The editorial discusses the impact of artificial intelligence (AI) on inequality and public health. James Maniyka highlights that AI is already deeply integrated into daily life, from recommendation systems to facial recognition. The term "AI" is complex and can be misleading, as it often refers to a wide range of technologies. AI's potential to address issues like poverty and climate change is significant, but it also faces challenges, particularly in reproducing societal biases and inequalities. Research indicates that AI models trained on biased data can lead to unfair outcomes, such as discriminatory decisions in healthcare and public policy. Despite these concerns, AI has the potential to improve public health by leveraging large datasets and iterative algorithms to develop more targeted and effective policies. However, trust, education, and collaboration between public health professionals and AI researchers are crucial for ensuring AI's responsible use. The editorial emphasizes the need for a global strategy to address the dual challenges of AI's impact on inequality and climate change, highlighting the importance of considering the unique considerations for public health in the development and application of AI technologies.The editorial discusses the impact of artificial intelligence (AI) on inequality and public health. James Maniyka highlights that AI is already deeply integrated into daily life, from recommendation systems to facial recognition. The term "AI" is complex and can be misleading, as it often refers to a wide range of technologies. AI's potential to address issues like poverty and climate change is significant, but it also faces challenges, particularly in reproducing societal biases and inequalities. Research indicates that AI models trained on biased data can lead to unfair outcomes, such as discriminatory decisions in healthcare and public policy. Despite these concerns, AI has the potential to improve public health by leveraging large datasets and iterative algorithms to develop more targeted and effective policies. However, trust, education, and collaboration between public health professionals and AI researchers are crucial for ensuring AI's responsible use. The editorial emphasizes the need for a global strategy to address the dual challenges of AI's impact on inequality and climate change, highlighting the importance of considering the unique considerations for public health in the development and application of AI technologies.