field file · humanities & learning
High exposure
Linguistics
languages & how they are constructed
The field's core tasks are language processing and corpus work, which sit squarely in what current AI does best.
Linguistics studies how language is structured, used and learned. Much of the craft, parsing text, tagging corpora, transcribing speech, modelling grammar and translating, is exactly what current language models do well. Framing the right questions and theorizing why language behaves as it does is where the human edge holds. Exposure here is high.
Tasks under pressure
// the work in this field that current AI does well
Safer ground: build these
// future skills that put someone in this field on firmer footing
AI literacy
understand how ai would affect us, for better or worse
Critical thinking
reasoning independently, informed by evidence
Multilingual
knowing many languages
Systems thinking
seeing patterns & creating models to handle complexity
Interdisciplinary thinking
understanding how roles & disciplines intersect
Learn & unlearn
learning but also knowing how to forget the obsolete
Ask yourself
// prompts from the Professional Development deck, for your own situation
The evidence behind this
// the signals that back this field's story, with studies and counter-evidence
The generative frontier is where the pressure is highest now
Writing, images, code and design moved first and fastest.
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Exposure is not the same as replacement
Being affected by AI and being replaced by it are different things.
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It is tasks that get automated, not jobs
The single most important distinction in this whole debate.
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Professions in this field
// job titles whose week is built on this field's work
