field file · governance & society
Grounded
Global Development
development, collaboration & aid
Field trust and coordination are relational, so exposure sits in proposals, reporting and data work, not the partnership itself.
Global development is about change that holds in real places: building trust with communities, coordinating partners, judging what actually helps. AI can analyze data, draft proposals, translate and summarize field reports. The relationships, accountability and on-the-ground judgement at the heart of it stay human.
Tasks under pressure
// the work in this field that current AI does well
Tasks that gain value
// what gets more valuable as the routine work gets cheaper
Safer ground: build these
// future skills that put someone in this field on firmer footing
Cultural literacy
understanding how to communicate over cultural boundaries
Global mindset
seeing how things impact on the large scale
Sustainability
understanding environmental, economical & social impact
Social competence
communicating, cooperating & understanding others
Responsibility & ethics
acting for the benefit of society at large
Complexity
handling complexity or distilling it into simplicity
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
Social skills are getting more valuable, not less
The tasks that are hardest to automate are the ones between people.
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Most real AI use augments, it does not replace
What people actually do with AI, measured, not predicted.
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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
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the rules & frames set by the government
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