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The employees engaging most with AI, and therefore doing the most "botsitting," are also more likely to be on the job market. This isn't just about tedious work; it signals to them that their current employer lacks a coherent AI strategy and isn't providing them with effective, context-aware tools.
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Employees, burned out from the unrewarded labor of "botsitting" (managing AI), eventually hit a breaking point. This leads them to "botshit"—delivering AI-generated work they can't explain or defend. The root cause is systemic, not just individual laziness.
The business case for AI isn't always about revenue or cost-savings. For SaaStr, the primary driver was solving employee burnout and churn in repetitive roles like SDR and content review. AI can provide operational consistency when people no longer want to do the work.
The widely touted time savings from AI are significantly eroded by "botsitting": the untracked, unrewarded work of feeding AI context, debugging outputs, and cleaning up its messes. This hidden labor is a primary reason individual gains don't translate to organizational wins.
A psychological paradox is emerging: workers who feel most threatened by AI are the ones who lean in the hardest. This is often a defensive reaction to appear "AI native," leading them to automate tasks indiscriminately, even parts of their job they enjoy and find meaningful.
The primary source of employee burnout in the AI transition isn't just an increased workload. It's the friction created when a small group of highly-skilled AI adopters dramatically outpaces their colleagues, leading to resentment and an unsustainable workload for the high-performers.
The productivity gains from individual AI use will become so significant that a wide performance gap will emerge in the workplace. The most talented employees will become hyper-productive and will refuse to work for organizations that don't support these new workflows, leading to a significant talent drain.
The workforce is bifurcating into AI super-users and laggards. 92% of C-suite executives are actively cultivating a new class of elite employees, who are 3x more likely to receive promotions and raises. Concurrently, 60% of these leaders plan to lay off employees who cannot or will not use AI, creating a two-tiered system.
Your most skilled AI professionals are also the most mobile. They recognize when their sophisticated work isn't creating value and will leave out of frustration. This turns a project-scaling issue into a critical talent retention problem, as your best people notice when intelligent work goes nowhere.
Employees who master AI tools become frustrated with the slow pace and incremental improvements of traditional organizations, leading them to quit. Once they experience AI's potential for radical speed, they can't go back to a pre-AI way of working.
For a modern company, being "AI first" means every employee must ask AI how to do tasks better and automate repetitive work. This is no longer optional. Leaders are issuing edicts that if employees aren't actively integrating AI into their workflow, they won't have a job, reflecting a major shift in performance expectations.
