Tag: #harvard

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Nieman Lab Prediction 2026: Editors will start tackling the 5% challenge – and it won’t be fun (at first)

The advances of generative AI have put those in charge of newsrooms on an emotional rollercoaster. While 2023 and 2024 were the years of reckless experimentation (“Hey, look what these models can do!”), in 2025, AI realism took over. Great ideas turned out to be hard to implement, costly, or solutions looking for problems (“Nice, but it’s not serving anyone!”). Putting strategy back into AI development became key.

This is why 2026 is likely to become the dip of the ride. Because now, the strategy needs to be filled with life. And while editors at media conferences widely agree that AI will force newsrooms to focus on unique, original journalism and experiences that create value for their audiences and deepen customer connections, some detailed data analysis will make many of them feel queasy. Because the result will often be not that different from what an editor recently revealed at an industry gathering: Only 5% of a subset of his brand’s content was original journalism. The subtext was clear, of course: The rest could have been done by an AI. Welcome to the 5% challenge.

Expect many newsroom leaders to become busy next year figuring out what exactly makes their brand stand out in the emerging sea of content. And even harder: finding a way to scale the 5% (or maybe 20%) to proportions that guarantee their journalism’s survival. Because let’s face it, the era of the web has been the age of copy-and-paste journalism. And this is exactly what (once) younger journalists have been raised to do in the past 20 years or so. Sitting behind the screen all day and competing for reach was the job. The word “reporting” — picking up stories from the streets by looking at things and talking to people, face-to-face or on the phone — was converted into the phrase “reporting on the ground,” which sounded as if leaving the comfort of the office was an award-worthy niche discipline.

For leaders, doing all of this will involve conveying some hard truths to many newsroom inhabitants: telling them that their daily work has to change — and fast. Converting agency copy into a snappy story — the AI has already done it. Doing some service journalism because customers safely clicked on it — the chatbot will have been there already. Upselling subscriptions with branded recipes — maybe, as long as ChatGPT still spoils the dish with hallucinations. Unfortunately, “stop doing” is among the hardest disciplines for any kind of enterprise. Because other than running exciting experiments and excelling in the innovation department, stopping routines and common practices is neither sexy nor does it bring about career advantages. To the contrary, it means robbing people of things they love to do, or are at least proficient in. And it takes away the status and power that was attached to practicing them. Speaking of rollercoasters, there will be some uncomfortable circles at the bottom of this.

There are four areas where media brands can scale the human-made part of their journalism

But here comes the uplifting part: Focusing one’s journalism on “the real thing” (again) will be fun — for seasoned hacks and creator-type newcomers alike. And it can also help bridge the newsroom generation gap. While younger colleagues can learn from the more experienced ones research and source-building skills for access and investigations (including persistence and picking up a phone), older ones will profit from everything that the Insta-and-Spotify generation can bring to the desk, like video, podcasting, data research, and brand-building competencies.

There are four areas in particular where media brands can scale the human-made part of their journalism: First, with strong personal brands who will play out their authenticity and humanness to connect with audiences (plenty has been published about news creators in 2025). Second, with deep expertise in niche areas that AI-generated content cannot provide because it is prone to converge around the average. Third, with investigations that make news consumers proud of “their” news brand. And fourth, with strong local journalism that is deeply rooted in its communities — in most cases, AI won’t go there. Creators who understand their formats and their stuff can figure in all of these areas, of course.

The sizable rest can safely be left to the workings of AI, where agents will do a much faster, more targeted, and personalized job than humans could have done, provided humans do the necessary prep work for accuracy. Markus Franz, chief technology officer of Munich-based Ippen Group, predicts that with agentic AI, the current “human in the loop” principle will be replaced with a “human on the loop” approach in the future that helps with scalability.

In all of these scenarios, journalism jobs will move into two quite different directions. One set of roles will lean toward the more techie side. They will need to shape the new AI-mediated world of journalism, ensure scalability that adheres to the quality standards of journalism, and build compelling products for customers that make them connect directly with the brand. On the other side, we will see the new “old-style” journalists who do everything to solicit exclusive information and/or establish themselves as personal brands. Talent will most likely have to pick sides early on, and it is essential that journalism education reflects and fosters this. As soon as everyone has settled into their new seats, the rollercoaster can go on its next climb.

This prediction was published with Harvard University’s Nieman Lab on December 16, 2025.

 

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Nieman Lab Prediction 2024: Everyone in the Newsroom Gets Training

Up to now, the world’s newsrooms have been populated by roughly two phenotypes. On the one hand, there have been the content people (many of whom would never call their journalism “content,” of course). These include seasoned reporters, investigators, or commentators who spend their time deep diving into subjects, research, analysis, and cultivating sources and usually don’t want to be bothered by “the rest.”

On the other hand, there has been “the rest.” These are the people who understand formats, channel management, metrics, editing, products, and audiences, and are ever on the lookout for new trends to help the content people’s journalism thrive and sell. But with the advent of generative AI, taking refuge in the old and surprisingly stable world of traditional journalism roles will not be an option any longer. Everyone in the newsroom has to understand how large language models work and how to use them — and then actually use them. This is why 2024 will be the year when media organizations will get serious about education and training.

