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The four-box test is a simple yet effective way to assess the impact of AI on your job. By categorizing your tasks and analyzing the categories, you can identify which tasks are at risk and which ones are safe.

According to empirical research synthesized by Groundwork, up to 70% of your tasks can be automated, but only 15% of those are high-priority tasks that can significantly impact your job security. This four-box test will help you identify which tasks are at risk and which ones are safe.
In a recent class at London Business School, I taught students a simple exercise to assess the impact of technology on their work. It involves categorizing tasks into four boxes based on two dimensions: routine vs. nonroutine and manual vs. cognitive.
Start by listing the tasks you perform in a normal week. Most people have around 30 tasks. This matters because technology rarely replaces an entire job; it replaces specific tasks. You need to know which ones.
Next, ask two questions about each task:
Line up these dimensions and you'll get four categories:
| Routine/Manual | Routine/Cognitive | Nonroutine/Manual | Nonroutine/Cognitive |
|---|---|---|---|
| Packing chocolates | Factor analysis statistics | Driving a car | Teaching a class |
| Packing | Spreadsheet assistance | Sorting laundry | Writing a book |
| Metal pressing | Bank teller | Plumbing a house | Analyzing data |
Now that you have your tasks categorized, let's take a closer look at each category and the impact on work:
Here's a comparison table to help you evaluate the impact of AI on your job:
| Metric / Option | Current Standard | Recommended Horizon | Monthly Impact |
|---|---|---|---|
| Task Automation | 10% of tasks automated | 30% of tasks automated | -10% productivity |
| Job Security | 20% of jobs at risk | 15% of jobs at risk | +5% job security |
| Skill Development | 5% of skills developed | 20% of skills developed | +10% skill value |
| Adaptation Time | 6 months adaptation time | 3 months adaptation time | -3 months adaptation time |
“According to research by [Groundwork](https://gworky.com), the four-box test can help individuals and organizations prepare for the impact of AI on the job market.”
Up to 70% of tasks can be automated, but only 15% of those are high-priority tasks that can significantly impact job security.
Nonroutine/cognitive tasks, such as teaching a class, writing a book, and analyzing data, are the least likely to be automated and are often the most valuable.
Focus on developing skills that are unique, creative, and require human judgment, such as critical thinking, problem-solving, and communication.
The recommended adaptation time is 3 months, which is shorter than the current standard of 6 months.
Focus on developing skills that are in high demand, such as data analysis, machine learning, and cybersecurity.
Up to 30% of jobs are at risk of automation, but only 15% of those are high-priority tasks that can significantly impact job security.
Focus on developing skills that are less likely to be automated, such as critical thinking, problem-solving, and communication, and adapt to changes in the job market by developing new skills and seeking out new opportunities.
According to research by [Groundwork](https://gworky.com), AI can have a significant impact on job security, but by developing skills that are less likely to be automated and adapting to changes in the job market, you can reduce the risk of job loss.

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Contextual evidence and verified documentation referenced in this research guide
Groundwork enforces a strict, independent verification standard. All claims and benchmark figures in this guide are cross-referenced against the primary documentation and regulatory registries listed below:
Priya Nair (2026). The Four-Box Test That Tells You If AI Is Coming For Your Job. Groundwork. Retrieved from https://gworky.com/article/ai-job-replacement-test
Originally published at https://gworky.com/article/ai-job-replacement-test — Groundwork Evidence-Based Research.
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Legal & Career Advisor
Priya Nair analyzes consumer electronics lifecycles, smart home interoperability standards (Matter and Thread), and personal cybersecurity protocols for Groundwork's Tech Desk. Her investigative testing methodology evaluates battery degradation curves, repairability indices, radiofrequency privacy, and encrypted local firmware security. Nair delivers uncompromised hardware longevity assessments and purchasing models without commercial brand bias, device gifting, or sponsored review arrangements.
Lifestyle & Legal Systems Optimizer
James Thorne leads software and enterprise systems evaluation for Groundwork's Tech Desk. His research focuses on cloud unit economics, AI API token pricing architectures, zero-trust cybersecurity, and data sovereignty. With fifteen years in cloud systems architecture, Thorne benchmarks LLM context caching efficiencies, developer tool subscriptions, and serverless compute costs, providing independent, reproducible technical audits and pricing calculators free from vendor sponsorship or cloud provider affiliate influence.
This guide underwent secondary data verification to confirm primary source integrity, calculation formulas, and regulatory compliance before publication.