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#futureofwork — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #futureofwork, aggregated by home.social.

  1. The problem with the way most businesses are run is that they are designed to quash innovation – no matter how much they protest otherwise. #ChrisBarez-Brown has a solution, but it’s messy. We review Shine: the-agency-review.com/shine-su @BarezBrown #employees #futureofwork #business

  2. The Great Reskilling Initiative is accelerating change in how organizations and employees approach skills. This article outlines the trends, ROI considerations, and practical steps HR and business leaders can implement to build a resilient workforce. Read more: wix.to/yMwBzNd





  3. The Great Reskilling Initiative is accelerating change in how organizations and employees approach skills. This article outlines the trends, ROI considerations, and practical steps HR and business leaders can implement to build a resilient workforce. Read more: wix.to/yMwBzNd

    #HR
    #Reskilling
    #FutureOfWork
    #TalentDevelopment
    #OrganizationalChange

  4. The Great Reskilling Initiative is accelerating change in how organizations and employees approach skills. This article outlines the trends, ROI considerations, and practical steps HR and business leaders can implement to build a resilient workforce. Read more: wix.to/yMwBzNd

    #HR
    #Reskilling
    #FutureOfWork
    #TalentDevelopment
    #OrganizationalChange

  5. The Great Reskilling Initiative is accelerating change in how organizations and employees approach skills. This article outlines the trends, ROI considerations, and practical steps HR and business leaders can implement to build a resilient workforce. Read more: wix.to/yMwBzNd

    #HR
    #Reskilling
    #FutureOfWork
    #TalentDevelopment
    #OrganizationalChange

  6. The Great Reskilling Initiative is accelerating change in how organizations and employees approach skills. This article outlines the trends, ROI considerations, and practical steps HR and business leaders can implement to build a resilient workforce. Read more: wix.to/yMwBzNd

    #HR
    #Reskilling
    #FutureOfWork
    #TalentDevelopment
    #OrganizationalChange

  7. Working with multiple agents at the same time is like playing multiple chess games simultaneously. Not for the faint of heart.

    #agent #futureOfWork #AI

  8. AI's Organisational Shockwave: Beyond Tool Adoption to Structural Realignment

    AI is changing how companies work, affecting middle managers and requiring new AI leadership roles. Learn how businesses are restructuring for AI.

    #AI, #CompanyStructure, #MiddleManagement, #FutureOfWork, #AILeadership

    newsletter.tf/ai-company-struc

  9. Thinking Machines Lab announced research preview of "interaction models", which was trained from-scratch for real-time multimodal collaboration, 200ms micro-turns, audio+video+text+tools concurrent. Their bet: today's chat UX fits "answering inference", not collaboration, so capable AI defaults to autonomous use and looks like labor substitution. Could we change the debate by changing the UI/UX?

    benjaminhan.net/posts/20260512

    #AI #HumanInTheLoop #Multimodal #HCI #FutureOfWork

  10. New on the IT Guy Show!

    AI is everywhere and so is the fear that it's coming for your job. But the real story is more interesting than that!

    I sat down with returning guest Karl Abbott to dig into his article "AI Didn't Replace My Work. It Changed How I Work." Karl's take isn't doom and gloom. It's actually kind of refreshing.

    If you've ever felt uneasy about where AI fits into your work, this one's for you.

    youtu.be/bvhfBVEGjho
    #AI #FutureOfWork #Tech #Linux #OpenSource #ITGuyShow

  11. How much of your job is actually AI-driven?

    Our poll shows:
    50% use AI for some tasks
    38% rely on it heavily
    13% are mostly manual
    0% said no AI at all

    AI is everywhere, but most teams are layering it in, not going all in.

    So what do you still not trust AI to handle?

