From a sector perspective, how is AI reshaping the economics of video production, and what are the broader retention and monetization implications of these hyper-personalized content loops?

We are seeing disruption hit both the supply and the demand side of media.

And if you look at the production side, what we see is that AI is drastically lowering the cost and timeline, especially of video creation.

In studios and newsrooms, we're seeing what you could call a centaur model emerge, where half man, half machine work on research, rendering and automated editing.

And it frees creators to focus on the really high-level storytelling, but it also lowers the barrier to entry so drastically that the sheer volume of video output and other types of output is exploding.

So to give you a sense of the scale of this, this week alone, Spotify removed 75 million AI-generated songs from its platform.

What's remarkable in media production is that because of AI, the friction between an initial idea and its final realization is more or less disappearing.

From an institutional perspective, does this framework adequately address the structural risks facing democratic information ecosystems, or are there still underlying economic blind spots?