Depression is a common illness that affects over three hundred million people around the world per year. Depression affects mood, causing people with it to suffer from low motivation, sleep hygiene, and productivity at work/home, and through almost every aspect of their life. Individuals with depression experience sad and empty moods for many days and weeks in a row. They feel hopeless and tend to have thoughts related to hurting themselves. If not treated, depression can become a serious health condition, leading to possible adverse outcomes like suicide. Suicide takes more than seven hundred thousand lives per year. Although treatments for depression exist, most sufferings do not have access to them due to affordability, lack of professional health providers diagnosing, and the social stigma associated with mental disorders. Due to these challenges, an alternative treatment plan involving artificial intelligence (AI) has been developed, attempting to overcome depression and its symptoms. Recent studies have shown that certain computer-assisted therapy and conversational chat boxes can provide another treatment option for individuals suffering from depressive illness. This AI option supplies suffering persons with a more reasonable, reachable, and cost-effective solution. Another possible role AI could take on regarding depression includes detecting signs of the illness itself. AI can do this by interpreting data from social media and other platforms. The AI could potentially aid trained health professionals to make a targeted diagnosis of the illness. With depression affecting so many throughout the world, this testing and discovery of AI within the medical field could lead to more healing and prevent poor outcomes of depression like suicide. The role and effects of AI on depression are the subjects of the current section of this study.