“We have to bridge the digital divide in our newsrooms,” says Anne Lagercrantz, vice CEO of Swedish public broadcaster SVT. This requires educating and training all staff, even those who until now have shied away from observing what is new in the industry. While in the past it was perfectly acceptable for, say, an investigative reporter not to know the first thing about SEO, TikTok algorithms, or newsletter open rates, now everyone involved with content needs to be aware of the capabilities, deficiencies, and mechanics of large language models, reliable fact-checking tools, and the legal and ethical responsibilities that come with their use. Additionally, AI has all the potential to transform good researchers and reporters into outstanding ones, serving as powerful extensions to the human brain. Research from Harvard Business School suggested that consultants who extensively used AI finished their tasks about 25% faster and outperformed their peers by 40% in quality. It will be in the interest of everyone, individuals and their employers, that no one falls behind.

But making newsrooms fit for these new challenges will be demanding. First, training requires resources and time. But leadership might be reluctant to free up both or tempted to invest in flashy new tools instead. Many managers still fall short of understanding that digital transformation is more a cultural challenge than it is a tech challenge.

Second, training needs trainers who understand their stuff. These are rare finds at a time when AI is evolving as rapidly as it is over-hyped. You will see plenty of consultants out there, of course. But it will be hard to tell those who really know things from those who just pretend in order to get a share of the pie. Be wary when someone flashes something like the ten must-have tools in AI, warns Charlie Beckett, founder of the JournalismAI project at the London School of Economics. Third, training can be a futile exercise when it is not paired with doing. With AI in particular, the goal should be to implement a culture of experimentation, collaboration, and transparency rather than making it some mechanical exercise. Technological advances will come much faster than the most proficient trainer could ever foresee.

Establishing a learning culture around the newsroom should therefore be a worthwhile goal for 2024 and an investment that will pay off in other areas as well. Anyone who is infected with the spirit of testing and learning will likely stretch their minds in areas other than AI, from product development to climate journalism. So many of today’s challenges for newsrooms require constant adaptation, working with data, and building connections with audiences who are more demanding, volatile, and impatient than they used to be. It is important that every journalist embraces at least some responsibility for the impact of their journalism.

It is also time that those editorial innovators who tend to run into each other at the same conferences open their circles to include all of the newsroom. Some might discover that a few of their older colleagues of the content-creator-phenotype could teach them a thing or two as well — for example, how to properly use a telephone. In an age when artificial fabrication of text, voice, or image documents is predicted to evolve at a rapid pace, the comeback of old-style research methods and verification techniques might become a thing. But let’s leave this as a prediction for 2025.

This post was published in Harvard’s Nieman Lab’s Journalism Predictions 2024 series on 7th December 2023.  

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Beyond the headline race: How the media must lead in a polarized world

When US Supreme Court Justice Ruth Bader Ginsburg succumbed to cancer recently, the headline race was on once again. Instead of pausing for a moment to honor a great personality for her leadership and stamina in the quest for justice, most of the news media didn’t miss a beat. Who would President Donald Trump nominate as her successor, and how would that reshape American society? Reporting instantly took second place to speculation and opinion, drowning out the announcement of the 87-year-old’s death in a sea of noise.

The predominant frame for interpreting today’s world is winning and losing, and the media has bought right into it. Being faster, smarter, delivering yet another interpretation, speculation and judgement – a certain breathlessness has always been inherent in journalism. But in pre-digital times, news media only competed against each other. The difference now is that they are up against everything an average smartphone holds. The battle for attention shapes their very existence. And readers are responding by leaving in droves. According to the Reuters Institute’s Digital News Report, one in three people now regularly avoids the news. A rising share of audiences find journalism too overwhelming, too negative, too opinionated with too little relevance for their daily lives. And they believe it can’t always be trusted.

This is bad news – for democracy. In a world of noise, propaganda and misinformation, leadership by independent media that provide the facts is needed more than ever. Studies show that voting turnout is higher, more people run for office and public money is spent more responsibly where local news media keep citizens informed and hold institutions to account. But business models are broken. Platform monopolies have gobbled up advertising money and optimize for attention; too often the media has followed suit.

Now there is no way that media companies can outsmart Google, Facebook and the like. News media have to go where their audiences are. But when opinion is everywhere, quality information becomes a critically important currency. Covid-19 has demonstrated that people crave trustworthy journalism. According to the Edelman Trust Barometer, in the first weeks of the pandemic more people relied on major news organizations than on government agencies or even their own friends and family for information. This is a huge responsibility, but what to do with it?

First of all, listening to audiences is vital. Many journalists still spend more energy on beating the competition than attempting to find out what their audiences need. Among these are more explanation, more solutions, a clear distinction between facts and opinion, less noise, clickbait and talking down to people. Instead of indulging in thumbs-up, thumbs-down journalism, more constructive reporting is needed.

The news media cannot go it alone, though. The political sphere needs to secure press freedom; supporting the economic viability of the industry is part of it. And the platform companies that shape today’s communication infrastructure have to take responsibility too. Their algorithms have to optimize for quality content.

Yet blaming Silicon Valley for everything that is going wrong has been the easy way out for too long. A recent study by the Berkman Klein Center for Internet and Society confirmed what other research has already pointed out: the mass media are much more responsible for spreading misinformation – for the most part thought up by political leaders – than social media is. This is bad news and good news at the same time. Bad news, because journalism has not lived up to its potential. Good news, because the media still has plenty of agenda-setting power. Instead of blaming platform companies or foreign meddling for spreading “fake news”, the news media and its leaders should confidently reassert their historic mission to lead through a world of information confusion: that is, to deliver the facts, be transparent about their quest and stimulate serious public conversation. The health of our societies depends on it.

This article was published in the “shape the debate” series relating to the fully digital 12th Global Peter Drucker Forum, under the theme “Leadership Everywhere” on October 28, 29 & 30, 2020