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KIMM’s breakthrough ushers in a new era of wearable robotics

  • With scalable production now a reality, offering lucrative opportunities for manufacturers, healthcare providers, and end-users alike.
  •  Industry stakeholders are watching closely as commercialisation efforts ramp up—and as wearable robots move from prototypes to everyday tools on job sites and in clinics worldwide.
  • A major breakthrough from the Korea Institute of Machinery and Materials (KIMM) is poised to reshape the global wearable robotics industry.
  • Automated weaving of ultra-light SMA-based fabric muscle enables mass production, powering the first wearable robot that assists three joints simultaneously.

KIMM’s Advanced Robotics Research Centre, led by Principal Researcher Dr. Cheol Hoon Park, has unveiled the world’s first automated system for mass-producing “fabric muscle”—a lightweight, flexible actuator technology designed for next-generation clothing-type wearable robots.


The new technology relies on ultra-thin shape memory alloy (SMA) coil yarn—just 25 microns in diameter, four times thinner than a human hair. By replacing a traditional metallic core with a natural fiber core and optimising both the actuator’s design and the weaving machinery, KIMM has overcome previous barriers to mass production.

The result: highly uniform, durable fabric muscle that is strong enough for industrial use yet light and flexible enough for daily wear.

Performance and market potential

A single 10-gram strip of this fabric muscle can lift loads up to 15 kilograms, a performance leap that positions it as a central component for wearable robots across industries. Previous wearable assistive devices have been hampered by heavy, noisy motors and limited adaptability, restricting them mostly to rigid, single-joint assistance.

In contrast, KIMM’s new fabric muscle enables comfortable, full-day wear and synchronised support for multiple joints—including the shoulder, elbow, and waist.

This technical edge has already led to world-firsts:

  • A clothing-type wearable robot weighing under 2 kilograms, capable of reducing user muscle effort by over 40% during repetitive tasks.
  • An ultra-light shoulder-assist device, just 840 grams, developed specifically for patients with muscular ailments such as Duchenne muscular dystrophy. Clinical trials with Seoul National University Hospital showed patients’ shoulder mobility improve by more than 57%.

Commercialisation and societal impact

KIMM’s automated weaving system lays crucial groundwork for scaling up production. As a result, wearable robots that once seemed costly or impractical for mass adoption are now within reach for sectors ranging from healthcare and rehabilitation to logistics and construction. The potential benefits are far-reaching:

  • Reduced workplace injuries and fatigue.
  • Greater independence for patients and those with muscle weakness.
  • Alleviated burdens for caregivers and healthcare professionals.

Dr. Park emphasised the broad vision, stating, “Our development of continuous mass-production technology for fabric muscle will significantly improve quality of life in fields such as healthcare, logistics, and construction. We aim to accelerate commercialisation and lead the global wearable robotics market.”

How enterprises in Asia Pacific are racing ahead with AWS

  • Asia Pacific is rapidly emerging as a leader in enterprise transformation.
  • Many enterprises are turning to AI and the cloud to become more agile and resilient.

Enterprises across Asia Pacific, facing intensifying competition and complicated regulatory landscapes, are making bold moves to modernise their business operations. At the centre of this transformation is the AWS cloud ecosystem.

According to a new 2025 research report from Information Services Group (ISG), companies are no longer dabbling in digital—they’re leaping forward.

Michael Gale, ISG’s regional leader, observed firsthand, “Many enterprises here are turning to AI and the cloud to become more agile and resilient. Asia Pacific is rapidly emerging as a leader in enterprise transformation.”

From experimentation to scalable AI

The past year marked a turning point. Where once AI projects were experiments locked away in innovation labs, now solutions like Amazon Bedrock and SageMaker are integral to how business gets done.

Financial services firms tweak their customer engagement with GenAI; manufacturers optimize supply chains using machine intelligence. For many, AI has shifted from a sidekick to the main engine driving decisions and customer experience.

