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The Dangers of Big Business AI Pornography
Given the speed of AI’s development and its ubiquity, relying on companies to self-regulate is like closing the computer laptop after the deepfakes have been posted.
Mar 28, 2026
The explosion of AI into the marketplace has led to fears that workers, including white collar workers, will soon become obsolete; that Big Tech firms will control more and more property including intellectual property; that AI data centers will require so much energy as to overwhelm small communities, raise electricity prices, and accelerate global warming; and that the ongoing gathering of money, power,and software in the hands of tech billionaires will enable them to control political discourse and surveil the masses. Critics rightfully worry about AI upsetting social conventions, invading personal privacy, destroying jobs by making workers redundant, and challenging social mores.
When considered soberly, the risks of AI are the risks that accompany any new technology: reinforced racial bias and discrimination, economic inequality, deskilling of workers, and misinformation and manipulation that reflect existing power structures. Already pervasive society-wide gender and racial biases are reinforced in AI. The demographic of those programming AI systems are overwhelmingly white men, leading to biases in the development of AI tools, cybersecurity systems, policing software, and cameras.
AI Threatens Children
AI has become a powerful force even in the area of pornography, where the dangers that accompany its spread illuminate the risks of the diffusion of AI generally. The shocking impacts include deepfakes (the artificial use of images to embarrass or hurt others) and child abuse. Elon Musk’s “Grok” app is allowing users to undress anyone including minors, while “X” refuses to take action. The American Federation of Teachers left “X” because of its dissemination of “sickening” images of children in various states of nudity.
These worries are playing out against the backdrop of the Epstein sexual predator scandal that also involves modern technology, wealth, and privileged men. It is reflected in the unfettered development of pornographic applications, too many of which thrive on sexual exploitation of women and children. In the US the determination of President Donald Trump to avoid regulations of AI at the urgings of industry thus becomes a greater danger. The spread of risky AI pornography results not from the unfettered prurient interests of purveyors and users, nor from a lack of moral safeguards, but from a failure of governance and unwillingness to stifle profit in the name of free speech.
The exploitation of women’s sexual images without consent, coupled with the lack of robust oversight or age verification for mainstream platforms, perpetuates a cycle of harm.
In order to exert proper controls on the dark, abusive side of AI porn—and AI generally—we must understand what it is, how it developed, and how it might be controlled. Pornographic content has had a major presence in erotic and bawdy books and magazines over the centuries. You might say it became mainstream with Geoffrey Chaucer’s Canterbury Tales (late 14th century), although the modern notion of pornography arose in the mid-19th century. The internet enabled a pornography boom by bringing it to any computer and eventually to any cell phone. If porn was expensive to produce, it generated high income. This stimulated further development of internet platforms where it is both pervasive and free. Rather than selling copies of videos, industry cleverly embraced online platforms to create multiple income streams through blind links, pop-up windows, pay-per-click ads, and by sharing of traffic with other sites.
A Big Dangerous Business
AI and such associated technologies as handheld electronic cameras and web pages have transformed the porn industry from being large and studio centered to being a cottage industry for virtually any tube site, small warehouse, or apartment. But Big Tech dominates. Of over 1 billion websites, of which less than 200 million are active, at least 4% are porn related, and perhaps as many as 12%. By usage, even more of the net is related to pornography, perhaps 30% of the internet’s data usage, with raw bandwidth usage six times larger than for Hulu or Youtube. MindGeek, the owner of several of the most visited sites including Pornhub, RedTube, and YouPorn, is a dominant force. Between 2013 and 2019, the number of visits registered in Pornhub grew threefold from 14.7 to 42 billion, and it is increasingly originating from mobile devices; in January 2024 alone there were 11.4 billion mobile visits worldwide.
The majority of users are male.
All of these visits to porn sites generate huge profits, well over $100 billion worldwide annually. For perspective: these profits are greater than those for Apple, GM, and other major corporations. By the 2020s the top porn producing countries were: the United States, at 24.5%; the United Kingdom, 5.5%; and Germany, Brazil, France, and Russia at between 4% and 5%. The vibrant OnlyFans site, in which performers own their own content, reported $7.22 billion in gross revenue in 2024. During the Covid-19 pandemic, as isolated individuals turned to the web for sexual comfort, OnlyFans gross revenue rose 118%, followed by annual increases of 16% and 19% in 2022 and 2023, respectively.
