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
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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.”



Huawei Touts New Chipmaking Technology to Sidestep US Restrictions

The Huawei logo is seen at the Porte de Versailles exhibition center in Paris, France, June 12, 2025. (Reuters)
The Huawei logo is seen at the Porte de Versailles exhibition center in Paris, France, June 12, 2025. (Reuters)
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Huawei Touts New Chipmaking Technology to Sidestep US Restrictions

The Huawei logo is seen at the Porte de Versailles exhibition center in Paris, France, June 12, 2025. (Reuters)
The Huawei logo is seen at the Porte de Versailles exhibition center in Paris, France, June 12, 2025. (Reuters)

Chinese tech giant Huawei said on Monday it had developed a new way of making semiconductors that could get around its US-enforced lack of access to the most advanced chipmaking equipment.

Huawei has in recent years been at the center of a geopolitical standoff after Washington warned its equipment could be used for espionage by the Chinese government, an allegation the firm denies.

Sanctions since 2019 have cut Huawei's access to components and technologies made by the United States and some of its allies -- including the lithography machines used to make the world's most advanced chips.

But on Monday the head of Huawei's semiconductor division He Tingbo said that the company will be able to produce next-generation 1.4-nanometre (1.4nm) chips by 2031.

Taiwan's TSMC, the industry leader, has projected it will be able to do the same by 2028.

Cutting-edge chips that can train and power artificial intelligence systems are a crucial and highly sensitive element of the technology rivalry between the United States and China.

The computing power of chips has increased dramatically over the decades as makers cram them with more microscopic electronic components.

Huawei's announcement suggests it might have sidestepped the need for extreme ultraviolet lithography (EUV) machines, which have been considered crucial for mass manufacturing chips of 5nm or under.

"Over the past six years, I have often been asked... how did you survive and come back on top?" He said in a presentation to the International Symposium on Circuits and Systems (ISCAS) in Shanghai.

She said the new technique came about through a shift in how chipmaking has historically been conceptualized.

"Moore's Law" is a principle developed by Intel co-founder Gordon Moore which states the number of transistors -- devices regulating the flow of electricity -- on a chip doubles every two years.

A higher density of transistors results in a smaller chip or one the same size with faster processing power.

He on Monday proposed "the Tau Scaling Law", or "Her's Law", by which instead of optimizing for space, designers optimize for the time taken for the various elements making up a chip to communicate.

This overcomes a key challenge facing Moore's Law that Intel sums up as: "You can make something smaller and smaller and smaller... until you can't".

US sanctions have meant that "these challenges arrived earlier and are tougher" for Huawei, He said.

"Our solution is feasible and affordable. The performance of the new chip can fully compete with that of the other path," she said.

Huawei's next iteration of its Kirin chip, set to launch in the autumn, will be the first ever to fully adopt an architecture called "LogicFolding" based on the new principle, the company said.

The Tau Scaling Law "underscores the company's ambition to lead rather than follow in the global chip race", said George Chen, Partner and Chair of Digital Practice at The Asia Group.

"Even without a new product launch today, Huawei's intent is clear - and its trajectory will likely heighten US concerns."


More and More Plastic Surgeons Are Being Asked to Create an ‘AI Face’

Surgeons have noticed consistencies in the aesthetics of “AI face”. (Shutterstock)
Surgeons have noticed consistencies in the aesthetics of “AI face”. (Shutterstock)
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More and More Plastic Surgeons Are Being Asked to Create an ‘AI Face’

Surgeons have noticed consistencies in the aesthetics of “AI face”. (Shutterstock)
Surgeons have noticed consistencies in the aesthetics of “AI face”. (Shutterstock)

Plastic surgeons are increasingly concerned about the rise of “AI face”, as more and more clients arrive in their offices with unrealistic AI-generated visions of what they want to look like, according to The Guardian.

People using AI chatbots to generate their ideal faces are increasingly arriving at surgeons’ offices with briefs demanding flawless skin, sharply sculpted cheekbones, refined noses and near-perfect symmetry – standards that are too time consuming, prohibitively expensive and, in many cases, physically unattainable.

While AI can control every single pixel, “surgery certainly doesn’t work on that microscopic detailed level,” said Dr. Alex Karidis, a surgeon based in west London.

For many clients, however, those expectations are shaped long before they ever meet a surgeon. Karidis and Nugent describe how psychologically effective AI-generated images can be in defining – and reinforcing – clients’ aesthetic ideals.

Dr. Nora Nugent, a cosmetic surgeon from Tunbridge Wells, said: “Once you see an image, it’s wired into you.” Karidis agreed, describing AI images as being “seared” into patients’ minds, and said colleagues had recently been inundated with them.

Surgeons are also keen to emphasize that cosmetic surgery outcomes are far from guaranteed.

“The patient has to understand that there is human variation in how they heal, how they age and what can be done,” said Nugent. “I say to patients beforehand: it’s not limitless what I can do in surgery. Neither of us control everything.”

