Robert Olinger examine the debate surrounding Federal Reserve interest rate policy and challenge the conventional narrative about rising Treasury yields.

Harvey explains why the Federal Reserve has much more influence over short-term interest rates than long-term rates—and why the market’s focus on a potential 25-basis-point move may distract from the bigger economic story.

The discussion explores how long-term interest rates affect corporate investment decisions, why inflation expectations may not explain the recent rise in yields, and what credit spreads and massive financing for AI data centers reveal about capital markets.

Harvey offers an alternative interpretation: higher real yields may reflect investor expectations for stronger real economic growth. With companies making major investments in artificial intelligence infrastructure and data centers, rising long-term rates could be signaling accelerating productivity and economic growth rather than economic weakness.

Instead of viewing higher long-term interest rates strictly as bad news, Harvey argues that markets may be pricing in robust growth opportunities as the economic impact of AI innovation begins to emerge.