UAE and Saudi Arabia Lead Global AI Adoption, Outpacing 87% Worldwide Average

Global data analytics and AI company, Click, has released the results of a survey involving 4,200 AI decision-makers, shedding light on the current barriers to the widespread adoption of artificial intelligence.

The study revealed that the key challenges hindering AI growth include a lack of skilled talent, issues with governance, and insufficient resources. The report emphasized the need for AI skills development to overcome these obstacles and accelerate the technology's adoption.

Despite these challenges, the survey indicates a promising future for AI in the region, with a notable sense of optimism in both the UAE and Saudi Arabia. The majority of participants from these countries expressed strong confidence in their ability to lead AI talent development over the next five years. In fact, 70% of UAE respondents and 77% of Saudi respondents were optimistic about their nation's ability to foster AI skills during this period.

Both the UAE and Saudi Arabia are leading the way in AI adoption, with companies in these countries recognizing the transformative power of AI for business growth. The study found that a large majority of companies in the UAE (93%) and Saudi Arabia (95%) view AI as a crucial factor for institutional success, significantly outpacing the global average of 87%.

AI is being utilized across various sectors in the Gulf, including knowledge sharing, training, efficiency improvement, and forecasting future trends. However, despite the growing enthusiasm for AI, many projects in both countries are struggling to transition from planning to execution.

A significant proportion of AI initiatives in the UAE and Saudi Arabia remain stalled in early stages. The survey identified key barriers to successful AI project execution, including regulatory challenges, talent shortages, and financial constraints.

Data-related challenges, such as poor-quality or insufficient data, also pose significant hurdles. Both countries face difficulties in achieving their AI objectives due to these data-related issues, further compounded by a lack of skilled talent and the necessary resources for data analysis.

The study highlights the urgency for both nations to address these barriers to fully capitalize on the potential of AI, with a clear focus on enhancing talent, governance, and resource allocation.