The quicksort algorithm is often more efficient in practice, despite having a worst-case time complexity of O(n²). This is because quicksort has an average-case time complexity of O(n log n), which means it performs well on average for most inputs. Additionally, quicksort is a divide-and-conquer algorithm that can be implemented in a way that minimizes the likelihood of reaching the worst-case time complexity. In contrast, algorithms with a worst-case time complexity of O(n²) such as bubble sort or insertion sort may not perform as well in practice for larger inputs.