Executive summary

We are still at the early stages of another big shift in technology (Generative AI) which threatens to upend the news industry by offering more efficient ways of accessing and distilling information at scale. At the same time, creators and influencers (humans) are driving a shift towards personality-led news, at the expense of media institutions that can often feel less relevant, less interesting, and less authentic. In 2026 the news media are likely to be further squeezed by these two powerful forces.

Understanding the impact of these trends, and working out how to combat them, will be high up the ‘to do list’ of media executives this year, despite the unevenly distributed pace of change across countries and demographics.

Existential challenges abound. Declining engagement for traditional media combined with low trust is leading many politicians, businessmen, and celebrities to conclude that they can bypass the media entirely, giving interviews instead to sympathetic podcasters or YouTubers. This Trump 2.0 playbook – now widely copied around the world – often comes bundled with a barrage of intimidating legal threats against publishers and continuing attempts to undermine trust by branding independent media and individual journalists as ‘fake news’. These narratives are finding fertile ground with audiences – especially younger ones – that prefer the convenience of accessing news from platforms, and have weaker connections with traditional news brands. Meanwhile search engines are turning into AI-driven answer engines, where content is surfaced in chat windows, raising fears that referral traffic for publishers could dry up, undermining existing and future business models.

Despite these difficulties many traditional news organisations remain optimistic about their own business – if not about journalism itself. Publishers will be focused this year on re-engineering their businesses for the age of AI, with more distinctive content and a more human face. They will also be looking beyond the article, investing more in multiple formats especially video and adjusting their content to make it more ‘liquid’ and therefore easier to reformat and personalise. At the same time, they’ll be continuing to work out how best to use Generative AI themselves across newsgathering, packaging, and distribution. It’s a delicate balancing act but one that – if they can pull it off – holds out the promise of greater efficiency and more relevant and engaging journalism.

–Credit Reuters Institute