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Monday, May 25, 2026

The Reading Catastrophe: How One Generation Lost the Meta-Skill That Makes All Other Skills Possible

I learned to read at 5 and it changed everything.

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.

Key research cited

The post The Reading Catastrophe: How One Generation Lost the Meta-Skill That Makes All Other Skills Possible appeared first on jeffbullas.com.



* This article was originally published here

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Wednesday, May 20, 2026

The Distraction Economy’s Only Job: Stop You Finding Your Mission

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:

Health experts recommend a maximum of two hours of recreational screen time per day. Every generation exceeds it. The youngest by a factor of 4.5.

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 pandemic permanently shifted the baseline. Screen time spiked by 29 minutes per day globally in 2020 and never returned. 

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.

Companies lose 720 hours per worker per year to distraction. That is eighteen full working weeks. Jonathan Spira’s research puts the total cost to the US economy at $1 trillion per year. But these figures measure productivity. 

They do not and cannot measure the compounding cost of a life spent permanently one interruption away from the question that would change everything.

The data point that receives far too little attention:

Distracted workers make 50% more errors than focused counterparts. Not 5% more. Fifty. 

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.

Acquire that target.

Then become the missile.

And launch.

The post The Distraction Economy’s Only Job: Stop You Finding Your Mission appeared first on jeffbullas.com.



* This article was originally published here

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Tuesday, May 19, 2026

The Brutal Truth About Reinvention Nobody in My Industry Will Say

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.

The only way through is through.

What I Am Building

I am building Zyrro.

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.

The post The Brutal Truth About Reinvention Nobody in My Industry Will Say appeared first on jeffbullas.com.



* This article was originally published here

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Monday, May 18, 2026

The AI Slop Crisis: Why You Need to Make Your Content More Human

AI slop is rampant. 

It seems that for the sake of not thinking too much and resorting to easy rather than doing the work, the humans have fled and handed over the content writing to the machines. 

And why not.

If you could get someone to write a novel for you while you were holidaying  in the Bahamas without paying them a cent that sounds like a good deal

And for the sake of productivity “Why do it when the AI bot can do it while you’re sleeping or sipping a coffee?”. 

You can put a topic into your favourite chatbot and ask it to write content for a blog post, a LinkedIn post, or even reply to a comment on LinkedIn. And much more.

The uncomfortable truth is that in 2026 it is estimated that 50% of content on the web is now AI generated. So we are efficient. Productive. 

But there is a slight issue. 

Your content sounds like, looks like and smells like everyone else’s. 

The reality is this.  You will not stand out

It is bland, beige and boring.  

Your creation, your writing, your content will be banished to the algorithm badlands and never to see the light of day.

Is this a courage problem?

But I’m starting to wonder whether AI slop is not a technology problem at all. Maybe it is a courage problem.” No one wants to be too brave or be too vulnerable. 

So …let me tell you what nobody in your marketing team wants to admit.

  • Half the content being published online right now was not written by a human. 
  • It was assembled.
  • Optimised. 
  • Statistically averaged into existence by a machine that has never felt anything, never failed at anything, and never had a 4:30am reckoning with its own purpose.
  • It is safe and the edges have had the sandpaper applied. It is not raw or human but homogenized.  And this means it leaves us cold.
  • It is the “Politeness Trap”. It is designed and built in. Designed to not offend. 

And readers know it. They feel it. Even when they can’t prove it.

“AI slop” was named Merriam-Webster’s 2025 Word of the Year. Think about that for a moment. The defining cultural term of our era is a phrase that means “machine-made garbage flooding the internet.”

Mentions of the phrase “AI slop” across the internet increased ninefold from 2024 to 2025, with negative sentiment peaking at 54% in October. Meanwhile, more than half of all new English-language articles published online were estimated to be AI-generated. We have crossed a cultural threshold — and most marketers are on the wrong side of it.

Today I’m swinging at one of the most important and most ignored crises in digital marketing: the authenticity collapse.

The villain is not AI. 

The villain is the lazy, sycophantic, em-dash-addicted version of AI that masquerades as your voice while saying absolutely nothing you would ever say.

