A data science team has developed a large language model by training it on a vast corpus of public internet data. The model's sole training objective was to become highly proficient at predicting the next word in a sequence of text. A new project requires a system to classify customer support emails into three categories: 'Urgent Technical Issue', 'Billing Inquiry', and 'General Feedback'. The team lead suggests deploying their existing next-word prediction model directly for this classification task without any modifications, believing its strong general language capabilities will be sufficient. Evaluate the team lead's suggestion. Is this approach likely to succeed? Justify your reasoning based on how the model was originally trained.