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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.

Bleak prospects for digital advertising leave no choice to news publishers but to generate revenue from readers, and the lack of widespread frictionless micropayment options means there is no alternative to subscription — the vast majority of western ‘quality’ newspapers have rolled out paywalls; meters and registrations are the most promising approaches

Recent politics have increased demand for quality journalism and readiness to pay. Despite clumsy commercial models the rise in subscriber numbers is encouraging, but current price points may be too low for a sustainable digital transition. Churn is high, publishers have yet to fully develop and optimise ecommerce

The transition to an audience-centric model is a shift away from click bait, with distinctiveness, curation and news agenda hierarchy among the most important factors. Leveraging data to optimise audience engagement remains challenging