Building the technology backbone is no trivial feat. Companies are blending public clouds (like AWS) with their own legacy systems, creating hybrid environments that maximize the best of both worlds.

“We need flexibility, but also control,” explained a CIO at a leading logistics firm—echoing a sentiment heard from Tokyo to Jakarta. Enter the era of multicloud, as organizations seek to avoid vendor lock-in while automating and orchestrating operations at scale.

Evolving partnerships

This complexity brings new demands. As technology environments become more intricate, companies look to AWS service partners not just for setup, but for ongoing care—managing, securing, and optimizing vast digital estates. Providers are expected to be more than vendors; they’re trusted partners, almost extensions of internal IT teams. The old ways of hands-on cloud management are fading, giving way to sophisticated, autonomous operation models.

“Enterprises today want more than basic support,” notes Srinivasan P N, ISG’s lead analyst. “Top providers are focusing on high-value services that drive innovation and experimentation.”

The landscape is competitive. ISG’s report, which evaluated 39 leading service providers, crowned Accenture, Capgemini, Cognizant, DXC Technology, HCLTech, TCS, and Wipro as leaders across all quadrants—from managed services to AI and SAP workloads on AWS. Other standouts include PwC, Tech Mahindra, and Infosys, each staking leadership in multiple areas.

Can Orange turn its scale into higher value per user rather than just more users?

  • French telecom operator to pursue acquisition opportunities in France and Spain.
  • Orange will need to ensure transparent partner models, open APIs, and consistent wholesale access.

It was a crisp autumn morning in Paris when Orange’s CEO, Christel Heydemann, stepped into the boardroom with more than numbers on her mind. The world’s telecom landscape was changing fast, and so was Orange.

Just a decade ago, Orange had been seen as just another connectivity provider—pipes and signals, mobile and broadband. But by late 2025, the French telecom powerhouse was transforming on two continents, chasing a vision where digital services and platforms mattered more than mere network cables.

The pulse of Orange’s business was beating most strongly in Africa and the Middle East. There, the hum of 4G towers, the buzz of new fintech apps, and the clink of digital coins changing hands told a different story than Europe’s margin-squeezed markets.

In the third quarter, Orange’s revenues in the region soared by 12.2%. Analysts watched mobile data usage leap by 18.1% and cheered as Orange Money became a daily tool for 44 million people, helping communities leapfrog into the digital future. For many in these markets, Orange wasn’t just a brand; it was a gateway to online banking, entrepreneurship, and opportunity.

Riccardo Amati, an industry observer from the UK’s Mobile Ecosystem Forum, described it best: “Africa offers Orange not just growth, but a chance to lay the rails for entire digital ecosystems.”

Challenges at home

Meanwhile, back in France, the scene was less exuberant. Home revenue sagged 3.7%, weighed down by shrinking wholesale business and fewer device sales. Instead of seeing obstacles, Orange saw possibilities in scale. The company spearheaded a bold €17 billion move to acquire parts of Altice France—parent company of SFR. While Altice rebuffed the bid, Orange and its partners weren’t giving up.

The promise?  A reshaped telecom landscape in France, bigger players and new ground for bundled digital offerings.

Riccardo Amati from Mobile Ecosystem Forum
Riccardo Amati from Mobile Ecosystem Forum.

Chief Financial Officer Laurent Martinez reassured investors: Orange had the balance sheet to chase consolidation, not just in France but across Spain as well.

Orange’s story wasn’t just about growing bigger; it was about evolving. CapEx was up 8.3%—funds flowing into fiber, mobile towers, and cutting-edge services. Customers were following: 16 million with fiber-to-home, over 100 million on mobile contracts.

 “We have just passed the symbolic threshold of 300 million customers worldwide,” Heydemann announced proudly.

But the real transformation was cultural. Orange was shifting from pure pipes to platforms—setting the tracks so that others (from fintechs to content creators) could build new services on top.

