AI in the UAE: Strategy, Governance, and What Comes Next

Artificial Intelligence is no longer an emerging technology. It is central to how organizations operate, innovate, and compete globally. The UAE has long recognized this reality. By establishing the world’s first Minister of State for Artificial Intelligence in 2017, developing its National AI Strategy, and building a governance-first framework, the country positioned itself as a global early adopter and regulator-friendly sandbox.

Today, AI adoption in the UAE is accelerating, with 64% of the working-age population using AI tools by the end of 2025. This momentum is reflected in market growth as well; the UAE’s AI market is projected to surpass $45 billion by 2030, driven by the National AI Strategy 2031 and the expansion of advanced innovation ecosystems.

The Foundation: UAE Strategy for Artificial Intelligence 

A key milestone in this journey was the launch of the UAE Strategy for Artificial Intelligence in October 2017. This strategy marked the transition toward a post-mobile government model powered by advanced digital systems and aligns closely with the UAE Centennial 2071 vision.

Its objectives are both ambitious and practical: improving government performance, creating new high-value economic sectors, and positioning the UAE as a global leader in AI investment. The strategy targets key sectors such as healthcare, transport, renewable energy, education, and water management, where AI is expected to reduce costs, improve efficiency, and enable smarter decision-making.

Scaling AI: Infrastructure and Investment 

Beyond strategy, the UAE is actively building the infrastructure needed to sustain long-term AI growth. This includes investments in advanced computing, data ecosystems, and global partnerships. Data centers, in particular, have become a cornerstone of this effort, with UAE capacity projected to grow by 165 % by 2028 and planned investments exceeding $46 billion, reflecting the strategic importance of scalable, resilient facilities for powering AI workloads and digital services.

One notable example is the development of large-scale AI infrastructure in Abu Dhabi, including the planned Stargate UAE cluster. This project is expected to reach 1GW capacity, with an initial 200MW phase anticipated to go live around 2026. While still under development, it reflects the country’s ambition to become a global AI hub not just in adoption, but in innovation and production.

AI Governance: A Multi-Layered Approach 

On the governance side, the UAE does not yet have a single, comprehensive AI law. Instead, AI governance is shaped by a combination of federal laws, sector-specific regulations, and emirate-level frameworks.

This evolving framework is supported by national guidance, such as the 2024 UAE Charter, which sets out 12 priorities and key components for the responsible use of AI. Among the most critical are safety, transparency, human oversight, governance and accountability, data privacy, and addressing algorithmic bias. Together, these priorities aim to ensure that AI systems are trustworthy, inclusive, and aligned with human values.

From Principles to Practice: The Role of International Standards 

Meeting these regulatory expectations requires more than policies or high-level principles. It demands an operational framework that embeds AI governance into everyday business practices.

This is where international standards such as ISO/IEC 42001 play a key role. As a management system standard, ISO/IEC 42001 acts as a governance enabler, helping organizations build structured AI management systems that support risk management, accountability, and continuous improvement. In doing so, it strengthens their ability to align with evolving regulatory expectations.

For organizations in the UAE, AI is more than a technology investment; it is a strategic capability that must be governed responsibly. Success depends on skilled professionals who can implement robust governance frameworks, embed AI oversight into daily operations, and manage risk effectively. By leveraging international standards such as ISO/IEC 42001, organizations can align their practices with national priorities—including the UAE Strategy for Artificial Intelligence, the UAE Centennial 2071, and the 2024 UAE Charter—ensuring that regulatory objectives translate into operational excellence. Building this expertise turns policy into practice, transforming principles into measurable outcomes while positioning organizations as leaders in responsible AI adoption.

PECB Training Opportunities 

PECB offers a full range of training courses to help professionals build the expertise needed to implement, manage, and audit AI governance frameworks.

• ISO/IEC 42001 Foundation Training Course – Ideal for professionals seeking a clear understanding of AI management system fundamentals and governance principles.
• ISO/IEC 42001 Lead Implementer Training Course – Designed for practitioners responsible for implementing and managing AI governance frameworks within organizations.
• ISO/IEC 42001 Lead Auditor Training Course – Suitable for auditors and compliance professionals who need to assess AI management systems against ISO/IEC 42001 requirements.

• Certified Artificial Intelligence Manager Training Course – for leaders overseeing AI strategy, deployment, and organizational alignment.
• Lead AI Risk Manager Training Course – for professionals focused on identifying, assessing, and mitigating AI-related risks.
• Certified Artificial Intelligence Auditor (CAIA) Training Course (Upcoming) – Designed for auditors and assurance professionals who need to evaluate AI systems, governance frameworks, and risk controls against established standards and regulatory expectations.

Lead AI responsibly. Comply globally. Stay ahead.