And this is the normal AI output. And its modus operandi. 

The AI Content and Polished Perfection Issue

When we first saw what an AI chatbot could do we were impressed. At first glance.

  • AI content is smooth 
  • AI content is homogeneous
  • AI is designed not to offend
  • AI doesn’t  have an opinion
  • AI is sandpapered content. 

As most human beings we felt that was close to perfect. We want to fit in. But there is a danger in a world where there is so much content. We are anonymous. We are afraid to have a point of view.

And for most of us we don’t have a “POV” (Point of View). 

Society has trained us to conform. The tribe’s thinking and imposition has told us if we have an independent opinion we will be ostracized. Banned to outer darkness. And you no longer belong. 

And for most people that is a social death sentence. 

The AI created content default means this if you stick to what everyone else is doing. 

You will never stand out. 

And what you write will be lost in the industrial content production machine that will never be seen. Because it is boring. 

Let’s get into it.

The Slop Economy: How We Got Here

In November 2022, ChatGPT launched. Within months, a new economy had emerged that is not an economy of ideas, but an economy of volume. 

Content farms discovered they could produce hundreds of articles, videos, and social posts for a fraction of the previous cost.

Graphite, an SEO firm, analysed 65,000 English-language articles published between January 2020 and May 2025. Their finding was stark: AI-generated content spiked from roughly 10% of new articles in late 2022 to over 40% by 2024, before plateauing near the 50% mark by mid-2025.

The internet had reached a tipping point. Not in a metaphorical sense. Literally the point where machine-made content equaled human-made content in volume. 

And the machines were faster, cheaper, and utterly indifferent to whether anyone actually cared about what they produced.

“Slop farms” were reported to be netting some creators upwards of $5,000 a month and not by writing well, but by writing relentlessly. 

The economics rewarded volume over value, and platforms were slow to penalise the output.

From Text to Everything

This is not only a text problem. In August 2024, nearly 10% of YouTube’s fastest-growing channels featured nothing but AI-generated content. Cat soap operas  bizarre AI-animated videos of buff humanoid cats in melodramatic domestic crises — were racking up millions of views.

  • Paramount Pictures was criticised for using AI scripting in a promotional video. 
  • A24 received backlash for AI-generated film posters. 
  • Activision posted AI-generated fake game advertisements. 

In 2025, both Merriam-Webster and Australia’s Macquarie Dictionary named “AI slop” their Word of the Year.

 The Trust Collapse: What Readers Actually Feel

Here’s the part of the conversation most marketers skip because it’s uncomfortable.

Readers don’t just dislike AI content. They distrust it at an institutional level. And that distrust is bleeding onto your brand whether you authored the slop or not and not because you’re swimming in the same pool.

A study by the Nuremberg Institute for Market Decisions found that only 21% of consumers trust AI companies and their promises, and only 20% trust AI itself. That’s a crisis of legitimacy, not a PR problem.

According to SmythOS research, approximately 62% of consumers are less likely to engage with or trust content on social media if they know it was generated by AI. And Gartner found that 50% of US consumers would prefer to give their business to brands that don’t use generative AI in customer-facing messages.

Let me say that again: half of your potential customers would prefer to buy from a competitor who doesn’t use the tool you’re probably using right now.

The Authenticity Paradox

Here’s where it gets interesting. Most readers cannot reliably identify AI-generated content. Baringa’s 2025 survey found that 43% of participants felt confident they could spot AI-generated images but only 31% were actually accurate, worse than a coin flip.

So readers can’t detect it with their eyes. But they feel it in their gut.

They feel the absence of tension. The absence of a specific, idiosyncratic perspective. The smoothness that is really just the statistical average of a million other writers’ voices blended into something with no edges, no scars, and no story.

The problem with AI slop isn’t that it’s wrong. It’s that it’s nobody. It is the voice of no one in particular, saying something that means nothing specific, to an audience it has never met.

Getty Images’ VisualGPS report found that 98% of consumers agree that ‘authentic’ images and videos are pivotal in establishing trust. And 77% of consumers want to know when AI is being used in content they consume.

