Does your workplace's AI adoption feel like "productivity theater"?
It's a common workplace trap these days: employees follow the "move fast, break things" imperative, using LLMs to try to prompt their way to making every task scale. But, no matter how perfect the prompt, many organizations are experiencing a simultaneous sort of cognitive inversion; the sheer volume of AI-assisted output is beginning to erode the very decision intelligence that the tech was meant to "buy back" time for.
Is this because, as the MIT Technology Review article linked below puts it, AI is currently 'a toddler' and the models being rolled out just need time to mature? Or is there a hole in the infrastructure, a sort of institutional QC layer, that's missing from current enterprise LLM implementations?
Food for thought.
The productivity paradox: Are we actually working smarter, or just faster? — MIT Technology Review →