AI isn't going how we thought it would

2026-03-25 · Source: David Shapiro · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Intermediate, extended

Summary

The author explores the relationship between creativity and artificial intelligence, noting that AI's speed can rapidly deplete a creator's "well" of inspiration. Using the music generation platform Suno as an example, the author describes creating four albums in a few weeks in late 2024, followed by a year and a half of creative inactivity. This rapid output contrasts sharply with the decades it might take a conventional musician. The author posits that AI-driven creative tools, by removing traditional bottlenecks like instrument acquisition or band coordination, make the human creator the sole limiting factor, leading to burnout. Furthermore, the author suggests that AI-generated content, being precisely what the user wants, lacks the unexpected novelty crucial for sustained engagement and curiosity, which is a core human need. This phenomenon extends to professional AI usage, where initial novelty has reportedly worn off, leading to decreased adoption.

Key takeaway

For product managers developing AI-powered creative tools, you should focus on integrating elements of unexpectedness and external input rather than solely optimizing for user control and speed. Your designs must account for the human need for novelty and the risk of creative burnout when bottlenecks are removed. Consider how to introduce "high entropy input" to prevent user fatigue and ensure sustained engagement beyond initial curiosity, fostering a more enduring creative partnership with AI.

Key insights

AI's speed and user-driven nature can deplete creative inspiration and diminish the essential thrill of unexpected novelty.

Principles

• Creativity requires "refilling the well" through real-life experiences.
• Human novelty-seeking is crucial for sustained creative engagement.
• Unpredictability is key to enjoying creative content.

In practice

• Prioritize real-world experiences to fuel creative output.
• Seek external, high-entropy inputs to maintain novelty.
• Recognize AI's potential to accelerate creative burnout.

Topics

• AI and Creativity
• Generative AI
• Creative Burnout
• Novelty Saturation
• Human-AI Interaction

Best for: Product Manager, Entrepreneur, Creative Technologist, AI Product Manager, Prompt Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by David Shapiro.