field file · data & technology
Rising exposure
Artificial Intelligence
system(s) with human-like intelligence
Much of the build-and-tune loop is itself automatable, so the routine craft sits close to the moving frontier.
AI work builds the systems themselves: framing problems, preparing data, training and evaluating models, shipping them into use. The tools now write much of their own scaffolding, generating code, tuning pipelines, drafting evaluations, automating routine experiments. What gains value is judgement on what to build, how to evaluate it honestly and who is accountable for the result. Exposure is rising as the craft automates parts of itself.
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
AI literacy
understand how ai would affect us, for better or worse
Systems thinking
seeing patterns & creating models to handle complexity
Responsibility & ethics
acting for the benefit of society at large
Critical thinking
reasoning independently, informed by evidence
Problems
identifying problems & finding their root
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
The generative frontier is where the pressure is highest now
Writing, images, code and design moved first and fastest.
→
New work appears where old tasks disappear
The jobs of 2040 are mostly not invented yet.
→
The forecasts disagree, and that is the point
Anyone giving you one confident number is selling something.
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Professions in this field
// job titles whose week is built on this field's work
