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October 2026 assessment

Occupations

Explore 20 occupations selected to illuminate different ways AI and robotics may change demand for human labor. Open each assessment to examine the evidence behind its outlook.

Why these 20 occupations?

EOL calls this deliberately selected group a sentinel panel: a group selected to represent a broad cross-section of knowledge and physical jobs, with varied technologies, tasks, skill requirements, industries, labor-supply conditions, and paths to adoption. By following these occupations closely over time, EOL can identify emerging transitions and draw insights about their wider labor-market implications without trying to track every occupation. The aim is breadth of perspective and depth of understanding, not an ever-larger list of jobs.

10Knowledge / AI
10Physical / Robotics
Occupation index

Find an occupation

Each row shows EOL’s current working outlook alongside two separate evidence judgments. Evidence Tilt summarizes the direction of the current evidence. Historical Continuity asks whether established technological and staffing relationships remain reliable enough to anchor a central forecast.

Evidence Tilt Historical Continuity 20 occupations shown
Occupation EOL 2030 EOL 2035 Evidence Tilt Historical Continuity
O01SOC 15-1252
Software Developers
Knowledge / AI
-2% to +5%-16% to +4%Moderate displacementUnlikely reliable as central assumption→
O02SOC 13-2011
Accountants & Auditors
Knowledge / AI
-1% to +3%-7% to +5%Moderate displacementIncreasingly questionable→
O03SOC 23-1011
Lawyers
Knowledge / AI
-1% to +3%-7% to +5%Moderate displacementIncreasingly questionable→
O04SOC 43-4051
Customer Service Representatives
Knowledge / AI
-5% to -2%-12% to -5%Strong displacementIncreasingly questionable→
O05SOC 41-3091
Sales Representatives of Services
Knowledge / AI
-1% to +2%-8% to +3%Moderate displacementIncreasingly questionable→
O06SOC 27-1024
Graphic Designers
Knowledge / AI
-4% to +1%-12% to 0%Moderate displacementIncreasingly questionable→
O07SOC 25-2031
Secondary School Teachers
Knowledge / AI
-1% to +2%-3% to +2%BalancedReasonable→
O08SOC 17-2141
Mechanical Engineers
Knowledge / AI
+3% to +6%+4% to +11%Moderate toward employmentReasonable→
O09SOC 29-1215
Family Medicine Physicians
Knowledge / AI
+1% to +4%+2% to +6%Moderate toward employmentReasonable→
O10SOC 43-6014
Secretaries & Administrative Assistants
Knowledge / AI
-5% to -2%-10% to -6%Strong displacementIncreasingly questionable→
O11SOC 37-2012
Maids & Housekeeping Cleaners
Physical / Robotics
-1% to +2%-8% to +1%Moderate displacementIncreasingly questionable→
O12SOC 53-7062
Freight/Stock/Material Movers, Hand
Physical / Robotics
-4% to 0%-10% to -3%Moderate displacementIncreasingly questionable→
O13SOC 53-7063
Machine Feeders and Offbearers
Physical / Robotics
-7% to -3%-16% to -11%Strong displacementReasonable→
O14SOC 53-3032
Heavy & Tractor-Trailer Truck Drivers
Physical / Robotics
-2% to +2%-10% to +2%Moderate displacementIncreasingly questionable→
O15SOC 47-2061
Construction Laborers
Physical / Robotics
+3% to +6%+3% to +8%BalancedReasonable→
O16SOC 35-3031
Waiters & Waitresses
Physical / Robotics
-2% to +1%-5% to +2%Moderate displacementIncreasingly questionable→
O17SOC 35-3023
Fast Food and Counter Workers
Physical / Robotics
-1% to +3%-8% to +2%Moderate displacementIncreasingly questionable→
O18SOC 29-1141
Registered Nurses
Physical / Robotics
+2% to +6%+2% to +9%BalancedReasonable→
O19SOC 31-1120
Home Health & Personal Care Aides
Physical / Robotics
+6% to +11%+8% to +18%Moderate displacementIncreasingly questionable→
O20SOC 33-3051
Police & Sheriff’s Patrol Officers
Physical / Robotics
0% to +3%0% to +4%Moderate displacementIncreasingly questionable→
O01 · SOC 15-1252 · Knowledge / AI
Software Developers
→
EOL 2030-2% to +5%
EOL 2035-16% to +4%
Evidence TiltModerate evidence tilt toward displacement
Historical ContinuityUnlikely reliable as central assumption
O02 · SOC 13-2011 · Knowledge / AI
Accountants & Auditors
→
EOL 2030-1% to +3%
EOL 2035-7% to +5%
Evidence TiltModerate evidence tilt toward displacement
