#workslop — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #workslop, aggregated by home.social.
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Парадокс продуктивности ИИ: как оценивать ИИ-инициативы
Можно наблюдать повсеместное внедрение ИИ в компаниях разного уровня. При этом внутри компаний растет ощущение роста внутренней производительности с внедрением ИИ-инструментов и агентов, но при этом клиенты для себя не отмечают никаких изменений. Вот один из парадоксов реальности. Флоу заявок стал красивым, ответы на вопросы улетают за минуты и кому надо, убраны коммуникативные издержки за счет сокращения ролей, на каждый процесс есть дашборд с прекрасными графиками мониторинга, но удовлетворенность клиентов и их удержание не растут.
https://habr.com/ru/articles/1087286/
#ии #искусственный_интеллект #внедрение_ии #AI_productivity_paradox #продуктивность #roi #продуктовый_менеджмент #workslop #цифровая_трансформация
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Парадокс продуктивности ИИ: как оценивать ИИ-инициативы
Можно наблюдать повсеместное внедрение ИИ в компаниях разного уровня. При этом внутри компаний растет ощущение роста внутренней производительности с внедрением ИИ-инструментов и агентов, но при этом клиенты для себя не отмечают никаких изменений. Вот один из парадоксов реальности. Флоу заявок стал красивым, ответы на вопросы улетают за минуты и кому надо, убраны коммуникативные издержки за счет сокращения ролей, на каждый процесс есть дашборд с прекрасными графиками мониторинга, но удовлетворенность клиентов и их удержание не растут.
https://habr.com/ru/articles/1087286/
#ии #искусственный_интеллект #внедрение_ии #AI_productivity_paradox #продуктивность #roi #продуктовый_менеджмент #workslop #цифровая_трансформация
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Wie effizient ist generative KI im #Arbeitsalltag wirklich?
Wenn vermeintlich professionelle Texte am Ende nur leeres Geschwafel sind, entsteht ein neuer Störfaktor im Unternehmen: #Workslop. Das Phänomen macht die Träume des Management zunichte. Schadeeeeee. 😁
#Workslop #GenerativeKI #Produktivität #Arbeitsqualität #KIMissbrauch
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Wie effizient ist generative KI im #Arbeitsalltag wirklich?
Wenn vermeintlich professionelle Texte am Ende nur leeres Geschwafel sind, entsteht ein neuer Störfaktor im Unternehmen: #Workslop. Das Phänomen macht die Träume des Management zunichte. Schadeeeeee. 😁
#Workslop #GenerativeKI #Produktivität #Arbeitsqualität #KIMissbrauch
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Wie effizient ist generative KI im #Arbeitsalltag wirklich?
Wenn vermeintlich professionelle Texte am Ende nur leeres Geschwafel sind, entsteht ein neuer Störfaktor im Unternehmen: #Workslop. Das Phänomen macht die Träume des Management zunichte. Schadeeeeee. 😁
#Workslop #GenerativeKI #Produktivität #Arbeitsqualität #KIMissbrauch
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Wie effizient ist generative KI im #Arbeitsalltag wirklich?
Wenn vermeintlich professionelle Texte am Ende nur leeres Geschwafel sind, entsteht ein neuer Störfaktor im Unternehmen: #Workslop. Das Phänomen macht die Träume des Management zunichte. Schadeeeeee. 😁
#Workslop #GenerativeKI #Produktivität #Arbeitsqualität #KIMissbrauch
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Seems like honeymoon with #AI is over and reality started hitting hard.
> Shopify CEO says employees’ ‘slop grenades’ are making more work for everyone else
> He’s now saying Shopify employees are producing unexamined emails and code with AI and not taking responsibility for the sloppy output.
> up to $9 million a year in lost productivity for an organization with 10,000 people.https://fortune.com/2026/09/17/shopify-tobias-lutke-ai-slop-grenades/
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Seems like honeymoon with #AI is over and reality started hitting hard.
> Shopify CEO says employees’ ‘slop grenades’ are making more work for everyone else
> He’s now saying Shopify employees are producing unexamined emails and code with AI and not taking responsibility for the sloppy output.
> up to $9 million a year in lost productivity for an organization with 10,000 people.https://fortune.com/2026/09/17/shopify-tobias-lutke-ai-slop-grenades/
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Seems like honeymoon with #AI is over and reality started hitting hard.
