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[size=6]Investing in AI: Six Mental Models to Tell Moats from Traps
by Rob May
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ISBN: 9798950098062
Publisher: Bat House Press
Year: 2026
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📂 Category: Big Data Businesses, Financial Risk Management
🌐 Language: English
📄 Pages: 243
Description:
In the emerging world of AI, the same product can be a moat, a trap, or a lottery ticket. The difference is not the technology. It is the economics.
The old SaaS investing playbook assumes smooth adoption curves, tidy unit economics, and software margins that improve as you scale. AI companies break those assumptions. Every prompt can carry a cost. Usage can swing wildly. And a product that looks impressive in a demo can still be a bad business.
Investing in AI is a practical reset for investors looking for a new edge in the age of AI. This book replaces the SaaS playbook with six new mental models for spotting defensible businesses that are built to last-even when the technology shifts beneath them.
The world is changing, and the future is unwritten. Don’t let old habits stop you from seizing new opportunities.
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📦 DOWNLOAD INFORMATION
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Folder:
Investing In AI Six Mental Models To Tell Moats From Traps
Format:
EPUB
Total Size:
2.1 MB
📋 FILE LIST
[size=2]
📌 Investing In AI.epub (Rob May) (2026) (2.1 MB)
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