Simon Janssen
Simon Janssen· CTO at HappyNurse · UK AI Exposure Map 2026
Agriculture & Skilled Trades

Gardeners and Landscape Gardeners and AI

Low exposureAI score 2/10 · Agriculture & Skilled Trades
2out of 10
JPE Score
Median salary
£26K
ASHE 2024
Forecast 2030
0% to +10%
Employment
164K
ONS APS 2025
Employment growth 2021-2025 (ONS APS)
+10%
Forecast trend 2025-2030
growth
Part-time
29%
Female share
18%
Sector
Agriculture & Skilled Trades

Exposure scores

JPE (Practical Exposure)2/10 — Low exposure
Employment growth 2021-2025 (ONS APS)+10%

AI exposure explained

What does an AI score of 2/10 mean?

Interpretation

Low exposure — AI is unlikely to significantly change this occupation in the near term.

Gardeners and Landscape Gardeners has low AI exposure and grew in recent years. This occupation relies on human-centred demand that AI cannot easily replicate.


Forecast 2030

What changes for Gardeners and Landscape Gardeners?

Expected employment change, 2025 to 2030
0% to +10%
Midpoint +4% · Growth occupation: expected demand rises
Basenational projection, without AI+5%
Base + AIJPE 2/10: 0%+5%
Base + AI + roboticseffect from ~2029: −0.5%+4%
Rows add up: the bottom row is the forecast.

The forecast starts from the national projection per occupational group and adds AI and robotics as separate layers. The band of 0% to +10% matters more than the midpoint. Robotics: Robot mowers for sports pitches and parks take over the mowing, but pruning and landscaping remain manual work. (Expert estimate 3/10, effect to 2030 between 0% and −1%.)

Sources: base DfE Labour market and skills projections 2020 to 2035 (Working Futures), baseline · jobs, part-time and female share: ONS Annual Population Survey (Nomis NM_218_1), 2025 · salary: ASHE 2024. Working Futures differentiates growth only at the level of 26 occupational sub-major groups; the AI and robotics layers refine per occupation.

Read the methodology →


Sector context

Agriculture & Skilled Trades and AI

Gardeners and Landscape Gardeners belongs to the Agriculture & Skilled Trades sector. This sector has an education level index of 2/4, indicating moderate formal education requirements. Occupations in Agriculture & Skilled Trades with high AI exposure tend to remain relatively stable as the work relies primarily on physical, interpersonal, or contextual skills.


AI tools

Which AI tools are already making an impact?

ChatGPT

Career outlook

AI as an asset

This occupation is not directly threatened by AI. The smartest move is to learn the AI tools that strengthen your work: not because you have to, but because it makes you more productive and valuable.


Personal development

Personal development plan

Based on your sector (Agriculture & Skilled Trades) and AI exposure level, here are three concrete steps to future-proof your career.

Implement precision farming with AI

Targeted input reduces costs by 15-20% while boosting yield

→ John Deere Operations Center, Climate FieldView
Use AI crop monitoring and scouting

Satellite and drone imagery detects issues days before visual inspection

→ Climate FieldView, Sentera
Adopt AI yield prediction

Better harvest forecasts improve planning and market timing

→ John Deere Operations Center, Granular

Related occupations

Similar occupations on the map

Farmers
AI 3.5/10·+4% 2030
Agriculture & Skilled Trades
Physiotherapists
AI 3.5/10·+5% 2030
Healthcare
Midwives
AI 3.5/10·+5% 2030
Healthcare

International

This occupation in other countries

🇩🇪Gärtner/innen und Landschaftspfleger/innen
AI 2/10Gardeners & Landscapers
🇫🇷Jardiniers et paysagistes
AI 2/10Gardeners and Landscapers

About this analysis

AI scores are LLM-estimated using the same methodology as the Dutch AI Exposure Map, making scores directly comparable across countries. Where shown, the Felten AIOE score is an academic reference. Job counts, growth 2021-2025, part-time and female share from the ONS Annual Population Survey (Nomis NM_218_1), SOC 2020; salaries from ASHE 2024 (an estimate where ASHE has no figure). The 2030 forecast (JPE-prognose v3) starts from the DfE Working Futures baseline and adds separate AI and robotics layers. These are modelled scenarios, not predictions. A high AI score does not automatically mean job loss. All data CC BY 4.0.

Full methodology, sources and download →


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