    #InApp #ArtificialIntelligence #AIAtWork #FutureOfWork #AIAdoption #AIProductivity #WorkAutomation #AIAutomation #GenerativeAI #DigitalTransformation

  12. How much of your job is actually AI-driven?

    Our poll shows:
    50% use AI for some tasks
    38% rely on it heavily
    13% are mostly manual
    0% said no AI at all

    AI is everywhere, but most teams are layering it in, not going all in.

    So what do you still not trust AI to handle?

    #InApp #ArtificialIntelligence #AIAtWork #FutureOfWork #AIAdoption #AIProductivity #WorkAutomation #AIAutomation #GenerativeAI #DigitalTransformation

  13. How much of your job is actually AI-driven?

    Our poll shows:
    50% use AI for some tasks
    38% rely on it heavily
    13% are mostly manual
    0% said no AI at all

    AI is everywhere, but most teams are layering it in, not going all in.

    So what do you still not trust AI to handle?

    #InApp #ArtificialIntelligence #AIAtWork #FutureOfWork #AIAdoption #AIProductivity #WorkAutomation #AIAutomation #GenerativeAI #DigitalTransformation

  14. How much of your job is actually AI-driven?

    Our poll shows:
    50% use AI for some tasks
    38% rely on it heavily
    13% are mostly manual
    0% said no AI at all

    AI is everywhere, but most teams are layering it in, not going all in.

    So what do you still not trust AI to handle?

    #InApp #ArtificialIntelligence #AIAtWork #FutureOfWork #AIAdoption #AIProductivity #WorkAutomation #AIAutomation #GenerativeAI #DigitalTransformation

  15. How much of your job is actually AI-driven?

    Our poll shows:
    50% use AI for some tasks
    38% rely on it heavily
    13% are mostly manual
    0% said no AI at all

    AI is everywhere, but most teams are layering it in, not going all in.

    So what do you still not trust AI to handle?

    #InApp #ArtificialIntelligence #AIAtWork #FutureOfWork #AIAdoption #AIProductivity #WorkAutomation #AIAutomation #GenerativeAI #DigitalTransformation

  16. Robo-chefs will not take 80 percent of jobs next year. Human food made by human hands is *chefs kiss* cybersecuritysanity.com/?p=718 #AI #futureofwork #scifi #authors

  17. CW: Long Read / Rant Warning A response regarding the exhausting narrative that AI is dumbing us down and about to replace us...

    mastodon.social/@h4ckernews/11

    seangoedecke.com/software-engi

    My fuc..... response.

    Firstly, comparing the arduousness of manual labor to that of intellectual work makes no sense. I can understand the overlap in principle, but not in consequence. For a start, the secondary sector is much more Taylorized (Fordized if you want), then the living conditions are much lower. And finally, the activity is much more arduous for the body and the mind than in the tertiary or quaternary sector (software eng.).

    Talking about the loss of theoretical and practical knowledge regarding the use of AI or not is also something I would nuance. Yes, he or she who no longer codes loses in skills, but not so much in knowledge. Reflexes change, review management changes. The coordination of a project changes. But to go from there to saying that the person who no longer codes loses in knowledge is a shortcut which, in addition to being limiting, is fallacious. The engineer who no longer codes has issues with reflexes. In no case issues with understanding the code. And that is where I would put a nuance. The eng. always knows where to look for information, build their project, structure it.

    From a practical point of view, they will write fewer lines, but in exchange, they will allow for better planning. They will certainly be less up to date on the use of a function, but they will be able to explain how the function must be encapsulated, and everything relating to micro-services or monoliths. In no way should AI make a decision. If you let it do so, you lose everything and gain an incommensurable technical debt.
    Defend yourselves !!!! Explain to the paper-pushers that their AI is not going to succeed in explaining why such a technology is better for their project. The engineer or the architect will take everything into account, from OOP to the ultimate spec lost in the very depths of the JAVA doc regarding the Floating-Point Remainder Operator and why it is important. Calculate the cost of a bad operator choice in 5 years and tell your paper-pusher: "Do you still want the AI to manage your project in OCaml?"

