Agricultural Contractors: how AI changes this job over time
Our best estimates, shown as ranges and grades - not exact predictions.
Right now, AI can already do about 8% of the day-to-day work in this job, and by 20 years from now that could be around 53%. There are likely to be fewer 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. What keeps this job safest is the hands-on work that has to be done in the real world.
What we assume: AI keeps getting cheaper and better; robots arrive more slowly - small effect by ~2031, bigger by ~2036, widespread by the mid-2040s. "Number of jobs" means how many jobs there will be compared with 2024 (100% = the same). "How hard to get in" runs from A (easy) to E (very hard).
How a Agricultural Contractors job changes over time
AI does very little of this kind of work today, and that is not about to change quickly. The job is physical and hands-on, which means a person has to actually be there. That makes this one of the more secure paths you can choose right now.
AI tools may help with paperwork or planning around the edges, but the hands-on work stays with you. Entry into these jobs stays tied to practical skill and experience.
AI gets better at helping with the non-physical side of the job, like scheduling or record-keeping. The core work itself stays with real people for the foreseeable future.
Nobody can honestly say what large-scale robotics will look like by the 2040s. Some of these jobs may be affected eventually, but that is still uncertain and a long way off.
The honest bottom line: this is a genuinely safe choice for the next ten to fifteen years. Robots that could do this work at scale are still a long way off and very expensive. Build your practical skills, get qualified, and you will be in a strong position through the 2030s.
How to aim for a Agricultural Contractors career
You're looking ahead at this job. By the time you join, AI will already do more of it - so aim for the part that will still need a person.
Sources: exposure dial - Anthropic labour market research (2026), observed real-world AI usage by occupation. Job-security category and forecast - OpenAI, "The AI Jobs Transition Framework" (Richmond, 2026, OpenAI Economic Research), CC BY 4.0, matched to "First-Line Supervisors of Farming, Fishing, and Forestry Workers" (45-1011.00). Scorecard grades and verdicts are CourseMap editorial judgment - we show forecasts as forecasts and own our conclusions.