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The AI Economics Academy
25 authority curriculum tracks built from published frameworks in CIO.com and Built In — spanning AI economics, AI agents, leadership, career capital, M&A integration, and executive governance.
25
Authority Tracks
303
Deep Modules
$149
Per Track
4 tracks
Engineering Economics Foundations
R&D capital allocation, unit economics, financial modeling
10 tracks
AI, Cloud & Agent Economics
AI inference costs, cloud FinOps, agent governance, model arbitrage
7 tracks
Career Capital & Leadership
CTO training, engineering-to-executive, remote teams, DX economics
8 tracks
Executive & Board Economics
Board reporting, M&A integration, vendor economics, AI governance
Syllabus Preview
Explore What You'll Master
Click any authority track to expand its first 3 modules and topics.
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Track 1 — Foundations
Engineering Economics Foundations
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Track 2 — AI-First (Flagship)
AI AI Economics
💎
Track 3 — Executive
R&D Capital Management
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Track 4 — Capstone
Capstone & Applied Practice
📱
Track 5 — Product
Product Management Economics
🧠
Track 6 — AI Ops
AI Operations Economics & Cost Governance
☁️
Track 7 — FinOps
Cloud FinOps & AI Cost Management
💰
Track 8 — NEW
AI Pricing Strategy & Monetization Economics
🏚️
Track 9 — NEW
Technical Debt as Financial Liability
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Track 10 — NEW
AI Due Diligence for Investors & Acquirers
⚖️
Track 11 — NEW
Economics of Build vs. Buy for AI
📈
Track 12 — NEW
Career Capital Economics
👑
Track 13 — NEW
Engineering-to-Executive Economics
🔥
Track 14 — NEW
The Economics of Leadership (Not Management)
🌍
Track 15 — NEW
The Economics of Remote & Distributed Teams
🏗️
Track 16 — NEW
M&A Technical Integration Economics
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Track 17 — NEW
The Economics of Developer Experience (DX)
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Track 18 — NEW
Vendor & Contract Economics for Engineering Leaders
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Track 19 — AI Agents
AI Agent Architecture & Economics
⚙️
Track 20 — AI Agents
Agentic Process Automation Economics
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Track 21 — AI Agents
AI Agent Governance & Trust Infrastructure
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Track 22 — Leadership
Strategic Leadership Economics
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Track 23 — Leadership
Executive Presence & Board Leadership
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Track 24 — NEW
AI Economics & Margin Engineering
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Track 25 — NEW
Probabilistic Software Engineering
🚀
Track 26 — NEW
Startup Economics
🏛️
Track 27 — NEW
Boardroom AI Governance
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Track 28 — NEW
The AI Economist Masterclass
Frequently Asked Questions
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Empirical Context
Research Foundations
Beehiiv• August 7, 2026
How to Prevent Memory Loss in AI Applications
LinkedIn• August 6, 2026
Giving an AI a bigger memory window is like giving a confused worker a bigger inbox.
Beehiiv• August 6, 2026
Claude Search Fails: Prompting Kills Adoption
LinkedIn• August 3, 2026
More Memory Creates Clutter: Why 1M-Token Context Windows Break AI Agents
Beehiiv• July 31, 2026
How to Stop Unauthorized AI Agent Database Actions
LinkedIn• July 30, 2026
The Moment Your AI Starts Taking Actions, the Rules Change
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Want to apply this to your organization?
Run a free diagnostic first. If the numbers concern you, book a session to build a remediation plan.
Richard Ewing — AI Economist & Capital Auditor