Historical ContinuityIncreasingly questionable
O03 · SOC 23-1011 · Knowledge / AI
Lawyers
→
EOL 2030-1% to +3%
EOL 2035-7% to +5%
Evidence TiltModerate evidence tilt toward displacement
Historical ContinuityIncreasingly questionable
O04 · SOC 43-4051 · Knowledge / AI
Customer Service Representatives
→
EOL 2030-5% to -2%
EOL 2035-12% to -5%
Evidence TiltStrong evidence tilt toward displacement
Historical ContinuityIncreasingly questionable
O05 · SOC 41-3091 · Knowledge / AI
Sales Representatives of Services
→
EOL 2030-1% to +2%
EOL 2035-8% to +3%
Evidence TiltModerate evidence tilt toward displacement
Historical ContinuityIncreasingly questionable
O06 · SOC 27-1024 · Knowledge / AI
Graphic Designers
→
EOL 2030-4% to +1%
EOL 2035-12% to 0%
Evidence TiltModerate evidence tilt toward displacement
Historical ContinuityIncreasingly questionable
O07 · SOC 25-2031 · Knowledge / AI
Secondary School Teachers
→
EOL 2030-1% to +2%
EOL 2035-3% to +2%
Evidence TiltBalanced evidence
Historical ContinuityReasonable
O08 · SOC 17-2141 · Knowledge / AI
Mechanical Engineers
→
EOL 2030+3% to +6%
EOL 2035+4% to +11%
Evidence TiltModerate evidence tilt toward employment
Historical ContinuityReasonable
O09 · SOC 29-1215 · Knowledge / AI
Family Medicine Physicians
→
EOL 2030+1% to +4%
EOL 2035+2% to +6%
Evidence TiltModerate evidence tilt toward employment
Historical ContinuityReasonable
O10 · SOC 43-6014 · Knowledge / AI
Secretaries & Administrative Assistants
→
EOL 2030-5% to -2%
EOL 2035-10% to -6%
Evidence TiltStrong evidence tilt toward displacement
Historical ContinuityIncreasingly questionable
O11 · SOC 37-2012 · Physical / Robotics
Maids & Housekeeping Cleaners
→
EOL 2030-1% to +2%
EOL 2035-8% to +1%
Evidence TiltModerate evidence tilt toward displacement
Historical ContinuityIncreasingly questionable
O12 · SOC 53-7062 · Physical / Robotics
Freight/Stock/Material Movers, Hand
→
EOL 2030-4% to 0%
EOL 2035-10% to -3%
Evidence TiltModerate evidence tilt toward displacement
Historical ContinuityIncreasingly questionable
O13 · SOC 53-7063 · Physical / Robotics
Machine Feeders and Offbearers
→
EOL 2030-7% to -3%
EOL 2035-16% to -11%
Evidence TiltStrong evidence tilt toward displacement
Historical ContinuityReasonable
O14 · SOC 53-3032 · Physical / Robotics
Heavy & Tractor-Trailer Truck Drivers
→
EOL 2030-2% to +2%
EOL 2035-10% to +2%
Evidence TiltModerate evidence tilt toward displacement
Historical ContinuityIncreasingly questionable
O15 · SOC 47-2061 · Physical / Robotics
Construction Laborers
→
EOL 2030+3% to +6%
EOL 2035+3% to +8%
Evidence TiltBalanced evidence
Historical ContinuityReasonable
O16 · SOC 35-3031 · Physical / Robotics
Waiters & Waitresses
→
EOL 2030-2% to +1%
EOL 2035-5% to +2%
Evidence TiltModerate evidence tilt toward displacement
Historical ContinuityIncreasingly questionable
O17 · SOC 35-3023 · Physical / Robotics
Fast Food and Counter Workers
→
EOL 2030-1% to +3%
EOL 2035-8% to +2%
Evidence TiltModerate evidence tilt toward displacement
Historical ContinuityIncreasingly questionable
O18 · SOC 29-1141 · Physical / Robotics
Registered Nurses
→
EOL 2030+2% to +6%
EOL 2035+2% to +9%
Evidence TiltBalanced evidence
Historical ContinuityReasonable
O19 · SOC 31-1120 · Physical / Robotics
Home Health & Personal Care Aides
→
EOL 2030+6% to +11%
EOL 2035+8% to +18%
Evidence TiltModerate evidence tilt toward displacement
Historical ContinuityIncreasingly questionable
O20 · SOC 33-3051 · Physical / Robotics
Police & Sheriff’s Patrol Officers
→
EOL 20300% to +3%
EOL 20350% to +4%
Evidence TiltModerate evidence tilt toward displacement
Historical ContinuityIncreasingly questionable
No occupations match the current filters.

Evidence Tilt is directional

It summarizes whether the current body of evidence pushes the assessment toward greater displacement or remains broadly balanced. It is not a probability or automation score. Methodology →

Historical Continuity tests the baseline

It asks whether the technological and labor relationships embedded in conventional historical projections still appear reliable enough to serve as a central forecast assumption. Methodology →