Link to original document: https://exenova.dk/notes/13/
Lars Jensen
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The Doorman Fallacy: Why AI Cost-Cutting Erodes Value

Discover why aggressive AI-driven cost reduction creates systemic risks. Learn how to avoid the doorman fallacy and prioritize long-term brand value over efficiency.

March 20, 2026
  • leadership and strategy (61)
  • future of work (57)
  • market and industry analysis (29)
  • culture and philosophy (23)

The Future of Coding: From Manual Labor to AI Agent Orchestration

Discover how software engineering is shifting from manual coding to AI agent orchestration. Learn how developers are becoming architects of autonomous systems.

March 20, 2026
  • future of work (57)
  • agentic ai (37)
  • artificial intelligence (29)
  • software engineering (26)

RAG vs. Long-Context: The Future of AI Architecture

Is the infinite context window replacing RAG? Explore the engineering trade-offs and discover why hybrid systems are the future of enterprise AI data access.

March 9, 2026
  • ai engineering (48)
  • artificial intelligence (29)
  • miscellaneous concepts (26)

The New Competitive Edge: Strategic Intelligence Allocation

Discover why the future of business strategy is shifting from resource allocation to intelligence orchestration. Learn how to scale with AI-native workflows.

March 6, 2026
  • leadership and strategy (61)
  • future of work (57)
  • agentic ai (37)
  • market and industry analysis (29)

Why Most Startups Fail: The AI Trap and Market Validation

Discover why AI-driven startups are failing. Learn why manual market validation is essential for business success and why easy tools can't replace product-market fit.

March 2, 2026
  • miscellaneous concepts (26)

Breaking Down AI Communication A2A vs. MCP

AI agents are incredibly smart, but getting them to talk to each other—or to your database—can turn into a messy web of custom integrations.

March 2, 2026
  • agentic ai (37)
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