English major
The Dictionary’s informal name for a skill pattern emerging around agentic work: people trained to specify, interpret, and edit may be unexpectedly useful when software can generate code.
In one sentence
An “English major,” in this Dictionary’s agentic-AI usage, is a person whose training in language, interpretation, and revision becomes technically useful because directing an agent requires clear specifications and critical reading of its work.
Why this term exists
For roughly forty years, the cultural assumption in the technology industry was that coding and writing were two different skills exercised by two different kinds of people. Software engineering was held to be a STEM discipline; clear writing was a separate, softer competency, often dismissed as nice-to-have.
Then agentic coding tools arrived and moved part of the work. For some tasks, the immediate question shifted from can you remember the syntax for a hash map in this language? to can you specify what you want clearly enough, inspect what the model produced, and recognise where it is wrong? The first question includes recall. The second combines writing, domain knowledge, interpretation, and verification.
The English-major phenomenon is the Dictionary’s hypothesis about that shift. The best agent operators need not be the people with the fastest unaided syntax recall; strong writers, product managers, lawyers, and technically curious humanities graduates may bring useful training in clear specification under ambiguity. This is a claim to test against hiring and performance evidence, not a settled labour-market statistic.
What it actually looks like
The “English major” pattern in practice:
- A specification document that reads like an editor wrote it. Crisp, unambiguous, with the implicit cases made explicit.
- Conversations with the agent that read like an editorial back-and-forth — questions, clarifications, “what did you mean by that?” probes.
- A noticeably better hit rate on the agent’s first or second attempt at a task, because the request was clearer to begin with.
- A willingness to read the agent’s output critically, the way an editor reads a draft, rather than skimming it for structure.
- A tendency to write more comments and documentation than was conventional in the pre-agent era — because the comments are now also part of the brief for the next agent run.
Working example
A manager asks an agent to “build a dashboard for sales.” A weak brief leaves sales, dashboard, users, time periods, data sources, permissions, and acceptance tests undefined. A strong operator turns the request into a bounded specification, asks the missing questions, reads the implementation critically, and tests the result. Writing skill does real technical work here, but only when joined to enough system knowledge to notice omissions and enough discipline to verify the output.
Why this matters in a teaching context
For a BBA or MBA classroom, the English-major hypothesis is a useful case of automation changing which complementary skills become valuable. Some syntax production can be delegated. Clear writing, problem framing, and verification may therefore carry more weight than they did in the old workflow. Whether employers reprice those skills—and by how much—is an empirical question still being answered.
For the Isenberg context specifically, the management student who took writing-intensive electives, learned to write tight memos, and can turn ambiguous business problems into testable instructions has a useful part of the AI-augmented skill set. The degree alone supplies neither technical judgement nor verification habits; those have to be learned too.
A second framing: the English-major shift is what zhengming (the rectification of names) looks like when an industry discovers that it has been naming only one part of the job. Syntax mattered and still matters. Specification, interpretation, and verification were always present; agentic tools make them harder to ignore.
The prophetic case: William Gibson
The English-major phenomenon has a forty-year precedent that nobody in the technology industry adequately absorbed the first time.
William Gibson earned a BA in English at the University of British Columbia. He was not a programmer and has often described his early ignorance of computers as imaginatively useful. He coined cyberspace in the 1982 story “Burning Chrome” and popularised it in Neuromancer (1984), describing a networked information world before the public internet made such a world ordinary.
His explanation for how he got there is worth reading slowly. He was not modeling technical systems. He was watching children at video arcades:
“I could see in the physical intensity of their postures how rapt the kids were… It was like a feedback loop, with photons coming off the screens into the kids’ eyes, neurons moving through their bodies, and electrons moving through the video game. These kids obviously believed in the space these games projected.”
That observation — extracted from a sidewalk, by a novelist paying attention to the wrong people in the right room — produced the conceptual vocabulary that the internet industry spent the next decade building toward.
But Gibson has said something more precise about the act of coining the word itself. Cyberspace, he has explained, was invented as an empty vessel — a word that sounded like the thing he was trying to name, before he knew what the thing was. He needed a container. He built one out of sound and feeling. And then reality, over the following decade, poured itself in.
