AI adoption in Gulf companies faces significant obstacles, not because of flawed technology, but due to hesitation among corporate leaders. Although executives in the region often pitch fully functional AI prototypes, boardrooms remain cautious. Fear of risk, audit exposure, and uncertainty about outcomes contribute to delays and stalled innovation.
Leadership Hesitation and “Pilot Purity”
A major issue is the phenomenon of “pilot purgatory,” where companies run AI trials but never scale them. A 2025 McKinsey study revealed that while almost all companies are investing in AI, only 1% consider themselves truly AI mature. This delay is largely due to leadership hesitation and a lack of risk readiness.
Yousef Khalili, Global Chief Transformation Officer at AI solutions company Quant, explains that the failure isn’t due to technology. It’s a result of boardrooms being scared, teams being confused, and a lack of consensus on success. Khalili believes that the core problem is organizational culture. Many leaders view AI as experimental, not as a strategic enabler. In hierarchical corporate structures, admitting knowledge gaps becomes threatening, leading to rejection or delays, even when the tools work.
The Role of Organizational Culture in AI Transformation
Corporate culture plays a major role in AI’s failure to scale. Leaders are often afraid that AI will disrupt existing practices and expose inefficiencies. Khalili suggests reframing AI not as a replacement for human judgment, but as a tool that enhances it. For AI to thrive, it must be integrated within leadership structures. Transformation should be driven by the top, with CEOs and board members taking charge, not just IT departments or consultants.
In the Gulf, national AI ambitions are advancing rapidly, but the private sector adoption is slow. Khalili emphasizes the need to position AI as an enabler of leadership, offering decision-makers better insights and future-readiness, rather than as a cost-cutting or automation tool.
Essential Leadership Traits for Navigating AI Transformation
To successfully navigate AI transformation, Khalili identifies three key leadership traits: empathy, inclusivity, and education. Many employees fear replacement, while managers worry about becoming obsolete. Without reassurance from leadership, these fears can turn into resistance.
Leaders need to create a sense of inclusion, making employees feel part of the AI journey. AI should be viewed as a complementary tool rather than a replacement, which can help overcome internal resistance and allow AI projects to scale beyond the pilot stage.
The Critical Role of the Boardroom in Scaling AI
AI adoption fails when boards treat it as just a fleeting tech trend rather than a strategic initiative. Khalili warns that failing to engage boards in AI efforts means companies remain stuck in fragmented, small-scale projects. For AI to reach its potential, boards must see it as a long-term governance issue and push for its adoption. Boards should act as stewards of innovation, pushing AI forward instead of holding it back.
Redefining AI Success Metrics
Instead of focusing solely on financial returns, Khalili urges companies to track broader indicators like adoption rates, decision-making speed, employee engagement, and accuracy improvements. These “early indicators” offer a clearer understanding of AI’s effectiveness than short-term profits.
He advocates using a balanced scorecard approach, measuring AI’s success in terms of long-term value, such as improved decision-making and speed. This ensures AI is treated as infrastructure—an essential investment for the future—rather than a cost-saving tactic.
Saudi Arabia’s Advantage in AI Adoption
Khalili believes Saudi Arabia has a unique advantage in AI adoption due to its Vision 2030 initiative. The country has already made AI a strategic priority, with investments in talent, regulation, and infrastructure. Unlike other regions, where policy lags behind innovation, Saudi Arabia’s top-down commitment accelerates progress.
However, private companies must align with this vision to match government ambition. Saudi private firms must embrace a mindset of experimentation and risk-taking to match government ambitions and lead in AI adoption.
Overcoming Cultural Barriers to AI Success
Ultimately, Khalili argues that the biggest obstacle to AI success in the Gulf is cultural. Organizations must prioritize AI literacy, foster inclusive leadership, and redefine success metrics. Only by addressing these cultural barriers can Gulf companies unlock AI’s full potential.
“Think of AI as a fundamental capability, not a peripheral one,” Khalili concludes. “Without addressing the organizational culture first, no AI pilots can deliver enterprise-wide value.”