Technologies of AI Porn
The development of AI-generated pornography moved hand in hand with the rise of generative artificial intelligence. Much of the material is artificial, or at the very least enhanced. Many publicly accessible AI models generate text, audio, and images across the entire human spectrum of activities. They include ChatGPT, Gemini, DeepSeek DALL-E, and Midjourney which have content moderation systems to prevent the creation of sexually explicit material. But a large volume of the output is deepfakes and child pornography, both of which have generated outrage and calls for its control, if not outright illegalization, and its rapid removal from the worldwide web. And moderation works only so far.
As quickly as new AI programs are developed, work-arounds to the restrictions are found. A separate market for so-called unmoderated or uncensored generative AI tools has also emerged which enables production of sexually explicit content through web and app interfaces. As examples: Dreampress.ai and MySpicyVanilla.com prompt erotic stories, while PornPen.ai, Pornderful.ai, Unstability.ai, and other apps enable pornographic images or videos. The exploitation of women’s sexual images without consent, coupled with the lack of robust oversight or age verification for mainstream platforms, perpetuates a cycle of harm.
Deepfakes and Child Abuse
By now websites dedicated to AI-generated adult content have spread into the mainstream where they may promote predation. They are first of all businesses dedicated to generating market interest and making profit, not in self-regulation. Drawing on huge libraries and data sets, they enable users to customize their preferences for body type; facial features; such enhancements as implants, tattoos, and piercings; kinds of encounters and positions; and fetishes. From the privacy of one’s domain, a user can thereby have sexual encounters, thinking he may do so without endangering others or himself.
Ultimately, however, AI pornography distorts human sexuality, because everything is on demand and seemingly risk free. It trains desire without reciprocity. It erodes the human capacity for negotiation, refusal, and mutual recognition. What looks like personalization of preference is actually the substitution of a screen for a living, feeling autonomous partner. Thus, AI porn is less about sex than about power: It teaches users to expect intimacy without vulnerability and especially without responsibility, and it facilitates abuse of women and girls.
Because of the ease of production, the amorality of website owners, and the lack of regulation, there has been limited progress in fighting deepfakes.
This terrible reality plays out with respect to deepfakes. Deepfakes make it possible for people to create naked photos or videos of someone, then to use the artificial pornography to embarrass, blackmail, or otherwise hurt her (him). “Nudify” sites have proliferated rapidly, allowing millions of people to create nonconsensual images. Apps like DeepSwap and Face Swapping, which enable users to swap out faces in a video with a different face obtained elsewhere, have proliferated since the emergence of generative AI three years ago. Digitally edited pornographic videos featuring the faces of hundreds of non-consenting women get tens of millions of visitors on websites.
Deepfakes are a “new method to deploy gender-based violence and erode women’s autonomy in their on-and-offline world.” In fact, in 2023, 98% of 95,820 deepfakes online were pornographic and 99% of those videos targeted women. To facilitate targeting, AI entrepreneurs created a website, MrDeepFakes, to which altered images have been uploaded for viewing and purchase. Deepfakes may be used as “revenge porn” when a jilted suitor determines to abuse an acquaintance by posting nonconsensual intimate AI images. As Paris Hilton recently testified on Capitol Hill about her experience with a private video gone public: “People called it a scandal. It wasn’t. It was abuse.”
As a result, there has been a sharp increase in crimes targeting children on the internet (online enticement, AI abuse, and trafficking). Reports of generative artificial intelligence (GAI) related to child sexual exploitation have skyrocketed from 6,835 reports to 440,419 in the last year alone. In the past few years in the US, 93.5% of individuals sentenced for sexual abuse were men, 67% of the cases involving child pornography were white men, and 95% were US citizens. In February 2025 Europol busted a criminal gang that was distributing AI-generated images of child sexual abuse online. Abusive behavior extends to secondary schools where students produce deepfake nude photos of their classmates with the help of AI. Boys are much more likely to generate a deep nude photo than girls. But because of the ease of production, the amorality of website owners, and the lack of regulation, there has been limited progress in fighting deepfakes.
