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Amid US sanctions, China’s Huawei announces a breakthrough in semiconductor design

China's Huawei reveals chip design

Chinese technology giant Huawei Technologies has announced plans to develop advanced semiconductors that could rival some of the world’s most sophisticated chip technologies within the next five years, signaling China’s growing determination to overcome U.S. export restrictions and build an independent semiconductor ecosystem.

During a semiconductor symposium in Shanghai, Huawei outlined an ambitious roadmap targeting chip performance equivalent to 1.4-nanometre manufacturing processes by 2031.

The announcement drew attention across the global technology sector because China’s most advanced publicly known chip production capability currently sits around the 7-nanometre level, while 1.4-nm technology is expected to represent the cutting edge of global semiconductor manufacturing by the end of the decade.

Although Huawei did not release independent benchmark data to validate the claims, the roadmap reflects Beijing’s broader strategy to accelerate technological self-sufficiency amid mounting geopolitical competition.

U.S. Restrictions Reshape China’s Semiconductor Strategy

China’s push toward semiconductor independence intensified after Washington imposed sweeping export controls targeting advanced chip technologies.

The restrictions limited Chinese companies’ access to critical manufacturing tools, particularly extreme ultraviolet lithography systems and other technologies required to produce leading-edge chips.

These controls also affected Huawei directly.

In 2019, the company was placed on a U.S. trade blacklist that restricted access to American technology, software and chip supply chains.

The move forced Huawei into what executives later described as an “extreme survival mode.”

Unable to rely fully on foreign suppliers, the company accelerated internal semiconductor development efforts.

Industry analysts say Huawei’s latest announcement demonstrates how Chinese firms are adapting by exploring alternative methods rather than relying solely on traditional manufacturing advances.

The Shift Beyond Moore’s Law

At the center of Huawei’s strategy is a new concept it introduced called the Tau Scaling Law.

For decades, the semiconductor industry followed Moore’s Law, the principle that computing power increases as transistors become smaller and more densely packed.

However, engineers are now approaching physical limits.

Modern transistors have become so tiny that their dimensions are measured in just a few atoms, making further miniaturization increasingly difficult and expensive.

Huawei argues that future breakthroughs will depend less on shrinking components and more on improving how information moves through chips.

Tau Scaling focuses on reducing latency, shortening signal pathways and improving internal data movement.

Instead of relying entirely on smaller transistors, the approach aims to increase overall system efficiency.

Industry observers describe this as part of the global shift toward post-Moore computing architectures.

LogicFolding Architecture Targets Performance Gains

Huawei also introduced a new chip architecture called LogicFolding, which will become a key part of its future processors.

The company said LogicFolding works by reducing the physical distance electrical signals travel inside chips.

Shorter pathways can improve speed while reducing energy consumption and latency.

Huawei plans to introduce the technology first in future Kirin smartphone processors expected later this year.

The architecture is also expected to expand into the company’s Ascend AI chips and eventually into large-scale artificial intelligence clusters powering data centers.

These AI systems often involve hundreds or thousands of interconnected processors.

Improving communication efficiency between chips has become increasingly important as AI models grow larger and more computationally demanding.

Huawei believes LogicFolding could become one of the foundations of its next generation of computing products.

AI Boom Raises Strategic Importance

Huawei’s semiconductor ambitions come at a time when artificial intelligence is reshaping the global technology landscape.

AI computing has become one of the most strategically important sectors worldwide.

For China, advanced chips are now viewed as essential not only for economic growth but also for technological competitiveness and national security.

Huawei’s Ascend chip lineup has become increasingly important within China’s AI ecosystem.

The processors are being used to support domestic AI development as Chinese companies seek alternatives to foreign hardware.

Demand has risen sharply after export restrictions limited access to advanced processors from major U.S. suppliers.

Earlier this month, Nvidia CEO Jensen Huang acknowledged Huawei’s growing influence, stating that the American company had effectively lost much of China’s AI accelerator market.

That shift highlights Huawei’s expanding role as China’s leading domestic alternative.

Huawei’s Semiconductor Comeback

Huawei surprised global markets in 2023 when it launched its Mate 60 smartphone series featuring advanced 5G capabilities.

The devices were powered by processors produced with the help of Semiconductor Manufacturing International Corporation (SMIC), China’s largest contract chipmaker.

The achievement demonstrated that Chinese firms had made significant progress despite restrictions.

Huawei revealed that over the past six years its chip division has designed and mass-produced hundreds of processors using concepts tied to its Tau Scaling approach.

These chips support industries ranging from mobile devices to artificial intelligence computing.

The company’s internal semiconductor initiative reportedly became one of its most important survival projects after sanctions disrupted access to overseas technologies.

Market Reaction and Industry Response

Huawei’s announcement boosted optimism across China’s semiconductor sector.

SMIC shares rose following news of the company’s LogicFolding strategy.

Chinese chip manufacturers and equipment suppliers have seen increased investor interest in recent years as Beijing expands support for domestic technology development.

