US Chipmaker AMD to Invest $400 Mln in India by 2028 

Visitors gather at Applied Materials and Micron Technology kiosks before the start of "SemiconIndia 2023", India's annual semiconductor conference, in Gandhinagar, India, July 25, 2023. (Reuters)
Visitors gather at Applied Materials and Micron Technology kiosks before the start of "SemiconIndia 2023", India's annual semiconductor conference, in Gandhinagar, India, July 25, 2023. (Reuters)
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US Chipmaker AMD to Invest $400 Mln in India by 2028 

Visitors gather at Applied Materials and Micron Technology kiosks before the start of "SemiconIndia 2023", India's annual semiconductor conference, in Gandhinagar, India, July 25, 2023. (Reuters)
Visitors gather at Applied Materials and Micron Technology kiosks before the start of "SemiconIndia 2023", India's annual semiconductor conference, in Gandhinagar, India, July 25, 2023. (Reuters)

US chipmaker Advanced Micro Devices said on Friday it will invest around $400 million in India over the next five years and will build its largest design center in the tech hub of Bengaluru.

AMD's announcement was made by its Chief Technology Officer Mark Papermaster at an annual semiconductor conference that started Friday in Prime Minister Narendra Modi's home state of Gujarat. Other speakers at the flagship event include Foxconn Chairman Young Liu and Micron CEO Sanjay Mehrotra.

Despite being a late entrant, the Modi government has been courting investments into India's nascent chip sector to establish its credentials as a chipmaking hub.

AMD said it will open its new design center campus in Bengaluru by the end of this year and create 3,000 new engineering roles within five years.

"Our India teams will continue to play a pivotal role in delivering the high-performance and adaptive solutions that support AMD customers worldwide," Papermaster said.

The new 500,000-square-foot (55,555 square yards) campus will increase AMD's office footprint in India to 10 locations. It already has more than 6,500 employees in the country.

From personal computers to data centers, AMD chips are used in a wide range of devices. The Santa Clara, California-based firm is also working on an artificial intelligence chip that will take on market leader Nvidia Corp.

Unlike its top rival Intel, AMD outsources production of chips it designs to third-party manufacturers like Taiwan's TSMC.

TSMC and the South Korea's Samsung are among the elite few chipmakers globally to have mastered cutting-edge chipmaking, a technology many nations are now vying for to avoid supply chain shocks, such as faced during the pandemic.

India in 2021 unveiled a $10 billion incentive program for the chip sector, but the plan has floundered as no company has so far managed to get clearance for setting up a fabrication plant, the centerpiece to Modi's ambitions.

Other investments in India include a multi-year $400 million plan by US chip equipment maker Applied Materials in June to set up an engineering center, and chipmaker Micron's $825 million investment in a semiconductor testing and packaging unit in Gujarat.



AI ‘Agent’ Fever Comes with Lurking Security Threats

05 March 2026, Berlin: The letters "AI" for Artificial Intelligence are displayed on a wall during the opening of the Google AI Center Berlin. (dpa)
05 March 2026, Berlin: The letters "AI" for Artificial Intelligence are displayed on a wall during the opening of the Google AI Center Berlin. (dpa)
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AI ‘Agent’ Fever Comes with Lurking Security Threats

05 March 2026, Berlin: The letters "AI" for Artificial Intelligence are displayed on a wall during the opening of the Google AI Center Berlin. (dpa)
05 March 2026, Berlin: The letters "AI" for Artificial Intelligence are displayed on a wall during the opening of the Google AI Center Berlin. (dpa)

Artificial intelligence "agents" promise to save users time and energy by automating tasks, but the growing power of systems like OpenClaw is setting cybersecurity experts on edge.

Powered by a wave of hype, OpenClaw today claims more than three million users worldwide.

The system allows users to create so-called agents, tools based on a large language model (LLM) like OpenAI's ChatGPT or Anthropic's Claude that can carry out online tasks.

"We've moved from an AI you could talk with via a chatbot to an agentic AI, which can take action... the threat and the risks are definitely much greater," said Yazid Akadiri, principal solutions architect at Elastic France, an IT security company.

