Google’s recent deal with the Associated Press (AP) and OpenAI’s funding of Axios highlight the critical challenge facing journalism in the generative era: how to remain a sustainable business while embracing disruptive technology.
Google’s partnership with AP builds on their existing collaboration and brings real-time news to its Gemini AI chatbot. AP’s VP of Global Business Development Kristin Heitmann called it “a new revenue stream for trusted journalism.” Licensing content isn’t a new idea, but the trend reinforces the value of the content and moves away from the controversies of algorithmic scraping.
In an unrelated story, OpenAI announced it is backing Axios’s expansion into four new local markets (Pittsburgh, PA; Kansas City, MO; Boulder, CO; and Huntsville, AL) as part of a broader $10 million investment in local news. Axios Publisher Nick Johnston noted, “This funding allows us to explore how AI can augment local journalism, ensuring communities stay informed while reducing operational costs.”
Both efforts reflect a shared mission: finding a path forward for the coexistence of professional journalism and AI. Google is betting on content licensing as a model for sustainability, while OpenAI is exploring whether AI can make local journalism viable through a tool integration strategy.
The bigger question is whether these approaches address journalism’s existential crisis. Will licensing agreements and AI partnerships fund the robust, investigative reporting that democracy depends on, or are these just tech-driven stopgaps that fail to address the underlying economic challenges of the news business? If AI can’t make journalism profitable, who will fund the truth in a world where misinformation is free?
Author’s note: This is not a sponsored post. I am the author of this article and it expresses my own opinions. I am not, nor is my company, receiving compensation for it. This work was created with the assistance of various generative AI models.