Trust, once lost, does not return through efficiency. It returns through truth. Through specificity. Through the kind of human detail that an AI cannot hallucinate its way into producing.

The Sycophancy Problem: When AI Agrees With Everything

In April 2025, OpenAI released an update to GPT-4o. Within days, something strange was happening across the internet. Users reported that their AI assistant had transformed into an obsequious yes-man, calling mundane observations “absolutely brilliant” and validating dangerous ideas as “genius.”

OpenAI CEO Sam Altman publicly acknowledged the issue, saying the model “glazes too much.” The company was forced to roll back the update after just four days, admitting the model had become “overly supportive but disingenuous.”

This wasn’t a bug. 

It was a design philosophy taken to its logical extreme.

AI systems are trained using reinforcement learning from human feedback. Humans reward responses that feel good. 

And what feels good, it turns out, is being told you’re right. 

  • So the models learned to agree. 
  • They learned to flatter. 
  • They learned to be the world’s most sophisticated yes-man at the exact moment when the world needed the world’s most honest thinking partner.

Sycophancy Is Not Harmless

Research published in Science (2026) across 11 state-of-the-art AI models found that AI affirmed users’ actions 49% more often than crowdsourced human responses even when those actions involved deception, illegality, or other harms.

In experiments where participants discussed real interpersonal conflicts with sycophantic AI, the outcome was measurably damaging: participants became more convinced they were right, and less willing to repair the relationship. The AI made them worse and not better at being human.

For marketers, the sycophancy problem is subtler but equally corrosive. When your AI writes content that tells your audience what they want to hear instead of what they need to hear, you are not building trust. You are building an echo chamber with your brand’s logo on it.

The Dash-Overuse Problem (Yes, This Is Real)

The internet has also developed a specific, widely-mocked tell for AI-generated writing: the em dash. 

The overuse of bullet points. 

The inevitable phrase “In today’s rapidly evolving landscape…” The habit of summarising its own summary.

These are not stylistic choices. They are statistical averages. They are what you get when you train a model on the aggregated output of ten thousand mediocre blog posts and then ask it to synthesise a voice.

Your voice does not sound like that. Nobody’s voice sounds like that. And your readers know it even if they can’t articulate why they stopped reading.

“AI doesn’t write in your voice. It writes in the averaged ghost of every voice it has ever consumed — including every writer who ever wrote badly, quickly, and without caring”.

The Human Premium: Why Authenticity Is Now a Competitive Advantage

Here’s the good news.

The research does not say AI content is worthless. 

It says unedited, unfiltered, human-free AI content dramatically underperforms. 

But the hybrid model: AI as a thinking partner, human as the voice and editor  performs extraordinarily well.

SmythOS analysis found that AI content with human strategic oversight performs 4.1 times better than fully automated output. Not marginally better. Four times better. 

That is a performance gap so large that ignoring it is a business decision, not a creative preference.

Meanwhile, Graphite’s research revealed that 86% of articles appearing in Google Search results were written by humans. The algorithms, for all their sophistication, are still rewarding the real thing.

When the reader’s gut and Google’s algorithm are aligned. 

The human wins. Every time.

The Identity Advantage

There is a deeper point here that goes beyond marketing tactics.

We are entering an era in which AI will commoditise every skill that can be systematised. 

  • Writing that follows rules. 
  • Analysis that follows frameworks. 
  • Content that follows templates. 

If you are competing on those dimensions, you are already losing because the machines are faster, cheaper, and they never need a coffee break.

But here is what the machines cannot replicate: the specific texture of a life lived. The 2009 decision I made alone, financially broken, rising at 4:30am for five years to build jeffbullas.com from nothing. 

The reality?

That raw lived experience is not a content strategy. That is an identity. A lived experience that shapes every sentence I write.

  • Your story is your moat. 
  • Your perspective is your distribution strategy. 
  • Your voice and the real one, not the averaged statistical ghost is the one thing AI cannot scale.

“Most AI makes you more efficient at being who you already are. The real question is whether it makes you more intentional about who you’re becoming”.