    AI is useful, I am not saying the contrary, but there is clearly a fundamental difference between a tool that makes decisions that have consequences and a secondary sector worker who uses an excavator instead of a shovel... (in both cases, he works in the cold, his pay is the same, but he kills his back less). He remains the master of his actions... Whereas the AI... there is a fabulation of domination and power and a dramatic misunderstanding. Who is responsible for the choice? The AI will never substitute itself for the responsible person (it's not me Madam Judge, it's gpt 8 that didn't pay attention that passwords must be hashed in Argon2 and not in SHA-1... it was in its .md though...)

    So no, software engineers and architects will not be replaced, unless the statistical paper-pushers who calculate in lines of code spawned per hour assume the service interruptions, the maintenance and production release costs.

    Today, everyone swears only by Claude Code and other "magical" crayfish supposed to do "everything" in our place. The result? They generate with pleasure all the bullshit that maintainers are desperately trying to protect themselves from: obese and incomprehensible PRs, impossible to reproduce bug reports, and feature additions that outright break the API because the tool mixes up terminologies without understanding the business domain of the project. I've seen AI proposals that didn't even respect the Single Responsibility Principle (SRP)... the basics!
    So yes, this machine swallows docs by the kilometer. It spits out text with an incredible and fascinating aplomb (like the sexist boss who wants to make believe he knows your job). But it is plausible, never exact. And that is the whole difference with an eng.: instead of coding blindly, the human analyzes the system, the dependencies, the architecture, the production structure... the specificities... then finally decides, and makes the architectural decision, before delegating to the AI the drafting of the Slack message to explain to the team why we are not going to import such a bloated library just for the three features we need.

    Pisses me off in the end :D

    #HackerNews
    #softwareengineering
    #careerchange
    #techindustry
    #futureofwork
    #softwareengineering
    #Tech
    #AIHype
    #Architecture
    #DevLife

  18. CW: Long Read / Rant Warning A response regarding the exhausting narrative that AI is dumbing us down and about to replace us...

    mastodon.social/@h4ckernews/11

    seangoedecke.com/software-engi

    My fuc..... response.

    Firstly, comparing the arduousness of manual labor to that of intellectual work makes no sense. I can understand the overlap in principle, but not in consequence. For a start, the secondary sector is much more Taylorized (Fordized if you want), then the living conditions are much lower. And finally, the activity is much more arduous for the body and the mind than in the tertiary or quaternary sector (software eng.).

    Talking about the loss of theoretical and practical knowledge regarding the use of AI or not is also something I would nuance. Yes, he or she who no longer codes loses in skills, but not so much in knowledge. Reflexes change, review management changes. The coordination of a project changes. But to go from there to saying that the person who no longer codes loses in knowledge is a shortcut which, in addition to being limiting, is fallacious. The engineer who no longer codes has issues with reflexes. In no case issues with understanding the code. And that is where I would put a nuance. The eng. always knows where to look for information, build their project, structure it.

    From a practical point of view, they will write fewer lines, but in exchange, they will allow for better planning. They will certainly be less up to date on the use of a function, but they will be able to explain how the function must be encapsulated, and everything relating to micro-services or monoliths. In no way should AI make a decision. If you let it do so, you lose everything and gain an incommensurable technical debt.
    Defend yourselves !!!! Explain to the paper-pushers that their AI is not going to succeed in explaining why such a technology is better for their project. The engineer or the architect will take everything into account, from OOP to the ultimate spec lost in the very depths of the JAVA doc regarding the Floating-Point Remainder Operator and why it is important. Calculate the cost of a bad operator choice in 5 years and tell your paper-pusher: "Do you still want the AI to manage your project in OCaml?"

