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Reading comments under one post — Masud Parvez · AI Policy & Regulation
Most AI debates are asking the wrong question. I have seen this so often. People argue about whether AI will replace jobs, improve productivity, or create new industries. But Bernie Sanders recentl…
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Agreed, this isn’t a time to take no action at all.
It’s all about balance and flow AI Policy & Regulation filtered out ⌕ thread
The structural shift you describe at societal level is already playing out inside individual organizations, and most aren't ready for it. The same question applies: who decides what AI is allowed to decide, and who is accountable when it decides wrong? In most organizations I observe, that question has no answer. Not because nobody cares, but because the decision architecture was never built.The societal debate matters. But the organizational version of this question is already urgent, and I've spent years building the answer.
Wer entscheidet, wenn KI mitentscheidet… AI Policy & Regulation relevant value: accountability for: organisations demanding indifference ⌕ thread → raw LLM
The shift wasn't just inevitable; it’s an absolute mathematical necessity. While the current pushback focuses heavily on trust and disruption, it ignores the looming demographic bottleneck. Most Western countries are currently sitting well below the replacement fertility rate ($2.1$ births per woman). We are staring down an unprecedented labor shortage and an aging population that the existing workforce simply cannot sustain long-term. When a society's natural birth rate can no longer replace its workforce, investing in technological "replacement" capability isn't a luxury or a corporate cash grab—it’s a survival strategy. The friction we are seeing right now is real, but macroeconomics doesn't care about sentiment. If you don't have the human capital to run an economy, you either manage a managed decline, or you build the automated infrastructure to bridge the gap.
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romain remember 8 ours of works, 8 ours play, 8 hours of sleep may be the bank system , the worlds is always tansforming we have to adapt
economic consultant AI Policy & Regulation filtered out ⌕ thread
Very important perspective. The conversation around AI is increasingly shifting from capability to governance, incentives, and accountability. Technology alone does not determine outcomes. The structures, leadership decisions, and operational priorities surrounding that technology ultimately shape who benefits and who gets left behind.
$1B+ in Government & Private Sector Con… AI Policy & Regulation relevant value: accountability + fairness for: society demanding approval ⌕ thread → raw LLM
“The issue is not capability. It’s who benefits.” That’s the real AI conversation most people still aren’t having. A lot of what we explore at aimerge.live sits exactly in that intersection between intelligence, power, governance, and human systems.
4-Week Protocol for Leaders & Teams Rea… AI Policy & Regulation relevant value: economic_equity for: society demanding approval ⌕ thread → raw LLM
Greg Manto That's the million dollar question!
Innovator | Business-Minded | Open Spir… AI Policy & Regulation filtered out ⌕ thread
The decisions are being made right now, and the people making them are not accountable to the average worker. That is the structural problem Sanders is pointing to. Capability without accountability does not distribute benefit, it concentrates it. And systems designed by those with the least exposure to downside risk are rarely designed to protect those with the most. #DecisionArchitecture
Governing the Gray Space: Technology Go… AI Policy & Regulation filtered out ⌕ thread
Thank you for sharing this Pascal BORNET. This is where the control question becomes very real. It is not only about who owns the models or who captures the productivity gains. It is also about who sets the boundaries of what people are allowed to ask, see, verify or challenge. I ran into this today in a very ordinary way. I asked an AI system a legitimate question about a reported crime, and the system treated the question itself as potentially problematic rather than helping me understand it responsibly. Of course safeguards matter. Nobody wants AI systems enabling harm. But if a small number of companies decide, through invisible policy layers, which questions are answerable, which topics are too sensitive, and which information can be surfaced, then AI is not just a productivity tool. It becomes an information control layer. And that is why the question of “who decides?” matters so much.
Enterprise & Partner Sales | SaaS, IDP,… AI Policy & Regulation relevant value: accountability + transparency for: society demanding outrage ⌕ thread → raw LLM
What does your heart tell you? Try not to falter when the opportunity arises and instead push ourselves to discern in order to generate and amplify forward positive movement. You got this.
