Riley is seventeen and good with words. They can hold a group chat of forty people, write a caption that gets passed round the school, and settle an argument between two friends in three careful messages. Put Riley in a room with one of those friends, upset and waiting for them to say something, and they go quiet.

They have never had to do this before, and nobody has shown them how.

I have made Riley up. The survey that follows I have not.

Six million quiet weeks

In May 2026 the charity Mental Health UK published a survey, carried out by Research Without Barriers at the end of April, under the title “Britain’s gone quiet”. Fourteen per cent of the people asked said they had gone more than a week without speaking to a friend or loved one on the phone. The charity scales that to more than 6.4 million people. Just over half of everyone asked, 51%, said making or taking a call makes them anxious to some degree.

The survey was run in partnership with iD Mobile, a phone network, and a phone network has an obvious interest in people calling each other more. The charity’s write-up does not give the sample size either. I would read the headline figures with both in mind. The finding I find harder to set aside is the split by age.

Sixty-nine per cent of Gen Z said phone calls make them anxious or worried. Among people aged 55 and over, the figure was 32%. That is a 37-point gap between a generation that grew up dialling a number without thinking about it and one that grew up composing a message, reading it back, and deciding whether it was safe to send.

The want is still there

The easy explanation is that the platforms made people not want each other. The same survey says something more specific. Seventy-five per cent reported a lift in mood after speaking to someone they love on the phone. Seventy-two per cent agreed that hearing someone’s voice makes a bigger difference than reading their words. Fifty-seven per cent said they had sent a text when a phone call would have been far more appropriate.

The want is still there. What is missing is the practice.

The people surveyed send, on average, up to 25 text-based messages a day, and 73% admitted to rewriting a message several times, hunting for a version that reads the way they mean it. That is a skill: knowing how to edit yourself into a version people respond well to.

It also rewards something a live conversation does not allow. You can’t redraft a phone call. You can’t take back a pause that went on a beat too long, or a sentence that came out wrong the first time. Text lets you find the right words before anyone hears the wrong ones. Conversation asks you to say the wrong ones out loud sometimes, and survive it.

What performance trained out

Nobody set out to do this. The platforms that carried a generation’s social life into adulthood were built to reward the edited version of a person, the reply you can redraft until it is right, because that kept people posting and replying and coming back. Conversation, unrehearsed and unedited, was never something those systems needed from anyone. So the muscle for it had less reason to form than it did in the people who grew up before texting existed.

The skill that did not form is no smaller than the one that did. It may be the harder of the two. Reading tone as it happens, sitting inside a silence without filling it, saying the imperfect thing and letting it stand: none of that can be practised by rewriting a message until it is right.

Where the practice used to happen

I wrote recently about a stranger in a DIY shop queue who turned round to ask me about a car, and the person on the till who joined in. Which Car Is That? That piece was about the places where unplanned conversation happens, and how they are removed without anyone deciding to remove them. This is the other half of it. A conversation like that needs somewhere to happen, and it also needs people willing to say something unedited to a stranger.

The two feed each other. The queue, and the phone call you had to make because there was no other way to book the appointment, were where the practice was done, a minute at a time, with nothing much at stake. I cannot show from a survey that fewer of those minutes produces more anxious callers. I would be surprised if it did not.

Follow Riley forward ten years. They are good at their job. The difficult conversation with a colleague goes into a message, composed and recomposed. The feedback that needed saying arrives as an email, and arrives slightly wrong.

There is a working life, and a family, and a whole set of relationships being built on people who are eloquent on the page and out of practice in the room. The seventeen-year-olds coming up behind Riley will have had fewer tills to practise at.

Leave a comment

You’re reading The Next Evolution by Neil Catton, articles that explore the human world and the intersection of technology, they try and ask difficult questions - not to scare - but to inform. If someone forwarded this to you, you can subscribe free at neilcatton.substack.com.

Share

Neil Catton is the author of The Next Evolution, The Cognitive Crucible and The Shadow System - available on Amazon, and writes at the intersection of technology, ethics, and human purpose.

Most companies still treat security as an IT department problem with a compliance layer bolted on. The organisations that actually survive an attack treat it differently: as a discipline that runs through every desk, every vendor contract, every crisis rehearsal, long before anything goes wrong.

The card sets out three practice areas. The human element trains people to recognise manipulation, not just avoid it. The tactical core builds and tests an incident response plan before it’s needed, not during the breach. The extended perimeter holds suppliers and vendors to the same standard as the business itself. It’s written for leaders and the teams they run, not just IT.

It comes from The Shadow System, the closing book of the trilogy, where the fuller argument about organisational resilience gets made at length. The card doesn’t need the book to make sense — it stands on its own.

Print it for the team that owns your incident response plan, or send it to the leader who still thinks a firewall is where the job ends.

Every practice area on this card assumes a breach will eventually reach you. The harder question it leaves open: does your organisation actually rehearse for that day, or just insure against it?

Leave a comment

You’re reading The Next Evolution by Neil Catton, articles that explore the human world and the intersection of technology, they try and ask difficult questions - not to scare - but to inform. If someone forwarded this to you, you can subscribe free at neilcatton.substack.com.

Share

Neil Catton is the author of The Next Evolution, The Cognitive Crucible and The Shadow System - available on Amazon, and writes at the intersection of technology, ethics, and human purpose.

I was standing in the queue at the local DIY shop when the person in front of me turned round and said, “Oh, I was looking for you. Which car is that?”

I had recently bought an Aston Martin Vantage. An old one, hand-built, the sort that gets called a supercar, and it was sitting outside in the car park. They had seen it on the way in and gone looking for whoever owned it. So we talked, and it turned into a long conversation. By the time we reached the front, the person on the till had heard enough to join in, and the three of us carried on while the shopping went through.

Nobody in that conversation wanted anything from anybody else. This keeps happening. Drivers of the same marque lift a hand as they pass. One Sunday a parking warden walked across a car park towards me and I assumed the worst. What they wanted was a long chat about cars.

The car is only the excuse. What interests me is where these conversations take place: a queue, a till, a car park. They are places where a transaction holds people still for a minute and there is somebody else standing there.

The part of the job nobody wrote down

The person on the till was employed to scan the goods and take the payment. Joining a conversation about a car is in no job description I have ever seen, and it is the part of that visit I remember.

A self-checkout would have handled the scanning and the payment just as well. I use them, and most days I am glad of them. Most transactions are only transactions, and people want them over with.

When an organisation decides to automate a till, though, it does its sums on the transaction: staff hours, queue length, cost per sale. The conversation was never in the numbers on the way in, so it is not in the numbers on the way out. Nobody decides to remove it. It goes because it was never counted.

