Innovation – the search for novel ideas and decision alternatives – is a key concern for organizations that seek to adapt to changing environments. This talk will address how organization design can shape organizational search and adaptation. Organization design is concerned with the structures, processes, and systems that help aggregate the actions of individuals towards the organization’s goals. Work on the role of organization design for search and adaptation was sparked by scholars conceptualizing organizations as complex adaptive systems and adopting models from complexity science and machine learning to trace the organization-level outcomes of lower-level actions. In my talk, I will focus particularly on how the design of organizational control systems – choices regarding goal setting, resource allocations, and performance feedback – can guide organizational search and adaptation. I will conclude with some thoughts on how recent developments within artificial intelligence may lead to novel research opportunities in this domain.