UAE Companies Rely on AI for Major Decisions Ranging from Budgets to Layoffs

Recent research conducted by technology services provider Endava reveals a remarkable level of trust in artificial intelligence (AI) among business leaders and executives in the UAE. The results indicate a significant shift in how AI is perceived, moving beyond routine tasks to play critical roles in decision-making processes that affect employees’ careers and financial situations.

An impressive 79% of decision-makers in the UAE now rely on AI for budget allocation within their organizations, which can have direct implications for individual salaries. This same percentage also trusts AI to handle talent management aspects, including hiring, performance assessments, and redundancy planning. Furthermore, 80% of those surveyed are comfortable with AI managing essential health and safety operations in their companies.

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This change reflects a significant cultural shift, highlighting a new perspective where AI is recognized not just as an automated tool but as a credible decision-making partner in high-stakes environments.

AI in Personal Life: Beyond the Workplace

Interestingly, the trust in AI extends beyond professional settings. According to Endava’s findings, 80% of respondents indicated they would be willing to allow fully automated systems to guide personal career decisions, including advice on promotions, salary trajectories, and role changes.

Similarly, 80% expressed confidence in AI for personal financial planning, covering areas such as investment strategies and retirement preparations. This trend even spans to health advice, areas traditionally managed by human experts.

David Boast, General Manager for UAE and KSA at Endava, suggests that this trend reflects more than just enthusiasm for technology. “Trust is fundamental to any AI initiative,” he stated. “The UAE’s clear national strategy, combined with a young and tech-savvy populace and a focus on digital solutions, presents businesses with a distinctive opportunity to innovate with assurance.”

While many regions remain hesitant due to fears surrounding job displacement and ethical concerns regarding AI, businesses in the UAE appear primed for a proactive approach, supported by a workforce that is not only receptive to AI but also keen to welcome it.

Creating Emotionally Intelligent AI

As confidence in AI grows, experts suggest that enhancing emotional intelligence in AI systems is the next critical step, particularly for handling sensitive or high-stress circumstances.

“Ultimately, fostering trust in AI involves integrating it into existing frameworks to enhance the consumer experience without overpowering it,” said Jessica Constantinidis, Innovation Officer for EMEA at ServiceNow. “By embedding AI into service structures in a subtle yet impactful manner, companies in the UAE can offer emotionally aware experiences that fulfill high expectations while maintaining efficiency.”

Despite the growing trust in AI technologies, many customers still desire personal interaction. A separate study from ServiceNow shows that 68% of UAE consumers would rather converse with a human over technology, valuing the empathy and subtlety that human professionals can provide, especially in emotionally charged situations such as financial disputes or service failures.

The Hybrid Approach: Combining AI with Human Touch

The research emphasizes that while consumers appreciate efficient and quick service, they also seek reassurance. A significant 85% of those surveyed in the UAE prefer self-service solutions; however, their confidence in AI diminishes when faced with emotionally complex issues.

“The solution lies in adopting a hybrid model,” Constantinidis clarified. “AI should not operate as an isolated system, but rather as a part of a broader support network. While automation can provide speed for routine tasks, it is essential to create intelligent pathways for human assistance in high-stress situations.”

For instance, AI technology should be capable of recognizing signs of distress through both language and behavioral cues, such as repeated requests or long resolution times. If a customer remains unresolved after two interactions, the system should smoothly transfer the case to a human agent.

“This should not be viewed as a failure of AI but as intelligent design,” Constantinidis remarked. “Companies often hastily integrate AI into existing frameworks without considering the overall experience. True transformation demands a reimagining of customer support that incorporates hybrid solutions from the ground up.”

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