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No strategy. No keyword research. No content calendar.
Just pure, passionate and driven human curiosity about a fast-emerging revolution called social media and the compulsion to share what I was seeing, thinking, and feeling about it in real time.
I wrote an essay a day for 5 years. My Grade 5 English teacher would be so pleased.
These were my thoughts. My ideas. My voice. Trying to make sense of this brave new and emerging world.
But in trying to help others I was finding myself.
That creation was not for machines. Not for an algorithm. Not for optimization. It was for other humans; the curious ones, the early ones, the ones who felt something shifting beneath their feet and wanted to make sense of it together.
I followed writers I admired. Read their blog posts at all hours. Shared their articles. Left comments that turned into conversations.
And slowly, something extraordinary emerged a global tribe. Real people, on every continent, sharing the journey in public. And online.
I watched the USA wake up late at night on Twitter from my quiet office nook on another continent in another time zone.
We met at conferences and stood in genuine awe of this new world that had captured our collective imagination.
The excitement was visceral. You could feel it.
We all leaned in.
Content exploded, but all of it was written by real people, from real experience, with real stakes.
The human signal was obvious. Human creation was celebrated. There were no shortcuts, no hacks, no prompts to feed a language model. There was just the raw material of a human mind trying to understand the world and connect with others doing the same.
That energy carried me to 33 million readers across 190 countries. Not because I out-optimized anyone. Because I was genuinely, unmistakably, irrefutably human.
Then something started to crack.
The First Chokehold
It was invisible on the outside. But the results revealed something breaking from the inside.
Facebook traffic, which had been a river of organic human attention, began to slow. Then slow even more to the creators that fed it. Then it almost stopped.
What was happening?
Facebook had started applying algorithms that throttled the human signal to maximise ad revenue. The global tribes that had emerged organically, the real communities built on shared curiosity were quietly sacrificed to the advertising stream.
The feed was no longer showing people what they cared about and the people and the communities that had collected around the digital town square. It was showing them what could be monetised.
I wrote a blog post at the time titled “Why You Should Forget Facebook” The premise was simple: stop relying on Facebook for organic traffic and human-driven attention. We were moving toward a web where reach was no longer earned. It was bought. It was being stolen from the creators and made into a “pay to play” platform. You became invisible to your hard earned followers.
That was the beginning. The first moment the machine started choking the human signal.
The search engines followed. Ads consumed the top of the results. Then Google snippets began summarising the websites that had fed the machine, giving people the answer without ever sending them to the source. The content creators who had built the web’s knowledge base were slowly being cut out of the equation.
SEO was now not about creating great human content. It was about engineering your content to satisfy an algorithm’s appetite. We adapted. We learned the rules. We optimized.
But in adapting, we started to change what we made.
The Final Chokehold
Then came the machine that changed everything.
Large language models with an AI chatbot face. We welcomed them with wonder, with excitement, and with some quiet suspicion. They offered both utopia and dystopia in the same sentence
What they did, at scale, was to scrape the entire archive of human expression, intelligence, creativity from songs to images to movies ever published on the web.
Decades of blog posts, articles, research, stories, debates, and ideas and use it to train systems capable of generating new content at near-infinite speed.
The same tools that consumed our work now offered to replace it.
We were told this was progress. We were told to optimize for the new machines. To structure our content so AI would cite it. To chase visibility inside a prompted answer.
A new acronym appeared: GEO. Generative Engine Optimization.
And here is where I want to say something clearly, from sixteen years of watching how these cycles play out:
GEO is a losing game for most of us.
It is high effort with opaque feedback loops. There is no direct conversion mechanism. You are optimizing for a system that rewrites its own rules invisibly and one that does not pay you, does not credit you, and cannot distinguish your singular voice from the homogenous average of everything it has consumed.
Today, it is estimated that 50% of all content on the web is AI-generated. The river has become a flood. Polished. Persuasive. Structurally perfect. And almost entirely without soul.
Most creators have handed their voice to the machine.
I am not willing to do that.
The Manifesto
We built this web for humans. We built it out of curiosity, and generosity, and the ancient human drive to share what we know with others who need it. That impulse is not obsolete. It is not inefficient. It is not something to be engineered away.
It is the only thing that has ever actually mattered.
And right now; in the era of AI slop, infinite generated content, and algorithmic attention markets it is becoming the scarcest thing on the internet. AI slop is homogenous, smooth, inoffensive and devoid of humanity and full of information. Finding the human signal in the noise of infinite content is like trying to find a microprocessor in a haystack.
That scarcity is the opportunity.
I am proposing a reorientation. Not a new tactic. A return to the original principle, armed with clarity about what we are actually doing and why.
I am calling it “Human Signal”
And we need to now optimize for our human signal.
That is human signal optimization. Or “HSO”.
Where SEO says be findable, and GEO says be cited, HSO says: be human and unique.
Make your voice your own. Be unique. But first you need to know who you are. That is your identity.
For many people they are told from birth to fit in. Be part of the crowd. Be the cog in the wheel. Don’t make waves.
The reality is that real authentic human power and energy rises from what makes us unique. We don’t need to shout. But it does require awareness of our individual agency.
And put a stake in the ground.
This means becoming aware of our human identity.
What’s your opinion?
What is your point of view?
What do you stand for?
What are you angry about?
Human signals are not a style. It is a substance. It is the presence of a specific human mind with a specific history, a specific set of hard-won beliefs, a specific way of seeing in everything you make.
If you can mine your unique signal, unearth your identity, then the force that rises will surprise you.
It is the thing an AI cannot manufacture, because it cannot live a life. It cannot earn the 4:30am mornings. It cannot accumulate the scar tissue that makes a perspective genuine.
