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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.

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Jim VandeHei predicts that as AI makes general information free and ubiquitous, the market value of distinctive, human-driven expertise will soar. Media companies with deep, niche reporting will thrive, while those producing generic content that can be easily replicated by AI will fail.

In an era of proliferating low-quality, AI-generated content, or "AI Slop," the value proposition of human journalism is clarified. Expertise, skepticism, and original reporting that asks "why" are becoming critical differentiators, offering a reliable alternative to content created cheaply and without regard for accuracy.

According to Ben Smith, the most defensible parts of reporting are gathering new information not yet on the internet and communicating it with human insight. The "production" work in between—synthesis, summarizing, drafting—is highly vulnerable to AI automation, making original sourcing more critical than ever.

AI makes 'yesterday's expert competence' cheap, leading to an abundance of decent but generic outputs (e.g., code, essays). This devalues standard work and increases demand for true experts who can add nuance, create systems, or produce something genuinely novel that stands out.

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.

A significant media shift is the rise of "practitioner media," where experts in a field (e.g., engineers, scientists, founders) share their knowledge directly with the public via podcasts or blogs. This model bypasses traditional journalists, offering unfiltered, in-depth insights from those actually doing the work.

A senior AI product manager at the Associated Press sparked controversy by suggesting reporters should focus on gathering quotes while LLMs handle the actual writing. This reflects a growing, contentious view among media leaders that devalues the craft of writing and reframes the journalist's role into data collection for an AI.

The CEO of Amplitude predicts AI will eliminate jobs based on specialized, niche knowledge (e.g., writing an earnings script). The most valuable employees will be high-agency generalists who can leverage AI across functions, forcing designers to ship code and marketers to automate campaigns.

As AI can replicate analysis and style, human creators maintain an edge by uncovering information not in the training data. Original reporting—accessing private information, tacit knowledge, and real-world events—becomes the most valuable and defensible content.

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.

AI's Rise Will Decimate Generalist Reporting, Elevating Niche Expertise | RiffOn