Gulf organisations are moving quickly to explore artificial intelligence in human resources, but almost none are ready to scale it. According to Korn Ferry's AI Adoption in Human Capital GCC 2026 report, 93% of organisations across Saudi Arabia, the UAE, Qatar, Oman, Bahrain and Kuwait are exploring, piloting or deploying AI in HR - yet only 1% consider themselves fully ready to scale AI across the enterprise.
The findings are based on a Q1 2026 survey of 105 chief human resources officers across the six GCC markets. They point to gaps in data governance, change management and cross-functional AI operating models, and they raise new questions for CHROs around workforce planning, accountability, skills, job redesign and the relationship between human employees and AI agents.
Adoption is fragmented across the GCC
While AI engagement is now widespread, adoption remains uneven. Korn Ferry found that 49% of organisations are piloting AI in selected functions, while 20% have deployed AI across multiple business areas. The rest remain at the exploration stage.
At the other end of the readiness spectrum, 30% of organisations say they are not ready to scale AI at all, while 46% describe themselves as only "somewhat ready". That leaves a wide middle ground where organisations have begun experimenting but lack the infrastructure to move further.
HR has limited influence over AI strategy
One of the report's key findings concerns who is responsible for AI strategy. Sixty per cent of GCC organisations place AI accountability with CIOs and IT leadership, while only 3% assign primary responsibility to HR leaders.
The imbalance matters because AI adoption is reshaping workforce planning, job design, skills requirements, reskilling, performance management and employee experience. For CHROs, being responsible for the workforce impact of AI does not necessarily translate into having a formal role in AI decision-making. This governance gap could make it harder for organisations to align technology investments with workforce requirements as AI moves from isolated experiments towards broader operational deployment.
Technology integration is the biggest barrier
Technology integration is the most frequently cited obstacle to scaling AI, with 61% of organisations identifying it as a challenge. Legacy HR systems, fragmented data environments and disconnected workflows make it difficult to integrate new AI applications into existing enterprise infrastructure.
Talent and skills represent another major constraint. Forty-four per cent of respondents say their organisations lack the AI-skilled talent required to operationalise their initiatives. At the same time, 42% of GCC organisations are not hiring for dedicated AI roles, suggesting a disconnect between AI ambitions and workforce investment strategies.
Uncertainty over returns is another barrier, cited by 37% of organisations. Without clear measures for evaluating AI's impact on hiring efficiency, productivity and costs, organisations may struggle to build stronger business cases for scaling AI. Despite these challenges, productivity remains the dominant objective: 81% of organisations identify productivity gains as their primary goal for AI adoption.
Employees are optimistic but worried about job security
The workforce perspective reveals a more nuanced picture. The Ipsos GCC People Pulse Q2 2026 survey, which covered 1,500 employees across the UAE, Saudi Arabia, Kuwait and Qatar, found that 73% believe AI will strengthen their organisation's competitiveness. However, around half of respondents worry about the impact of AI on their jobs.
The survey also found that 54% of employees experience constant strain at work, adding a wellbeing dimension to the region's AI transformation. For HR leaders, the findings underline the importance of transparent communication, reskilling and employee participation as organisations introduce AI into everyday work.
Autonomous AI agents could accelerate the governance challenge
The next stage of AI adoption could further test existing workforce and governance models. More than half of talent leaders across the Gulf plan to introduce autonomous AI agents into their teams during 2026, according to Korn Ferry. These agents could take on tasks including candidate sourcing, interview scheduling and initial screening with limited human intervention.
That shift moves AI beyond its role as a productivity tool and towards becoming an active component of workforce capacity and team design. It raises questions around accountability, skills, job redesign and the relationship between human employees and AI agents.
For GCC organisations, the challenge is no longer simply whether to adopt AI. The more pressing question is whether they can build the organisational foundations required to scale it responsibly. Closing the gap between the 93% engaging with AI and the 1% ready to scale will require HR to play a more central role in AI governance, alongside greater investment in AI literacy, data infrastructure, workforce reskilling and measurable business outcomes. HR professionals looking to build those capabilities can explore an AI Learning Path for CHROs or review broader AI for Human Resources courses and certifications.
Why this matters for HR professionals
The gap between AI exploration and enterprise readiness creates a specific risk for HR teams: technology decisions are being made elsewhere while HR inherits the workforce consequences. CHROs who want a seat at the AI strategy table need to build the data literacy, governance knowledge and change management skills that justify that role. The organisations that close the readiness gap will be the ones where HR can speak the language of AI investment, measure its impact on productivity and hiring, and take responsibility for the human side of the transition - not just absorb its effects.
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