When was the last time you scrolled through a 10-slide carousel post? Thinking hard? You’re not the only one. Today, audiences have the attention span of a TikTok scroll. Static content? It barely gets a glance before the reader’s off to the next shiny thing in their feed. You could pour your soul into a brilliantly written piece, but if it doesn’t do something, your readers won’t either. Here’s the thing: we’re not in a read-only world anymore. We’re in the age of swipes, taps, clicks, and scrolls. Content isn’t just about storytelling, it’s about story-doing. That’s where interactive content…

AI content innovation for publishers isn’t just a trend—it’s the edge media businesses need to scale smarter, engage readers, and thrive financially. The digital publishing market, valued at $204.83 billion in 2024, was projected to nearly double by 2032. Yet despite the boom, many publishers are stuck in survival mode. Margins are thinner, competition is fiercer, and reader loyalty is harder to earn, and even harder to keep. That’s where Bridged Media steps in. Bridged’s AI agents are a new way to operate. Purpose-built for publishers, these agents solve real-world pain points without adding complexity. Whether you’re trying to create…

Imagine a world where machines not only crunch numbers but also think, learn, and create alongside us. This isn’t science fiction; it’s the reality we’re stepping into with AI agents. These digital dynamos are reshaping business operations and decision-making, all while managing content creation using AI.  Let’s learn what AI agents can do. From Humble Beginnings to Autonomous Marvels The journey of AI has been nothing short of extraordinary. Remember those clunky chatbots that could barely understand a simple question? That was just the beginning. We’ve come a long way from the early days of Machine-Learning (ML), where computers were…

Media industries are undergoing a seismic shift thanks to Artificial Intelligence (AI).  Artificial Intelligence (AI) is revolutionising the way media companies approach content monetisation. Intensified competition and audience fragmentation increasingly challenge traditional revenue models—such as advertising placements, subscription services, and content licensing. As a result, media companies are compelled to seek out innovative monetisation strategies driven by AI-based content generation. By leveraging AI, these companies can unlock new revenue generation opportunities, enhance audience engagement, and tailor their offerings to meet consumers’ evolving preferences.  AI is transforming key areas such as content creation, user engagement, and workflow automation, while AI-driven advertising…

The media industry is trying its best to adopt AI, with 80% of companies intending to invest in AI in the immediate term. But how do you implement an AI strategy for media companies effectively, avoiding risks and huge investments? Reportedly the biggest blocker to adopting AI is lack of strategy, with 57% calling it out according to a Financial Times publishers survey.  In this blog, we look at why AI strategy is such a sticking point, and how you can kickstart your strategy with Bridged Media’s simple 3-step process. (Plus, a tip on how to begin your AI journey…

Depending on how it’s adopted, AI could transform newsrooms—or hollow them out. After discussions with many executives in publishing in companies such as Axel Springer, FT, World Media Group, and many more, I explore the best and worst-case outcomes for publishers navigating the AI landscape, examining potential revenue models, organisational changes, and the broader implications for the industry. Best Case: Publishers Leverage AI for Enhanced Value and Experience Revenue Models: In the best-case scenario, publishers harness AI to create more engaging, personalised, and diverse content for their audience. AI-driven analytics can enable publishers to understand reader preferences more deeply, tailoring…

AI in the media industry is no longer a future trend—it’s a present reality shaping winners and losers across digital publishing. But how are media companies responding to this disruptive force? And with the transformative nature of this mediatech, which companies will sink and which will swim?  Some news websites are resisting AI’s encroachment on their traditional business models, like The New York Times which is famously suing OpenAI for copyright infringement. Others are embracing AI, such as German publisher Axel Springer which has partnered with the same AI company. But among the Generative AI noise, some powerful AI use…

Email subscriptions are the lifeblood of media companies – they enable direct communication with readers, build loyalty and attract vital revenue. So, why are many news websites still using outdated email collection tools? 

For media and digital publishing companies, there are two main ways to attract revenue: from advertisers and from readers. This time, we want to focus on reader revenue and how your media company can convert casual readers to paying customers. Many news websites find that the old strategies for driving reader revenue no longer work. Even that exemplar of digital-first news, guardian.com, recently reported a £3 million, or 4%, shortfall in digital reader revenue.  Today, the winners are those embracing new technologies—like propensity modelling—to capture reader revenue and gain the competitive advantage. The challenge of reader revenue strategies  When it…

You’re a digital publisher or media company and these questions keep bugging you. Are visitors spending enough time onsite? How can you get them to dwell longer? Are they finding content which feels relevant to them? Are they taking the right actions, both for them and for you?  The answer to these questions comes from analysing the customer experience journey – then personalising it. Content personalisation in publishing is no longer optional. Customising content within a reader’s journey makes them feel more connected with your brand, and most importantly it means they’ll not only give you their data, but also…

Media businesses know AI will save them time and money, but when it comes to implementing projects and technologies they stumble. They understand why – but not how. The trouble is this: we’re bombarded with noise about AI as a world-changing concept, and about the need to develop a long-term AI strategy. But there is work to be done today and we need to deliver for our day-to-day business. The answer to this tension is focusing on AI tools for media which give tangible results and happen to be powered by AI. It probably sounds counterintuitive for an AI expert…