> Shopify CEO says employees’ ‘slop grenades’ are making more work for everyone else
> He’s now saying Shopify employees are producing unexamined emails and code with AI and not taking responsibility for the sloppy output.
> up to $9 million a year in lost productivity for an organization with 10,000 people.https://fortune.com/2026/09/17/shopify-tobias-lutke-ai-slop-grenades/
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Seems like honeymoon with #AI is over and reality started hitting hard.
> Shopify CEO says employees’ ‘slop grenades’ are making more work for everyone else
> He’s now saying Shopify employees are producing unexamined emails and code with AI and not taking responsibility for the sloppy output.
> up to $9 million a year in lost productivity for an organization with 10,000 people.https://fortune.com/2026/09/17/shopify-tobias-lutke-ai-slop-grenades/
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"The Workslop Tax" by Marketoonist comic / Tom Fishburne - #GenAI has been earning a reputation for #workslop: polished-looking but unhelpful low-quality content that others need to rework or correct, if anyone does. https://marketoonist.com/2026/09/the-workslop-tax.html #AI #AIslop #business #tech #oops
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"The Workslop Tax" by Marketoonist comic / Tom Fishburne - #GenAI has been earning a reputation for #workslop: polished-looking but unhelpful low-quality content that others need to rework or correct, if anyone does. https://marketoonist.com/2026/09/the-workslop-tax.html #AI #AIslop #business #tech #oops
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"The Workslop Tax" by Marketoonist comic / Tom Fishburne - #GenAI has been earning a reputation for #workslop: polished-looking but unhelpful low-quality content that others need to rework or correct, if anyone does. https://marketoonist.com/2026/09/the-workslop-tax.html #AI #AIslop #business #tech #oops
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"The Workslop Tax" by Marketoonist comic / Tom Fishburne - #GenAI has been earning a reputation for #workslop: polished-looking but unhelpful low-quality content that others need to rework or correct, if anyone does. https://marketoonist.com/2026/09/the-workslop-tax.html #AI #AIslop #business #tech #oops
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I have a 4 month teaching assistant job coming up in September and I'm absolutely dreading the use of AI by students. Last year, grading the exams was absolutely dreadful. The exams were take home, and a 1-mark question would get a whole paragraph answer. Obviously AI generated, but no way to proof it (except in the cases where the students were sloppy enough to paste in "ChatGPT said:" into their answer).
Talking to one of my cohort mates who is active in our union, we are now thinking of raising the issue inflation of work required by us because of AI slop. We have a contract negotiation round coming up soon, and so this could get VERY interesting.
#AIslop #workslop #academia #union -
I have a 4 month teaching assistant job coming up in September and I'm absolutely dreading the use of AI by students. Last year, grading the exams was absolutely dreadful. The exams were take home, and a 1-mark question would get a whole paragraph answer. Obviously AI generated, but no way to proof it (except in the cases where the students were sloppy enough to paste in "ChatGPT said:" into their answer).
Talking to one of my cohort mates who is active in our union, we are now thinking of raising the issue inflation of work required by us because of AI slop. We have a contract negotiation round coming up soon, and so this could get VERY interesting.
#AIslop #workslop #academia #union -
I have a 4 month teaching assistant job coming up in September and I'm absolutely dreading the use of AI by students. Last year, grading the exams was absolutely dreadful. The exams were take home, and a 1-mark question would get a whole paragraph answer. Obviously AI generated, but no way to proof it (except in the cases where the students were sloppy enough to paste in "ChatGPT said:" into their answer).
Talking to one of my cohort mates who is active in our union, we are now thinking of raising the issue inflation of work required by us because of AI slop. We have a contract negotiation round coming up soon, and so this could get VERY interesting.
#AIslop #workslop #academia #union -
I have a 4 month teaching assistant job coming up in September and I'm absolutely dreading the use of AI by students. Last year, grading the exams was absolutely dreadful. The exams were take home, and a 1-mark question would get a whole paragraph answer. Obviously AI generated, but no way to proof it (except in the cases where the students were sloppy enough to paste in "ChatGPT said:" into their answer).