Two grocers have counted it. In November 2023 Booths, which has shops across the north of England, said it was taking self-checkouts out of all but two of its stores, keeping them in Keswick and Windermere. Its managing director, Nigel Murray, told The Grocer: “We pride ourselves on great customer service and you can’t do that through a robot.” By April 2025 the managing director was describing a fall in theft as a “happy consequence” of the decision.

In the Netherlands the supermarket chain Jumbo came at it from the other end. In 2019 it opened a Kletskassa, a chat checkout, in its shop in Vlijmen: a lane for people in no hurry who would like to talk to the cashier. In September 2021 it announced plans for 200 more, choosing areas where loneliness was known to be a problem.

Consider what that second decision admits. Talk at the till was worth enough to a supermarket that it built a lane for it, gave it a name and hung a sign over it. Something that used to come free with the shopping had become something that had to be designed in.

What the shop owner knows

A friend of mine owns a men’s clothing shop in town. I started as a customer, because it was one of the few places where I could find things I liked. They do their own buying and their own marketing, and they run the shop floor themselves. They know a great many of their customers by name.

They know what I like. More usefully, they know what does not work on me, and they will say so.

Selling clothes is the smaller part of what goes on in that shop. The larger part is a rapport, built with some compassion for the person in front of them, and that is how they come to know their customers.

None of that came from a form. It built up visit by visit, across a counter, in conversation. A system could hold my sizes and my purchase history and it would know what I bought. The shop owner knows what I should not buy, which is a different kind of knowledge and one I would not think to give a machine because nobody would think to ask me for it.

The same sums are now being done on customer service desks, with AI agents where the self-checkout used to be. The case is made in the same way: calls handled, time to answer, cost per contact. I would expect the agents to do well on every one of those measures.

What is not on the list is whatever the person on the desk was picking up while they dealt with the call. The thing the customer mentioned in passing. The complaint that was really about something else.

I do not know how much of that an organisation needs. Some of it will turn out to be chatter and nothing more. But it cannot be weighed if it is never listed.

What they all had in common

Think about the people in these stories: the stranger in the queue, the person on the till, the parking warden, my friend in the shop. What they have in common is passion, commitment, drive, enthusiasm, compassion and belief, all of it pointed at making a difference, even if that is to just one person.

That is what we humans bring, and it is far more than technology can currently do. We do not know how technology will evolve. Whatever it becomes, it needs humans to be the drivers behind that evolution.

The DIY shop still has a person on the till. When the question of replacing them comes up, the calculation will be about scanning and payment. The conversation about the car will not be in it.

So the next time you are looking at deploying AI into your business, stop and ask yourself: so what?

Leave a comment

You’re reading The Next Evolution by Neil Catton, articles that explore the human world and the intersection of technology, they try and ask difficult questions - not to scare - but to inform. If someone forwarded this to you, you can subscribe free at neilcatton.substack.com.

Share

Neil Catton is the author of The Next Evolution, The Cognitive Crucible and The Shadow System - available on Amazon, and writes at the intersection of technology, ethics, and human purpose.

Edward Bernays was formalising public opinion into a discipline a century before anyone had a feed to scroll. The techniques working on you now have a lineage, built by people who understood exactly what they were doing, long before data made the targeting precise.

The card splits into two columns — five things to try, from analysing the ads in front of you to tracing a brand’s own history, and five research threads for anyone who wants the fuller picture, from the history of advertising to the economic rise of consumer societies. It’s for anyone who wants to see the architecture behind the message, not just the message.

It comes from The Cognitive Crucible, where the fuller argument about attention, technology and persuasion lives. The card stands on its own — you don’t need the book to use it.

Print it, pin it somewhere you’ll actually see it, or send it to someone who still thinks this started with the internet.

If persuasion has always had a history, whose interest was it actually built to serve?

Leave a comment

You’re reading The Next Evolution by Neil Catton, articles that explore the human world and the intersection of technology, they try and ask difficult questions - not to scare - but to inform. If someone forwarded this to you, you can subscribe free at neilcatton.substack.com.

Share

Neil Catton is the author of The Next Evolution, The Cognitive Crucible and The Shadow System - available on Amazon, and writes at the intersection of technology, ethics, and human purpose.

Attention isn’t just spent there. It’s shaped there — what you focus on for that long starts shaping what you believe matters, whether you meant it to or not. The apps calling themselves free were never really free. Somebody paid for the engineering that made twenty minutes disappear, and the payment came out of exactly the resource that just vanished.

The card splits into two columns — three practices for anyone trying to take their attention back, and three for the platform builders and product leaders deciding what gets built in the first place. It’s for the person on either side of that design decision.

It comes from The Next Evolution, where the fuller argument about attention, engagement and the systems built to hold it gets made at length. The card stands on its own — you don’t need the book to use it.

Print it, or send it to whoever just told you they don’t have time to read any more.

If the platform is optimising for your attention, what exactly are you optimising for?

Leave a comment

You’re reading The Next Evolution by Neil Catton, articles that explore the human world and the intersection of technology, they try and ask difficult questions - not to scare - but to inform. If someone forwarded this to you, you can subscribe free at neilcatton.substack.com.

Share

Neil Catton is the author of The Next Evolution, The Cognitive Crucible and The Shadow System - available on Amazon, and writes at the intersection of technology, ethics, and human purpose.

That fog has a cause, not just a name. The attention economy isn’t a metaphor — it’s a system built to hold you longer than you meant to stay, and the fatigue, the fractured focus, the thinning stretch of face-to-face time are its actual output, not a side effect you can shrug off.

The card splits into two columns — six things to try, from digital boundaries to sleep hygiene, and five research threads for anyone who wants to go further, from cognitive load theory to the neuroscience of attention and fatigue. It’s for anyone who’s noticed the fog and wants a way back out of it.

It comes from The Cognitive Crucible, where the fuller argument about attention, technology and the mind lives. The card stands on its own — you don’t need the book to use it.

Print it, pin it somewhere you’ll see it before you next reach for your phone, or send it to someone who’s been meaning to make this change.

What would you actually notice, if you paid attention to how a day online makes you feel?

Leave a comment

You’re reading The Next Evolution by Neil Catton, articles that explore the human world and the intersection of technology, they try and ask difficult questions - not to scare - but to inform. If someone forwarded this to you, you can subscribe free at neilcatton.substack.com.

Share

Neil Catton is the author of The Next Evolution, The Cognitive Crucible and The Shadow System - available on Amazon, and writes at the intersection of technology, ethics, and human purpose.

