The article discusses how the industry's focus has shifted from measuring developer productivity by outcomes to measuring it by volume of code written, with AI vendors claiming a large percentage of their code is AI-generated. This shift is seen as problematic, as it may lead to layoffs and budget cuts based on flawed metrics. The article argues that adoption of AI tools is not the same as measuring their actual impact on productivity and customer value. The author suggests that the industry should focus on battle-tested metrics such as DORA metrics, reliability, and revenue to measure the effectiveness of AI adoption.