Talking to one of my cohort mates who is active in our union, we are now thinking of raising the issue inflation of work required by us because of AI slop. We have a contract negotiation round coming up soon, and so this could get VERY interesting.
#AIslop #workslop #academia #union -
Reliance on AI results in both worse output and cognitive atrophy.
This article suggests steps to avoid both problems, but I feel very sure that we're in for more polarisation of cognitive abilities. A small minority will flourish while an overwhelming majority will not. Not good.
https://theconversation.com/offloading-work-tasks-to-ai-comes-with-a-cost-to-our-brains-289384
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Reliance on AI results in both worse output and cognitive atrophy.
This article suggests steps to avoid both problems, but I feel very sure that we're in for more polarisation of cognitive abilities. A small minority will flourish while an overwhelming majority will not. Not good.
https://theconversation.com/offloading-work-tasks-to-ai-comes-with-a-cost-to-our-brains-289384
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Reliance on AI results in both worse output and cognitive atrophy.
This article suggests steps to avoid both problems, but I feel very sure that we're in for more polarisation of cognitive abilities. A small minority will flourish while an overwhelming majority will not. Not good.
https://theconversation.com/offloading-work-tasks-to-ai-comes-with-a-cost-to-our-brains-289384
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Reliance on AI results in both worse output and cognitive atrophy.
This article suggests steps to avoid both problems, but I feel very sure that we're in for more polarisation of cognitive abilities. A small minority will flourish while an overwhelming majority will not. Not good.
https://theconversation.com/offloading-work-tasks-to-ai-comes-with-a-cost-to-our-brains-289384
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#KnowledgeByte: "#AI #Workslop" is a term used to describe AI-generated work content that appears polished on the surface but lacks the necessary substance, context, or quality to meaningfully advance a task.
It is low-effort output that often creates more work for colleagues who have to correct, edit, or redo it.
https://knowledgezone.co.in/posts/AI-Workslop-690980f082e0c0efef5321dc
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#KnowledgeByte: "#AI #Workslop" is a term used to describe AI-generated work content that appears polished on the surface but lacks the necessary substance, context, or quality to meaningfully advance a task.
It is low-effort output that often creates more work for colleagues who have to correct, edit, or redo it.
https://knowledgezone.co.in/posts/AI-Workslop-690980f082e0c0efef5321dc
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#KnowledgeByte: "#AI #Workslop" is a term used to describe AI-generated work content that appears polished on the surface but lacks the necessary substance, context, or quality to meaningfully advance a task.
It is low-effort output that often creates more work for colleagues who have to correct, edit, or redo it.
https://knowledgezone.co.in/posts/AI-Workslop-690980f082e0c0efef5321dc
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#KnowledgeByte: "#AI #Workslop" is a term used to describe AI-generated work content that appears polished on the surface but lacks the necessary substance, context, or quality to meaningfully advance a task.
It is low-effort output that often creates more work for colleagues who have to correct, edit, or redo it.
https://knowledgezone.co.in/posts/AI-Workslop-690980f082e0c0efef5321dc
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@elasticsoul Very true, there're some good use cases for LLMs, but frankly for them to work based on company-specific trained data, there first needs to be a substantial amount of prep work of that data, which has been a real mess for decades, as any good KMer out there may confirm.
Somehow, feels like we've forgotten to do the proper prep work (Usually, done by humans) thinking it'll all work out vs. GIGO, which is what we currently enjoy with #Workslop 😔
.cc @pluralistic
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@elasticsoul Very true, there're some good use cases for LLMs, but frankly for them to work based on company-specific trained data, there first needs to be a substantial amount of prep work of that data, which has been a real mess for decades, as any good KMer out there may confirm.
Somehow, feels like we've forgotten to do the proper prep work (Usually, done by humans) thinking it'll all work out vs. GIGO, which is what we currently enjoy with #Workslop 😔
.cc @pluralistic
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@elasticsoul Very true, there're some good use cases for LLMs, but frankly for them to work based on company-specific trained data, there first needs to be a substantial amount of prep work of that data, which has been a real mess for decades, as any good KMer out there may confirm.