It has never had a marriage break up or a business failure. It has never discovered and lost love. It never has had a crisis.
The diagnostic question I now run against everything I publish:
“Could an AI have written this?”
If yes, and you cannot point to something specific that makes it irreducibly yours, then it is just noise, not signal. One bedrock human signal is your “stories”
Human signal lives in six layers, and they build on each other from the ground up.
The foundation layers of Identity, Story, Expertise are slow to build and permanent once established. They are the bedrock. Most creators skip them because they require the kind of interior work that does not feel like marketing. But without them, everything above is fragile.
The activation layers of Evidence, Interaction, Community are where signals become visible and compound over time. But they only work when the foundation exists beneath them.
You cannot broadcast your way to signal. You have to build downward before you can grow upward.
The Reclamation
I am not sure exactly how we do this. This is an experiment from an observation of where we are and a life lived and of heading down a path that looks like a dead end.
No one has a complete map yet. The rise of artificial intelligence is challenging our humanity. But with educated awareness we can use it to amplify our humanity. We need to make sure we use it and not be used “by” it.
But I know what direction to move. And that is to be as fully as human as possible.
We have an opinion and we need to state it, even when it is uncomfortable.
We need to tell human stories specific, earned, honest ones that could not belong to anyone else.
We create from curiosity, not from a prompt.
We build for the human reader, not the generative model.
We design our future from “our “identity.
The free and open web was built by human signals. It was built by people like the ones I met in 2009. Leaning in, sharing ideas, forming tribes, celebrating each other’s creation.
Somewhere along the way, we were gradually nudged, throttled, and optimized into something smaller than that.
I am claiming it back.
The category has a name now. The era has begun.
It is time to lean into our own Human Signal.
And optimize for that.
No more bowing to the machines or the platforms.
We still need them but they also need us.
It is time to be unmistakably, irreducibly, irrefutably human.
For some reason it drew me in. And every lunch time I became the librarian’s best friend.
I was always looking for books about pirates, tropical adventures and exploring crystal clear turquoise seas and lagoons.
I’d disappear into my imagination sparked by words and travel to other worlds. Books were a time travel machine. And I didn’t need to leave my chair.
They were also the gateway to knowledge, the school grades, and vocabulary. It changed the shape of my interior world. It gave me other lives to inhabit, other minds to borrow, other centuries to visit. Reading didn’t just inform me. It formed me.
Now I watch my own grandchildren navigate a world where that formation isn’t happening. 15 second videos just distract. No imagination needed.
They are smart, curious and full of energy and need the deep reading habit, even if they don’t realize it.
The habit that builds something essential in the architecture of a person is absent. And I believe, as much as I believe anything, that their life could be less for it if they don’t develop a deep reading habit.
This isn’t nostalgia. This is a diagnosis. And science agrees with it.
“If your child becomes a reader, about 80 per cent of the education job is already done… Reading is the meta-skill that enables all other skills.”
Michael Strong, educator
The Operating System Nobody Noticed We Were Losing
Every skill has a foundation. Mathematics rests on number sense. Music rests on pitch discrimination. Sport rests on coordination. But reading is different.
It is the foundation beneath the foundations.
Educator Michael Strong puts it plainly: “If a child becomes a reader, 80% of the education job is already done”.
History requires reading. Science requires reading. Even mathematics, increasingly, requires reading and the ability to parse a multi-step problem, extract meaning, hold structure in working memory.
Reading is not a skill. It is the meta-skill.
The operating system on which everything else runs.
Which means when we allow reading to atrophy in a generation, we are not producing people who have simply read fewer books. We are producing people whose cognitive architecture has been built differently. The scaffolding is thinner. And we may not see the full consequences for another twenty years.
The Science of Friction: Why Hard is the Point
Here is the paradox at the heart of the reading debate: the thing that makes reading feel difficult is precisely the thing that makes it valuable.
When you open a video, it begins. Light and motion and sound are delivered directly to your senses. Your brain’s job is largely one of reception. When you open a book, nothing happens until you make it happen.
Your brain must decode abstract symbols, convert them to phonemic sound, construct meaning, generate mental imagery, hold prior context in working memory while building toward inference and all simultaneously, all in real time, all self-directed.
This is not a design flaw in reading. It is the mechanism. The friction is the feature.
COGNITIVE LOAD THEORY (Sweller, 1988): Reading imposes higher intrinsic cognitive load than video because the learner must construct meaning rather than receive it. This active construction is precisely what builds durable knowledge structures in long-term memory.
Cognitive scientist Robert Bjork at UCLA named this principle the theory of Desirable Difficulties. The conditions that make learning feel harder in the short term:
1. Reading versus watching
Watching feels easier because the speaker, visuals, tone, and pacing do much of the work for you.
Reading usually demands more mental effort because you have to slow down, interpret, connect ideas, and build meaning yourself. But the real issue is not reading versus watching. It is passive consumption versus active processing. The best learning happens when you pause, question, recall, summarize, and apply what you are learning.
2. Recalling versus recognising
Recognition feels like learning because the answer looks familiar when you see it. But recall is much stronger because you have to produce the idea from memory without prompts.
That effort strengthens understanding.
A simple test is: Can I explain this without looking?
If not, the idea is still borrowed. Real learning begins when you can retrieve it, teach it, and use it in your own words.
3. Spacing practice versus massing it
Cramming feels productive because progress appears fast, but much of that learning fades quickly.
Spaced practice feels harder because you forget between sessions and have to work to retrieve the idea again.
But that struggle is the point. Returning to an idea after time has passed strengthens memory and makes learning more durable. In other words, forgetting is not always a failure. It can be the doorway to deeper learning.
