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.”



Siemens Energy Trebles Profit as AI Boosts Power Demand

FILED - 05 August 2025, Berlin: The "Siemens Energy" logo can be seen in the entrance area of the company. Photo: Britta Pedersen/dpa
FILED - 05 August 2025, Berlin: The "Siemens Energy" logo can be seen in the entrance area of the company. Photo: Britta Pedersen/dpa
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Siemens Energy Trebles Profit as AI Boosts Power Demand

FILED - 05 August 2025, Berlin: The "Siemens Energy" logo can be seen in the entrance area of the company. Photo: Britta Pedersen/dpa
FILED - 05 August 2025, Berlin: The "Siemens Energy" logo can be seen in the entrance area of the company. Photo: Britta Pedersen/dpa

German turbine maker Siemens Energy said Wednesday that its quarterly profits had almost tripled as the firm gains from surging demand for electricity driven by the artificial intelligence boom.

The company's gas turbines are used to generate electricity for data centers that provide computing power for AI, and have been in hot demand as US tech giants like OpenAI and Meta rapidly build more of the sites.

Net profit in the group's fiscal first quarter, to end-December, climbed to 746 million euros ($889 million) from 252 million euros a year earlier.

Orders -- an indicator of future sales -- increased by a third to 17.6 billion euros.

The company's shares rose over five percent in Frankfurt trading, putting the stock up about a quarter since the start of the year and making it the best performer to date in Germany's blue-chip DAX index.

"Siemens Energy ticked all of the major boxes that investors were looking for with these results," Morgan Stanley analysts wrote in a note, adding that the company's gas turbine orders were "exceptionally strong".

US data center electricity consumption is projected to more than triple by 2035, according to the International Energy Agency, and already accounts for six to eight percent of US electricity use.

Asked about rising orders on an earnings call, Siemens Energy CEO Christian Bruch said he thought the first-quarter figures were not "particularly strong" and that further growth could be expected.

"Demand for gas turbines is extremely high," he said. "We're talking about 2029 and 2030 for delivery dates."

Siemens Energy, spun out of the broader Siemens group in 2020, said last week that it would spend $1 billion expanding its US operations, including a new equipment plant in Mississippi as part of wider plans that would create 1,500 jobs.

Its shares have increased over tenfold since 2023, when the German government had to provide the firm with credit guarantees after quality problems at its wind-turbine unit.


Instagram Boss to Testify at Social Media Addiction Trial 

The Instagram app icon is seen on a smartphone in this illustration taken October 27, 2025. (Reuters)
The Instagram app icon is seen on a smartphone in this illustration taken October 27, 2025. (Reuters)
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Instagram Boss to Testify at Social Media Addiction Trial 

The Instagram app icon is seen on a smartphone in this illustration taken October 27, 2025. (Reuters)
The Instagram app icon is seen on a smartphone in this illustration taken October 27, 2025. (Reuters)

Instagram chief Adam Mosseri is to be called to testify Wednesday in a Los Angeles courtroom by lawyers out to prove social media is dangerously addictive by design to young, vulnerable minds.

YouTube and Meta -- the parent company of Instagram and Facebook -- are defendants in a blockbuster trial that could set a legal precedent regarding whether social media giants deliberately designed their platforms to be addictive to children.

Rival lawyers made opening remarks to jurors this week, with an attorney for YouTube insisting that the Google-owned video platform was neither intentionally addictive nor technically social media.

"It's not social media addiction when it's not social media and it's not addiction," YouTube lawyer Luis Li told the 12 jurors during his opening remarks.

The civil trial in California state court centers on allegations that a 20-year-old woman, identified as Kaley G.M., suffered severe mental harm after becoming addicted to social media as a child.

She started using YouTube at six and joined Instagram at 11, before moving on to Snapchat and TikTok two or three years later.

The plaintiff "is not addicted to YouTube. You can listen to her own words -- she said so, her doctor said so, her father said so," Li said, citing evidence he said would be detailed at trial.

Li's opening arguments followed remarks on Monday from lawyers for the plaintiffs and co-defendant Meta.

On Monday, the plaintiffs' attorney Mark Lanier told the jury YouTube and Meta both engineer addiction in young people's brains to gain users and profits.

"This case is about two of the richest corporations in history who have engineered addiction in children's brains," Lanier said.

"They don't only build apps; they build traps."

But Li told the six men and six women on the jury that he did not recognize the description of YouTube put forth by the other side and tried to draw a clear line between YouTube's widely popular video app and social media platforms like Instagram or TikTok.

YouTube is selling "the ability to watch something essentially for free on your computer, on your phone, on your iPad," Li insisted, comparing the service to Netflix or traditional TV.

Li said it was the quality of content that kept users coming back, citing internal company emails that he said showed executives rejecting a pursuit of internet virality in favor of educational and more socially useful content.

- 'Gateway drug' -

Stanford University School of Medicine professor Anna Lembke, the first witness called by the plaintiffs, testified that she views social media, broadly speaking, as a drug.

The part of the brain that acts as a brake when it comes to having another hit is not typically developed before a person is 25 years old, Lembke, the author of the book "Dopamine Nation," told jurors.

"Which is why teenagers will often take risks that they shouldn't and not appreciate future consequences," Lembke testified.

"And typically, the gateway drug is the most easily accessible drug," she said, describing Kaley's first use of YouTube at the age of six.

The case is being treated as a bellwether proceeding whose outcome could set the tone for a wave of similar litigation across the United States.

Social media firms face hundreds of lawsuits accusing them of leading young users to become addicted to content and suffer from depression, eating disorders, psychiatric hospitalization, and even suicide.

Lawyers for the plaintiffs are borrowing strategies used in the 1990s and 2000s against the tobacco industry, which faced a similar onslaught of lawsuits arguing that companies knowingly sold a harmful product.


OpenAI Starts Testing Ads in ChatGPT

The OpenAI logo is seen in this illustration taken May 20, 2024. (Reuters)
The OpenAI logo is seen in this illustration taken May 20, 2024. (Reuters)
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OpenAI Starts Testing Ads in ChatGPT

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

OpenAI has begun placing ads in the basic versions of its ChatGPT chatbot, a bet that users will not mind the interruptions as the company seeks revenue as its costs soar.

"The test will be for logged-in adult users on the Free and Go subscription tiers" in the United States, OpenAI said Monday. The Go subscription costs $8 in the United States.

Only a small percentage of its nearly one billion users pay for its premium subscription services, which will remain ad-free.

"Ads do not influence the answers ChatGPT gives you, and we keep your conversations with ChatGPT private from advertisers," the company said.

Since ChatGPT's launch in 2022, OpenAI's valuation has soared to $500 billion in funding rounds -- higher than any other private company. Some analysts expect it could go public with a trillion-dollar valuation.

But the ChatGPT maker burns through cash at a furious rate, mostly on the powerful computing required to deliver its services.

Its chief executive Sam Altman had long expressed his dislike for advertising, citing concerns that it could create distrust about ChatGPT's content.

His about-face garnered a jab from its rival Anthropic over the weekend, which made its advertising debut at the Super Bowl championship with commercials saying its Claude chatbot would stay ad-free.