Somehow, feels like we've forgotten to do the proper prep work (Usually, done by humans) thinking it'll all work out vs. GIGO, which is what we currently enjoy with #Workslop 😔
.cc @pluralistic
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@elasticsoul Very true, there're some good use cases for LLMs, but frankly for them to work based on company-specific trained data, there first needs to be a substantial amount of prep work of that data, which has been a real mess for decades, as any good KMer out there may confirm.
Somehow, feels like we've forgotten to do the proper prep work (Usually, done by humans) thinking it'll all work out vs. GIGO, which is what we currently enjoy with #Workslop 😔
.cc @pluralistic
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@elasticsoul Obvious mistakes, indeed, we + the planet keep paying for with our very own lives and well-being, which is why I question their so-called leadership skills.
It's starting to feel like we're heading far too fast into the slaughterhouse vs. asking for some accountbility and responsibility of their own actions that affect us all 😤😔
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@elasticsoul Obvious mistakes, indeed, we + the planet keep paying for with our very own lives and well-being, which is why I question their so-called leadership skills.
It's starting to feel like we're heading far too fast into the slaughterhouse vs. asking for some accountbility and responsibility of their own actions that affect us all 😤😔
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@elasticsoul Obvious mistakes, indeed, we + the planet keep paying for with our very own lives and well-being, which is why I question their so-called leadership skills.
It's starting to feel like we're heading far too fast into the slaughterhouse vs. asking for some accountbility and responsibility of their own actions that affect us all 😤😔
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@elasticsoul Obvious mistakes, indeed, we + the planet keep paying for with our very own lives and well-being, which is why I question their so-called leadership skills.
It's starting to feel like we're heading far too fast into the slaughterhouse vs. asking for some accountbility and responsibility of their own actions that affect us all 😤😔
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RE: https://mastodon.social/@elsua54/116839989797150322
Never forget: executives get paid millions to make obvious mistakes.
"A July 2025 MIT Media Lab report found that 95 percent of organisations saw no measurable return on their generative AI investments, despite billions in spending. Goldman Sachs reached a similar conclusion in March 2026, finding no meaningful relationship between AI adoption and productivity gains at the economy-wide level, even as 70 percent of S&P 500 management teams discussed AI on earnings calls."
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RE: https://mastodon.social/@elsua54/116839989797150322
Never forget: executives get paid millions to make obvious mistakes.
"A July 2025 MIT Media Lab report found that 95 percent of organisations saw no measurable return on their generative AI investments, despite billions in spending. Goldman Sachs reached a similar conclusion in March 2026, finding no meaningful relationship between AI adoption and productivity gains at the economy-wide level, even as 70 percent of S&P 500 management teams discussed AI on earnings calls."
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RE: https://mastodon.social/@elsua54/116839989797150322
Never forget: executives get paid millions to make obvious mistakes.
"A July 2025 MIT Media Lab report found that 95 percent of organisations saw no measurable return on their generative AI investments, despite billions in spending. Goldman Sachs reached a similar conclusion in March 2026, finding no meaningful relationship between AI adoption and productivity gains at the economy-wide level, even as 70 percent of S&P 500 management teams discussed AI on earnings calls."
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RE: https://mastodon.social/@elsua54/116839989797150322
Never forget: executives get paid millions to make obvious mistakes.
"A July 2025 MIT Media Lab report found that 95 percent of organisations saw no measurable return on their generative AI investments, despite billions in spending. Goldman Sachs reached a similar conclusion in March 2026, finding no meaningful relationship between AI adoption and productivity gains at the economy-wide level, even as 70 percent of S&P 500 management teams discussed AI on earnings calls."
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What's the best way to deal with a colleague sending me #workslop, when I know they're under enormous pressure to use LLMs for everything?
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What's the best way to deal with a colleague sending me #workslop, when I know they're under enormous pressure to use LLMs for everything?
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What's the best way to deal with a colleague sending me #workslop, when I know they're under enormous pressure to use LLMs for everything?
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What's the best way to deal with a colleague sending me #workslop, when I know they're under enormous pressure to use LLMs for everything?
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"Companies that pushed hardest to adopt generative AI are now contending with a problem the technology was supposed to prevent: their work is getting worse. Two articles published by Harvard Business Review this month describe a feedback loop in which AI-generated low-quality output degrades the information companies rely on to make decisions, a phenomenon the authors call “knowledge decay.”
