{"id":11847,"date":"2025-12-17T12:15:52","date_gmt":"2025-12-17T10:15:52","guid":{"rendered":"https:\/\/escp.eu\/thechoice\/?p=11847"},"modified":"2025-12-17T12:15:55","modified_gmt":"2025-12-17T10:15:55","slug":"how-to-prevent-ai-slop-from-taking-over-your-workplace","status":"publish","type":"post","link":"https:\/\/escp.eu\/thechoice\/tomorrow-choices\/how-to-prevent-ai-slop-from-taking-over-your-workplace\/","title":{"rendered":"How to prevent \u201cAI slop\u201d from taking over your workplace"},"content":{"rendered":"\n

For the business leaders and consultants who championed the use of artificial intelligence inside their organisations, the promise was efficiency: smoother workflows, clearer communication and more time for staff to focus on higher-value work. <\/p>\n\n\n\n

But as generative AI tools such as OpenAI\u2019s ChatGPT, Microsoft Copilot and Google\u2019s Gemini have spread through offices, that promise is curdling into frustration. <\/p>\n\n\n\n

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The key issues at stake with AI use are trust and competence. Poor use of AI results in a trust deficit that can be similar to anyone in a team or company producing low-quality content.<\/p>\n<\/blockquote>\n<\/div>\n\n\n\n

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\"\"<\/figure><\/div><\/div>\n<\/div>\n\n\n\n

What is \u2018AI slop\u2019?<\/strong><\/h2>\n\n\n\n

Rather than simplifying work and saving time, many workplaces are now awash with \u201cAI slop\u201d: machine-generated material that looks polished but is often riddled with small errors, awkward wording and unclear meaning; forcing colleagues to recheck, clarify and redo the work.<\/p>\n\n\n\n

AI slop shows up in consulting reports, audit papers, legal filings, internal updates and meeting notes \u2013 material that looks complete but often turns out to be wrong, overwritten or misleading. It extends beyond writing, with AI producing charts, presentations and marketing materials that appear credible but can prove inaccurate or incomplete.<\/p>\n\n\n\n

Benjamin Voyer, professor of behavioural science at ESCP, defines \u201cAI slop\u201d as \u201cthe rejection of an effortful path to knowledge creation and the adoption of an easy and automated path, made possible by the latest generation of large language models\u201d<\/strong>.\u00a0<\/p>\n\n\n\n

When trust breaks down<\/strong><\/h2>\n\n\n\n

For Voyer, AI slop reflects not a failure of technology but of behaviour; a cultural and psychological drift toward ease over effort, and automation over accountability. In other words, the problem is not AI itself but how people choose to use it.<\/strong>\u00a0<\/p>\n\n\n\n

The consequences are real. \u201cThe key issues at stake with AI use are trust and competence,\u201d he explains. \u201cPoor use of AI results in a trust deficit that can be similar to anyone in a team or company producing low-quality content.\u201d<\/p>\n\n\n\n

That erosion of trust can affect many workplaces, because few roles are entirely independent and most rely on collaboration and trust. But when trust is chipped away, productivity suffers, because colleagues spend more time checking, verifying and second-guessing one another\u2019s work.<\/strong><\/p>\n\n\n\n

\u201cExpertise is also at stake as it questions the core and actual competencies of team members,\u201d adds Voyer. \u201cAI makes it easier for employees to mask their areas of weakness, and that raises issues for teams to understand who can be accountable and has expertise, and on what topics, in a team.\u201d<\/p>\n\n\n\n

The psychological toll<\/strong><\/h2>\n\n\n\n

Evidence of this is already showing up in organisations in different sectors. Deloitte was forced to repay part of a government contract in Australia<\/a> after a report prepared with the help of AI contained factual mistakes, illustrating the reputational risks firms face when AI-generated work goes unchecked.<\/p>\n\n\n\n

