A manager has started using AI to generate work and communicate in a furious, gleeful way that abandons process and planning: sprints and roadmaps are out, execution is immediate, and automated Slack messages flood the team. Downstream colleagues feel sidelined, unsure whether messages are meant for humans or machines, and uncertain what their role is - confirm the AI, adopt its perfect presentations, or ignore it. The narrator feels both liberated for the manager and abandoned as a person, noticing that AI removes interpersonal burden while creating a stream of polished, emotionless output that is hard to engage with or remember.
The situation produces organizational chaos: everyone uses AI, boundaries blur, and the only practical limits are access controls. Work becomes frictionless but sterile; people stop internalizing information because AI does the work and no emotional hooks remain for memory. The core problem is how to handle relentless AI-generated updates without reading everything and how to configure systems or workflows so machines react appropriately while humans stay informed and retain meaningful involvement. The post asks for practical approaches teams use to filter, coordinate, and preserve human context and learning in an environment dominated by automated outputs.
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