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The article argues that AI adoption should be measured by actual value delivery to customers rather than intermediary metrics like AI usage rates, emphasizing the importance of investment and cycle time in evaluating outcomes.
A tweet discussing how AI pricing should be aligned with value delivered, contrasting outcome-based and usage-based models, with insights from Zack at Sierra Platform.
A distinguished engineer at AWS argues that AI tools have increased output volume but not genuine value, leading to stagnation in product quality and innovation.