{"id":910519,"date":"2026-06-05T10:12:25","date_gmt":"2026-06-05T15:12:25","guid":{"rendered":"https:\/\/newsycanuse.com\/index.php\/2026\/06\/05\/businesses-are-declaring-war-on-ai-slop-they-are-fighting-a-losing-battle\/"},"modified":"2026-06-05T10:12:25","modified_gmt":"2026-06-05T15:12:25","slug":"businesses-are-declaring-war-on-ai-slop-they-are-fighting-a-losing-battle","status":"publish","type":"post","link":"https:\/\/newsycanuse.com\/index.php\/2026\/06\/05\/businesses-are-declaring-war-on-ai-slop-they-are-fighting-a-losing-battle\/","title":{"rendered":"Businesses are declaring war on AI slop. They are fighting a losing battle"},"content":{"rendered":"

Businesses are battling what feels like a rampant digital infestation. AI slop, a\u00a0broad\u00a0term for the endless flood of shoddy, algorithmically generated material, has spread to\u00a0nearly every\u00a0corner of the internet. Publishers are facing a\u00a0deluge of rip-off books<\/a>\u00a0and fabricated reviews. Trusted online resources for everyday answers are being inundated with the dubious wisdom of AI.\u00a0And\u2014as if that\u00a0wasn\u2019t\u00a0bad enough\u2014fake bands are infiltrating playlists.\u00a0<\/p>\n

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Worse still, some\u00a0slop has\u00a0become\u00a0practically indistinguishable\u00a0from reality, making it difficult to trust anything online. People are navigating the internet as weary detectives, constantly trying to decipher what is real and what is fake. Over half (53%) of\u00a0consumers\u00a0distrust\u00a0AI-generated search results and summaries, a 2025 survey by Gartner<\/a> found.\u00a0And most\u00a0people\u00a0(70%) are uncomfortable with AI-generated media, a separate global survey by the management consultancy Baringo\u00a0reported.\u202f\u00a0<\/p>\n

The new battleground<\/strong>\u00a0<\/h2>\n

This erosion of trust has\u00a0serious consequences\u00a0for Europe\u2019s major advertisers, retailers, media\u00a0groups,\u00a0and technology companies, many of which rely heavily on digital channels to reach consumers.\u202f\u00a0<\/p>\n

It\u2019s\u00a0cast a paranoid pall over what\u00a0are\u00a0supposed\u00a0to be engaging online experiences, explains\u00a0Publicis Groupe\u2019s Connected Media CEO,<\/a>\u00a0Niel Bornman. \u201cA significant portion of people,\u00a0particularly the younger generation,\u00a0now operate under the assumption that everything they see online is fake,\u201d he says. \u201cThis\u00a0skepticism\u00a0makes it harder for brands to\u00a0establish\u00a0genuine connections.\u00a0It\u2019s\u00a0also a lot more expensive to get people\u2019s attention.\u201d\u00a0<\/p>\n

According to Bornman, fake reviews and AI-powered search engines have become \u201cthe newest battleground\u201d for brands competing online. \u201cSome businesses have seen organic search traffic decline by between 5% and 35% as AI answer engines provide instant responses that stop users from visiting official websites,\u201d he says.\u00a0<\/p>\n

In response, brands are being pushed to spend more on pay-per-click advertising while simultaneously feeling pressure to use\u00a0AI themselves\u00a0to produce content at the scale necessary to \u201cfeed the machine\u201d and remain visible in search rankings. \u201cIt\u2019s a difficult dilemma,\u201d Bornman continues. \u201cBrands desperately want to avoid an AI-slop scandal, yet they also need to exist within these systems, appear as answers to consumer questions, and capture attention in an increasingly competitive environment.\u201d\u00a0<\/p>\n

Businesses are\u00a0walking\u00a0a fine line here.\u00a0LinkedIn<\/a> recently announced a crackdown on \u201cgeneric\u201d content that \u201clacks authenticity and originality,\u201d even as it rolled out a suite of\u00a0generative AI\u00a0features, including a \u201crewrite with AI\u201d button embedded directly into its post composer.\u00a0<\/p>\n