Video is not a desirable difficulty. It is an undesirable ease. You feel as though you’ve learned something.
But studies consistently show you have not learned at the depth the medium implies.
Figure 1: Cognitive effort required by medium. Social media and short-form video sit far below the active-construction threshold. Deep reading is the most cognitively demanding common medium. Source: Sweller (1988), Mayer (2009), Wolf (2018).
The chart above illustrates something counterintuitive: the media we consume most readily such as social feeds, short video, require almost no active cognitive construction.
They sit at the passive end of the spectrum. Deep reading sits at the opposite extreme. And it is precisely that position that makes it cognitively transformative.
The question is not whether reading is harder. It obviously is. The question is whether the hardness is a bug or a feature. The science is unambiguous: it is the feature.
Your Brain on Reading vs Your Brain on Video
For most of human history, we assumed reading and watching activated roughly the same mental processes. Neuroscience has spent the last two decades dismantling that assumption.
When you read deeply, you are not simply processing language. You are running a full-brain simulation.
Neuroscientist Stanislas Dehaene’s research at the Collège de France showed that reading activates what he calls the brain’s reading network, a distributed system spanning visual cortex, language areas, and crucially, the motor cortex. When you read the sentence ‘she kicked the ball,’ the neurons associated with kicking activate. Reading is embodied. You are not just understanding action. You are, at a neurological level, performing it.
Cognitive neuroscientist Maryanne Wolf, whose book Reader, Come Home stands as the definitive account of the reading brain, found that deep reading also activates the prefrontal cortex for inference and critical thought, and the default mode network for empathy and self-reflection. These are not incidental byproducts. They are the architecture of wisdom.
Passive video consumption activates a dramatically narrower set of systems.
Visual cortex.
Auditory cortex. Partial activation of the limbic system for emotional content.
The prefrontal cortex, the seat of critical thought and inference — is largely disengaged.
Figure 2: Relative neural activation across six major cognitive systems — deep reading versus passive video. Reading engages 4× more cognitive systems at meaningful intensity. Source: Wolf (2018), Dehaene (2009), Mar et al. (2006).
This is not a marginal difference. Reading engages four to five major neural systems at high intensity. Passive video engages two. The brain that reads regularly is exercising a significantly broader set of cognitive muscles than the brain that primarily watches. Over years of childhood development, this produces a measurably different cognitive architecture.
Raymond Mar’s research at York University (2006, 2010): People who read fiction extensively showed significantly greater empathy, social cognition, and theory of mind scores than non-readers — independent of their personality type. The effect was causal, not merely correlational.
The Retention Illusion: What You Actually Remember
Video creates a seductive cognitive illusion: the feeling of having understood something. The production values are high, the presenter is confident, the graphics are clear. You arrive at the end feeling informed.
The research on what actually transfers to long-term memory tells a different story.
Studies by cognitive psychologists Henry Roediger and Jeffrey Karpicke on the testing effect show that the act of retrieving information, which reading with active engagement requires and passive video does not is the primary driver of long-term retention.
Reading, because it forces continuous active construction of meaning, is inherently more retrieval-like than viewing. Every paragraph requires you to integrate new information with what you already hold in working memory. Video does not.
Figure 3: Information retained after one week by consumption medium. Passive video and social content show 5–8% retention. Deep reading with reflection retains up to 72% of core concepts. Source: Roediger & Butler (2011), Mayer (2009), Bjork (1994).
The data here is stark.
Passive video produces retention rates in the single digits after one week for complex conceptual material.
Deep reading with active engagement retains 60–72% of core concepts.
The medium that feels like learning is not, at the level of durable knowledge, the medium that produces it.
Richard Mayer’s extensive research on multimedia learning adds further nuance. Video is genuinely superior for procedural, visual tasks, how to assemble something, how to perform a physical movement.
But for conceptual, analytical, and inferential material, the substance of education; reading consistently produces superior comprehension and retention.
We have built an education system that is migrating toward the medium better suited to assembly instructions, for material that fundamentally requires the medium better suited to understanding.
The medium that feels like learning is not, at the level of durable knowledge, the medium that produces it.
The Friction-Reward Curve: Why Reading Always Wins the Long Game
There is a moment, familiar to every reader, approximately ten to fifteen minutes into genuine engagement with a difficult text, when the friction dissolves. The resistance that makes starting feel effortful converts into something else.
Absorption, momentum, the peculiar sensation of being inside an idea rather than alongside it.
This is not an accident or a personality trait exclusive to book lovers. It is a predictable neurological event. The cognitive systems engaged by reading reach a threshold of activation at which they begin to self-sustain.
The reading effort becomes flow.
This is what video, precisely because it delivers its content frictionlessly from the first second, cannot produce in the same way.
Figure 4: Cognitive and knowledge return over time for deep reading versus passive video. Reading’s initial friction converts to compounding reward. Video’s instant gratification decays rapidly. Curves cross at approximately 12–15 minutes — the absorption threshold. Source: Bjork (1994), Karpicke & Roediger (2008).
The absorption threshold that is visible as the crossover point on the curve, sits at roughly twelve to fifteen minutes into sustained reading. This is the precise duration that dopamine-optimised content is designed to prevent you from ever reaching.
Fifteen-second videos, thirty-second reels, three-minute YouTube segments. The algorithm has been engineered, with extraordinary precision, to keep users permanently on the left side of that crossover point.
Not because that is good for the user. Because it is good for engagement metrics.
