AI Should Focus on Correctness, Not Creativity

Since the launch of ChatGPT in 2022, many individuals have inadvertently adopted a practice of assigning artificial intelligence the more human-centric aspects of their work, such as drafting emails, brainstorming ideas, and formulating strategies from disparate thoughts. This approach has led to humans outsourcing the intellectually stimulating and challenging tasks that require cognitive effort, while still dedicating substantial time to mundane activities. A survey conducted by Slack indicated that the average employee dedicates approximately one-third of their workweek to tasks they personally deem "low value." For professionals in finance, these tasks might involve reconciling spreadsheets or searching for missing data, while for those in sales, it could entail reviewing contracts or updating customer relationship management (CRM) systems. These essential operational duties are crucial for a company's functioning. However, in an era characterized by advancements in humanoid robots, autonomous vehicles, and the pursuit of superintelligence, the continued reliance on human labor for these routine tasks is questioned.

A 2026 Boston Consulting Group survey revealed that 42% of regular frontline AI users report saving at least a full workday each week through AI utilization. Despite this significant time saving, more than half of these users stated they are not redirecting this reclaimed time toward more strategic work. The author posits that these "boring" tasks are precisely the ones that align best with current AI capabilities because they share a critical characteristic: the existence of a discernible correct answer. This principle, long held by the author, was reinforced through personal experience. As the CEO of Tabs, even after securing multiple funding rounds, the author personally managed billing and collections for several years, consciously avoiding the delegation of these functions until confident in AI's readiness to handle them accurately. This approach contrasts with what the author observes as a common misallocation of labor in most companies, where the initial accessibility of generative AI for creative tasks has made it the primary entry point for everyday employees experimenting with the technology. The open interface of tools like ChatGPT often serves as an invitation to engage in creative processes.