Amati put it plainly: “In Africa and the Middle East, entrepreneurs should see Orange as a partner for innovation. In France, everyone must think bigger: not just an app, but services that straddle both home and mobile networks.”

Yet, not all was smooth sailing. Investments were heavy, competition fierce, and margin pressures a constant shadow. The big question: Could Orange turn its scale into greater profit per customer, not just more customers?

“The plan is credible. But will it create enough value per user?” Amati mused. Orange’s openness—its willingness to share APIs, to work transparently with partners, to foster not just networks but entire ecosystems—would decide the outcome.

Still, the numbers told their own story. Modest revenue growth, robust subscriber increases, and the quiet confidence of a company betting that tomorrow’s telecom winner won’t just connect people, but empower whole digital communities.

Orange’s team knew the next act of their story had only just begun. The foundation was there—the rails laid—for a new digital ecosystem. Now, it was up to the world’s builders to seize the opportunity.

Apple slashes iPhone Air production amid tepid demand

  • Production orders, starting in November, will be less than 10 per cent of the volume compared with September.

Apple is scaling back production of its recently launched iPhone Air, after disappointing sales revealed a consumer preference for devices with robust cameras and longer battery life over ultra-thin design.

The move, reported by Nikkei Asia on Wednesday, marks a rare retreat for the tech giant, which had positioned the iPhone Air as its boldest smartphone design in years.

According to sources cited by Nikkei, Apple will reduce iPhone Air production orders to nearly “end of production” levels, with volumes beginning in November expected to fall below 10 per cent of what was produced at launch in September.

“Production orders, starting in November, will be less than 10 per cent of the volume compared with September,” one supplier told the publication. The decision comes just weeks after the iPhone Air’s launch in China and amid weak demand in major markets outside China.

No demand for iPhone Air

Launched at a starting price of $999, the iPhone Air stands out as the thinnest iPhone ever at just 5.6 mm thick—slimmer than a pencil—and weighs less than any iPhone since the 2020 iPhone 12 mini. It carries a 48−mega pixel rear camera, matching the main camera found in Apple’s other flagship models, the iPhone 17 and iPhone 17 Pro.

However, despite Apple’s claim of “all−day” battery life, the iPhone Air’s battery performance lags behind those higher−end models, prompting Apple to design a $99 MagSafe battery accessory to extend usage up to 40 hours.

Market signals have been clear: the iPhone Air has remained immediately available for shipment on Apple’s website in all configurations, while both the iPhone 17 and iPhone 17 Pro have seen shipping delays of two to three weeks due to strong demand.

A recent survey by KeyBanc Capital Markets found “virtually no demand for iPhone Air, and limited willingness to pay for a foldable.” The research further noted that AI features, despite prominent mentions in Apple’s marketing, have yet to influence buying decisions.

Apple’s struggles with the iPhone Air parallel challenges faced by competitors. Samsung reportedly halted production of its Galaxy S25 Edge and canceled future models in the line after the device sold only 1.31 million units as of August—significantly fewer than its more conventional siblings, which garnered sales of up to 12.18 million units in the same period.

Meta cuts 600 jobs in AI restructuring, pursues $27b data centre project

  • Job reductions affect several teams, including Facebook Artificial Intelligence Research, as well as product-oriented AI and AI infrastructure groups.
  • Company expects leaner team would streamline decision-making and increase both the scope and impact of individual roles.

Meta Platforms announced that it will cut roughly 600 positions from its Superintelligence Labs division, as the company seeks to make its artificial intelligence (AI) operations more nimble and responsive amid intensifying competition in the tech sector.

The job reductions affect several teams, including Facebook Artificial Intelligence Research (FAIR), as well as product-oriented AI and AI infrastructure groups.

However, the recently established TBD Lab—comprising a select team of researchers and engineers developing Meta’s next-generation foundation models—will remain unaffected, the company confirmed. The restructuring was first reported by Axios, citing an internal company memo.

