The case for taxing AI slop

rancisco is working on a highly anticipated book when he learns he will need to be the full-time caretaker for his terminally ill mother. His income from copy-editing has all but disappeared since the release of LLMs. His book contract is in peril. It is saved when his publishers secure bridge funding that enables Francisco to hire a caregiver.

A high school in New Mexico where 65% of the students are categorized as food insecure can fund a year’s worth of visual art and music supplies. Last year, funding for “Arts & Creativity” was cut in order to accommodate tax concessions dealt to a datacenter project in the county.

One of the last remaining independently-owned newspapers in Ohio is on the verge of folding when they get a lifeline grant, enabling them to make payroll. A private equity firm attempted to assume control with the intent to automate web articles using generative AI summaries of newswires.

In Kansas, a public radio station launches a weekly segment focused on big agriculture and its impact on farming ecosystems. Travel, editing, and original music are funded. They stream it online, where it becomes a surprise hit.

As the clock strikes midnight on New Year’s Eve, 25,000 researchers and educators are sent need-based grants to cover rent, materials, and other expenses for the calendar year. There was no short list, long list, or onerous grant application process from a foundation started by a wealthy arms dealer. Anyone qualified as a cultural worker—a term spanning disciplines and research methods—is able to apply for funds. None of them are working on generative artificial intelligence, and most of them view using genAI as an alien interloper into their practice. Yet their work is urgent and enriching. Over half of them report being on the verge of quitting their practice if not for this financial support.

These stories are fictitious, but the struggles they represent are real. In each case, the cultural production in question has come under threat by the rapidly metastasizing presence of Artificial Intelligence tools, known specifically to human creators as “AI slop.”

Where did this sudden influx of funds come from? How were millions of individuals and cultural organizations given grants and emergency lifelines at a time of intense precarity and technological disruption? The answer is surprisingly simple and broadly popular—a minuscule tax levied on the values of multi-billion dollar AI companies—the same companies whose extractive AI models flood our media, news feeds, and public institutions with cheap derivatives.

Why tax slop?

It would seem that “AI Slop” needs no introduction. You hear it on Spotify, where the platform has begun to stream tracks from fake bands whose music is composed by AI. You see it on YouTube, where a recent study determined that a new user will encounter around 21% fully AI-generated videos on their feed. You read it on Amazon, where books written via AI prompt are pumped out at an inhuman scale, flooding recommendation lists and fooling readers. In fact, “Slop” was Merriam-Webster’s Word of the Year for 2025, defined as “digital content of low quality that is produced usually in quantity by means of artificial intelligence.” The term slop is chosen for its lack of care in assembly, the notion that a cheap careless substitute will suffice at a certain scale. As digital platforms re-wrote the incentive structure for creative and cognitive production, capitalists saw an unexploited market. AI Slop, like the platforms that host it without regulation, monopolizes our collective attention. And where attention goes, resources soon follow.

The generative AI models that enable the production of slop require untold reams of human input for training, almost always stolen without permission. AI companies in turn sell the capabilities of these models as a way to produce sub-standard artificial reproductions of this cognitive labor at scale, directly competing with the current allocation of resources to the human creative labor that was harvested to train them.

AI slop disrupts and annoys us in the near term; and the backlash against it is starting to take shape. Less obvious still are the second-order effects of a creative economy where powers that underwrite creative expression, journalism, and research become financially impelled to replace human work with a poor automated alternative.

Some have compared AI and its slop to mold on food. Mold needs nutrition-rich hosts, but as invasive mold grows the host resource is slowly destroyed. Eventually, there is no new energy for it to perpetuate, and the mold dies too.

The labor losses will be outweighed by the larger narrative collapse. If AI Slop proliferates unchecked, precious few institutions will remain to determine what is real or scam; which output is gaming the platform economy or which is the work of those seeking to advance social and cultural exchange, trust, and human flourishing.

It is only through robustly-funded cultural institutions—broadly construed as organizations that produce a good or service where the quality and veracity of the output outweighs the ease of distribution and monetization—where AI slop will meet its ontological death.

How does the Slop Tax work?

Any AI company exceeding a billion-dollar valuation must pay 1% of its revenue annually. These funds go to a cultural endowment vehicle with funds managed by an independent public entity governed by a democratically appointed approval board. These funds will be disbursed at the discretion of the Board and Staff according to the categories defined below.

In one estimate, the top ten American producers of AI rake in $16.9 Trillion each year. The Slop Tax, if executed, would produce a windfall for America’s cultural workers to the tune of $16.9 Billion, roughly the same amount we allocated for nuclear energy research, the Food for Peace International Assistance Program, or The Harbor Maintenance Trust Fund’s support for navigation in federal channels serving coastal ports.

Think of The Slop Tax as a post-AI New Deal that steers the excess wealth of a small minority of AI companies back towards a vast mobilization of human creativity and cognitive production. This accomplishes two mutually aligned goals: the material basis and institutional homes for human cognitive output are protected, while the AI labs are guaranteed a steady input of new training data. They will be free to use it as they wish, given that the worst of the cultural degradation infected by AI slop has guardrails preventing the AI models’ cannibalization of human creativity and intellectual property.

Failed fixes

Given its social and economic risks, various attempts to slow, ban, or regulate the use of AI have been proposed. Many are punitive to AI categorically. The Slop Tax, however, is not a ban, but a corrective. This approach does not seek to pause or punish AI progress, as in certain cases these companies make worthwhile advances. But they must be held accountable for the damage that their AI Slop inflicts on the broader economy.

Some 20 years into various failed attempts to re-constitute Silicon Valley platforms for democratic ends we must face up to reality. Countering such an existential cognitive, social, and soon-to-be political threat requires a sovereign megastructure on the scale of the United States government. It alone can guarantee the existential security of our humanist and social institutions, ensuring they remain vibrant, democratic, and publicly accessible.

We hear about the so-called “abundance” that will be ushered in by AI from those with a financial interest in its wider adoption. You can take them at their word, or you can look around. In the years since LLMs have gained popular traction we have yet to see the trickle-down economics promised. Instea,d we see slop of previously unimaginable scale. No matter how transformative AI becomes, even if it is used for a wide array of positive ends, the mean use of AI will regress to whatever capital demands. There is, however, a surefire way to ensure that value is unlocked and distributed on a massive scale. The Slop Tax makes this law. As AI value grows, so moves new wealth into millions of hands — directly via remunerations and credits — and indirectly by being a fiscal backstop for a range of cultural and economic engines.

AI companies must be held accountable for sacrificing the basic tenets of a social contract for short-term gain. There is still time to forge an agreement permitting frontier AI to progress along its research journey while regulating its most odious externalities. A public apparatus to fortify our cultural infrastructure has never been more imperative.