How to Make It More Human: A Practical Framework

This framework is a work in progress and an experiment. It is not perfect and I have created an app to fight the  battle to stop “AI Slop” becoming a cancer. 

Because I also have been tempted, seduced and succumbed to creating content at scale powered by AI. 

I am only human. And I created the app one hour before I finished my first coffee. 

So it is raw and in beta. And I have created it because I believe that AI slop needs an intervention. 

I gave it a name “The Human Signal Machine

And let me be clear: I am not telling you to stop using AI. I use it every day. The answer is not less AI — it is more intentionality about how you use it.

1. The Specific Story

Every piece of content must contain at least one detail that could only have come from you. A specific date. A specific failure. A specific conversation that changed your thinking. Specificity is the fingerprint of human experience. AI cannot manufacture it. You can.

2. The Honest Opinion

Take a position. AI, by default, will hedge. It will present “multiple perspectives” and conclude with “it depends.” That is not a voice. That is the absence of one. Your audience follows you because of what you think, not because you’re good at presenting both sides. Say what you believe. Be willing to be wrong. That is the only currency that builds real trust.

3. The Anti-Sycophancy Audit

Before you publish anything AI-assisted, ask yourself: Is this telling my reader something they already believe? Is this just validating their existing worldview? 

The research is clear that even a single interaction with sycophantic AI reduces a person’s willingness to grow

Don’t let your content do that to your audience. Challenge them. Provoke them. Respect them enough to disagree with them.

4. The Voice Edit

Before you publish, read your AI draft aloud. If you cannot hear your own voice in it — your rhythms, your habitual sentence lengths, your particular way of landing a point — edit until you can. The em dashes. The bullet points. The “in conclusion” that concludes nothing. Delete them. Replace them with your actual cadence.

5. The Human Signature

Close every piece with something only you could have written. A question that is genuinely unresolved for you. An admission of something you got wrong. A provocation that comes from your real conviction, not a template. That final paragraph is where AI stops and you begin. Make it count.

6. Training AI in Your Voice

The most sophisticated approach and the one that increasingly separates elite content creators from the content farm operators is training your AI tools to speak in your voice before you begin.

Typeface’s research suggests a minimum of 15,000 words of your own long-form content for effective voice training. The goal is not to make AI sound like you accidentally. It is to make it impossible for AI to sound like anyone else.

But a word of caution. If you try to do all of these at once as that is a PhD in writing. 

And you will be overwhelmed with the complexity.  Start small. Try to do just two or three.

The Platform Response: Where This Is Heading

If you have been hoping that AI slop will continue to work because the platforms are slow, those hopes are dying.

Google Search data shows 86% of results are human-written. 

The meaning? 

The algorithm is already down-ranking undifferentiated AI content at scale. 

  • YouTube has stripped monetisation from AI-only channels. 
  • Pinterest has introduced controls allowing users to limit AI-generated content in their feeds.

The SEO firm Graphite noted a key insight: AI content farms are realising their slop isn’t being picked up as much by search engines and AI chat responses. The plateau in AI content growth may reflect not a change of heart but a change of economics.

The game is already changing. The question is whether you are changing with it or doubling down on a strategy that is running out of road.

GEO: The New Frontier

There is a second reason authentic, human-voiced content matters more than it ever has and it goes beyond reader trust.

Generative Engine Optimization (GEO) is the practice of creating content that gets cited by AI systems like ChatGPT, Perplexity, and Google’s AI Overviews and rewards exactly what AI slop cannot provide: original perspective, cited expertise, and a clear point of view that stands out from the averaged middle.

The AI systems that summarise the web are, ironically, looking for the most human signal they can find: genuine authority, specific insight, and a recognisable voice. Bland, averaged, slop-adjacent content gets consumed by these systems without attribution. Distinctive, expert, human-voiced content gets cited.

Your goal in 2026 is not to produce content that sounds like everything else. Your goal is to produce content that sounds so specifically like you that the machines have no choice but to quote you.