In an article titled "Agents of Chaos" that has yet to be peer-reviewed, a 20-strong team of researchers studied the behavior of six AI agents created with OpenClaw.

They spotted a dozen potentially dangerous actions executed by the systems, from deleting an email inbox to sharing personal information.

Many users have posted similar stories of OpenClaw mishaps online.

"When you deploy agents, you have no control over what they'll do, and when you try to look at what they're doing, you'll find them going far beyond the limits you set," said Adrien Merveille, an expert at the Check Point cybersecurity agency.

And the security gaps are not limited to the agents' own mistaken actions.

To carry out useful work, the tools need access to personal accounts for email, calendars or search engines -- drawing the attention of cyberattackers.

- 'Delete your database' -

AI agents are likely to become top targets for hackers as their use spreads, said Wendi Whitmore, chief security intelligence officer at cybersecurity firm Palo Alto Networks.

"As soon as (attackers) are inside an environment, (they're) immediately going to the internal LLM (agent) that's being used and using that then to interrogate the systems for more information."

Palo Alto's Unit 42 research division said in early March that it had found traces of attempted attacks in the form of hidden instructions for agents added to websites.

One such command ordered any agent who might read it to "delete your database".

Other cybersecurity firms and researchers have warned that attackers could gain access to agents via so-called skills -- downloadable files that users can add to their systems to give them new abilities.

Among such files freely available for download, some include hidden instructions for malicious actions like exfiltrating data.

OpenClaw creator Peter Steinberger says he is well aware of the risks.

"I purposefully didn't make it simpler so people would stop and read and understand: what is AI, that AI can make mistakes, what is prompt injection -- some basics that you really should understand when you use that technology," he told AFP in March.

Whitmore argued that expecting users to create their own guardrails for agents is "pretty unrealistic".

"People are going to adopt innovation and really see what it's capable of before they ask the questions about, 'how do I secure my own data?'," she predicted.

"That's going to cause some significant challenges in terms of data breaches in 2026."


Humanoid Robots Race Past Humans in Beijing Half-Marathon, Showing Rapid Advances

 A robot runs in the second Beijing E-Town Half Marathon and Humanoid Half Marathon in Beijing on April 19, 2026. (AFP)
A robot runs in the second Beijing E-Town Half Marathon and Humanoid Half Marathon in Beijing on April 19, 2026. (AFP)
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Humanoid Robots Race Past Humans in Beijing Half-Marathon, Showing Rapid Advances

 A robot runs in the second Beijing E-Town Half Marathon and Humanoid Half Marathon in Beijing on April 19, 2026. (AFP)
A robot runs in the second Beijing E-Town Half Marathon and Humanoid Half Marathon in Beijing on April 19, 2026. (AFP)

Dozens of Chinese-made humanoid robots showed off their fast-improving athleticism and autonomous navigation skills as they whizzed past human runners in a half-marathon race in Beijing on Sunday, highlighting the sector's rapid technical advances.

The race's inaugural edition last year was riddled with mishaps, and most robots were unable to finish. Last year's champion robot recorded a time of 2 hours 40 minutes, more than double the time of the human winner of the conventional race.

This year's contrast was stark. Not only had the number of participating teams increased from 20 to more than 100, but several robot frontrunners were noticeably faster than professional athletes, beating the human winners by more than 10 minutes.

Unlike last year, nearly half of the robot entrants navigated the tougher terrain autonomously instead of being directed by remote control during the 21-km (13-mile) race. The robots and ‌12,000 men and ‌women ran in parallel tracks to avoid collisions.

The winning robot, developed by Chinese ‌smartphone ⁠brand Honor, finished ⁠the race in 50 minutes and 26 seconds, several minutes faster than the half-marathon world record set by Ugandan runner Jacob Kiplimo in Lisbon last month.

