AI at work training UAE: what to do when AI adds to the workload
Zeta42 · 2 November 2026
Khaleej Times asks whether AI is easing UAE work or adding to it. What HR leaders said, and what it means for choosing AI training.
When a company chooses AI at work training UAE staff will benefit from, the first question is what happens to the workload. Khaleej Times asked on 2 November 2026 whether AI is making work easier for UAE employees or giving them more to do. It cites the Korn Ferry UAE Workforce Report 2026, which draws on the views of 500 professionals in the country: 70 per cent of employees say their workload has grown significantly over the past two years.
What the HR leaders told Khaleej Times
The article gathers views from HR and people leaders, and they agree on one point. Time saved by AI has to go somewhere deliberate. Nageeba Suleman Aboobacker, senior manager for People and Culture at Hotpack, said AI can make work easier by handling repetitive, time-consuming tasks, but "time saved should not automatically mean additional responsibilities." She added that regular feedback helps HR see whether technology is reducing pressure or adding to it.
Shabeel Ummer, head of HR at V Group International, said companies must rethink daily expectations. In his words, "A good day is judged by the value created, not the number of tasks completed." V Group uses AI for drafting, analysis and report preparation, and the article says first-level customer queries that once took hours can now be completed in minutes.
The subhead of the article puts the recommendation plainly: HR teams should work with business leaders to review workloads, set realistic expectations, and prioritise work quality over output.
AI at work training UAE employers should ask for
Training that only shows people which buttons to press leaves the workload question to chance. A programme that starts from the team's own work gives managers something concrete to review: which tasks AI now handles, which stay with the person, and what the freed hours are for.
At Zeta42, our corporate AI training for departments runs as cohorts of four to six weeks, built around the team's own tools and files, on the client's premises or in Abu Dhabi. The "AI at Work" track ends with a working change to a real process, so the team leaves with a specific piece of work done differently. For leaders who want to settle expectations first, an executive AI briefing can run from one day.
Questions to settle before training starts
The article points to a short list that a company can answer before it signs anything.
- Which tasks will AI take over in this team, and who agrees that list with the manager?
- What will the saved time go to: better work, learning, customer care, or more targets? Mr Ummer's answer was the first three.
- How will HR find out whether pressure has fallen? Ms Aboobacker pointed to regular feedback from employees.
- Is the team measured on the quality of what it produces, or on the number of tasks completed?
None of these needs new software. They need HR and business leaders to sit down with a team and review its workload, which is the step the Khaleej Times piece recommends. Training can then teach the skills against that agreement, and the end-of-course process change gives both sides something to check.
For a UAE employer, the practical step is to pick one department, agree what AI should take off its plate, and run the training on that department's real work. Our AI training programmes start from that brief.
Common questions
- What should AI at work training cover?
- It should start from the team's own tools and files and end with a working change to a real process. Zeta42's "AI at Work" track is built that way.
- How long does AI training for a department take?
- Zeta42 department cohorts run for four to six weeks, on the client's premises or in Abu Dhabi. An executive AI briefing can run from one day.
- Who should check whether AI is easing or adding to workloads?
- The Khaleej Times article says HR teams should work with business leaders to review workloads, set realistic expectations and prioritise work quality over output.
Source: khaleejtimes.com