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.”



China Is Closing in on US Technology Lead Despite Constraints, AI Researchers Say

 Visitors look at robots on display at robotics company Unitree's first retail store in Beijing in January 9, 2026. (AFP)
Visitors look at robots on display at robotics company Unitree's first retail store in Beijing in January 9, 2026. (AFP)
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China Is Closing in on US Technology Lead Despite Constraints, AI Researchers Say

 Visitors look at robots on display at robotics company Unitree's first retail store in Beijing in January 9, 2026. (AFP)
Visitors look at robots on display at robotics company Unitree's first retail store in Beijing in January 9, 2026. (AFP)

China can narrow its technological gap with the US driven by growing risk-taking and innovation, though the lack of advanced chipmaking tools is hobbling the sector, the country's leading artificial intelligence researchers said on Saturday.

China's so-called "AI tiger" startups MiniMax and Zhipu AI had strong debuts on the Hong Kong Stock Exchange this week, reflecting growing confidence in the sector as Beijing fast-tracks AI and chip listings to bolster domestic alternatives to advanced US technology.

Yao Shunyu, a former senior researcher at ChatGPT maker OpenAI ‌who was named ‌technology giant Tencent's chief AI scientist in December, ‌said ⁠there was a ‌high likelihood of a Chinese firm becoming the world's leading AI company in the next three to five years but said the lack of advanced chipmaking machines was the main technical hurdle.

"Currently, we have a significant advantage in electricity and infrastructure. The main bottlenecks are production capacity, including lithography machines, and the software ecosystem," Yao said at an AI conference in Beijing.

China has completed a working prototype of an extreme-ultraviolet lithography ⁠machine potentially capable of producing cutting-edge semiconductor chips that rival the West's, Reuters reported last month. However, the ‌machine has not yet produced working chips and may ‍not do so until 2030, people with ‍knowledge of the matter told Reuters.

MIND THE INVESTMENT GAP

Yao and other ‍Chinese industry leaders at the Beijing conference on Saturday also acknowledged that the US maintains an advantage in computing power due to its hefty investments in infrastructure.

"The US computer infrastructure is likely one to two orders of magnitude larger than ours. But I see that whether it's OpenAI or other platforms, they're investing heavily in next-generation research," said Lin Junyang, technical lead for Alibaba's flagship Qwen large language model.

"We, ⁠on the other hand, are relatively strapped for cash; delivery alone likely consumes the majority of our computer infrastructure," Lin said during a panel discussion at the AGI-Next Frontier Summit held by the Beijing Key Laboratory of Foundational Models at Tsinghua University.

Lin said China's limited resources have spurred its researchers to be innovative, particularly through algorithm-hardware co-design, which enables AI firms to run large models on smaller, inexpensive hardware.

Tang Jie, founder of Zhipu AI which raised HK$4.35 billion in its IPO, also highlighted the willingness of younger Chinese AI entrepreneurs to embrace high-risk ventures - a trait traditionally associated with Silicon Valley - as a positive development.

"I think if we can improve this environment, ‌allowing more time for these risk-taking, intelligent individuals to engage in innovative endeavors ... this is something our government and the country can help improve," said Tang.


Brew, Smell, and Serve: AI Steals the Show at CES 2026

German group Bosch presented its fully automated 800 Series coffee machine (sold from $1,700) that can be synchronized with Amazon's Alexa voice assistant. Thomas URBAIN / AFP
German group Bosch presented its fully automated 800 Series coffee machine (sold from $1,700) that can be synchronized with Amazon's Alexa voice assistant. Thomas URBAIN / AFP
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Brew, Smell, and Serve: AI Steals the Show at CES 2026

German group Bosch presented its fully automated 800 Series coffee machine (sold from $1,700) that can be synchronized with Amazon's Alexa voice assistant. Thomas URBAIN / AFP
German group Bosch presented its fully automated 800 Series coffee machine (sold from $1,700) that can be synchronized with Amazon's Alexa voice assistant. Thomas URBAIN / AFP

AI took over CES 2026, powering coffee machines to brew the perfect espresso, a device to create your perfect scent, and ball-hitting tennis robots that make you forget it's human against machine.

Alexa, make me an espresso

German group Bosch presented a new feature for its fully automated 800 Series coffee machine (sold from $1,700) that can be synchronized with Amazon's Alexa voice assistant, said AFP.

After a short night's sleep, users can order a double espresso with voice commands only, and the coffee maker will deliver. Some 35 different espresso options are available.

