Precision Agriculture Technician
As a Precision Agriculture Technician, you play a crucial role in revolutionizing farming practices through technology and data analysis. Your expertise helps farmers optimize their crop yields while minimizing environmental impact, making this position vital for sustainable agriculture in the UK and beyond.
How this job changes over time
Our best estimates, shown as ranges and grades, not exact predictions.
| WHAT CHANGES | Now | 5 yrs | 10 yrs | 20 yrs |
|---|---|---|---|---|
| Tasks AI can do | 19% | 29% | 41% | 64% |
| Number of jobs | 100-110% | 98-110% | 90-108% | 65-95% |
| How hard to get in | B - achievable | B - achievable | B - achievable | C - hard |
| Job security | Strong | Strong | Fading | Unknown |
Right now, AI can already do about 19% of the day-to-day work in this job, and by 20 years from now that could be around 64%. There are likely to be a similar number of of these jobs over time, very roughly 65-95% of the 2024 number, 20 years out. Getting your first job here is fairly easy today, and it looks set to get harder. The work is hands-on, in the real world. Software alone can't do it.
What happens, and when
AI can already do about 29% of this job at this horizon, and the number of these roles is projected at roughly 98-110% of the 2024 total. Getting in is graded B - achievable, and job security here is rated Strong.
AI can already do about 41% of this job at this horizon, and the number of these roles is projected at roughly 90-108% of the 2024 total. Getting in is graded B - achievable, and job security here is rated Fading.
AI can already do about 64% of this job at this horizon, and the number of these roles is projected at roughly 65-95% of the 2024 total. Getting in is graded C - hard, and job security here is rated Unknown.
How to aim for this career
The protection here is physical: real tools, real materials, real places. Work experience, apprenticeships and hands-on subjects build the skill AI cannot reach from a screen.
Use AI for planning, records and diagnostics, but treat it as a tool that supports the work, not a replacement for doing it.
The part of this job that pays is done in a real place with real materials. That is what protects it, so keep steering towards it.
Careers that use similar skills, and hold
Worth a look if you like the sound of this path. Each one has something this job does not: a moat.
Sources: exposure figures from Anthropic labour market research (2026), observed real-world AI usage by occupation. Job-security forecast from OpenAI, "The AI Jobs Transition Framework" (Richmond, 2026, OpenAI Economic Research), CC BY 4.0. Grades and verdicts are Careermash editorial judgment: we show forecasts as forecasts and own our conclusions.