Repair and maintain farm vehicles, implements, and mechanical equipment.[2]
Where your edge is
Time Machine
Farmworkers and Laborers, Crop, Nursery, and Greenhouse
Scrub through 174 years of this role's history — from when it first emerged, through every wave of technology that reshaped it, to the cited projections for where it's heading next.
187519001925195019752000now
Drag the dot, click anywhere on the track, or use ← → arrow keys (Shift for 10-year jumps, PgUp/PgDn for 25).
2026
Known today as Farmworkers and Laborers, Crop, Nursery, and Greenhouse (BLS SOC 45-2092)
US Employment
505K
BLS National Employment Matrix 2024 baseline employment for SOC 45-2092, used as the authoritative baseline for the 2024-2034 projection cycle. This is the wage-and-salary employment count; self-employed and contract labor may add to the total. The H-2A program certified approximately 385,000 positions in FY 2024, with approximately 315,500 actual visas issued — meaning H-2A workers alone represent a significant share of total reported employment. The BLS figure likely undercounts undocumented workers who may not appear in establishment surveys.
Median Annual Wage
$33,600
Source: BLS-OEWS
Tool of the era · Precision ag-robotics — LaserWeeder, autonomous tractors, vision-guided pickers
By 2018, the economics of farm labor had shifted enough that robotics companies could find a business case in agricultural applications that the cotton-picker era could not touch. Carbon Robotics (founded 2018, Seattle) launched the LaserWeeder: a GPS-guided tractor-attachment that uses computer vision to identify weed plants in a crop row and fire precision carbon dioxide lasers to kill them without herbicide. The system eliminates the hand-weeding labor that represents a significant seasonal labor demand in organic vegetable and specialty crop production. By 2024, Carbon Robotics had deployed approximately 100 units commercially, with customers in California, Oregon, Washington, and the Pacific Northwest. FarmWise (founded 2017, San Jose) deployed its Titan FT35 weeding robot — a large autonomous machine that cultivates between rows and uses AI vision to remove weeds by mechanical action, without chemicals. Naio Technologies (founded 2011, France) markets the Oz robot weeder and Ted vineyard robot in US markets. The most symbolically significant deployment was John Deere's 8R Autonomous Tractor, unveiled at CES 2022 and available to commercial customers in 2022: a fully autonomous 410-horsepower tractor that operates without a driver in the cab, using cameras and GPS to plow, cultivate, and plant fields. Deere sold its first units to US farmers in late 2022. Tortuga AgTech (founded 2017, Houston) has demonstrated strawberry-picking robots capable of identifying and harvesting ripe strawberries — the most challenging hand-harvest task because strawberries are fragile, ripen unevenly, and grow in geometrically irregular positions. As of 2026, Tortuga systems remain in advanced trials rather than broad commercial deployment. The pattern across all of these platforms: narrow deployment in specific crops and tasks where the labor cost is highest (organic weed management, wine grapes, strawberries) with CAPEX of $100,000-$400,000 per machine that has not yet broken even against labor costs in most conventional crop farming contexts.
BLS projects a -3.3% employment decline for SOC 45-2092 from 2024-2034 — modest shrinkage rather than collapse. The robotics platforms are real but narrow: Carbon Robotics LaserWeeder ~100 units deployed, John Deere 8R Autonomous Tractor in initial commercial sales, strawberry-pickers not yet at scale. The H-2A program continues growing (385,000 certified positions in FY 2024), indicating that growers in most crop categories still rely on human labor and have not found a cost-effective robotic substitute.
Projection cone · present → 2034
What credible sources project
Scrub the slider past now to anchor each scenario on the scrubber. The spread you see below is the range of futures credible sources project for this role.
H-2A expansion / immigration enforcement tightening scenario
→ 2034
+5%
Optimistic tail of the uncertainty cone for this occupation. If immigration enforcement intensifies and undocumented workers leave agricultural employment — as occurred in 2008-2010 during ICE worksite enforcement operations — growers would expand H-2A program use, increasing the documented workforce count and potentially the total BLS-measured headcount. The H-2A program grew from 65,345 visas in 2012 to 315,500 in 2024 — a 4.8x increase in 12 years — driven by labor scarcity and enforcement pressure. If enforcement tightens further without corresponding increases in immigration pathways, and if robot CAPEX remains too high for small and medium growers, the documented hired crop-worker count could grow 5-10% from 2024 levels even as undocumented workers cycle out. This is not a technologically optimistic scenario; it is a policy-driven labor-accounting scenario.
