While AI tools once gave creators an edge, they now risk producing democratized, undifferentiated output. IBM's AI VP, who grew to 200k followers, now uses AI less. The new edge is spending more time on unique human thinking and using AI only for initial ideation, not final writing.

The founder cautions against using AI for everything from art to development. He views it as a tool to accelerate repeatable tasks. The trap is that AI makes it so easy to build that founders may neglect to validate if they're building something people actually want, losing the essential human element of taste.

AI excels at averaging existing data, pushing outputs toward the middle. This creates a premium on genuine human creativity, which is needed for differentiation and to produce standout content. AI isn't replacing creatives; it's increasing the demand for their unique vision and ability to generate extremes.

True creative mastery emerges from an unpredictable human process. AI can generate options quickly but bypasses this journey, losing the potential for inexplicable, last-minute genius that defines truly great work. It optimizes for speed at the cost of brilliance.

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.

AI excels at replicating patterns from its training data. However, top-tier authors provide value by subverting expectations and introducing surprising connections—a skill rooted in creative, pattern-breaking thought that AI struggles with. The act of writing is the act of thinking, which can't be outsourced.

The primary path to success with AI isn't blind adoption, but critical resistance. Professionals who question, refine, and go beyond AI's initial 'easy button' outputs will produce differentiated, high-value work and avoid the trap of generic, AI-generated mediocrity.

Even when AI can perform a task better, professionals should consciously reserve activities for themselves. Tasks core to one's professional identity, credibility, and personal fulfillment—like authentic writing for an expert—should remain human-driven. The mantra is "just because it can doesn't mean it should."

While AI lowers the barrier to content creation for everyone, it simultaneously increases the value of uniquely human contributions. As AI-generated content becomes commoditized, attributes like lived experience, distinct perspective, and true originality will become the key differentiators for creators.