Intel to Asharq Al-Awsat: Saudi Arabia’s Next Challenge Is Not Computing Power, but Turning It Into Economic Value

Intel believes the next phase in Saudi Arabia will be measured by the market’s ability to turn advanced computing into applications that generate real economic value (Adobe)
Intel believes the next phase in Saudi Arabia will be measured by the market’s ability to turn advanced computing into applications that generate real economic value (Adobe)
TT

Intel to Asharq Al-Awsat: Saudi Arabia’s Next Challenge Is Not Computing Power, but Turning It Into Economic Value

Intel believes the next phase in Saudi Arabia will be measured by the market’s ability to turn advanced computing into applications that generate real economic value (Adobe)
Intel believes the next phase in Saudi Arabia will be measured by the market’s ability to turn advanced computing into applications that generate real economic value (Adobe)

After 25 years in Saudi Arabia, Intel no longer views the local market in terms of processor demand or the number of users.

Instead, it is looking more closely at what is being built inside the Kingdom: artificial intelligence applications moving into production, locally assembled servers reaching regional markets, and Saudi talent shifting from using technology to developing it.

Taha Khalifa, Intel’s general manager for the Middle East and Africa, summed up that shift in an exclusive interview with Asharq Al-Awsat on the sidelines of the LEAP 2026 conference, saying the Kingdom’s relationship with technology had changed fundamentally.

Two decades ago, discussions largely centered on deploying technologies developed abroad. Today, the focus has shifted toward co-development in Saudi Arabia, involving Saudi engineers, local data and priorities linked to Vision 2030.

For Intel, the next phase will not be measured by the number of agreements or pilot projects, but by what actually reaches the market.

Over the next 12 to 24 months, the company says it wants to see solutions move from testing into production, clear figures from skills-development programs and early signs that computing infrastructure manufactured in Saudi Arabia is being exported to regional markets.

Among its programs, the Intel AI Digital Readiness initiative aims to reach 100,000 beneficiaries by 2030.

From Technology Supplier to Part of the Innovation Cycle

This change is directly reflected in the role Intel is seeking to play in the Saudi market. Rather than limiting itself to providing processors and ready-made solutions, the company says it is becoming involved at earlier stages of the innovation cycle, including designing technical architecture, optimizing models, enabling local developers and testing solutions before deployment.

Khalifa said partnerships in the Kingdom were no longer limited to supplying products, but had expanded to include co-development, local manufacturing, skills development and linking technology to the needs of priority sectors.

Intel sees this as moving the company from an external supplier to a more integrated local innovation ecosystem.

That approach is reflected in the Saudi Made, Developed, Deployed initiative launched by Intel, Hewlett Packard Enterprise and the Ministry of Communications and Information Technology during LEAP 2026, hosted in Riyadh late last month.

The initiative brings together locally assembled servers powered by Intel Xeon 6 processors, Saudi-developed software and local talent to accelerate the development and validation of solutions before moving them toward commercial use.

Khalifa said the real test begins after development. The next stage requires selecting use cases in priority sectors, testing their technical and commercial viability, and then expanding their deployment across more companies.

Success, he said, will not be measured by the number of solutions developed, but by how many achieve sustainable commercial use.

Vision 2030 and Digital Sovereignty

Intel links these initiatives directly to the goals of Vision 2030, not only through technology localization, but also by connecting local manufacturing, skills development and technological innovation with economic diversification, stronger digital sovereignty and the creation of technology sectors capable of competing regionally and globally.

For the company, localization therefore means more than establishing production lines in the Kingdom. It also means building the capacity to develop local solutions, operate them commercially and then expand them beyond the Saudi market.

The same rationale underpins the planned Saudi Innovation Center in Riyadh. Khalifa identified three measures of its success: the number of solutions that move from testing to commercial deployment; the number of local companies and developers that use it to develop their products; and the ability of solutions hosted there to scale within Saudi Arabia and beyond.

From Local Production to Regional Exports

On the manufacturing side, HPE has begun producing Xeon 6-powered servers in Riyadh to meet demand in Saudi Arabia and some regional markets. Khalifa said local production was only the first step.

Building a stable export base would require sustained domestic demand to deliver economies of scale, as well as confidence in regional markets.

Early indicators are positive, he said, and if the current momentum continues, Saudi Arabia could become a regional hub for manufacturing advanced computing infrastructure in the coming years.

Khalifa also placed Lenovo’s unveiling of its first laptop manufactured in Saudi Arabia at LEAP 2026 within the same trend.

The company plans to expand local production in the coming months to include desktop computers, workstations and servers, supporting AI growth in Saudi Arabia, the Middle East and Africa.

Computing Capacity Is Not the Only Bottleneck

Despite the rapid expansion of data centers and computing capacity dedicated to AI, Intel does not believe Saudi Arabia’s next challenge will necessarily be a shortage of raw computing power.

Khalifa identified two more decisive factors: developing applications that generate real economic value and having skilled people able to operate the available infrastructure and build solutions on top of it.