DESIRABLE DIFFICULTIES (Bjork & Bjork, 1994): Learning conditions that introduce manageable difficulty — including the effort required to construct meaning during reading — enhance long-term retention and transfer. Conditions that reduce difficulty (passive viewing) enhance short-term performance but impair long-term learning.
The implication is significant. A child who grows up primarily on video content is not merely a child who has watched more than they have read. They are a child who has never regularly experienced the absorption threshold.
They have never discovered that the friction converts. They know only that reading is hard, and that the alternative is easy. They do not know because they have not been allowed to find out what waits on the other side of twelve minutes.
The Displacement: What the Smartphone Actually Stole
The newspaper clipping that prompted this article makes an honest admission: if the author had owned a smartphone at age 14, they would never have read a book. This is not weakness. This is neuroscience.
Reading requires tolerating approximately thirty seconds of ‘nothing happening’, which is the threshold before a paragraph yields its first reward. Social media feeds have been engineered to eliminate that thirty seconds entirely. The reward is delivered before the delay is felt.
After sustained exposure to this model, the thirty-second threshold becomes neurologically intolerable. The baseline expectation for stimulation has been permanently adjusted upward. The child is not choosing video over books in any meaningful sense. Their reward circuitry has been recalibrated such that the choice is already made before they sit down.
Jonathan Haidt’s research in The Anxious Generation identifies the critical window for this recalibration: ages 10 to 14. This is precisely the developmental period when deep reading habits are either formed or permanently missed. The smartphone arrived, in mass-market form, directly into that window. The consequences are not yet fully visible. But they are already in motion.
The Mental Health Connection Nobody Fully Understands Yet
The link between the reading crisis and the adolescent mental health crisis is ‘probably’ real but for reasons ‘nobody fully understands.’ That epistemic humility is worth preserving. But we can identify mechanisms.
Reading: sustained, immersive, narrative reading, is one of the oldest and most effective tools for what psychologists call self-regulation. When you inhabit a character in genuine difficulty, you are practising emotional modulation at a safe distance. You are learning to sit with discomfort, uncertainty, ambiguity, and resolution and the full emotional arc, without the stakes being real. This is psychological weight training.
Social media does the opposite. It rewards emotional reactivity, performance anxiety, social comparison, and the constant monitoring of external validation. It is not merely that social media replaced reading time. It replaced a self-regulatory practice with a dysregulatory one.
The mental health crisis and the reading crisis may not be parallel phenomena. They may be the same phenomenon, seen from different angles.
The mental health crisis and the reading crisis may not be parallel phenomena. They may be the same phenomenon, seen from different angles.
The Class Divide That No One Wants to Name
Reading is becoming a class marker. In households where parents read, where books are visible and valued, where children see adults choosing a book, reading rates have declined less steeply. These children are falling behind their own parents’ generation, but not as dramatically as their peers.
In households without that modelling, which correlates imperfectly but measurably with socioeconomic status and time poverty, the smartphone filled the void completely. The consequence is a growing cognitive divergence that will compound economically.
The jobs most resistant to automation will overwhelmingly require sustained reading capacity; complex reasoning, contextual judgment, the ability to parse ambiguity. We are concentrating those capacities, right now, in the children of people who already have them.
We are not just watching an educational crisis. We are watching the early formation of a new inequality, with reading at its foundation.
Can You Recover? The Question That Matters Most
The research on neuroplasticity is genuinely encouraging. The reading brain can be rebuilt in adulthood. It takes longer. The window of effortless acquisition has closed. But the window is not locked.
Adults who commit to sustained reading and even those who haven’t read seriously since childhood, can recover significant deep reading capacity within twelve to eighteen months of consistent practice.
The key word is sustained. Not scanning. Not skimming. Actual linear reading of long-form text, for at least thirty minutes daily, without the phone in the room.
Fiction accelerates recovery as it activates empathetic imagination more than non-fiction.
Difficult material that requires re-reading deepens the gains.
And physical books outperform screens: the spatial memory cues of a physical page measurably aid comprehension and retention.
For children who have not yet developed the habit, the intervention is more straightforward, but requires adults who model it. Children who see parents reading are dramatically more likely to read themselves. Not because they are told to. Because the behaviour is made legible as something adults choose freely.
What a Reading Life Actually Gives You
A reading life gives you a populated interior world. When you have lived inside the consciousness of a nineteenth-century Russian aristocrat, a dying soldier, a grieving mother, a child discovering cruelty for the first time, you do not encounter human diversity as theory. You have already been there.
A reading life gives you language as a precision tool. The person who has read widely has access to distinctions the person who has not simply cannot make and not because they are less intelligent, but because they have not been given the vocabulary for those distinctions.
Language is not just expression. It is the structure of thought.
A reading life gives you time. Every book is a conversation with a mind that spent years distilling what it knows into the clearest possible form. No other medium offers that ratio of return.
And a reading life gives you the capacity to be alone without being lonely, perhaps the most underrated gift in an age of manufactured connection and genuine isolation.
The Verdict
We are not watching children make different choices about how to spend their leisure time. We are watching the systematic removal of a cognitive and emotional infrastructure that took millennia to build and is being dismantled, platform by platform, in a single generation.
The friction of reading is not a design flaw. It is the entire mechanism. The thirty seconds before the page opens. The twelve minutes before absorption begins. The slow accumulation of a mind that knows how to sit with difficulty and come out the other side changed. These are not inconveniences to be optimised away. They are the process.
Video gives you content.
Reading gives you a mind capable of doing something with it.
The answer is not to condemn technology or retreat into nostalgia. The answer is to understand what is being lost with clear eyes, name it without sentimentality, and make deliberate choices in our homes, our schools, and our own daily lives to protect something ancient, irreplaceable, and quietly essential to everything we think we value.