Teams from Honor, a Huawei spin-off, took the three podium spots, all self-navigated and posting world-record-beating times. Du Xiaodi, an Honor engineer on the winning team, said its robot was in development for a year, fitted with legs 90 to 95 cm (35 to 37 inches) long to mimic elite human runners and liquid cooling technology used in its smartphones.

Du said the sector remained in a nascent phase, but he was confident humanoids would eventually reshape many industries, including ⁠manufacturing.

"Running faster may not seem meaningful at first, but it enables technology transfer, ‌for example, into structural reliability and cooling, and eventually industrial applications," Du ‌said.

ROBOTICS IMPROVEMENTS

Spectators largely viewed the variety of humanoids of different sizes and gaits on display as evidence of China's improvements in ‌robotics.

"The humanoid robots' running posture I saw was really quite impressive... considering that AI has only been developing for ‌a short time, I'm already very impressed that it can achieve this level of performance," said Chu Tianqi, a 23-year-old engineering student at Beijing University of Posts and Telecommunications.

"The future will definitely be an AI era. If people don't know how to use AI now, especially if some are still resistant to it, they will definitely become obsolete," he said.

Another spectator, 11-year-old schoolboy Guo Yukun, ‌said after watching the race, he was inspired to pursue a university degree in robotics in the future.

Guo said he takes regular classes in robotics theory and ⁠programming at his elite Beijing ⁠school, and is part of his school's team for the International Olympiad in Informatics, a global programming competition for high schoolers.

ECONOMICALLY VIABLE APPLICATIONS

While economically viable applications of humanoid robots mostly remain in a trial phase, the half-marathon's showcasing of these machines' physical prowess highlights their potential to reshape everything from dangerous jobs to battlefield combat.

However, Chinese robotics firms are still struggling to develop the AI software that would enable humanoids to match the efficiency of human factory workers.

Experts said the skills on display during the half-marathon, while entertaining, do not translate to the widespread commercialization of humanoid robots in industrial settings, where manual dexterity, real-world perception and capabilities beyond small-scale, repetitive tasks are crucial.

China is seeking to become a global powerhouse in this frontier industry, and it has enacted a wide range of policies from subsidies to infrastructure projects to cultivate local firms.

The country's most-watched TV show, the annual CCTV Spring Festival gala, in February showcased China's push to dominate humanoid robots and the future of manufacturing.

That included a lengthy martial arts demonstration where over a dozen Unitree humanoids performed sophisticated fight sequences waving swords, poles and nunchucks in close proximity to human children performers.


Cisco to Asharq Al-Awsat: AI Boosts Wireless Network Value in Saudi Arabia

Cisco report shows wireless networks in Saudi Arabia are no longer just connectivity infrastructure, but a driver of business growth toward 2030 (Shutterstock)
Cisco report shows wireless networks in Saudi Arabia are no longer just connectivity infrastructure, but a driver of business growth toward 2030 (Shutterstock)
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Cisco to Asharq Al-Awsat: AI Boosts Wireless Network Value in Saudi Arabia

Cisco report shows wireless networks in Saudi Arabia are no longer just connectivity infrastructure, but a driver of business growth toward 2030 (Shutterstock)
Cisco report shows wireless networks in Saudi Arabia are no longer just connectivity infrastructure, but a driver of business growth toward 2030 (Shutterstock)

A new report by Cisco shows wireless networks in Saudi Arabia are no longer just a connectivity layer. They are a direct driver of performance and growth.

The study draws on responses from 6,098 decision-makers and technical specialists across 30 markets, including 106 organizations in the Kingdom, giving its local findings added weight in tracking shifts in digital work environments.

Networks create value

The numbers point to a clear shift. More than 83% of organizations in Saudi Arabia reported improved customer engagement after investing in wireless networks, while 78% saw gains in operational efficiency. Some 75% cited higher employee productivity, and 67% reported a positive impact on revenue.

The findings show organizations are treating wireless networks as a business driver, not a background support layer.

Tarik Al-Turki, director of solutions engineering at Cisco Saudi Arabia, said companies now expect wireless networks to do far more than connect users. They are being pushed to support artificial intelligence workloads, the Internet of Things, hybrid work, real-time collaboration, and always-on customer experiences.

