How Artificial Intelligence Is Reshaping Saudi Arabia’s Labor Market

A man walks past an AI screen at the LEAP 25 conference in Riyadh. (SPA)
A man walks past an AI screen at the LEAP 25 conference in Riyadh. (SPA)
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How Artificial Intelligence Is Reshaping Saudi Arabia’s Labor Market

A man walks past an AI screen at the LEAP 25 conference in Riyadh. (SPA)
A man walks past an AI screen at the LEAP 25 conference in Riyadh. (SPA)

Artificial intelligence (AI) and emerging technologies are increasingly becoming the cornerstone of Saudi Arabia’s future labor market as the Kingdom undergoes rapid digital transformation. While automation is boosting efficiency and productivity, it also underscores the urgent need to reskill the current workforce and prepare younger generations with future-ready skills. The widening gap between traditional education and evolving market demands calls for decisive action.

This shift does not signal the disappearance of jobs, but rather their redefinition. Routine tasks are giving way to roles requiring analytical thinking, digital fluency, and creativity. The very nature of employment is transforming from simply executing tasks to managing complex solutions.

AI is accelerating this evolution across key sectors including healthcare, manufacturing, and finance, where local case studies show how the technology is cutting costs and improving operational performance.

Yet, despite the opportunities AI presents for growth and job creation, significant challenges remain. Chief among them are high adoption costs, underdeveloped infrastructure, and a shortage of qualified professionals.

Addressing these issues will require coordinated efforts from the government, private sector, and educational institutions to ensure a balanced digital transformation, one that empowers human potential rather than marginalizing it.

Ali Al-Eid, a human resources expert, told Asharq Al-Awsat that digital transformation, future readiness, and awareness of key job skills are now central pillars of Saudi Arabia’s national development strategy.

While some fear AI may lead to mass job losses, Al-Eid said it will instead reshape existing roles. He expects routine jobs to fade, replaced by positions that demand analytical, digital, and advanced interpersonal skills.

Employment will increasingly prioritize flexibility and innovation over years of experience, he added.

AI is boosting automation, enabling big data analysis, and improving the speed and accuracy of decision-making, he noted. These changes are reducing waste and enhancing efficiency in sectors like healthcare, logistics, finance, and human resources, where faster decisions and improved outcomes are already evident.

He stressed the need for comprehensive strategies that foster innovation, encourage the adoption of new technologies, and ensure a fair transition for workers. This includes investing in reskilling programs and providing social safety nets.

According to Al-Eid, the success of future employment initiatives hinges on the private sector’s commitment to keeping pace with technological change.

Economic policy expert Ahmed Al-Shehri echoed these views, noting that AI is rapidly redrawing the contours of Saudi Arabia’s labor market, fueled by Vision 2030’s push to diversify the economy and drive innovation.

He said AI is automating routine tasks and improving work quality across public and private sectors. Based on global trends, he estimated that between 25 and 30 percent of existing jobs in the Kingdom could be affected by AI by 2030. At the same time, the technology will create new opportunities in high-tech fields and increase productivity by streamlining operations.

The oil sector is already seeing tangible benefits. Saudi Aramco, for example, uses AI for predictive maintenance, reducing costs and boosting operational efficiency by up to 20 percent. Al-Shehri added that many educational institutions and stakeholders are prioritizing future skill development to close the gap between conventional education and the needs of a high-tech economy.

He said current policies are capable of striking a balance between accelerating technological adoption and preserving existing jobs, thanks to incentives and public-private partnerships, such as those driving mega-projects like NEOM.

Tarek Mansour, senior partner at McKinsey, highlighted the findings of recent research by the Future Investment Initiative in collaboration with his firm. According to the study, automation and skill development are key drivers of productivity in the region.

It estimated that productivity could grow by 2.7 percent annually by 2030, driven by modern technologies like generative AI, which boosts human creativity in critical sectors such as healthcare and scientific research.

Mansour noted that the benefits of digital transformation extend beyond productivity gains. New jobs will be created, and talent shortages in specialized fields, particularly in science, technology, engineering, and mathematics, could be eased.

Gulf countries already possess a strong talent pool and can launch large-scale skill-building programs, especially in strategic and technical sectors, to meet evolving labor market demands and improve youth employment prospects, he remarked.

Saudi Arabia, he added, has made impressive strides in embracing technology, with a clear focus on AI readiness and the development of digital infrastructure to keep pace with rapid technological change. A 2024 survey conducted for the study found that 56 percent of companies in the Middle East and North Africa are using AI, compared to 85 percent in the European Union and the United States.

However, Mansour pointed out that key barriers to adopting advanced technologies include implementation costs, infrastructure limitations, and a lack of skilled workers. In the Middle East, 52 percent of business leaders cited high costs as a major obstacle, while 45 percent pointed to infrastructure challenges.