Read. Then read more. Not because it is virtuous. Because it is the closest thing to a superpower that remains freely available to every human being on earth.
In 1956, the United States Navy introduced a weapon that would redefine what it meant to pursue a target. The AIM-9 Sidewinder was the first successful heat-seeking air-to-air missile and its principle was elegant in its brutality.
And it was unstoppable.
Lock onto a heat signature. Ignore everything else. Close the distance at speed. Don’t stop.
The early Sidewinder was crude. It could only pursue a target from behind, chasing the raw heat of engine exhaust. If the enemy banked sharply, or fired a flare bright enough to produce more heat than the aircraft itself, the missile would break lock and spiral away into empty sky. It was powerful. But it was not yet precise.
Then the engineers kept working.
Seventy years of iteration
That is what it took to produce the AIM-9X Block II, a weapon with an imaging infrared seeker that doesn’t chase heat. It recognises the exact shape of its target. It carries the target’s identity in its guidance system. When decoy flares ignite, bright, hot, designed to look more attractive than the actual aircraft, the missile doesn’t flinch. A flare doesn’t have wings. A flare doesn’t have the same profile. A flare is noise. The missile knows the difference, because it knows exactly what it is looking for.
Here is the insight that changes everything: the missile was never the interesting part. The guidance system was.
Missiles?
I became that heatseeking missile in 2009 when I started this blog. I had a curiosity about the rise of social media after joining Facebook in 2009, and that became a burning obsession that changed my life.
I created this blog on April 1, 2009 and it was where I shared my amateur insights on observing the rise of the fanatical use of social media including Twitter and Facebook that had been primed by the rise of MySpace a few years earlier and what I sensed was a revolution that would change the world. That intuition and that whisper was the start of an adventure that continues today, 17 years later.
As I wrote and shared my posts with my slowly growing Twitter followers (that is now over 500,000 followers) I started to receive affirmation for my writing and opinions as people followed, commented and shared to their followers. That affirmation turned into motivation as I wrote I learned and distilled and interpreted this new social media era.
That motivation became so profound and powerful that I started rising at 4.30 am wrote for the next 5 years on my side hustle before starting my day job at 9am to write one post, and hit the publish button and send the link to my Twitter followers.
I had discovered my mission.
The reality is that a missile without a target is an explosion looking for somewhere to happen. Raw energy. Enormous potential. Zero direction.
The moment a target is acquired and the moment the seeker locks, that same energy becomes a mission. Focused. Purposeful. Essentially unstoppable.
That missile could be you.
Or rather, it is who you become, when you answer the one question the distraction economy is specifically engineered to prevent you from ever reaching:
What am I here to build?
But there is a distraction economy designed and built to steal your time and hide your mission.
A $600 Billion Industry Built to Distract You from Your Mission
The modern attention economy does not just steal your time. If that were all it did, the maths would be recoverable. You could take a week offline, recalibrate, come back sharper.
What it steals is the signal acquisition phase, the sustained, uninterrupted interior conversation through which a human being comes to understand what they are genuinely for.
The pull that is deeper than motivation.
The obsession that makes 4:30am feel like a reasonable alarm.
The specific compulsion that, once found, makes discipline irrelevant because the work is more compelling than any alternative.
The attention economy is a documented, engineered system designed to occupy that psychological space before self-knowledge can take root.
Former Google design ethicist Tristan Harris has testified before the United States Congress that the notification architectures of the major platforms were explicitly built to create compulsive checking behaviour, not to inform users, but to colonise the idle moments in which reflection and self-inquiry would otherwise occur.
They hired the best behaviour engineers in the world.
They ran experiments at a scale that would make any psychology lab weep.
And then they built a countermeasure to human purpose. Keep you distracted and picking up your phone to maximize their revenue.
This is an infinite stream of content precisely calibrated to your individual psychology and your specific dopamine thresholds, your particular emotional triggers, your unique patterns of loneliness, ambition, and boredom, that fires continuously and keeps you reactive, distracted, and, crucially, unknown to yourself.
“Brain rot” was the term that Oxford University Press named it the Word of the Year for 2024, reflecting its emergence as the defining cultural anxiety of the age and it is not an accident. It is an output specification. It is what you get when you design a system optimised to prevent the target lock.
The Scale of the Addicted Distraction
We see distraction everywhere as people approach you on the sidewalk with a phone in their hand, not looking up but screen addicted. They can’t wait more than a few seconds to check their phone.
They cross pedestrian crossings without looking up and assuming that a similarly distracted driver isn’t checking their phone. A close friend of mine had an acquaintance who didn’t realize that type of behaviour was deadly.
But as an observer of human behaviour in the wild I am curious about how and why the distraction and obsession with the device and its app is so important.
The questions I am asking in my head watching the approaching mobile and social media addicted zombie on a street and what has become a modern and dysfunctional behaviour, and what is now seen as normal (Note: that activity is not normal) are the following existential questions that I am assuming happened to the approaching distracted person in the last 30 seconds.
Is the sky falling in?
Is there is a nuclear holocaust I haven’t heard about
Has someone close to them died.
And don’t get me started about phones at the dinner table!
So for fun and with no judgment I looked at some data.
Before we examine the mechanism, we should understand the scale.
A Generation-by-Generation Audit
Research published in 2025, surveying over 1,000 Americans, found that the average person now spends 5 hours and 16 minutes on their phone every single day which is a 14% increase in a single year, on numbers that were already alarming.
That figure excludes television, desktop computers, and tablets.