Th<\/strong>e authenticity crisis<\/strong>\u00a0<\/h2>\n

One industry that is\u00a0keenly aware of\u00a0these problems\u00a0is publishing.\u00a0In March, Hachette withdrew the novel\u00a0Shy Girl<\/em>\u00a0following allegations that sections of it had been generated using AI. The author denied directly using\u00a0the technology, claiming instead that an editor inserted machine-generated passages into an early draft. Semantics aside, the controversy exposed growing anxiety about the industry\u2019s ability to\u00a0identify\u00a0AI-generated material in manuscripts.\u00a0<\/p>\n

\u201cIt\u2019s the Wild West,\u201d says Dan Conway, chief executive of the Publishers Association. \u201cLarge language models are hoovering up everybody\u2019s content and using it with reckless abandon. The second a Premier League football club signs a major player, dozens of AI-generated biographies suddenly appear on Amazon<\/a>. That may sound relatively harmless, but when the same inaccuracies appear in medical or educational material, the consequences become far more serious.\u201d\u00a0<\/p>\n

Senior leaders across industries are scrambling to\u00a0contain\u00a0the damage. Substack\u2019s Chris Best warned of a coming \u201cslop future,\u201d while\u00a0YouTube\u2019s\u00a0chief executive, Neal Mohan has publicly\u00a0identified\u00a0\u201cmanaging AI slop\u201d as a major priority for\u00a0the platform\u00a0in 2026.\u202f\u00a0<\/p>\n

Yet there is little consensus about what should actually be done about it.\u00a0<\/p>\n

How to mop up the slop<\/strong>\u00a0<\/h2>\n

\u201cOne way to regulate AI slop is to make it harder to profit from. If it\u00a0can\u2019t\u00a0be\u00a0monetized, the incentive to produce it at such a relentless rate disappears,\u201d says Conway.\u00a0<\/p>\n

But a\u00a0second solution,\u00a0one that is rapidly evolving into a new market of its own, is technology designed to distinguish authentic work from machine-generated content.\u202f\u00a0<\/p>\n

Companies are investing heavily in AI-detection tools and verification systems capable of tracing where online material originates.\u00a0Pinterest has introduced labels<\/a>\u00a0for AI-generated images, while\u00a0Spotify has reportedly removed millions<\/a>\u00a0of bot-generated tracks using spam-detection systems.\u00a0<\/p>\n

\u201cThere\u2019s been an explosion in the use of AI-detection technologies,\u201d says Bornman. \u201cExecutives are asking: what does this mean for my brand? Do I need to invest in it?\u201d\u00a0<\/p>\n

This may\u00a0be\u00a0only\u00a0the beginning. From December 2026, the European Union\u2019s AI Act will require many forms of AI-generated content to include digital watermarking\u2014hidden digital markers\u00a0indicating\u00a0that the material was created using AI. More futuristic verification systems are also\u00a0emerging, including blockchain-based provenance tools capable of\u00a0maintaining\u00a0verifiable records of how digital content was created and\u00a0modified.\u00a0<\/p>\n

Some tech leaders are comparing the rise of AI verification to the emergence of cybersecurity in the early 2000s. \u201cMuch like antivirus software was designed to stop malicious programs entering a PC,\u00a0organizations\u00a0are increasingly using detection tools to filter out AI-generated content,\u201d says Mel Morris,\u00a0Candy\u00a0Crush\u00a0and\u00a0<\/em>chief executive at\u00a0Corpora.ai, an AI\u00a0research engine.\u00a0\u00a0<\/p>\n

And yet,\u00a0Morris\u00a0warns, AI verification systems\u00a0remain\u00a0fallible. \u201cJust as antivirus programs could miss countless threats while wrongly flagging harmless files, AI detection tools are often unreliable,\u201d\u00a0he\u00a0says.\u00a0<\/p>\n

\u201cThe answer to the machine may ultimately involve more machines,\u201d Conway adds. \u201cBut it\u2019s fair to say these tools won\u2019t catch everything.\u201d\u00a0<\/p>\n

