This paper explores how the design of everyday interactions with artificial intelligence in work systems relates to broader issues of interest to social scientists and ethicists: namely human well-being and social inequality. The paper uses experience designing human interactions with highly automated systems as a lens for looking at the social implications of work design, and argues that what human and automation each do is less important than how human and automation are structured to interact. The Human-Autonomy Teaming (HAT) paradigm, explored in the paper, has been a promising alternative way to think about human interactions with automation in our laboratory's research and development work. We argue that the notion of teaming is particularly useful in that it encourages designers to consider human well-being as central to the operational success of the overall human-machine system that is being designed.