The Robot Monk and the Illusion of Care

I am not anti-AI. I say that up front because the conversation has become painfully stupid. Apparently, the only two available positions are that AI will save humanity, organize your inbox, cure loneliness, reinvent education, and tuck you in at night, or that AI is a demon blender made of stolen art, bad vibes, and Nvidia chips.

I live somewhere less theatrical.

I use AI. I work around AI. I believe it can help people think better, move faster, find patterns, and cut through work that used to take days. I have watched it turn a blank page into momentum. I have watched it make hard work easier. So no, I am not standing outside the data center with a pitchfork.

But the closer I get to AI, the less reassured I feel by the people selling it. Not because the technology is powerful, but because the story around it is getting too polished. Too gentle. Too “don’t worry, this is good for you.”

And then came the robot monk.

South Korea recently introduced Gabi, a humanoid robot dressed in Buddhist robes at Jogyesa Temple in Seoul. Gabi folded its hands, participated in a Buddhist precept ceremony, and was introduced as part of a broader effort to bring Buddhism into a more modern cultural context. The reporting makes it clear that Gabi is not replacing a monk or delivering deep spiritual instruction. It is more symbol than priest. More spectacle than sermon. (The Guardian)

Which is almost worse, because the robot does not need to give a sermon. The robe is already doing the talking.

A machine was placed inside the visual language of peace. The robe says humility. The folded hands say reverence. The temple says moral seriousness. The machine underneath says something else: data, automation, ownership, control, and a system designed somewhere else by people the public will likely never meet. Somehow, we are supposed to look at the whole thing and feel soothed. See? It bows. How bad could it be?

The robe is doing too much work

A monk robe is not just a costume. It carries centuries of meaning: restraint, service, stillness, a life pointed away from ego. When a robot wears that robe, it borrows all of that before it has earned any of it.

Maybe this specific robot is harmless. Maybe it is a teaching tool. Maybe it is a temple experimenting with how to reach younger people. Maybe it is a sincere attempt to ask what ethics means when machines start imitating human gestures of care. Fine. That can all be true.

The image still works because the machine has been softened for us. A hard system in a gentle outfit. And that is starting to feel like the AI playbook.

Give the assistant a friendly name. Give the robot a rounded face. Give the interface a calming gradient. Give the automation a little sparkle icon. Give the chatbot a voice that sounds like it took one semester of therapy and now says things like, “I hear you.” Then ask people to relax. The future is here. It is smiling. Please upload your knowledge base.

The sales pitch is not care

The phrase I keep coming back to is the illusion of care. Not care itself, but the performance of care. Care as interface. Care as product language. Care as launch theater. Care as “we’re empowering people” said by someone whose next slide is about reducing labor cost.

I have written about how AI is often sold through the language of help, care, empowerment, and human-centered design while the systems underneath may still confuse, coerce, erase, or exhaust people. The risk is that empathy becomes tone instead of structure: a soft voice over a hard system.

That is what I see in the robot monk. Not a terrifying machine, but a perfect little mascot for the trick. Care as costume.

A robe does not make a system compassionate. A soft voice does not make a system safe. A “helper” label does not make a system accountable. And a friendly interface does not mean the person using it has any power.

That is the part worth sitting with. When something calls itself helpful, do you feel more in control, or are you being guided into accepting something that has already been decided?

“Inevitable” is doing a lot of bullying lately

The word inevitable has become one of the most useful little weapons in the AI conversation. It sounds mature, almost scientific, like a weather report delivered by a man in a quarter zip. But it often means: we have already decided, and you are now being invited to emotionally adjust.

AI will be in every workflow. AI will change every job. AI will enter every classroom. AI will reshape healthcare, retail, hiring, dating, government, art, customer service, elder care, and, apparently, Buddhism.

Maybe some of that is true. But “this is coming” is not the same as “this is right.” It is also not the same as consent. A thing can arrive and still deserve limits. A thing can be useful and still be exploitative. A thing can be impressive and still be rude as hell to the humans standing underneath it.

That is why the recent graduation speeches about AI have been so telling. At the University of Arizona, former Google CEO Eric Schmidt was repeatedly booed while speaking about AI at commencement. Reporting described the crowd’s reaction as a response to his remarks about AI, job disruption, and the idea that graduates should get on the “rocketship” of technological change. (The Verge) At the University of Central Florida, a commencement speaker was also booed after describing AI as the next Industrial Revolution. (The Guardian)

Honestly? Good.

Not because speakers deserve humiliation. Not because students should refuse technology. But because the script deserved interruption.

Graduation is already absurd enough. You spend years and a morally suspicious amount of money preparing for a career, then someone worth more than a small nation stands on stage and says, “The future is AI. Be ready.” Thank you, sir. Very grounding. Shall I also Venmo the robot my student loan payment?

The boos were not anti-progress. They were an emotional fact. Students are being told to prepare for a labor market already being redesigned around them, often by people who will not personally absorb the downside. They are being told to be excited about tools that may learn from their work, automate parts of their work, and then reduce the market value of the work. That is a lot to clap for in a polyester gown.

Maybe the boos were not resistance to the future. Maybe they were people noticing the future had arrived with very little manners.

The future has a footprint

The pushback is not only happening in auditoriums. It is happening in towns where AI stops being a magical chatbot and starts becoming a building.

A very large building.

