The use of AI voices with accents is rapidly increasing in various applications, including voice assistants, audiobooks, and video games. The generation of AI voices with accents can be achieved through pre-built AI voices with accent options or by cloning a voice with a specific accent using next-generation text-to-speech systems that can create high-quality voices with a variety of accents from prompts. Several TTS tools offer accent generation capabilities, including Play.ht, Murf.ai, Respeecher, Wavel.ai, and Speechify, which provide various features for customizing voices and generating different accents. However, challenges remain in accurately capturing the nuances of accents, conveying emotions effectively, and avoiding biases. Despite these challenges, AI voices with accents are being used in a growing number of applications to create more engaging, inclusive, and authentic experiences for users. As AI voice technology continues to advance, it is crucial to use this technology responsibly and ethically, considering the potential impact on cultural sensitivity, authenticity, bias, and misuse.