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.”



Founder of Chinese Startup Spirit AI Says Robot Brains Set for 2027 Breakthrough

FILE PHOTO: The words "AI Artificial Intelligence," a keyboard and a robotic hand are shown in this illustration created on June 5, 2026. REUTERS/Dado Ruvic/Illustration/File Photo
FILE PHOTO: The words "AI Artificial Intelligence," a keyboard and a robotic hand are shown in this illustration created on June 5, 2026. REUTERS/Dado Ruvic/Illustration/File Photo
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Founder of Chinese Startup Spirit AI Says Robot Brains Set for 2027 Breakthrough

FILE PHOTO: The words "AI Artificial Intelligence," a keyboard and a robotic hand are shown in this illustration created on June 5, 2026. REUTERS/Dado Ruvic/Illustration/File Photo
FILE PHOTO: The words "AI Artificial Intelligence," a keyboard and a robotic hand are shown in this illustration created on June 5, 2026. REUTERS/Dado Ruvic/Illustration/File Photo

Humanoid robot brains are likely to achieve a breakthrough as soon as mid-2027, but their deployment in homes could take at least eight years as model development faces a data bottleneck, leading Chinese embodied AI firm Spirit AI said this week.

Despite impressive hardware advances allowing Chinese humanoids to sprint, dance and do backflips on command, Chinese robot firms are increasingly focusing on the software that determines robots' intelligence and their economic productivity in real-world settings.

"The brain is indeed the weakest link in the complete robotics stack," Gao Yang, co-founder and chief scientist of Spirit AI, told Reuters at its Beijing offices on Thursday.

An industry breakthrough comparable to ⁠OpenAI's landmark GPT-3.0 model, ⁠which powered ChatGPT, could come around mid-2027, said Gao. Spirit AI's robots have achieved a 90% success rate for simple tasks in structured living-room environments.

"The next one to two years mark the initial window for industrial applications. Two years from now, we'll see robots deployed in commercial service settings doing simpler tasks. Entering homes is far harder than both," said Gao, who is also an assistant professor of robotics at Tsinghua University.

Spirit AI ⁠currently has tens of its own Moz1 wheeled humanoid robots deployed on production lines at battery maker CATL and retailer JD.com, which is also an investor.

The 300-person startup has raised over $670 million since its 2024 founding, making it one of China's most rapidly capitalized embodied intelligence firms. It is currently valued at 20 billion yuan ($2.9 billion). Gao declined to comment on any plans for an initial public offering.

"Progress is extremely fast. When Spirit AI was founded, a robot could perform only one isolated task well, like pouring water or folding a piece of clothing," said Gao.

"Today, robots operate across large spatial areas and execute continuous complex workflows."

Difficulties remain in perfecting fine-motor actions like unscrewing a bottle cap ⁠and dealing with ⁠unseen tasks, he said. Spirit AI overwhelmingly relies on real-world data to train its robot brains instead of virtual simulations, which many competitors use to reduce model training costs.

"Simulators handle rigid bodies well, but flexible objects like deformable electric cables remain a problem," said Gao.

The company employs around 1,000 contractors nationwide using wearable data-collection equipment in households and on production lines.

Its Beijing offices include a robot data training center where a Reuters witness saw dozens of young people fitted with sensors who repeated motions like opening fridges, unlocking safes, and cutting vegetables with knives to train the humanoid robots.

In other robot-training facilities in China, operators may need to repeat a movement more than 50 times to get one "clean" movement with the required precision.

However, Spirit AI found that using "dirty data" with a more diverse range of motions enabled its models to improve faster, Gao said.


AI Doomsday Warnings Unlikely to Slow IPOs but Questions Linger

FILE PHOTO: AI (Artificial Intelligence) letters are placed on computer motherboard in this illustration taken, June 23, 2023. REUTERS/Dado Ruvic/Illustration/File Photo
FILE PHOTO: AI (Artificial Intelligence) letters are placed on computer motherboard in this illustration taken, June 23, 2023. REUTERS/Dado Ruvic/Illustration/File Photo
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AI Doomsday Warnings Unlikely to Slow IPOs but Questions Linger

FILE PHOTO: AI (Artificial Intelligence) letters are placed on computer motherboard in this illustration taken, June 23, 2023. REUTERS/Dado Ruvic/Illustration/File Photo
FILE PHOTO: AI (Artificial Intelligence) letters are placed on computer motherboard in this illustration taken, June 23, 2023. REUTERS/Dado Ruvic/Illustration/File Photo

Anthropic is expected to beat rival OpenAI to the public markets with a blockbuster IPO later this year despite recent doomsday warnings, but questions remain about their business models and whether regulators should step in.

