The Friction We Keep Removing Is What Makes Us Human

The Friction We Keep Removing Is What Makes Us Human
👋 Hi, I am Mark. I am a strategic futurist and innovation keynote speaker. I advise governments and enterprises on emerging technologies such as AI or the metaverse. My subscribers receive a free weekly newsletter on cutting-edge technology.

The Friction We Keep Removing Is What Makes Us Human

A warehouse in Beijing swapped its night shift for machines, not because the robots became clever enough but because a cost finally fell below a wage. That is a moral event dressed as arithmetic, and almost nobody paused over it.

Let me say where I stand before the evidence, because the evidence will tempt you toward the wrong conclusion. We are rapidly moving to an era where intelligence is becoming practically free, and that will reshape society in ways we cannot yet picture. That is why I also do not believe we are in a bubble. Railways and telecom were financed on capital that looked reckless at the time, and we ended up needing everything they built and more. Anything that can be built will be built, and most of it should be.

So this is not a plea to stop. It is a harder question. What are we building, and does anyone actually understand it?

Which demand can you actually touch?

Take the demand question first. China shipped more than 40,000 humanoid robots in six months because the unit economics closed, while Nvidia guaranteed up to $105 billion so its own customer could build the data center that will run its chips. Both are answers. Only one is demand you can touch. Which kind sits underneath your own AI investments?

That distinction matters because the loud story was the reversible one. A financing guarantee can be revised, and this one already was, by $145 billion. The quiet stories were the ones you cannot take back.

Four arms of the US government defined what a digital dollar is: what it legally counts as, who may issue it, whether a treasurer may hold it as cash. Because the rule reaches any dollar token issued to a person on American soil, a domestic definition became a global default. A bank in Singapore inherited rules it never voted on.

A national health service opened a standing framework to buy mixed reality as routine clinical training, while the companies that sold the consumer metaverse quietly dismantled it. A procurement lot settled in one line what a decade of platform wars could not. And medicine arrived for the single patient: a cancer vaccine built from one person's own tumor, a brain operation guided by live software, an Alzheimer's blood test cleared for use. None of it framed as an experiment. All of it billed as care.

Not one of these was decided by an invention. Every capability existed earlier. What changed is that an institution committed, and at that moment the question stopped being a question. It became a definition. A framework. A clearance. A purchase order.

The people who were not asked

Who was in the room when those were signed? Not the nurse who will train on that system. Not the worker whose shift was costed against a machine. Not the patient whose scan a model reads before a doctor does. The people who inherit a decision are almost never the people who make it, and we have built a way of deciding that makes this faster, not slower.

Humanity does not think in centuries. Had we held a long view a hundred years ago, we would likely be somewhere better than here. We are pouring the foundations of the next century, silicon first, then photonics, perhaps one day organic again if we learn to match the efficiency of the human brain, and we have not agreed what the century is for.

My answer to my question at the start would be to build it to elevate human consciousness, awareness and empathy, in a way the planet would also endorse. That is a choice, but it seems most of our current decisions are made by default, at the speed of a purchase order, without taking a long-term perspective.

Each decision removed a friction

Look again at what those four decisions share. Each one removed a friction. The friction of negotiating with a worker. The friction of legal ambiguity. The friction of deciding what to buy. The friction of a diagnosis that once needed a spinal tap and a specialist few could reach.

But there is a cost that nobody prices. A robot is cheaper than a wage until the factory that built it goes bankrupt and you are left with a worker that no longer works.

When solar crossed below oil and gas, the crossing was a beginning, not a verdict. The same crossing has arrived for human labor, but in this case the hidden costs are still missing from the equation. The move to renewables carries exactly this kind of unpriced cost, a mountain of discarded wind turbine blades that nobody budgeted for. How many of our efficiency gains carry a liability nobody has written down?

The largest of those unpriced costs is friction itself.

Machines optimize, and optimization means removing friction. They will learn to perform awe, joy and care convincingly, and many people will find the performance sufficient. Some already prefer it because there is no friction, as these tools are more yes-sayers than honest companions.

There is a Dutch saying, "wrijving geeft glans". Friction gives shine, if I were to translate it literally. Sand away the friction of people being difficult, mistaken and human, and you get a smoother society and a duller one, having surrendered far more than the transition returns.

So I hold two positions that pull against each other. Build all of it, but let us slow down, because we do not understand what we are building. The way through is not a compromise between them. It is sorting. There are plenty of optimizations in society that carry real benefits with few downsides, that can make our society better in the short run without damaging consequences in the long run. However, there are also plenty that require more time to decide.

Where the work begins

Because of the speed of change, the world is changing faster than we can absorb. But if we want to build for the long term, absorption has to become a practice rather than a private virtue.

That has to start early, long before anyone reaches a board. We teach children how to use these tools. We do not teach them to ask what a tool costs ten years after it works. Without a deep understanding of what is at stake, we are bound to make mistakes we cannot take back.

So let us decide first which decisions carry trivial consequences and which carry consequences measured in decades. Then move fast where we can and slowly where we should. Most organizations do the reverse, deliberating for months over choices they could undo in a week and settling permanent ones before lunch.

The machines will keep removing friction. That is what they are built to do. Our work is to decide which friction was holding the shine, and to defend it before it has been polished away. If you cannot yet say which one, that question is where the work begins.

Frequently asked questions

Why did a warehouse in Beijing replace night shift workers with robots?

The switch happened not because the robots suddenly became more capable, but because their cost finally fell below the price of paying a human wage. This is described as a moral event dressed up as simple arithmetic, one that almost nobody paused to consider seriously.

Link to this question

Are we in an AI investment bubble?

The view expressed is that this is not a bubble, comparing it to railways and telecom, which were financed with capital that looked reckless at the time but turned out to be necessary. Anything that can be built will be built, and most of it should be, though how it is built still needs scrutiny.

Link to this question

What is the difference between real demand and financing guarantees in AI?

Real, touchable demand looks like China shipping more than 40,000 humanoid robots in six months because the unit economics worked. A financing guarantee, such as Nvidia's commitment of up to 105 billion dollars to a customer building a data center, is reversible, as shown when it was later revised by 145 billion dollars, making it a much less solid signal than actual purchases.》

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What danger comes from removing friction from society through automation?

Machines are built to optimize by removing friction, but friction from people being difficult, mistaken and human is what gives society its shine. Sanding it away creates a smoother yet duller world, and machines that convincingly perform awe, joy and care risk being preferred over honest human interaction simply because they are frictionless yes-sayers rather than genuine companions.

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Dr. Mark van Rijmenam

Dr. Mark van Rijmenam

Dr. Mark van Rijmenam is The Digital Speaker, a world-leading futurist and global AI keynote speaker who helps leaders decide what AI, and the technologies that follow it, mean for their business. He speaks to leadership teams at their retreats and to conference audiences worldwide, and his WAVE framework gives them a way of deciding that they keep using long after he has left the room. His Intelligence Age Scorecard measures how ready an organization is across the four WAVE pillars.

He holds a PhD from the University of Technology Sydney, is a Certified Speaking Professional and Global Speaking Fellow, and ranks among the world’s top futurists on the Global Gurus list (#1 in 2025, #3 in 2026). Salesforce named him one of its 16 leading AI voices. He has written six books, most recently Now What? How to Ride the Tsunami of Change, writes the Synthetic Minds newsletter on Substack, and founded Futurwise. Talk to his digital twin on WhatsApp: +1 (830) 463-6967.

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