RESEARCH BRIEF · TECHNOLOGY & AI

The Automation Threshold

Which Moroccan Professions Face the Greatest Disruption?

A quantitative analysis of occupational vulnerability to AI-driven automation across Morocco's labour market — sector by sector, region by region.

Essential reading for policymakers, education planners, workforce strategists and business leaders.

Key Findings

The future of work in Morocco is being reshaped by artificial intelligence.

38%

of current tasks potentially automatable by 2035

12

major sectors assessed

2035

national workforce horizon

What This Study Examines

This report evaluates the exposure of Moroccan occupations to AI-driven automation, identifying which jobs are most vulnerable, which sectors are likely to transform, and where new opportunities may emerge.

✓ Occupation-level automation scoring
✓ Regional labour market comparisons
✓ Sector-specific disruption forecasts
✓ Workforce transition scenarios
✓ Education and reskilling implications

Included Analysis

Finance & Banking

Customer Service

Public Administration

Education

Manufacturing

Healthcare

Most Exposed Occupations

Administrative Support

High automation exposure

Accounting & Data Entry

Significant AI substitution risk

Customer Service

Rapid AI augmentation expected

Engineering & AI

Growing demand and resilience

“The question is no longer whether AI will reshape Morocco's workforce, but how quickly institutions can prepare workers for the transition.”

MOROCCO 2035 FORESIGHT SERIES

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Discover the occupations, regions and sectors most likely to experience AI-driven disruption — and the policy actions needed to prepare Morocco's workforce for 2035.

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The Automation Threshold

Key Findings

38%

12

2035