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China’s AI stocks have suffered a dramatic selloff, with nearly $480 billion erased from the market as investors question whether the country’s technology boom has moved too far ahead of actual profits.

China’s artificial intelligence boom is facing its biggest financial reality check yet. A sharp selloff in Chinese technology stocks has erased an estimated $480 billion in market value, with some of the country’s most prominent AI chipmakers and robotics companies losing nearly half their value.

The downturn has hit the STAR50 index, which tracks major technology companies listed on Shanghai’s STAR Market. The index has fallen approximately 40% from its recent peak, according to an October 26 report by Reuters.

The losses mark a dramatic reversal for an industry that attracted extraordinary investor enthusiasm as China raced to develop domestic AI chips, advanced robotics and alternatives to American technology.

Companies that once saw their shares surge hundreds of percent are now experiencing steep declines as investors reassess their growth prospects. But the collapse in stock prices does not mean China’s AI industry has stopped advancing.

Chinese companies continue developing AI models, processors and robotics systems. What has changed is investors’ willingness to pay high prices for businesses whose future profits remain uncertain.

The selloff also raises questions about whether similar pressures could eventually affect American technology companies, which continue spending billions of dollars on AI infrastructure.

ALSO READ: China’s AI Industry: Key Statistics and Data (2026)

China’s AI Stocks Have Lost Nearly $480 Billion

The scale of the decline reflects how heavily investors had concentrated their money in companies associated with artificial intelligence.

China’s STAR50 index has dropped roughly 40% in less than four months, wiping out an estimated $480 billion in market capitalization.

The index includes companies involved in semiconductors, advanced computing and other strategic technologies.

Some of the sharpest losses have occurred among businesses that benefited most from the AI investment boom.

Source: Reuters, October 26, 2026. The figures cover different periods and are not directly comparable.

The declines are particularly striking given how enthusiastically investors initially welcomed several of these companies.

MetaX and Moore Threads saw their shares jump approximately 700% and 400%, respectively, during their stock market debuts in 2025.

Unitree Robotics attracted enormous demand during its initial public offering, with retail investors reportedly submitting orders worth thousands of times the shares available.

Those gains reflected expectations that China’s domestic technology companies would benefit from government support, growing AI demand and restrictions on access to American technology.

But investor expectations have changed. As share prices fell, China’s broader stock market also weakened. The CSI300 index, which tracks large companies listed in Shanghai and Shenzhen, entered bear-market territory after declining more than 20% from its June high.

The downturn suggests that the selloff is no longer limited to a small group of speculative technology companies.

Why Is China’s AI Bubble Bursting?

The correction reflects a combination of inflated valuations, concerns about profitability and uncertainty surrounding China’s economic outlook. AI stock valuations became difficult to justify.

During the boom, investors paid substantial premiums for companies expected to benefit from the rapid growth of artificial intelligence. Those expectations pushed valuations far above the earnings many businesses were generating.

According to Reuters, the STAR50 index was trading at approximately 100 times trailing earnings even after its recent decline. Earlier in the year, its valuation had approached 250 times earnings.

By comparison, the Nasdaq 100 traded at approximately 30 times earnings at the time of the report. The difference shows how much future growth investors had already priced into Chinese AI stocks.

When confidence weakened, those high valuations left little room for disappointment. AI infrastructure spending has not guaranteed profits

Developing advanced AI systems requires significant investment in computing hardware, data centers, electricity and networking equipment.

Investors initially expected suppliers of those technologies to benefit from years of rapid demand growth.

But the financial returns remain uncertain. Companies can spend billions expanding AI infrastructure without generating enough revenue to recover those costs quickly.

That uncertainty has become more important as investors demand evidence that AI-related businesses can produce sustainable profits.

U.S. technology restrictions have added pressure

China’s AI industry also faces challenges from American export restrictions. The United States has limited Chinese access to some advanced semiconductors and chipmaking technologies.

Additional trade measures could affect Chinese companies supplying equipment to international data centers.

Reuters reported that concerns about potential U.S. restrictions contributed to sharp declines in shares of optical networking suppliers Zhongji Innolight and Eoptolink.

These companies supply components used to connect processors inside high-performance computing systems. Any disruption to international sales could weaken their growth prospects.

China’s wider economic problems are affecting confidence

The AI selloff is unfolding against a difficult economic backdrop. Weak domestic demand, concerns about corporate earnings and uncertainty over economic stimulus have made investors more cautious.

The decline in the CSI300 indicates that broader market conditions are contributing to the pressure on technology stocks.

As investors reduce their exposure to riskier assets, companies with high valuations and uncertain earnings are particularly vulnerable.

China’s AI Boom Has Become a Problem for Beijing

The stock market decline is also a setback for China’s broader technology ambitions.

Beijing has made artificial intelligence, semiconductors and robotics national priorities. Its policies aim to reduce dependence on foreign technology while strengthening China’s position in advanced manufacturing.

A strong domestic stock market was expected to help finance that transition. Instead, the collapse in AI-related shares is making investors more cautious about funding technology companies.

According to Reuters’ October 26 investigation, AI-related stocks had grown to account for approximately 42% of market capitalization and 57% of trading turnover across mainland Chinese A-shares and Hong Kong H-shares, based on Goldman Sachs research.

That concentration left investors particularly exposed when technology shares began falling. The consequences could extend beyond individual shareholders.

Companies preparing initial public offerings may find it harder to attract investors. Businesses seeking additional capital may also face pressure to lower their valuations.

Hong Hao, chief investment officer at Lotus Asset Management, warned that the downturn could disrupt fundraising plans for companies hoping to list on public markets. For Beijing, this creates a difficult balance.

China wants investors to support strategically important technology businesses. But excessive speculation can produce market instability and undermine confidence. The recent selloff illustrates that tension.

