It is becoming one of the most important questions facing the media and entertainment industry.

For decades, the commercial value of film, television, music, publishing, and other creative industries has depended heavily on intellectual property. Copyright gives creators and rights holders the ability to control how their work is reproduced, distributed, licensed, and ultimately monetised.

Generative AI is beginning to challenge some of the assumptions behind that system.

AI developers need enormous quantities of data to train increasingly sophisticated models. Much of the debate now centres on what happens when that data includes copyrighted music, films, books, journalism, photography, or other professionally created material.

Should technology companies need permission before copyrighted works are used for AI training?

Should creators have the ability to opt out?

And if an AI-generated work is heavily influenced by existing creative material, where should the boundaries of ownership sit?

These aren't simply technology questions. They are becoming fundamental commercial questions for media companies, streaming platforms, publishers, studios, musicians, writers, and other rights holders.

The challenge for media and entertainment law will be finding a framework that allows technological innovation to continue while ensuring that the economic value of original creative work is protected.

Get that balance wrong, and there is a risk of weakening the incentives that support creative industries.

Get it right, and AI could become another powerful tool for creators rather than something they are forced to compete against.

The next few years could fundamentally reshape how we think about copyright, licensing, ownership, and the value of creativity in the digital economy.