Artificial intelligence use expands in the Gulf, but confidence lags behind training
In many Gulf workplaces, the question is no longer whether an employee uses artificial intelligence, but whether they know when to trust its result and how to turn it into better work. A new study presented in Dubai quantifies this gap with two adjacent figures: 82 percent of surveyed professionals use AI tools daily or weekly, but only 39 percent say their confidence in using them is high or very high.
This is not a small technical gap. It is the difference between having the tool in the browser and being able to define the problem, review the output, and protect data while using it. The study reported by Gulf Times surveyed 1,143 professionals in consumer economies across the Gulf Cooperation Council states and was conducted in March 2026. Most participants were from the UAE and Saudi Arabia, while samples from smaller markets were limited, so it should not be treated as a precise national benchmark for each country.
Gap between usage and proficiency:The study says 73 percent of regular users see productivity improvements, and 35 percent of respondents saved at least four hours per week. These are useful indicators, but they alone do not tell us whether the skill is transferable from one task to another. An employee may succeed in summarizing a report, then stumble when testing information accuracy or when selecting what should not be sent to an external tool.
Training emerges as a differentiating factor:53 percent said their institutions encourage the use of artificial intelligence, but only 20 percent received intensive training. Those who received this training were 2.5 times more likely to report high confidence, and twice as likely to report saving four or more hours per week. The practical meaning is not limited to a general tools course. Training linked to a known problem in customer service, procurement53 percent said their institutions encourage the use of artificial intelligence, but only 20 percent received intensive training. Those who received this training were 2.5 times more likely to report high confidence, and twice as likely to report saving four or more hours per week. The practical meaning is not limited to a general tools course. Training linked to a known problem in customer service, procurement, or financial analysis makes the practice measurable and reviewable.
From participation to changing work:The report noted a parallel discussion of the findings that an institution offered learning content and achieved high engagement, but it did not see a meaningful impact on daily work at first. Change began when employees were asked to think about specific problems that AI could help them solve, rather than simply learning the tool. This is an important practical cue: effective training concludes with a task that can be tested, not just a certificate of attendance.
Trust is not a blind delegation:Data security was the most frequently cited obstacle, chosen by 36 percent of participants. Therefore, the employee needs to learn the limits as much as they need to learn the commands: which data may be used, when an answer must be verified, and who has the final approval decision. This is a professional skill also required in non-technical roles, because it determines whether the speed provided by the tool is safe and defensible.
Note for the job seeker:It is useful for a researcher to prepare specific examples of work they completed with the assistance of artificial intelligence and then review them independently. A single documented example that explains the problem, the tool, the verification method, and the outcome is stronger than a generic statement about mastering artificial intelligence. For companies, the metric worth tracking is not the number of licenses distributed, but whether employees can use the tool confidently within clear guidelines.
The study adds that AI adoption was three times higher in organizations whose leaders actively use it. Here the responsibility of management becomes clear: encouraging experimentation from a distance is not enough, nor is assuming that access to the tool equals readiness. The Gulf labor market now adds a new layer to practical experience, namely the ability to use AI by professional judgement, knowing when it speeds up work and when a human must intervene to verify.