    AI is useful, I am not saying the contrary, but there is clearly a fundamental difference between a tool that makes decisions that have consequences and a secondary sector worker who uses an excavator instead of a shovel... (in both cases, he works in the cold, his pay is the same, but he kills his back less). He remains the master of his actions... Whereas the AI... there is a fabulation of domination and power and a dramatic misunderstanding. Who is responsible for the choice? The AI will never substitute itself for the responsible person (it's not me Madam Judge, it's gpt 8 that didn't pay attention that passwords must be hashed in Argon2 and not in SHA-1... it was in its .md though...)

    So no, software engineers and architects will not be replaced, unless the statistical paper-pushers who calculate in lines of code spawned per hour assume the service interruptions, the maintenance and production release costs.

    Today, everyone swears only by Claude Code and other "magical" crayfish supposed to do "everything" in our place. The result? They generate with pleasure all the bullshit that maintainers are desperately trying to protect themselves from: obese and incomprehensible PRs, impossible to reproduce bug reports, and feature additions that outright break the API because the tool mixes up terminologies without understanding the business domain of the project. I've seen AI proposals that didn't even respect the Single Responsibility Principle (SRP)... the basics!
    So yes, this machine swallows docs by the kilometer. It spits out text with an incredible and fascinating aplomb (like the sexist boss who wants to make believe he knows your job). But it is plausible, never exact. And that is the whole difference with an eng.: instead of coding blindly, the human analyzes the system, the dependencies, the architecture, the production structure... the specificities... then finally decides, and makes the architectural decision, before delegating to the AI the drafting of the Slack message to explain to the team why we are not going to import such a bloated library just for the three features we need.

    Pisses me off in the end :D

    #HackerNews
    #softwareengineering
    #careerchange
    #techindustry
    #futureofwork
    #softwareengineering
    #Tech
    #AIHype
    #Architecture
    #DevLife

  19. CW: Long Read / Rant Warning A response regarding the exhausting narrative that AI is dumbing us down and about to replace us...

    mastodon.social/@h4ckernews/11

    seangoedecke.com/software-engi

    My fuc..... response.

    Firstly, comparing the arduousness of manual labor to that of intellectual work makes no sense. I can understand the overlap in principle, but not in consequence. For a start, the secondary sector is much more Taylorized (Fordized if you want), then the living conditions are much lower. And finally, the activity is much more arduous for the body and the mind than in the tertiary or quaternary sector (software eng.).

    Talking about the loss of theoretical and practical knowledge regarding the use of AI or not is also something I would nuance. Yes, he or she who no longer codes loses in skills, but not so much in knowledge. Reflexes change, review management changes. The coordination of a project changes. But to go from there to saying that the person who no longer codes loses in knowledge is a shortcut which, in addition to being limiting, is fallacious. The engineer who no longer codes has issues with reflexes. In no case issues with understanding the code. And that is where I would put a nuance. The eng. always knows where to look for information, build their project, structure it.

    From a practical point of view, they will write fewer lines, but in exchange, they will allow for better planning. They will certainly be less up to date on the use of a function, but they will be able to explain how the function must be encapsulated, and everything relating to micro-services or monoliths. In no way should AI make a decision. If you let it do so, you lose everything and gain an incommensurable technical debt.
    Defend yourselves !!!! Explain to the paper-pushers that their AI is not going to succeed in explaining why such a technology is better for their project. The engineer or the architect will take everything into account, from OOP to the ultimate spec lost in the very depths of the JAVA doc regarding the Floating-Point Remainder Operator and why it is important. Calculate the cost of a bad operator choice in 5 years and tell your paper-pusher: "Do you still want the AI to manage your project in OCaml?"

    AI is useful, I am not saying the contrary, but there is clearly a fundamental difference between a tool that makes decisions that have consequences and a secondary sector worker who uses an excavator instead of a shovel... (in both cases, he works in the cold, his pay is the same, but he kills his back less). He remains the master of his actions... Whereas the AI... there is a fabulation of domination and power and a dramatic misunderstanding. Who is responsible for the choice? The AI will never substitute itself for the responsible person (it's not me Madam Judge, it's gpt 8 that didn't pay attention that passwords must be hashed in Argon2 and not in SHA-1... it was in its .md though...)