In his short prose piece Academy Leader (1991), Gibson described the act in his own voice:
“Assembled word cyberspace from small and readily available components of language. Neologic spasm: the primal act of pop poetics. Preceded any concept whatever. Slick and hollow — awaiting received meaning.”
“All I did: folded words as taught. Now other words accrete in the interstices.”
This is naming as a generative act, not a descriptive one. The word did not describe an existing thing — it preceded any concept whatever. It created the attractor around which an existing thing could organize, and meaning accreted in the interstices over the following decade. The internet did not make “cyberspace” accurate; “cyberspace” helped make the internet legible. An English major understood this before the engineers did, because the engineers were building the vessel and Gibson was already thinking about what it would hold.
The underlying capacity is imagination — not in the casual sense of creativity or whimsy, but in the precise sense: the ability to hold something that does not yet exist with enough clarity to name it. STEM disciplines, at their best, train rigorous analysis of what is. Imagination works on what isn’t yet. Gibson’s method — observing the human signal in the technological noise and naming what he saw with sufficient precision — is imagination applied as a technical instrument. The name creates gravity. Reality organizes around it.
This is why the English-major phenomenon is not simply a labor-market curiosity. It points at something deeper: the skills that the technology industry systematically undervalued for forty years are exactly the skills that produce the conceptual vocabulary a field needs to understand itself. Gibson gave the internet its name before the internet existed. That is not a coincidence of talent. It is what trained imagination, applied seriously, does.
The same method runs through his essay “Doing Television” (published in Tesseracts 3, the Canadian science fiction anthology, 1990; a slightly longer version titled “Darwin” ran in The Face and Spin the same year). In it, a girl named Kelsey, in a room in Darwin, Australia, buys a cassette tape from a man on the street — and Gibson, watching, begins to extract what the transaction means about technology, value, and culture at the edge of the global system. The scene has nothing to do with computers. It has everything to do with how technological objects move through human worlds in ways their designers did not intend.
“The street finds its own uses for things.” That line, from the same period, became one of the defining observations of the digital age. An English major wrote it.
Forty years later, Agency (2020) offered the Dictionary a useful fictional vocabulary for agentic AI—scoped powers, oversight, and the authority to terminate. Calling the novel a design document would be too literal. Its value is interpretive: Gibson specified the human relationships around imagined systems precisely enough to help us question real ones.
This is the English-major method at its fullest extension: find the human signal in the technological noise, name it with enough precision that the name becomes load-bearing, and trust that the specification will outlast the specific tools it was written about.
Gibson is the existence proof for the narrow claim: literary attention can produce technical vocabulary that engineers later find indispensable. The broader claim—that agentic work will materially reprice liberal-arts graduates—remains a live hypothesis.
Trade-offs
- Not every English major is suddenly a software engineer. The pattern is real but easily overstated. The strong English major still needs a curiosity about systems, a willingness to read code carefully, and a tolerance for debugging — none of which are guaranteed by the degree.
- The window may not last forever. As agentic coding tools mature, specification skills may become more widely taught. Any early advantage held by clear writers may compress.
- Old-style engineering skills did not become useless. They became necessary but insufficient. The strongest performers combine both.
Related and adjacent terms
- Specification skill — the broader capability of which English-major performance is one expression.
- Prompt engineering — the early, narrow framing of the same skill.
- Vibe coding / bathrobe coding — adjacent labor-market phenomena describing how the work itself has changed shape.
Sources
- Athabasca University, William Gibson (biographical note, including his UBC English degree).
- William Gibson, “Academy Leader,” in Michael Benedikt, ed., Cyberspace: First Steps (MIT Press, 1991).
- William Gibson, “Doing Television,” in Tesseracts 3 (1990); expanded as “Darwin” in The Face and Spin the same year.
- William Gibson, Burning Chrome (1986), Neuromancer (1984), and Agency (2020).
See also
Naming · Tool · Agent · The Lowbeer Question · forthcoming Bathrobe Coding