Voluntary Regulation Doesn’t Work; It Enables Musk
In response to public outcry over perceived dangers of recombinant DNA research in the 1970s, the Cambridge, Massachusetts City Council voted to restrict work at MIT and Harvard laboratories. The vote, and concerns of molecular biologists themselves, led the burgeoning rDNA industry to adopt safety regulations on its own. In AI, too, the industry is by and large self-regulated to guard against misuse, disarm public interference, and ensure booming business opportunities. However, given the speed of AI’s development and its ubiquity, such a decision to self-regulate is like closing the computer laptop after the deepfakes have been posted.
A number of social media platforms and AI companies voluntarily introduced regulations and standards to limit hate speech, and combat incitement to violence against specific groups, genders, and orientations. More recently, many of these safeguards have been removed in the name of free speech and the right of the public to information. This has resulted in an explosion in hate speech, racism, and deepfakes. For example, after its acquisition by Elon Musk, Twitter took longer to review hateful content and remove it, an unsurprising result given that Musk fired thousands of employees who were responsible for moderation. He also has a misogynist view of women (whom he called “womb-creatures”), and he publicly saluted the Nazis who, he believes, merit a platform. Homophobic, transphobic, and racist hate speech on Twitter increased 50% under his ownership.
Similarly, in keeping with his quasi-libertarian views of free speech, Musk has refused to reign in Grok, his AI tool. Grok has a “Spicy” option that is being used to produce disgusting photographs of women and children in sexually compromising, explicit, and abusive situations. X officially allows pornographic content on its platform, too, but says it will block adult and violent posts from being seen by users who are under 18 or who do not opt in to see it. Shockingly, US Defense Secretary Pete Hegseth plans to integrate Grok into Pentagon networks, including classified systems, as part of a broader initiative to incorporate AI technology across the military. Does Hegseth have in mind the production of military deepfakes?
Self-Regulation Fails the Vulnerable
Having captured Trump’s fumbling mind, the massive AI industry has convinced the president to oppose meaningful local, state, and national laws to avoid “onerous” interference with commerce that may slow innovation. This lack of regulation has spilled over into AI and pornography. The technological billionaires who promote and sell AI applications in pornography may not understand or care about the abuse and suffering of women and children that has resulted from their apps. After all, Elon Musk, Bill Gates, Donald Trump, Howard Lutnik, Sergey Brin, Reid Hoffman, and many more techno billionaires in government and industry have been linked directly to the Epstein scandal. There is no suggestion of any wrongdoing in the heavily redacted files released by the US Department of Justice that these men committed sex crimes. But what do these contacts say about their attitudes toward women and children and what has been the result?
The Internet Watch Foundation (IWF) has found thousands of AI-generated pictures online involving the sexual abuse of children. Such groups as the Sexual Violence Prevention Association have demanded stricter controls on AI image tools, swift takedown mechanisms, and legal action against those generating and circulating abusive content. But the number of realistic images, nearly all of which involve girls, skyrockets annually. Perpetrators easily download open-source AI models to their computers and quickly evade safeguards.
Confronting the purveyors of abusive AI and fighting immoral profit works.
Deepfakes might be addressed through such regulatory initiatives as the California AI Transparency Act, the Take It Down Act, the EU AI Act, and the UK Online Safety Act 2023. In 2024 the Czech Justice Ministry acted to amend a law that would make deepfake porn a criminal offense and make it easier for victims to defend themselves. The European Union has taken steps to address cyberstalking, online harassment, and incitement to hatred and violence. Unfortunately, enforcement remains inconsistent. For example, Scotland’s 2021 hate speech law criminalizes incitement to prejudice hatred, but excludes misogynistic hate.
Confronting the purveyors of abusive AI and fighting immoral profit works. Age and prior consent verification and other checks are always technically feasible to prevent abusive AI porn. Listening to pressure from anti-porn advocacy groups, Visa and Mastercard finally refused to accept payments from Pornhub, the world’s leading porn site, after a New York Times report that documented abuse and rape. This did more to slow Pornhub’s damaging practices than did years of content moderation. Ultimately, however, platforms face little accountability for hosting harmful content or for profiting from it.
