This has structural implications for IP, the workforce and value realisation that are moving faster than industry dialogue and policy.
While adoption is uneven and often undisclosed, AI has the potential to compress development timelines, merge stages of the value chain and create new forms of content at scale. Its use raises significant unresolved questions around IP ownership, copyright protection, workforce displacement and the use of creative works to train models. The underlying tensions between creative opportunity, IP protection, workforce sustainability and commercial exploitation are structural and will require ongoing policy attention as AI and its applications continue to evolve.