How clips ate the internet | The Vergecast

Gig-economy clipping platforms

Companies now post clipping jobs to platforms functioning like Fiverr, where anyone can sign up to edit and distribute clips, earning a few dollars per thousand views without upfront costs for the hiring party.

Professionalized amateur labor

This model eliminates the need for professional video editors, allowing brands to subcontract content creation to teenagers worldwide who only get paid when clips generate views.

Volume-based algorithmic flooding

The strategy relies on brute-forcing the algorithm by distributing thousands of clip variations across the internet to maximize impressions rather than targeting specific engaged audiences.

Anonymous meme page networks

Paid clips are distributed through anonymous "fan pages" and meme accounts rather than official channels, designed to mimic organic copyright-infringing content shared by fans.

The organic illusion

Many campaigns lack FTC-mandated disclosures or sponsorship labels, deliberately obscuring the paid nature of the content to make brand promotion feel like authentic viral moments.

Views over engagement

Success is measured purely by view counts—which function as impressions in short-form video—often resulting in clips with hundreds of thousands of views but minimal actual engagement or brand recall.

The Kai Cenat phenomenon

Streamer Kai Cenat utilized nearly 2,000 clippers to post approximately 70,000 clips in two months, transforming viral clip exposure into mainstream media coverage including GQ and 60 Minutes.

The transparency paradox

Unlike influencer marketing which has normalized disclosure, brands and creators using clipping services actively avoid discussing the practice, suggesting they recognize it as risky despite claiming it is standard industry practice.

Loss of follower meaning

The strategy reflects a shift where traditional follower counts matter less than raw algorithmic reach, allowing unknown accounts to generate massive visibility through paid distribution networks.