Independent labor-market research · October 2026

Evaluating the Changing Demand for Human Labor

EOL Labor Analytics follows 20 deliberately selected occupations to examine how AI, robotics, and automation move from technological capability to real labor-market effects. It translates that evidence into working outlooks for 2030 and 2035.

20Occupations tracked

6Stage analytical method

2030 · 2035Working outlooks

October 2026Current assessment

New research layer · October 2026

Tech Transition Frontiers | Accelerator Scenarios Lab

What could make AI and robotics progress much faster than expected? The Scenario Lab follows five promising lines of development, the barriers that still stand in their way, and the real-world results that might signal a turning point. It looks ahead without changing EOL's current employment forecasts.

Five pathways · Two convergence watchesExplore the Scenario Lab

October 2026 assessment

The outlook varies sharply across occupations.

EOL working ranges are shown relative to the 2025 employment baseline. Switch between 2030 and 2035; Bureau of Labor Statistics (BLS) structural projections appear as gold markers in the 2035 view.

Panel composition20 occupations

Knowledge / AI 10Physical / Robotics 10

Evidence Tilt20 occupations

Strong displacement 3Moderate displacement 12Balanced 3Moderate toward employment 2

Historical-Continuity Test20 occupations

Unlikely reliable 1Increasingly questionable 13Reasonable 6

Companion publication

Ideas, interpretation, and the latest signals.

The website remains EOL's analytical system of record. The Substack provides a more conversational interpretive layer.

Latest Interpretation

Telltale Signals | October 2026

A review of the month’s most interesting AI and robotics developments.

Why EOL exists

When the Gauges Stop Working

Introducing EOL Labor Analytics, a new way to track how AI and robotics are changing the demand for human labor | endoflabor.org

What this project means

What’s in a Name?

A provocative title for a transition we should be preparing for now.

Questions, corrections, or comments on the analysis? The best way to reach EOL Labor Analytics is through our Substack, The End of Labor and the Last Worker.

Occupation

−20%0%+20%

EOL working range

O0115-1252

Software Developers Moderate evidence tilt toward displacement

-2% to +5% -16% to +4% BLS +10.2%

O0213-2011

Accountants & Auditors Moderate evidence tilt toward displacement

-1% to +3% -7% to +5% BLS +5.0%

O0323-1011

Lawyers Moderate evidence tilt toward displacement

-1% to +3% -7% to +5% BLS +4.7%

O0443-4051

Customer Service Representatives Strong evidence tilt toward displacement

-5% to -2% -12% to -5% BLS −5.3%

O0541-3091

Sales Representatives of Services Moderate evidence tilt toward displacement

-1% to +2% -8% to +3% BLS +2.7%

O0627-1024

Graphic Designers Moderate evidence tilt toward displacement

-4% to +1% -12% to 0% BLS −1.7%

O0725-2031

Secondary School Teachers Balanced evidence

-1% to +2% -3% to +2% BLS −0.2%

O0817-2141

Mechanical Engineers Moderate evidence tilt toward employment

+3% to +6% +4% to +11% BLS +11.2%

O0929-1215

Family Medicine Physicians Moderate evidence tilt toward employment

+1% to +4% +2% to +6% BLS +3.3%

O1043-6014

Secretaries & Administrative Assistants Strong evidence tilt toward displacement

-5% to -2% -10% to -6% BLS −6.0%

O1137-2012

Maids & Housekeeping Cleaners Moderate evidence tilt toward displacement

-1% to +2% -8% to +1% BLS +0.6%

O1253-7062

Freight/Stock/Material Movers, Hand Moderate evidence tilt toward displacement

-4% to 0% -10% to -3% BLS +1.8%

O1353-7063

Machine Feeders and Offbearers Strong evidence tilt toward displacement

-7% to -3% -16% to -11% BLS −13.1%

O1453-3032

Heavy & Tractor-Trailer Truck Drivers Moderate evidence tilt toward displacement

-2% to +2% -10% to +2% BLS +3.8%

O1547-2061

Construction Laborers Balanced evidence

+3% to +6% +3% to +8% BLS +7.3%

O1635-3031

Waiters & Waitresses Moderate evidence tilt toward displacement

-2% to +1% -5% to +2% BLS +2.0%

O1735-3023

Fast Food and Counter Workers Moderate evidence tilt toward displacement

-1% to +3% -8% to +2% BLS +5.8%

O1829-1141

Registered Nurses Balanced evidence

+2% to +6% +2% to +9% BLS +5.6%

O1931-1120

Home Health & Personal Care Aides Moderate evidence tilt toward displacement

+6% to +11% +8% to +18% BLS +18.1%

O2033-3051

Police & Sheriff’s Patrol Officers Moderate evidence tilt toward displacement

0% to +3% 0% to +4% BLS +3.5%

The EOL analytical system

From a constant flow of evidence to a defensible employment path.

EOL does not treat technological exposure as displacement. Evidence is evaluated through the same six-stage instrument panel for every occupation, then tested for whether it materially changes the employment outlook.

The EOL Instrument PanelSix stages · a broader picture

Six-stage assessmentTechnology → diffusion → work → labor market

1Capability

What the technology can do

2Economic Viability

Whether deployment makes economic sense

3Adoption

How quickly and widely it is being used

4Task Subsumption

How much of the work can be absorbed

5Human Labor Dependency

How dependent output remains on human labor

6Labor-Market Effects

Early signs in labor-market data

Evidence TiltDirection of the accumulated evidence

DisplacementBalancedAugmentation

Historical ContinuityHow reliable historical relationships remain

ReasonableIncreasingly questionableUnlikely reliable

The record becomes a feedback loop.Keep watching. New evidence can strengthen, weaken, or change the pace at any stage.

Explore the six-stage methodology →See the full Signal Tracker system →

One analytical system. Methodology explains the framework; Signal Tracker shows it operating over time.

Signal Tracker

Finding Signals in the Noise

Signal Tracker is the longitudinal record of this system: what evidence changed, how the six-stage assessment responded, and whether the Forecast-Relevance Gate held the forecast or triggered a re-estimation.

More signals. Fewer forecast changes.

Across the reconstructed quarterly record, EOL registered 88 meaningful assessment updates. Only 23 changed an employment endpoint. The objective is not more forecast movement. It is better signal detection.

Explore the full Signal Tracker →

88assessment updates

→

23forecast changes

→

73.9%updates absorbed without endpoint movement

How to read the forecasts

Three reference points, different roles.

EOL uses BLS as the structural reference, external probabilistic forecasts where a defensible occupational match exists, and its own six-stage assessment to form the working outlook.

Structural reference

BLS

Official 2025–35 occupational projections and underlying demand structure.

Independent calibration

Metaculus

Probabilistic forecasts where EOL can establish a sufficiently strong occupational match.

EOL working outlook

EOL

Working ranges formed from six-stage transition evidence, underlying demand, and observed labor-market effects.

These are comparison points, not inputs mechanically averaged together. Labor supply is assessed separately to show whether entrant flows may reinforce, cushion, or conflict with the demand trajectory.

Why EOL forecasts alongside BLS →How EOL analyzes supply →