"We're one of the first manufacturers to really lean in with AI," explained Andrew de Lara, spokesperson for Bosch.

The century-old company, positioned at the high end of the market in the United States, wants to gradually bring AI into the kitchen, notably through its Home Connect mobile app, which already allows users to control several appliances remotely.

Scent of AI

South Korean company DigitalScent has developed a machine, already available in some airports, that creates a personalized fragrance based on your mood and preferences.

Once you have picked your preferences, it releases a scent that gives you an idea of the final result. You can then make adjustments before making your final decision.

Once you have placed your order, the machine uses AI to produce a virtually unique fragrance in a matter of seconds, choosing from a range of over 1,150 combinations.

The fragrance is contained in a small, portable vial, costing $3 to $4, according to a spokesperson.

Game, set, AI

Several start-ups unveiled new-generation ball machines powered by artificial intelligence.

While Singapore-based Sharpa already offers a convincing humanoid table tennis robot with a reaction time of just two hundredths of a second, there is no equivalent on the market for tennis.

A few days ago, China's UBTech posted a video online of its Walker S2 robot playing rallies with a human, but at a slow speed and without any real movement.

UBTech's robots are designed for industrial use rather than tennis courts and, in all likelihood, the video was produced solely to demonstrate the agility of the Walker S2 to attract business customers.

While we wait for the humanoid robot that can volley at the net, another Chinese company, Tenniix, is marketing a robot that sends balls at speeds of up to 75 miles per hour (120.7 kilometers per hour).

It has 10 different shots, some with spin, and even a lob that reaches eight meters high.

The basic version, which can hold up to 100 balls, will set you back $699, but the most complete version, at $1,600, includes cameras and wheels that allow it to move around.

The fast-moving machine uses AI to analyze the trajectory of your cross-court forehand and fires off a ball from about where a real-life return shot would most likely come, giving the player the impression of a real rally.

"There's a real rhythm," says Run Kai Huang, spokesperson for Tenniix, "as if you were playing with a real person."


Award-Winning Game Studio Chief Rules Out AI Art

AI (Artificial Intelligence) letters and robot hand are placed on computer motherboard in this illustration created on June 23, 2023. (Reuters)
AI (Artificial Intelligence) letters and robot hand are placed on computer motherboard in this illustration created on June 23, 2023. (Reuters)
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Award-Winning Game Studio Chief Rules Out AI Art

AI (Artificial Intelligence) letters and robot hand are placed on computer motherboard in this illustration created on June 23, 2023. (Reuters)
AI (Artificial Intelligence) letters and robot hand are placed on computer motherboard in this illustration created on June 23, 2023. (Reuters)

The head of Larian Studios, the developers behind 2023's game of the year "Baldur's Gate 3", has vowed to ban any use of AI art in the outfit's upcoming project "Divinity".

The intervention by Swen Vincke follows repeated episodes of fan outrage over AI art in games in recent months -- with this year's game of the year winner "Clair Obscur: Expedition 33" stripped of its Indie Game Awards wins over alleged use of generative AI.

"There is not going to be any GenAI (generative AI) art in 'Divinity'," Vincke said Friday in an "Ask Me Anything" session on discussion site Reddit.

Fans had blasted Larian last month after Vincke told Bloomberg some generative AI was being used during development.

"We already said this doesn't mean the actual concept art is generated by AI, but we understand it created confusion," Vincke posted on Friday.

"To ensure there is no room for doubt, we've decided to refrain from using GenAI tools during concept art development," he added.

Vincke had said in December that the team's use of generative AI was "to explore references, just like we use Google and art books... at the very early ideation stages".

The new "Divinity" -- revealed to great fanfare at the December 11 Game Awards in Los Angeles -- is hotly awaited by gamers enthralled by the sprawling story and engaging characters of "Baldur's Gate 3", which has sold more than 20 million copies.

Despite his commitment on AI art, Vincke said that generative AI "can help" with other aspects of development, as studios "continuously try to improve the speed with which we can try things out".

He insisted that would benefit gamers through "a more focused development cycle, less waste, and ultimately, a higher-quality game".

Some executives believe generative AI's infusion into the industry will lead to a flowering of more ambitious titles that cost less to produce.

But they are running up against artists' fears that they will be pushed out of work and some gamers' concern that AI use will make for blander, less creative work.

French title "Expedition 33" saw its Indie Game Awards titles including "game of the year" withdrawn last year over some AI-generated art assets, which developers Sandfall Interactive insists were placeholders that it replaced in an update to the final game.