Topic Classification for Social Media Posts

Imagine you're working at a social media platform. Your task is to develop a system that can automatically identify the topic of new posts. Thousands of posts are generated every hour, in addition to the vast number of existing posts on the site. How would you design a machine learning model to categorize posts by topic, considering the extensive scale of the data?