Netflix’s deal to carry TF1 channels and on-demand content in France indicates that it is now interested in becoming an aggregator—its scale and reach make it attractive but terms will not suit everyone 

This reach should be advantageous for TF1, giving the company access to viewers that currently are not regularly exposed to its programming, while also boosting frequency

For FTA operators this deal highlights a possible template to maintain some stability in reach, with less of the uncertainty of content distribution on YouTube 

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Trump II is already proving to be a more serious threat to an independent, robust news media than Trump I.

Trump’s direct power around news media is limited, but the threat comes from an unprecedented politicisation of federal regulators, enforcement and procurement—to favour friends and punish enemies.

Opposition to Trump II is weaker and more divided than the broad ‘resistance’ to Trump I. Big tech companies are going for a close embrace, hoping to steer policy to their advantage—while others bend the knee to avoid punishment.

Use of publisher content to train AI models is hotly contested. Unacknowledged scraping, licensing deals, and lawsuits all characterise the publisher-AI company relationship.

However, model training is not the whole story. More and more products rely on up-to-date access to content, and some are direct competitors to publisher offerings.

Publishers can’t depend on copyright to deliver them the value of their IP. They need to track which products are catching on with users for licensing deals to make sense for them, and to ensure their own products keep up with the competition.