14,000+ companies
The September training initiative targets member companies across Dubai Chamber of Commerce Business Groups and Business Councils.
Dubai is moving beyond broad AI-awareness programmes. The current policy direction is toward Agentic AI in private-sector operations, backed by a two-year transformation programme and specialised training for more than 14,000 Dubai Chamber member companies.
Published 2026-09-19 · Source event/update: 4 May and 1 September 2026 · Reviewed by David Potgieter, Dubai
Dubai's two-year private-sector Agentic AI programme signals a shift from general AI awareness toward systems that can complete multi-step work. For SMEs, the useful interpretation is bounded automation: authorised context and tools, explicit ownership, human approval where required, and measurable acceptance tests before greater autonomy is introduced.
Evidence class: provider-documented / official public source. Primary evidence: WAM: Dubai private-sector Agentic AI initiative · Dubai Media Office: training for 14,000+ companies. Last reviewed: 19 September 2026.
In May, Dubai announced a programme aimed at transitioning the private sector toward self-executing and self-leading AI. In September, Dubai Chambers launched specialised Agentic AI training for more than 14,000 companies through Dubai Chambers Academy.
The September training initiative targets member companies across Dubai Chamber of Commerce Business Groups and Business Councils.
Dubai Chambers says the training focuses on identifying applications across operations, productivity and decision-making, not only learning AI concepts.
The programme also includes incubators, support for Agentic AI companies and knowledge-sharing initiatives intended to accelerate private-sector adoption.
For a normal SME, the useful interpretation is concrete: AI that can complete multi-step work, access authorised context and tools, and route outputs through the right approvals. The operational challenge is deciding where autonomy is useful and where human judgement must remain explicit.
Before building complex multi-agent systems, a business can first implement ChatGPT around a handful of high-value workflows with clear inputs, source systems, permissions, human approvals and acceptance tests. That creates evidence for where deeper agentic capability is actually justified.
Use the market change only where it improves a real business workflow. Keep the implementation bounded, measurable and owned.
Choose one multi-step process where an AI agent could remove real manual work.
Define which decisions require a person before the system acts or communicates externally.
Test the workflow on representative cases before adding more tools, autonomy or agents.
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iMPLEMENTAi implements ChatGPT around real company context, systems, workflows, permissions, approvals and acceptance tests for UAE small and medium businesses.