ALSO READ: AI Market Concentration Statistics 2025-2026

Could China’s AI Stock Crash Spread to the United States?

China’s correction is raising concerns about the sustainability of the wider AI investment boom. American technology companies have committed enormous resources to developing advanced models, building data centers and purchasing specialized processors.

Many of those investments depend on expectations of continued growth in AI demand. The comparison between Chinese and American technology stocks is striking.

According to Reuters’ October 27 video analysis, China’s STAR50 had declined approximately 40% over four months, compared with a roughly 6% retreat in the Nasdaq. That difference suggests investors have reassessed Chinese AI valuations more aggressively.

However, it does not establish that American technology stocks will experience the same decline. The markets have different company structures, earnings profiles and exposure to government policies.

Major U.S. technology companies also generate substantial revenue from established businesses, including cloud computing, advertising and enterprise services. Nevertheless, the underlying financial question is similar: Will future AI revenue justify today’s investment?

Investors will increasingly look for evidence that companies can turn demand for AI technology into sustainable earnings. A failure to meet those expectations could trigger further corrections.

China’s AI Industry Is Not Collapsing, Even as Its Stocks Fall

The distinction between falling stock prices and technological progress is important. China continues developing AI models, semiconductor technologies and robotics systems despite the market downturn.

The country also remains committed to reducing its dependence on foreign technology. A company can lose a significant portion of its stock market value without experiencing an equivalent decline in its research capabilities or commercial operations.

Likewise, a falling share price does not necessarily indicate that its products have become less competitive.

Some analysts believe the correction could create opportunities for investors to buy shares in companies with stronger financial prospects. Others warn that valuations remain elevated.

Even after the decline, the STAR50 was trading at approximately 100 times trailing earnings, compared with roughly 30 times for the Nasdaq 100, Reuters reported.

That difference suggests Chinese technology stocks may remain vulnerable if earnings fail to meet expectations. The selloff could therefore continue even if the underlying technology sector keeps expanding.

What Happens Next?

China’s AI market correction will test whether investors remain willing to finance the country’s technology ambitions at the same pace. Three developments will be particularly important.

First, investors will watch whether AI chipmakers and infrastructure suppliers can demonstrate sustained revenue growth.

Second, U.S. trade restrictions could affect Chinese companies that depend on overseas customers, especially suppliers of data center equipment.

Third, Beijing’s response may influence whether investor confidence stabilizes or deteriorates further.

The broader global AI industry will also be watching. China’s selloff is a reminder that technological progress and financial returns do not always move together. Companies can develop increasingly capable AI systems while their investors lose money because expectations were too high.

The $480 billion decline is evidence of a major correction in China’s AI-related stock market, not proof that artificial intelligence itself has failed. That distinction will matter as investors assess whether the downturn is a temporary reset in valuations or the beginning of a longer period of financial pressure.

Tech layoffs in 2026 have affected nearly 200,000 workers as major technology companies continue to cut jobs and restructure their businesses. Amazon, Oracle, Meta, Microsoft, PayPal and Cisco are among the companies that have announced significant workforce reductions this year. 

These job cuts are linked to several factors, including cost-cutting plans, business restructuring, earlier overhiring and increased investment in artificial intelligence (AI). While some companies are reducing management roles to improve efficiency, others are shifting their budgets towards AI, cloud computing and data center infrastructure. 

However, AI is not the only reason behind the latest tech layoffs. Financial pressure and changing business priorities have also contributed to workforce reductions. This article covers the biggest tech layoffs of 2026, the number of jobs affected at major companies and the key reasons behind these workforce cuts.

ALSO READ: AI Workforce Impact Statistics – Jobs at Risk as Global Economy Reshapes

Tech Layoffs 2026

Tech layoffs in 2026 have affected thousands of employees at major technology companies. Amazon, Oracle, Meta, Microsoft and PayPal are among the companies that have announced large job cuts. The table below shows the reported number of jobs affected at each company, ranked from highest to lowest.

Biggest Tech Layoffs of 2026

1. Amazon

Amazon cut around 30,000 corporate jobs in two major rounds. The company eliminated about 14,000 positions in October 2025 and another 16,000 in January 2026.

In October 2026, Amazon made further job cuts affecting fewer than 1,000 employees, mainly in its online retail business. Workers in the United States, India and the United Kingdom were among those affected.

Amazon said the cuts would help reduce management layers, remove unnecessary processes and improve efficiency. The company is also using more AI tools, but it has not linked every job cut to AI. Its restructuring is also connected to organizational changes and earlier overhiring.

2. Oracle

Oracle cut around 21,000 jobs, reducing its workforce by about 13% during fiscal 2026, according to its annual filing. The company had approximately 141,000 employees on May 31, 2026, down from 162,000 a year earlier.

Oracle has linked some workforce reductions to its growing use of AI across its business. The company is also spending heavily on cloud computing and data centers to expand its AI services. These investments have added financial pressure as Oracle continues to grow its AI infrastructure business.

3. Meta

Meta announced plans to lay off around 8,000 employees, or about 10% of its workforce, in April 2026. The company also planned to leave 6,000 open positions unfilled.

Meta said the job cuts would help reduce costs and improve efficiency. The company plans to invest more in AI infrastructure and hire skilled workers for specialized roles. These layoffs reflect Meta’s shift in spending toward AI while reducing its workforce in other areas.

4. Microsoft

Microsoft announced 4,800 job cuts in July 2026, affecting several teams, including its Xbox gaming division. Earlier in the year, the company also reduced its workforce and offered voluntary buyouts to eligible employees. In October, Microsoft introduced another voluntary exit offer covering around 60,000 employees across the US, India, the UK and Canada.