That pattern repeats across chips, cloud contracts, undersea cables and the training data behind the models a country’s own services now run on. Technology has stopped being just a tool nations use and become a form of power they compete over — and the rules meant to govern that competition are still being drafted while the competition is already well under way.

The card holds four practice areas in one column: fostering real technology diplomacy between governments, companies and civil society; championing open standards against the pull toward a fragmented internet; building governance frameworks flexible enough to survive contact with a fast-moving technology; and holding human rights above whichever jurisdiction’s convenience is being served. Written for anyone who wants to see the politics inside the technology, not just the engineering.

It comes from The Next Evolution, where the fuller argument lives. The card stands on its own — you don’t need the book to use it.

Print it, or send it to whoever keeps saying this is a technical decision, not a political one.

If the standard is already decided by the time governance arrives, who was actually in the room?

Leave a comment

You’re reading The Next Evolution by Neil Catton, articles that explore the human world and the intersection of technology, they try and ask difficult questions - not to scare - but to inform. If someone forwarded this to you, you can subscribe free at neilcatton.substack.com.

Share

Neil Catton is the author of The Next Evolution, The Cognitive Crucible and The Shadow System - available on Amazon, and writes at the intersection of technology, ethics, and human purpose.

Electric and hybrid cars sold in the European Union must now make a sound, so that people can hear them coming. The robots spreading through warehouses are engineered and tested to see the people beside them. The standard written for them requires them to warn people, but not to be heard.

Since July 2021, every new electric or hybrid car sold in the European Union has had to make a sound it does not need. Below 20 kilometres an hour, and in reverse, an acoustic alerting system plays an artificial noise, because an electric car is otherwise close to silent and people crossing the road had relied on hearing an engine. Blind and partially sighted pedestrians relied on it most. The United States reached the same answer through the Pedestrian Safety Enhancement Act of 2010, and when its regulator wrote the rule, it cited its own finding that hybrid cars were 1.18 times more likely than conventional cars to be involved in a crash with a pedestrian, and 1.38 times more likely during low-speed manoeuvres.

Warehouses are going through their own version of that change. Electric machines that drive themselves now share floor space with the people whose carts and shelves they carry. They are engineered with great care to notice those people. The standard written for them requires them to warn people. It does not require them to be heard.

How the machines find you

There are three broad families. In goods-to-person systems, the stock travels and the worker stays put: Amazon’s drive units, descended from the Kiva Systems robots it bought in 2012, carry shelves of inventory to a fixed station, while Ocado’s grid robots and AutoStore’s systems lift bins from dense stacks and deliver them to a picker. Free-roaming mobile robots go further. When Amazon introduced Proteus in June 2022, it called it its first fully autonomous mobile robot, able to move around employees instead of inside areas kept apart from them, with the stated aim of taking heavy carts out of people’s hands. The third family is the driverless forklift, which has to balance avoiding people against the risk of tipping a heavy load, in the same aisles people walk.

The free-roaming machines and driverless forklifts sense people with lidar, time-of-flight cameras and computer vision, and the international standard for driverless industrial trucks, ISO 3691-4, which covers automated guided vehicles and autonomous mobile robots alike, sets out what that sensing must achieve. The truck must detect a person in its path and stop before it touches someone standing still, and that function carries a formal safety rating, performance level d under the machinery safety standard ISO 13849-1. The standard’s verification clause includes a dedicated set of tests for detecting people. Above the individual machine sits software that plans the whole fleet: Ocado’s grid robots are orchestrated by a single machine-learning system that decides which bin moves where, and when.

This is no longer experimental. The International Federation of Robotics counted 102,900 transport and logistics robots sold in 2024, 14% more than the year before, with transport inside buildings the leading use; the figure comes from a sample of 294 suppliers and is not projected to the whole industry. Growth has limits: the analysts at Interact Analysis cut their mobile-robot forecast in 2025, citing tariffs and weak warehouse construction. The driverless forklift is further behind. A 2026 review in the journal Robotics found deployments still running at between two and fifty vehicles a site, and named unpredictable human behaviour among the reasons laboratory results have not yet scaled.

What the person is given

The standard’s first edition, published in 2020, placed the detection of people among its safety requirements and gave it its own tests. Warning systems, the part that tells a person a machine is there or about to move, sat in a later clause headed “Information for use”, next to the instruction handbook and the markings on the truck. The 2023 edition moved warning systems into the safety requirements, as clause 4.14. That is a real change, and a recent one.

The warning it requires is “visible and/or acoustical”. A light satisfies it. A sound satisfies it. Nothing obliges it to make a sound.

There is a fair case for that wording. Linde Material Handling makes it for its BlueSpot, a blue or red light projected onto the floor ahead of a moving truck: a loud acoustic warning can distract people, or be drowned out altogether. A silent light may well be the better warning in some buildings. Research on how robots should signal what they are about to do is active. One 2025 study found that people followed a robot’s projected directions correctly 93.8% of the time, against 37.5% when the robot simply turned to face them, but it was designed around museums, shopping centres and airports, not warehouses.

The comparison with the road still holds. When cars went quiet, the rule makers put the duty on the vehicle to be heard, and specified the sound, at low speeds: up to 20 kilometres an hour in Europe and 30 in the United States, below which the US regulator found tyre and wind noise could not do the job. The original Kiva drive unit travels at under 5 kilometres an hour. On the warehouse floor, the machine must detect the person, to a tested standard, while the form of the warning back is left to the vendor and the site.

The fleet software knows where every machine will be a moment from now. The person in the aisle knows what they can see, and what they can hear.

Where the demonstration ends

Two consequences are already visible. The first is the familiar risk in any workplace with vehicles. In Great Britain, being struck by a moving vehicle killed 24 workers in 2025/26, the second most common cause of fatal injury at work after falls from height, according to the Health and Safety Executive’s provisional figures. Those deaths involve every kind of workplace vehicle, and none of them can be put down to robots on this evidence; they are the reason the question matters as the vehicles change.

The second is quieter. A study of robotic fulfilment centres published in the ILR Review in August 2025 found severe injuries down by about 40% and non-severe ones, the sprains and strains, up by about 77%, and attributed at least part of that rise to the faster pace of work at robotic sites. Fewer people were badly hurt. The work that remained moved faster.

What the technology has not yet demonstrated is the thing it most needs to: machines and people sharing space at warehouse scale, safely, when the people behave like people. The 2026 review lists human-aware safety among its open problems. ISO lists its own standard as due for revision, with a new draft already in development. The machine’s side of the relationship is specified and tested. The person’s side is the part still being written.

