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Katie Metz // Adriana Lacy Consulting

This week, Business Insider, part of Axel Springer’s media empire, announced it will lay off ~21% of its staff as it pivots toward artificial intelligence and live events. In a memo to employees, CEO Barbara Peng described an urgent need to adapt: “Business models are under pressure, distribution is unstable, and competition for attention is fiercer than ever,” she wrote, pointing to a “huge opportunity for companies who harness AI first.”

The shake-up will touch every department and includes ending most of Insider’s e-commerce (“commerce”) operations and cutting some traditional beats, while reducing reliance on traffic-dependent content. At the same time, Insider plans to launch a new event series called “BI Live” to showcase its journalism, even hiring new staff to run those live events. 

“Change like this isn’t easy,” Peng acknowledged, recalling that Insider was born in a time of disruption, when the smartphone was reshaping how people consumed news. We thrived by taking risks and building something new. Now, she’s positioning AI as the next disruptive leap Insider must embrace to “lead the pack.”

Peng’s optimism aside, the news has understandably rattled journalists inside and outside Insider. The company’s union said roughly 20% of its members will lose their jobs and blasted the cuts as another “brazen pivot away from journalism toward greed” by Axel Springer. 

Union leaders also called it “tone-deaf” that management touted “going all-in on AI” in the very memo announcing mass layoffs. (Indeed, it’s a jarring juxtaposition: on the same day Insider extolled AI’s promise, many human staffers received pink slips.) Insider had already trimmed about 10% of staff last year, and its parent company is highly profitable, facts not lost on critics of these cuts.

So what does this mean for the broader journalism industry? In short: AI has graduated from buzzword to strategic centerpiece and newsrooms must grapple with that reality. Insider’s move is one of the clearest signals yet that major publishers see AI not just as a tool, but as a core part of their business strategy (for better or worse). They’re hardly alone. Just this week, The New York Times struck a deal to license its content to Amazon for “AI-related uses,” allowing Times journalism to be shared via Alexa and even to train Amazon’s AI models. 

Other big media players have inked similar agreements: News Corp has a content deal with OpenAI, The Associated Press and Axel Springer (Insider’s owner) have partnered with OpenAI as well. In Insider’s case, the company is also diversifying revenue by leaning into live events (a growing trend for publishers) while using AI to streamline operations. It’s a dramatic play, but it reflects pressures felt across newsrooms everywhere to find sustainable business models in a changing digital economy.

Crucially, this pivot does not need to spell doom and gloom for journalism, unless the industry stays flat-footed. Yes, the specter of AI displacing jobs is scary. But as observers have pointed out, journalism has weathered waves of technological change before (from the web, to social media, to smartphones) and come out stronger.

The key is adaptation, not panic. As Poynter’s Alex Mahadevan noted after a recent AI and Journalism summit, the question is whether this moment is a “doomsday scenario, or will it spark a reinvention?”

The opportunity now is for journalists and newsroom leaders to proactively shape how AI is implemented, rather than having it imposed top-down. That means developing clear ethical guidelines and workflows for AI in reporting, making transparency to audiences a priority, and identifying where these tools can augment newswork (data analysis, research, personalizing content) versus where human judgment must remain paramount. Notably, audiences want newsrooms to proceed with caution: a recent study found most Americans want news organizations to disclose their use of AI and set ethical policies before integrating the tech. In other words, media organizations should be openly engaging with their readers about AI and demonstrating how it can serve quality journalism, not undermine it.

Rather than viewing Insider’s AI pivot as a herald of an AI apocalypse, it may be better seen as a wake-up call. Forward-looking news leaders will use this moment to invest in AI literacy and training in their newsrooms, set guardrails (many news unions are already pushing for this), and explore new products that leverage AI to enhance storytelling and audience engagement all while fiercely protecting the integrity of their journalism. We’re already seeing early examples: at Politico, journalists negotiated some of the first contract language governing AI in a newsroom, and they’re now taking management to task for allegedly violating those rules by rolling out new AI tools without consent.

This kind of push-and-pull is healthy. It shows that reporters and editors are not passive bystanders but are actively insisting on a seat at the table in how AI gets used. There’s bound to be tension and trial-and-error (see the Sun-Times’ recent AI fiasco in our reading list below), but outright resistance or panic could leave journalists sidelined. The better path is to engage, experiment and lead. If AI is going to reshape how news is produced, distributed, and monetized, who better than journalists themselves to help guide that transformation in service of truth and the public interest?

VERIFICATION CHRONICLES 

Bluesky Revives the Blue Checkmark with a Trusted Twist

Bluesky, the decentralized social platform championed by Twitter co-founder Jack Dorsey, is rolling out a verification system that will look familiar to veteran Twitter users. Notable accounts on Bluesky can now receive a blue checkmark beside their name as a clear nod to the badge of authenticity popularized by early Twitter.

Unlike Twitter’s classic check, Bluesky’s version is stylized to match its branding: the checkmark appears inside a blue circle icon (rather than Twitter’s plain check). The intent is the same as in Twitter’s heyday – to visually signal an account’s authenticity – but with Bluesky’s own design flair and a modern, decentralized approach to administering those badges.

This move comes as Bluesky grapples with growth and the accompanying risk of impersonation. In late 2024, Bluesky’s user base surged dramatically – adding some 20 million users in just four months and bringing the total to about 35 million by early 2025. That explosive growth, sparked in part by disenchanted Twitter users flocking to the new network, also led to a rise in fake accounts and identity confusion.

FROM THE BLOG

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In the arena of AI language models, three contenders stand tall. Find out which chatbot reigns supreme in this comprehensive comparison.

Designing Productive Workspaces in the Era of Remote Work

As remote work continues to evolve, so will the tools and strategies available to enhance our workspaces.

How AI is Transforming Email Workflows for Media Outlets

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WHAT WE’RE READING

  • 🤝 The New York Times has struck a deal to license its content to Amazon for AI. The multi-year agreement will share Times articles via Alexa voice assistants and allow Amazon to train its AI models on NYT’s journalism. Notably, this is the Times’ first major AI licensing deal, announced even as the paper pursues legal action against AI firms for unauthorized use of its content, The Wrap reports.

  • ⚖️ Journalists at Politico are gearing up for a legal battle over AI in their newsroom, reports Wired. The outlet’s union contract (one of the first to include rules on AI usage) requires 60 days notice to staff before implementing new tech that affects jobs. Now the union alleges management violated that agreement by deploying generative AI tools without proper notice, and they’re taking the dispute to arbitration this summer.

  • 😬 In a cautionary tale, The Chicago Sun-Times admitted that a summer “reading list” it published, which recommended several books that don’t actually exist, was generated by an AI system (ChatGPT) used by a partner freelancer, writes the Guardian. The paper’s CEO called the episode a “learning moment” as the article had slipped through without proper fact-checking. It’s an embarrassing example of the hallucination problem with AI content. For many newsrooms, it’s a reminder that human editorial oversight is still essential, even as automation tools enter the workflow.

📲 Keep up with Adriana Lacy Consulting on LinkedIn, Instagram, Threads, X and Facebook. Send comments and suggestions to [email protected].

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