NYT CEO: AI Can Unlock Stories We Couldn't Tell Before

In a recent appearance on the "Odd Lots" podcast, The New York Times President and CEO Meredith Kopit Levien discussed the evolving media business, the role of AI in journalism, and the company's strategy for continued growth. Levien highlighted how AI can be a powerful tool for journalists, enabling them to uncover stories that were previously inaccessible due to the sheer volume of data involved.

Leveraging AI for New Narratives

Levien shared an example of how The Times used AI to sift through millions of pages of documents related to the Epstein files, enabling reporters to identify patterns and clusters that led to the production of high-quality journalism. She also noted that AI can help in analyzing large troves of public information, such as cabinet members' public records, to provide more comprehensive reporting.

Beyond data analysis, Levien pointed to AI's potential in creating new forms of storytelling, citing an instance where AI was used to sort through aerial imagery of tennis courts to determine how many had been converted to pickleball courts. This application, she suggested, could be valuable for investigative journalism, allowing for more efficient data analysis and the discovery of previously unseen trends.

The full discussion can be found on Bloomberg Podcast's YouTube channel.

The Core Brand Promise: Trust and Curiosity

Throughout the discussion, Levien reiterated that the foundation of The New York Times' success remains its commitment to high-quality, independent news journalism. "We are going to help you understand the world, and we are going to do that in a way that is in service to nobody's interest but the public," she stated.

She emphasized that this core promise extends across all of The Times' offerings, including its lifestyle products like The Athletic and its games. The goal, she explained, is to provide content that is trustworthy, valuable, and enhances understanding, making people "smarter, [and] more well-rounded."

Navigating the Media Landscape: From Print to Digital and Beyond

Levien reflected on the significant shifts in the media industry since 2009, noting the blurring lines between traditional print and new digital media. She observed how legacy publications have embraced digital formats, including video and podcasts, while independent writers are now producing high-quality journalism, leading to a "big fusion" in the media business.

She also touched upon the evolution of audience engagement, contrasting the past where the goal was to reach a brand like The New York Times, with the present where individuals at major publications might consider the lucrativeness of independent media platforms.

Strategic Bets and Long-Term Vision

When asked about resource allocation, Levien stressed that high-quality news journalism remains the most economically value-creating aspect of the business. However, she acknowledged the ambition to be the market leader in all spaces the company enters, including sports journalism with The Athletic and its popular games.

The New York Times' family-controlled public company structure, Levien explained, allows for a long-term view, enabling the company to make "big, bold, ambitious bets" and give them time to play out. She expressed confidence in the company's strategy to continue growing its subscriber base, revenue, and profit, ultimately enabling it to better deliver on its public mission.

The Future of Video and AI in Content Creation

Addressing the company's push into video, Levien stated that The Times aims to have the best journalistic talent on earth and is committed to providing them with the resources needed. She also discussed the potential of AI in automating tasks like translation and enhancing the accessibility of content.

Regarding the role of AI in newsrooms, Levien believes that while AI can assist in various tasks, high-quality, independent journalism must remain human-led. She highlighted the importance of human sensitivity and judgment in translating complex events into understandable narratives, particularly when dealing with sensitive topics.

Pricing, Subscriptions, and Audience Capture

Levien discussed The Times' pricing strategy, emphasizing the balance between making content accessible for sampling and providing sufficient value for paid subscriptions. She stated, "We never accepted that we had to choose between having a lot of stuff widely available so that people could sample our work, and also enough value and gravity in the product so that people would pay."

The company's strategy is designed to attract a wide range of customers, from those buying games on sale to those opting for the full news bundle. Levien believes that by consistently increasing the value of its products, The Times can continue to grow its audience and, consequently, its economic value for shareholders.

She also addressed the concern of "audience capture," asserting that The Times is not chasing audiences at the expense of truth. The publication aims to pursue truth wherever it leads, even when it is uncomfortable or angers opposing groups, believing that most people desire trustworthy information and a fair process in its pursuit.

The AI Compensation Debate and Token Spend

On the topic of compensating journalism in the age of AI, Levien highlighted the significant investment The Times makes in producing content, noting that the company spent close to $2 billion last year producing half a million works of content. She asserted that AI companies should provide sufficient value exchange for the high-quality journalism they utilize.

Levien also touched upon the concept of "token consumption" in relation to AI models, stating that while the company is exploring these tools, the focus remains on ensuring that high-quality, independent journalism remains human-led. She believes that it will be some time before a definitive answer can be given on the long-term impact of AI on token spend and resource allocation.