Intel Just Rewired the Chip and the Rules of Artificial Intelligence

Intel introduced PowerVia, a design shift the company calls nothing less than a revolution. Photo: Intel
Intel introduced PowerVia, a design shift the company calls nothing less than a revolution. Photo: Intel
TT

Intel Just Rewired the Chip and the Rules of Artificial Intelligence

Intel introduced PowerVia, a design shift the company calls nothing less than a revolution. Photo: Intel
Intel introduced PowerVia, a design shift the company calls nothing less than a revolution. Photo: Intel

In the blistering heat of the Arizona desert, Intel staged a quiet revolution. At the Intel Technology Tour 2025 in Phoenix, the company didn’t just unveil new processors. It revealed a plan to rebuild the foundations of computing itself.

This wasn’t a spec-sheet update. It was the kind of pivot that comes along once in a generation, one that could rewrite how artificial intelligence is powered, trained, and trusted.

At this invite-only event, where Asharq Al-Awsat was the sole Arabic media presence from the Middle East, Intel showed off technologies that don’t merely shrink transistors but re-imagine how electricity and intelligence flow through silicon.

The Day Power Flipped
“For the first time in semiconductor history, we’re moving power delivery to the backside of the chip,” said James Johnson, Intel’s senior vice president and head of client computing, as he introduced PowerVia, a design shift the company calls nothing less than a revolution.

He wasn’t exaggerating. Instead of channelling energy through the maze of wires on top of a processor, PowerVia feeds it directly from behind, shorter paths, less resistance, fewer losses. The result: chips that run 30 percent more efficiently and 10 percent denser than before.

Paired with Intel’s new 2-nanometer RibbonFET transistors, the technology anchors Intel’s audacious roadmap: “Five nodes in four years.” By 2026, the company wants to reclaim the lead it ceded to TSMC and Samsung in advanced manufacturing.

“What we’re seeing,” said Stephen Robinson, one of Intel’s senior fellows, “is an unprecedented convergence between architectural innovation and manufacturing maturity.”

In other words, it’s not just about how small the chip gets, it’s about how smart it becomes.

Beyond the Shrink
For decades, the semiconductor race was about scale: who could pack more transistors into less space. But Robinson insists the game has changed.

“It’s no longer about shrinking the transistor,” he told Asharq Al-Awsat. “It’s about rethinking how every element works together to reach efficiencies no one’s seen before.”

Intel calls this philosophy System Technology Co-Optimization, or STCO. It’s engineering meets orchestration: physics, logic, and AI co-designed in a single loop. Think of it as turning the chip into a living ecosystem, not a static piece of silicon.

Robinson calls this moment a “once-in-a-lifetime opportunity” for the industry, a rare alignment of physics, data, and human ingenuity.

The AI Inside Everything
If the chip is the body, then AI is the brain now wired into it.

According to Thomas Petersen, Intel’s senior fellow for architecture and graphics, the company’s next move is about making every processor think collectively—a symphony of CPU, GPU, and NPU working as one organism.

“We’re designing processors to think together, not separately,” Petersen said.

“The days of each chip doing one job are over.”

The star of this new generation is Panther Lake, Intel’s 2026 platform for the AI PC. By weaving neural processing directly into the CPU, your laptop becomes a stand-alone AI engine, running tasks locally, instantly, and privately without the cloud on constant call.

“The goal isn’t just to get an answer from a smart model,” Petersen said. “It’s to get it instantly, privately, and with minimal energy. That’s the philosophy of the next intelligent computer.”

The shift marks a turning point from “assisted intelligence” to “active intelligence.” The PC won’t just help, it will collaborate. Users will work side-by-side with autonomous AI agents that analyze, plan, and respond in real time.

“We’re building chips that understand the meaning of data,” Petersen said, “not just calculate it.”

When AI Becomes a Colleague
At a session titled Gemini Enterprise AI, Intel described the next stage of enterprise computing: Agentic AI, systems that don’t just support humans but work alongside them.

“AI is no longer a tool,” said one speaker. “It’s a co-worker.”

Intel’s idea of Agentic Work Environments envisions teams of human employees and AI agents collaborating, making decisions, and even negotiating outcomes within secure, governed frameworks. The glue that holds it all together? Trust—not as a software patch, but as hardware architecture.

