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Artists Call for Christie’s AI Art Auction To Be Scrapped, Citing ‘Mass Theft’

Thousands of artists demand that Christie’s cancel its upcoming AI-generated art auction, arguing that the works were created using technology trained on copyrighted material without consent. In an open letter, they accuse the auction house of enabling the exploitation of human artists, calling it an act of “mass theft.”

AI In The Spotlight At Christie’s

Christie’s has branded its Augmented Intelligence auction as the first major sale dedicated entirely to AI-generated artwork. The event, set for 20 February, features 20 pieces, with prices ranging from $10,000 to $250,000. Among the artists included are Refik Anadol and the late AI art pioneer Harold Cohen.

However, a growing number of creatives are pushing back. The letter, signed by over 3,000 artists—including Karla Ortiz and Kelly McKernan, both of whom are suing AI companies for unauthorized use of their work—claims that many pieces in the auction were generated using AI models trained on copyrighted artworks without permission or compensation.

“You are rewarding and incentivizing AI companies that exploit human creativity,” the letter states, urging Christie’s to cancel the sale.

AI And Copyright: A Legal Minefield

The broader issue of AI’s use of copyrighted content has sparked legal battles across industries. Artists, authors, publishers, and music labels have filed lawsuits, arguing that AI-generated content unfairly competes with human creators while relying on their work. AI models behind popular tools like Stable Diffusion and Midjourney are at the center of these disputes.

Ed Newton-Rex, a British composer and a leading advocate for artists’ rights, noted that at least nine pieces in the auction appear to have been created with AI models trained on existing artworks. Some works, however, do not show evidence of such training.

Defending AI Art

Christie’s has responded to the backlash, stating that in most cases, the AI tools used in the auction were trained on the artists’ inputs. “The artists featured in this sale have established multidisciplinary practices, many recognized by major museums. AI is being used to expand their creative process, often in a controlled manner,” a spokesperson said.

Some artists participating in the auction also dismissed the criticism. Mat Dryhurst, whose work with his wife Holly Herndon is listed with an estimated price of $70,000 to $90,000, defended their involvement. “We’ve been actively exploring and intervening in this space—it’s well within our rights,” he said. “This debate should focus on corporate practices and policy, not artists adapting to evolving technology.”

Refik Anadol echoed similar sentiments, calling the backlash the result of “lazy critic practices and doomsday hysteria.”

As tensions rise between creatives and AI developers, Christie’s auction is set to be a flashpoint in the ongoing battle over art, technology, and intellectual property rights.

The AI Agent Revolution: Can the Industry Handle the Compute Surge?

As AI agents evolve from simple chatbots into complex, autonomous assistants, the tech industry faces a new challenge: Is there enough computing power to support them? With AI agents poised to become integral in various industries, computational demands are rising rapidly.

A recent Barclays report forecasts that the AI industry can support between 1.5 billion and 22 billion AI agents, potentially revolutionizing white-collar work. However, the increase in AI’s capabilities comes at a cost. AI agents, unlike chatbots, generate significantly more tokens—up to 25 times more per query—requiring far greater computing power.

Tokens, the fundamental units of generative AI, represent fragmented parts of language to simplify processing. This increase in token generation is linked to reasoning models, like OpenAI’s o1 and DeepSeek’s R1, which break tasks into smaller, manageable chunks. As AI agents process more complex tasks, the tokens multiply, driving up the demand for AI chips and computational capacity.

Barclays analysts caution that while the current infrastructure can handle a significant volume of agents, the rise of these “super agents” might outpace available resources, requiring additional chips and servers to meet demand. OpenAI’s ChatGPT Pro, for example, generates around 9.4 million tokens annually per subscriber, highlighting just how computationally expensive these reasoning models can be.

In essence, the tech industry is at a critical juncture. While AI agents show immense potential, their expansion could strain the limits of current computing infrastructure. The question is, can the industry keep up with the demand?

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