It’s no surprise that investment in AI tools and platforms is a major priority for media companies. Recent research from the Reuters Institute found that investing in platforms such as OpenAI and Perplexity is the leading priority for industry leaders in the year ahead. Meanwhile, WAN-IFRA’s annual World Press Trends study highlighted this as an area of both improving relationships and continued investment.
These moves are driven by a combination of factors such as fear of missing out and falling behind as Generative AI continues to evolve. Companies also want to have the ability to use these technologies for a range of benefits including efficiencies and the development of new products.
The opening months of 2025 have witnessed the continued integration of AI into workflows and further developments that promise to yield a range of benefits for content creators.
Here are four noteworthy AI trends and how media executives should be thinking about the emerging opportunities they present.
1. Conversational AI enhances connections
Both audio and text-based conversational AI are gaining traction. According to the Reuters Institute, harnessing AI to turn text into audio is the top audience-facing AI application for media leaders in the year ahead. These moves are driven by “advances in voice technologies [that] have made it possible to transform text articles into audio (in multiple languages or tones).”
Moreover, as noted by ElevenLabs, an AI Audio research and deployment company that works with publishers such as Time, “the shift to AI-driven audio isn’t just about convenience — it’s about survival in a landscape where audiences increasingly prefer to listen rather than read.” (NB: their italics.) This trend is evidenced at outlets such as The Washington Post which saw daily audio listens double in the first six months of last year.
And as these AI tools get cheaper, more accessible, and sound increasingly more human, AI-powered consumer experiences will become more mainstream across the media landscape. That includes local – as well as national and international – media outlets.
Alongside these audio formats, AI-driven chatbots are also becoming more prominent.
Although there are legitimate concerns about the accuracy of news summaries provided by these tools, the way in which they access content from sites that have blocked their crawlers, coupled with a frequent inability to cite sources or provide referral traffic, these products are becoming more prevalent. This week, for example, saw The Straits Times in Singapore launch a chatbot that answers questions from readers on career-related topics, drawing on an archive of 5,000 stories published on this topic since 2020.
Sensing the opportunity, businesses like Tars offer a chatbot specifically designed for news organizations. Its functionality allows audiences to interact with news stories in a conversational format, ask follow-up questions, rate articles, and access related visual content.
Meanwhile, several major media providers have signed deals to provide content for AI chatbots owned by some of Silicon Valley’s biggest players. Late last year, Meta revealed it would use content from Reuters to answer user questions in its chatbot about the news and current events. More recently, AP inked a similar deal with Google, which will see news from the Associated Press featured in the tech company’s Gemini app.
Takeaway
As user needs and preferences continue to evolve, media companies must respond accordingly. Delivery of content via voice and chatbots, may become more mainstream, given the growing demand for more informal and conversational interactions with content. Catering for these audiences will become further engrained in media distribution strategies.
2. The return of content at scale
AI-assisted content creation is not a new phenomenon. However, it is creating an opportunity for some media outlets to turn back the clock to the era when scale was seen as king.
Patch, the local news provider that was acquired by AOL in 2009 (and offloaded in 2014) has used AI newsletters to expand Patch’s reach over the past few months from 1,100 U.S. communities to 30,000. As Axios explains, these newsletters feature five stories from Patch sites along with material aggregated from other online sources.
Despite its use of AI to scale, Patch purportedly has 85 full time newsroom employees. However, Nieman Lab reported in January how a company producing AI-generated newsletters in 47 states and 355 towns and cities across the U.S. appeared to be operated by a single person.
These examples demonstrate the ease with which AI can help curate content at scale.
Although these efforts can curate content to consolidate coverage, they don’t deliver original journalism. Moreover, it can be difficult to check the veracity and accuracy of content produced at this volume.
Questions around accuracy and the absence of fresh reporting were similarly leveled at the Italian conservative newspaper Il Foglio, which recently published a four-page edition produced entirely by AI. “The articles were structured, straightforward and clear, with no obvious grammatical errors,” the Guardian notes. “However, none of the articles published in the news pages directly quote any human beings.”
These examples may make some media leaders, and audiences, uncomfortable. Nevertheless, they can be viewed as an extension of some of the ways AI technologies are already being used.
AP has been using AI to produce stories based on earning reports for over a decade, dramatically increasing the number of stories it produces in this arena as a result. At the same time, Gannett publications in the Boston area have begun harnessing a generative AI tool called Espresso to draft articles from community announcements and press releases.
Similarly, Semafor has revealed how The New York Times is exploring using AI tools to assist with SEO, research, headline writing, content for social media and other purposes. This can speed up the production process, potentially creating time for employees to produce more in-depth and creative content, as well as increasing the volume of output.