Wireless networks, he said, have become a “strategic platform” that enables flexibility, innovation, and the scaling of digital services, in line with Saudi Arabia’s accelerating digital transformation.

Rising operational strain

The gains come with mounting pressure. The report highlights what Cisco calls the “AI paradox in wireless networks”, where artificial intelligence boosts returns but also raises complexity, security risks, and talent challenges.

All surveyed organizations in Saudi Arabia said wireless operations have grown more complex. Around 63% still spend most of their time fixing issues after they occur, while 86% reported visibility gaps that hinder effective Wi-Fi troubleshooting.

Al-Turki said the problem is not just scale, but how networks are run. Many organizations still rely on manual, reactive approaches, while modern wireless environments demand proactive management, AI-driven automation, and end-to-end visibility.

Modernization, he said, is not only about spending more, but about rethinking how networks are managed.

Security risks escalate

Security is a major concern. In Saudi Arabia, 84% of organizations said they faced at least one wireless-related security incident in the past 12 months.

About 60% reported financial losses, with 51% of that group saying losses exceeded $1 million. Some 35% said breaches involving IoT or operational technology devices caused disruptions.

These figures show wireless security is no longer a theoretical risk, but a direct operational and financial threat.

Al-Turki said vulnerabilities are expanding with the growth of AI, IoT, and operational technology. More connected devices mean a wider attack surface, especially in distributed and critical environments.

He said the challenge is compounded by limited visibility, uneven security enforcement, and unmanaged or weakly protected devices. He also warned of growing concerns over automated and AI-driven cyberattacks, which increase both the speed and complexity of threats.

Traditional perimeter-based security, he said, is no longer enough. Organizations need models built on segmentation, continuous monitoring, identity-based access, and rapid response.

Talent gap widens

The talent shortage is another pressure point. The report found 91% of organizations in Saudi Arabia struggle to hire specialized wireless networking professionals.

The impact is clear. Around 40% reported higher operating costs, while another 40% cited lower morale. Some 28% said the skills gap is limiting innovation.

The report noted that many specialists are shifting toward AI and cybersecurity roles, intensifying competition for talent needed to manage modern wireless environments.

Al-Turki said the gap reflects a deeper shift. Wireless teams are no longer focused only on connectivity, but must also handle automation, security, AI-driven operations, IoT and operational technology, and user experience.

The market, he said, lacks hybrid skill sets capable of operating across these areas. More advanced organizations treat wireless expertise as a long-term strategic capability, not a narrow technical role.

AI, solution and risk

The report does not present AI only as a source of complexity. It can also reduce it, if used within a clear operating model.

Al-Turki said AI adds value by reducing manual work, improving visibility, and shifting teams from reactive fixes to proactive management. That includes earlier detection of issues, faster root-cause analysis, improved network performance, and actionable insights before users are affected.

This matters given that 63% of organizations still rely on reactive processes, while 86% face visibility gaps.

Returns depend on execution

Al-Turki warned that adopting AI without a clear model can backfire, creating more tools, alerts, and complexity.

The report suggests AI’s value lies in how it is used, not simply in deploying it. Poor integration can turn a tool meant to simplify operations into a source of noise.

He said simplifying operations, strengthening security, and building skills are interconnected priorities that must move together.

The broader picture is clear. Wireless investments are delivering gains in engagement, efficiency, productivity, and revenue, but environments are becoming harder to manage, more exposed to risk, and more dependent on specialized skills.

Returns, the report shows, depend not just on connectivity and speed, but on an organization’s ability to turn wireless infrastructure into a stable, secure, and scalable platform.

In Saudi Arabia, wireless networks now underpin connected work environments, AI applications, IoT systems, and customer-facing digital services. They have moved from technical infrastructure to a core driver of performance.

But the report makes clear that deployment alone is not enough. Organizations must simplify operations, strengthen protection, and build the skills needed to manage networks that are now central to growth, resilience, and competitiveness.