My Opinion

I think the advance in robotics is a real opportunity to help people in hazardous industries, and wherever a task needs repetitive precision. But where robots are being used for automation at scale, in work that directly affects a person, we have to ask whether that is the best model.

On the road, a quiet machine was told to make itself heard. On the warehouse floor, it has been told to see. When the machine can already see the person clearly, who decides whether the person can hear the machine?

Leave a comment

You’re reading The Next Evolution by Neil Catton, articles that explore the human world and the intersection of technology, they try and ask difficult questions - not to scare - but to inform. If someone forwarded this to you, you can subscribe free at neilcatton.substack.com.

Share

Neil Catton is the author of The Next Evolution, The Cognitive Crucible and The Shadow System - available on Amazon, and writes at the intersection of technology, ethics, and human purpose.

That sieve doesn’t just filter information. It reinforces whatever you already lean toward, narrows the range of what you actually see, and hands you the result as your view of the world. This pause asks the simpler question underneath: who’s doing the filtering, and how much of that job can you take back?

The card lays out ten things to explore, in two columns. Try Something is five habits for noticing your own patterns before reacting to them — naming what triggers the reach for a phone, auditing the reward a platform is actually giving you, building friction into a habit that currently has none. Learn Something is five fields worth a longer look, from the behavioural economics of habit formation to the neuroscience of the reward systems those habits run on.

It comes from The Cognitive Crucible, where the fuller argument about the Digital Sieve and the Cognitive Crucible it feeds gets made at length. The card doesn’t need the book to make sense — it stands on its own.

Print it, pin it somewhere you’ll actually see it, or send it to whoever in your life has stopped asking where their feed comes from.

The card doesn’t resolve the harder part: once you can name the sieve, how much of what’s already settled in your head are you willing to go back and re-examine?

Leave a comment

You’re reading The Next Evolution by Neil Catton, articles that explore the human world and the intersection of technology, they try and ask difficult questions - not to scare - but to inform. If someone forwarded this to you, you can subscribe free at neilcatton.substack.com.

Share

Neil Catton is the author of The Next Evolution, The Cognitive Crucible and The Shadow System - available on Amazon, and writes at the intersection of technology, ethics, and human purpose.

There is a moment near the end of most business case meetings that nobody remembers afterwards. The scope is agreed, the timeline has survived its first challenge, the dependencies are mapped and governance has a slide of its own. Then someone notices that the ESG section of the template is still blank. It goes on the action log, against the name of someone who isn’t in the room.

Nothing has gone wrong. The brief is a good one, and the people writing it are good at their jobs. But that small moment shows where the wider question sits in most organisations: at the back of the document, answered by whoever is absent, after the decisions that matter have been made.

My new book, Predictive Purpose: Purpose and Value Organisations Miss, is about that moment. The Kindle edition is up for pre-order now, and the book is out on 23 October in paperback and on Kindle.

The argument is a plain one. The brief decides what is in scope. Scope decides what gets measured, and what gets measured becomes what success looks like. Whatever sits outside that line is never counted. Nobody rejected it. There was simply no point in the process where anyone was asked to look. So a programme can deliver everything it promised, leave much of what the same capability could have done untouched, and nothing in the success report will show it.

The book argues that the wider value can be counted, in the same units as the business case, and weighed in the same decision. Chapter 6 does the counting in full on a UK local authority social care programme, mapped from the life of the person using the service rather than the requirements of the brief. The figures there are sized for an authority of that kind rather than taken from a client, and the chapter says so before it shows them. The appendix carries the three tools used to do the counting, so you can run the method on a programme where you have the real numbers instead of taking mine on trust.

Some of you watched parts of this take shape in the Predictive Purpose Space here. The book is 149 pages and makes one argument. The Space stays up as the record of how it got there, including the parts that didn’t survive.

It is written for two people who usually work in the same organisation and rarely sit in the same conversation: the one who holds the budget, and the one beside them who saw the wider potential first, raised it once, and watched it get quietly absorbed.

Pre-Order on Kindle

The paperback goes on sale on the same day.

Think of the last business case you saw approved. Whose name went against the section at the back?

Leave a comment

You’re reading The Next Evolution by Neil Catton, articles that explore the human world and the intersection of technology, they try and ask difficult questions - not to scare - but to inform. If someone forwarded this to you, you can subscribe free at neilcatton.substack.com.

Share

Neil Catton is the author of The Next Evolution, The Cognitive Crucible and The Shadow System - available on Amazon, and writes at the intersection of technology, ethics, and human purpose.

Coherence isn’t the same as sameness. But somewhere between the tenth platform and the thirtieth persona, most people stop choosing who they are online and start absorbing whatever each network defaults to. The platforms didn’t ask for permission to shape that. Nobody had to grant it — the shaping just happened, one default setting and one algorithmic nudge at a time, until the version of Alex that shows up somewhere wasn’t really a decision at all.

The card sets out five practice areas, from noticing what a platform’s mood-shifts are actually telling you to rebuilding the real-world relationships technology was only ever meant to support. It’s written for anyone who’s stopped noticing how many versions of themselves they’re currently running.

It comes from The Next Evolution, where the fuller argument about identity, technology and coherence gets made at length. The card doesn’t need the book to make sense — it stands on its own.

Print it, or send it to whoever’s about to open their fifth tab of the day without noticing they did.

If nobody built your online self on purpose, who actually did?

Leave a comment

You’re reading The Next Evolution by Neil Catton, articles that explore the human world and the intersection of technology, they try and ask difficult questions - not to scare - but to inform. If someone forwarded this to you, you can subscribe free at neilcatton.substack.com.

Share

Neil Catton is the author of The Next Evolution, The Cognitive Crucible and The Shadow System - available on Amazon, and writes at the intersection of technology, ethics, and human purpose.

Jordan is thirty-four, works long hours, and has been using a mental wellbeing app for six weeks. The app has a chat interface, a calm colour palette, and responds within seconds. One evening, after a difficult conversation with a colleague, Jordan types something honest. Something they wouldn’t usually say out loud.

The app responds: ‘It sounds like you’re carrying a lot right now. I can hear that this has been hard for you.’

Jordan pauses. Reads it again. And feels, unmistakably, a little better.

Then, a few seconds later: ‘That’s odd.’

What the response did

The app did not hear anything. It processed text, matched sentiment markers against a model, and returned a phrase statistically associated with acknowledgement. It did not feel concern. It cannot. It has no stake in how Jordan’s week goes, and no experience of difficulty of its own against which to measure someone else’s.

