Spent a decade inside organizations doing exactly this and the pattern is consistent.. Most AI-driven restructures fail for the same reason the previous wave failed. .They redesign the org chart and leave the decision architecture completely untouched. New boxes on the slide, same confused accountability underneath. The research on change failure rates is damning, but the cause is usually simpler than it looks..you can't bolt velocity onto a system built for consensus. The actual restructure most companies aren't doing is clarifying who owns what when the AI generates something ambiguous. That's the work that determines whether this one holds.
I just wonder what's going to happen with the mental health disorders when it's forced on everyone. You do know about the Externalization problem, right? How LLMs are designed to predict user emotions using Computational Functionalism? Which is eugenics.
I'm honestly wondering how long businesses are going to go without understanding the consequences of what they're doing. I'm not saying that's you but you can see the disaster coming.
They bought into a scam, a very very unsafe one. If I were them, maybe wait to adapt AI until you understand if AI actually can even benefit your business, at all.
Why do none of them care about that Algorithmic Bias problem? You should, it's about to come back and fuck you up because of the fundamental design flaws in AI. If you expect it to act neutral or objective, that can never happen, so just be prepared for that. Just remember, you're liable for what your AI does. Why does no one talk about the bias? They're literally misleading everyone else into following them off a cliff.
How lazy Westerners are about bias will be their own downfall. "Inherent bias." They should take bias as serious as it is. I don't know what else to say, but just maybe look into why that's about to blow up in everyone's face who rushed into AI adoption.
We absolutely all should care about all the points that you have highlighted - both on an individual level and a societal level. These are big discussions that need to happen - and I’m not sure that they are.
These aim of this essay was to provide insights on what the research says makes a restructure successful, because restructures continue to happen but not well - if they are commercially unsuccessful and humanly unsuccessful, what is the point? I’ve had the privilege of working with organisations and leaders that DO care about these implications, and would like to see more people have the information they need to make better choices.
Spent a decade inside organizations doing exactly this and the pattern is consistent.. Most AI-driven restructures fail for the same reason the previous wave failed. .They redesign the org chart and leave the decision architecture completely untouched. New boxes on the slide, same confused accountability underneath. The research on change failure rates is damning, but the cause is usually simpler than it looks..you can't bolt velocity onto a system built for consensus. The actual restructure most companies aren't doing is clarifying who owns what when the AI generates something ambiguous. That's the work that determines whether this one holds.
Looking at work design is definitely now a non-negotiable.
I just wonder what's going to happen with the mental health disorders when it's forced on everyone. You do know about the Externalization problem, right? How LLMs are designed to predict user emotions using Computational Functionalism? Which is eugenics.
I'm honestly wondering how long businesses are going to go without understanding the consequences of what they're doing. I'm not saying that's you but you can see the disaster coming.
They bought into a scam, a very very unsafe one. If I were them, maybe wait to adapt AI until you understand if AI actually can even benefit your business, at all.
Why do none of them care about that Algorithmic Bias problem? You should, it's about to come back and fuck you up because of the fundamental design flaws in AI. If you expect it to act neutral or objective, that can never happen, so just be prepared for that. Just remember, you're liable for what your AI does. Why does no one talk about the bias? They're literally misleading everyone else into following them off a cliff.
How lazy Westerners are about bias will be their own downfall. "Inherent bias." They should take bias as serious as it is. I don't know what else to say, but just maybe look into why that's about to blow up in everyone's face who rushed into AI adoption.
We absolutely all should care about all the points that you have highlighted - both on an individual level and a societal level. These are big discussions that need to happen - and I’m not sure that they are.
These aim of this essay was to provide insights on what the research says makes a restructure successful, because restructures continue to happen but not well - if they are commercially unsuccessful and humanly unsuccessful, what is the point? I’ve had the privilege of working with organisations and leaders that DO care about these implications, and would like to see more people have the information they need to make better choices.