Is judgment becoming more important than skill in the age of AI?

Brian Eno’s 1995 insight about computer sequencers has become a prophetic framework for understanding the AI revolution. His observation that technology removes skill barriers and elevates judgment as the primary differentiator perfectly captures today’s AI landscape. As tools like ChatGPT, DALL-E, and GitHub Copilot democratize creation across writing, design, coding, and data analysis, the fundamental question shifts from “Can you do it?” to “Of all the things you can now do, which do you choose to do?” This paradigm shift demands a reevaluation of what constitutes valuable professional expertise in an age where technical execution increasingly takes a backseat to strategic decision-making.

The big picture: Just as digital audio workstations democratized music production, AI is eliminating technical barriers across creative and professional domains, making the quality of judgment the new key differentiator.

• AI tools now enable anyone to produce work that superficially resembles professional output in writing, design, coding, and data analysis.
• The technical skill gap that once separated amateurs from professionals is rapidly dissolving as AI assumes more execution-level tasks.

The new value proposition: When technical execution becomes automated, professional value shifts toward judgment-based skills that AI cannot easily replicate.

• Understanding what’s worth creating in the first place becomes more valuable than the ability to create it.
• Selecting the right approach from countless possibilities requires discernment that purely technical skills don’t provide.
• Evaluating output quality and understanding contextual appropriateness become critical professional competencies.

Future of work implications: As AI continues to evolve, career paths will increasingly prioritize strategic judgment over technical execution.

• The most valuable professionals will be those who can effectively frame problems, ask incisive questions, and make sound decisions.
• Providing meaningful direction to AI tools will become a core professional skill across industries.
• The ability to exercise good judgment becomes the most valuable professional asset as technical barriers continue to fall.

Historical context: Eno’s nearly 30-year-old observation about computer sequencers has proven remarkably prescient about our AI-powered future.

• His insight that “anybody can actually do anything” with digital tools predicted the democratization effect we’re now seeing with generative AI.
• The shift from “can you do it?” to “what should you do?” creates a blueprint for professional value in the AI era.