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As generative AI raises the technical floor for skills like coding, the crucial differentiator for talent becomes "taste." Priyanka Vergadia defines this as a candidate's unique perspective, style, and lived experiences, which are necessary to create exceptional, non-generic work.
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With AI trivializing the mechanical act of writing code, the most valuable traits for emerging engineers are no longer just technical proficiency. Instead, employers will seek demonstrated agency (the drive to build), taste (knowing what to build), and a commitment to quality.
When every company has access to the same powerful AI tools, the competitive advantage is no longer budget or technology. The real differentiator becomes human taste, judgment, and the ability to apply a unique point of view to guide the AI, separating average, generic output from exceptional work.
As AI agents automate code-writing, companies like WorkOS are hiring "product engineers" who possess taste, product sense, and strong communication. The stereotype of the purely technical, anti-social developer is becoming unemployable in modern tech companies.
Notion's CEO argues that LLMs democratize raw capability (like writing or coding), making it a commodity. The most important hiring criteria are now "taste" (a strong value system and direction) and "agency" (the will to get things done).
As AI democratizes the technical aspects of content creation, the ability to guide it with unique perspective, craft, and taste becomes the key differentiator. AI is a powerful tool for experts to scale their vision, but it cannot replace the vision itself.
With AI commoditizing the speed of output, the most valuable and defensible skill is a designer's innate taste and craft. Cash App's Head of Design prioritizes this "eye for good" over prestigious experience, noting it's the hardest quality to teach.
As AI automates orchestration and process management, the primary human contribution shifts to "taste making." This is the unique ability to apply judgment, creativity, and strategic nuance to elevate AI-generated work from average to exceptional, making it a critical new skill.
With code becoming cheaper and faster to write thanks to AI, the critical differentiator is no longer the ability to build, but the judgment and taste to decide what is worth building among countless user requests and possibilities.
As AI tools commoditize writing code, the challenge shifts from 'can we build it?' to 'should we build it?'. The most valuable skill is now 'taste'—the nuanced understanding of user needs, market dynamics, and product quality that guides development toward an elegant solution.
With AI handling execution, the differentiating skills for knowledge workers are no longer technical. Instead, value comes from having a distinct vision (taste), the initiative to pursue it (agency), and the ability to organize complex projects (structure).