The generational breakdown forces a reckoning with how total the occupation has become:
Teenagers (13–18): 8 hours and 39 minutes per day on screens for entertainment and not counting a moment of school-related use
Gen Z (18–28): approximately 9 hours per day across all screens; one in four report between 9 and 12 hours
Translate the Gen Z number into annual terms and the picture sharpens painfully: 3,285 hours on screens per year for entertainment. That is 137 full days. More than four months of continuous waking life handed over to platforms that were designed, from their first line of code, to benefit from your continued distraction.
The new floor is higher than the old ceiling. This is not a phase. It is the operating condition of modern life.
The Interruption Architecture
The screen time numbers are the strategic problem. The interruption data reveals the tactical mechanism.
UC Irvine Attention Lab research found that it takes an average of 23 minutes and 15 seconds to return to a state of deep focus after a single interruption. The average knowledge worker is interrupted every 3 minutes. The implication is stark: most people never achieve deep focus at all during a working day. They spend the entire day in the shallows — perpetually mid-recovery, perpetually mid-context, perpetually reacting.
And neuroscientist Dr. Jared Cooney Horvath has argued in widely-cited research that Gen Z is the first modern generation to perform worse academically than the one before it. And it is declining across attention, memory, literacy, numeracy, and executive function.
The long-running “Flynn Effect”, that the steady generational rise in IQ that held across most of the 20th century may be reversing.
We are not just losing hours. We are degrading the hardware that the mission would run on.
A Missile Without a Target Is Just an Explosion
Here is the question the productivity industry has built a $43 billion empire avoiding: What if the problem isn’t execution at all?
The entire apparatus, the time-blocking frameworks, the inbox-zero methodologies, the habit stacking systems, the nine active software tools per day the average knowledge worker now juggles.
It all presupposes that you know what you are trying to do. That you have a target. That your problem is getting there faster.
Most people do not have a target. They have a vague, socially constructed approximation of success.
A job title to achieve,
A revenue number to hit,
A lifestyle to perform
And they are optimising toward it with increasing efficiency while a quiet, persistent voice asks whether this is actually what they are for.
The early Sidewinder missile without a locked target was just a projectile, fast, powerful, and utterly directionless. That is the human condition inside the distraction economy: enormous capability, enormous energy, no lock.
The algorithm keeps it that way deliberately. A person without a clear identity is the ideal customer. They are permanently available for re-engagement. They click. They scroll. They react. They come back.
The moment a person acquires their target and the moment they know, with precision and intuition, what they are specifically here to build.
When they know what energises them
What they want to build.
What their direction in life is
They become a different kind of entity.
Notifications lose their authority. Invitations that don’t serve the mission become visible as the distractions they always were. The algorithm has not changed. Their relationship to it has. They are now the AIM-9X, carrying the target’s precise identity in their guidance system. Flares don’t work on missiles that know exactly what they are looking for.
The Second Countermeasure: AI Without Identity Is Amplified Drift
The introduction of AI into this landscape has raised the stakes considerably and not in the way most commentary suggests.
The conversation about AI and attention is almost entirely focused on AI as a distraction generator: the infinite content, the AI-generated feeds, the frictionless creation of noise. That is real. But it is the smaller problem.
The larger problem is this: AI amplifies direction.
If your direction is clear
If you know what you are building,
What signal you are following, what problem only you are positioned to solve.
AI becomes an extraordinary accelerant.
It compresses the gap between intention and execution. It handles the generic work so you can inhabit the irreplaceable work more fully.
But if your direction is unclear and if you have not yet acquired your target, AI does not give you one. It gives you faster, more sophisticated drift. You can produce more, react to more, engage with more, create more noise.
The output volume increases. The signal does not appear. You become measurably more productive at going nowhere in particular.
This is why the identity question is not a philosophical luxury. In an economy where AI can execute almost everything, the question of who you specifically are, your particular angle of vision, your irreplaceable obsessions, your unique combination of experience and conviction, is the only question that determines whether AI serves your mission or absorbs your life.
Self-knowledge is not soft. It is the operating system. Without it, every tool in the stack and including the most powerful AI ever built is a hammer in search of a nail.
Acquire the Target. Become the Missile.
You can choose your target if you know what your mission is. Finding out why you are here. That means you have a purpose that rises from your unique identity.
Or, you can decide to drift and be tempted and distracted to follow some else’s mission. To be playing on a platform and a device where you are the hunted, the product, the victim.
Are you drifting or are you a heat seeking missile?
The crucial distinction in the missile evolution was never speed or explosive yield. It was target acquisition precision.
The Sidewinder was defeated by flares because it could not distinguish a bright heat source from the specific thing it was supposed to be chasing. It lacked the ability to know its target well enough to reject what was merely bright. The modern imaging seeker resolved this not by making the missile faster or more powerful, but by giving it a richer, more precise model of what it was actually looking for. The target’s shape. Its profile. Its identity.
That is the work. Not productivity. Not habit systems. Not AI tool selection.
The work is knowing your own mission with enough precision that no flare, no matter how bright, how urgent, how socially validated, how algorithmically personalised can break the lock.
What That Lock Actually Feels Like
I built jeffbullas.com to more than 33 million readers over a decade, rising at 4:30 in the morning to write before the day had a chance to become noise. People ask about discipline. There was none. Not in the way people mean it. Discipline is what you need when you are doing something that doesn’t pull you.
What I had was an obsession with a question: Why was social media suddenly giving everyone a voice, and what did that mean for human communication and power? That question was mine in a way no one else owned it at that particular moment in history. It produced its own momentum. The 4:30am alarm was not an act of will. It was a response to a target acquired.
