A provocative name.
A thoughtful conversation.

What you’ll find here

Visual explanations, selected research, and practical questions about how work could change. We focus on the difference between a task a system could perform, a tool people actually use, and the outcomes workers experience.

There is no personal evaluator, automated career score, or n8n analysis integration. The illustrated work examples are editorial explanations, not predictions about specific professions.

How to read the evidence

1. Keep the scope attached. A US study does not automatically describe the world. A measure of one product’s usage is not a census of all AI adoption.
2. Separate forecasts from observations. Employer expectations and economic scenarios are useful lenses, but they are not events that have already happened.
3. Follow the original source. Each chart and research clipping links to its underlying publication. Our summaries are original, abbreviated, and may omit detail that matters to your question.
4. Leave room for uncertainty. Exposure is not a personal probability of job loss. Economic outcomes also depend on demand, institutions, and choices about how technology is used.

The source shelf

1. ILO — Generative AI and jobs: A 2025 update ↗
   20 May 2025. Global occupational exposure assessment. Source for the one-in-four illustration. The dot display represents the rounded headline estimate, not individual survey respondents.
2. World Economic Forum — Future of Jobs Report 2025 ↗
   7 January 2025. Source for the 170M / 92M / +78M chart. Bar lengths share a linear scale starting at zero. Estimates cover multiple macrotrends, not AI alone.
3. Anthropic — Labor market impacts of AI ↗
   5 March 2026. US labor-market research using an observed-exposure measure partly derived from Claude usage. Produced by an AI provider.
4. Anthropic — Scenarios for our Economic Future ↗
   2026. An interactive model of alternative US economic futures. Included as an exploration of assumptions, not a forecast endorsed by Jobkiller.

Original geometric illustrations and decorative article artwork are created for this site. The artwork is not statistical evidence. The “road to 2030” section and practical suggestions are Jobkiller editorial synthesis.

How the news desk updates

A scheduled job on our VPS retrieves Google News RSS results for AI and employment topics every hour. We display up to 12 dated headlines from the last 30 days, newest first, with duplicate titles removed. We store headline metadata and links, not article bodies or publisher images.

If the source is unavailable, the last successful edition remains visible with its original refresh time. After three hours without a successful refresh, the page flags that edition as delayed. Articles older than 30 days are hidden. This is a convenient reading list, not comprehensive coverage or independent verification of a headline.

A simple site, with a small footprint.

This version has no accounts, forms, job-description uploads, advertising scripts, or analytics scripts. It does not set application cookies or save information in your browser’s local storage. Its fonts and artwork are served from the same site.

The web server and reverse proxy process requests and may record technical access logs, including IP addresses and request details. We have not published a retention commitment. External reading links take you to other organizations’ websites, which apply their own privacy practices.

Keep asking better questions.

Use the sources to challenge a claim, compare approaches, and see what a headline leaves out. The aim is a better-informed conversation about work—not certainty about a future that has not happened yet.