69
/100

SOC 45-4023

Log Graders and Scalers

High RiskFrey/Osborne: 97.0%

Risk Score

โš ๏ธ

69/100

High Risk

US Employment

๐Ÿ‘ฅ

3,310

Total workers

Median Wage

๐Ÿ’ฐ

$47K

$35K โ€“ $63K

Projected Growth

๐Ÿ“ˆ

-0.7%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

67/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Log Graders and Scalers face a risk score of 69/100 โ€” 25 points above the national average of 44. With 67/100 GenAI exposure, this occupation faces significant pressure from AI tools despite weak projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $47K ($400 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 69/100, Log Graders and Scalers faces moderate automation pressure. While tasks like autonomous harvesting and planting machinery are increasingly handled by AI, the role retains significant human elements. The 3,310 workers in this occupation should focus on strengthening skills in adapting to variable weather and terrain conditions and managing livestock behavior and welfare to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Log Graders and Scalers?

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

Drone crop monitoring and precision spraying

3

Generative AI producing marketing and creative copy

4

Robotic sorting and packing of produce

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Adapting to variable weather and terrain conditions

โœ“

Managing livestock behavior and welfare

โœ“

Operating in unstructured and remote environments

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

Evaluate log characteristics and determine grades, using established criteria.

โ€ข

Record data about individual trees or load volumes into tally books or hand-held collection terminals.

โ€ข

Measure felled logs or loads of pulpwood to calculate volume, weight, dimensions, and marketable value, using measuring devices and conversion tables.

โ€ข

Paint identification marks of specified colors on logs to identify grades or species, using spray cans, or call out grades to log markers.

โ€ข

Jab logs with metal ends of scale sticks, and inspect logs to ascertain characteristics or defects such as water damage, splits, knots, broken ends, rotten areas, twists, and curves.

๐Ÿ’ป Technology Skills

โ€ข

Data base user interface and query software

โ€ข

Inventory management software

โ€ข

Customer relationship management CRM software

โ€ข

Enterprise resource planning ERP software

โ€ข

Spreadsheet software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

Mathematics

โ€ข

Customer and Personal Service

โ€ข

Administration and Management

โ€ข

Mechanical

๐Ÿ“Š vs National Average

Median Wage$47K
+$400

National avg: $46K

Risk Score69/100
+25

National avg: 44/100

GenAI Exposure67/100
+29

National avg: 38/100

Projected Growth-0.7%
-4.4%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Social Scientists and Related Workers21$93K61%
Political Scientists25$139K53%
Occupational Health and Safety Specialists and Technicians26$79K51%