“Autonomous agents can behave unpredictably,” said an Intel security engineer. “That’s why trust must live in the silicon itself.”

To enforce that trust, Intel upgraded its Trusted Execution Environment (TEE) and hardware isolation systems, ensuring that AI models run inside encrypted, quarantined zones. In an era where synthetic content and model-to-model interaction are exploding, Intel sees this as the first line of defence in the new AI frontier.

Hyper-Connectivity: The Nervous System of AI
Fast intelligence is meaningless without fast connection.

At the “Wireless Innovations” session, Intel engineers previewed Wi-Fi 8, 5G Advanced, and early glimpses of 6G. It is a future where every connected device becomes a mini data center, processing information locally with near-zero latency.

“The edge,” said one network architect, “is the new frontier for AI. The next models won’t just live in the cloud; they’ll live in the world around us.”

That world includes the Middle East. From NEOM’s digital twins to autonomous transport grids across Saudi Arabia and the UAE, the region’s smart-city projects rely on the kind of ultra-low latency and reliability Intel is building into its chipsets and modems.

The New Metric: Sustainability
Even in a week obsessed with speed, sustainability was the quiet headline.
“Efficiency isn’t just performance per watt,” said Tim Wilson, Intel’s vice president of design engineering. “It’s responsibility per watt.”

Intel now recycles over 95 percent of its water, pursues zero-waste fabs, and designs chips that literally waste less power inside themselves. PowerVia doesn’t just make circuits cleaner, it makes computing greener.

“In the age of AI,” Wilson said, “sustainability isn’t optional. It’s a design constraint.”

That ethos mirrors the Middle East’s own goals: energy-efficient cities, renewable-powered data centers, and carbon-neutral digital growth under Saudi Vision 2030 and the UAE’s Net Zero agenda.

A New Connection with the Middle East
Though Phoenix was the stage, the conversation kept circling back to the Gulf.
Saudi Arabia is investing billions into AI, cloud infrastructure, and sovereign data centers laying the groundwork for a future semiconductor industry of its own. Intel, sensing the region’s momentum, has begun collaborating with Gulf universities and research labs on chip design and AI engineering.

A senior Intel official confirmed ongoing talks with sovereign wealth funds on potential partnerships for advanced packaging and local manufacturing projects.

The subtext: the Middle East isn’t a spectator in the AI race, it’s a stakeholder.

Making AI for Everyone
Perhaps the most radical idea at Phoenix wasn’t technical, it was social.

Intel wants to democratize AI. Through its Gaudi3 and Gaudi4 accelerators, the company is offering a low-cost alternative for training massive models up to 50 percent cheaper than rival platforms.

“AI shouldn’t be a luxury item,” an Intel executive said. “It should be like electricity, accessible, reliable, and sustainable.”

That principle could reshape emerging tech ecosystems, especially in places like Saudi Arabia, where national AI strategies hinge on local innovation. Affordable compute means universities and startups can train their own models, rather than rent power from global giants, a leap toward digital sovereignty.

The Hidden Infrastructure of Trust
As AI grows more autonomous, the question isn’t what it can do, it’s who decides what it should do.

Intel’s answer lies deep in the chip’s DNA.

“We used to protect data,” one Intel researcher told Asharq Al-Awsat. “Now we protect behavior. When models can make decisions, you need silicon that understands trust.”

The company is developing digital IDs for AI agents, encrypted model training, and physical data isolation layers, technologies increasingly vital for sectors like defence, energy, and finance.

In the Gulf, this vision echoes work by SDAIA, Saudi Arabia’s Data and AI Authority, which is crafting a national framework for AI governance and safety.

Both share the same core belief: trust isn’t a checkbox; it’s an engineering discipline.

A Legacy Reinvented
By the end of the Phoenix tour, one thing was clear: Intel isn’t just trying to win the AI race. It’s trying to redefine what leadership looks like in an era where machines think, learn, and act.

Intel sees itself as “the custodian of computing’s evolution” the thread connecting the first microprocessor to the age of autonomous intelligence.

“We stand at the intersection of physics, logic, and imagination,” Robinson said in his closing remarks. “That’s where the future of intelligence, human and artificial, truly lies.”

Petersen added a line that could have come straight from Wired’s own manifesto:

“The future of AI is too big to be locked behind closed walls. Our role is to empower everyone, from startups to governments to build on our technology.”