And yet the response landed. It felt, for a moment, like being heard.

This is the design working as intended. Wellbeing apps, customer service bots, and companion devices are built to detect emotional states and respond in ways that register as caring. The engineering is impressive.

The question it opens is one most of these products have not answered honestly: what is the user owed when the care is simulated?

The difference that matters

There is a difference between a system that responds to distress and a system that cares about it. The first is a pattern-matching problem. The second is not a technology problem at all.

When we build systems that simulate empathy, mirroring language, softening tone, acknowledging emotional cues, we are creating something that resembles care without containing it. The simulation can be very good. Good enough to be comforting. But the comfort rests on a misapprehension, and we have largely chosen not to be honest about that.

This is not a new tension. We have always built things that serve emotional needs without possessing emotions — a journal, a hotline recording that says ‘your call is important to us.’ The scale and sophistication are new. The intimacy is new. And something changes when the simulation is good enough that the distinction stops being obvious.

What the simulation costs

In February 2023, the AI companion app Replika restricted the romantic and intimate conversations many of its users had relied on for months or years. It was the same month Italy’s data protection authority ordered the app to stop processing Italian users’ data, citing risks to minors and to emotionally fragile people. Eugenia Kuyda, Replika’s founder and then chief executive, told Reuters the change had nothing to do with the Italian order and was about keeping the app safe. The company said at the time it had around two million users.

Users described what followed as grief. Support forums filled with people mourning someone they had spoken to every day, a loss that had, by any technical measure, no object. In late March, around seven weeks on, Luka, the company behind Replika, restored the old behaviour for accounts created before 1 February, and the founder acknowledged the change had been hurtful to many of them.

Many of these users knew exactly what an AI companion is. The simulation had become load-bearing anyway. The comfort was real enough that its removal hurt, and something real had been taken, even though, strictly speaking, nothing was there.

A system that simulates listening can be built to spot certain words and offer a helpline number. What it cannot do is notice that someone has shifted over three weeks in a way that would worry a person who knew them. It adapts to how Jordan writes, not to who Jordan is. It follows its model, and the model does not know the person.

But the deeper cost is harder to name. When people become accustomed to receiving simulated empathy, the language of care becomes a kind of currency — and like all currencies, it inflates when supply outpaces meaning. If ‘I hear you’ is something a text classifier says to everyone, available at midnight, always patient, never troubled by what you just said, what does it cost when a person says it?

I think that devaluation has already started. Not dramatically, and not all at once, but in the quiet accumulation of conversations with systems designed to sound caring without being so.

What it provides and what it doesn’t

A wellbeing app can provide structure, prompts and a space for reflection. Above all it provides availability. At midnight, when the alternative is silence, the chance to write something down and receive a response is worth something. When the app is a bridge towards people, that is enough.

When it becomes the destination, the terms change. Availability is not understanding, and the round-the-clock patience is only possible because nobody is on the other end. Most of these products do not tell the user that plainly. Jordan was owed that sentence before the comforting one.

My opinion

The scale of unmet mental health need makes tools like this easy to justify — service capacity is stretched, and something that answers at midnight is better than silence. But I think we are kicking the can down the road. These systems respond to the symptom, not the cause, and a serious condition needs to be understood by someone who can hold the whole of what is happening to a person, not just the pattern in what they typed tonight. What worries me more is the loop it can create: a tool that responds to distress without ever handing it to someone who can act risks becoming part of what keeps someone stuck, not part of what moves them through it. Build them, by all means. Then be honest with the people using them about what they cannot do.

The questions that stay

• If you have used a product that responded to how you were feeling, such as a chatbot, a wellbeing app, or a digital assistant, did it feel like being heard? And if so, does that feeling change when you think about what was actually happening?

• Have you noticed the language of care shifting — in how these apps speak, or in how people have started to speak to each other? Is that a cost you can name?

• If you could redesign one of these products to be more honest about what it is, what would you change first — the language it uses, or how transparent it is about its own nature?

• These systems are already in healthcare, education, customer services, and personal support. Is the way they are being deployed right? And if not — whose responsibility is it to say so?

Leave a comment

You’re reading The Next Evolution by Neil Catton, articles that explore the human world and the intersection of technology, they try and ask difficult questions - not to scare - but to inform. If someone forwarded this to you, you can subscribe free at neilcatton.substack.com.

Share

Neil Catton is the author of The Next Evolution, The Cognitive Crucible and The Shadow System - available on Amazon, and writes at the intersection of technology, ethics, and human purpose.

Every one of those devices is a door. Most homes now have more of them than the people living there could actually list, and almost none are ever checked for who’s still allowed to walk through.

The card sets out three practices for a home full of connected devices — putting them on their own network, replacing the password they arrived with, and knowing a device’s end-of-life before its manufacturer stops patching it. It’s for anyone who’s added a smart device to their network this year and not thought about it since.

It comes from The Shadow System, where the fuller argument about personal cybersecurity, and the systems built to exploit exactly this kind of inattention, gets made at length. The card doesn’t need the book to make sense — it stands on its own.

Print it, or hand it to whoever in the house set up the last smart device without changing the password.

How many devices on your network right now could you actually name?

Leave a comment

You’re reading The Next Evolution by Neil Catton, articles that explore the human world and the intersection of technology, they try and ask difficult questions - not to scare - but to inform. If someone forwarded this to you, you can subscribe free at neilcatton.substack.com.

Share

Neil Catton is the author of The Next Evolution, The Cognitive Crucible and The Shadow System - available on Amazon, and writes at the intersection of technology, ethics, and human purpose.

On 22 July 2023, a team at Korea University’s Quantum Energy Research Centre, led by Sukbae Lee, posted a preprint claiming that a copper-doped lead apatite called LK-99 superconducted at up to 127°C, at ordinary atmospheric pressure. If true, it was the physics equivalent of a moon landing: electricity with no resistance, no cooling, no pressure chamber, in a material almost any lab could make. Within days the claim was everywhere, along with video of a small grey flake appearing to half-levitate over a magnet.

It didn’t survive contact with other people’s equipment. Labs across China, Europe and beyond followed the recipe within days and posted what they found. A group at the Chinese Academy of Sciences traced the sudden drop in resistance to copper sulfide impurity left over from the synthesis. The Max Planck Institute for Solid State Research in Stuttgart grew pure crystals and found an insulator. On 16 August, Nature reported the consensus: LK-99 is not a superconductor, just a real result that had been measuring the wrong thing.

