How to develop taste for thriving with AI at work

TL;DR

Taste is a core human skill that remains valuable as AI handles more grunt work. Cultivate it by building deep experience in areas you care about, and use it to judge and refine AI outputs rather than accepting them blindly. You can guide AI interactions with specific feedback to shape useful work that reflects your expertise.

Transcript

I think we don't talk enough about what it really takes to be successful in 2025 with AI. And I know, right, that's me saying that and I do prompts and this and that. But one of the things that hasn't really been mentioned that I haven't really talked a ton about that I see a fair bit of in actual AI interactions is the necessity and importance of ... Read More

Key Insights

• Taste is the core differentiator that remains when AI handles the grunt work, making it essential for success in an AI-enabled world.
• The key to leveraging taste is to cultivate it through diverse experiences and evolving interests, not just by following a single career track.
• Taste is not elitist; anyone can develop it by focusing on areas they care about deeply and integrating it with AI tools.
• AI can perform repetitive tasks quickly, but human taste adds judgment and refinement that AI cannot replicate at a deep level.
• A mature use of AI involves guiding the model actively, not being overly deferential or overly skeptical, by providing specific feedback on outputs.
• Deep expertise and embodied experience give people an edge in shaping useful AI work that aligns with real-world needs.
• As AI advances, the leverage in work shifts from raw output to the ability to demand high-quality, meaningful results shaped by taste.
• Taste works across domains, from fashion to books to sports, showing its broad applicability and value in career development.
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Questions & Answers

Q: How can I start developing taste in my career today?

Begin by identifying areas you already care about and collect experiences related to them. Build a habit of noticing what feels right or wrong in outputs and use that sense to critique and improve AI results. Over time, this accumulation of intuition and concrete feedback creates a sharper sense of taste that guides decision making and collaboration with AI.

Q: Why is taste more important than ever with AI growing complex?

Because AI excels at grunt work while taste provides nuanced judgment, context, and values that AI cannot easily replicate. As models improve, the human edge shifts toward refining, shaping, and applying outputs in ways that align with deep expertise and real-world needs, making taste a critical differentiator for impact and career growth.

Q: What does it mean to push back against AI outputs effectively?

Pushing back means specific and constructive feedback rather than a generic rejection. Point out what parts work, what feels hollow, and suggest replacements or refinements. This helps the model learn preferences and produces outputs that better reflect your expertise and judgment without discarding AI assistance entirely.

Q: Can taste help in early career stages, not just with senior roles?

Yes, taste thrives in early stages by allowing newcomers to develop a niche, follow curiosity, and demonstrate reliable judgment. By deeply engaging with a topic and providing thoughtful feedback on AI-made work, you build credibility and accelerate growth while the AI tools handle routine tasks.

Q: How does taste relate to the use of different AI tools and platforms?

Taste informs how you select tools and how you integrate outputs across platforms. It helps you decide when to rely on Excel, Word, or code environments, and how to harmonize artifacts into coherent work. Your taste guides what to emphasize, refine, or discard in AI-generated results.

Q: What is the role of experience in developing taste?

Experience fuels taste by exposing you to varied situations, outcomes, and feedback loops. Through engagement with books, fashion, sports, or other domains, you accumulate opinions and patterns that let you judge AI outputs more accurately and push for higher quality, more relevant results.

Q: How should one balance speed and taste when using AI?

Aim for a productive tempo where you leverage AI for rapid idea generation but pause to evaluate quality, relevance, and alignment with your standards. Use precise feedback to steer the model toward outputs that reflect your taste rather than accepting fast but hollow results.

Q: What happens when AI tools become better at specific tasks than humans?

When AI improves at routine tasks, human value rises in areas requiring judgment, synthesis, and nuanced understanding. Your taste helps identify these areas, shape outputs, and guide AI collaboration so that the final work is meaningful, trusted, and aligned with human expertise and values.

Summary & Key Takeaways

• Taste is the defining human advantage that survives increasing AI capability and is essential for career growth in any field.

• Taste develops from accumulated experience and curiosity, not just formal work, and it evolves over a career as interests change.

• The practical use of taste is to demand useful work from AI, push back when outputs feel hollow, and guide models with precise feedback to reflect personal expertise.