Italy Watchdog Orders Meta to Halt WhatsApp Terms Barring Rival AI Chatbots

The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)
The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)
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Italy Watchdog Orders Meta to Halt WhatsApp Terms Barring Rival AI Chatbots

The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)
The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)

Italy's antitrust authority (AGCM) on Wednesday ordered Meta Platforms to suspend contractual terms ​that could shut rival AI chatbots out of WhatsApp, as it investigates the US tech group for suspected abuse of a dominant position.

A spokesperson for Meta called the decision "fundamentally flawed," and said the emergence of AI chatbots "put a strain on our systems that ‌they were ‌not designed to support".

"We ‌will ⁠appeal," ​the ‌spokesperson added.

The move is the latest in a string by European regulators against Big Tech firms, as the EU seeks to balance support for the sector with efforts to curb its expanding influence.

Meta's conduct appeared capable of restricting "output, market ⁠access or technical development in the AI chatbot services market", ‌potentially harming consumers, AGCM ‍said.

In July, the ‍Italian regulator opened the investigation into Meta over ‍the suspected abuse of a dominant position related to WhatsApp. It widened the probe in November to cover updated terms for the messaging app's business ​platform.

"These contractual conditions completely exclude Meta AI's competitors in the AI chatbot services ⁠market from the WhatsApp platform," the watchdog said.

EU antitrust regulators launched a parallel investigation into Meta last month over the same allegations.

Europe's tough stance - a marked contrast to more lenient US regulation - has sparked industry pushback, particularly by US tech titans, and led to criticism from the administration of US President Donald Trump.

The Italian watchdog said it was coordinating with the European ‌Commission to ensure Meta's conduct was addressed "in the most effective manner".


Amazon Says Blocked 1,800 North Koreans from Applying for Jobs

Amazon logo (Reuters)
Amazon logo (Reuters)
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Amazon Says Blocked 1,800 North Koreans from Applying for Jobs

Amazon logo (Reuters)
Amazon logo (Reuters)

US tech giant Amazon said it has blocked over 1,800 North Koreans from joining the company, as Pyongyang sends large numbers of IT workers overseas to earn and launder funds.

In a post on LinkedIn, Amazon's Chief Security Officer Stephen Schmidt said last week that North Korean workers had been "attempting to secure remote IT jobs with companies worldwide, particularly in the US".

He said the firm had seen nearly a one-third rise in applications by North Koreans in the past year, reported AFP.

The North Koreans typically use "laptop farms" -- a computer in the United States operated remotely from outside the country, he said.

He warned the problem wasn't specific to Amazon and "is likely happening at scale across the industry".

Tell-tale signs of North Korean workers, Schmidt said, included wrongly formatted phone numbers and dodgy academic credentials.

In July, a woman in Arizona was sentenced to more than eight years in prison for running a laptop farm helping North Korean IT workers secure remote jobs at more than 300 US companies.

The scheme generated more than $17 million in revenue for her and North Korea, officials said.

Last year, Seoul's intelligence agency warned that North Korean operatives had used LinkedIn to pose as recruiters and approach South Koreans working at defense firms to obtain information on their technologies.

"North Korea is actively training cyber personnel and infiltrating key locations worldwide," Hong Min, an analyst at the Korea Institute for National Unification, told AFP.

"Given Amazon's business nature, the motive seems largely economic, with a high likelihood that the operation was planned to steal financial assets," he added.

North Korea's cyber-warfare program dates back to at least the mid-1990s.

It has since grown into a 6,000-strong cyber unit known as Bureau 121, which operates from several countries, according to a 2020 US military report.

In November, Washington announced sanctions on eight individuals accused of being "state-sponsored hackers", whose illicit operations were conducted "to fund the regime's nuclear weapons program" by stealing and laundering money.

The US Department of the Treasury has accused North Korea-affiliated cybercriminals of stealing over $3 billion over the past three years, primarily in cryptocurrency.


KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo
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KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo

King Abdullah University of Science and Technology (KAUST) and SARsatX, a Saudi company specializing in Earth observation technologies, have developed computer-generated data to train deep learning models to predict oil spills.

According to KAUST, validating the use of synthetic data is crucial for monitoring environmental disasters, as early detection and rapid response can significantly reduce the risks of environmental damage.

Dean of the Biological and Environmental Science and Engineering Division at KAUST Dr. Matthew McCabe noted that one of the biggest challenges in environmental applications of artificial intelligence is the shortage of high-quality training data.

He explained that this challenge can be addressed by using deep learning to generate synthetic data from a very small sample of real data and then training predictive AI models on it.

This approach can significantly enhance efforts to protect the marine environment by enabling faster and more reliable monitoring of oil spills while reducing the logistical and environmental challenges associated with data collection.