Previous research has found that emotional (un)certainty can affect the depth of processing in decision making. Specifically, emotions associated with uncertainty appraisals (compared to those associated with certainty) reduce reliance on shortcut and intuitive processes. However, cognitive load has been shown to diminish deliberative processing observed in uncertainty associated emotion conditions (e.g., Small & Lerner, 2008). This study aims to explore the effects of emotional (un)certainty and cognitive load in a different domain: the use of chatbots. For this purpose, we used a brief essay task in which participants investigated a specific scientific topic and wrote a short essay with the help of ChatGPT. Participants assigned to one of four conditions: 1) uncertainty-high cognitive load, 2) uncertainty-low cognitive load, 3) certainty-high cognitive load, and 4) certainty-low cognitive load. The (un)certainty level was manipulated through emotion induction using anger-eliciting (certainty) and fear-eliciting (uncertainty) film clips. Cognitive load, on the other hand, was manipulated using a mental calculation task (e.g., Spatola & Chaminade, 2022). Data collection is still ongoing; however, the results obtained thus far indicate that cognitive load does not interact with the emotional uncertainty-certainty conditions. Nevertheless, consistent with the hypotheses, participants in the emotional uncertainty condition adopted a more elaborative information-processing strategy when composing their texts. In addition, as expected, participants in the uncertainty condition relied less on the information provided by the chatbot while writing. The broader implication of these findings is that, information-processing strategies associated with emotional uncertainty and certainty have been demonstrated in the context of artificial intelligence use.