McClatchy runs AI slop with journalists’ names on it

· Source: Pivot to AI · Field: Media & Entertainment — Publishing & Journalism, Content Creation & Production · Depth: Fundamental Awareness, quick

Summary

McClatchy Media, a US newspaper operator, has launched a "content scaling" initiative utilizing an AI summarization tool powered by Anthropic's Claude. This "Content Scaling Agent" (CSA) aims to increase story output and inventory, with Vice-President Eric Nelson asserting that journalists who embrace it will "win." However, the company is controversially attributing AI-generated content to human journalists, even after reporters began withholding bylines under union rules. Kathy Vetter, McClatchy's chief of staff, defended this practice, citing the need for "authority" with Google's algorithms. An April 7 update to the CSA also removed automatic AI disclaimers, requiring manual inclusion. This deployment violated a new union contract at The Sacramento Bee, leading to strikes and echoing Politico's prior failed attempt to implement AI tools without union consent, which ultimately resulted in their shutdown.

Key takeaway

For Legal Professionals or Directors of AI/ML implementing content generation tools, understand that deploying AI without union consent or misattributing AI-generated content to human journalists carries severe risks. McClatchy's experience, mirroring Politico's, demonstrates that violating labor agreements and removing AI disclaimers leads to strikes, legal disputes, and reputational harm. Ensure transparent policies and collaborative implementation to avoid similar operational disruptions and maintain trust.

Key insights

McClatchy's AI content strategy, using journalists' names and violating union agreements, faces significant internal and external backlash.

Principles

Method

McClatchy's "content scaling agent" uses Anthropic's Claude to summarize content, aiming to generate "discover explainer" drafts optimized for Google, initially with AI disclaimers that were later removed.

In practice

Topics

Best for: CTO, VP of Engineering/Data, Executive, Tech Journalist, Legal Professional, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Pivot to AI.