
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:
Generative AI (Beyond ChatGPT)
Future Proofing America
Longevity & Healthspan
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.