Concerns about the safety of advanced artificial intelligence models escalated this month after an employee resigned from Anthropic while warning that the industry was "gambling with our lives", said AFP.

Jacob Coxon, who also previously worked at OpenAI, left Anthropic last week amid a flurry of support from his former colleagues, including one who voiced concern about a small probability that AI could cause humanity's extinction.

Last weekend, Anthropic's own CEO Dario Amodei called for AI development to slow down -- but didn't say anything about the IPO.

The fracas forms a backdrop for highly anticipated initial public offerings from both OpenAI and Anthropic.

It's unclear if, or how, either company will address theoretical doomsday scenarios in securities filings, though.

Companies are required to publicly disclose known business risks to investors prior to an IPO.

Anthropic could submit that document to the Securities and Exchange Commission (SEC) as early as this month.

"Are we to believe that there is something that's extremely dangerous that's hiding inside this company because this person that quit said it, and then it was amplified by a bunch of people" who still work there, All-In podcast co-host Chamath Palihapitiya said last week.

"If it's true... (investors) will demand an enormous discount," said Palihapitiya, a venture capitalist.

Altimeter Capital founder Brad Gerstner, who has shares in both OpenAI and Anthropic, downplayed the concerns this week, arguing that an IPO brings transparency for investors.

"Anthropic will IPO. The market knows how to price risk -- see SpaceX," Gerstner posted on X.

Elon Musk's SpaceX raised a record $85 billion in its June IPO, but its stock has lost around a quarter of its value since peaking at around $202 a share.

"There is huge appetite to invest in the AI leaders," Gerstner added.

- 'Ill-advised' -

How Anthropic's IPO performs will also set the tone for OpenAI's debut next year.

The stakes extend well beyond the two companies themselves, with tech giants including Microsoft, Amazon, Google and Nvidia holding significant stakes in the AI labs.

More broadly, the US economy is increasingly tied to the AI buildout, meaning the success or failure of these IPOs carries weight for the wider economy.

OpenAI CEO Sam Altman said this weekend that the company would delay its own IPO until 2027, citing safety concerns. It's an "ill-advised moment," Altman said.

Before the recent headlines over AI safety, Altman and executives at OpenAI had already signaled that they were in no hurry to go public this year.

The ChatGPT maker's dealmaking appears to be running full speed ahead, nonetheless.

OpenAI is in talks with investors about raising a new round of funding with a valuation of at least $1.2 trillion before it goes public, while Anthropic might seek a $2 trillion valuation in an IPO that could happen as early as October, according to various reports.

Leaders inside OpenAI have been concerned about investor skittishness, broad market uncertainty and SpaceX's underwhelming stock performance, according to media reports.

- 'Massive' -

Also weighing on executives' minds is a proposal by both companies to slow down development, given recent incidents involving AI technology going rogue.

OpenAI CFO Sarah Friar dismissed the idea that a slowing of pace in releasing state-of-the-art technology would impact the company's core business and revenue growth.

"Even if we stop today, the amount of intelligence that's available in the world is massive," Friar told CNBC on Tuesday.

Anthropic also pushed back on the idea that being safety-minded would compromise the IPO.

"I would say safety has been the core of who we are from the very beginning," Anthropic's head of policy, Sarah Heck, said at a Politico conference on Wednesday. "Our investors know that. Our customers know that."


Robots, Smart Technologies Take Center Stage at Saudi Industry Forum

Robots and smart technologies showcased at the Saudi Industry Forum 2026 at the Jeddah Superdome. (SPA)
Robots and smart technologies showcased at the Saudi Industry Forum 2026 at the Jeddah Superdome. (SPA)
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Robots, Smart Technologies Take Center Stage at Saudi Industry Forum

Robots and smart technologies showcased at the Saudi Industry Forum 2026 at the Jeddah Superdome. (SPA)
Robots and smart technologies showcased at the Saudi Industry Forum 2026 at the Jeddah Superdome. (SPA)

The robots and smart technologies showcased at the Saudi Industry Forum 2026 at the Jeddah Superdome attracted visitors, specialists, and investors interested in the latest industrial solutions and their role in improving production efficiency and factory competitiveness, the Saudi Press Agency said on Thursday.

The forum featured live demonstrations of industrial and service robots by national and international companies specializing in automation and smart manufacturing.

The robots demonstrated their ability to perform operational tasks with precision and speed, manage warehouses and production lines, and use artificial intelligence for data analysis and industrial process optimization.

Robotics and artificial intelligence were among the forum’s key themes, reflecting the growing adoption of innovative manufacturing technologies and Fourth Industrial Revolution solutions.

These technologies help build smarter, more efficient, and competitive factories in support of Saudi Vision 2030 and the Kingdom’s efforts to strengthen its position as a global industrial and logistics hub.