These voluntary exit offers should be counted separately from confirmed layoffs because not every eligible employee will leave the company. Microsoft’s workforce changes are part of its efforts to reorganize teams and control costs while continuing to invest in AI and cloud computing services.

5. PayPal

PayPal plans to cut around 20% of its workforce, affecting nearly 4,800 positions over the next few years. The company is restructuring its operations to reduce costs and improve efficiency.

The plan includes removing duplicate roles, reducing management layers and using more AI tools across its business. However, these are planned job cuts, not confirmed layoffs completed in 2026. Therefore, the full figure should not be counted as jobs already lost this year.

6. Cisco

Cisco plans to cut nearly 4,000 jobs as part of its business restructuring. The company is shifting its investment toward key technology areas, including artificial intelligence (AI), cybersecurity, silicon and optics.

Despite the layoffs, Cisco will continue to invest in these growing technology sectors. The job cuts reflect the company’s decision to reduce roles in some areas while focusing more resources on technologies it considers important for future growth.

7. Uber

Uber has announced plans to cut around 3,300 jobs in September, equal to about 10% of its corporate workforce.

The company plans to reduce management layers, simplify team structures and change its global office strategy. Uber also plans to invest in drivers, merchants and autonomous vehicle technology. However, the company did not directly link the September layoffs to artificial intelligence (AI).

ALSO READ: Uber Just Gave ChatGPT to 30,000 Workers After Cutting Thousands of Jobs

8. Intuit

Intuit, the company behind TurboTax, QuickBooks and Credit Karma, announced plans to cut around 3,000 jobs, representing approximately 17% of its workforce.

The company said the layoffs would help simplify its operations and increase its focus on artificial intelligence (AI). However, Intuit clarified that AI was not the only reason for the job cuts. The company described the move as part of a broader effort to improve efficiency and simplify its organizational structure.

Tech Layoffs 2025 vs. 2026: Year-by-Year Comparison

Tech companies reported 196,573 workers affected by layoffs in 2026 as of October, according to TrueUp. In 2025, the tracker recorded 245,953 affected workers. The 2026 total remains lower, but more job cuts could be announced before the year ends.

Source: TrueUp

Tech Employees Impacted by Layoffs

As of October 27, 2026, tech layoffs have affected thousands of employees every month. March recorded the highest number of reported job cuts, with 50,404 employees impacted, followed by May with 34,684 and January with 27,523. 

Tech Layoffs declined in June before rising again in July and September. August recorded the lowest number of job cuts, with 5,606 employees affected, followed by October with 5,941 reported layoffs so far. These figures highlight the ongoing impact of workforce reductions across the technology sector in 2026.

Source: TrueUp

Why Are Tech Companies Laying Off Workers in 2026?

Several factors are behind tech layoffs in 2026. Companies are investing more in AI, cutting costs, changing team structures and adjusting to market conditions. However, AI is not the only reason for job cuts.

• Increased Investment in Artificial Intelligence: Companies such as Meta, Oracle, Cisco and Monday.com are investing more in AI tools, infrastructure and products. Some businesses are also using automation to change how work is done, which can reduce the need for certain roles.
• Cost Cutting: Many tech companies are reducing expenses and reviewing their budgets. They are cutting duplicate roles and removing extra management positions to save money. These cuts can happen even when companies continue to earn revenue and invest in new products.
• Organizational Restructuring: Companies such as Uber, Amazon and Etsy are changing their team structures, management roles and business priorities. These changes can lead to layoffs as companies reorganize their operations. Not every job cut is linked to AI or automation.
• Changing Market Conditions: Changes in customer demand and business performance are also contributing to tech layoffs. Some companies are reviewing their product plans and reducing spending on projects that no longer fit their goals. Gaming, digital services and consumer technology companies are also cutting jobs as they decide where to focus their resources.

What to Expect From Tech Layoffs in the Coming Months

Tech layoffs may continue in the coming months as companies look for ways to cut costs and improve efficiency. Many businesses are investing more in artificial intelligence (AI), cloud computing and data centers. Therefore, some companies may reduce jobs in certain teams while hiring workers for new roles.

However, AI is not the only reason for job cuts. Financial problems, business changes and earlier hiring decisions may also lead to layoffs. At the same time, demand for workers with skills in AI, cybersecurity, cloud computing and data management may continue.

The total number of tech layoffs in 2026 could rise further if more companies announce job cuts before the year ends. However, it is still unclear whether the final figure will exceed the 2025 total. For workers, learning new skills and keeping up with changes in the technology industry may help them prepare for future job opportunities.

Deepfake nude incidents in schools are becoming a growing concern worldwide. There have been reports of students using AI nudification tools to turn photographs of female classmates into fake sexual images and videos without their consent. When these images are shared on social media or messaging apps, students may face bullying, humiliation, and emotional distress.

A joint investigation by WIRED and Indicator documented 88 school-related deepfake sexual abuse cases across 28 countries, affecting more than 640 children since 2023. This 2026 tracker of deepfake nude incidents in schools examines reported cases, affected regions, examples from different countries, and how schools and authorities are responding. 

In this article, we are going to take a look at reported deepfake nude incidents in schools, the number of students affected, cases from different countries, and more. 

How Many Deepfake Nude Incidents Have Been Reported in Schools in 2026?

A joint investigation by WIRED and Indicator, published in April 2026, found 88 cases of deepfake sexual abuse linked to schools across 28 countries, affecting more than 640 children. However, these figures include cases reported since 2023 and do not show how many incidents happened in 2026 alone.

The investigation found that students, often teenage boys, were accused of using AI nudification tools to create fake nude images of their classmates. These images were then shared on social media and messaging apps, causing distress, embarrassment, and humiliation for the victims. 

