Investment research on the companies shaping the AI economy.
We analyze competitive advantage, capital allocation, and long-term value creation — turning complex technology businesses into clear investment theses.
- 5
- Foundational theses
- 6
- Framework pillars
- ∞
- Questions answered
Featured research
Foundational theses on the companies shaping the future.
Every report is written to be read like a business owner would read it — structure, moat, capital allocation, and long-term durability.
Microsoft
The default operating layer of the enterprise — now compounding through AI-native productivity and cloud.
Amazon / AWS
A relentless reinvestment machine spanning commerce logistics and the world's leading cloud infrastructure.
Distribution and data at civilizational scale, defending Search while building the next AI compute stack.
NVIDIA
The picks-and-shovels of the AI era — a full-stack platform for accelerated computing with a decade lead.
TSMC
The irreplaceable foundry powering the world's most advanced chips — a geopolitical and technological linchpin.
Research track 02
AI Value Creation
Understand the transformation.
How does AI move from technological capability to measurable business value?
We analyze how AI changes products, customer economics, operating models, and resource allocation — and whether those investments can generate durable returns.
Featured analysis
F5: Turning AI Infrastructure Growth into Business Value
AI is driving more applications, APIs, agents, and infrastructure complexity. F5 sits downstream of that growth in application delivery and security.
But exposure to AI growth does not automatically create value.
This analysis follows the chain from AI adoption → customer problem → product adoption → economics → resource allocation → long-term ROI to understand where F5 can capture value — and what could prevent that value from scaling.
Analytical structure
- 1Business Model
- 2Valuation
- 3Resource Allocation & Long-Term ROI
- 4Business Unit Growth Drivers & ROI
- 5Product Adoption & Customer Value/Cost
Research
Understand the business.
Long-term company and investment analysis using the existing Evergreen Framework.
AI Value Creation
Understand the transformation.
Analysis of how technological change translates into customer value, business economics, resource allocation, and long-term returns.
The Evergreen Framework
One repeatable lens for reading any business.
Every report — and every AI answer — is grounded in the same six pillars. It's how great investors have always thought about companies. We just made it structured, consistent, and always on.
Business Model
How the company actually makes money — the unit economics, customers, and repeatability of the cash flows.
Moat & Durability
The structural advantages that widen over time: scale, network effects, switching costs, and brand.
Industry Structure
The rules of the game — competitive dynamics, supply chains, regulation, and where power accrues.
Capital Allocation
Where every incremental dollar goes and what it earns — the truest signal of management quality.
Growth Engines
The real, verifiable drivers of future value creation — not narratives, not extrapolation.
Long-Term View
Where the business plausibly is in 5–10 years, and the assumptions that need to hold to get there.
Evergreen AI · Start here
Ask a research question. Get an analyst-grade answer.
Evergreen AI is not a general chatbot. It reasons only from the published EvergreenCore research on Microsoft, Amazon, Google, NVIDIA, and TSMC — and every answer points you to the exact report to read next.
- Grounded in real published theses — no hallucinated financials.
- Every answer recommends the specific research to read next.
- Compare businesses, moats, capital allocation, and framework pillars.
Every answer is grounded in the published EvergreenCore research on Microsoft, Amazon, Google, NVIDIA, and TSMC — and points you to the report to read next.
About
Research built to last.
EvergreenCore was built on a simple belief: most investment content is optimized for the next quarter. Very little is written to help you understand a business the way its operators do.
We publish deep, structured research on the companies that shape the modern economy — and pair every thesis with an AI research assistant that reasons through the same framework. The goal is not to predict prices. It is to build lasting conviction in businesses worth owning.
"Understand the business. The rest follows."
Contact
Let's talk about businesses worth owning.
Reach out directly. I read everything.
Great topics to write about
- 01Investment research collaborations
- 02Guest theses and contributions
- 03Feedback on the Evergreen Framework
- 04Access to Evergreen AI (early users)
- 05Speaking, podcasts, and interviews