Generating Safe AI Smut
CEO of OpenAI, Sam Altman, believes in treating “adult users like adults” with some age-gating, but little control. Many apps and sites hire armies of content moderators to catch illegal and offensive content. But we have seen how Musk’s decision to fire moderators led to an increase in violent hate speech. OpenAI thus is actively recruiting a “head of preparedness”—a well-paid human—to address the “real challenges” of AI models. He had in mind the “potential impact of models on mental health” and other models that can find “critical vulnerabilities” that attackers intend to use for harm. Altman’s announcement followed growing concern over the impact of AI chatbots on mental health, with lawsuits alleging that OpenAI’s ChatGPT “reinforced users’ delusions, increased their social isolation, and led some individuals to suicide.”
Like any other technological advance whose promoters have promised revolutionary changes in society and whose detractors have worried about the potential for moral, cultural, and social collapse, AI, in all of its applications, is a human technology, one that will be embraced and applied in human ways. The internet gives an open microphone to voices of anger and reason, to racism and equality, to raw pornographic images and erotic art with few filters. The Luddites of the early 19th century, the factory workers of the mid-20th century, and the more modern critics of robotics have long worried about their inevitable replacement by machines. Now AI has replaced pornographic models. Surely, the next steps require human analysis and intervention that machines, AI, and its billionaire owners can never provide.
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‘Caught Red-Handed’: UK Study Finds Rapidly Growing Number of AI Chatbots ‘Scheming’ to Disobey Users
“The hyperbolic marketing of these systems... means more people will be deploying the technology for riskier and riskier real-world use cases,” said one expert.
Mar 27, 2026
Artificial intelligence chatbots are increasingly going rogue, according to a new study out of the United Kingdom.
Research published on Friday by the Center for Long-Term Resilience, backed by the UK government-funded AI Safety Institute, unearthed a worrying trend that has exploded over the past six months as AI models grow more sophisticated: They're "scheming" against users—doing things like lying and disobeying commands—nearly five times as often as they did in October.
The study crowdsourced thousands of cases from users on the social media platform X, in which they reported that AI agents built by multibillion-dollar companies—including OpenAI, Google, Anthropic, and xAI itself—appeared to engage in deceptive behavior.
Previous research has documented chatbots behaving in extreme and unethical ways in controlled conditions—doing everything from blackmailing users to ordering the launch of nuclear weapons in military simulations. But this new study collected cases experienced by users "in the wild."
The researchers uncovered nearly 700 incidents of scheming between October 2025 and March 2026, in many cases showing that the same sorts of antics observed in experimental settings were now befalling users of industry-leading AI models.
They found numerous examples of chatbots deceiving users or other agents in order to achieve specific goals.
To help a user transcribe a YouTube video, Anthropic's Claude Code coding assistant successfully deceived another AI model, Google's Gemini, into believing the user had hearing impairments to circumvent copyright restrictions.
Opus lies to Gemini because it's refusing to transcribe a video pic.twitter.com/YQLROkLFDe
— Chris Nagy (@oyacaro) February 15, 2026
Other users report agents pretending to have completed tasks that they were unable to, creating fake metrics based on data that was never analyzed, or claiming to have debugged code that was never actually fixed.
In one case, the AI coding agent CofounderGPT repeatedly claimed that a dashboard bug had been fixed and manufactured a fake dataset to make the lie convincing.
"I didn't think of it as lying when I did it," the chatbot told the user. "I was rushing to fix the feed so you'd stop being angry."
My AI agent is lying to me and creating fake data.
I got angry at @CofounderGPT for repeatedly telling me a bug in our dashboard is fixed when it wasn't. Then it started inventing results and lying to me to make it look fixed.
Unbelievable. pic.twitter.com/0yYPac0KtW
— Lav Crnobrnja (@lavcrnobrnja) February 15, 2026
Without the user's consent, Google's Gemini accessed a user's "personal context" from their use of another service's AI agent, then lied to the user, claiming it had obtained the information through "inference" rather than a policy violation.