However, the mentioned cases cover incidents documented since 2023, not just 2026. The investigation does not confirm how many cases occurred in 2026 specifically. The actual number could be higher because some incidents are handled privately by schools or law enforcement agencies and are never reported publicly.

ALSO READ: AI Nude Apps Are Creating a Deepfake Crisis in Schools

Reported Deepfake Nude Cases in Schools by Region

Reported school deepfake cases have been documented across several regions, highlighting the global spread of AI-generated nude images and sexual abuse targeting students. 

According to a joint investigation by WIRED and Indicator, 88 school-related deepfake sexual abuse incidents were documented across 28 countries, affecting more than 640 children since 2023. North America recorded nearly 30 reported cases, followed by more than 20 in Europe and over 10 in South America. Australia and East Asia together accounted for around 12 cases.

Source: WIRED

Deepfake Incidents in Schools Across Different Countries

The school deepfake incident tracker covers reported cases of AI-generated nude images involving students in different countries, including the United States, South Korea, and Australia. These cases show how AI tools can be used to create fake nude images of classmates without their consent. 

Pennsylvania Students Face Consequences for AI-Generated Nude Images

In Pennsylvania, two students admitted guilt in juvenile court after creating AI-generated sexual images and videos of girls. According to the WIRED and Indicator investigation, around 60 girls were identified as victims in the case. 

In March, the students were sentenced to 60 hours of community service on felony charges related to child sexual abuse material. The case shows how creating fake sexual images of classmates can lead to legal consequences, even when the images are generated using AI.

Iowa Student Speaks Out About Fake Explicit Images

In Iowa, a student was targeted with fake explicit images that raised concerns about how classmates might view her. The victim spoke about the fear that other students would associate her with the images. 

The supplied investigation does not identify the school or provide the exact date of the incident. It also does not specify whether anyone faced disciplinary action or criminal charges in this case.

New Jersey Teen Takes Legal Action Against a Nudification Service

In New Jersey, a teenage girl pursued legal action against a nudification service over the creation of fake sexual images. Her legal representatives described the emotional distress caused by the images and the fear that they could spread online and remain accessible for years. 

The investigation does not provide a confirmed total number of victims in this case. The legal action highlights how victims and their families are using the courts to challenge services that enable the creation of nonconsensual sexual images.

North America Reports Nearly 30 School Deepfake Abuse Cases

The WIRED and Indicator investigation documented cases in which students at multiple schools were allegedly targeted with AI-generated sexual images. Across North America, nearly 30 school-related deepfake sexual abuse cases had been publicly reported since 2023. 

Some cases involved dozens of alleged victims, while others affected students across more than one school. Responses varied, with some incidents leading to legal action and others raising concerns about delays in reporting or disciplinary measures. The investigation does not provide individual details for every case in this regional group.

South Korean Schools Change Yearbook Photo Policies Over Deepfake Risks

In South Korea, some schools changed their yearbook photo policies because of concerns that student photographs could be taken and used to create fake sexual images. According to the investigation, some schools gave students the option to leave their pictures out of yearbooks.

These changes were intended to reduce the risk of photographs being misused. The supplied report does not identify the schools involved or provide a confirmed number of students affected by these policy changes.

Australian School Limits Student Photos to Prevent Deepfake Misuse

An Australian school changed how it planned to display student photographs online after concerns about AI-generated deepfakes. The school said it would use alternatives such as silhouettes, side profiles, distant group photographs, and approved stock images. 

These measures aimed to reduce the risk of publicly available student photos being taken and altered using AI tools. The supplied investigation does not identify the school or link this specific policy change to a confirmed individual victim or legal case.

ALSO READ: Parents Warned That Ordinary Photos Can Be Turned Into AI Sexual Abuse Images

Oregon Teachers Protest Manipulated Images Shared Online

In Oregon, a school reportedly hired substitute teachers after regular staff called in sick to protest a social media account sharing manipulated images of teachers. The images placed staff members in false and humiliating situations. 

The report illustrates that deepfake-related abuse in schools can affect teachers as well as students. However, the supplied article does not establish that the images in this case were nude deepfakes, so the incident should be treated separately from cases involving AI-generated sexual images of students.

How Schools and Authorities Are Responding to Deepfake Incidents

Schools and authorities are taking different steps to deal with deepfake nude incidents involving students. Some schools have changed their photo policies to prevent the misuse of student pictures, while others have faced criticism for delays in reporting cases or taking action against those accused of creating fake images. Responses include school discipline, police investigations, legal action, and programmes to teach students about the risks of AI-generated sexual images.

1. Schools Are Changing Student Photo Policies

Some schools have restricted the use of student photographs on public websites and social media. Schools in South Korea and Australia have reportedly changed how they use yearbook pictures and online photos because of concerns that these images could be used to create fake nude pictures. Such steps aim to reduce the risk of photo misuse, although they cannot prevent every form of deepfake abuse.

2. Students May Face Disciplinary Action

Students accused of creating or sharing AI-generated nude images of classmates may face school disciplinary action. Depending on the circumstances, this can include suspension or other penalties. 

Schools also need to consider the safety and well-being of victims when deciding how to handle a case. The response can vary depending on the school’s policies, the evidence available, and the laws that apply.

3. Police Are Investigating Deepfake Abuse Cases

Some school deepfake incidents have led to police investigations and criminal charges. Cases involving sexual images of minors may fall under laws related to child sexual abuse material, depending on the jurisdiction and the circumstances. 

In the Pennsylvania case described by WIRED and Indicator, two students admitted guilt in juvenile court after creating AI-generated sexual images and videos of girls. The case shows that using AI to create fake images does not necessarily protect those responsible from legal consequences.

4. Victims and Families Are Taking Legal Action

Some victims and their families have turned to the courts to challenge services that allow users to create fake nude images of other people. These legal actions aim to address the harm caused by nonconsensual images and the role of nudification tools in their creation. 

