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Pompliano & Visser: The AI Tsunami Is Real (And We're Early)

Lisa Tamati | 01/06/2026
Futuristic institutional analysis report dashboard overlooking a neon city skyline, showing 21 new market highs in 5 months, a 60% AI portfolio return versus 10% for the S&P 500, and key themes of AI infrastructure compounding, biotech-AI convergence, and policy support driving markets

Lisa Tamati reporting on the conversation between Anthony Pompliano and Jordi Visser. For informational purposes only — not financial advice. This contains hypothetical analysis and trade ideas. Consult a licensed financial advisor before making investment decisions.

We're in the First Inning. The Infrastructure Buildout Is Just Beginning.

Jordi Visser and Anthony Pompliano are making a bullish call on AI infrastructure that's backed by real earnings data and structural demand that's nowhere near saturation.

The critical insight: we're not late-stage. We're early. Very early.

Here's why.


The Earnings Case Proves the Growth Is Fundamental

This isn't speculation. This is earnings growth outpacing stock appreciation.

Stock market up 9–10% to start 2026. Earnings up 14–15%.

When earnings grow faster than stocks, valuations are compressing, not expanding. That's the opposite of a bubble.

  • Johnson Redbook (consumer spending) — up 9% year-over-year, accelerating despite higher gas prices
  • PMIs — strong across sectors globally
  • MSCI World Index — at all-time highs (not just US — global demand is real)
  • Global AI infrastructure demand — 15–20 international semiconductor companies at all-time highs (ASML and others leading the charge)

This is fundamental economic strength, not speculation. When consumer spending accelerates despite headwinds, it signals genuine demand, not artificial stimulus.


The 100-Name AI Portfolio: Not Survivorship Bias, Just Real Selection

Visser's 100-name AI thematic portfolio is up 60% while the S&P is up 10%. 46 names have doubled in one year.

Critics will call this survivorship bias. Visser would counter: it's not bias if you can actually replicate the selection process.

The point isn't that he got lucky picking winners. The point is that AI infrastructure as a sector rotation is just beginning. When you have visibility into the structural demand drivers (compute, energy, semiconductors), you can identify the beneficiaries before the broader market catches on.

The portfolio's performance suggests:

  • Infrastructure rotation is real — money is systematically moving into AI infrastructure
  • Valuations are still reasonable given growth — earnings growing 14–15% with multiples staying rational
  • The move has further to run — early movers in a structural rotation aren't expensive; they're appropriately valued

The Biotech-AI Convergence: Eli Lilly as the Poster Child

Eli Lilly posting 55% revenue growth at trillion-dollar scale is not a bubble signal. It's evidence of genuine structural transformation.

"Their revenues are up 55% year-over-year. Eli Lilly is in partnership with Encilico. They are in partnership with Isomorphic Labs."

This isn't speculation on drug approvals. This is GLP-1 adoption (Ozempic, Mounjaro) + AI drug discovery partnerships creating compounding growth.

When you have:

  • Obesity drugs with a $100B+ addressable market (and growing)
  • AI partnerships with Isomorphic Labs and others accelerating drug discovery
  • A trillion-dollar company still posting 55% growth

...you're not in a bubble. You're watching a company in the early phase of structural transformation.

LLY isn't expensive relative to its growth and optionality. It's appropriately valued for what it can become with AI-driven drug discovery.


Policy Support Is Structural, Not a Warning Sign

The Buffett Indicator at 235% looks extreme on its surface. But Visser's framing is important:

"They can't let the Buffett indicator go down. You have two choices... or I have to allow a great depression to reset everything. And that's not an option."

This isn't cynicism. It's structural reality.

Wealth inequality creates political pressure to support asset prices. But that policy support isn't artificial or temporary — it's structural because the political choice is real and permanent:

  • Option 1: Let markets correct → Depression → Social unrest → Instability
  • Option 2: Support asset prices → Wealth concentration continues → Tension builds but system stable → Policy adjustment over decades

Policymakers have chosen Option 2. And they'll stay committed to it.

This means: the Buffett Indicator can stay elevated for longer than historical precedent because policy is intervening to prevent the compression. This isn't a bubble waiting to pop. It's a new regime where policy support is permanent.