The dark side of detection<\/strong>\u00a0<\/h2>\n

The problem is that AI detection is far from an exact science. Most of these tools cannot definitively\u00a0determine\u00a0whether something is human-\u00a0or machine-made; instead, they estimate the probability that content\u00a0might<\/em>\u00a0be AI-generated. Inevitably, this\u00a0creates false positives, where entirely human work can\u00a0be incorrectly\u00a0flagged.\u00a0<\/p>\n

That problem can disproportionately affect people whose writing styles fall outside conventional patterns. Wipro\u2019s global chief privacy officer, Ivana Bartoletti, is not a native English speaker. She says her writing tends to be\u00a0very\u00a0structured and concise, often relying on bullet points and short, direct sentences. When she runs her own work through AI detection systems, she says it is frequently flagged as machine-generated.\u00a0<\/p>\n

\u201cThere is a serious discrimination issue at play,\u201d she argues. \u201cPeople who are neurodivergent, non-native English speakers, or simply write in a more formulaic way are far more likely to be incorrectly identified as using AI.\u201d In hiring and corporate environments, this could lead to biased or unfair decisions, with algorithms\u00a0penalizing\u00a0people not because they used AI, but because their communication style happens to resemble it.\u00a0<\/p>\n

Then\u00a0there\u2019s\u00a0the thorny question of where acceptable AI\u00a0assistance\u00a0ends and slop begins. \u201cWhat happens if something is 5% AI-generated?\u201d\u00a0she\u00a0asks. \u201cIs that acceptable\u00a0or is it\u00a0slop? What about 50%?\u00a0It\u2019s\u00a0no longer a black-and-white issue.\u201d\u00a0<\/p>\n

Ironically, Bornman believes the systems designed to restore trust online may ultimately make the internet feel even more exhausting and suspicious. Instead of instinctively trusting what they see, users are increasingly being asked to\u00a0verify authenticity for themselves,<\/a>\u00a0turning ordinary online activity into a constant exercise in\u00a0doubt.\u202f\u00a0<\/p>\n

Read more: The death of the billboard: Amsterdam\u2019s ad crackdown is part of a much bigger European shift<\/a><\/em><\/strong><\/p>\n

\u201cAI detection and verification\u00a0make\u00a0consumers work harder to build relationships with brands, in what was previously an effortless experience,\u201d he says.\u202f\u00a0<\/p>\n

The unwinnable arms race<\/strong>\u00a0<\/h2>\n

Already, the outlines of an AI-detection arms race are beginning to\u00a0emerge. Developers are building tools that deliberately inject human-like mistakes into AI\u00a0writing or scrub away the linguistic patterns detectors associate with chatbots.\u202f\u00a0<\/p>\n

\u201cIf there was a detection technology that worked, people would simply build better AI tools to fool it,\u201d Morris says. \u201cIt\u2019s a cat-and-mouse game where both the content being generated and the tools used to detect it are powered by AI.\u201d\u00a0<\/p>\n

In the corporate world, some executives are already being coached on how to phrase earnings reports and public statements carefully enough to avoid triggering AI-powered sentiment-analysis systems searching for signs of weakness or instability.\u00a0<\/p>\n

Complicating matters further, Morris argues, is the way human writing itself is beginning to change. \u201cPeople are consuming more AI\u00a0content\u00a0and unconsciously learning to write in its style,\u201d he\u00a0says. \u201cThat will make it progressively harder for detection systems to distinguish between a person imitating AI and genuine AI output.\u201d\u00a0<\/p>\n

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\u201cAt some point, we have to move beyond the assumption that simply because something is AI-generated, it is automatically worthless\u201d<\/p>\n

Mel Morris,\u00a0Candy\u00a0Crush\u00a0and\u00a0<\/em>chief executive at\u00a0Corpora.ai<\/cite><\/p><\/blockquote>\n<\/figure>\n

