PodcastTop Traders UnpluggedChristian Mueller-Glissmann

How Much Longer Can AI Carry the Market? ft. Christian Mueller-Glissmann | U Got Options | Ep.13

Mueller-Glissmann sees AI capex lifting nominal growth and earnings, but says the investment cycle, its productivity gains, and the ability to monetize applications remain uncertain. He also points to rising inflation and bond-market pressures, high household equity exposure, and the importance of diversification as market risks evolve. Separately, the host raises the possibility of future government equity buying, QE and yield caps, and faster-than-expected dollar debasement.

Preview · 21 more points in the app

Read the Full Summary

Key Takeaways

Mueller-Glissmann says AI’s earnings impact depends on adoption and monetization: AI subscriptions and token use are only 0.1% of S&P 500 cost of goods sold, and gains may take time to appear in broader productivity measures. He says cloud indicators are beginning to show monetization, but the upcoming Q3 earnings season will test whether companies can turn AI capex into revenue as capex-driven earnings tailwinds peak and application-stage revenue remains uncertain.

Mueller-Glissmann argues that the AI capex boom has accelerated nominal growth and pushed the business cycle toward a midcycle acceleration, alongside significant private-sector releveraging. The host cautions that recent earnings gains may also reflect an AI-capex “sugar rush” and lower tax rates, while Mueller-Glissmann says moderating earnings tailwinds, rate headwinds, and the bond selloff have contributed to equity consolidation.

Mueller-Glissmann sees risks in AI-linked earnings without equating them to a repeat of the late-1990s valuation bubble: the S&P 500’s forward P/E fell from 23 to 19, while current hyperscalers have more diversified businesses and return on equity is more than double its late-1990s level. He says AI investment has boosted semiconductor and other beneficiary earnings, but those earnings can be cyclical; long data-center and compute contracts offer more visibility, and he considers an earnings bubble more likely than a valuation bubble.

Mueller-Glissmann identifies the Middle East war and rising energy prices as a major inflation driver, while describing the bond backdrop as less favorable because of higher and more volatile inflation, fiscal concerns, and reduced central-bank flexibility. He says debt rollovers and new borrowing add funding pressure, and that the recent yield rise exceeded a historical indigestion threshold—more than two standard deviations over three months around 5.1%–5.2%; the host also notes that inflation can raise discount rates and compress margins.

The speakers describe a market feedback loop in which rising markets support capex and earnings, but warn that it can reverse when markets fall; the guest says a sharp equity correction could hurt households and the economy, with a central-bank response offering some buffer but not necessarily stabilizing events once underway. Mueller-Glissmann also says U.S. household equity holdings are at a record share of wealth, exceeding levels during the tech bubble and COVID recovery.

GEO-POLITICS

Government Equity Buying — The host argues that direct U.S. government investment in equities may become part of the next phase of market support, a possibility investors are not prepared for. He compares the policy incentives with Japan’s history of money printing.

“Don't forget September 2025 they sat around a table and said you know I'll do 600 billion how about you I'll do 500 billion in capex right but it's going…”—

TECHNOLOGY

AI Productivity — Mueller-Glissmann says AI productivity gains depend on applications being rolled out and adopted, so the benefits may take a long time to appear. It is still early to identify those gains in corporate earnings or broader productivity measures.

“So the second phase is then the kind of application phase where the applications really get rolled out and that leads into the adoption phase and the big problem is…”—

Platform Profitability — Mueller-Glissmann says platform companies and technologies such as cloud computing are highly profitable, with much of that profitability not tied to cyclical businesses. Hyperscalers’ negative free-cash-flow yield reflects AI capex; without that spending, he says, they would be highly profitable.

“it's the rise of the platform companies, the technology adoption, some of the peripheral technologies that have come about in the last few years like cloud computing and all of…”—

ECONOMY

AI Capex Cycle — Mueller-Glissmann argues that the AI capex boom has pushed the business cycle toward a midcycle acceleration and brought significant private-sector releveraging. At year-end, by contrast, private-sector leverage did not appear particularly high.

“But instead you got this enormous AI capex boom that really pushed the business cycle to some extent back into a midcycle acceleration…”—

Energy Inflation — Mueller-Glissmann identifies the Middle East war and resulting rise in energy prices as a major inflation driver. He says the bond market has to adjust to the resulting macro regime.

“some of it. but I think the bigger driver of inflation has been the Middle East war…”—

Earnings Tailwinds — The host argues that recent earnings gains may reflect an AI-capex-driven sugar rush rather than a structurally higher earnings level. Lower tax rates also supported earnings over the past five years, he says, and those tailwinds could reverse into headwinds.