    So no, software engineers and architects will not be replaced, unless the statistical paper-pushers who calculate in lines of code spawned per hour assume the service interruptions, the maintenance and production release costs.

    Today, everyone swears only by Claude Code and other "magical" crayfish supposed to do "everything" in our place. The result? They generate with pleasure all the bullshit that maintainers are desperately trying to protect themselves from: obese and incomprehensible PRs, impossible to reproduce bug reports, and feature additions that outright break the API because the tool mixes up terminologies without understanding the business domain of the project. I've seen AI proposals that didn't even respect the Single Responsibility Principle (SRP)... the basics!
    So yes, this machine swallows docs by the kilometer. It spits out text with an incredible and fascinating aplomb (like the sexist boss who wants to make believe he knows your job). But it is plausible, never exact. And that is the whole difference with an eng.: instead of coding blindly, the human analyzes the system, the dependencies, the architecture, the production structure... the specificities... then finally decides, and makes the architectural decision, before delegating to the AI the drafting of the Slack message to explain to the team why we are not going to import such a bloated library just for the three features we need.

    Pisses me off in the end :D

    #HackerNews
    #softwareengineering
    #careerchange
    #techindustry
    #futureofwork
    #softwareengineering
    #Tech
    #AIHype
    #Architecture
    #DevLife

  20. CW: Long Read / Rant Warning A response regarding the exhausting narrative that AI is dumbing us down and about to replace us...

    mastodon.social/@h4ckernews/11

    seangoedecke.com/software-engi

    My fuc..... response.

    Firstly, comparing the arduousness of manual labor to that of intellectual work makes no sense. I can understand the overlap in principle, but not in consequence. For a start, the secondary sector is much more Taylorized (Fordized if you want), then the living conditions are much lower. And finally, the activity is much more arduous for the body and the mind than in the tertiary or quaternary sector (software eng.).

    Talking about the loss of theoretical and practical knowledge regarding the use of AI or not is also something I would nuance. Yes, he or she who no longer codes loses in skills, but not so much in knowledge. Reflexes change, review management changes. The coordination of a project changes. But to go from there to saying that the person who no longer codes loses in knowledge is a shortcut which, in addition to being limiting, is fallacious. The engineer who no longer codes has issues with reflexes. In no case issues with understanding the code. And that is where I would put a nuance. The eng. always knows where to look for information, build their project, structure it.

    From a practical point of view, they will write fewer lines, but in exchange, they will allow for better planning. They will certainly be less up to date on the use of a function, but they will be able to explain how the function must be encapsulated, and everything relating to micro-services or monoliths. In no way should AI make a decision. If you let it do so, you lose everything and gain an incommensurable technical debt.
    Defend yourselves !!!! Explain to the paper-pushers that their AI is not going to succeed in explaining why such a technology is better for their project. The engineer or the architect will take everything into account, from OOP to the ultimate spec lost in the very depths of the JAVA doc regarding the Floating-Point Remainder Operator and why it is important. Calculate the cost of a bad operator choice in 5 years and tell your paper-pusher: "Do you still want the AI to manage your project in OCaml?"

    AI is useful, I am not saying the contrary, but there is clearly a fundamental difference between a tool that makes decisions that have consequences and a secondary sector worker who uses an excavator instead of a shovel... (in both cases, he works in the cold, his pay is the same, but he kills his back less). He remains the master of his actions... Whereas the AI... there is a fabulation of domination and power and a dramatic misunderstanding. Who is responsible for the choice? The AI will never substitute itself for the responsible person (it's not me Madam Judge, it's gpt 8 that didn't pay attention that passwords must be hashed in Argon2 and not in SHA-1... it was in its .md though...)

    So no, software engineers and architects will not be replaced, unless the statistical paper-pushers who calculate in lines of code spawned per hour assume the service interruptions, the maintenance and production release costs.

