Criminologist
35NOT A FORECAST80%
Criminologists study why crime happens and how to prevent it. They look at crime data, interview people, and work with police and governments to understand what causes crime and how to make communities safer.
THE DOOR: ENTRY DIFFICULTY TODAY, graded A (easy) to E (extremely hard). A Careermash rule-of-thumb index built from our AI exposure index and the job's moat class. It is not a forecast and not a count of job openings.
AI EXPOSURE TODAY is a Careermash index from 0 to 100 of how exposed this job's everyday tasks are to AI today. We estimate it by matching published research on how people use AI to this job, usually by keyword or subject area, and we lower it where the work is protected (for example by physical, personal or legal requirements). It is not a direct measurement of how much people in this job use AI.
These figures come from a Careermash rule of thumb, not a forecast. Use them to think about the job, not to predict it.
| WHAT CHANGES | Today | 5 yrs (scenario) | 10 yrs (scenario) | 20 yrs (scenario) |
|---|---|---|---|---|
| AI exposure today, then scenario share of tasks | 35 | 53% | 67% | 80% |
| THE DOOR · Entry difficulty today (rule of thumb) | B - achievable | |||
AI exposure today for this job is 35 on our index, which is an estimate, not a measurement of how much people in this job use AI. In our Careermash scenario that could reach around 80% of the work in 20 years, but that is a scenario, not a forecast. We do not have a reliable forecast of how many of these jobs there will be. Getting your first job here is fairly easy today. This job has no special protection, so the trick is to keep building skills AI cannot copy.
In our Careermash scenario AI would be used for about 53% of this job's day-to-day work by this point. This is a scenario, not a forecast.
In our Careermash scenario AI would be used for about 67% of this job's day-to-day work by this point. This is a scenario, not a forecast.
In our Careermash scenario AI would be used for about 80% of this job's day-to-day work by this point. This is a scenario, not a forecast.
When you start, AI will do most of the quick, routine work. So build the parts that stay human: good judgement, working well with people, and knowing one subject deeply.
The people who do well will use these tools to get real results, not fear them. Start now: try AI tools on school projects and learn how to guide them to a good answer.
Aim for the part of a job where a person still decides what to make, checks the work, and owns the result. Keep your options open too, since the same skills suit nearby jobs that AI changes less.
Worth a look if you like the sound of this path. Each one has something this job does not: a moat.
Sources: AI exposure today blends published AI-usage research (Anthropic 2026; OpenAI 2026), matched to each job by keyword or subject area, with our own UK reviews of labour-market moats, robotics and scientific developments. It is an estimate, not a direct measurement of use in each job. The entry difficulty grade, the job security grade and the scenario figures are Careermash rules of thumb built from our exposure index and each job's moat class. They are not forecasts. Grades and verdicts are Careermash editorial judgment.