Landscaping and Groundskeeping Workers: daily tasks & AI impact
This page breaks Landscaping and Groundskeeping Workers into the top 15 daily O*NET tasks and scores each for Generative AI automation probability. Those task scores roll up to an overall vulnerability index of 2/100 (Lower automation risk). Struck-through rows are ≥80% automatable; highlighted safer rows are under 30% or primarily physical.
High-automation exposure
No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.
Durable human work
This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.
Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.
| Task | Importance | AI probability | Nature |
|---|---|---|---|
| Gather and remove litter. Core | 4.13 | — | — |
| Use hand tools, such as shovels, rakes, pruning saws, saws, hedge or brush trimmers, or axes. Core | 4.08 | — | — |
| Operate vehicles or powered equipment, such as mowers, tractors, twin-axle vehicles, snow blowers, chainsaws, electric clippers, sod cutters, or pruning saws. Core | 3.95 | — | — |
| Water lawns, trees, or plants, using portable sprinkler systems, hoses, or watering cans. Core | 3.94 | — | — |
| Prune or trim trees, shrubs, or hedges, using shears, pruners, or chain saws. Core | 3.81 | — | — |
| Mix and spray or spread fertilizers, herbicides, or insecticides onto grass, shrubs, or trees, using hand or automatic sprayers or spreaders. Core | 3.78 | — | — |
| Use irrigation methods to adjust the amount of water consumption and to prevent waste. Supplemental | 3.77 | — | — |
| Care for established lawns by mulching, aerating, weeding, grubbing, removing thatch, or trimming or edging around flower beds, walks, or walls. Core | 3.54 | — | — |
| Follow planned landscaping designs to determine where to lay sod, sow grass, or plant flowers or foliage. Core | 3.54 | — | — |
| Trim or pick flowers and clean flower beds. Core | 3.52 | — | — |
| Attach wires from planted trees to support stakes. Core | 3.5 | — | — |
| Plant seeds, bulbs, foliage, flowering plants, grass, ground covers, trees, or shrubs, and apply mulch for protection, using gardening tools. Core | 3.46 | — | — |
| Mow or edge lawns, using power mowers or edgers. Core | 3.44 | — | — |
| Rake, mulch, and compost leaves. Core | 3.43 | — | — |
| Decorate gardens with stones or plants. Core | 3.38 | — | — |
What remains human
No tasks currently fall under the safe threshold for this occupation.
FAQ
Which Landscaping and Groundskeeping Workers tasks are most exposed to AI?
No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.
Which Landscaping and Groundskeeping Workers tasks are safest from Generative AI?
This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.
How should I read the Landscaping and Groundskeeping Workers task table?
Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.