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Abstract The “cloud lab,” an automated laboratory that allows researchers to program and conduct physical experiments remotely, represents a paradigm shift in scientific practice. This shift from wet‐lab research as a primarily manual enterprise to one more akin to programming bears incredible promise by democratizing a completely new level of automation and its advantages to the scientific community. Moreover, they provide a foundation on which automated science driven by artificial intelligence (A.I.) can be built upon and thereby resolve limitations in scope and accessibility that current systems face. With a focus on DNA nanotechnology, the authors have had the opportunity to explore and apply the cloud lab to active research. This perspective delves into the future potential of cloud labs in accelerating scientific research and broadening access to automation. The challenges associated with the technology in its current state are further explored, including difficulties in experimental troubleshooting, the limited applicability of its parallelization in an academic setting, as well as the potential reduction in experimental flexibility associated with the approach.