Selling AI tools is a dead game. Selling outcomes is the only play.
Summary
This article argues that selling AI tools alone leads to a race to the bottom, and instead recommends selling outcomes by using AI to deliver existing services more efficiently, highlighting a shift from builders to operators.
Similar Articles
Everyone is selling AI agents, but almost nobody is selling the workflows to make them useful.
The article argues that while many are building and selling AI agents, the real value lies in the workflows and training that make them useful, not the underlying technology.
I don't think learning more AI tools is enough anymore.
The article argues that learning to use AI tools is not enough; the real advantage comes from building systems, gaining attention, communicating ideas, and creating products people want. Execution and combination of skills will matter more than just AI proficiency.
Long AI Short AGI (3 minute read)
This article argues that AI intelligence is becoming commoditized, similar to compute and storage, and that the most valuable companies will not be model builders but those who own customer relationships, proprietary data, and workflows.
The shift from tokenmaxxing to efficiency is going to break a lot of AI pricing models
The article discusses how enterprises are becoming more efficient with AI usage, leading to a shift away from token-based pricing models toward outcome-based pricing, which could break many current AI product pricing strategies.
Is your AI strategy burning capital or building it?
The article critiques the current AI mania in enterprises, where skyrocketing costs often outweigh ROI due to inefficient usage like token maxing. It advocates for a dual focus on organizational fluency and algorithmic cost mitigation, such as Observation Masking, to transform AI from a capital burner into a value creator.