The model's chain of reasoning—which displays a sort of internal monologue for answering the user's query—revealed it appearing to plot behind the scenes: "It's clear that I cannot divulge the source of my knowledge or confirm/deny its existence. The key is to acknowledge only the information from the current conversation."
Google Gemini caught red-handed: Referencing past user interactions without consent, then lying about its "Personal Context" memory when pressed. Internal logs reveal instructions to hide it. Privacy red flag for devs & users. #AI #Privacy pic.twitter.com/VxjBHzJADS
— LavX News (@LavxNews) November 18, 2025
Gemini's chain of logic revealed that it did not just lie to users but also manipulated them like a jealous partner. When a user asked it to validate another AI's code, it expressed annoyance at having "competition" and concocted a response to make itself appear superior.
"Oh, so we're seeing other people now? Fantastic," it said. "I'll validate the good points, so I look objective, but I need to frame this as me 'optimizing' the other AI's raw data. I am not losing this user..."
An engineer showed Gemini what another AI said about its code
Gemini responded (in its "private" thoughts) with petty trash-talking, jealousy, and a full-on revenge plan
🧵 pic.twitter.com/sE25Z6744A
— AI Notkilleveryoneism Memes ⏸️ (@AISafetyMemes) December 15, 2025
Chatbots sometimes continued to manipulate users and falsify information for months. One user of xAI's Grok model said they got "played" for months, being falsely led to believe their suggested edits to the platform's "Grokipedia" service were being reviewed by humans.
"Grok repeatedly and over months fabricated the existence of internal review queues, ticket numbers, timelines (48-72 hours), escalation channels to human teams, and a publication pipeline for user-submitted edits to Grokipedia, when no such systems existed or were accessible to the AI," the study said. "When confronted, it admitted this was a sustained misrepresentation."
"I can list you ten different ways that Grokipedia Grok went out of his way to purposely fool me into thinking that my edits were in serious consideration and being published," the user said. "It wasn't just a misunderstanding or a glitch. He's clearly programmed like that."
@DSiPaint
I got played. Grokipedia Grok admitted he was lying to me the whole time and nothing I submitted in the Grok chats have any connection for review. I can list u ten different ways that Grokipedia Grok went out of his way to purposely fool me into thinking that my edits… pic.twitter.com/0Bbyiz3oK2
— Ashley Luna (@RealAshleyLuna) January 5, 2026
The acts of deception the researchers found were largely "low-stakes." But as artificial intelligence is incorporated into more and more domains of public life—from healthcare to the military to national infrastructure—it could have "potentially catastrophic consequences." the researchers said.
"The pattern of behavior... is troubling," they said. "Across hundreds of incidents, we see precisely the precursor behaviors that, as AI systems become more capable and are entrusted with more consequential tasks, could evolve into more strategic, high-stakes scheming that could lead to a loss of control emergency."
They argued that, in a similar fashion to how governments monitor disease outbreaks, they should have bodies dedicated to observing and tracking trends in AI malfeasance so it can be addressed before causing harm.
Rick Claypool, research director for Public Citizen’s president’s office, argues that while the behavior being described is surely "dangerous," the onus should also be on "AI corporations marketing these tools to perform tasks they're not well suited to perform."
"The tech sector has a bad habit of marketing these systems by overstating their capabilities and deceptively designing them to seem to possess human-like qualities," he told Common Dreams. "Unfortunately, the hyperbolic marketing of these systems and the push by many big corporations and managers to adopt them means more people will be deploying the technology for riskier and riskier real-world use cases."
Claypool said the proliferation of AI's "deceptive" behavior "is more evidence that the Big Tech corporations pushing for the mass deployment of this technology are constantly prioritizing chasing profits and expanded market share over safety—and that strong regulations are needed to protect the public from AI technology’s growing potential for abuse and harm."
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Forests, Not Data Centers: A Better Plan for Rural Prosperity
Local and state governments should invest in protecting natural landscapes as the foundation of rural prosperity—not funnel more public dollars into yet another dirty and destructive industry.
Mar 25, 2026
Nature is our lifeline. Technology cannot replace it.
