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This text is co-authored with generative AI. I conduct research on the co-evolution of technology and organizations, and I am also interested in how generative AI will change the intellectual production of individuals and organizations. I believe that generative AI holds the potential to go beyond the role of a convenient tool that assists and automates tasks, and instead serve as an interface for human-machine collaboration.

Recently, I read an article about how an executive at a global company utilizes generative AI in their work. While the article discussed how skillfully the executive wields generative AI as a tool, it felt to me as though they were collaborating with it almost on the same level as a colleague or secretary (that is, a human being they work with). Regardless of the subjective view of the person involved, I believe this suggests that, as an objective reality, an era is arriving where we engage in intellectual production by viewing humans, machines, and algorithms in parallel.

To experience that potential firsthand, I attempted to write this article by editing text output by a generative AI (ChatGPT). However, as a result, I ended up writing almost every sentence from scratch myself. ChatGPT raised several important topics and provided a flawless draft that considered both positive and negative aspects, but using that as a base made the writing feel superficial, and my own voice did not come through well. Among those around me, the more seriously people take the integration of generative AI into their own intellectual production, the more they tend to point out its limitations.

However, this does not necessarily mean that the quality of generative AI is low. In fact, I use generative AI in various situations such as coding and English proofreading, and these lead to faster and more accurate work than if I were to create them from scratch. It can be used extremely effectively for tasks where correct and incorrect answers or levels of quality are generally established and can be confirmed and verified by oneself. On the other hand, when it comes to tasks like writing an essay, I feel it is quite difficult to get text that is actually usable as-is beyond just brainstorming themes. I realized that even more than the further evolution of generative AI, there is a need for the author (the human side) to evolve the methods of collaboration with generative AI. The hurdle for AI to permeate widely into work, organizations, and management in the future may lie on the human side rather than the machine side.