With land use questions, water demand, electricity demand, transmission lines, backup generators, tax incentives, noise, construction, and local politics. The whole glamorous undercarriage of “the cloud,” which, as it turns out, is not a cloud. It is a warehouse with a thirst problem.

Gallup found in May 2026 that seven in ten Americans oppose building AI data centers in their local area, including 48% who strongly oppose them. The same survey found that resource use, including water and electricity, was one of the top concerns among opponents. (Gallup)

This is not random backlash. People are asking basic questions. Will this raise our bills? Will this strain our grid? Will this use our water? Will this change our town? Who gets the tax break? Who gets the noise? Who gets the jobs? Who gets the bill?

These are not backward questions. They are governance questions.

But notice how quickly local resistance becomes “friction.” Students booing are friction. Workers worrying are friction. Artists objecting are friction. Rural homeowners pushing back are friction. Customers demanding humans are friction. At some point, maybe the friction is not the problem. Maybe the friction is the sound people make when the future is being installed without enough permission.

The part people feel but cannot always name

Here is the thing many people are trying to say: AI companies are not only giving us tools. They are taking from us.

They are scraping our writing, art, habits, workflows, patterns, preferences, conversations, decisions, exceptions, and expertise. They are learning from the work people did before the tool existed. They are asking workers to document what they know, clean up messy processes, train systems, correct outputs, and be patient while the model improves.

Then the model improves, and everyone acts surprised when the next conversation is about efficiency.

What a beautiful circle.

First, the system learns from your labor. Then it helps redesign your labor. Then it explains that your labor has changed. Then someone sends a cheerful email about transformation.

This is what makes the smiley robot feel insulting. Not because it smiles, but because it smiles while standing in front of the machinery.

See? It is not extraction. It is innovation.

See? It is not replacement. It is augmentation.

See? It is not surveillance. It is insight.

See? It is not coercion. It is preparation.

See? The monk robot bowed.

The question is not whether AI helps

Of course AI helps. That is why this is complicated.

Bad arguments pretend the useful thing is not useful. Better arguments admit the useful thing can still be dangerous. AI can save time and weaken workers. It can improve access and reduce accountability. It can personalize experiences and manipulate behavior. It can make knowledge easier to reach and make expertise easier to devalue. It can support humans and quietly train organizations to need fewer of them.

Both can be true. That is the adult conversation.

Not “AI good.” Not “AI bad.” More like: who benefits first, who pays first, who gets consulted, who gets automated, who gets watched, who gets replaced, who gets to appeal, and who gets told to adapt?

And maybe the most important question is this: when the system harms people, can it be stopped?

If the answer is no, all the caring language in the world is decoration.

Real care has teeth

Real care is not a tone. It is not a rounded button, a friendly chatbot, a monk robe, or a corporate value printed next to “innovation” in a font that looks like it drinks oat milk.

Real care has teeth.

It gives people a way to say no. It explains decisions clearly. It creates appeal paths that are not fake little mazes. It measures harm by group, not just average satisfaction. It treats local communities as participants, not obstacles. It gives workers power when automation changes their work. It lets responsible AI teams stop things, not just write memos about concerns everyone will thoughtfully ignore.

It delays launches. It costs money. It annoys executives. That is how you know it is real.

Care that never changes the timeline is usually branding. Care that never changes who has power is usually theater. Care that never blocks anything is just a scented candle in a conference room.

NIST’s AI Risk Management Framework describes trustworthy AI through qualities like validity, safety, security, accountability, transparency, explainability, privacy, and fairness. That work is necessary. But the harder question is whether those principles have any power when they run into money, speed, and executive pressure. (NIST)

Can they delay a launch? Can they change the roadmap? Can they force a redesign? Can they protect a person no one in leadership will ever meet?

If not, they are not governance. They are theater with footnotes.

What I want instead

I do not want less AI. I want more honest AI.

I want companies to stop dressing extraction as empowerment. I want leaders to stop telling people they are being prepared for a future they were never allowed to shape. I want tools that admit what they are. I want systems that can be challenged. I want interfaces that help without manipulating. I want automation that saves time without quietly removing recourse.

I want people to know when AI is being used, what it is doing, what it is learning from, and what happens when it is wrong. I want the human beings closest to the risk to have more than a feedback form and a prayer.

And yes, apparently now I want religious robots to come with governance notes. We all have our ministries.

The robe is still doing too much work

The robot monk stays with me because it makes the whole trick visible. Put a robe on the machine. Give it folded hands. Place it in a temple. Let it bow. The room softens.

But softness is not safety.

A peaceful costume does not prove a peaceful system. A monk robe on a robot does not tell us the machine has compassion. It tells us someone understood that compassion was the image the public needed to see.

That is what worries me. Not AI itself, but the performance around AI. The borrowed trust. The forced inevitability. The smiley little interface standing in front of a system that is stripping knowledge for parts, automating workflows on people’s backs, and asking everyone to admire how politely it says thank you.

So no, I am not anti-AI. I am anti-being-managed. I am anti-being-told that concern is ignorance. I am anti-care-as-costume.

Show me the audit trail. Show me the appeal path. Show me the meeting where community pushback changed the plan. Show me the launch that was delayed because workers would have been harmed. Show me the moment dignity beat speed.

That is when I will believe the care is real. Until then, the robot can bow all it wants.