ABU DHABI: The UAE has launched its largest government training program, targeting 80,000 federal employees as part of a national plan to bring artificial intelligence into government services and operations.
The program was approved during a Cabinet meeting at Qasr Al Watan in Abu Dhabi, chaired by Sheikh Mohammed bin Rashid Al Maktoum, Vice President and Prime Minister of the UAE and Ruler of Dubai.
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What the Training Program Will Cover
The new program will train federal government employees in Agentic AI tools and technologies.
Agentic AI refers to systems that can help complete tasks, support decisions, and manage steps in a process with less human prompting than basic chatbots.
The training will cover federal employees across ministries, authorities, and government entities. It will include leaders, technical workers, specialists, general staff, and trainers.
Why the UAE Is Training So Many Employees
The training is part of the UAE’s wider plan to shift 50 percent of federal government services and operations to Agentic AI models within two years.
This means AI may soon help improve how some government services are handled, from resident services to business services and general public services.
For residents, including Filipino expats, the change could later mean faster transactions, more digital service bundles, and fewer repeated steps when dealing with government platforms.
First AI Service Bundles Approved
The Cabinet also approved the first group of AI-powered government service bundles.
These are designed for:
- Citizens
- Residents
- Businesses
- Investors
- The general public
The UAE Cabinet also approved a framework that defines the role of each ministry and federal entity in carrying out the AI transformation plan.
Healthcare Also Included in AI Push
The Cabinet approved a national policy to strengthen AI use in the healthcare sector.
The policy focuses on developing a national AI-powered medical system, improving digital health infrastructure, and training healthcare workers in advanced AI skills.
This could support future improvements in medical services, although specific patient-facing changes may still be announced later.