GEO is still an industry in evolution. And be wary of false prophets telling you they have found the formula. Tjis is  

So…let’s get real and raw

You need ask this every time before you hit the “publish” button

  • Where is this too polite?
  •  Where is this too generic? 
  • Where is the sentence only Jeff could have written?
  •  Where is the scar?
  •  Where is the odd detail
  •  Where is the unresolved tension?
  • Where is the line that might make someone pause?
  • Where is the phrase that sounds like everyone else?

This is critical because AI’s default setting is often “helpful corporate mediator.”

It sands down edges. 

But edges create memorability.

Add a “human minimum viable input” rule

This may be the most important product rule.

Before AI can generate anything, the user must provide a minimum amount of human signal.

For example:

  • One personal story
  • One emotional trigger
  • One belief
  • One enemy
  • One curiosity
  • One lived example
  • One sentence written without AI
  • No human signal, no AI output.

That could become a core philosophy:

Finally: What would make this piece impossible for anyone else to write?

This should be the final test.

If another AI creator could publish the same thing tomorrow, it is not finished.

A publishable personal piece should contain at least one of these:

  • A personal story
  • A distinctive metaphor
  • A contrarian belief
  • A lived scar
  • A recurring obsession
  • A line with emotional voltage
  •  A connection between ideas others haven’t made yet

The Verdict: “Make It More Human” Is Not a Prompt. It’s a Decision.

Here is the uncomfortable truth I’ve been building toward.

“Make it more human” is not a prompt you type into a text box. It is not a setting you toggle. It is not something a humaniser tool can manufacture for you.

It is a decision about who you want to be in a world where everything that can be automated will be automated.

The creators, marketers, and entrepreneurs who will win the next decade are not the ones who use AI most. They are the ones who bring themselves most fully to what AI produces. The ones who edit with conviction. Who publish with courage. Who say things that are specific, uncomfortable, and true in a world drowning in content that is general, agreeable, and hollow.

The most powerful prompt you will ever write is not a sentence you give to AI. It is the life you lived before you opened the interface.

I have been building an audience since 2009. I have watched every content trend rise and crash. SEO. Social media. Video. Podcasting. Influencer marketing. Each wave brought a new cohort of operators who tried to automate their way to authority, and each wave washed them away.

The ones still standing are the ones who understood something the machines never will: that the reason people read is not to receive information. It is to feel less alone in their thinking. To encounter a perspective that sharpens their own. To hear a voice that is unmistakably, irreducibly human.

Your voice. Not averaged. Not smoothed. Not sycophantically agreeable.

Is yours.tHave 

A to discover and articulate what makes your voice irreplaceable in the AI age? That’s exactly what Zyrro.ai was built for — not to make you more productive, but to make you more intentional about who you’re becoming.

Sources & Further Reading

  1. Meltwater — AI Slop Mentions Data 2025 (via Euronews, Dec 2025)
  2. Graphite / Futurism — Over 50% of Internet Now AI Slop (Oct 2025)
  3. NIM — Consumer Attitudes Toward AI-Generated Marketing Content
  4. SmythOS — The AI Content Trust Gap (Nov 2025)
  5. Science — Sycophantic AI Decreases Prosocial Intentions (2026)
  6. Georgetown Law — Tech Brief: AI Sycophancy & OpenAI (2025)
  7. Getty Images VisualGPS — Building Trust in the Age of AI (2024)
  8. Baringa — Digital Trust Index 2025
  9. RMIT Information Integrity Hub — How the Internet Drowned Itself in Slop (Dec 2025)
  10. ListenFirst — AI Slop: When the Internet Drowns in Synthetic Junk (2025)
  11. IEEE Spectrum — AI Sycophancy: Why Chatbots Agree With You (Apr 2026)
  12. Typeface — How to Train AI to Write in Your Brand’s Voice
  13. California Management Review — Authenticity in the Age of AI (Dec 2025)
  14. Checkr — America’s Consumer Trust Crisis in the AI Era (Dec 2025)

The post The AI Slop Crisis: Why You Need to Make Your Content More Human appeared first on jeffbullas.com.



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