Writing is an essential skill every individual should have. As writing, its process and its output lead to the notion of self-representation and identification. However, writing has evolved, especially with the emergence of Artificial Intelligence. The development of these AI tools resulted in the notion of generative text outputs. Thus, this research aimed to study AI’d (Artificial Intelligence produced) outputs contrastive to human-authored outputs. This research delves into analyzing rhetorics of personal narrative essays generated and written from and by the two data sources. The analysis was done through Labov and Waletzky’s (1997) PEN model and Kaplan’s (1966) cultural thought pattern. The results showed that AI’d essays resemble the moves-steps cited in Labov and Waletzky with five (5) out six (6) moves qualitative described as preferred. On the other hand, the human-authored essays deviate, having two moves marked as optional. In addition, the analysis of structure with Kaplan’s doodles as the basis, it was found that AI’d essays showed linearity in structure which manifested in the presence of all the moves, and its existence in its ordinal placements. In the case of the human-authored essays, the analysis showed features with a of mix oriental-like and linear structures which was realized through Move 2- Orientation and Move 3- Complicating Action re-existing one after another, then writing back to its main narrative. This led to the conclusion that AI’d and human-authored essays are contrastive with each other having contrastive results in resemblance and deviance on the framework used, in primacy in contents, and in genericness of outputs.
