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Singulariki

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New to Singulariki? A 60-second orientation: what this is, how to find where your work sits, and how to read it honestly.

  1. What this is

    Singulariki is a source-backed map of work in the age of AI — an encyclopedia, not a prediction machine. Every figure names its dataset and version. Nothing here forecasts your job away.

    See the sources & method →
  2. Find where your work sits

    Type a job, skill, or industry into the search on the home page. You'll land on a page that shows the work's tasks, pay, preparation, tools — and how much of it today's AI can assist.

    Find your coordinate →
  3. Three scales

    The same data reads at three scales: a person (your occupation), a company (its mix of occupations), and a role (a specific job's tasks). Most pages let you zoom between them.

    Browse occupations →
  4. The big-picture views

    Step back and see the whole landscape: the global GenAI exposure gradient, the cross-occupation exposure lenses, and the BLS job-outlook hub.

    The exposure gradient →
  5. How to read a band honestly

    “AI exposure” means task overlap — how much of the work today's models could assist — not automation, not jobs lost, not a verdict on your career. High exposure often means a powerful copilot, not a pink slip. Always read the band as overlap, never as destiny.

    What stays human →

Or start at the scale you think in

Three honest doors into the same map — pick the scale you think in.

A person

Land on your occupation’s coordinate — its tasks, pay, preparation, and AI-exposure band.

A business

See your industry’s workforce shape and its employment-weighted AI-exposure band.

The work itself

Find a single skill or tool — the jobs that rely on it and how exposed that work is.

“Business” here means your industry’s shape, not a per-company score — AI exposure is task overlap drawn from public datasets, never a verdict on any single employer or person.

Find where your work sits →

Or just browse the encyclopedia — every page is open, no sign-in.