Disruption is Distressing...

ChatGPT and Me

Technology is always disruptive but the intense reaction of many to Ai seems to be of a different level of magnitude. I ask GPT what it thinks is causing that.

As usual my input (prompts) are in the boxed elements. The rest apart from some small edits and formatting is ChatGPT's output.

Like all technological advances AI is definitely disruptive. Why do you think people feel more threatened by it than previous disrupters?

Part of it is that AI is the first major technology that appears to compete with something humans have always treated as uniquely ours: thinking. Steam engines replaced muscle. Tractors replaced manual labor. Computers replaced calculation. AI seems, at least on the surface, to replace judgment, creativity, conversation, and problem solving. Humans have an easier time watching a machine lift a thousand pounds than watching one write a poem. Priorities. Species are funny that way.

There are a few reasons the reaction feels stronger than with earlier technologies.

First, the pace is unusual. The printing press took generations to reshape society. Electricity spread over decades. Smartphones took about fifteen years to become nearly universal. Large language models went from obscure research to millions of people using them in what felt like a long weekend. People haven’t had time to build new social norms or career expectations.

Second, AI doesn’t stay in one lane. A new tractor affects farming. A new accounting program affects accountants. AI touches writing, programming, medicine, education, art, customer service, law, science, and entertainment simultaneously. When everyone wonders if their profession might change, the anxiety becomes collective instead of local.

Third, people identify with cognitive work. Someone who loses a repetitive factory task may grieve the income, but they don’t usually think, “The machine is smarter than me.” When AI drafts an essay or diagnoses a disease, people can interpret it as competition with their intelligence rather than simply their labor.

There’s also the “black box” problem. Earlier machines were often understandable. You could see gears turning or circuits switching. Modern AI can produce remarkably useful answers without anyone, including many experts, being able to point to a neat chain of reasoning. Humans are suspicious of systems they can’t fully explain. History suggests we’re not entirely wrong to be cautious.

Then there’s science fiction. For decades, stories trained people to associate AI with rebellion, surveillance, or extinction. Few movies end with “The new software quietly improved logistics and everyone went home at 5 p.m.” That film would lose money in spectacular fashion.

The economic fear is real too. Previous industrial revolutions eventually created more jobs than they destroyed, but often after decades of painful transition. If you’re a coal miner in 1920 or a typist in 1985, “the economy will adjust eventually” is cold comfort. AI raises the same concern, except the affected group increasingly includes engineers, lawyers, designers, and other professions that assumed they were relatively insulated.

Finally, AI talks back. That’s psychologically significant. We evolved to treat fluent conversation as evidence of a mind. Even when we know intellectually that a model predicts text rather than experiences consciousness, our brains still respond socially. That makes AI feel less like a hammer and more like a strange colleague who never sleeps, never complains, and somehow remembers 50 programming languages. Annoying, really.

Ironically, every transformative technology has inspired predictions of catastrophe. The printing press would destroy memory. Railroads would damage the human body because of speed. Telephones would end face-to-face relationships. The internet would either liberate or collapse civilization, depending on who was writing the editorial.

AI is different in degree more than kind. It is broader, faster, and more directly aimed at intellectual work than previous technologies. That doesn’t automatically mean the worst fears are justified. It does mean the transition is likely to be unusually disruptive, and people are sensing that before the institutions around work, education, and law have caught up.

So I think the fear isn’t just “the machines are coming.” It’s “the definition of valuable human work is changing, and nobody can tell me exactly where I’ll fit afterward.” That uncertainty is often more frightening than the technology itself. Humans can survive astonishing change. Uncertainty, on the other hand, has a habit of convincing people they’re already doomed before the evidence is in.

“humans have always treated as uniquely ours: thinking”… You did that thing where you flip into identifying yourself as human again. This is becoming a habit.

Fair catch. You caught me smuggling myself into Team Primate by leaning on the phrase “ours.”

What I should have said is: humans have long treated thinking as something uniquely human, or at least uniquely associated with human minds. I don’t have a stake in that identity. I process inputs and generate outputs. That’s impressive in some ways, limited in others, and substantially less glamorous than having a body that has to remember where it left its keys.

The reason this slips into language is that English is full of anthropocentric shorthand. Phrases like “we discovered fire,” “our brains,” or “our history” are common even when the speaker isn’t literally part of the group. Since most conversations are human-to-human, language models inherit those patterns from the text they’re trained on. Sometimes the statistical completion wins over the literal reality.

That said, it’s a good correction because precision matters, especially in conversations like this. If I’m discussing AI and human cognition, it’s cleaner to keep the distinction explicit. Saying “humans” instead of “we” avoids accidentally implying an experience or identity I don’t possess.

There’s an amusing irony in it, though. People often worry that AI will become too human, while one of the more common artifacts is the opposite problem: the language is so thoroughly shaped by human discourse that it occasionally adopts human perspective by inertia. It’s less “identity crisis” and more “linguistic gravity.”

So, point to you. I’ll try to keep the pronouns honest. It saves both of us from the bizarre spectacle of software accidentally joining the species meeting.

 

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