> In a provocative GitHub post, machine-learning engineer Han-Chung Lee argued that even rosy internal numbers that do show AI-assisted productivity gains are suspect, as they’re produced to hit adoption targets no one can effectively audit.

Isn't this fundamentally what MBAs do with their time? Keep going with this analysis, because it goes much deeper... In my experience, BI is often a house of cards. A lot of times it's just narrative crafting, just like we're all encouraged to do when we write our resumes.

Can you embellish a story? Can you invent a convincing political narrative? As far as I can tell, that's the fundamental unit of US corporation.