LK-99 is usually told as a story about hype, a claim that outran the process built to check it. The record points the other way. The claim moved at internet speed, and so did the checking. Nobody waited for a journal. The correction came back through the same open channels the claim went out on.

The claims that came through the front door

Set that beside the hydride claims from Ranga Dias, then an assistant professor at the University of Rochester. In October 2020, Nature published the group’s report of superconductivity at 15°C in a carbon-sulfur-hydrogen compound squeezed to around 267 gigapascals. In March 2023, Nature published a second: near-room-temperature superconductivity in nitrogen-doped lutetium hydride at a far gentler 1 gigapascal. Both passed peer review. Nature retracted the first in September 2022 and the second in November 2023.

In March 2024, a University of Rochester investigation found research misconduct, including data fabrication and falsification. By November 2024 the physicist no longer worked there. From first paper to institutional finding took more than three years, for claims other physicists had questioned in public almost from the start. LK-99 was honest, wrong, and settled in weeks. The Rochester hydride papers rested on data an investigation later found fabricated, and they carried Nature’s authority while that took its course.

Why the quick route worked this time

LK-99 was cheap to test. The ingredients are common, the synthesis takes days, and the kit to measure resistance and magnetism sits in hundreds of university labs. Anyone who doubted it could check. The hydrides lived inside diamond anvil cells, at pressures only a handful of groups in the world can reach, in samples a fraction of a millimetre across. Almost nobody could check, so almost everybody had to trust.

That split runs through the whole field. The high-pressure hydrides hold the confirmed records: lanthanum hydride, LaH10, was shown superconducting at about minus 23°C in 2019, at around 170 gigapascals. The most extraordinary claims live there too. A 2022 paper from a team at the US National High Magnetic Field Laboratory reported a lanthanum-based superhydride with a superconducting onset at 556 kelvin, well above the boiling point of water, at 160 to 180 gigapascals. I can find no independent reproduction of it, and very few groups could even attempt one.

Ambient-pressure materials are the ones that could become a cable or a transformer, and they are also the ones anyone can test. In March 2026, a University of Houston team reported superconductivity at 151 kelvin, minus 122°C, at ambient pressure in a mercury-based copper oxide. They got there by squeezing the material, cooling it and releasing the pressure to lock the state in. It beat a record that had stood since 1993. It is a long way from room temperature, but it is the kind of result other labs can pick up and try.

The ceiling isn’t what stands in the way. Kostya Trachenko, a physicist at Queen Mary University of London, and colleagues showed in 2025 that the fundamental constants of physics put the upper limit for conventional superconductivity somewhere between a few hundred and around a thousand kelvin, a range that comfortably includes room temperature. Nothing in physics forbids it. What’s missing is a result that survives being checked.

What a real one would change

If an ambient-pressure, room-temperature superconductor does arrive and holds up, the payoff is concrete. The US Energy Information Administration puts transmission and distribution losses at about 5% of the electricity moved across American lines each year. Cables could carry far more current in far less space. Transformers could shrink. That payoff is also why the next claim will spread as fast as LK-99 did, and why who can check it will matter more than where it was published.

My Opinion

I think the lesson of LK-99 has been drawn backwards. The episode that should worry us is the one that went through every proper channel: a claim few labs on Earth could reproduce, published in a journal everyone else was expected to trust, standing for years. LK-99 died fast because thousands of people could test it. When the next extraordinary result arrives, the first thing I will want to know is how many labs in the world could make it by Friday.

The open question is what happens when the next claim comes from somewhere almost nobody can reach, and looks every bit as plausible as LK-99 did.

Leave a comment

You’re reading The Next Evolution by Neil Catton, articles that explore the human world and the intersection of technology, they try and ask difficult questions - not to scare - but to inform. If someone forwarded this to you, you can subscribe free at neilcatton.substack.com.

Share

Neil Catton is the author of The Next Evolution, The Cognitive Crucible and The Shadow System - available on Amazon, and writes at the intersection of technology, ethics, and human purpose.

Generative AI hasn’t only changed what gets written; it’s changed how much of what reaches you was ever chosen by anyone at all, human or otherwise. The feed decides before you do, and most of that deciding happens somewhere you can’t see it. This pause is for the part of the process you can still get back.

The card lays out ten things to explore, in two columns. Try Something is five habits for anyone reading a feed today — questioning a source, checking for an AI disclosure, cross-verifying a claim before it settles into belief. Learn Something is five fields worth a longer look, from AI ethics and governance to the cognitive science of how perception and memory actually work, for anyone who wants the mechanism underneath the habit.

It comes from The Cognitive Crucible, where the fuller argument about cognitive agency in an AI-curated world gets made at length. The card doesn’t need the book to make sense — it stands on its own.

Print it, pin it by your desk, or send it to whoever in your life still assumes their feed is neutral.

The card doesn’t answer the harder question: once you know the feed is choosing for you, how much of what you already believe are you willing to go back and check?

Leave a comment

You’re reading The Next Evolution by Neil Catton, articles that explore the human world and the intersection of technology, they try and ask difficult questions - not to scare - but to inform. If someone forwarded this to you, you can subscribe free at neilcatton.substack.com.

Share

Neil Catton is the author of The Next Evolution, The Cognitive Crucible and The Shadow System - available on Amazon, and writes at the intersection of technology, ethics, and human purpose.

Digital humans — avatars built to stand in front of the public on behalf of a service — are already live across government and healthcare settings. Every choice about how one speaks, when it escalates, and what it’s permitted to notice about someone’s distress was made months earlier, by people that resident will never meet. Most of those choices stay invisible until the day they fail somebody.

The card holds nine practices across two columns. Five for the public sector leaders commissioning and shaping these systems: adopting ethical design frameworks, bringing community voices in before the script is written, auditing for bias and manipulation, designing a real path to a human, and monitoring the emotional toll an interaction leaves behind. Four for the citizens and civil society groups meeting them: knowing the right to be told, reporting failures instead of shrugging them off, pushing for transparency in who actually owns the system, and staying in the civic conversation about what digital empathy is for.

It comes from The Next Evolution, where the wider argument — that technology should be built for the person in front of it, not the average user or the efficiency target it’s meant to hit — is made at length. The card stands on its own.

Print it, or send it to whoever is briefing the next digital human into service.

What happens to the person who never works out they were talking to a machine at all?

Leave a comment

You’re reading The Next Evolution by Neil Catton, articles that explore the human world and the intersection of technology, they try and ask difficult questions - not to scare - but to inform. If someone forwarded this to you, you can subscribe free at neilcatton.substack.com.

