  Wireless spectrum regulation is a complex and demanding process due to the
rapid pace of technological progress, increasing demand for spectrum, and a
multitude of stakeholders with potentially conflicting interests, alongside
significant economic implications. To navigate this, regulators must engage
effectively with all parties, keep pace with global technology trends, conduct
technical evaluations, issue licenses in a timely manner, and comply with
various legal and policy frameworks.
  In light of these challenges, this paper demonstrates example applications of
Large Language Models (LLMs) to expedite spectrum regulatory processes. We
explore various roles that LLMs can play in this context while identifying some
of the challenges to address. The paper also offers practical case studies and
insights, with appropriate experiments, highlighting the transformative
potential of LLMs in spectrum management.
