The Erosion of Authenticity in Recommendations

The process of writing recommendation letters has become diluted due to the advent of AI tools that simplify and automate the work. Previously, professors were selective in their endorsements, making these letters highly valued due to their careful consideration. Now, with the ease of generating AI recommendations based on minimal information, the unique significance and personal touch of each letter is lost. This over-reliance on automation leads to an influx of generic recommendations, undermining the integrity of the system and reducing the inherent value of such endorsements.