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In a recent episode of the “Ink and Insights” podcast, International Center for Journalists (ICFJ) President Sharon Moshavi offered a nuanced perspective on journalism’s future amid rapid technological change and mounting financial pressures. The wide-ranging discussion with host Sumit Sharma Sameer explored how AI is simultaneously creating opportunities and challenges for newsrooms worldwide.
Moshavi expressed optimism about AI’s potential to alleviate resource constraints in cash-strapped newsrooms. “What excites me is the workflow piece – it’s the doing more with less,” she explained, noting that the collapse of traditional business models has left most news organizations severely understaffed. Rather than replacing journalists, she views AI as a potential lifeline: “It’s not about getting rid of people’s jobs. There are not gonna be journalism jobs if we don’t solve the business model and the resource issues.”
However, Moshavi didn’t shy away from identifying serious concerns about AI’s impact on the industry. She highlighted three primary challenges: the acceleration of disinformation, the exploitation of journalistic content for AI training without compensation, and declining web traffic as readers increasingly rely on AI-generated summaries rather than clicking through to original reporting.
“You can do disinformation at scale, at warp speed with AI, and that is very challenging,” Moshavi warned. She noted that while a few major news organizations have secured licensing deals with AI companies, most publishers are seeing their content used without payment. This exploitation comes with additional costs: “Websites are being crawled by so many AI bots that they’re crashing. So now your website cost just went up.” More alarmingly, she cited reports of news publishers seeing traffic drop by 20-30% as readers consume AI summaries instead of visiting original sources.
When asked about essential innovations for newsrooms, Moshavi emphasized the importance of “forensic analysis” to combat the increasingly polluted information ecosystem. “It’s not enough to do whack-a-mole,” she said, advocating for more sophisticated approaches to identify and investigate disinformation networks. She stressed the need for innovative audience engagement strategies that can break through the noise of false information.
Despite these challenges, Moshavi remains hopeful about journalism’s future, drawing inspiration from industry pioneers who are experimenting with new models and approaches. “What gives me the most hope is that there are people trying to do things so differently,” she said, highlighting ICFJ’s role in providing resources and connections for journalists to experiment across disciplines.
For early-career journalists feeling overwhelmed by industry turbulence, Moshavi offered practical advice: develop deep expertise in specific subject areas rather than trying to be generalists, and build technological literacy, particularly around AI. “You’ve got to understand what it can do, what it cannot do, where the dangers are,” she emphasized. “That is absolutely crucial for the next generation of journalists.”
Reflecting on her desired legacy, Moshavi articulated a commitment to factual reality in an era of competing narratives. She cited former U.S. Senator Daniel Patrick Moynihan’s famous observation that “Everyone is entitled to their own opinion. They’re not entitled to their own facts.” While acknowledging that perspective shapes understanding, she maintained that objective reality still matters: “There is no such thing as absolute and ultimate truth. But, a phone is a phone.”
Moshavi concluded by expressing her hope to be remembered as someone who pushed the industry to evolve beyond traditional approaches. “We cannot trade in what we’ve always done, and we need to be willing to think differently,” she said. “Only then are we going to get to that world I like where facts reign.”
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14 Comments
Interesting perspective on the challenges and opportunities AI presents for journalism. It’s important to find the right balance between leveraging AI tools and preserving the integrity of news reporting.
Agreed, maintaining journalistic independence and fact-based reporting is crucial, even as newsrooms adapt to new technologies.
As AI capabilities continue to evolve, it will be important for journalists and news organizations to proactively shape the ethical frameworks and best practices for its use in the industry.
Agreed. Collaborative efforts between media, technology, and academic experts could help develop robust guidelines and standards.
The financial pressures facing news organizations are a real concern. Exploring how AI can help streamline workflows and reduce resource constraints is a pragmatic approach.
That’s a fair point. If implemented responsibly, AI could potentially free up journalists to focus more on investigative reporting and in-depth analysis.
I’m curious to learn more about the specific AI tools and workflows that could help alleviate resource constraints in newsrooms. It would be interesting to see case studies of successful implementations.
Good point. Detailed examples of how AI is being used to enhance journalistic productivity and efficiency would provide helpful context.
The issue of AI training on journalistic content without compensation is a thorny one. Journalists and news organizations will likely need to negotiate new terms and models to protect their intellectual property.
That’s a valid concern. Developing fair and sustainable licensing frameworks for AI training data will be an important part of this transition.
Disinformation is a major challenge, and the acceleration of it through AI is worrying. Robust fact-checking and ethical guidelines for AI use in journalism will be critical.
Absolutely. Ensuring accountability and transparency around AI-powered content is essential to maintain public trust in the media.
The decline in public trust in media is a worrying trend. Ensuring that AI is used to strengthen, not undermine, the credibility of news reporting should be a top priority.
Absolutely. Transparency and accountability around AI’s role in the news process will be crucial for maintaining public confidence.