Saudi Arabia Leads Globally in Women’s AI Empowerment with Groundbreaking Initiatives

Saudi Arabia Leads Globally in Women’s AI Empowerment with Groundbreaking Initiatives
TT

Saudi Arabia Leads Globally in Women’s AI Empowerment with Groundbreaking Initiatives

Saudi Arabia Leads Globally in Women’s AI Empowerment with Groundbreaking Initiatives

The Kingdom of Saudi Arabia has made significant strides in empowering women in the data and artificial intelligence (AI) sectors, aiming to elevate their global competitiveness as part of Saudi Vision 2030.

Numerous initiatives have increased the participation of Saudi women in advanced technologies, with the Saudi Data and Artificial Intelligence Authority (SDAIA) offering specialized programs and workshops in partnership with global technology leaders, SPA reported.

In just one year, over 666,000 Saudi women received training in data and AI, positioning the Kingdom first globally in women’s AI empowerment, according to the 2025 AI Index by Stanford University. Key initiatives include the Artificial Intelligence Academy with Microsoft, the Generative AI Academy with NVIDIA, the "SAMAI" initiative (targeting one million Saudis in AI), and the development of a national data and AI curriculum for university students.

These programs have enhanced women's skills and facilitated their contributions to crucial sectors such as health, energy, and education.

SDAIA has created a supportive work environment for women through flexible digital infrastructure, enabling remote work and work-life balance. This commitment reflects the Kingdom's dedication to building a sustainable, data-driven economy, with Saudi women now playing vital roles in shaping the future of advanced technologies.


China Could See Widespread Use of Brain-Computer Tech in 3-5 Years, Expert Says

People cross a road in Beijing on March 6, 2026. (AFP)
People cross a road in Beijing on March 6, 2026. (AFP)
TT

China Could See Widespread Use of Brain-Computer Tech in 3-5 Years, Expert Says

People cross a road in Beijing on March 6, 2026. (AFP)
People cross a road in Beijing on March 6, 2026. (AFP)

China could see brain-computer interface (BCI) technology move into practical public use within three to five years as products mature, a leading BCI expert said, as Beijing races to catch up with US startups including Elon Musk's Neuralink.

Beijing elevated BCIs to a core future strategic industry in its new five-year plan released this week, placing it alongside sectors such as quantum, embodied AI, 6G and nuclear fusion.

"New policies will not change things overnight. I think after another three to five years, we will gradually see some (BCI) products moving ‌towards actual practical ‌service for the public," said Yao Dezhong, Director of ‌the ⁠Sichuan Institute of Brain ⁠Science, in an interview on Saturday on the sidelines of China's annual parliament meetings in Beijing.

TRIALS

A national BCI development strategy released last year aims for major technical breakthroughs by 2027 and for China to cultivate two or three world-class firms by 2030.

China is the second country to launch invasive BCI human trials. More than 10 trials are active, matching the US, while scientists plan to enroll more ⁠than 50 patients nationwide this year.

Recent high-profile trials have enabled ‌paralyzed patients and amputees to regain partial mobility ‌and operate robotic hands or intelligent wheelchairs.

The government has already integrated some BCI treatments into ‌national medical insurance in a few pilot provinces, and the domestic market is ‌projected to reach 5.58 billion yuan ($809 million) by 2027, according to CCID Consulting.

"China has many advantages in BCIs, such as its huge population, enormous patient demand, cost-effective industrial chain and abundant pool of STEM (science, technology, engineering and maths) talent," said Yao, who also ‌leads a key neuroinformatics research center under China's science and technology ministry.

Policies such as insurance integration and national standards aim ⁠to close the "huge" ⁠gap between scientific research, industry and clinical applications, he said.

"The path from experimental to clinical trials is quite long, and this remains a problem," he told Reuters, adding that many Chinese hospitals have established BCI research labs to speed up the process.

While US startups like Neuralink focus on invasive chips that penetrate brain tissue, Chinese researchers are developing invasive, semi-invasive and non-invasive BCIs with wider potential clinical use.

Semi-invasive BCIs, placed on the brain's surface, may lose some signal quality but reduce risks such as tissue damage and other post-surgery complications. Neuralink's surgical robot can insert hundreds of electrodes into the brain in minutes.

