Nobody Remembers Hating the Future
Class, Computers, AI, and the Shame of Catching Up
People often forget hating the future once the future starts working for them.
People love to pretend technological change was smooth after they survive it. But many poor, working-class, rural, minority, elder, disabled, and other under-resourced people remember the humiliation of being expected to perform fluency before they were given access, training, time, equipment, or privacy to practice.
That is one of the strange things about progress. After a tool becomes normal, people rewrite their own history with it. They forget the resistance. They forget the suspicion. They forget the jokes they made. They forget how many times they said, “I don’t need all that.” They forget how much they complained when the machine first entered the room.
Now people act as if computers, the internet, email, smartphones, online banking, digital forms, work portals, school dashboards, and search engines slid into everyday life like they were always welcome.
They did not.
Many people hated computers.
Many people hated the internet.
Many people did not trust online shopping, online banking, email, websites, passwords, search engines, or digital anything. Some people thought computers were for “other people.” Some thought the internet was a passing fad. Some thought all of it was too much, too cold, too technical, too unsafe, too fast, too disconnected from real life.
And in some ways, they were not entirely wrong.
New technology does not only bring convenience. It brings new rules, new language, new power, new confusion, new costs, and new ways to be judged. Every new system arrives with promises, but it also arrives with pressure.
The part people forget is this: we did not all meet that pressure from the same place.
Some people hated computers from inside homes that had one.
Some people hated computers from inside offices where training was paid for.
Some people hated computers while their children had software, printers, floppy disks, CDs, internet access, and a private room where they could practice.
Others hated computers from the public library waiting list.
Others hated computers from a school lab where thirty children shared a handful of machines.
Others hated computers from homes where there was no internet, no printer, no extra money, no adult nearby who knew how to help, and no quiet place to sit and figure it out.
There is a kind of memory that gets flattened when people say, “We all hated computers back then.”
Yes, many people did. But not everyone paid the same price for being behind.
For families with money, computers were an irritation before they became an advantage.
For families without money, computers would become another gate.
The gate showed up at school. It showed up at work. It showed up in job applications. It showed up in homework assignments. It showed up in promotions. It showed up in the way people started talking about intelligence, efficiency, professionalism, and “keeping up.”
A child with a computer at home could learn by touching. Clicking. Making mistakes. Trying again. That child could fail in private.
A child without a computer at home often had to learn in public, in one-hour increments, because the next person was waiting.
There is a world of difference between those two things.
Some children learned the machine in bedrooms, dens, finished basements, and home offices. Other children learned under fluorescent lights, with a teacher watching, classmates laughing, the clock ticking, and everybody waiting for their turn.
One child could explore.
Another child had to prove they were not “slow.”
One child was being prepared.
Another child was being measured.
That is how inequality hides inside progress. It does not always announce itself with a locked door. Sometimes it looks like a new assignment that everybody is expected to complete. Sometimes it looks like a job requirement nobody trained you for. Sometimes it looks like a form that says, “Apply online only.” Sometimes it looks like a teacher assuming every child has access to the same tools after school.
Some of us remember this clearly because we lived inside the gap.
We remember being the kid who was behind.
We remember having to learn in school but not being able to practice at home.
We remember watching other children move around the keyboard with ease while we were still trying to find the right key.
We remember the embarrassment of not knowing what everybody else seemed to know already.
We remember pretending not to care.
We remember acting bored when the truth was that we were lost.
We remember that awful feeling of being introduced to the future with no practice room.
And many of us remember our parents in that same struggle.
Parents who had worked hard for years suddenly found themselves being judged by a machine they had not grown up with. People who were smart, capable, dependable, and respected at work were told, directly or indirectly, that they were falling behind.
Some missed promotions.
Some were forced into computer classes but were still looked upon as “slow, delayed, or behind.”
Some complained because the complaint was safer than admitting fear.
Some got angry because anger felt stronger than humiliation.
Some had children who were also trying to understand the same new world, even though the children were expected to learn faster because they were young.
That is a heavy thing, watching a parent feel small.
Especially when you know they are not small.
They raised families. Paid bills. Cooked meals. Worked shifts. Managed crises. Navigated landlords, bosses, schools, doctors, churches, bills, and life itself. They knew how to stretch money, read people, survive hard seasons, keep children alive, and make a way out of very little.
Then a computer entered the workplace and made them feel like beginners.
Because the world changed the tool and then acted as if the people who struggled with it were the problem.
That wound still sits in many families.
And it is not just nostalgia. It is a warning.
Today, we are watching another technological shift arrive.
Artificial intelligence is entering classrooms, offices, small businesses, health systems, media, marketing, writing, design, research, customer service, education, and everyday problem-solving. Some people are excited. Some people are afraid. Some people are curious. Some people are angry. Some people are tired before they even begin.
And once again, people are not standing in the same place.
Some people have paid tools.
Some have free tools with limits.
Some have jobs that encourage experimentation.
Some work in places where AI is already being used to monitor, replace, rank, or pressure them.
Some people have time to practice.
Some people are caring for children, elders, households, illnesses, jobs, grief, and survival.
Some people know the language of prompts, models, automation, APIs, workflows, and digital products.
Some people are still trying to remember passwords, fill out online forms, check email, protect themselves from scams, and understand why everything has become an app.
The issue is not whether AI is good or bad in some simple way. The issue is whether we are going to repeat the same old pattern.
Years from now society will say, “Everybody adapted.”
But everybody did not adapt under the same conditions.
Some adapted with support.
Some adapted under shame.
Some adapted while being mocked.
Some adapted after losing opportunities.
Some adapted only after their children had to help them.
Some adapted while carrying the quiet grief of knowing they were not less intelligent, only less resourced.
Because AI is not arriving in a neutral world. It is arriving in a world already shaped by class, race, disability, geography, age, education access, gender expectations, workplace pressure, and digital inequality. It is arriving in homes where people are exhausted. It is arriving in schools that are unevenly funded. It is arriving in workplaces where workers may already feel disposable. It is arriving in communities that have seen many promises come through town and leave without taking everyone along.
So no, the answer is not blind excitement.
And no, the answer is not blanket rejection.
The answer is wise preparation.
People need to understand what AI can do. They need to understand what it cannot do. They need to know where it can help, where it can mislead, where it can save time, where it can create risk, where it can strengthen a small business, where it can exploit labor, where it can support learning, where it can spread lies, where it can open doors, and where it can quietly close them.
That kind of understanding does not come from fear.
It does not come from hype either.
It comes from remembering what happened the last time.
Nobody remembers hating the future once they become comfortable inside it.
But some of us do remember.
We remember the computer lab.
We remember the long line at the library.
We remember the parent who lost confidence.
We remember the promotion that went to somebody who had more access to the new system.
We remember the child who was bright but behind.
We remember the shame of being asked to perform what we had not been given room to practice.
We remember class solidarity that sounded good, rallied, and unified in conversation, but then left some people behind and never looked back.
This time can be different.
The AI era does not have to become another sorting machine. It does not have to become another way to divide the fluent from the ashamed, the equipped from the exposed, the trained from the blamed.
But “the future is being shaped, and you have every right to understand it.”
That is the work now.
To remember honestly.
To train patiently.
To build wisely.
To refuse another era where people are punished for not having access before access was offered.
The future came once before, and yes, many people had to chase it.
If you do not remember, it may be because you were not the one running to catch up.
