The problem with bad AI-generated work ('slop') isn't just poor writing. It's that subtle inaccuracies or context loss can derail meetings and create long, energy-wasting debates. This cognitive overload makes it difficult for teams to sense-make and ultimately costs more in human time than it saves.

Contrary to the narrative of AI reducing work, heavy users find it intensifies their workload. The immense leverage from AI makes it easier to get ideas off the ground and produce more in-depth output. This shifts the productivity gain from "working less" to "achieving more," leading to more complex projects, not more free time.

Contrary to expectations, the wealth of information from AI tools is not making governance easier. Leaders are experiencing information overload, which obscures rather than clarifies go/no-go decisions. The challenge is shifting from data generation to data synthesis and evaluation.

A Harvard Business Review study identified a new condition called "AI Brain Fry," characterized by mental fog, headaches, and slower decision-making. It's caused by the cognitive load of supervising multiple AI agents, constantly verifying outputs, and juggling tools, and is most prevalent in marketing and software engineering.

While AI agents don't argue or take unexpected vacations, they operate 24/7 and generate ideas at a relentless pace. This constant output creates a higher cognitive load and can be more tiring for managers than supervising a human team.

While AI increases output, it also intensifies the mental load. Engineers managing multiple AI agents in parallel report feeling 'wiped out' by mid-morning. The cognitive effort required to context-switch and manage numerous complex tasks simultaneously creates a new and potent form of professional burnout.

Instead of freeing up time, AI agents expand the scope of possible work, creating an endless queue of tasks. The key human skill becomes managing this "infinite backlog" and deciding what agents should do next, rather than executing the work itself. This introduces a novel form of professional overwhelm.

The promise of AI freeing up time can backfire for managers. As teams adopt AI tools, managers often bear the burden of checking for hallucinations and inaccuracies in AI-generated work. This adds a new layer of discernment and review, potentially increasing their workload instead of reducing it.

Research shows early AI adopters experience a more intense, frazzled workday. AI shifts the bottleneck from task execution to human oversight of an 'infinite backlog,' increasing multitasking and decreasing focused work, leading to burnout.