PodcastAdam Taggart | Thoughtful Money®Michael Lebowitz

Market Starting To Crack Under High Bond Yields? | Michael Lebowitz

The discussion centers on the tension between the Fed's inflation fight and the administration's growth-oriented policy, with oil prices, refinancing costs, and rising bond yields creating broader economic and market risks. It also questions whether heavy AI infrastructure spending will deliver sufficient productivity and revenue, particularly as computing becomes more efficient and open models become cheaper. Market leadership remains narrow, while the speaker sees meaningful downside risk for equities and expects investors to find bonds near 5% increasingly attractive.

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Key Takeaways

The episode highlighted a policy conflict in which the Fed is trying to cool inflation while the administration pursues growth, even as current-quarter GDP growth could exceed 5%. That tension is occurring alongside restrictive financial conditions, including an approximately 270-basis-point real five-year yield and materially higher refinancing costs for companies.

The Iran conflict was presented as a major oil-market swing factor: crude could reach $120, while a durable deal could send it toward $70, lower bond yields by 30 basis points, and push stocks to record highs. Higher oil prices also feed market anxiety through interest rates, inflation, diesel, and tanker rates.

Higher rates are transmitted unevenly across the economy: credit cards and floating-rate corporate debt reprice quickly, while mortgages and other long-term borrowing adjust more slowly. Companies that issued debt near 2.5% in 2021 could face substantially higher refinancing costs on as much as nearly $1 trillion of corporate rollovers this year, potentially leading to layoffs, lower capital spending, store closures, or property sales.

The discussion characterized growth as increasingly K-shaped, with AI data-center construction potentially adding 4% to reported growth even while the rest of the economy contracts slightly and affects relatively few workers. Low and declining hiring activity leaves limited cushion if refinancing pressure and layoffs increase, particularly because AI earnings benefits are concentrated in relatively few companies.

The AI infrastructure cycle is benefiting chip and data-center suppliers as hyperscalers invest free cash flow, but the speakers compared the buildout risk with the telecom and fiber-optic boom. Efficiency gains could reduce the infrastructure required for a given amount of computing, while cheaper open models could reduce demand for frontier-model compute, token prices, and usage fees.

GEO-POLITICS

Policy Conflict — The Fed is trying to cool the economy to control inflation, while the administration is pursuing growth-oriented policies. The discussion also noted that GDP growth could exceed 5% this quarter.

“So you said, "Hey, look, what can the Fed do about inflation?" Well, it can basically take steps to cool the economy, right?…”—

TECHNOLOGY

AI Infrastructure Cycle — Hyperscalers are directing free cash flow into data centers and chips, boosting AI-compute suppliers while the broader productivity and revenue payoff remains uncertain. The speakers compared the risk with the telecom and fiber-optic buildout.

“I refer to it maybe partially incorrectly as this is all balance sheet money, right?…”—

Compute Efficiency — More efficient computing could reduce the physical infrastructure needed for a given amount of computing. That could make existing data centers outdated and reduce their economic impact.

“So that's the other risk is that the cost of data the expenditure not necessarily risk but all that money going into data centers just start shrinking over time…”—

ECONOMY

Rate Transmission — Short-term rates quickly affect credit cards and floating-rate corporate borrowing. Mortgage and other long-term rates affect the economy more slowly; higher rates are intended to reduce economic activity and inflation.

“Mortgage rates are very slow to impact the economy. We've seen the housing market come to a standstill, but that has a limited impact on the economy…”—

Debt Refinancing — Companies that issued debt near 2.5% in 2021 may refinance at substantially higher rates as maturities arrive. This year's corporate rollovers could approach $1 trillion, potentially prompting companies to cut employees or capex, close stores, or sell buildings.

“As they come due, a corporation's interest rate may go from 2 and a.5% to 6%. That's that's a big increase to their interest expense…”—

Global Demand — Higher rates can weaken domestic activity and global demand for U.S. products. That can create conditions in which eventual lower rates follow the initial tightening.

“And ultimately, that's why they say higher rates beget lower rates because it's such a huge factor in the economy both here and globally.”—

MARKETS

Narrow Leadership — The S&P 500's stability is masking weakness beneath the surface: RSP was down 4%, financials 5%, small caps 6.5%, real estate 7%, and utilities 9%. A small group of AI and technology stocks supported the index.

