UAE Recognised As A Global Model For Future Foresight By World Economic Forum President

The World Economic Forum's President and CEO, Børge Brende, highlighted the significance of the Annual Meetings of the Global Future Councils and Cybersecurity 2025 in Dubai. These gatherings, attended by over 800 global experts, emphasise the UAE's pivotal role as a centre for future foresight and crafting solutions to international challenges.

Brende noted that these meetings have been held in Dubai for more than 16 years. They have guided many significant decisions at both regional and global levels by bringing together experts and decision-makers. The focus is on how emerging technologies can benefit humanity and enhance international cooperation in tackling future challenges like pandemics and cybersecurity threats.

Cybersecurity emerged as a key topic this year due to the staggering global losses from cybercrime, which exceed US$5 trillion annually. Brende stressed the need for stronger collaboration among governments to address this escalating threat. He advocated for joint mechanisms to protect the global economy from such vulnerabilities.

The world is currently experiencing one of its most complex geopolitical periods in decades. However, there are encouraging developments, especially in the Gulf region. Countries like the UAE, Saudi Arabia, and Qatar are experiencing rapid economic growth and substantial structural reforms, setting a benchmark for progress in the area.

Brende pointed out that despite geopolitical complexities, there are positive signs in regions like the Gulf. Nations such as the UAE, Saudi Arabia, and Qatar are witnessing swift economic expansion and significant reforms. These changes serve as a model for advancement within the region.

This intellectual gathering in Dubai continues to bolster the UAE’s status as an international hub for constructive dialogue and knowledge exchange. It sets the stage for a more secure and sustainable future for humanity through ongoing discussions and collaborations.

With inputs from WAM