A moment in time
In 2019, at the World Youth Forum in Sharm El-Sheikh, Egypt, surrounded by some of the most ambitious young minds on the planet, I had a different kind of reckoning. I had been invited to defend social media and standing there, I realised I had built my entire career amplifying a technology I had never examined with clear eyes.
The platforms had been using me and others as much as I had been using them. I had mistaken facility for alignment. I had been the early Sidewinder, chasing the brightest heat source, not the most important target.
That inversion changed everything. And it is the founding insight of Zyrro.ai and the recognition that in the age of AI, the most urgent infrastructure gap is not more productivity tools.
It is the process and space for serious self-inquiry: the systematic work of knowing who you are, what you are for, and how to build from that with enough clarity that the distraction economy cannot break the lock.
The Compound Test
There is a diagnostic question for every activity, every invitation, every notification, every tool: Does this compound toward the mission, or does it reset to zero?
Time in deep focus on work that matches who you are compounds over time. It is like compound interest.
The output improves. The reputation accrues. The connections form around the signal. The knowledge accumulates toward something only you could build. You become more valuable over time and not through harder effort, but through clearer direction.
Time in distraction does not compound. Tomorrow’s scroll starts from zero. There is no residual. No equity. No compounding interest. Just a pure transfer of your most finite resource attention into someone else’s revenue column.
And it leaves you empty.
In a world where AI can execute almost anything, capability is no longer the variable. Direction is. And direction without self-knowledge is just speed on the wrong road.
The distraction economy, and now AI without identity, will keep firing flares that are brighter, more personalised, more perfectly calibrated to the specific shape of your vulnerability for as long as your attention is the most valuable thing on offer.
The answer is not a digital detox. It is not a better morning routine. It is not nine software tools instead of ten.
It is acquiring the target.
Your mission is to find out, precisely, specifically, irreducibly, is this.
What you are here to build.
Not what sounds impressive. Not what pays the most. Not what the algorithm rewards.
It is this.
What pulls you.
What compels you regardless of the outcome.
What you would work on at 4:30am in the morning
Not because a productivity system told you to, but because the alternative of going back to sleep while the question waits, is the one thing you genuinely cannot do.
Most people in my position or in the industry wouldn’t say this out loud. But I’m going to say it anyway.
The business model that built my career is over.
Not struggling. Not pivoting. Not going through a rough patch.
Over.
I built jeffbullas.com over fifteen years into a platform that attracted 33 million readers across 190 countries. I did it by understanding one thing before most people did: the internet rewarded those who consistently showed up with useful, clear, educational content. Show up. Teach people. Build trust. Let the audience compound.
It worked spectacularly.
And then generative AI arrived.
Not as a feature, not as a trend but as a structural demolition of everything that model was built on.
I watched it happen. I watched it happen to me.
And I had a choice: pretend this wasn’t happening, or say it out loud and figure out what comes next.
This article is me saying it out loud.
The Scarcity Model Is Gone
For two decades, the internet ran on a simple economic premise.
Information was scarce. Attention was abundant.
If you could reliably produce useful, well-structured content on topics people were searching for, you captured attention. Captured attention became traffic. Traffic became email subscribers, speaking invitations, consulting clients, product sales. The game was clear: be the most useful person in your niche, and be there consistently.
This worked because information had friction. Research took time. Writing took effort. The person willing to put in that work night after night, year after year built something other people couldn’t easily replicate.
Then the friction disappeared overnight.
A single ChatGPT prompt now produces a 2,000-word article on “10 Social Media Strategies for 2025” in 30 seconds. AI-powered publishing platforms auto-generate and post thousands of articles per day.
Google’s AI Overviews answer users’ questions directly on the search results page no click required. AI newsletters flood inboxes with synthetic expertise, complete with confident tone and zero personal experience.
The supply of “good enough” information went to infinity. The marginal cost went to zero.
When supply becomes infinite and cost becomes zero, the market reprices the commodity fast and permanently.
The traditional blogger, the SEO-optimised educator, the generalist content creator who explains and summarises their value proposition collapsed alongside it.
I know because I felt the collapse in my own traffic. I watched my carefully researched and SEO optimized articles get scraped, synthesised, and surfaced in AI overviews that answered the question without sending a single visitor back to my site.
I watched faceless AI content farms outpublish me by a thousand to one.
This is not a content marketing problem you can optimise your way out of.
It is a structural market shift.
And it is permanent.
The Data: What the Numbers Actually Say
Let’s be clear about the scale of what’s happening.
Organic search traffic to editorial and informational content declined an average of 18–64% across major content categories following Google’s AI Overview rollout in 2024, depending on query type. Informational queries — the bread and butter of the educational blogger — were hit hardest.
Meanwhile, the volume of AI-generated content on the web is estimated to have grown by more than 1,000% since 2022.
There are now more articles published per day than humans could read in a lifetime. The signal-to-noise ratio has inverted. The internet is drowning in synthetic expertise.
And yet, and here is the critical data point most people miss.
Demand for human-guided transformation has not declined.
Coaching is a $20 billion global industry. It grew during the pandemic. It is growing now. Personal development is a $44 billion market. Executive coaching, life coaching, career coaching are all expanding.
People are not less confused about what to do with their lives. They are more confused. The acceleration of AI is making the identity question more urgent, not less.
The market did not stop valuing guidance. It stopped valuing generic information.
This is not a crisis for everyone. It is a crisis for those who built their business on being the most accessible source of information. It is an opportunity for those willing to offer something different.
You Cannot Compete With Free and Infinite
Here is where most people in my position get it wrong.
They respond to AI-generated competition by producing more content, faster. They add AI tools to their workflow and call it transformation.
They optimise harder. Post more. Publish more.
They are running faster on a burning platform.
