UAE: Pakistan, India to be most affected by Artificial Intelligence automation

As artificial intelligence-driven automation increasingly takes over jobs, certain countries will be hit harder than others, especially those with large populations.

In the Asia region, workers in Bhutan, Pakistan and India will bear the brunt of increased automation of roles, according to data report by International Labour Organisation and Willrobotstakemyjob website.

In the Middle East region, the top three nations that will be hit hardest by artificial intelligence job automation are Iran, Jordan and Egypt.

According to the report, it is estimated that 64 per cent of the worldwide workforce is at risk of artificial intelligence automation. The US bank Goldman Sachs has projected that AI would render 300 million workers jobless.

This report estimated that 64 per cent of the worldwide workforce is at risk of AI automation.

In the Asia region, workers in Bhutan, Pakistan and India will bear the brunt of increased automation of roles, according to data report by International Labour Organisation and Willrobotstakemyjob website.

In the Middle East region, the top three nations that will be hit hardest by artificial intelligence job automation are Iran, Jordan and Egypt.

This requires these countries to upskill their workforce for new jobs and roles that are changing fast with the arrival of new-age technologies.

Companies in Saudi Arabia, UAE and other Gulf countries are also increasingly deploying AI to automate many roles.

“Solutions that offer end-to-end visibility and automation are the ones most in demand,” says Osama Al-Zoubi, CTO, Cisco Middle East and Africa.

“Today, the network is both the tool for digital transformation and the main means of keeping the lights on across several industries in the Middle East. To align with the region’s evolving needs, and shifting IT priorities – security, agility and business performance have overtaken cost and network management as the key concerns for IT teams,” he said.

Saudi Arabia’s Bank Al Jazira alone is said to have saved over 60,000 hours of manual work deploying cloud-native AI system Automation Anywhere to improve cost efficiency.

“We have benefited from smart automation to enhance our operational efficiency while enabling our employees to focus on delivering greater value to customers. The journey of digital expansion of our bank has already been supported by the internal State authorities, for complying with all regulatory requirements,” Faisal Al Rashoudi, head of automation and robotics, Bank AlJazira.

“Banks are increasingly turning towards intelligent automation to deal with multiple complexities ranging from changing regulations to new digital security threats,” said Dinesh Chandra, vice-president, Middle East, Automation Anywhere.

Globally, Zambia, Bhutan, Angola, Armenia and Pakistan would be the most affected nations by AI automation while least affected are Singapore, Panama, Slovakia, Batswana and Trinidad and Tobago according to data sourced by bizreport from International Labour Organisation and Willrobotstakemyjob website.

This necessitates proactive measures by governments and organizations to equip their workforce with the skills needed for emerging roles.

With nearly two-thirds of the worldwide workforce at risk, it is crucial for governments, businesses, and individuals to adapt and acquire the necessary skills to thrive in an automated world.

The potential benefits of artificial intelligence automation cannot be overlooked, as it has the capacity to enhance productivity, efficiency, and innovation.

However, the widespread adoption of artificial intelligence also calls for a comprehensive approach that addresses the social and economic implications, including potential job displacement.

It is essential to foster a culture of lifelong learning and upskilling, ensuring that individuals are equipped to leverage the opportunities presented by artificial intelligence and contribute to the evolving job market.

Governments, organizations, and individuals must work together to ensure a smooth transition, harnessing the potential of artificial intelligence while mitigating any adverse effects on employment.