57
/100

SOC 45-4021

Fallers

ElevatedFrey/Osborne: 76.0%

Risk Score

โš ๏ธ

57/100

Elevated

US Employment

๐Ÿ‘ฅ

4,110

Total workers

Median Wage

๐Ÿ’ฐ

$54K

$36K โ€“ $85K

Projected Growth

๐Ÿ“ˆ

-7.3%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

10/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Fallers face a risk score of 57/100 โ€” 13 points above the national average of 44. With only 10/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $54K ($8K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 57/100, Fallers faces moderate automation pressure. While tasks like autonomous harvesting and planting machinery are increasingly handled by AI, the role retains significant human elements. The 4,110 workers in this occupation should focus on strengthening skills in operating in unstructured and remote environments and managing livestock behavior and welfare to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Fallers?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Autonomous harvesting and planting machinery

2

Satellite and sensor-based yield prediction models

3

Robotic sorting and packing of produce

4

Drone crop monitoring and precision spraying

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Operating in unstructured and remote environments

โœ“

Managing livestock behavior and welfare

โœ“

Adapting to variable weather and terrain conditions

โœ“

Sustainable land management judgment calls

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Stop saw engines, pull cutting bars from cuts, and run to safety as tree falls.

โ€ข

Appraise trees for certain characteristics, such as twist, rot, and heavy limb growth, and gauge amount and direction of lean, to determine how to control the direction of a tree's fall with the least damage.

โ€ข

Saw back-cuts, leaving sufficient sound wood to control direction of fall.

โ€ข

Clear brush from work areas and escape routes, and cut saplings and other trees from direction of falls, using axes, chainsaws, or bulldozers.

โ€ข

Measure felled trees and cut them into specified log lengths, using chain saws and axes.

๐Ÿ’ป Technology Skills

โ€ข

Analytical or scientific software

โ€ข

Inventory management software

โ€ข

Data base user interface and query software

โ€ข

Accounting software

โ€ข

Enterprise resource planning ERP software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Production and Processing

โ€ข

Administration and Management

โ€ข

Public Safety and Security

โ€ข

Customer and Personal Service

๐Ÿ“Š vs National Average

Median Wage$54K
+$8K

National avg: $46K

Risk Score57/100
+13

National avg: 44/100

GenAI Exposure10/100
-28

National avg: 38/100

Projected Growth-7.3%
-11.0%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Social Scientists and Related Workers21$93K57%
Political Scientists25$139K69%
Occupational Health and Safety Specialists and Technicians26$79K67%