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Is paying artists enough to convince them to embrace AI?

Pippa, an AI startup, is attempting to create an ethical generative AI video platform by offering artists a revenue share when their styles are used. This model aims to address concerns about AI training on copyrighted work, despite the company's current reliance on some …

By Charles Pulliam-Moore·Aug 2·theverge.com·3 min read

Intelligence analysis by Gemini 2.5 Flash

An AI-generated image of a woman in armor standing on al elevated platform surrounded by soldiers.
An AI-generated image of a woman in armor standing on al elevated platform surrounded by soldiers.Image: theverge.com

Pippa seeks to differentiate itself in the competitive generative AI video market by implementing a business model that directly compensates artists whose styles are utilized. The company's founders believe this approach can ethically evolve AI technology, moving past the contentious history of models trained without permission, though they face an uphill battle in convincing a skepti…

Why it matters

This story matters to AI followers as it explores a novel attempt to establish an ethical framework for generative AI, directly confronting the critical issues of artist compensation and intellectual property rights. Its success or failure could significantly influence future business models and regulatory discussions in the AI industry.

Imagine a special art club where computers can draw pictures and make videos in different styles. A company called Pippa wants to make sure that if the computer uses a style like a real artist's, that artist gets paid a tiny bit, like getting a small coin each time someone uses their unique drawing trick. They want to be fair, unlike other computer art makers that just learned from all the art on the internet without asking. But it's still tricky because even Pippa's computers learned some things from that big pile of internet art, so they're trying to figure out how to be completely fair to everyone.

Analysis

Pippa's Ethical Proposition

Pippa, a new player in the generative AI video space, is attempting to carve out a niche by positioning itself as an ethical alternative to existing platforms. Its cofounders, Hogan Shrum and Sean Wright, aim to address the widespread criticism that AI models have been trained on artists' work without permission, a practice many creators equate to theft. They envision Pippa as a way to move beyond what they describe as the "bloody history that the AI industry has been built on," hoping to set an example for their peers.

The company's core differentiator is a revenue-sharing system designed to pay artists directly. Every time a Pippa subscriber generates an image or video clip that draws inspiration from a human artist's work, that artist is compensated. This model is intended to foster a more collaborative relationship between AI developers and the creative community, potentially transforming a contentious landscape into one of mutual benefit.

The Compensation Model and Artist Skepticism

Pippa's payment structure involves artists receiving $0.005 per image and $0.003 per second of video generated using their style. Additionally, artists gain access to a 5 percent royalty pool funded by the platform's overall subscription revenue, which ranges from $14.99 to $99.99 monthly. The company likens this royalty system to Spotify's, a comparison that has raised eyebrows given the music streamer's own history of artist complaints regarding low payouts.

Despite Pippa's stated good intentions, the company faces significant skepticism from the artistic community. Many artists are apprehensive about participating, fearing ostracization from their peers who view any engagement with generative AI as "crossing the picket line." To mitigate this, Pippa offers partner artists the option to submit their work under pseudonyms. While the company has only signed agreements with four artists since its May launch, it is actively in talks with more, hoping that the economic benefits will eventually sway more creators.

The Unresolved Data Scrape Dilemma

One of the most significant challenges Pippa faces in its quest for ethical AI is its current reliance on models that have been, at least in part, trained on scraped internet data. While the company aims to transition fully to models trained exclusively on datasets provided by its in-house artists, its initial technology still incorporates "open models that... have initial training on the broader set of content out there." This means that, despite its best efforts, Pippa's technology still involves some degree of using art collected without explicit creator consent.

This inherent reliance on previously scraped data complicates Pippa's ethical claims and highlights a broader industry-wide issue. The company acknowledges that it doesn't yet have a complete solution for the "creative theft that's inherent to gen AI." This ongoing challenge underscores the difficulty of truly disentangling new AI models from the controversial data practices of their predecessors, even for companies striving for a more ethical path forward.

Key points

  • Pippa is an AI startup aiming to create an ethical generative AI video platform by paying artists for the use of their styles.
  • Artists receive small per-generation payments ($0.005/image, $0.003/second video) and a share of a 5 percent royalty pool from subscriptions.
  • The company faces skepticism from artists concerned about being ostracized and offers pseudonyms to partners.
  • Pippa's technology still relies on open models initially trained on a broader set of internet content, meaning some scraped data is involved.
  • Founders Hogan Shrum and Sean Wright hope to set an ethical example for the AI industry, likening their model to Apple's shift from Napster.
The Upside

If Pippa's model successfully attracts a critical mass of artists and proves financially viable, it could establish a groundbreaking precedent for ethical AI development, fostering a more collaborative and equitable ecosystem for creators. This could lead to widespread adoption of fair compensation practices across the generative AI industry, transforming the current adversarial relationship into a symbiotic one.

The Downside

Pippa's current reliance on models trained on scraped data and the relatively small individual payments might fail to overcome artist skepticism, leading to continued resistance and legal challenges. If the company cannot fully resolve the "creative theft" issue, its ethical claims could be undermined, limiting its ability to scale and attract the necessary talent and user base.

Originally reported at

theverge.com

Discernion covers the story. Read the full piece at the source.

Tagsaiethicsartgenerative-aiintellectual-propertystartupsartist-royalties

Author

Charles Pulliam-Moore

Intelligence analysis by

Gemini 2.5 Flash

Published

Aug 2, 2026

Source

theverge.com

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Topics

aiethicsartgenerative-aiintellectual-propertystartupsartist-royalties

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