One of the greatest dangers in this escalating technological arms race is the risk that authentic human work will be falsely identified as synthetic. \u201cStudents have reportedly faced disciplinary action after genuine essays were flagged as AI-generated by unreliable detection software,\u201d Morris says.\u00a0\u201cWhile writers and professionals increasingly find themselves having to prove their humanity to algorithms.\u201d\u00a0\u00a0<\/p>\n

Fighting the wrong battle?<\/strong>\u00a0<\/h2>\n

For some, the obvious solution may be to suppress or ban AI-generated material altogether. Major platforms, including Google<\/a>, are already moving to\u00a0de-emphasize\u00a0content they perceive as low-quality or mass-produced by AI systems.\u00a0<\/p>\n

But Morris argues that such approaches risk becoming blunt instruments. \u201cA binary gate is dangerous,\u201d he says. \u201cPlenty of legitimate businesses now use tools like Claude or Gemini to help build websites, draft copy or streamline workflows. The presence of AI does not automatically make information inaccurate or low-quality.\u201d\u00a0<\/p>\n

The focus therefore shouldn\u2019t be on eliminating AI from the internet altogether, he argues, but learning how to live with synthetic content without turning the web into a place where nobody trusts anything, or anyone, anymore. \u201cInstead of obsessing over whether content was created by a human or a machine, businesses should focus on whether the information itself is accurate and reliable,\u201d Morris says. \u201cAt some point, we have to move beyond the assumption that simply because something is AI-generated, it is automatically worthless.\u201d\u00a0<\/p>\n

Bartoletti agrees that detection technology alone cannot solve the world\u2019s slop problem, particularly as studies increasingly show that people struggle to distinguish AI-generated content from human-created work\u2014and often find both equally credible. \u201cWe need a combination of technological safeguards and human-centered\u00a0approaches, including education, regulation,\u00a0and\u00a0organizational\u00a0protocols,\u201d she says. \u201cThese systems are only as strong as the frameworks surrounding them.\u201d\u00a0<\/p>\n

Simon James, global VP of data science and AI at Publicis Sapient, argues that while a handful of companies may try to differentiate themselves by rejecting AI-generated content altogether, most\u00a0organizations\u00a0will continue integrating AI tools into their operations in some form.\u202f\u00a0<\/p>\n

For James, the answer lies not in state regulation but in self-regulation, with brands deciding for themselves what values they wish to defend in a slop-filled digital economy.\u202f\u00a0<\/p>\n

\u201cBy the time legislation, such as the European Union\u2019s AI Act, is fully\u00a0implemented\u00a0the\u00a0technology underpinning it may already have evolved beyond recognition,\u201d he says. \u201cI think one of the most important things is self-declaring what is generated by AI,\u00a0as opposed to\u00a0pretending\u00a0it\u2019s not, or leaving the consumer under the impression that\u00a0it might not be.\u201d\u00a0<\/p>\n

What the internet becomes in this age of AI slop will depend largely on how companies choose to respond to it. \u201cMaybe it\u2019ll finally become more intelligent, efficient and creative,\u201d says James. \u201cOr maybe, as the conspiracy theory goes, it is already dead.\u201d\u202f\u00a0<\/p>\n<\/div>\n

Read More<\/a>
\n Sam Birchall<\/p>\n","protected":false},"excerpt":{"rendered":"

Businesses are battling what feels like a rampant digital infestation. AI slop, a\u00a0broad\u00a0term for the endless flood of shoddy, algorithmically generated material, has spread to\u00a0nearly every\u00a0corner of the internet. Publishers are facing a\u00a0deluge of rip-off books\u00a0and fabricated reviews. Trusted online resources for everyday answers are being inundated with the dubious wisdom of AI.\u00a0And\u2014as if that\u00a0wasn\u2019t\u00a0bad<\/p>\n","protected":false},"author":1,"featured_media":910520,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2487,35595],"tags":[],"class_list":["post-910519","post","type-post","status-publish","format-standard","has-post-thumbnail","category-businesses","category-declaring"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/posts\/910519","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/comments?post=910519"}],"version-history":[{"count":0,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/posts\/910519\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/media\/910520"}],"wp:attachment":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/media?parent=910519"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/categories?post=910519"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/tags?post=910519"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}