    Today, everyone swears only by Claude Code and other "magical" crayfish supposed to do "everything" in our place. The result? They generate with pleasure all the bullshit that maintainers are desperately trying to protect themselves from: obese and incomprehensible PRs, impossible to reproduce bug reports, and feature additions that outright break the API because the tool mixes up terminologies without understanding the business domain of the project. I've seen AI proposals that didn't even respect the Single Responsibility Principle (SRP)... the basics!
    So yes, this machine swallows docs by the kilometer. It spits out text with an incredible and fascinating aplomb (like the sexist boss who wants to make believe he knows your job). But it is plausible, never exact. And that is the whole difference with an eng.: instead of coding blindly, the human analyzes the system, the dependencies, the architecture, the production structure... the specificities... then finally decides, and makes the architectural decision, before delegating to the AI the drafting of the Slack message to explain to the team why we are not going to import such a bloated library just for the three features we need.

    Pisses me off in the end :D

    #HackerNews
    #softwareengineering
    #careerchange
    #techindustry
    #futureofwork
    #softwareengineering
    #Tech
    #AIHype
    #Architecture
    #DevLife

  21. CW: Long Read / Rant Warning A response regarding the exhausting narrative that AI is dumbing us down and about to replace us...

    mastodon.social/@h4ckernews/11

    seangoedecke.com/software-engi

    My fuc..... response.

    Firstly, comparing the arduousness of manual labor to that of intellectual work makes no sense. I can understand the overlap in principle, but not in consequence. For a start, the secondary sector is much more Taylorized (Fordized if you want), then the living conditions are much lower. And finally, the activity is much more arduous for the body and the mind than in the tertiary or quaternary sector (software eng.).

    Talking about the loss of theoretical and practical knowledge regarding the use of AI or not is also something I would nuance. Yes, he or she who no longer codes loses in skills, but not so much in knowledge. Reflexes change, review management changes. The coordination of a project changes. But to go from there to saying that the person who no longer codes loses in knowledge is a shortcut which, in addition to being limiting, is fallacious. The engineer who no longer codes has issues with reflexes. In no case issues with understanding the code. And that is where I would put a nuance. The eng. always knows where to look for information, build their project, structure it.

    From a practical point of view, they will write fewer lines, but in exchange, they will allow for better planning. They will certainly be less up to date on the use of a function, but they will be able to explain how the function must be encapsulated, and everything relating to micro-services or monoliths. In no way should AI make a decision. If you let it do so, you lose everything and gain an incommensurable technical debt.
    Defend yourselves !!!! Explain to the paper-pushers that their AI is not going to succeed in explaining why such a technology is better for their project. The engineer or the architect will take everything into account, from OOP to the ultimate spec lost in the very depths of the JAVA doc regarding the Floating-Point Remainder Operator and why it is important. Calculate the cost of a bad operator choice in 5 years and tell your paper-pusher: "Do you still want the AI to manage your project in OCaml?"

    AI is useful, I am not saying the contrary, but there is clearly a fundamental difference between a tool that makes decisions that have consequences and a secondary sector worker who uses an excavator instead of a shovel... (in both cases, he works in the cold, his pay is the same, but he kills his back less). He remains the master of his actions... Whereas the AI... there is a fabulation of domination and power and a dramatic misunderstanding. Who is responsible for the choice? The AI will never substitute itself for the responsible person (it's not me Madam Judge, it's gpt 8 that didn't pay attention that passwords must be hashed in Argon2 and not in SHA-1... it was in its .md though...)

    So no, software engineers and architects will not be replaced, unless the statistical paper-pushers who calculate in lines of code spawned per hour assume the service interruptions, the maintenance and production release costs.