Surgeons have also noticed consistencies in the aesthetics of “AI face”, particularly hyper-symmetry – something AI can generate effortlessly, but which is often impossible to recreate in real life.

If one of your eyes is a few millimeters higher than the other, AI can alter that in seconds, according to Dr. Julian de Silva, a Harley Street cosmetic surgeon. But rearranging pixels is not the same as rearranging anatomy.

“It’s impossible to change [eye level] because that’s actually set in bone, and your brain sits behind the orbits. You cannot safely change the position of the orbits,” he said.

De Silva added that when AI edits a client’s photo, it frequently defaults to widely accepted beauty ideals: for women, a V-shaped jawline, a sweeping “ogee curve” along the cheekbones and a heart-shaped face; for men, broader jawlines, lower eyebrows and fuller upper eyelids.

But De Silva is also concerned about another growing trend: clinicians sharing surgery results on social media that appear astonishingly effective, but which he suspects may themselves be AI-generated.

“I remember looking at one of these last week and I looked at it over and over,” he said, recalling a video in which a patient appeared to have been made to look 30 years younger. “And then the third time I watched it, I could see ... the hands had six fingers.”


Hotels Strive to Be Found as AI Models Conduct Travel Search

The rise of AI to plan and book travel will force hotels to make themselves visible when people describe what type of room they would like. JOEL SAGET / AFP/File
The rise of AI to plan and book travel will force hotels to make themselves visible when people describe what type of room they would like. JOEL SAGET / AFP/File
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Hotels Strive to Be Found as AI Models Conduct Travel Search

The rise of AI to plan and book travel will force hotels to make themselves visible when people describe what type of room they would like. JOEL SAGET / AFP/File
The rise of AI to plan and book travel will force hotels to make themselves visible when people describe what type of room they would like. JOEL SAGET / AFP/File

With people increasingly adopting AI to help plan their vacations, hotels are working to make sure that you check them out -- and check in.

Whether using ChatGPT or AI-enabled travel sites like Layla.ai, it is already possible to pose search questions like: "Calm hotel with west-facing balcony" or "Charming hotel with spa that accepts dogs".

This simple switch to plain speech searches belies major technical changes that mean hotels have to learn to become visible to AI models, AFP said.

"We're in complete upheaval: last year 35 percent of French people used artificial intelligence to find a hotel, a cafe or a restaurant," said Nicolas Marette, founder of Cust place, a French company that helps firms optimize their digital presence.

According to a recent study by the Boston Consulting Group (BCG), around 37 percent of travelers are already using AI-enabled online travel sites to plan and book trips.

Hospitality industry players have taken notice.

A quarter of hospitality firms "have an AI strategy that is starting to produce real returns across multiple organizational activities", according to the BCG report.

"What a hotel needs to do to get well referenced by search engines is not the same thing that they need to do to get referenced by artificial intelligence," said Johanna Benesty at BCG.

Moreover, not all AI models "work in the same way," she added.

- Plain speech, elaborate task -

At French hospitality group Accor, which owns dozens of chains including Pullman, Sofitel, Mercure and Ibis, "we've been trying for a year already to understand how to make ourselves more relevant... and be more visible," the group's AI and data science chief Nicolas Maynard told a recent industry conference.

But that can be a challenge as AI users see fewer options, meaning securing a top ranking becomes even more critical.

"It's a big change: with Google a search gives you 50 results... while if you ask ChatGPT it will give you five" and that is it, Maynard added.

The switch to plain speech means big changes for hotels.

"The biggest challenge is to understand vague requests like 'I want a romantic hotel in the south'," Maynard said.

Because Accor's systems do not currently classify properties by such attributes, the group has its work cut out.

"We need to adapt our systems to take semantics into account," Maynard said.

- Hyper detailed -

But beyond semantics, AI will allow hotels to provide customers with a wealth of information.

Best Western France's director Olivier Cohn said he believed "what will make the difference is our ability to answer client questions more thoroughly".

Hotels could respond to even the most detailed client questions such as "knowing if there is a power socket on the left side of the bed because they are used to sleeping on that side of the bed and charging their devices", he said.

While such questions are simple in and of themselves, current systems and staff can struggle to answer in such detail, said Cohn, whose chain counts more than 4,000 hotels throughout the world.

Some hotels are already deploying AI chatbots to help answer simple guest questions, allowing staff to provide higher-value services.

But winning the referencing game isn't only up to the hotels themselves.

BCG notes that "algorithms elevate properties with comprehensive, high-trust, multisource information over those with sparse or inconsistent digital footprints", meaning that client descriptions and reviews will also be important.

But just like online travel agencies (OTA) charge commissions and offer premium service for a price, AI models are already beginning to do the same.

"The familiar OTA commission model will evolve into AI-era distribution fees, charged for prominence and relevance in algorithmic recommendations," the BCG report said.