  Objective: Information retrieval (IR, also known as search) systems are
ubiquitous in modern times. How does the emergence of generative artificial
intelligence (AI), based on large language models (LLMs), fit into the IR
process? Process: This perspective explores the use of generative AI in the
context of the motivations, considerations, and outcomes of the IR process with
a focus on the academic use of such systems. Conclusions: There are many
information needs, from simple to complex, that motivate use of IR. Users of
such systems, particularly academics, have concerns for authoritativeness,
timeliness, and contextualization of search. While LLMs may provide
functionality that aids the IR process, the continued need for search systems,
and research into their improvement, remains essential.