Chief AI Officer Alexandr Wang explained that a leaner team would streamline decision-making and increase both the scope and impact of individual roles.

“Fewer team members will streamline decision-making and increase the responsibility, scope and impact of each role,” said Wang, according to the memo. Meta added that affected employees are being encouraged to apply for other roles within the organisation.

The move follows a broader realignment of Meta’s AI efforts, which were consolidated under the Superintelligence Labs umbrella in June after leadership changes and lackluster feedback for its open-source Llama 4 model. CEO Mark Zuckerberg has personally championed a significant recruitment drive to invigorate Meta’s AI capabilities.

Data centre expansion

In tandem with its AI restructuring, Meta on Tuesday announced a landmark $27 billion financing deal with Blue Owl Capital, marking the company’s largest-ever private capital arrangement.

The funds will support Meta’s biggest data center project to date—a cornerstone for its expanding AI infrastructure. Industry analysts note the deal will allow Meta to pursue its substantial AI objectives by shifting much of the cost and investment risk to external investors, while Meta retains a minority stake in the project.

Superintelligence Labs comprises Meta’s foundational and product teams, FAIR, and the new TBD Lab which aims to develop the company’s next wave of AI systems. Meta’s commitment to AI dates back to 2013, when it launched the FAIR unit under AI pioneer Yann LeCun, laying the groundwork for a global research network with deep learning at its core.

Meta’s latest moves underscore its determination to maintain a leading edge in AI while balancing innovation with operational discipline.

IBM cloud growth slows, but AI-powered mainframe drives Q3 results

  • IBM’s cloud business, led by its Red Hat hybrid cloud unit, saw sales growth slow to 14% in the third quarter, down from 16% in the previous period.

IBM reported mixed third-quarter results, with slowing cloud software growth raising caution among investors—even as surging demand for the company’s new AI-optimised mainframe systems helped push sales and profits above Wall Street estimates.

Shares of the technology giant fell 5 per cent in after-hours trading, reflecting investor concern over decelerating momentum in IBM’s cloud business, which is a linchpin of its long-term growth strategy as enterprise customers adopt more AI-driven solutions.

Cloud momentum cools

IBM’s cloud business, led by its Red Hat hybrid cloud unit, saw sales growth slow to 14 per cent in the third quarter, down from 16 per cent in the previous period.

While this segment was expected to be a primary beneficiary of rising AI adoption and the broader shift to cloud services, the moderation in growth overshadowed the company’s better-than-expected revenue of $16.33 billion, which surpassed analysts’ consensus forecast of $16.09 billion.

Chief Executive Arvind Krishna sought to reassure investors, stating during the company’s post-earnings call that Red Hat’s growth is expected to return to “mid-teen percentage levels”—or close to it—by 2026.

Despite a roughly 30 per cent rally in IBM shares so far this year, the stock’s premium valuation has made expectations particularly sensitive. The company trades at a forward price-to-earnings multiple of nearly 24, notably higher than the roughly 18 times forward earnings for key rival Accenture.

AI mainframe business surges

Offsetting these cloud concerns, IBM’s infrastructure segment—which includes its new mainframe systems—posted revenue growth of 17 per cent to $3.56 billion. The mainframe, built with chips tailored for AI applications, has seen particularly strong adoption in the financial services sector, which values the platform’s ability to maintain strict data residency and encryption standards while enabling AI development, according to Chief Financial Officer Jim Kavanaugh.

IBM’s AI-related business activities grew to $9.5 billion, up by $2 billion in just one quarter—further underscoring robust customer interest in generative AI and legacy modernisation.

Looking ahead, IBM raised its full-year outlook, forecasting revenue growth to exceed 5 per cent at constant currency. This is a slight increase from the company’s earlier projection of at least 5 per cent growth, reflecting confidence in strong AI-driven demand even as software growth faces headwinds.