Eloundou et al. — "GPTs are GPTs" (2023)
→ 2028
-1%
GPT-4 task-by-task LLM exposure labeling on O*NET tasks for crop farmworkers. Crop farmworkers score very low on LLM exposure because essentially none of their core tasks — transplanting seedlings, hand-weeding, harvesting, tying vines, operating irrigation — are text-based tasks an LLM can perform. This is not the relevant threat for this occupation. Eloundou's methodology correctly captures that this occupation is not threatened by language models; the threat is physical robotics (laser weeders, autonomous tractors, robotic pickers) and that threat is categorically different and not well modeled by GPT-4 task labeling. The -1% estimate represents only AI-assisted planning tools (precision irrigation scheduling, yield prediction) that may marginally reduce per-acre labor requirements.
BLS National Employment Matrix 2024-34
→ 2034
-3.3%
BLS Employment Projections 2024-34 cycle (most current). Baseline 504.8 thousand (2024); projected 488.1 thousand (2034); net change -16,700 jobs (-3.3%). This is slower than average decline — the all-occupation average for this cycle is approximately +4%, so -3.3% represents modest contraction rather than rapid displacement. BLS methodology models observed productivity trends and demand projections under current technology and policy trajectories; it does not model speculative scenarios of full robotic deployment. The -3.3% projection implicitly assumes continued H-2A growth but slower growth in ag-robotics deployment at scale.
Agricultural robotics acceleration scenario
→ 2034
-20%
Pessimistic tail of the uncertainty cone. If ag-robotics CAPEX falls by 50-60% over the next decade (as it has for solar panels, drone platforms, and autonomous vehicles in adjacent domains), growers in high-labor-cost states (California, Oregon, Washington) who currently pay H-2A workers $15-19/hr plus housing and transportation could find robotic weeding, thinning, and harvesting systems cost-competitive in 5-7 years. Strawberry-picking robots from Tortuga AgTech and Harvest CROO Robotics are in advanced trials; California wine-grape robotics from FFRobotics and Abundant Robotics have demonstrated commercial viability in specific vineyard configurations. If these platforms reach commercial scale by 2028-2030 and the commodity-crop weeding market (Carbon Robotics, FarmWise) expands at its current trajectory, a -15% to -25% employment decline by 2034 is a plausible downside scenario, particularly in California and other high-minimum-wage states where the labor-cost pressure is greatest.
Frey & Osborne (2013)
→ 2033
-40%
Gaussian-process classifier on O*NET task features. Frey & Osborne assigned Crop Farmworkers a probability of computerization of approximately 0.87 — placing them in the high-risk category of the 702-occupation dataset. The bottleneck factors that did not push them to 0.95+: irregular terrain, variable crop conditions, and fine motor dexterity requirements for handling fragile produce. At 0.87 probability over 10-20 years, a -40% scenario represents a plausible realization of their forecast. In practice, employment from 2010 to 2024 has been roughly flat (575,000 → 504,800), indicating partial F&O vindication: some displacement has occurred via robotics and declining domestic food-crop acreage, but the magnitude and speed are far less than 0.87 would imply. The F&O analysis modeled technical feasibility; it did not model the H-2A program's political-economic function as a permanent supply mechanism, or the CAPEX barriers to farm-robot deployment.
Today, in this role
What's shifting in the work right now
The historical view above shows how this role has moved. This is the present-day detail: which AI tools are picking up which tasks, where the edge still is, and the natural directions this work can grow.
What's changing in your day
Three parts of your work where AI is already doing real lifting — and what stays yours.
Set up and operate irrigation equipment.[2]
Where your edge is
Inform farmers or farm managers of crop progress.[2]
Where your edge is
Present-day sources
Sources
Every claim on this page traces back to one of the following. Updated 2026-05-30.
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