The Real Reason We're Early: Infrastructure Constraints

Here's the structural argument for "first inning":

AI infrastructure doesn't scale infinitely. It's constrained by:

  • Wafer capacity — TSMC, Samsung, Intel Foundry can't produce fast enough. Years of fab buildout ahead.
  • Energy infrastructure — data centers are power-constrained. Nuclear, renewable, and grid upgrades take decades.
  • GPU connectivity — bottlenecks in chip-to-chip communication require new architectures (Astera Labs territory).
  • Chip design cycles — each generation of optimization takes 18–24 months minimum.

These constraints mean:

  • The buildout is structural and multi-decade — not a 2-year sprint that ends in oversupply
  • Pricing power persists — you can't oversupply a market constrained by atomic limitations
  • Early positioning has runway — we're genuinely in year 1–2 of a 10+ year cycle

When someone says "first inning" in a world where semiconductor capacity is the limiting factor, they're right. We haven't even started ramping production to meet actual demand.


Market Resilience as Strength, Not Complacency

Visser notes: "Markets handle good news well and bad news barely moves. That's the definition of a bull market."

This isn't complacency. It's rational confidence in structural fundamentals.

When markets are resilient despite geopolitical noise (Middle East tensions, China concerns, election dynamics), it signals that:

  • Investors believe in the infrastructure story — geopolitical concerns can't dislodge conviction
  • Demand is genuine — you don't see this kind of resilience on speculative moves
  • The trend is strong — true bull markets absorb bad news and continue higher

This is healthy market behavior reflecting genuine demand, not artificial support.


The Consumer Spending Acceleration: Real Demand, Real Wealth Effect

Johnson Redbook up 9% year-over-year, accelerating despite higher gas prices, signals:

  • Wealth effect is working — rising asset prices (stocks, real estate) are driving consumer confidence
  • Employment is holding — spending this strong means jobs are stable and accessible
  • Consumers believe in the future — spending accelerates when people expect future income growth

This is the foundation of any bull market. And it's present here.


The Trade Structure

With conviction in the infrastructure thesis:

Eli Lilly Bull Call Spread (Biotech-AI Convergence)

Structure: long $900 calls, short $1000 calls, 90 DTE. Max profit: $100 per spread (67% return on margin). Max loss: premium paid (~$40). Breakeven: $940. This captures LLY's AI drug discovery upside with defined risk. The growth justifies higher prices; this spread captures the upside while staying prudent.

AI Infrastructure Core Position (Unbounded)

The thesis supports core holdings in:

  • Semiconductors (NVIDIA, TSMC, Broadcom, Astera Labs)
  • Energy (nuclear, renewable, grid operators)
  • Biotech-AI convergence (LLY, others with AI partnerships)
  • Data center infrastructure (cooling, power, connectivity)

These aren't trades. These are multi-year positions in a structural rotation.

Defined Risk on Rallies (Spreads, Not Full Exits)

Use strength to:

  • Sell call spreads on rallies (capture upside while taking profit)
  • Scale up on dips (dollar-cost average into conviction trades)
  • Never go full defensive (the trend is strong)

What This Means

Visser and Pompliano are correct:

  • AI infrastructure demand is real and structural — backed by earnings growth and fundamental consumption patterns
  • We're genuinely early — wafer/energy/connectivity constraints ensure a multi-decade buildout ahead
  • First inning is accurate — not because we're at a peak looking back; because the buildout timelines are decades-long
  • Policy support is permanent — not a warning sign but a feature of the new regime
  • Positioning now captures the rotation early — when sectors rotate, early movers compound the gains

The 100-name portfolio up 60% vs 10% reflects genuine sector rotation in progress, not late-cycle euphoria. It reflects early positioning in infrastructure that will compound for a decade.

When consumer spending accelerates, earnings grow faster than stocks, and global demand is validated, you're in a structural bull market in its early phases — not a late-stage bubble.


This is analysis of a macro conversation — not financial advice. All trade ideas are hypothetical and educational. Options strategies carry risk and require experience. Conviction in a thesis doesn't eliminate volatility or drawdowns. Structural trends can have tactical corrections. Consult a licensed financial advisor before trading. Past performance doesn't guarantee future results.

Lisa Tamati reports on AI infrastructure, markets, and structural investment cycles at PTLsignal.com

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