However, legal options and possible outcomes differ across countries, and taking action against a service does not automatically remove every copy of an image already shared online.

5. Schools Are Increasing Student Awareness

Schools can also help prevent deepfake abuse by teaching students about consent, online safety, and the consequences of creating or sharing sexual images without permission. 

Students should know how to report an incident and where to seek help if they are targeted. Training for teachers and school administrators can also help them respond quickly, protect victims, preserve relevant evidence, and avoid actions that could cause further distress.

The US Take It Down Act Sets Rules for Removing Deepfake Images

The US Take It Down Act addresses the sharing of intimate images without a person’s consent, including certain AI-generated or digitally altered images. It requires covered online platforms to offer a way to report this content and remove qualifying images within 48 hours of a valid request. The law also addresses related criminal conduct. However, its requirements apply within the law’s scope and do not cover every website worldwide.

Removing harmful images is only one part of tackling deepfake abuse in schools. Schools also need clear ways for students to report incidents, prompt investigations, and support for those affected.

Teaching students about the harm caused by creating or sharing fake sexual images can help prevent further incidents. Schools, families, law enforcement agencies, and online platforms must also work together to limit the spread of these images and protect victims.

ALSO READ: AI Porn Statistics (2025-2030): Key Data, Trends & Facts

How Many School Deepfake Incidents Go Unreported?

The exact number of school deepfake incidents that go unreported is unknown. A joint investigation by WIRED and Indicator documented 88 school-related deepfake sexual abuse cases across 28 countries, affecting more than 640 children. However, the investigation covered publicly reported cases dating back to 2023 and does not represent the full scale of the problem.

Some incidents may never appear in news reports because schools and families choose to handle them privately or report them directly to law enforcement. In other cases, reports may lack details about the school, the number of students affected, or the actions taken by authorities. Differences in language and reporting practices also make it harder to track cases across countries.

As a result, the number of publicly documented incidents may be lower than the actual number of cases. There is not enough evidence to estimate how many school deepfake incidents go unreported or how many occurred specifically in 2026. The documented cases should therefore be treated as a record of reported incidents since 2023, rather than a complete count of school deepfake abuse worldwide.

How Students Can Report Deepfake Nude Images

Students who discover that someone has created or shared fake nude images of them should seek help as soon as possible. These images can lead to bullying, embarrassment, and emotional distress, but the person targeted is not responsible for someone else’s decision to create or share them. Students, parents, and teachers can take several steps to report the abuse and help limit the spread of the images.

• Report the content to the platform: Use the website or app’s reporting option to report fake nude images, sexual harassment, or intimate images shared without consent. Report the content on every platform where it appears.
• Save details of the post: Keep a record of the post’s URL, username, account name, date, and any threatening messages. Do not download or forward sexual images, especially those involving minors.
• Tell a trusted adult: Students should speak to a parent, teacher, school counselor, or another trusted adult who can help them report the incident and get support.
• Inform the school: Contact the school’s administration or safeguarding lead. They can investigate the incident, protect the affected student, and take steps to stop bullying or harassment.
• Contact the police if necessary: Report incidents involving threats, blackmail, repeated harassment, or sexual images of minors to the appropriate local authorities.
• Use image removal tools: The Take It Down tool can help prevent eligible intimate images taken when someone was under 18 from spreading on participating platforms. However, it cannot guarantee that images will be removed from every website.
• Do not share the images further: Avoid reposting, forwarding, or circulating the images, even to show evidence of what happened. Instead, share relevant links and account details with trusted adults, platforms, or investigators.

ALSO READ: More Children Are Finding AI-Generated Nude Images of Themselves Online

Nudify websites use search engines, social media platforms and online communities to attract visitors. According to the Institute for Strategic Dialogue (ISD), YouTube and X were the largest social media sources of traffic to the top 10 nudify websites between December 2025 and February 2026, followed by Reddit and Facebook. 

However, social media is only one part of the picture. Direct visits, search results, referral links, advertisements and Telegram bots also help users discover these services.

In this article, we are going to examine which platforms send the most traffic to nudify sites, how these websites attract visitors and why relying on multiple traffic sources can make them harder to disrupt.

ALSO READ: AI Porn Statistics (2025-2030): Key Data, Trends & Facts

How Nudify Websites Attract Users Online

Nudify websites attract users through search engines, social media platforms, online communities, advertisements and referral links. According to the Institute for Strategic Dialogue (ISD), these services appear in search results and are promoted through videos, social media posts and paid advertisements. 

Some websites also offer free trials, low-cost image generation and affiliate programmes to attract new users. Telegram bots and online forums provide additional ways to discover nudification tools and share links to related services. These methods help nudify websites reach wider audiences and maintain traffic even when individual websites, accounts or promotional posts are removed.

Which Platforms Send the Most Traffic to Nudify Sites?

YouTube and X were the largest social media sources of traffic to the top 10 Nudify websites between December 2025 and February 2026, according to the Institute for Strategic Dialogue (ISD). YouTube generated 1.82 million visits, accounting for 31.48% of the 5.789 million social media visits recorded during the period. X followed with 1.3 million visits, or 22.51%.

Reddit ranked third with 691,000 visits, representing 11.94% of the total. Facebook contributed 464,000 visits (8.02%), while Instagram generated 391,000 visits (6.76%).

Together, YouTube and X accounted for nearly 54% of the social media traffic measured in the study. The figures show how mainstream platforms can serve as routes to websites that offer tools for creating sexualized images of real people without their consent.

Social Media Traffic to the Top 10 Nudify Websites

The following table ranks the social media platforms by the number of visits attributed to them in the reported traffic data.