“A lot of this is a sugar rush. It's the capex that's coming in that's pushing earnings…”—

MARKETS

Equity Consolidation — Mueller-Glissmann says the AI capex boom has accelerated nominal growth, usually supporting equities through earnings growth while weighing on bonds. Moderating earnings tailwinds, rate headwinds, and the bond selloff have contributed to equity consolidation.

“And this AI capex boom has created this nominal growth acceleration and that already feeds into the bond market because if you get like nominal growth accelerate that usually is…”—

Valuation and Earnings — Mueller-Glissmann says the S&P 500’s 12-month forward P/E fell from 23 times at the start of the year to 19 times, indicating that the market is discounting some cyclical earnings. He cautions that earnings at some businesses can rise sharply but also fall sharply.

“was 23 times now you're at 19 times so I would agree the market is already to some extent discounting some of these highly cyclical earnings because you're absolutely right…”—

AI Earnings Risk — Mueller-Glissmann says AI investment has boosted semiconductor and other beneficiary earnings, but the investment phase cannot be extrapolated indefinitely. Some current earnings are cyclical, while long data-center and compute contracts offer more visibility than usual. He sees the risk as more likely an earnings bubble than a valuation bubble, with near-term compute demand potentially remaining high as use shifts from frontier-model development to applications.

“I think AI capex boosting semiconductor and kind of AI capex beneficiary earnings and the problem is you cannot extrapolate the investment phase for too long like this kind of…”—

FORECASTS

Gradual Equity Adjustment — Mueller-Glissmann argues that even if S&P 500 return on equity declines because of depreciation or disappointing AI-capex investments, the adjustment would probably be gradual rather than a sharp, broad decline like the tech bubble. He expects greater differentiation between winners and losers, while saying it is too early to make that call confidently.

“But what I would say is even if the return on equity starts trending down in function of depreciation in function of some maybe disappointing investing investments in the in…”—

Introduction and why the bond market matters again

Mueller-Glissmann says AI-driven capex has accelerated nominal growth and earnings, while Middle East conflict has added inflation pressure; bond yields are still adjusting and increasingly constrain equities.

How the AI boom changed the market regime

The AI boom has shifted the market into a capex-led midcycle acceleration, supporting earnings but also increasing leverage, inflation risk, and competition for capital.

Are the earnings from AI actually sustainable?

AI is moving from investment toward applications and adoption, but measurable productivity gains remain early; Mueller-Glissmann expects long-term benefits while warning near-term monetization is uncertain.

An earnings bubble rather than a valuation bubble?

Investors have already marked down forward valuations, so Mueller-Glissmann sees greater risk of an earnings bubble than a valuation bubble, with long contracts and gradual depreciation providing some cushion.

What happens if earnings start to mean revert

The host warns earnings could mean-revert sharply after cyclical tailwinds fade; Mueller-Glissmann agrees uncertainty is rising but expects some platform-company profitability and technology gains to endure.

When the stock market starts driving the economy

Elevated household equity holdings make markets a powerful driver of economic activity and create wealth-effect feedback loops; Mueller-Glissmann sees potential policy support but says today’s firms are more profitable than dot-com-era companies.

Why bonds are becoming the speed limit for equities

Mueller-Glissmann says inflation, innovation-driven capital competition, fiscal concerns, and nominal growth have weakened the outlook for long bonds; rate levels, speed, and causes determine equity pressure.

Can the AI boom keep going if rates stay high?

Continued AI earnings growth may require more borrowing, but genuine application revenue is needed to sustain investment; Mueller-Glissmann says upcoming results will show whether adoption can ease that dependence.

Why equity volatility looks unusually cheap

Equity volatility looks inexpensive relative to credit and rates, with earnings uncertainty and bond reactions creating convex risks; Mueller-Glissmann sees value in longer-dated calls despite near-term downside catalysts.

What extreme dispersion is telling us about the market

Unusually high dispersion reflects both market structure and a wide spread in company earnings; negative-beta stocks are concentrated in rate-sensitive and defensive sectors, which could diversify portfolios if AI falters.

How to prepare for a market you can’t time

Because market peaks are difficult to time, Mueller-Glissmann recommends risk management and diversification, including defensive equities, selective bonds, and volatility positions rather than relying on a precise market call.

Geopolitics, real assets and the changing role of bonds

Geopolitical uncertainty supports resilient portfolios with real assets and some home bias; Mueller-Glissmann says gold can diversify against trust concerns, while bonds may be less dependable as an equity hedge.

Debasement and the risk investors may be underestimating

The host argues that debt pressures may prompt currency debasement, government equity purchases, QE, and yield caps; he presents these as risks that could reshape markets and sustain nominal investment.

Why currency volatility could matter much more

Mueller-Glissmann says foreign-exchange volatility has become less mean-reverting and may deserve a larger portfolio role; the host links currency, bond, and gold volatility to historical inflationary episodes.

Related Episodes

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.

Our Commentary · Request Removal