Good Taste the Only Real Moat Left
rajnandan.com
April 7, 2026
10 min read
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56/100
Summary
AI and LLMs enable rapid generation of competent outputs, such as landing pages, product memos, and pitch decks. As a result, the importance of taste and judgment in tech has increased, distinguishing those who excel in these areas.
Key Takeaways
- AI and LLMs have made competent output inexpensive, shifting the advantage to individuals with strong judgment and taste.
- Taste is defined as the ability to distinguish quality under uncertainty, focusing on what to notice, reject, and explain in work.
- The economic shift caused by AI means that the ability to critique and refuse mediocre work has become the most valuable skill.
- AI-generated content often tends toward the average, highlighting the importance of human judgment to elevate work beyond generic outputs.
Community Sentiment
Positives
- AI-generated code can significantly accelerate development processes, but it still requires substantial human effort and clear vision to guide the output effectively.
- AI tools can enhance judgment and discernment in design and development, pushing teams to refine their critiques and improve their overall thinking.
Concerns
- The reliance on AI-generated content can lead to vague critiques, indicating that users may still lack the necessary clarity in their own judgment.
- There is a concern that teams may misuse AI by focusing on reverse engineering rather than envisioning ideal solutions, which could hinder innovation.