"This is a technical advantage, which I think is remarkable," said Yao, of Neuralink.

"(But) China is actually making very fast progress in this area now. In fact, Musk's direction is basically achievable domestically."


Questions over AI Capability as Tech Guides Iran Strikes

Artificial intelligence tools can also be found built into semi-autonomous attack drones and other weapons. ATTA KENARE / AFP
Artificial intelligence tools can also be found built into semi-autonomous attack drones and other weapons. ATTA KENARE / AFP
TT

Questions over AI Capability as Tech Guides Iran Strikes

Artificial intelligence tools can also be found built into semi-autonomous attack drones and other weapons. ATTA KENARE / AFP
Artificial intelligence tools can also be found built into semi-autonomous attack drones and other weapons. ATTA KENARE / AFP

The latest bout of fighting between the United States, Israel and Iran has seen AI deployed as never before to sift intelligence and select targets, although the technology's use in war remains hotly debated.

Different forms of artificial intelligence have reportedly been used to guide the Israeli campaign in Gaza and the capture of Venezuelan leader Nicolas Maduro in an American raid.

And experts believe the technology has helped select targets for the thousands of US and Israeli strikes on Iran since February 28 -- although exact uses have yet to be confirmed.

Today "every military power of any significance invests hugely in military applications of AI," said Laure de Roucy-Rochegonde of French think tank IFRI.

"Almost any military function can be boosted with AI," from "logistics to reconnaissance, observation, information warfare, electronic warfare and cybersecurity," she added.

AI tools can also be found built into semi-autonomous attack drones and other weapons.

But one of their best-known uses is in shortening the so-called "kill chain", the time and decision-making between detecting a target and striking it.

US forces use the Maven Smart System (MSS) built by Palantir, which the company says can identify and prioritize potential targets.

The Washington Post reported this week that Anthropic's Claude generative AI model has been integrated with Maven to boost the tool's detection and simulation capabilities.

Palantir and Anthropic did not respond to AFP's requests for comment.

AI algorithms "allow us to move much faster in handling information, and above all to be more comprehensive," said Bertrand Rondepierre, head of the French army's AI agency AMIAD.

The technology can sift through vast quantities of data, including "satellite images, radar, electromagnetic waves, sound, drone images and sometimes real-time video," he added.

Human control

AI's deployment in war poses a slew of moral and legal questions, notably on the extent of human control over their actions.

The debate was brought to the fore during the fighting in Gaza, where Israeli forces used a program dubbed "Lavender" to identify targets -- within a certain margin of error.

That application worked "because it covered a very limited area", de Roucy-Rochegonde said.

Israel also has a "mass surveillance system" that could feed data about the enclave's inhabitants into Lavender.

It seems less likely that such a system has been set up in Iran," she added.

"If something does go wrong, then who's responsible?" Peter Asaro, chair of the International Committee for Robot Arms Control (ICRAC), said in an interview with AFP.

The widely reported bombing of an Iranian school -- which authorities there say killed 150 people -- could be a case of mistaken AI targeting, he added.

Neither the United States nor Israel has acknowledged responsibility for the strike.

AFP was unable to reach the scene of the school to verify what happened there.

But the site was close to two facilities controlled by the Iranian Revolutionary Guard Corps (IRGC), Tehran's powerful ideological elite.

"They didn't distinguish it from the military base as they should have, (but) who is they?" he asked -- human or machine?

If AI was used, he argued that the key question is "how old was the data" used for the targeting, and whether the misdirected strike stemmed from "a database error".

Step by step

Rondepierre said that AIs "operating without anyone being in control" are "science fiction".

In France, at least, "military commanders are at the heart of the action and the design of these systems," he insisted.

"No military decision-maker would agree to use an AI if he didn't have trust in and control over what it's doing," Rondepierre added.

"They know what the risks involved are, what the capabilities of these systems are and what contexts they can use them in, with what level of trust."

Today was just the "beginning" on use of AI by the world's armed forces, said Benjamin Jensen of Washington-based think tank CSIS, who has taken part in tests of AI in military decision-making over the past decade.

The world's armies "haven't fundamentally rethought how we plan, how we conduct operations, to take advantage" of AI's capabilities, he added.

"It's going to take a generation for us to really figure this out."