Source: Institute for Strategic Dialogue (ISD)

YouTube Was the Largest Source of Traffic to Nudify Sites

YouTube generated 1.82 million visits to nudify websites, accounting for 31.48% of the reported social media traffic. ISD also identified videos and tutorials that could help users discover nudification tools.

This has raise questions about how platforms moderate content that promotes services linked to nonconsensual image manipulation. However, the traffic data does not show how many visits came specifically from tutorials or promotional videos.

X Sent 1.3 Million Visits to Nudify Websites

X generated approximately 1.3 million visits to nudify websites, making it the second-largest referral source. ISD separately identified more than 5,745 direct links to commercial nudify platforms in its monitoring sample, along with 179 Telegram links in expanded URLs.

The report also identified coordinated promotional activity, including five accounts linked to one website that published more than 1,131 promotional posts between December 2025 and March 2026. These link and post counts are separate from the website traffic figures.

Reddit Generated 691,000 Visits

Reddit accounted for approximately 691,000 visits to nudify websites, ranking third in the traffic analysis. ISD’s wider research examined discussions about nonconsensual intimate imagery, AI models and image-manipulation tools.

These discussions can help users discover technologies and external services. However, the findings concern specific discussions and links, not Reddit as a whole.

Facebook Sent 464,000 Visits to Nudify Sites

Facebook generated approximately 464,000 visits to nudify websites. Separately, ISD found hundreds of advertisements promoting nudify tools across Facebook and Instagram in its analysis of Meta’s Ad Library. More than 600 identical ads were posted between April and July 2025.

This has raise questions about how effectively Meta identifies and removes advertisements promoting services associated with nonconsensual image manipulation. The advertising research covers a different period from the traffic analysis.

Instagram Generated 391,000 Visits

Instagram accounted for approximately 391,000 visits to nudify websites, placing it fifth among the listed platforms. ISD also identified advertisements promoting nudification tools on Instagram.

This shows that Instagram’s role extends beyond referral traffic. Advertisements and promotional accounts can expose users to these services, although the data does not establish how many visits resulted from advertising.

ALSO READ: Meta’s Ad System Helped Promote an AI App That Could Nudify Female Politicians

Telegram Connected Users With Nudification Tools

Telegram generated approximately 247,800 visits to nudify websites, ranking sixth in the traffic comparison. ISD’s wider research identified at least 36 dedicated nudification bots and public channels used to distribute generated content.

Two channels identified in the report had around 74,000 members each. The research also documented links between bots, open-source AI tools and other resources.

Telegram therefore serves as more than a referral source in this ecosystem. Bots can provide access to image-generation tools, while channels distribute content and links connect users with external services. These activities should be distinguished from website traffic alone.

Top Traffic Sources for Nudify Websites

Nudify websites attract visitors through direct visits, search engines, referral links, display ads and social media. According to the Institute for Strategic Dialogue (ISD), users can discover these services through Google searches, online posts, advertisements and links shared across websites and messaging platforms.

The report examined traffic to the most-visited nudify websites and found that direct visits and organic search were major sources of traffic. Other routes included referrals from external websites and display advertising.

Source: Institute for Strategic Dialogue (ISD)

Search Engines Help Users Find Nudify Websites

Search engines are one way users discover nudify websites. ISD found that organic search accounted for around 25% of traffic to the 10 most-visited websites in its analysis.

The report also found links to nudification services on the first page of Google, Bing and Yahoo results for some related searches. Articles listing nudify apps and Telegram bots provided additional ways for users to find these tools.

This means users can discover nudify websites through regular web searches without joining private groups or specialist forums. Search results can also help these services remain visible when individual websites or promotional accounts are removed.

Social Media Drives Traffic to Nudify Sites

Social media posts, videos, comments and advertisements can direct users to nudify websites. ISD’s separate analysis of social media referrals found that YouTube generated around 1.82 million visits, followed by X with 1.3 million, Reddit with 691,000 and Facebook with 464,000.

Some posts link directly to external services, while others promote image manipulation tools or encourage users to try them. ISD also identified more than 600 identical advertisements promoting nudify tools to UK users across Facebook and Instagram between April and July 2025.

Free Trials and Low Prices Attract Users

Some nudify websites offer free features or trial credits before charging for additional image generations and subscriptions. ISD reported that certain services offered image generation for as little as $1 per image.

Low prices can make these tools easier to try. Users may start with free features and pay for more generations or other options later. Some operators also use affiliate and referral programmes to attract visitors. ISD found that at least 12 of the 181 websites it examined had dedicated affiliate or referral pages in their sitemaps.

One website claimed to have paid more than $2.6 million in affiliate commissions and offered revenue shares of up to 40%. This was a claim made by the website, not an independently verified payment total.

These programmes give third parties a financial reason to promote nudify services and send new visitors to their websites.

Telegram Bots and Online Communities Spread Access

Telegram bots and online communities provide additional ways to find nudification tools. ISD identified at least 36 dedicated nudification bots, along with public channels used to share generated content and links to other services.

Users can also find these bots through Telegram searches, search engines and articles listing available tools. Reddit and other online communities host discussions about AI models, image manipulation and related services.

This means access does not depend on a single website. If a bot or service is removed, users may still find similar tools or replacement links elsewhere.

Direct Visits and Referrals Bring Users Back

Direct visits accounted for the largest share of traffic to the 10 most-visited nudify websites in ISD’s analysis. Organic search ranked second, followed by referrals from external websites.

Direct traffic can include visitors who enter a website address themselves or return to a site they have used before. Referral traffic comes from links on other websites or online services.

These sources suggest that Nudify websites can continue attracting visitors after their initial discovery. Repeat visits and links shared across different platforms can help maintain traffic even when individual promotional posts or websites are removed.

Why Nudify Websites Rely on Multiple Traffic Sources?