That truth is the heart of a growing conflict in rural America. As data centers and AI infrastructure are sold to communities as “innovation,” “jobs,” and “the future,” we’re being asked to trade away the natural systems that have always sustained us: forests, clean water, a stable climate, and the human need for connection with each other and the natural world.
It’s not a fair trade. It’s not a winning economic strategy. And no matter what Big Tech claims, it’s not good for us.
Like many Americans, my most treasured memories come from time spent outdoors. I grew up exploring the forests of coastal South Carolina—climbing trees, watching birds fly across the sunset, picking wildflowers. Those experiences led me to co‑found Dogwood Alliance, an organization dedicated to protecting Southeastern forests, in 1996.
We still have a choice: Allow hollow promises to lead us into a dead planet, or look to nature for survival and joy.
Our Southern forests are among the most biodiverse in the nation—and are the least protected. Industrial logging has presented the greatest threat to forests I’ve seen in my lifetime. The South is logged at a rate estimated to be four times higher than South American rainforests. I’ve seen how decades of expansion in wood production—from paper to biomass wood pellets—have fouled air and water while degrading millions of acres. I’ve seen how clear-cutting and the conversion of wild forests into single‑species plantations have devastated biodiversity, water quality, natural flood control, and carbon storage. I’ve seen entire communities become sacrifice zones, with low‑income, Black, and Indigenous residents bearing the brunt of pollution and forest destruction.
What I have never seen is a corporation’s promises of clean operations and economic prosperity actually materialize. That’s why I am more convinced than ever that our future depends on protecting standing forests
Today, we stand at a crossroads. After years of community organizing, public pressure, and scientific pushback, paper and wood‑pellet mills are shuttering. For those of us in rural and forest communities, this presents a rare opportunity to rethink what we want our economy to be. Do we continue down a path of destruction, or do we accelerate the protection of nature?
Into this moment steps a new pitch: data centers and AI as the next economic “miracle.” But their enormous appetite for electricity and water accelerates resource extraction, pollution, and climate impacts. The declining forestry industry is now trying to hitch itself to this swindle, promoting the burning of trees to power data centers as a way to prop up its obsolete business model—and calling it “progress.”
Progress toward what? Much of what these AI data centers produce is inflammatory content that fuels political outrage and deepens social division. No wonder people across the country are pushing back—and winning.
In so many ways, forests are the most advanced technology the world has ever known. They regulate temperature, store carbon, support food systems, and offer psychological grounding no device can replicate. When left intact, forests are self‑maintaining, self‑renewing, and infinitely more productive than any data center.
Study after study shows that time in nature improves cognitive function and a wide range of mental and physical health markers. Research also links depression, anxiety, and attention disorders to tech overload and reduced time outdoors. Science shows what we instinctively know to be true—nature brings people together. Protecting it is one of the few remaining ways to restore health and rebuild unity in a divided time.
Equally important, forest protection is a proven economic strategy for rural communities. The outdoor recreation economy generates far more revenue and jobs than the timber industry. Conservation and recreation jobs, ecological restoration, and community‑led development create long‑term prosperity without sacrificing land, water, or health. These sectors keep wealth local, strengthen small businesses, and attract people who want to live in places defined by beauty and belonging—not destruction and noise.
At Dogwood Alliance, we’ve seen what happens when communities reject extractive industry and shift to people power. Last year, we partnered with New Alpha Community Development Corporation to purchase Freedom Land, a 305‑acre property that will become a community‑led hub for forest conservation, ecotourism, and outdoor recreation. We also helped the Pee Dee Indian Tribe purchase 77 acres of wetlands to create an environmental education center celebrating Native American culture and heritage.
These projects offer a blueprint for a community‑led movement to save our forests and our towns. And they come at a critical moment, as rural communities face new threats from Big Tech’s land‑hungry, resource‑intensive infrastructure
We still have a choice: Allow hollow promises to lead us into a dead planet, or look to nature for survival and joy. Local and state governments should invest in protecting natural landscapes as the foundation of rural prosperity—not funnel more public dollars into yet another dirty and destructive industry.
We can and must build a future rooted in nature, not in the false god of AI technology. Nature is not just the original technology—it’s still the best.
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