Takeaway
The use of AI to automate routine tasks has long been cited as a benefit of these tools. Advocates argue AI will enable staff to focus on original and deeper work. However, there is a risk that these technologies will have the opposite effect, encouraging creators to publish more content, much of it low quality “AI slop.” The need for originality and distinctiveness will be the differentiator for most players in an AI-driven world. While some providers can use AI to scale their output, doing so while maintaining quality, distinctiveness and value isn’t always easy or an approach that will work for everyone.
Discussions around AI often focus on efficiencies, the ability to streamline workflows, or harness these tools to create new products. This can certainly be true. Last month, political news outlet Politico launched their Policy Intelligence Assistant — a new AI-powered tool enabling Politico Pro subscribers to generate in-depth policy reports using the company’s proprietary reporting and analysis.
However, at the same time, AI can also be used to ensure that content is able to reach wider, more diverse, audiences.
Publishers are already using AI to help with translation. But the benefits can go well beyond that. Speech-to-Text tools can generate captions for live broadcasts, webinars, and events, making the information more accessible. Similarly, these technologies – augmented by human input – can aid with audio description, the creation of ALT text, and personalization. This can represent a business opportunity that expands reach and potentially fosters greater audience loyalty.
In Austria, the APA (Austria Press Agency) is developing an AI tool to generate alternative text for infographics. The goal is to help visually impaired users better access data-driven journalism.
Chitranshu Tewari, the Director of Product and Revenue at Newslaundry in India, argues that “AI-driven accessibility isn’t only better product design but also good business.” Reflecting on their own experiences, he comments that “our accessibility efforts didn’t just make our platform more inclusive — they also attracted new paying subscribers.”
Takeaway
AI can do more than help media companies tick compliance boxes. By making content more user-friendly there are opportunities to better serve all audiences, especially those that have historically been underserved or overlooked. AI can help to embed inclusive design principles, while at the same time making access to your products more equitable and valuable.
As AI becomes more deeply integrated into content production and consumption, media leaders must continue to understand – and address – attitudes towards these technologies among consumers.
Research demonstrates that public sentiment towards AI in the production of content, such as journalism, varies widely. “On the whole, people are generally positive about journalists’ ability to use technology for professional purposes,” says the Center for News, Technology & Innovation. Nevertheless, attitudes are often shaped by users’ personal experiences and knowledge of these technologies.
This divergence in public opinion reaffirms the need for transparency about the usage of AI technologies. That can be particularly true in the creation of news content.
Takeaway
In an age of low levels of trust in mainstream media, disclosure and the presence of clear – publicly available – guidelines around how AI is being deployed, is important. Media companies should be upfront about when and how AI is involved in content creation, as well as the potential limitations inherent within these technologies. For example, do audiences understand how answers generated by your AI chatbot are produced? If they don’t, arguably they should.
Putting the AI pieces together
AI is already a transformative force that is reshaping the media industry. It is redefining workflows, as well as how content is produced, distributed, and consumed.
As we’ve seen, some of the trends in this space have only accelerated in the first part of 2025, although they are often underpinned by core principles which have always made good, strategic, sense. These changes touch on the core of what great content looks like: how those stories are made, where – and how – they are consumed, and what trust looks like in an increasingly AI-driven world.
Chief among these, media companies must continue to meet audiences where they are. In 2025, this is increasingly in conversational online environments. Whether it is via voice or chat, AI can be used to create experiences that feel more informal, responsive, and interactive.
At the same time, even though AI enables publishers to automate routine tasks, freeing up some staff time in the process, outlets should avoid the temptation to flood platforms with more material. In an era of abundance, content isn’t a numbers game. Originality and distinctiveness will determine which providers survive and thrive.
AI’s role in the origination of creative work also needs to be effectively communicated. Audiences want, and deserve, transparency, ethical clarity, and the knowledge that there is still human and editorial oversight of the content they consume.
And lastly, in doing all of this, it is incumbent on media players to integrate inclusive design into everything they do. This approach isn’t just important from an ethical or compliance standpoint, it can also be commercially beneficial, with AI potentially making this easier to do than ever before.
The strategic use of AI tools and technologies offers media companies considerable opportunities, but leaders also have to recognize that there are also inherent risks too. This includes resisting the urge to use AI simply to do more. Rather, the focus for folks in the C-Suite must be to do better: creating enhanced opportunities for engagement and doing so in a way that is transparent and where accuracy and quality remain paramount.
The next chapter of AI in the media business is being written now. It’s up to all of us to ensure it’s one worth consuming.
Archive