“When you look at RSP, so that's the equal weighted S&P that's every so that's you know when when Nvidia is not and Apple and Microsoft are not 78% weights…”—

Oracle Credit Risk — Oracle appears more vulnerable than heavily cash-funded peers because its debt trades at junk-level yields of roughly 9% to 10%, and CDS markets price in a meaningful chance of default. The key risk is whether AI revenue arrives quickly enough to service the debt.

“Oracle is potentially the one, you know, the one kind of problem because they do have a lot of debt. their debt is trading at junk levels…”—

Bond Optionality — Two-year and five-year Treasuries yielding near 5% can provide income and principal repayment at maturity. They may also give investors cash to buy cheaper stocks if higher rates cause equities to fall 20% to 40%.

“The newly auctioned 5year at 5%. But, you know, I think the interesting part of that trade, let's just say the two-year, I think it's like 490, right?…”—

FORECASTS

AI Spending Correction — A 20% to 30% slowdown in AI capital spending could trigger a 20% to 25% stock-market correction, according to the speaker's stated view.

“So given how huge a percentage of both the market cap of the major indices AI is and you've already shown that and how big of a percentage of GDP…”—

Treasury Curve — Short-term Treasury bills are driven mainly by Federal Funds expectations, while 30-year bonds respond more to inflation and growth. The recent 30-year move was only 6 basis points.

“If you look at the 30-year, it cares on the margin, but it's really focused on inflation and growth. That's what really matters…”—

Bond Yield Stress

Michael explains that higher short- and long-term yields eventually reduce economic activity through refinancing costs, weaker investment, layoffs, and lower global demand.

Narrow Market Leadership

The speakers examine how a handful of technology stocks are masking weakness across equal-weighted stocks, financials, small caps, real estate, utilities, and industrial sectors.

Fed Versus Growth Policy

The discussion contrasts the Fed’s effort to cool inflation with administration policies aimed at accelerating growth, while questioning how much AI investment is affecting broader employment and output.

AI Investment Payback

Adam questions whether hyperscalers’ massive spending on chips and data centers will generate enough new revenue and productivity to justify current valuations.

Hyperscaler Capex Risks

The speakers argue that even a modest slowdown in data-center construction could materially reduce GDP growth and pressure equity markets without requiring an outright AI collapse.

Compute Efficiency Threat

Improving computing efficiency could reduce the physical and economic footprint of data centers, leaving existing infrastructure obsolete and weakening future capital-spending demand.

Cheaper AI Models

Open and lower-cost models are already handling routine tasks, raising concerns that commoditization, lower token prices, and reduced usage could hurt leading AI companies’ earnings.

Google Search Monetization

The conversation considers whether AI-generated answers threaten Google’s traditional search model, while Michael notes that sponsored placement could remain embedded in future results.

Corporate Debt Refinancing

Michael describes the approaching corporate-debt maturity wall and says companies may respond to sharply higher refinancing costs by cutting employees, capital spending, or assets.

K-Shaped Economy

Michael characterizes the economy as K-shaped, with data-center spending supporting headline growth while much of the underlying economy experiences limited activity and growing rate pressure.

Real Yield Restriction

The speakers distinguish Fed policy from broader bond-market conditions and use real yields to show that borrowing costs are already highly restrictive for households and companies.

Oil And Core Inflation

Michael says core inflation remains above target and warns that oil and diesel prices can spread through transportation and goods even though the Fed cannot directly control energy markets.

Fed Forecast Confusion

Yield-curve changes and Fed projections reveal substantial uncertainty, with policymakers raising expected rates without materially lowering their economic, inflation, or unemployment forecasts.

Bonds Versus Equities

Michael favors adding intermediate-term bonds near 5%, arguing they provide income, principal protection, and optionality to buy cheaper stocks if higher rates trigger an equity decline.

Portfolio Goal Setting

The speakers encourage investors to prioritize financial goals and risk control over market-beating, especially as elevated equity valuations imply weak long-term returns relative to bonds.

Rotation And Oil Risk

Michael describes reducing mega-cap growth exposure, adding value and utilities, and watching oil prices and geopolitical developments as major drivers of the next market move.

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Important Disclaimers

Not Investment Advice: For education only — not financial, tax or legal advice.

AI-Generated: Made by AI from source transcripts and may contain errors.

No Guarantees: Past performance does not predict future results; investing carries risk.

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