The GCC is leading global workplace AI adoption, with 93 percent of frontline employees and 95 percent of managers and leaders using AI several times a week, according to Boston Consulting Group’s fourth annual AI at Work report.
The report, titled “Strategy Matters More than Tools,” draws on data from the UAE, Saudi Arabia, Kuwait and Qatar and highlights the region’s rapid adoption of AI, while pointing to organizational changes needed to turn adoption into sustained business value.
The GCC’s adoption rates exceed the global average of 74 percent among frontline workers, positioning the region alongside India as a leader in AI integration.
The report found that 58 percent of frontline employees and 67 percent of managers and leaders in the GCC save at least eight hours a week through AI tools.
AI reshapes workplace skills
AI is also changing the nature of work across the region. Some 85 percent of frontline employees and 92 percent of managers and leaders said AI has fundamentally changed the skills expected of them in their roles.
AI adoption is also associated with higher workplace satisfaction. Among GCC respondents, 69 percent of frontline employees and 77 percent of managers and leaders said they experienced greater joy at work since adopting AI technologies.
“Compared to other organisations in their cohort, GCC organisations that lead with AI have leaders personally invested in building their teams’ AI fluency,” said Robert Xu, managing director and partner at BCG X.
He said that investment was resulting in productivity gains and helping turn technological advantages into a competitive edge.
AI agents and job concerns
Across the GCC, 60 percent of frontline employees and 66 percent of managers and leaders believe AI agents could perform at least half of their current job responsibilities within the next three years.
Despite the enthusiasm, concerns about job displacement remain relatively measured. Only 28 percent of frontline employees and 29 percent of managers and leaders said they feared losing their positions to AI.
The report said organizations need appropriate core operating models and governance structures to convert individual productivity gains from AI into organization-wide benefits.
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