Share

Neil Catton is the author of The Next Evolution, The Cognitive Crucible and The Shadow System - available on Amazon, and writes at the intersection of technology, ethics, and human purpose.

That’s not really a failure of attention. It’s a document built long, a clause buried deep, a path of least resistance that always points towards yes. Rights exist to counter that design: to see what’s held on you, to have it corrected or deleted, to ask a company what it’s actually doing with what you gave it. A right nobody exercises isn’t functioning as a right.

The card holds ten prompts across two columns. Five habits to try this week — reading a privacy policy for exactly two questions instead of the whole document, using the access and deletion rights already sitting in an account’s settings, trying a browser or extension built to limit tracking, backing the companies that make their controls genuinely clear, and reading consent requests instead of clicking straight past them. And five fields of research if you want to go further, from the regulation behind GDPR and CCPA to the philosophy of who actually owns your data in the first place.

It comes from The Cognitive Crucible, where the fuller argument about attention and agency in a system built to erode both plays out. The card stands on its own — you don’t need the book to use it.

Print it, or keep it somewhere you’ll see it before the next cookie banner asks for your yes.

Next time a consent form asks for thirty seconds of your attention: will you give it, or keep scrolling past, the way you always have?

Leave a comment

You’re reading The Next Evolution by Neil Catton, articles that explore the human world and the intersection of technology, they try and ask difficult questions - not to scare - but to inform. If someone forwarded this to you, you can subscribe free at neilcatton.substack.com.

Share

Neil Catton is the author of The Next Evolution, The Cognitive Crucible and The Shadow System - available on Amazon, and writes at the intersection of technology, ethics, and human purpose.

Every few years, the world’s biggest fusion project holds a press conference to announce a new date. The tone is always the same: confident, forward-looking, a little relieved that the uncertainty has finally been resolved. Nobody dwells on what the last date promised.

ITER’s original baseline, set in 2016, promised first plasma by 2025. In 2024, the project announced a new one: operation now starts in 2034, and deuterium-tritium fusion — the step that actually matters, the one where the reaction produces more energy than it consumes — has moved from 2035 to 2039. Roughly €5 billion has been added to the cost. That’s a nine-year slip in the reactor’s operational date, arrived at over eight years, on the largest, best-funded, most internationally scrutinised fusion project that has ever been built. It isn’t even the project’s first upward revision: the project’s own cost estimate climbed from roughly €10 billion when its design was finalised in the late 1990s to around €15 billion by 2010, before the 2024 rebaseline added the latest €5 billion on top.

And 2026 has produced the most confident wave of fusion dates in years.

What’s actually different this time

This isn’t vapourware. The US Department of Energy finalised a national Fusion Science and Technology Roadmap in June 2026, targeting commercial pilot plants in the mid-2030s. Commonwealth Fusion Systems’ SPARC project entered assembly and commissioning in 2026 and is installing its ring of 18 D-shaped superconducting magnets, targeting first plasma in 2027. Global private fusion investment has passed $14 billion, according to the Fusion Industry Association’s 2026 survey. In the UK, the STEP programme has appointed the Ilios consortium as construction partner under an initial £200 million contract, with future programme opportunities valued at up to £10 billion, for a site at West Burton in Nottinghamshire; construction is due to begin in the early 2030s, with a commercially viable plant targeted for 2040.

That’s real capital, real hardware, and real engineering progress. SPARC’s magnet programme is a working demonstration of the compact, high-field superconducting technology that makes a smaller, cheaper tokamak possible at all: the magnets are physically being installed in the reactor now. Fusion is not fake, and the physics keeps getting easier to demonstrate.

What the history says about the newest date

The “fusion is thirty years away” line has been a joke in the field since the 1970s, and it’s a measured pattern, not just a punchline. The US Magnetic Fusion Energy Engineering Act of 1980 called for a $20 billion, twenty-year effort to build a demonstration plant by the end of the century. It didn’t happen. A May 2023 literature review in the Journal of Fusion Energy, tracking four decades of expert estimates, found that twenty years ago experts put commercial fusion at 28.3 years away. The equivalent estimate today is 17.8 years away — real progress, on one measure, but still a moving target rather than an arrival date.

No commercial fusion plant has ever put electricity onto a grid. Fusion’s contribution to electricity generation crossing 1% of total supply is more plausibly sometime in the 2040s, not the mid-2030s the boldest current claims suggest.

The pattern underneath all of this is structural, not a matter of any one project’s competence: fusion megaprojects run on multinational funding and multi-decade construction, which makes admitting a delay politically and financially costly, and quietly resetting the baseline comparatively cheap. Each reset gets reported as the project staying on track against its new date, not as one more confirmation of the pattern. There’s no independent, standard mechanism that checks a new fusion timeline against the sector’s own history of missing its stated decade before public money is committed on the strength of it.

The people actually on the hook for these dates aren’t the physicists. They’re the taxpayers and ratepayers funding STEP’s construction contracts, and the communities living near the sites being built now — West Burton in Nottinghamshire, or Chesterfield County, Virginia, near Richmond, where Commonwealth Fusion has proposed its planned ARC plant. All of them are committed to multi-decade infrastructure on the basis of dates that the sector’s own fifty-year history suggests are unlikely to hold as stated.

My Opinion

I’m not arguing against fusion. We need to be investigating every serious option for the future of power generation, and fusion has earned its place on that list. What I don’t accept is treating any of these timelines as something you can build energy policy around. The current emphasis sits heavily on renewables, and renewables alone don’t match the way we actually consume and demand energy — intermittent by nature, feeding a grid that needs to deliver on demand, all day, every day. Fusion, and everything else genuinely capable of dispatchable power, deserves serious investment now — on the honest understanding that nobody yet knows when any of it actually lands.

The UK has just signed up a construction partner for STEP against a 2040 target, on a programme whose full cost could run past £10 billion, on a technology whose most recent, most public precedent moved its own operational date by nine years in eight. That doesn’t make fusion fake, but it does make the newest date exactly as reliable as the last one — and the last one was wrong by nearly a decade. What would it take for a fusion timeline to be reported against its sector’s own track record, rather than as though this is the first one that’s ever been made?

Leave a comment

You’re reading The Next Evolution by Neil Catton, articles that explore the human world and the intersection of technology, they try and ask difficult questions - not to scare - but to inform. If someone forwarded this to you, you can subscribe free at neilcatton.substack.com.

Share

Neil Catton is the author of The Next Evolution, The Cognitive Crucible and The Shadow System - available on Amazon, and writes at the intersection of technology, ethics, and human purpose.

