BCG Study: 39% of GCC Organizations Now AI Leaders - Public Sector Emerging as Unexpected Leader

GCC AI Adoption Accelerating Rapidly

The BCG Build for the Future 2026 study reveals that 39% of GCC organizations now qualify as AI Leaders, matching the global average of 40%. This represents significant acceleration in AI adoption across the region, with marked shift from AI Laggards to AI Leaders.

Scaling Organizations Driving Growth

The most significant finding is a +14 percentage point increase in Scaling organizations (compared to +8 globally), indicating that more GCC organizations are expanding their AI initiatives from limited programs to widespread deployment. This acceleration suggests the region is moving from experimentation to execution phase.

UAE and Saudi Arabia stand out with 40-42% AI Leaders, above global peers. Qatar's trajectory is particularly promising, with growing Emerging organizations (+10 percentage points vs 2024), indicating a strong pipeline of organizations moving toward AI leadership.

Public Sector Emerging as Unexpected Leader

Perhaps the most surprising finding is that the Public Sector has jumped 5 positions since 2021 to rank second in AI maturity—outpacing global peers in a sector traditionally slow to change. This reflects ambitious cost-saving and productivity-enhancement initiatives across the region, coupled with national data and digital strategies already impacting government entities and their services.

Industry-Specific Trends

TMT (Technology, Media, Telco) maintains its lead with +6 percentage points annual growth. Industrial Goods, Travel, Infrastructure, and Healthcare are showing significant maturity gains. However, Energy and Consumer Goods are losing ground relative to other industries, with just 25% of organizations classified as AI Leaders.

Agentic AI as Future Growth Engine

Agentic AI is expected to drive future growth, with value contribution projected to increase from 17% to 29% of AI-driven value by 2028. This represents a fundamental shift in how organizations will deploy AI, moving from analytical tools to autonomous agents capable of executing complex tasks.

Performance Gap Widening

AI Leaders are delivering +2.2 percentage points higher revenue growth and +2.6 percentage points increased cost reduction compared to AI Laggards. This widening performance gap suggests that early movers in AI adoption are capturing disproportionate value.

However, underlying enablers like technology platforms, data infrastructure, operating model, and people capabilities continue to lag, constraining the ability to scale AI adoption. Closing this gap between outcome-driven capabilities and foundational enablers will be critical for sustained transformation.