You cannot out-publish a machine that never sleeps, never bills by the hour, and never runs out of ideas.
You cannot out-SEO a system that is rewriting the rules of search in real time. You cannot compete on information volume when the cost of information volume has reached zero.
The only viable move is to stop competing on information altogether.
To move to the one thing AI structurally cannot replicate:
The specific, scar-tissue-earned wisdom of a human being who has actually lived something.
Who has risked something.
Who has failed publicly and rebuilt from the ground up.
Who carries in their body and their choices a perspective that no training dataset can simulate, because it has never happened before.
Not content. Testimony.
Not education. Transformation.
Not information. Identity.
The market has already begun repricing in this direction.
It is not rewarding those who explain the most. It is rewarding those who illuminate something true about the human experience in a way that makes the reader feel less alone and more capable.
That is a different craft. A harder one. And one that AI cannot automate.
What I Had to Admit to Myself
I have spent the better part of two years being honest with myself about what I actually built.
I taught people how to grow followers. How to write better headlines. How to structure a content calendar. How to optimise for search. Much of it was useful. None of it was uniquely mine.
Anyone with enough time and diligence could have written it. And now, anyone with a $20 AI subscription can generate it.
I had built a career on being helpful. But helpful is automated now.
I had to sit with a genuinely frightening question:
What do I know that cannot be Googled?
What have I lived that cannot be simulated?
What do I believe that would be dangerous for an AI to say?
If I could not answer those questions, I had no future worth building toward.
For me, the answers came from going back further than the traffic numbers and the platform metrics.
They came from asking why, in 2009 during one of the most financially and personally difficult periods of my life .
I started getting up at 4:30am every morning to write about the internet when nobody was reading and nobody was paying.
There was no external reward. No algorithm to chase. No audience to validate the effort.
And yet I kept going.
Something in me needed to understand that. What was the engine under all of it? What made a person persist when the rational case for stopping was overwhelming?
That question eventually became Zyrro.
What the Pivot Actually Requires
Here is where most reinvention attempts die.
People write the strategy document. They refine the positioning. They redesign the website. They draft the launch announcement.
And then they hedge.
They keep producing the old content while gesturing toward the new direction. They try to hold the legacy audience while building a new one. They publish the reinvention story alongside the how-to articles, as if the market won’t notice the identity confusion.
The market notices everything.
The market punishes hedging with indifference.
A real pivot requires burning the old identity publicly and permanently.
Not metaphorically. Literally. In words your audience cannot misunderstand.
I am no longer building a media business. The old game is finished. If you want what I used to offer, there are ten thousand places to get it and most of them faster and cheaper than me.
If you want what I am building now, here is what it is and why it matters.
That declaration is terrifying.
It means losing traffic. Losing the identity that made you safe. Losing the revenue streams that felt stable. Standing in public without the armour of established expertise and saying: I am starting something new, and I do not know exactly where it ends.
But the alternative?
Staying on the burning platform, optimising the old model with diminishing returns, watching the market reprice your value year by year is a slower and more demoralising version of the same ending.
Not another content platform. Not another AI productivity tool. Not another newsletter that tells you how to use ChatGPT.
Zyrro is an AI mentor platform built on a simple and, I believe, deeply timely premise:
When AI can execute almost anything, the bottleneck in human performance stops being capability. It becomes clarity.
Clarity about who you are. What you’re built for. What gives you energy. What problems you’re actually called to solve. How to turn that self-knowledge into daily momentum and decisions that compound over time.
I have spent two decades helping people build audiences on the internet. And I have watched brilliant, driven, hardworking people succeed at every external metric and still wake up wondering if they’re doing the right thing. You can have the traffic, the followers, the revenue, the recognition — and still feel fundamentally directionless.
The question underneath all the tactics was always the same question:
Who am I, and what am I here to do?
AI is about to make this question more urgent for more people than at any point in modern history. When the machines can do the work, the only thing that cannot be outsourced is the judgment about what work is worth doing.
Your identity becomes your operating system. Everything else, every tool, every platform and every skill, is just an application running on top of it.
Zyrro is designed to help people build that operating system.
What This Means for You
I am not writing this to sell you something.
I am writing this because I have been watching smart, capable people make the wrong bet doubling down on information-era strategies in a transformation-era economy and I think someone needs to say it plainly.
The era of the generalist content creator is ending.
The era of the commoditised expert who explains what AI can now explain better is already over.
The era of synthetic thought leadership and the articulate, confident, personality-free content that AI generates at industrial scale is already exhausting people.
You can feel the fatigue in your own inbox.
What comes next is not more content. It is more humanity.
More specificity. More scars. More dangerous honesty. More work that could only exist because one particular person, with one particular history, decided to stop playing it safe and say the thing they actually believe.
You have a choice in front of you.
You can keep running the old playbook and churning out information that AI will commoditise before you finish publishing it and call it strategy while the market quietly depreciates your value.
Or you can do the harder, slower, more terrifying work of excavating what you know that cannot be simulated, what you have lived that cannot be averaged, and what you are building that would not exist without you.
I have made my choice.
This article is the line.
On one side: the old model, the old identity, the safe path that is quietly dying.
On the other: an uncertain, unproven, deeply personal bet on a different future.
I am walking toward the second one.
If you are doing the same, I see you.
And if you are still deciding — I hope this helps you choose before the market makes the decision for you.
The Verdict
The information economy ran on scarcity. AI ended that scarcity. The old rules no longer apply.
What survives is not the most useful information. What survives is the most human insight, that is specific, lived, irreplaceable, and impossible to simulate.
The question is not whether the market has changed.
It has.
The question is whether you will admit it in time to build something real on the other side.
