Saudi Arabia exhibits AI maturity Saudi Arabia advancement, with 40% of organizations now qualifying as AI Leaders according to a comprehensive study by Boston Consulting Group. The report reveals that Saudi organizations are successfully matching global benchmarks while demonstrating scale in AI implementation across the Kingdom’s diverse economic landscape.

The study surveyed 200 C-suite executives and assessed 41 digital and AI capabilities across seven industries. Results show that 35% of Saudi organizations have reached the critical ‘Scaling’ stage, reflecting rapid expansion beyond experimental phases toward comprehensive enterprise deployment. With an average AI maturity score of 43, the report demonstrates Saudi Arabia’s solid progress in AI sophistication.

Regional Progress in AI Adoption

Across the broader GCC region, 39% of all organizations now qualify as AI Leaders, compared to the global average of 40%. This represents a fundamental transformation in how regional businesses approach artificial intelligence. The GCC region demonstrates AI leadership, with its Public Sector achieving the highest AI maturity levels globally across all surveyed markets.

While Tech, Media and Telecom continues to lead in AI maturity within the GCC, rapid advancement is occurring in other critical sectors including Financial Institutions, Health Care, Industrial Goods, and Travel, Cities, and Infrastructure. This highlights the region’s broad-based AI transformation.

Financial Impact of AI Leadership

The financial impact of AI leadership proves substantial. AI Leaders across the GCC deliver up to 1.7 times higher total shareholder returns and 1.5 times higher EBIT margins compared to AI Laggards. This performance differential underscores the critical importance of moving beyond pilot programs toward scaled implementation.

This success is directly linked to higher AI investment levels. AI Leaders are dedicating 6.2% of their IT budgets to AI in 2025 compared to only 4.2% by Laggards. As AI budgets continue to grow, the value generated by AI Leaders is expected to be 3-5x higher by 2028, significantly widening the performance gap between Leaders and Laggards.

“Saudi Arabia’s progress in AI adoption reflects the Kingdom’s commitment to technological transformation at unprecedented scale. AI leaders in Saudi Arabia are uniquely positioned to leverage the Kingdom’s commitment to and sizable investments in building globally competitive AI infrastructures to drive substantial business impact across multiple industries simultaneously.”

Rami Mourtada, Partner & Director, Digital Transformation at Boston Consulting Group

Strategic Moves Distinguishing AI Leaders

While the GCC has demonstrated advanced digital maturity in recent years, AI maturity has surged by 8 points between 2024 and 2025, now trailing overall digital maturity by just 2 points. The study reveals that successful AI Leaders distinguish themselves through five critical strategic moves.

  • Pursuing multi-year strategic ambitions with 2.5 times more leadership engagement than laggards
  • Fundamentally reshaping business processes rather than simply deploying off-the-shelf solutions
  • Implementing AI-first operating models with robust governance frameworks
  • Securing and upskilling talent at 1.8 times the rate of competitors
  • Building fit-for-purpose technology architectures that reduce adoption challenges by 15%

Agentic AI and Future Outlook

Looking toward frontier technologies, 38% of GCC organizations are already experimenting with agentic AI, positioning the region competitively against the global average of 46%. The value generated from agentic AI initiatives, currently at 17%, is projected to double to 29% by 2028, driven by continued experimentation and strategic deployment.

Despite this strong momentum, GCC organizations continue to face barriers to AI adoption. AI Laggards are 18% more likely than AI Leaders to encounter people, organization, and process challenges stemming from limited cross-functional collaboration on AI, unclear AI value measurement, misalignment with enterprise strategy, or lack of leadership commitment.

“Saudi organizations have made meaningful progress in advancing AI, yet the ability to scale impact continues to be influenced by local challenges and constraints. The next phase of value creation will depend on multi-year strategic ambitions that address these realities head-on.”

Semyon Schetinin, Managing Director & Partner at Boston Consulting Group

The report emphasizes that sustained AI leadership requires continued focus on executive engagement, comprehensive talent development, responsible AI governance, and strategic alignment between AI initiatives and broader business objectives. As Saudi organizations continue their AI transformation journey, their ability to deploy AI at scale across sectors strengthens their capacity to translate AI adoption into meaningful value creation.