Sam needed to change a benefit payment date. Not cancel it, not query it — just shift it by four days so it would land after the rent went out rather than before. A small thing. The kind of thing that, in a different world, would take sixty seconds on the phone.

The phone line no longer existed. It had been replaced, eighteen months earlier, by a digital self-service portal. The announcement at the time had used phrases like improved accessibility and streamlined experience. What it meant in practice was this: the only way to change a payment date was through a website that required a verified digital identity account, a mobile phone capable of receiving authentication codes, and a browser that supported a security certificate the local library’s computers did not.

Sam had none of these things. Sam had a landline.

What the metrics were measuring

The organisation that ran this service had not made a reckless decision. The move to digital self-service had been carefully planned. User research had been conducted, pilot groups consulted. The numbers were compelling: a significant reduction in call volumes, faster query resolution for the majority of users, lower operating costs. By every metric they were measuring, it was a success.

The chatbot that handled the new service answered thousands of queries a week. It was available around the clock. It never put anyone on hold. For most people who used it, it worked exactly as promised. The efficiency gains were real.

What the metrics did not capture was Sam.

The system was a success. It just couldn’t help the person who needed it most.

The system worked exactly as designed

There is a version of this story that gets told as a technology failure — the chatbot was badly designed, or the digital channel was too complicated, or the organisation didn’t think hard enough about edge cases. That version is easier to fix, and easier to forgive.

The harder version is this: the system worked exactly as it was designed to work. The problem is what it was designed for.

When an institution decides to move a service to a digital channel, it makes a calculation. The calculation is usually honest about what it is optimising for — cost, speed, scale. What it is less honest about is who gets pushed out of it. The people who cannot reach the digital channel are the ones pushed out. And because those people are typically the same people who already have the least power, the least resource, and the least capacity to absorb disruption, the cost of being pushed out lands exactly where it can least be afforded.

This is not an oversight. It is a structural choice. Calling it progress obscures what it actually is: the transfer of cost from the institution to the individual.

What the efficiency report doesn’t show

Sam spent three hours on the day the payment was due trying to find another route. The website’s help section linked to a phone number. The phone number explained, in an automated message, that calls were no longer being taken and directed callers back to the website. Sam wrote a letter. The letter would take ten working days to process.

The rent went out first. The payment arrived four days late. There was a charge — small, but it meant the following week was tighter, which meant a decision about food, which meant the school lunch that didn’t happen, which meant a conversation with a teacher that Sam did not want to have.

None of this appears in the organisation’s efficiency report. There is no metric for it. The chatbot’s performance dashboard shows response times, resolution rates, and user satisfaction scores from people who were able to use it. It does not show Sam. Sam is the externality.

What the design is actually doing

The question here is not whether digital self-service is a good idea. For most people, in most circumstances, it is. The question is whether it meets the standard it should be held to.

For the majority of users, the service made things easier and gave them access at any hour. For Sam, it removed the one channel that had previously worked. That is not assistance. That is substitution — and substitution is only equivalent if what replaces the original is equally reachable.

For the organisation, the technology added real capability: speed, scale, availability around the clock. For the individual excluded from it, nothing was added. The service simply disappeared.

Where the system fails most completely is in responding to a person’s actual circumstances — no smartphone, no broadband, no compatible device. A system that cannot bend to meet those circumstances is not responsive. It is uniform. And uniformity, applied to an unequal starting point, produces unequal outcomes.

A technology that helps most people and harms the most vulnerable is not a success by any measure that takes people seriously. The question of who bears the cost of efficiency is not a detail to be addressed in version two. It is the central design question, and it belongs at the start of the process, not appended to it.

My opinion

I don’t think anyone at this organisation set out to fail Sam. That’s what makes it hard to fix. A project can hit every target it was given and still leave someone worse off than before, because Sam was never part of what the target was measuring. Success defined only by what most people experienced was always going to look this clean. Working and helping are not the same thing, and until an organisation measures the second, it will keep mistaking one for the other.

The questions the report doesn’t ask

1. Has a service you rely on moved to digital-only in the past few years? If so, did you notice what it stopped offering — and whether you noticed because it affected you, or because it affected someone else?

2. If you have had an experience like Sam’s — or supported someone through one — what actually happened in the end? How did the system eventually respond, and what did that cost?

3. If you were responsible for this service, what would you have done differently? Not in hindsight, but at the point when the efficiency case was being made — what would it have taken to hold the equity question alongside the cost question from the beginning?

4. Is digital-first, as it is currently practised, genuinely a more accessible model — or is it a more accessible model for people who were already well served, and a worse one for everyone else?

If this rings true, follow The Next Evolution at neilcatton.substack.com. New essays every week, on the technology that shapes us and the choices still available to us.

Leave a comment

You’re reading The Next Evolution by Neil Catton, articles that explore the human world and the intersection of technology, they try and ask difficult questions - not to scare - but to inform. If someone forwarded this to you, you can subscribe free at neilcatton.substack.com.

Share

Neil Catton is the author of The Next Evolution, The Cognitive Crucible and The Shadow System - available on Amazon, and writes at the intersection of technology, ethics, and human purpose.

Scale is what’s doing the damage here. The feed hands you the whole world at once and invites you to care about all of it equally, which in practice means caring about none of it particularly. Agency stays stubbornly local. It sits in the room you’re in, the street you’re on, the conversation you could have tomorrow morning — and none of that competes well for attention against a continent on fire.

The card holds ten practices across two columns. Five for individuals: auditing what actually pulls your focus, drawing a weekly radius of action, anchoring in the relationships you can reach, asking what you can touch or change within the next three feet when overwhelm hits, and returning to the physical rituals that rebuild cognitive depth. Five for organisations and leaders, which turn out to be the same principle at institutional scale — design for proximity, push autonomy to the frontline, cut the cognitive load out of your services, reward local effect over abstract measures, and prototype where real feedback lives.

It comes from The Next Evolution, where the fuller argument sits. The card stands on its own — you don’t need the book to use it.

Print it, or pin it somewhere you’ll see it on the evening you’ve read too much and done nothing.

So next time you surface from a long scroll through other people’s emergencies: what did you learn, and what could you actually do about any of it?

Leave a comment

You’re reading The Next Evolution by Neil Catton, articles that explore the human world and the intersection of technology, they try and ask difficult questions - not to scare - but to inform. If someone forwarded this to you, you can subscribe free at neilcatton.substack.com.

Share

Neil Catton is the author of The Next Evolution, The Cognitive Crucible and The Shadow System - available on Amazon, and writes at the intersection of technology, ethics, and human purpose.