  The evolution of generative artificial intelligence (GenAI) constitutes a
turning point in reshaping the future of technology in different aspects.
Wireless networks in particular, with the blooming of self-evolving networks,
represent a rich field for exploiting GenAI and reaping several benefits that
can fundamentally change the way how wireless networks are designed and
operated nowadays. To be specific, large GenAI models are envisioned to open up
a new era of autonomous wireless networks, in which multi-modal GenAI models
trained over various Telecom data, can be fine-tuned to perform several
downstream tasks, eliminating the need for building and training dedicated AI
models for each specific task and paving the way for the realization of
artificial general intelligence (AGI)-empowered wireless networks. In this
article, we aim to unfold the opportunities that can be reaped from integrating
large GenAI models into the Telecom domain. In particular, we first highlight
the applications of large GenAI models in future wireless networks, defining
potential use-cases and revealing insights on the associated theoretical and
practical challenges. Furthermore, we unveil how 6G can open up new
opportunities through connecting multiple on-device large GenAI models, and
hence, paves the way to the collective intelligence paradigm. Finally, we put a
forward-looking vision on how large GenAI models will be the key to realize
self-evolving networks.
