The film industry has evolved in the past decade with the emergence of big data, allowing film production companies to predict box-office success for their upcoming releases. However, it’s crucial to question whether these data-driven methods are inclusive and equitable. For instance, the #OscarsSoWhite campaign highlighted the disparities in awards and recognition across different populations. The predictive models being used may replicate existing biases. Therefore, while this is a significant improvement from the earlier methods such as focus groups and analyzing box office receipts, problems remain The incorporation of social media and other new data sources has revolutionized the industry, allowing for more in-depth analysis and prediction of the success of upcoming films. Companies can use this data to analyze their marketing campaigns and audience response, leading to more informed decisions about advertising, delaying, or even canceling a film. However, as the industry leans more into data-driven decision-making, it’s essential to ensure that these methods don’t perpetuate existing inequalities or overlook diverse talents and stories. Additionally, big data can be used to its full extent through the numerous ways in which it can be used throughout the entirety of the American Film Industry. The film industry has taken a big step forward, thanks to big data and its potential for further advancements in predicting box-office success, but it must also take steps to ensure that this progress is inclusive and equitable.