    Today, everyone swears only by Claude Code and other "magical" crayfish supposed to do "everything" in our place. The result? They generate with pleasure all the bullshit that maintainers are desperately trying to protect themselves from: obese and incomprehensible PRs, impossible to reproduce bug reports, and feature additions that outright break the API because the tool mixes up terminologies without understanding the business domain of the project. I've seen AI proposals that didn't even respect the Single Responsibility Principle (SRP)... the basics!
    So yes, this machine swallows docs by the kilometer. It spits out text with an incredible and fascinating aplomb (like the sexist boss who wants to make believe he knows your job). But it is plausible, never exact. And that is the whole difference with an eng.: instead of coding blindly, the human analyzes the system, the dependencies, the architecture, the production structure... the specificities... then finally decides, and makes the architectural decision, before delegating to the AI the drafting of the Slack message to explain to the team why we are not going to import such a bloated library just for the three features we need.

    Pisses me off in the end :D

    #HackerNews
    #softwareengineering
    #careerchange
    #techindustry
    #futureofwork
    #softwareengineering
    #Tech
    #AIHype
    #Architecture
    #DevLife

  22. AI dictation tools and vibe coding platforms are changing office culture fast.

    Some startup leaders say future workplaces may sound “more like a sales floor” as employees increasingly talk to AI assistants instead of typing.

    Would you work in a voice-first office?

    Source: techcrunch.com/2026/05/10/get-

    Follow @technadu for more AI updates.

    #AI #FutureOfWork #TechNews

  23. MODERN ECONOMICS
    Understanding Modern Systems and the Forces That Now Drive Value

    Attention. Trust. Data. Networks. Speed.

    The forces driving value have changed.

    This article explores how modern systems are reshaping economics, work, and human behavior.

    Article link below.

    medium.com/@dianabasieseme_600

    Visual created with AI.

    #ModernEconomics #Economics #DigitalEconomy #AttentionEconomy #AI #FutureOfWork

  24. MODERN ECONOMICS
    Understanding Modern Systems and the Forces That Now Drive Value

    Attention. Trust. Data. Networks. Speed.

    The forces driving value have changed.

    This article explores how modern systems are reshaping economics, work, and human behavior.

    Article link below.

    medium.com/@dianabasieseme_600

    Visual created with AI.

    #ModernEconomics #Economics #DigitalEconomy #AttentionEconomy #AI #FutureOfWork

  25. MODERN ECONOMICS
    Understanding Modern Systems and the Forces That Now Drive Value

    Attention. Trust. Data. Networks. Speed.

    The forces driving value have changed.

    This article explores how modern systems are reshaping economics, work, and human behavior.

    Article link below.

    medium.com/@dianabasieseme_600

    Visual created with AI.

    #ModernEconomics #Economics #DigitalEconomy #AttentionEconomy #AI #FutureOfWork

  26. MODERN ECONOMICS
    Understanding Modern Systems and the Forces That Now Drive Value

    Attention. Trust. Data. Networks. Speed.

    The forces driving value have changed.

    This article explores how modern systems are reshaping economics, work, and human behavior.

    Article link below.

    medium.com/@dianabasieseme_600

    Visual created with AI.

    #ModernEconomics #Economics #DigitalEconomy #AttentionEconomy #AI #FutureOfWork

  27. MODERN ECONOMICS
    Understanding Modern Systems and the Forces That Now Drive Value

    Attention. Trust. Data. Networks. Speed.

    The forces driving value have changed.

    This article explores how modern systems are reshaping economics, work, and human behavior.

    Article link below.

    medium.com/@dianabasieseme_600

    Visual created with AI.

    #ModernEconomics #Economics #DigitalEconomy #AttentionEconomy #AI #FutureOfWork

  28. Fear and Loathing of AI (Part III): “Learn AI” Is the New “Learn to Code”

    By Cliff Potts, CSO, and Editor-in-Chief of WPS News

    There is a sentence that shows up in every technological cycle right before the disappointment phase begins.

    “Just learn the skill.”

    It sounds empowering. It sounds reasonable. It sounds like personal agency.

    It is also a lie we have been telling people for decades.

    The obedience script

    “Learn to code” was never about opportunity.
    It was about discipline.