It’s all about balance and flow AI Policy & Regulation filtered out ⌕ thread
AI won’t replace leaders. It will expose organizations that lack governance, vision, and the ability to make tough decisions. Technology is accelerating everything true but that’s exactly why leadership matters more than ever today. In regulated industries, trust and resilience are becoming strategic advantages
AI Policy & Regulation relevant value: accountability for: organisations demanding approval ⌕ thread → raw LLM
While pursuing a career as we know the importance is usually gaining ground on our side of things. Power? Power to choose what we do with our lives and our pursuits. What sort of people are we to believe that we can make decisions based on our beliefs beyond our control. The pursuits are usually based upon our beliefs not more than concern for others usually. As an Altruistic Christian who focuses primarily on ethical issues that drive my beliefs to do as much as possible for others. For this reason I am humbled by your service to America and the world.
!! Be Awesome • valiant one !! AI Policy & Regulation filtered out ⌕ thread
The most important AI question was never just capability.It was always governance, incentives, and who holds the power to shape the system. Technology scales fast.But without human-centred leadership, ethics, and accountability, inequality can scale just as quickly. That’s why the future of AI is not only a technical conversation.It’s a leadership one.
🌀EQAI Leadership | Empowering Women in … AI Policy & Regulation relevant value: accountability + fairness for: society demanding approval ⌕ thread → raw LLM
Please read "Empire of AI" by Karen Hao and weep. Phenomenal.
Consultant Physician Cardiologist, Hear… AI Policy & Regulation filtered out ⌕ thread
With new technology there will be good and not so good outcomes. Take for example Ms Excel, when it was introduced, many book keepers lost their jobs. Eventually other persons embraced the new technology and became proficient in the use of it and overtime those who got onboard with the new technology were able to obtain new roles in organizations and were able to increase their productivity. With AI, we need to embraced it for what it is and use it to enhance the way we work and innovate. Let us see how much of the positive we can derive from the use of AI and control/manage the negative that it will also bring.
Director Operations at Nolva Trading & … AI Policy & Regulation relevant value: beneficence for: individual_users optimistic approval ⌕ thread → raw LLM
The same point could have been made with the access to the printing press, electricity, wireless communications, the internet + its infrastructure, etc. History shows the opposite happens. The future of AI is personal, distributed, and open-source (IBM and Hugging Face, anyone?). The argument that the 'richest people in the world' are controlling AI, not with your interest in mind, will age like milk. Free market and clever, good-hearted people will continue to do their work. There is a reason we live in the best times in human history... but I guess there will always be people to complain. Just to be clear: I am neither pro-Republican nor pro-Democrat. I highly respect Mr. Sanders and agree with many of his points.
I design products that make users smile… AI Policy & Regulation filtered out ⌕ thread
Exactly! Also like the Pope writes in his Enzyklika: it’s about humanity and AI. We have to ensure that ethics and not money is the driver of the use and development of AI.🤖❤️
Storycoach I Speakerin I Trainerin I St… AI Policy & Regulation relevant value: beneficence for: humanity demanding approval ⌕ thread → raw LLM
Stop debating and start creating is the real future. Debating creates "noise".
System Architect /Creator Of DCA (Decis… AI Policy & Regulation filtered out ⌕ thread
For decades, the Georgia Guidestones stood as a chilling monument to a vision of the future that many believe exposed the ambitions of the global elite. To critics, the message was unmistakable: humanity itself was to be engineered, managed, and reduced into a compliant servant class existing solely to sustain the comforts and power of a privileged few. Now, as robotics and artificial intelligence advance at breathtaking speed, that once-dismissed vision no longer feels like distant speculation. The emerging world appears increasingly designed around automation serving concentrated wealth and influence; a future where machines cater to every need of the powerful, while ordinary people risk becoming economically obsolete, politically marginalized, and socially expendable. What was once etched in granite now feels, to many, like a blueprint quietly unfolding in real time.
Retired - Not seeking employment AI Policy & Regulation filtered out ⌕ thread
Sanders asks the right question — and immediately retreats from it. "Who decides" is only useful if you follow it through. The moment you do, you hit a harder problem: the institutions through which "we" might decide are already being restructured by the same actors building the stack. So the question isn't just who benefits — it's who retains the capacity to resist when they don't. That's not a distribution problem. It's a subjecthood problem. And social-democratic toolkits — redistribution, regulation, fairer outcomes — were designed for a world where power relations were stable enough to be taken as given. That world is ending faster than the toolkit is adapting. The real question being decided right now, without most people noticing: not what AI can do, but which actors will permanently lose the structural capacity to push back. Once that's gone, the conversation about "fairer outcomes" becomes academic.
Infrastructure Resilience Analyst | Ukr… AI Policy & Regulation relevant value: economic_equity for: vulnerable_groups critical fear ⌕ thread → raw LLM
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