Gizmodo Spain shuts newsroom, switches to AI translation

Gizmodo Spain fires staff and replaces them with AI

On Tuesday, August 29, Gizmodo Spain’s team joined a video call only to be told, without preamble, that their jobs were gone. The Spanish branch of the tech blog founded in 2002 by Peter Rojas is now an auto-published translation feed: software will convert US content into Spanish, eliminating original articles. The layoffs took effect immediately. Writer Matías S. Zavia summed it up: "An AI literally took my job."

What peine to the Gizmodo Spain newsroom?

The announcement came during a virtual meeting, with no official corporate statement yet. Staff learned the closure was immediate and their work would be handled by an automated translation system. Zavia, who has thirteen years of digital media experience, shared his layoff online and sought new employment matching his background. The website remains active, but there will be no more content written specifically for Spanish readers.

This isn't a brand shutdown, but the end of its human version: the US edition continues publishing, while software translates those texts into Spanish. In practice, Spanish-language tech news will be filtered through machine translation, losing local nuances, jokes, and context along the way.

From 2002 to 2019: Who owned Gizmodo?

Gizmodo launched in 2002 under Peter Rojas, becoming one of the world's leading tech outlets. Its ownership history explains current trends: Univision Communications acquired it in 2016, and Great Hill Partners bought it in 2019. Local newsrooms and staff are increasingly rare.

The Spanish edition previously mixed original articles with translations from the US site, as noted by forum participants—a pattern hinting at future developments. When a outlet starts filling gaps with translated material, removing the translator is just a matter of time and cost analysis.

Disclaimer added to every translated article

Articles from the Spanish edition now include a disclaimer about text quality. The site acknowledges automatic translation errors directly to readers. It’s an honest warning and a resignation: no human review occurs before publication.

Automated translation cuts costs but sacrifices nuance. Without native speakers, texts suffer questionable meanings, robotic phrasing, and misused technical terms. In specialized media where vocabulary precision matters, degradation appears within weeks.

Can readers tell humans from machines?

Here lies the core issue and its trap. Some argue average readers can’t distinguish human-written articles from AI-generated ones, granting shareholders permission to cut staff.

Counterarguments suggest if differences go unnoticed, the original content lacked value anyway. This sector faces problems predating AI: years of clone articles, filler headlines, and recycled content have lowered standards so much that machines easily surpass them.

Engadget in Spanish closed similarly

Participants recall precedent exists from the same founder: Engadget, also created by Peter Rojas, shut its Spanish edition years ago after trinc a similar path, though not fully automated. Older systems were worse, yet the outlet continued without local staff.

Many tech and gaming outlets serving Spanish audiences lack English parent versions. Unable to copy the translation model, they face direct AI generation instead. Gizmodo’s move isn’t unique; experts predict it won’t be the last.

Why media outlets are cutting staff

The company hasn’t publicly explained its decision. Context includes declining ad revenue and structural business crises squeezing margins for over a decade. Eliminating entire newsroom costs instantly presents strong temptation.

Timing pressures matter too. Newsrooms shrinking since the 2008 crisis watch competitors closely. If rivals fire everyone while maintaining inventory, boards quickly ask why similar measures aren’t taken locally.

One striking detail emerged: the Spanish account reportedly has around 1.5 million trinc, yet engagement per post remains minimal. Huge audience, tiny interaction. Likely all an algorithm needs to replace human writers.