The 'Botsitting' Trend: Is AI Creating More Work for Humans?

AI has burst into our daily work lives at an unprecedented pace, but it’s a relatively new phenomenon, only truly taking off in the last couple of years. We’re deep in a transition phase, where both the technology itself and how we interact with it are constantly evolving. This rapid integration has birthed a new, often unrecognized, cognitive workload: 'botsitting'.

As organizational psychologist Gurleen Baruah points out, recent workplace studies paint a clear picture: a significant majority of employees are now spending considerable time reviewing, correcting, or verifying AI-generated output. That, my friends, is botsitting in action.

The Hidden Cognitive Toll

The core issue isn’t that AI is unproductive; it can churn out content at lightning speed. The challenge lies in humans having to sift through it all, separating the genuinely useful from the inaccurate or irrelevant. This creates a fundamentally different kind of mental workload for employees. Instead of building from scratch, we’re constantly evaluating, filtering, and correcting.

This sustained vigilance isn’t just a minor annoyance; it dramatically increases our cognitive load, leading directly to mental fatigue. Baruah notes it can often feel more exhausting than just doing the work ourselves. While AI can assist our judgment, it absolutely cannot replace it, nor can it take on human accountability.

Why Botsitting Happens and Its Risks

This situation is becoming increasingly common. There’s a natural temptation, after hours spent meticulously checking AI’s work, to simply stop scrutinizing every detail and let AI-generated content pass through unchecked. The output might not be entirely wrong, but it frequently lacks crucial context, necessary nuance, or sound human judgment. Over time, this passive acceptance introduces several significant risks into our workplaces:

• Poor-quality decisions: Critical choices are made based on potentially flawed AI output.
• Rework and wasted time: What was supposed to be a time-saver often results in additional effort to fix inaccuracies.
• Reduced trust: Both in the AI tools and, potentially, in the human 'approvers' who let errors slip.
• Discouragement of critical thinking: Reliance on AI can overshadow the development of our own reasoning skills, as Baruah highlights.
• Hidden resource consumption: Every unnecessary AI query uses computing power and energy, adding to a less visible environmental and financial cost.
• Blurred accountability: Perhaps most critically, accountability becomes dangerously ambiguous. We can hold people accountable for their decisions, but an AI cannot be held responsible. That ultimate burden of responsibility always rests with humans.

So, while AI promises efficiency and innovation, it’s crucial we recognize this emerging ‘botsitting’ trend for what it is: a new form of cognitive labor. Managing it effectively requires more than just better AI; it demands a deeper understanding of human-AI collaboration, clearer guidelines, and a renewed emphasis on human critical thinking and judgment. Are we truly saving time, or just shifting the workload?