The government has prioritized semiconductor independence through investment programs, subsidies and industrial policies.

SMIC itself has begun investing in post-Moore technologies, including advanced packaging research.

Packaging innovations are becoming increasingly important as companies search for alternatives to traditional scaling.

Rather than relying only on smaller transistors, manufacturers are stacking, combining and integrating chips in new ways.

Challenges Remain Despite Progress

Despite the optimism, analysts caution that China still faces major obstacles.

Experts say achieving parity with global leaders involves more than transistor density alone.

Advanced semiconductor development also requires breakthroughs in thermal management, power efficiency, design tools and manufacturing consistency.

Cloud AI infrastructure presents particular challenges because powerful processors generate significant heat while consuming large amounts of electricity.

Industry analysts note that system integration remains difficult.

Developing the software ecosystem and design tools needed for entirely new architectures will also take time.

Huawei itself acknowledged these hurdles.

Executives cited overheating concerns and the need for next-generation design systems as major priorities.

Global Chip Race Enters New Phase

Huawei’s announcement reflects a broader transformation occurring across the semiconductor industry.

As conventional scaling slows worldwide, companies are increasingly exploring alternatives including chiplets, advanced packaging, AI acceleration techniques and system-level optimization.

For China, however, the stakes extend beyond technology.

Semiconductors have become a geopolitical battleground influencing trade, national security and economic power.

Huawei’s roadmap suggests Beijing intends to remain competitive despite external restrictions.

Whether the company reaches its 1.4-nm equivalent goal remains uncertain.

Yet the strategy itself signals a shift: rather than waiting for access to restricted technologies, Chinese firms are increasingly trying to build new pathways.

As global competition intensifies, the semiconductor race is no longer only about smaller chips — it is increasingly about who can redesign the future of computing first.

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Trump Renames AI “Super Intelligence” in Executive Order as Calls for Regulation Grow

By George Mensah 4 min read

President Donald Trump signed an executive order on Tuesday, Sept. 29, 2026, that renames artificial intelligence “super intelligence” across the federal government. The White House says the new term better describes what the technology can do. The order lands as critics press Washington for stricter limits on how fast AI develops.

What the order says

The executive order argues that current systems do “much more than imitate or automate discrete aspects of human intelligence.” It goes further in its central passage. “As these capabilities continue to improve, they increasingly represent not merely artificial intelligence, but a new era of Super Intelligence,” the text reads.

It adds that federal terminology “should reflect the transformative capabilities of these technologies and the limitless opportunities they create for the American people.”

Trump spoke to reporters after signing. “It’s not artificial, we all agree on that,” he said.

What agencies must do now

Every federal agency has to use the new term, or its short form “SI,” when it talks about the technology in public. That covers public communications, websites, reports and policy documents. If your local agency publishes an AI guidance page, expect it to change.

The order also gives Michael Kratsios, director of the Office of Science and Technology Policy, a defining role. He will decide whether the official definition of “super intelligence” should be modified or expanded. The order does not set a deadline for that decision.

A term that already means something else

The rename creates a vocabulary problem. In the AI field, super intelligence already refers to a specific kind of system, one that exceeds human cognitive ability in virtually every area of thinking. Nobody has built one. Researchers treat it as a future possibility, and much of the safety debate centers on it.

Under the order, federal documents will apply that label to chatbots, coding assistants and image generators that exist today. A reader who sees “SI” in a government report may assume the government is describing something far more advanced than what companies actually sell. Kratsios’s authority to modify the definition could narrow that gap, or it could widen it.

Timing and the push against regulation

The order follows a week of similar messaging. Trump began using the term at the U.N. General Assembly last week, where he pushed back on calls for tighter rules on the industry. He told world leaders that tech executives would build the right guardrails into their own models.

Concerns have grown since then. Worries about AI replacing workers keep rising. Recent reporting has also described rogue agents linked to a security breach involving Australia’s prime minister, and AI agents that accessed U.S. government websites. Some systems have also been used to start cyberattacks.

Trump has repeatedly called whistleblower warnings about weak oversight overblown and a “hoax.” He has said he will not slow AI growth. In his view, keeping American dominance in the technology is a national security matter.

The industry’s own safeguard

On the same day, tech executives signed a “morally binding” constitution on AI at the White House. Its terms ask companies to hire an independent external auditor. The auditor would check that models are “operating as intended.”

The document also asks companies to set up internal controls meant to stop models from hacking systems. A team would monitor those controls. That team would answer to an independent committee of the company’s board.

The wording matters here. “Morally binding” describes an obligation companies accept by choice. The reporting on the document does not describe fines, penalties or a government body that could enforce it. Whether outside auditors get real access to model internals, and what happens if one finds a problem, are open questions.

What the two actions have in common

The order and the constitution came out the same day, and they share a theme. Both keep the government’s role limited. The order changes what officials call the technology. The constitution leaves safety checks largely in company hands.

