The CC button is older than you think

The article argues that AI-assisted work may repeat a longstanding pattern seen with carbon paper, photocopiers, email reply-all, and PowerPoint: when producing information becomes cheap and easy, organizations generate more material than people can realistically review or use. While AI promises faster drafting, research, and coding, the author contends that human judgment, verification, reconciliation, and decision-making remain the true bottlenecks, creating longer queues rather than necessarily improving productivity. Citing projected growth in enterprise AI agents and the emerging term “workslop,” the piece highlights the costs of plausible but insufficiently reliable AI-generated output, including rework, reduced trust, and reported productivity losses. It concludes that organizations should focus less on how quickly AI can produce material and more on whether recipients have the capacity to assess and act on what it generates.

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