Podcast Summary – Raoul Pal: The Journeyman

Episode: Why the Nasdaq Could Surge Again
Date: February 24, 2026
Host: Raoul Pal (Real Vision)
Guest: Andreas (Real Vision Pro macro analyst)

Episode Overview

In this episode, Raoul Pal is joined by Andreas—one of Real Vision Pro's foremost macro thinkers—to examine the prospects for a new surge in the Nasdaq and the broader implications of the ongoing AI-driven CapEx cycle. Their conversation traverses the intersections of technology, macroeconomics, and investing, with sharp focus on how the so-called “Exponential Age” is transforming business cycles, capital allocation, market risks, and investment strategies. The core question: Is skepticism around today’s tech spending warranted, or are markets underestimating the coming tsunami of productivity and margin expansion?

Key Discussion Points & Insights

1. Revisiting the CapEx Surge: Is It Overinvestment?

• Andreas: Many sell-side shops (BofA, BCA Research) worry current CapEx rivals the “overinvestment” of late ‘90s or 1970s oil, but the data shows a more grounded cycle this time. ROI and earnings track more closely to returns, versus the speculative 5x mismatch of the dotcom bubble.

  “The current earnings cycle roughly matches what we've seen return-wise from the technology sector in percentage terms. In the run up to year 2000, you had a return cycle probably 5x of the earnings cycle. That symbol analogy doesn't really hold.” (07:43)

• Raoul: Unlike previous cycles, the major tech firms are using internal cash (not debt) for CapEx. Instead of buybacks, they’re choosing to allocate to AI because they believe it’s the superior driver of shareholder value.

• Andreas: Only a minor portion ($300B out of $1.5T since 2023) is debt-financed, reducing risk of systemic credit events.

  “It's a small part of the CapEx expenditure that is debt financed, in sharp contrast to what happened in the run up to the dotcom [bubble].” (11:01)

2. The AI “Fear Regime” and Market Correction Narrative

• Both agree that market correction in big tech appears overdone, given robust earnings, manageable leverage and clear CapEx payback prospects for the “Big Four” (Amazon, Alphabet, Microsoft, Apple).

  “You're suggesting that this correction in both NASDAQ or some of the other technology plays is probably overdone and we probably reaccelerate as the business cycle reaccelerates and earnings continue to rise with the business cycle.” (11:52, Raoul)

• Andreas: ISM manufacturing and domestic CapEx data are improving, inflation looks contained (“Goldilocks”). Maintains that markets are mispricing risk due to pervasive AI skepticism, especially among credit-focused investors.

• Raoul: Draws parallels with the “Greenspan Years” (mid-late 1990s): High productivity, non-problematic inflation, strong GDP, dovish policymakers.

  “If I'm right, also, it profoundly looks like the Greenspan year playbook is A, what the government wants and B, what is happening.” (14:29)

3. Adoption Curve: Still Early Days for Enterprise AI

• Andreas: Anecdotes and industry meetings show that big companies are years behind in full AI deployment—using only restricted “offline” tools, wary of data leakage and model reliability.

  “Most of the big blue chip companies remain a couple of years behind ... in terms of implementing AI.” (16:19)

• Raoul: Hedge funds and major financial players are similarly risk-averse or slow to embrace AI (“Nobody’s using it”).

  • Compares with mid-1990s email adoption; mass rollout lags early exposure by several years.

• Andreas: Adoption is analogous to the Internet’s timeline—if ChatGPT = Netscape (1994/1995), we’re only a few years into a much longer S-curve.

  “If that's true, we're probably, I don't know, three, four, five years from peak.” (20:33)

4. Investment Risks in an Exponential Age

• Andreas: AI’s unpredictable advances cause severe rolling drawdowns in affected sectors (trucking, SaaS), but no systemic crash. It’s volatility without breakdown as investors struggle to distinguish signal from noise.
• Raoul: All market narratives and trades are ultimately tied to the same capex/intelligence/energy transformation—tech and commodities are the two ends of the “barbell.”

5. Geopolitics, CapEx, and the Global Arms Race

• Andreas: China’s grid and solar expansion is “miraculous,” but can Western economies compete on speed and scale?

• Raoul: The real race is who can best convert energy into intelligence. The U.S. leads in AI; China in grid and solar build-out.

  “This is the biggest race of all time.” (28:31, Raoul)

• Demographic and financial system changes in Japan are also prepping for the automation/AI capex wave.

6. Globalization, Remote Labor, and AI’s Next Frontier

• Andreas: Emerging surprise—AI/robotics may increase global labor arbitrage:

  • Waymo’s autonomous vehicles (U.S.) have backup drivers in the Philippines; Tesla’s robots supervised in India.

  “You could probably end up hiring anywhere in the world with this combination of AI, robotics and virtual reality.” (29:28)

• Raoul: Huge volumes of data labeling (Africa, SE Asia), remote virtual reception work—AI supply chains are more globalized than people think.

7. Margins & Corporate Profits: Just Getting Started

• Andreas: Tech sector earnings are rising fastest—while headcount shrinks—so margins will keep expanding as AI substitutes for labor.