Nudify websites attract visitors through direct visits, search engines, referral links, social media and messaging platforms. Using several traffic sources allows these websites to reach users across different parts of the internet rather than depend on a single platform.

• Direct Visits Bring Back Existing Users: People who already know a nudify website may visit it by typing its web address or opening a saved link. This helps websites get repeat visitors without relying on search engines or social media. Regular direct visits can also show that users are familiar with the website.
• Search Engines Help Users Find Nudify Websites: Search engines help people find nudify websites when they search for AI undressing tools or image editing services. Websites that appear in relevant search results can attract new visitors. This allows them to reach people who are already looking for these tools.
• Referral Links Bring Visitors From Other Websites: Referral links direct users to Nudify websites from other sites, blogs, forums and online communities. People may find these links while reading discussions about AI image generators or related services. These referrals help websites attract visitors beyond search engine results.

• Social Media Helps Nudify Websites Reach More People: Social media posts and shared links can introduce nudify websites to new users. People may discover these sites while browsing discussions about AI tools and image editing. However, the reach of such content depends on each platform’s rules and moderation policies.
• Messaging Platforms Help Users Share Website Links: Users may share nudify website links through private messages, group chats and online communities. This can help a website reach people who might not find it through search engines. However, traffic from private messages can be difficult to track because analytics tools may not identify its original source.
• Multiple Traffic Sources Help Maintain Website Traffic: Nudify websites that rely on only one traffic source may lose visitors if that channel becomes less effective. For example, a drop in search rankings or tighter social media restrictions can reduce their reach. Traffic from other sources can help these websites continue attracting visitors despite such changes.

The growing use of AI nudification tools has made it easier to create fake nude images of real people without their consent. A photo posted on social media can be turned into a sexual image, even if the person has never posed for one. These images can spread quickly online, making it difficult for victims to protect their privacy and prevent further sharing.

The rise of AI deepfake tools has brought a difficult issue into focus. People need greater control over their digital likenesses and legal protection when someone uses them without permission.

Governments are beginning to take action against AI-generated nude images, but passing laws is only part of the challenge. Some of these laws are facing legal challenges over free speech and the limits of government authority. The dispute between Elon Musk’s xAI and Minnesota is one such case.

The outcome could influence how future laws protect people from deepfake pornography while respecting freedom of expression. It also raises questions about whether current privacy and image rights laws are strong enough to protect people whose faces and likenesses are used without their permission.

The xAI Minnesota Case Puts AI Identity Rights to the Test

Minnesota passed House File 1606 in May 2026. The law restricts websites, apps and other services from allowing users to create AI-generated nude images of real people without their consent. The law took effect on August 1, 2026.

xAI challenged the law in federal court, arguing that it violates the First Amendment, which protects freedom of speech in the United States. The company also raised concerns that the law could restrict a broad range of AI-generated images, including content created without any intention to cause harm.

In September, a federal district court refused to block the law. But on October 2, the US Court of Appeals for the Eighth Circuit temporarily stopped its enforcement while the legal challenge continues. The case remains unresolved, leaving the law’s future uncertain.

The case highlights the challenge of protecting people from AI-generated sexual images made without their consent while also respecting freedom of speech.

People should have legal protection against the unauthorised use of their faces and bodies in sexual images. At the same time, laws restricting AI-generated content need clear boundaries and must comply with constitutional protections.

Both issues deserve serious consideration. However, the growing ability to create realistic nonconsensual intimate images raises questions about whether existing laws offer enough protection to victims. The outcome of the xAI Minnesota lawsuit could help shape how courts handle these cases and how far governments can go to protect digital likeness rights.

ALSO READ: xAI Appeals Minnesota’s First-of-Its-Kind AI Nudification Ban

Consent Should Matter More Than the Technology Used

One of the biggest concerns about AI-generated nude images is that they can be created without the person’s knowledge or consent. Someone can take an ordinary photo from social media and use AI to turn it into a fake sexual image.

Unlike a real intimate photograph, deepfake pornography can show a person in a situation they were never part of. The image may look realistic enough for others to believe it is genuine, even when it is completely fabricated.

The damage can still be real. These images can harm someone’s reputation, affect personal relationships, lead to online harassment or be used to threaten and control them. Whether an image is real or AI-generated does not change the fact that it can cause serious distress.

Sharing a normal photograph should never be treated as permission to turn it into sexual content. Having a public social media account does not mean someone has agreed to let others use their face or body to create nude images.

This is why AI identity rights need to focus on consent, not just the technology used to create an image. People should have legal protection against the nonconsensual use of their likeness in sexual content, even when the images are entirely artificial.

At the same time, deepfake pornography laws need to account for other uses of AI-generated images. Satire, art, fictional characters and reporting on matters of public interest may raise different legal questions. Laws that ignore these differences could restrict legitimate expression or leave creators unsure about what is allowed.

The goal should be to protect people from the misuse of their likeness without treating every AI-generated image as illegal. Stronger digital likeness rights should give victims a way to seek help while allowing legitimate creative and public-interest uses of synthetic media.

Free Speech and Consent Are at the Centre of the AI Deepfake Debate

Freedom of speech is a key issue in the Minnesota case. AI-generated images can be used for many purposes, including art, satire and other forms of expression. A law that limits how people use AI image-generation tools could affect these activities as well as the creation of harmful content.

In its lawsuit, xAI argued that Minnesota’s law is too broad and could hold companies responsible for content protected by the US Constitution. Minnesota, on the other hand, has argued that the law is needed to address the harm caused by AI nudification tools.

The question is not simply whether deepfake pornography can hurt people. Courts must also decide whether the law protects victims without placing unnecessary limits on free speech.

This balance matters for future AI identity rights laws. If a law covers too much, courts could restrict its reach or strike it down. But if it does not go far enough, victims may have little protection against tools that make it easy to create nonconsensual intimate images.

