The biggest opportunity for AI isn't just automating existing human work, but tackling the vast number of valuable tasks that were never done because they were economically inviable. AI and agents thrive on low-cost, high-consistency tasks that were too tedious or expensive for humans, creating entirely new value.

AI can handle the 'writing lift,' much like historical rewrite desks. This forces a re-evaluation of a journalist's core value, shifting the emphasis from prose composition to the irreplaceable skills of investigation, sourcing, fact-gathering, and identifying what story matters.

The NYT leverages AI not for writing articles, but for enhancing human-led reporting. Its internal teams build tools to find patterns in massive datasets, like sifting through millions of pages of the Epstein files or analyzing satellite imagery. AI accelerates discovery, allowing journalists to tell new kinds of stories.

Many media outlets misapply AI by trying to make it write articles, which results in terrible quality. The technology's true journalistic value lies in its unprecedented ability to analyze vast troves of legal and financial documents, uncovering stories that were previously impossible for humans to find.

Initially dismissing AI for creative tasks, media companies now recognize its inevitability. The key to adoption is framing AI's value around revenue generation (making more money), which is a far more compelling business case than simply cost-saving (e.g., reducing producer headcount).

The most significant value from AI is not in automating existing tasks, but in performing work that was previously too costly or complex for an organization to attempt. This creates entirely new capabilities, like analyzing every single purchase order for hidden patterns, thereby unlocking new enterprise value.

Rather than simply replacing writers, AI will spawn new specialist roles within media, much like newsrooms created dedicated data visualization teams 15 years ago. Journalists with no technical background can now build machine learning models for analysis, opening new avenues for investigative storytelling.

While AI provides operational efficiency, its most profound value lies in enabling tasks that were previously impossible due to scale, like instantly rewriting 10 million pages of web content after a terminology change. This capability transcends traditional ROI calculations.

AI models can synthesize information and write more effectively than many generalist reporters. Campbell Brown argues this shift makes deep, nuanced expertise and original reporting the only defensible value for journalists. The profession is moving away from generalism towards highly specialized, entrepreneurial creators.