The original title is "AI Agents Made Me Faster. Then Attention Became the Bottleneck."

Short summary

After initial productivity gains from AI agents, the author discovered that human attention—not model capability—became the real bottleneck. Agents could execute tasks but couldn't decide what mattered next, forcing the human into the role of scheduler, memory layer, and routing system. As agent capability expands the surface area of plausible work, the risk shifts from underutilization to cognitive overload and burnout without a proper operating model for routing and prioritization.

• •AI agents accelerate execution but create an attention bottleneck: the human becomes the scheduler, memory, and routing layer
• •More agent capability increases cognitive load by expanding the surface area of plausible, actionable work
• •Prompting alone is not an operating model; teams need systems for routing, prioritization, and context management to avoid burnout

Generated with AI, which can make mistakes.