According to research from Stanford University, US desk-based employees believe roughly 15% of the work they receive on average is AI slop, and often needs to be corrected or rewritten. The data point to a growing hidden workload: time lost not to creating, but to correcting.<\/strong><\/p>\n\n\n\n

Voyer also warns of a psychological cost: over-reliance on AI, he argues, can make work less engaging and discourage independent thinking. \u201cIf producing daily tasks suddenly becomes less engaging and low-stakes, motivation will suffer, and employees risk experiencing \u2018boreout<\/a>\u2019 \u2013 the opposite of burnout,\u201d he says.<\/p>\n\n\n\n

This risk turns the usual story about AI and productivity on its head. Instead of freeing people from low-value work, over-reliance on AI can make tasks unstimulating, creating a cycle of checking and fixing what machines have already produced.<\/strong><\/p>\n\n\n\n

The result is not greater efficiency but more work of a different kind: digital tasks created, ironically, by the very tools meant to save time.<\/p>\n\n\n\n

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AI makes it easier for employees to mask their areas of weakness, and that raises issues for teams to understand who can be accountable and has expertise, and on what topics, in a team.<\/p>\n<\/blockquote>\n\n\n\n

How managers can respond <\/strong><\/h2>\n\n\n\n

So what can be done about this? Managers, Voyer argues, need to harness AI\u2019s productivity gains without letting its use erode the quality of their teams\u2019 work. And he offers a way to do exactly that.<\/p>\n\n\n\n

\u201cInvite individuals in teams to offer two versions of each document they work on. Their own version, and their \u2018best\u2019 AI version. Then critically discuss the work in a team,\u201d he says. <\/p>\n\n\n\n

The goal, he suggests, is to normalise AI use rather than police it.<\/strong> Many employees are already using generative AI without disclosing it, largely because company rules remain unclear or inconsistent. This can lead staff to breach policy without realising, or to expose sensitive data through unapproved tools.\u00a0<\/p>\n\n\n\n

Voyer says his approach, by contrast, has two advantages. \u201cThis immediately removes suspicion of using AI, because it is accepted and part of the discussion. Then it stimulates people to do better than AI, not the least by criticising outputs.\u201d <\/p>\n\n\n\n

The human edge <\/strong><\/h2>\n\n\n\n

Looking ahead, Voyer believes the rise of AI slop will force organisations to rethink how work is valued. \u201cTo me, it will help recategorise tasks into high and low value ones,\u201d he says. \u201cLow-value tasks should be done by AI, as they will be done in a faster and cheaper way. High-value tasks will also benefit from the research and synthesis power of AI.\u201d<\/strong>\u00a0\u00a0<\/p>\n\n\n\n

In other words, AI slop could prompt a return to human strengths like creativity, critical thinking and collaboration.<\/p>\n\n\n\n

In this view, the spread of AI slop could also force organisations to define more clearly which tasks can be automated and which rely on genuinely creative thinking. \u201cDivergent thinking remains in the realm of human intelligence,\u201d Voyer says. <\/p>\n\n\n\n

The best defence against AI slop, he argues, is not tighter control but open use, with teams willing to question, compare and improve on what machines produce. Preventing AI slop is not about rejecting technology, but reclaiming responsibility for how it is used.<\/strong><\/p>\n\n\n\n

That, Voyer suggests, is how efficiency becomes more than a promise.<\/p>\n","protected":false},"excerpt":{"rendered":"

Generative AI can make work faster and easier, but it also risks lowering its quality. ESCP professor Benjamin Voyer explores how teams can use AI without letting standards slip.<\/p>\n","protected":false},"author":1,"featured_media":11853,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[14],"tags":[126,25],"class_list":["post-11847","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tomorrow-choices","tag-artificial-intelligence","tag-future-of-work","category-14","description-off"],"acf":[],"yoast_head":"\nHow to prevent \u201cAI slop\u201d from taking over your workplace - The Choice by ESCP<\/title>\n<meta name=\"description\" content=\"Gen AI can make work faster and easier, but it also risks lowering its quality. 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