Introduction: Investing With Direction

Markets are dynamic. Capital flows shift. Narratives evolve.

But long-term investing isn’t about chasing headlines — it’s about identifying structural themes early.

This year, I’m focused on four powerful trends:

  1. Generative AI (Beyond ChatGPT)

  2. Future Proofing America

  3. Longevity & Healthspan

  4. Cloud Infrastructure & Data Platforms

Let’s break them down.

Generative AI — Beyond ChatGPT

Generative AI saw an unprecedented capital surge in 2023 — over $27B invested, with tech giants leading the charge.

But the next wave won’t be about general tools.

It will be about specialization, infrastructure, and outcomes.

🔹 Vertical AI

Horizontal AI tools serve everyone.

Vertical AI serves specific industries — law, finance, healthcare — embedding domain expertise directly into models.

Example:

  • Laurel.ai – Automates compliant narrative generation in legal/accounting workflows.

Why it matters:

  • Higher switching costs

  • Industry defensibility

  • Clear ROI for enterprises

🔹 The GPU Bottleneck & New AI Infrastructure

High-end GPUs (like Nvidia’s H100) are scarce and expensive.

This constraint is fueling innovation in:

  • Decentralized compute networks

  • Model optimization companies

  • Alternative AI chips

Notable players:

  • Groq – Built the Language Processing Unit (LPU) for ultra-fast inference.

  • Together.ai – Democratizing access to compute.

The race isn’t just about models.
It’s about who controls the infrastructure layer.

🔹 AI Agents

We’re entering the era of autonomous AI agents.

Instead of answering questions, agents:

  • Interpret intent

  • Execute tasks

  • Orchestrate workflows

Emerging companies:

  • Sierra

  • Mindy

  • Xembly

We may be early in the hype cycle — but the long-term potential is massive.

🔹 Business Model Disruption

AI is also reshaping pricing models.

Example:

  • Intercom moved from seat-based pricing to cost-per-resolution.

Outcome-based pricing could become the default in AI-powered SaaS.

🔹 Open vs Closed Models

The battle is intensifying between:

  • Open-source models

  • Closed proprietary systems

Meanwhile:

  • Apple entering LLMs could reshape the ecosystem.

  • Perplexity AI challenges traditional search.

Big question:
Will a new unicorn emerge from the GPT App ecosystem?

Future Proofing America

We are entering an era of de-globalization.

Supply chains are localizing.
Defense spending is rising.
Energy independence is becoming strategic.

This isn’t just political — it’s structural.

🔹 Defense & American Dynamism

Companies reshaping defense:

  • SpaceX

  • Anduril

  • Palantir Technologies

The narrative shift:

“Connecting the world is out. Rearming the arsenal of democracy is in.”

🔹 Climate & Energy Independence

The Inflation Reduction Act injected historic capital into clean energy.

Opportunities include:

  • Renewable energy

  • EVs & batteries

  • Carbon capture

  • Energy storage

Key companies to watch:

  • Redwood Materials

  • Ascend Elements

Government incentives dramatically reduce capital risk in climate tech.

3️⃣ Longevity, Lifespan & Healthspan

Lifespan = Years lived.
Healthspan = Years lived in good health.

The distinction matters.

🔹 Proactive & Remote Healthcare

Digital health exploded post-pandemic.

Innovators include:

  • Clover Health

  • Alto Pharmacy

  • Forward Health

Primary care is being redesigned from scratch.

🔹 GLP-1 Revolution

Drugs like:

  • Ozempic

  • Wegovy

Are transforming obesity treatment.

Forecast:
GLP-1 market could exceed $150B by 2031.

Obesity intersects with:

  • Metabolic health

  • Aesthetics

  • Preventative medicine

🔹 Anti-Aging & Deep Science

Companies pushing the frontier:

  • Altos Labs

  • Neuralink

The promise:
Sequence genomes.
Train for 100-year vitality.
Merge biology with computing.

Healthcare investing has been volatile — but innovation has never been stronger.

4️⃣ Cloud Infrastructure — The Next Snowflake?

The cloud market now exceeds $480B.

Yet the ecosystem is confusing:

  • ETL

  • ELT

  • MDS

  • OLAP

  • NoSQL

Thousands of companies. Fragmented landscape.

🔹 Data Stack Evolution

From data pipelines to modern warehouses:

Major players:

  • Snowflake

  • Databricks

Databricks introduced the “lakehouse” — merging data lakes and warehouses.

Big question:
Who becomes the next Snowflake-scale breakout?

🔹 Databases & Abstraction

There are 300+ database types.

Competing against hyperscalers like:

  • Amazon Web Services

  • Microsoft Azure

  • Google Cloud Platform

Requires:

  • Deep technical moat

  • AI-native architecture

  • Developer love

Emerging abstraction layers:

  • Supabase

  • Apollo

The infrastructure layer is still wide open.

Final Thoughts

I don’t have all the answers.

But I do have conviction in the direction.

The next decade will be shaped by:

  • AI agents & vertical intelligence

  • National resilience & climate independence

  • Radical health innovation

  • Data infrastructure dominance

The real opportunity isn’t predicting the future perfectly.

It’s asking better questions early.