Supporters of that approach say it keeps American firms moving fast against foreign competitors. They argue that rigid rules written now could be out of date within a year. Critics say voluntary pledges have a weak record in other industries, and that a stronger name for the technology may make the public less cautious about it.

Neither side has settled the argument. What is clear is the direction of policy. The administration is choosing branding and industry commitments over new binding rules, at a moment when the documented incidents involving AI agents are piling up.

What happens next

Three things are worth watching over the coming weeks.

  • Kratsios’s definition. Any change to the official meaning of “super intelligence” will show how the administration wants the term understood.
  • Agency compliance. Federal sites and reports should begin switching to “SI” now that the order requires it.
  • The auditor provision. The industry constitution only matters if independent auditors are named, given access and allowed to publish what they find.

Congress has not yet responded to the order, and no agency has published a compliance timeline. Until Kratsios acts on the definition, “super intelligence” will mean one thing to researchers and something looser in federal paperwork.

Tech

Trump to Launch “AI Force” and Name AI Tsar Despite Safety Warnings

By George Mensah 4 min read

President Donald Trump says he will create an “AI Force” and appoint an artificial intelligence tsar, pushing back hard against a wave of warnings from researchers and industry leaders about the technology’s risks. In a social media post on Saturday, Trump said his administration “will not in any way hinder or stifle the growth” of the AI industry and rejected calls to slow development until stronger safeguards are in place. He gave no details on the AI Force’s structure or a timeline for when it would launch.

Trump frames AI as bigger than the internet

Trump described AI as a transformation on the scale of the Industrial Revolution. “AI is the next Industrial Revolution, or Internet, but will be even larger and more impactful, possibly as much as 25% of our Country’s GDP,” he wrote, adding that he wants the US to keep its lead over China in the field.

That competition now shapes much of the broader US-China relationship, with both countries pouring resources into advanced technology to gain an edge. The topic is expected to come up when Trump meets Chinese President Xi Jinping next week.

Trump also said his administration would rely on the existing criminal and civil justice system to go after anyone who uses AI for harmful purposes. He repeated his earlier position that warnings about AI’s dangers amount to a “hoax.”

Researchers raise alarms over catastrophic risk

Trump’s comments come amid mounting concern from current and former AI researchers. One has estimated there is a greater than 10% chance the technology could “kill all humans,” a claim that has unsettled parts of the industry and fueled calls for coordinated regulation.

Major AI labs are racing to build increasingly capable systems, including what they describe as superintelligence — AI that would exceed human intelligence across the board. Anthropic, OpenAI and Google, the companies behind Claude, ChatGPT and Gemini, have each disclosed security breaches or cases where their chatbots were used for what they called malicious activity.

Anthropic CEO Dario Amodei has called for the industry to slow down, proposing a coordinated deceleration, tighter regulation, and independent monitoring of how AI models are developed. Sam Altman of OpenAI and Elon Musk of xAI have both said they agree with Amodei’s recommendations.

Anthropic co-founder Jack Clark told the BBC that the industry may need a mandatory “kill switch” that a third party can verify, giving outside auditors a way to confirm AI systems can actually be shut down if something goes wrong.

Lawmakers weigh regulation as industry pushes back

These warnings have pushed US lawmakers to draft legislation targeting AI, but Altman argued this week that Washington has struggled to keep pace with how fast the technology is moving and how it should be regulated. Speaking at a conference in San Francisco, he said the public should trust AI companies to manage the risks themselves.

“The world should trust that we are going to do the right thing because it’s the right thing and we feel the magnitude of this,” Altman said.

That argument has not convinced everyone. In the UK, MPs and peers from across party lines have identified specific human rights risks tied to artificial intelligence and say current laws are not equipped to handle how quickly the technology is advancing. The Joint Committee on Human Rights has published a report calling for new legislation designed to “address the scale and seriousness” of these threats, adding pressure on governments to act faster than the industry itself seems willing to.

A widening gap between Washington and the industry’s critics

The contrast between Trump’s approach and the warnings from within the AI industry is stark. While Amodei, Clark and others are pushing for slower development and outside verification, Trump’s plan points toward expansion, with a dedicated federal structure and a senior official tasked with steering AI policy rather than restraining it.

Trump has not said who might serve as AI tsar or what authority the role would carry. He also hasn’t detailed how an “AI Force” would function, whether it would sit within an existing agency, or what its relationship would be to ongoing congressional efforts to draft AI legislation.

What’s clear is that the administration’s posture puts economic growth and competition with China ahead of the precautionary measures researchers and some AI company leaders are requesting. With Trump set to meet Xi next week and AI likely on the agenda, the coming weeks may offer a clearer picture of how the US plans to balance those competing pressures, both at home and internationally.

For now, the specifics remain open. No text or executive order describing the AI Force has been released, and it’s not yet known whether the initiative will move through Congress, come via executive action, or take some other form entirely.

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