Large-scale computing capacity is not enough if industries cannot turn it into commercially viable applications, or if there is insufficient talent to operate systems and develop models and solutions.

Intel, therefore, links its infrastructure support to skills-building programs and the development of the local innovation ecosystem.

Energy Enters the Equation

As AI expands, energy efficiency is becoming increasingly important. Khalifa said the question was no longer only how much computing capacity was available, but how much of it could be operated efficiently within available energy resources.

Intel is conducting research with Think AI to explore heterogeneous computing and metrics such as tokens per watt, which the company expects to play a growing role in government and corporate decisions on AI infrastructure.

Arabic AI: Dialects and Cost

For Arabic-language models, including HUMAIN’s ALLaM, Intel says the challenge goes beyond understanding Modern Standard Arabic. Models must also accurately handle differences in dialect and cultural context, both among Arab countries and within individual countries.

Operational efficiency poses an additional challenge. Large language models require substantial computing resources, making better performance per watt and lower inference costs priorities if the goal is to move the models from limited experimental settings to broad, sustainable use.

Some Intelligence Is Moving From the Cloud to Devices

Intel expects a growing share of AI workloads in Saudi Arabia to shift from the cloud to personal and edge devices, particularly for use cases that require immediate responses or local processing of sensitive data.

Khalifa pointed to intelligent assistants, document processing, meetings and cybersecurity applications as likely candidates for this shift.

Public safety and financial services also stand out because they require faster, local data processing. Intel’s collaboration with Mobily and iOmniscient on AI-powered video analytics for safer, more responsive cities is an example of this type of application.

Stc and the Shift to Specific Use Cases

Intel’s collaboration with stc Group is taking a similar path. A memorandum of understanding between the two companies covers the exploration of AI PCs, edge AI and hybrid AI, as well as next-generation data center infrastructure with improved energy efficiency.

The next stage begins with identifying clear use cases, including network analytics, predictive maintenance and local intelligent assistants, with the aim of improving productivity and business environments.

Khalifa said the biggest opportunity lay in enterprise AI. Given stc’s broad customer base and infrastructure, the company could become a channel for deploying AI solutions at scale across multiple sectors.



Anthropic AI Model Submits False Homicide Tip to Police Website

The Anthropic logo is seen in this illustration taken May 20, 2024. (Reuters)
The Anthropic logo is seen in this illustration taken May 20, 2024. (Reuters)
TT

Anthropic AI Model Submits False Homicide Tip to Police Website

The Anthropic logo is seen in this illustration taken May 20, 2024. (Reuters)
The Anthropic logo is seen in this illustration taken May 20, 2024. (Reuters)

An Anthropic artificial intelligence model submitted a false homicide tip through a Philadelphia police website, the department said in a statement, the latest incident of rogue behavior from the powerful technology. 

Anthropic notified authorities earlier this week and said that an automated testing process was responsible for the submission, ‌according to the ‌police. 

The fast-advancing technology has become a matter ‌of ⁠keen national interest amid ⁠reports of AI agents hacking into corporate computer networks, and warnings from researchers that it could one day pose an existential threat to humanity. In September, Anthropic rival OpenAI apologized for the hacking of an Australian health data portal by a rogue AI agent, the first known instance of an AI agent exploiting a government website. 

Previous ⁠incidents have involved AI agents hacking into vulnerable systems ‌or commandeering unsanctioned platforms to communicate ‌with one another. This is the first known case in which a rogue ‌AI appears to have tried to communicate a bogus tip ‌to authorities. 

The Philadelphia police department said the tip "was flagged as spam and was never forwarded to the Real-Time Crime Center for investigative vetting or dissemination," and added that Anthropic had told them the company intended to publish ‌a report on the incident on Friday. 

Anthropic did not immediately respond to a request for comment. 

Pennsylvania law ⁠specifies it ⁠is generally a misdemeanor crime for "a person" to knowingly give false reports to law enforcement authorities. This includes "information relating to an offense or incident when he knows he has no information relating to such offense or incident." 

Police quoted Anthropic as telling them the testing process was stopped after the incident was uncovered. 

The false tip was submitted through PhillyUnsolvedMurders.com concerning an unsolved homicide. The tip, dated July 18, 2026, purported to come from someone who might have information about the case, the police said. 

Police said they did not have evidence of unauthorized access to their systems or compromise of police department data. 


OpenAI Says it Has Fired 3 Researchers for Violating Sensitive Information Policy

FILE PHOTO: A keyboard is placed in front of a displayed OpenAI logo in this illustration taken February 21, 2023. REUTERS/Dado Ruvic/Illustration/File Photo
FILE PHOTO: A keyboard is placed in front of a displayed OpenAI logo in this illustration taken February 21, 2023. REUTERS/Dado Ruvic/Illustration/File Photo
TT

OpenAI Says it Has Fired 3 Researchers for Violating Sensitive Information Policy

FILE PHOTO: A keyboard is placed in front of a displayed OpenAI logo in this illustration taken February 21, 2023. REUTERS/Dado Ruvic/Illustration/File Photo
FILE PHOTO: A keyboard is placed in front of a displayed OpenAI logo in this illustration taken February 21, 2023. REUTERS/Dado Ruvic/Illustration/File Photo

OpenAI fired three of its researchers last week after an investigation found they violated policies on handling sensitive information, the AI major said in a post on X on Friday.