  “Their margins are going to go up… You're playing human costs with capex costs, but the human cost keeps going on forever while the capex cost gets paid off.” (32:46, Raoul)

• Margin expansion is likely to outpace historical trends, creating unusually high and durable profitability for companies that lead in AI adoption.

8. Outlook on the Business Cycle & Macro Environment

• Andreas: Bonus depreciation in US tax code is driving strong CapEx even among non-mega-cap companies. Commodity and industrial investments poised to thrive as cycle accelerates into 2027.

• Inflation remains subdued; energy only starts to spill over into broader inflation 3-4 quarters from now.

• Raoul: The productivity boom and deflation mean future rate hikes may be a thing of the past.

  “We may never see a rate rise again because of the massively deflationary pressure… the late 90s were exactly this and what happened was you get periods of consolidation … nothing really blew up.” (38:37)

9. Liquidity: The Catalyst for Market Upside

• Andreas: Differentiates “narrow” (interbank) and “broad” (system-wide) liquidity:

  • Narrow liquidity still tight, but the Fed has ramped up reserve management/T-bill purchases to avoid market hiccups before the election.
  • Expect balance sheet contraction only once private-sector lending expands robustly.

  "You cannot shrink the Fed balance sheet more than what you've already done unless you allow the private sector balance sheet to expand a lot before that." (43:04)

• Raoul: Fiscal rebates, TGA drawdowns inject deposits into banks—boosting credit and risk capacity.

• Andreas: Most global central banks are easing, not tightening, despite fund managers being “all in” on risk. This is not normal for this stage of cycle and supports an amplified liquidity environment.

  “The average central bank is cutting interest rates. The average central bank is adding liquidity...it’s actually being amplified.” (49:18)

Quotes & Memorable Moments

• On Early Adoption:
  • “We're so early. As soon as you recognize that, it gets very comfortable as an investor ... all of the talk about whether we're in a bubble is silenced as soon as you get to the conclusion that no one's really using it yet.” (19:05, Andreas)
• On Macro’s New Job:
  • “Macro now has become this whole conceptual thing, because we are having to go through the biggest period of change humanity, the global economy, everything's ever gone through.” (34:14, Raoul)
• On Bubble Accusations:
  • “If I speak to any of my friends, they have no idea about any of this stuff. None of it.” (34:41, Raoul)
• On Tech and Commodities:
  • “Everything is one trade now, that everything is all this trade expressed in different ways.” (25:14, Raoul)
• On China’s Solar Race:
  • “They added more solar than the rest of the world, total solar, in one year.” (26:35, Raoul)

Timestamps for Key Segments

• CapEx Debate vs. Dotcoms: 07:02–11:52
• AI Correction & Earnings Outlook: 11:52–16:19
• Enterprise AI Adoption ≈ Internet 1996: 16:19–21:04
• AI Risk, S-Curve, and Market Volatility: 21:04–24:05
• Macro, Commodities, Barbell Thesis: 24:05–28:43
• China, Grid Expansion & Geopolitical Tech Race: 26:14–29:28
• Remote AI/Robotics, Shift in Global Labor: 29:28–32:46
• Margins, Profits, and Scaling AI: 32:46–34:14
• Business & Fiscal/Political Cycle: 35:57–38:37
• Liquidity: Narrow vs. Broad, Fed Strategy: 40:45–48:34
• Outlook & Top Trades: 50:04–53:42

Investment Ideas & Trade Preferences

• Andreas:
  • Favorite trade: Solar company “Next Power”—optimizes solar panel ROI, unknown among many U.S. managers. (50:15)
  • For equities: Mid to large-cap tech (just below “Max 7”), e.g., Next Gen Nasdaq ETF: “...when you see a pickup in the PMI cycle, it’s typically a very good trade signal for the small to mid, mid cap segment of the market as well.” (52:10)
  • Barbell strategy: Long commodities and technology while cycle is strong.
• Raoul:
  • Sees current set-up mirroring the “pre-bubble” late 1990s—with the true bubble phase still several years away.
  • Cautions: When tech falters and commodities keep going, that’s the run-to-safety signal.

Takeaways for Investors

• The major CapEx cycle in tech is healthier, less debt-fueled, and likely to pay off faster than previous supposed bubbles.
• Mass AI adoption is in extremely early stages—bubbles are only possible when everyone “gets it”; for now, most executives are still far behind.
• Productivity, profits, and margins will be driven structurally higher—market corrections in tech are buying opportunities, not harbingers of collapse.
• Liquidity conditions are more supportive than in past cycles; central banks are still adding, not subtracting fuel.
• The global macro chessboard (China, Japan, commodities, the US) is being remade around energy and “intelligence” transformation. This is an “everything is one trade” era.
• Next six to eighteen months: favor mid-to-large cap tech just below the “big 7,” and US solar/clean infrastructure, paired with select commodity/energy names.

Raoul’s closing note:

“We're all focusing on what does this all mean, this massive change in technology...what does it mean for economies, for markets, for portfolios? Hopefully Andreas and I managed to sort some of that out for you.” (53:44)