Your prompts are disposable. Your rejections compound. Here's the skill nobody is developing (+ the guide kit to start)
Why generation is now a commodity. The GDPval data, the agent reliability gap, and what they mean for where competitive advantage actually lives.
TL;DR
- AI output is often rejected by domain experts for flawed framing and reasoning.
- Rejection, not generation, is where knowledge is created and value compounds.
- Organizations succeed or fail based on how they handle the 17-30% of knowledge work tasks where AI is incorrect.
- The skill of identifying and explaining AI errors is valuable but not currently captured or compounded.
- Generation is becoming a commodity due to AI's capabilities.
- Developing rejection as a competency involves recognition, articulation, and encoding.
- Encoded rejections can create a flywheel effect, with Epic Systems serving as an example.
- A decline in entry-level tech hiring threatens the pipeline of experts crucial for AI development.
- Actionable advice and tools are provided to help individuals and organizations start capturing and compounding rejections.