Industrial Bias: How ‘Normal’ Became a Trillion Dollar Mistake
By Trip O'Dell
Imagine a factory floor where people are part of the machinery. A floor boss stands by with a stopwatch. The goal isn't insight. It's consistency. Make the inputs uniform, including the humans, and the outputs become predictable. Routine feels like control.
This logic built the industrial world. It also taught us a habit we haven't been able to shake, even now, when
most of our work looks nothing like an episode of Peaky Blinders.
And yet the show resonates 100 years after the fact because the story rhymes. We are at the tail end of another Gilded Age, a Belle Époque with influencers instead of flappers and nativist immigration raids instead of strikebreaking railroad bulls. The set dressing changes. The underlying script does not: consolidate, standardize, extract and, when the people at the bottom stop fitting the machine, blame the people.
We standardized school because it was the only way to teach at scale. We standardized corporate training because it was the only way to onboard a workforce without losing the plot. Over time, standardization stopped being a tactic and became a cultural reflex. Sameness became professionalism. Professionalism became competence. And we stopped asking whether any of it actually worked.
The trouble is, we are not living in that world anymore.
A post-industrial economy rewards judgment, creativity and decision quality under ambiguity. Yet we keep layering on industrial management artifacts, dashboards, check-ins, approval chains, micromanagement cosplaying as rigor. People do the real work, then do the work of making the work look acceptable to the process. That professional pantomime burns off the oxygen and agency that drives innovative thinking. It
makes as much sense as a necktie in the 21st century, a functionless social signal hospitals have known for years carries pathogens between patients. But "looking professional" still outweighs the evidence, which is cold comfort if you lose a loved one to a superbug on some doctor's lunch-splattered cravat. That is the logic we are talking about. We didn't just standardize process. We standardized what a person is supposed to look like, think like, speak like and perform like, then built systems that function only if you're willing to ignore all the ways they don't.
Nowhere does the fiction of "normal" do more damage than in education. Dyslexia affects roughly one in five people, far more common than being over six feet tall, but no one treats height as a deficit. Dyslexia is common, but schools routinely miss it. In some analyses, only about five percent of affected students receive a formal diagnosis, because support often starts only after a child has fallen far enough to qualify for help. Even then, every three years, they must re-test to prove they are still dyslexic and still deserve a different approach. Imagine asking a student who is blind, to prove it every three years with a full day of dodgeball drills. Just think how that would land at a school board meeting. But that is the reality of being invisibly different. No one believes you, and when you finally prove it, you are discounted as incapable, so you hide.
Lies, Damn Lies and Statistics
This is not a critique of teachers. It is an indictment of a system that treats human cognition as a bell curve and mistakes the plot for the person.
For decades, dyslexia, ADHD and autism were all assumed to primarily affect males. They don't. The diagnostic criteria were built from research that overwhelmingly studied boys and men. The field defined the presentation it was already looking for and then called its absence in girls and women evidence of lower prevalence. The research didn't discover a gender gap. It manufactured one. Women weren't missed. They were actively misdiagnosed: labeled bipolar, borderline, histrionic, labels that described what a male-normed framework saw when it couldn't recognize ADHD or autism presenting differently.
And for everyone who didn't fit, the system had simpler words: lazy, oppositional, manipulative, slow, faking it "for attention." That still happens, especially with girls and minorities, who are disproportionately likely to receive behavioral interventions with lifelong consequences. It is little wonder that among the boom in homeschooling, microschools and charter schools over the last 20 years, Black and Latino families are opting out at disproportionate rates, walking away from systems that actively treat their children as the problem. They aren't rejecting education. They’re rejecting a system that called their kid broken, even as they looked at their child and recognized potential.
Distortion Has a Price Tag
In 2020, Boston Consulting Group partnered with the UCSF Dyslexia Center and measured the price tag for taxpayers. Dyslexia alone costs the state of California $12 billion a year and a staggering $1 trillion over 60 years, not because dyslexia is expensive, but because refusing to adapt is. Incarceration, chronic unemployment, underemployment, public benefits: dyslexic learners represent 48 percent of the prison population and 31 percent of children in juvenile detention.
The irony is that California is also home to the two industries most shaped by neurodivergent minds. Silicon Valley practically runs on dyslexia, ADHD, and autism. Bill Hewlett, Steve Jobs, John Chambers, Elon Musk,
Peter Thiel and Alex Karp are cited so often among founders that neurodivergence has become shorthand for the culture itself. Hollywood was built by storytellers who thought in pictures: Spielberg, Scorsese, whole generations of actors, directors, and writers whose brains never fit a standardized test. The state spends $12 billion a year on the fallout of failing kids like them while collecting hundreds of billions in tax revenue from the ones who made it anyway.
Now apply the state's own math. Schools formally identify about 4.5 percent of children as having dyslexia or a related learning disability. Extrapolate that across a state population of 39.4 million and you get roughly 1.77 million people. Divide $12 billion by 1.77 million. That is nearly $6,800 per identified dyslexic person, every year, for life, not to teach them, but to pay for the consequences of never teaching them properly. And dyslexia is just one of 14 categories in special education that exist because it is easier to pathologize being different than to change a one-size-fits-all system.
These are not soft problems. They are hard invoices from systems that demand conformity when the real work requires understanding.
Electrification, radio, and the telephone each remade how human beings live, work, and understand the world within a single generation. AI is that kind of moment. Not a product cycle, an epoch. And what we invest in now, or continue to neglect, will shape the next century of human experience the way those technologies shaped the last one.
The future is unwritten. I am an optimist because a century of exposed receipts says the status quo is too stupid to tolerate and too expensive to ignore. For 200 years, reaching one person at a time was economically impossible. Everything we built — from Gutenberg's press to the World Wide Web — was designed to deliver one message to everyone. Standardization was imprecise, wasteful, and the best we had. It is no longer necessary.
AI makes information fungible. It still requires what every good teacher, writer, and communicator already knows: there is a difference between talking and actually saying something. There is a wide gap between broadcasting information and helping another person connect with it in a way that empowers them, opens opportunity and provides a kind of freedom no one can take away. When we use AI with the right constraints, it becomes a powerful force for change in a world that is weary for new approaches. That is why 5xFive exists.
We don't need more people trained to behave like machines. We need systems that finally work like people do.
Trip O'Dell is the founder and CEO of 5xFive. A former teacher and coach, he spent two decades in leadership roles at Amazon, Microsoft, Adobe, Audible and Pearson, building large-scale products across education, accessibility and personalization. His credentials include graduate training in cognitive psychology and five USPTO patents in accessibility and human-computer interaction.
