The programme was announced by Sheikh Hamdan bin Mohammed bin Rashid Al Maktoum, who said Dubai aims to become a leading city in the economic and commercial adoption of these technologies. Gulf News reported that the initiative spans two years and includes specialised training tracks for all business councils affiliated with the Dubai Chamber of Commerce and Industry (Dubai Chamber), alongside incubators for Agentic AI companies and dedicated funding support (including funding government-backed enablement) to accelerate enterprise adoption among corporates.
For businesses, the significance is clear: Dubai is not only encouraging AI uptake, but also building the conditions for scale. That matters because agentic AI is not just another software upgrade in technology stacks; it requires governance, oversight, data discipline and a clear operating model before it can be deployed safely across workflows. NIST’s AI Risk Management Framework, for example, is intended for voluntary use and is designed to improve trustworthiness considerations in the design, development, use and evaluation of AI systems.
That is where structured frameworks become important. Nemko Digital’s AI Governance approach understands governance as the policies, processes and oversight mechanisms that make AI responsible and compliant — including the internal rules, controls and (where relevant) user agreement terms that govern how AI systems are used. Our AI Maturity Model assesses organisations across leadership, lifecycle management, stakeholder engagement, AI literacy, operations, risk management and compliance. The AI Management Systems service is positioned around ISO/IEC 42001 preparation, accountability and regulatory compliance.
That framework-led approach is likely to matter as Dubai businesses move from pilots to production use. The training element of the new programme suggests that workforce capability will be a key issue, not just technology procurement or deals with vendors.
Dubai’s initiative also lands in a wider policy environment where governments and standard-setters are putting more emphasis on trustworthy AI. The UAE Government continues to publish AI-related updates through its official media channels, while NIST’s AI RMF offers a practical reference point for managing AI risk. For additional context on how enterprises are approaching agentic AI integration and readiness, outlets such as Computer Weekly have also tracked the shift from experimentation to deployment. For a general definition of AI and its capabilities, readers can also refer to Britannica’s overview of artificial intelligence.
For businesses, the message is less about hype and more about execution. The companies most likely to benefit from the Dubai Agentic AI transformation programme will be those that can show readiness in governance, maturity, training and compliance. In practical terms, that means treating AI as an operating capability, not a standalone tool, and preparing internal controls before scaling deployment across customer service, operations, analytics and decision support — regardless of how external factors like elections or personal finance markets shape broader sentiment.