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Build vs. Run: Insights from the Dust Blog

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Navigating the Build vs. Run Paradigm in the Age of AI

In an era of AI abundance, understanding the build vs. run framework is crucial for team scalability. This article explores how organizations can effectively blend these two functions to thrive without compromising human capital.

Key Insights:

  • Build: Focus on creating systems (code, documents) that generate value. Engineers typically embody this role, requiring equity as compensation.

  • Run: Encompasses repeatable outcomes (client interactions, internal operations). Jobs like account executives are predominantly run-oriented, incentivized with cash.

  • Zero-Sumness: The competition in sales is intense, making productivity gains critical. Companies not leveraging AI risk falling behind their rivals.

  • Transforming Teams: Post-AI, build jobs will dominate, necessitating talented engineers to maintain quality amidst higher risks associated with mediocrity.

If you’re looking to redefine your organizational strategies in response to AI advancements, let’s discuss how to implement this framework. Share your thoughts or experiences below!

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