The June 2026 HBR article, written by Oxford operations management professor Matthias Holweg and Babson College professor Thomas Davenport, argues that the damage goes beyond individual errors. When employees use AI to produce work that looks polished but contains mistakes or lacks substance, colleagues downstream waste time verifying, correcting, or redoing it. As those errors compound across teams and departments, the organisation’s collective knowledge base deteriorates.
The term for this low-quality AI output already has a name. BetterUp Labs and Stanford’s Social Media Lab coined “workslop” in a September 2025 HBR article to describe AI-generated content that masquerades as good work but lacks the substance to advance a task. Their survey of 1,150 US full-time workers found that 41 percent had received workslop in the preceding month, with each incident requiring an average of one hour and 56 minutes to sort out."
https://thenextweb.com/news/ai-workslop-knowledge-decay-harvard-business-review-productivity
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"Companies that pushed hardest to adopt generative AI are now contending with a problem the technology was supposed to prevent: their work is getting worse. Two articles published by Harvard Business Review this month describe a feedback loop in which AI-generated low-quality output degrades the information companies rely on to make decisions, a phenomenon the authors call “knowledge decay.”
The June 2026 HBR article, written by Oxford operations management professor Matthias Holweg and Babson College professor Thomas Davenport, argues that the damage goes beyond individual errors. When employees use AI to produce work that looks polished but contains mistakes or lacks substance, colleagues downstream waste time verifying, correcting, or redoing it. As those errors compound across teams and departments, the organisation’s collective knowledge base deteriorates.
The term for this low-quality AI output already has a name. BetterUp Labs and Stanford’s Social Media Lab coined “workslop” in a September 2025 HBR article to describe AI-generated content that masquerades as good work but lacks the substance to advance a task. Their survey of 1,150 US full-time workers found that 41 percent had received workslop in the preceding month, with each incident requiring an average of one hour and 56 minutes to sort out."
https://thenextweb.com/news/ai-workslop-knowledge-decay-harvard-business-review-productivity
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"Companies that pushed hardest to adopt generative AI are now contending with a problem the technology was supposed to prevent: their work is getting worse. Two articles published by Harvard Business Review this month describe a feedback loop in which AI-generated low-quality output degrades the information companies rely on to make decisions, a phenomenon the authors call “knowledge decay.”
The June 2026 HBR article, written by Oxford operations management professor Matthias Holweg and Babson College professor Thomas Davenport, argues that the damage goes beyond individual errors. When employees use AI to produce work that looks polished but contains mistakes or lacks substance, colleagues downstream waste time verifying, correcting, or redoing it. As those errors compound across teams and departments, the organisation’s collective knowledge base deteriorates.
The term for this low-quality AI output already has a name. BetterUp Labs and Stanford’s Social Media Lab coined “workslop” in a September 2025 HBR article to describe AI-generated content that masquerades as good work but lacks the substance to advance a task. Their survey of 1,150 US full-time workers found that 41 percent had received workslop in the preceding month, with each incident requiring an average of one hour and 56 minutes to sort out."
https://thenextweb.com/news/ai-workslop-knowledge-decay-harvard-business-review-productivity
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"Companies that pushed hardest to adopt generative AI are now contending with a problem the technology was supposed to prevent: their work is getting worse. Two articles published by Harvard Business Review this month describe a feedback loop in which AI-generated low-quality output degrades the information companies rely on to make decisions, a phenomenon the authors call “knowledge decay.”
The June 2026 HBR article, written by Oxford operations management professor Matthias Holweg and Babson College professor Thomas Davenport, argues that the damage goes beyond individual errors. When employees use AI to produce work that looks polished but contains mistakes or lacks substance, colleagues downstream waste time verifying, correcting, or redoing it. As those errors compound across teams and departments, the organisation’s collective knowledge base deteriorates.
The term for this low-quality AI output already has a name. BetterUp Labs and Stanford’s Social Media Lab coined “workslop” in a September 2025 HBR article to describe AI-generated content that masquerades as good work but lacks the substance to advance a task. Their survey of 1,150 US full-time workers found that 41 percent had received workslop in the preceding month, with each incident requiring an average of one hour and 56 minutes to sort out."
https://thenextweb.com/news/ai-workslop-knowledge-decay-harvard-business-review-productivity