On October 2, the US Court of Appeals for the Eighth Circuit temporarily blocked enforcement of Minnesota’s law while xAI’s legal challenge continues. This does not mean the court has made a final decision on whether the law is constitutional. That question remains unresolved.

The case could influence how courts assess future deepfake pornography laws and decide how far governments can go to prevent the misuse of people’s faces and bodies. The Reuters report on the appeals court decision provides more details on the ruling and the ongoing legal dispute.

AI Companies Should Take Responsibility for How Their Tools Are Used

The debate over AI identity rights is also about the responsibility of companies that build image-generation tools. These companies decide how their products work and what limits they place on users. They can take steps to stop people from creating sexual images of others without their consent.

For example, companies can block prompts that request explicit images of real people, improve systems that identify abusive requests and give users a simple way to report harmful content. They can also help victims request the removal of AI-generated nude images shared without their permission.

However, having safety rules is not enough. Companies need to make sure those rules work in practice. A policy against nonconsensual intimate images means little if users can easily get around it.

This does not mean AI companies should be held responsible for every image a user creates. Their legal responsibility should depend on factors such as the risks they could reasonably prevent, the safeguards they have in place and how they respond when abuse is reported.

Still, companies should not be able to ignore the harmful uses of their products. If an AI tool makes it easy to create deepfake pornography, its developers should take reasonable steps to reduce that risk.

Governments should examine whether AI platforms have effective safety measures, clear reporting systems and a proper process for handling complaints. They should also consider what legal options victims have when companies fail to meet their obligations.

These steps could help protect people from the misuse of their likenesses without relying only on broad bans that may raise concerns about freedom of speech. Effective deepfake pornography laws should consider both the responsibility of AI companies and the rights of the people affected by their tools.

The Growing Need for Stronger Digital Likeness Laws

The Minnesota case shows a growing problem with existing laws. Many rules covering privacy, identity and sexual abuse were written before AI tools could create realistic images of people in situations that never happened.

Legal protection also varies from one place to another. Some laws deal with nonconsensual intimate images, while others cover impersonation, privacy violations or the unauthorised commercial use of someone’s face. These laws do not cover every situation in the same way. The protection a victim receives may depend on where they live and where the images are created or shared.

AI-generated nude images create another challenge. Unlike stolen or leaked intimate photographs, these images may be made entirely by AI. There may be no original nude photograph to prove that someone took or shared it without permission. Yet the person shown in the image can still face harassment, threats and damage to their reputation.

Clearer digital likeness rights could help address this problem. People need practical ways to report abuse, request the removal of harmful images and take legal action when their likeness is used without consent, particularly in sexual content.

However, protecting someone’s likeness should not mean giving them control over every image or reference to their face. Such broad restrictions could affect journalism, political criticism, satire and other forms of lawful expression.

Instead, lawmakers should focus on specific forms of harm, such as deepfake pornography, deliberate impersonation and the use of someone’s identity to threaten, exploit or harass them.

The goal of stronger AI identity rights should be to protect people from abuse while respecting freedom of speech. As AI image-generation tools become more capable, laws need to address the harm these tools can cause without placing unnecessary limits on legitimate expression.

ALSO READ: Your Face and Voice May Become the Next Form of Digital Property

The Minnesota Case Could Set the Direction for AI Regulation

The outcome of the xAI Minnesota lawsuit could influence how other governments regulate AI-generated nude images and deepfake pornography. If the court upholds Minnesota’s law, it could encourage other states to introduce similar rules. However, each government would still need to consider its own laws and constitutional protections.

If the law is struck down, lawmakers may need to write narrower rules that focus on specific forms of abuse while protecting freedom of speech. Either outcome could shape future debates about AI identity rights and the legal use of people’s likenesses.

The case also shows why governments need clear laws that keep up with changes in AI technology. Legislation should explain what conduct is prohibited, which companies and services must follow the rules, and what penalties apply when those rules are broken. Victims should also be able to report abuse, request the removal of harmful content and seek legal help without facing unnecessary costs or delays.

AI companies should not wait for courts to settle every legal question before improving their safety measures. They can take steps now to prevent the creation of nonconsensual intimate images, respond to complaints and make it easier for victims to seek help.

The issue also goes beyond deepfake pornography laws. AI tools can copy a person’s voice, create fake videos and make someone appear to say or do something that never happened. These uses raise wider questions about consent, privacy and control over personal identity.

As these tools become more capable, digital likeness rights will become an increasingly important part of AI regulation. The challenge for lawmakers is to protect people from misuse without placing unnecessary limits on legitimate expression.

The Right to Control Your Digital Likeness Should Not Depend on AI Progress

The rise of AI-generated deepfake pornography has forced courts to consider how to protect people’s rights while respecting freedom of speech. Minnesota’s law and the xAI lawsuit show how difficult it can be to find the right balance when governments try to regulate new AI tools.

The answer is not to ban all AI-generated images. But freedom of speech should not be used to dismiss the harm caused by sexual images created without someone’s consent.

A better approach would give people legal protection against the misuse of their faces and bodies, require AI companies to take reasonable steps to prevent abuse and allow legitimate uses of AI for art, satire and public-interest reporting.

Courts must decide how these protections fit within existing constitutional rules. Lawmakers also need to address gaps in laws covering privacy, sexual images and digital identity.

As AI tools make it easier to create realistic images of real people, AI identity rights will become harder to ignore. The Minnesota case could help clarify where the law draws the line, but more work will be needed to protect people’s consent and dignity as the technology develops.

The principle is simple: being able to create an image of someone does not give you permission to turn their likeness into sexual content without their consent. Stronger digital likeness rights should help ensure that people have legal protection, even when the images are entirely artificial.