AI Workforce Readiness in the GCC

A Strategic Research Study on AI Literacy, Usage Patterns, and Training Needs Across the GCC

 

Overview

AI is becoming part of everyday work across the GCC. But while employees are increasingly using AI, many organizations are still developing the training, policies, and governance needed to support effective and responsible adoption.

Knowledge Group’s latest research explores AI usage, workforce readiness, learning preferences, and the key challenges organizations need to address as AI becomes more integrated into the workplace.

The study analyzed responses from 701 GCC professionals across different industries and organizational roles. The findings provide an indicative view of AI workforce readiness across the region and are not nationally representative.

 

Key Insights

• 55.9% use AI daily
• 80.2% use AI at least weekly
• 67.5% learned to use AI through self-directed learning
• 35.2% report that their organization has no clear AI policy
• 88.9% are confident they can learn AI with the right training
• 55.9% see career advancement as a key motivation for learning AI

 

AI Adoption Is Already Mainstream

AI use is no longer limited to specialist teams. Most respondents reported using AI regularly in their work, with more than half using it every day.The challenge is shifting from encouraging adoption to building the skills, structures, and governance needed to use AI effectively.

 

The Training Gap

Most employees are learning AI independently. 67.5% reported being self taught, while only around 24% received training from their organization.
This highlights an opportunity for organizations to provide more structured and practical AI learning.

 

Governance Has Not Kept Pace

More than a third of respondents said their organization has no clear AI policy, while others were unsure whether one exists.
Employees also identified key risks including over reliance on AI, biased or incorrect information, and privacy and security concerns.

 

Employees Are Ready to Learn

The research shows strong demand for AI learning. 88.9% of respondents believe they can develop their AI skills with appropriate training.
Short, practical learning formats are particularly preferred, including 5 to 10 minute video tutorials and 15 minute daily learning modules.

 

What Motivates AI Learning?

Career advancement is the leading motivation, with 55.9% of respondents selecting it as a key driver.
This suggests that AI learning is increasingly viewed as part of career development rather than simply a compliance requirement.

 

What Organizations Should Prioritize

The research identifies several priorities for GCC organizations:

• Build structured AI literacy programs
• Establish clear AI usage policies
• Connect AI skills to career development
• Develop role specific AI learning
• Strengthen critical evaluation and human oversight
• Use short, practical learning formats
• Assess current levels of AI usage and readiness

 

AI Readiness Maturity Model

The research presents five stages of AI readiness:

AI Aware → AI Adoption → AI Enabled → AI Integrated → AI Transformative

The model provides a framework for organizations to understand their current position and identify areas for development.

 

Research Methodology

The study used a structured online survey covering AI awareness, workplace usage, learning preferences, and future perspectives.
A total of 1,206 responses were received, with 750 completed responses and 701 GCC professionals included in the final analysis. The research combines quantitative findings with thematic analysis of open-ended responses and relevant secondary research.

 

How Knowledge Group Can Help

Knowledge Group can support organizations across the AI readiness journey through:

Diagnose
Assess AI readiness across roles, functions, and countries.

Design
Develop role specific AI learning and governance frameworks.

Develop
Create practical microlearning and AI literacy programs.

Deploy
Activate AI champions, manager enablement, and AI policies.

Measure
Track usage, behavior change, and business impact.

 

Conclusion

AI adoption is already underway across the GCC. The next step is building the organizational capability to use AI effectively, responsibly, and consistently.

Structured AI learning, clear governance, practical application, and stronger links between AI skills and career development will be key to building an AI ready workforce.