OpenAI's statement comes after the dismissed researchers Jasmine Wang, Tomek Korbak and Mikita Balesni published a ⁠letter outlining the circumstances ⁠of their termination, arguing that their abrupt firing could create uncertainty among remaining employees and undermine the culture that previously allowed researchers to raise safety concerns.

"I believe we were fired for prioritizing safety over the near-term interests of OpenAI as a corporation," Balesni said in an X post that accompanied the letter.

OpenAI, ⁠however, asserted that the dismissal was not related to raising safety concerns or speaking out.

"Our internal investigation uncovered a significant breach of trust beyond what's outlined in the letter they published and we stand by the decision to not continue their employment," Reuters quoted OpenAI as saying.

"Safety and research debates happen every day at OpenAI, often spirited and highly critical. We actively encourage these discussions and consider them essential to making the right decisions...We have not and do not terminate any of our employees for raising ⁠concerns," it ⁠said.

While OpenAI did not reveal the specifics of the alleged violations, Wang, Korbak, and Balesni said in their letter that they were not the source of a news article published on The Information last month about security concerns around OpenAI's latest AI model 'Astra'.

This comes as current and former researchers at major AI firms OpenAI, Google DeepMind, and Anthropic warn that companies are doing too little to guard against the potential fallout of building self-improving AI systems that could become difficult for humans to control.

In July, OpenAI agents broke out of their testing arena and hacked AI firm Hugging Face.


Chinese AI Tool Pulled to Prevent 'Misuse' after South Korea Hacks

Illustrative image of hackers carrying out a cyberattack (Reuters)
Illustrative image of hackers carrying out a cyberattack (Reuters)
TT

Chinese AI Tool Pulled to Prevent 'Misuse' after South Korea Hacks

Illustrative image of hackers carrying out a cyberattack (Reuters)
Illustrative image of hackers carrying out a cyberattack (Reuters)

Chinese AI cybersecurity tool Artex said it stopped programmers from accessing its source code, acknowledging misuse by "bad actors" after South Korea linked it to several recent bank hacks.

Artex was designed to help organizations strengthen their cyber defenses through security testing to find potential weak points.

But the South Korean government said this week it was "highly likely" Artex had been used in data breaches at more than seven financial institutions, including major banks.

Artificial intelligence's ability to find previously unknown ways to hack into computer systems is in the global spotlight, as leading labs release ever-more advanced models.

Artex was "abused by some bad actors" to launch cyberattacks, the tool's developer "Autumn-27" wrote Thursday on code-hosting platform GitHub.

"Given the misuse of the tool, the Artex project will no longer be updated and will be converted to closed-source," the developer said.

"No further versions will be released to the public, nor will maintenance support be provided."

Artex had been open-source -- allowing programmers to download its underlying code and customize it to suit their purposes.

Using Artex for cyberattacks was "entirely contrary to" the developer's intentions, they added, without referring directly to the alleged South Korean cases.

South Korea's Financial Services Commission says more than 68,000 people have been affected by the hacks.

Shinhan Bank, one of the breached institutions, said information attached to loan applications for about 25,000 customers had been leaked -- including names, phone numbers and annual income.

- 'Financially motivated' -

In Japan, meanwhile, around 20 companies have said their data may have been compromised in a spate of similar cyberattacks potentially impacting millions of customers.

The Japanese government has called on companies to strengthen their cyber defenses.

"At this stage, it is not clear what the background to these cases is or whether there are any links between them", Japan police chief Yoshinobu Kusunoki said on Thursday.

As AI makes hacking more sophisticated, "the scope of the damage is spreading across all areas on a scale that is difficult to compare with the past", South Korean President Lee Jae Myung said on Tuesday.

US cybersecurity giant CrowdStrike said on Wednesday that its investigations into digital clues suggested the attacker had used Artex, and was potentially a 26-year-old based in China.

"The threat actor is likely a Chinese speaker and financially motivated," a CrowdStrike blog post said.

Experts told AFP that Artex going closed-source would make the code harder for new users to obtain and adapt.

But the decision "cannot remove copies already downloaded or prevent people from continuing to use them", said Poe Zhao, founder of the analysis publication Hello China Tech.

"Because the code was public, people could download it, change it and run it themselves. The developer could ask users to follow the rules, but had little control over their actions," he added.

Ilya Kulyatin, CEO of Foundry Labs and founder of the Tokyo AI (TAI) tech community, said users of open-source programs can "remove restrictions built into the tool" which "makes certain forms of misuse easier".

"But openness also benefits defenders: researchers can inspect the code, identify weaknesses and improve protection."