Browse Comments — Raw (as collected)

Elodie Flenniau love this reflection. I do think that this is the kickoff document for Catholic schools to overhaul their curriculum and practice. He speaks almost directly to school leaders and educators in several chapters (including 3 and 4). It makes me think, that it is a call to action. I will be watching that space closely. What you wrote here also landed with me: “This is the official start of more AI literacy within the church which is something missing within every workforce.” It reminds me of an article I read out of Denmark, where the church leadership came out and told pastors to stop using AI generated sermons. They had spotted a massive problem across their churches. AI literacy is impotent in all fields, and it includes knowing when not to use AI.

Thank you Joanne Ely. That means a lot to me.

Strong perspective. A lot of AI discussions still focus primarily on capability, while the harder questions are increasingly about governance, incentives, and how the value created by these systems gets distributed across society and organizations. Technology alone does not determine outcomes. The surrounding structures, ownership models, and decisions around deployment matter just as much.

Very thoughtful post. 🙌 Justin

Willy De Backer Yes to this. There is a lot to really sit with and reflect on. I quickly skimmed the chapter on political warnings against technocratic system but I am definitely returning to that. The economic ecosystem is enormously powerful. And, whether we like it or lot, politics matter. Thank you for tagging Dr. Rikap. I will read that work.

AI is not cheap labor. It is leverage. But leverage only works if the workflow is designed well. If every engineer runs agents on every task without cost control, context, review, and clear ownership, the bill will explode. So I think it is not “AI vs humans”. I think the key q-n we should ask is: where does AI improve output per dollar?

This specific vision for AI integration speaks to fundamental operating model shifts. For advisory firms in the UAE, scaling revenue compounds not from broad service menus, but from the quality and density of our professional network, driving repeat mandates and referral velocity. This is quite distinct from AI-driven governmental scale.

In my experience EQ is not really about being good with people. It is about reading a room accurately and then actually doing something with what you see, even when what you see is uncomfortable.

Let that start, without compromise

I imagine that many of those quick responders used an AI-tool for "reading" it. Dark irony.

Love it and it all starts with the courage to be honest with yourself, to really dare dive into your feelings and thoughts, understanding yourself better will make you understand other so much faster.

'empathy not to fix them' - that's the hardest part for most managers. everyone wants to jump straight into solution mode and they miss the actual human connection. curious if you think this can actually be taught or if it's just a personality trait?

People need to relax a bit. Elon isn't even close to the richest person in the world, we just don't tell the public. There actually is a point of wealth where people start looking after the global population and quit being selfish and start taking responsibility. Technically we already have AI that is far ahead of anything the top tech CEO are developing and we can punch down into their systems at any time. Who has the keys to the higher level system it is based on their quantum signature, it locks up if your intent is bad as it can read your mind, memories, and thought patterns remotely. This is all part of Disclosure and the new multiplanetary economy. Character Matters. Don't lie. As for the financial outcome and how we look after people with a UBI, it has already been taken care of we just haven't flipped the switch yet to show the public, it already tracks everything. It is not a social credit system. It is based on physics and observation. Every action leaves a trace in the quantum field. We figured out how to monetize karma so we now collectively plug into the multiplanetary economy. Cheers.

I agree that AI is expensive, but AI can not replace the human why because we need humans for authorization and final decision for security standards. We can not do anything fully automated othervise we loss the thing.

Very important perspective. The biggest AI question is probably no longer whether the technology works, but how the economic value, decision power, and productivity gains will be distributed. Because history shows that technological progress alone does not guarantee broader prosperity. The surrounding system, incentives, and leadership decisions ultimately determine who benefits from it.

We believe this structural shift is critical for sustainability in the HVAC sector. If we prioritize equitable resource distribution, we can ensure that new climate technologies truly benefit the broader community rather than just a few.

AI is transforming work, but the hype ignored one reality: scale without economics breaks fast. The winners won’t be companies replacing humans blindly, but those using AI to amplify skilled teams, control costs, and solve high-value problems sustainably.

The point about creating environments where people can speak up is particularly important. In healthcare and public health settings, psychological safety is not just cultural preference, it can materially affect outcomes, innovation, and risk management.

This is the deeper conversation more people need to have. Technology itself is neutral most of the time. The real impact comes from the incentives, ownership, and decisions around it. AI is scaling systems and power structures just as much as it is scaling capability.

… and whether AI will turn all of us into the slobs that we see in Wall-E. I am really afraid that we will degenerate like that.