    It trained people to accept that:

    • structural failures are personal problems,
    • economic insecurity is an individual moral test,
    • and survival depends on constant retraining at your own expense.

    When the promised jobs didn’t materialize—or paid far less than advertised—the story shifted seamlessly: you didn’t learn the right language, the right framework, the right stack.

    Now the phrase has been updated.

    “Learn AI.”

    Same script. Same pressure. Same outcome.

    Skills don’t collapse — markets do

    Coding did not fail because people were lazy or incapable. It failed because markets flooded, tools commoditized, and labor lost leverage.

    AI will follow the same arc, only faster.

    The moment a skill becomes:

    • widely accessible,
    • easily automated,
    • and expected rather than rewarded,

    it stops being a path to security and becomes a baseline requirement for staying afloat.

    The reward for compliance is not prosperity.
    It is continued participation.

    Training as cost transfer

    Here is what “learn AI” really means in practice:

    • You pay for the courses.
    • You absorb the time cost.
    • You shoulder the career risk.
    • You adapt repeatedly as tools change.
    • You accept lower pay because “AI makes you more efficient.”

    None of that is accidental.

    It is a system designed to push costs downward while extracting value upward.

    The more often you are told to retrain, the clearer it becomes that training itself is the product.

    The illusion of agency

    People are encouraged to believe that mastery equals control.

    But control does not come from skill alone.
    It comes from:

    • ownership,
    • bargaining power,
    • regulation,
    • and collective leverage.

    Without those, skill is just labor dressed up as self-improvement.

    Learning AI may help you keep your job a little longer.
    It will not protect you from the logic of the system deploying it.

    What learning actually means now

    This does not mean you should refuse to learn.

    It means you should learn without illusions.

    Learn AI the way you learn any tool:

    • to reduce friction,
    • to save time,
    • to extend what you already do.

    Do not learn it expecting salvation.
    Do not learn it expecting loyalty from platforms.
    Do not learn it expecting the market to reward you for effort.

    Markets reward leverage, not diligence.

    The quiet truth

    The most dangerous part of “learn AI” is not that it is false.

    It is that it is incomplete.

    It tells people how to adapt, but never who benefits.
    It demands flexibility, but never offers stability.
    It promises relevance, but never guarantees dignity.

    We have seen this cycle before.

    And it did not end with freedom.

    It ended with exhaustion.

    For more social commentary, please see Occupy 2.5 at https://Occupy25.com

    #AISkills #ArtificialIntelligence #economicPrecarity #futureOfWork #laborEconomics #learnToCode #Occupy25 #platformCapitalism #technologyHype #workforceRetraining #WPSNews
  29. "These workers are training AI to take their own jobs.
    There’s a hidden workforce powering the rise of ChatGPT, and nearly 1 in 5 of them have fallen into homelessness.
    We investigated America’s AI sweatshops, and found a new gig economy run by Big Tech."
    youtube.com/watch?v=aooiDA-AsNo
    #futureofwork #knowledgework #technologicalunemployment #turkopticon #uberisation #workerinvisibility

  30. "These workers are training AI to take their own jobs.
    There’s a hidden workforce powering the rise of ChatGPT, and nearly 1 in 5 of them have fallen into homelessness.
    We investigated America’s AI sweatshops, and found a new gig economy run by Big Tech."
    youtube.com/watch?v=aooiDA-AsNo
    #futureofwork #knowledgework #technologicalunemployment #turkopticon #uberisation #workerinvisibility

  31. "These workers are training AI to take their own jobs.
    There’s a hidden workforce powering the rise of ChatGPT, and nearly 1 in 5 of them have fallen into homelessness.
    We investigated America’s AI sweatshops, and found a new gig economy run by Big Tech."
    youtube.com/watch?v=aooiDA-AsNo
    #futureofwork #knowledgework #technologicalunemployment #turkopticon #uberisation #workerinvisibility