Home Blog Page 26

Next wave of cloud and AI adoption to drive demand for advanced servers

  • AI server shipments are forecast to grow by more than 20% in 2026, with AI servers accounting for an increased 17% share of overall server shipment.
  • AI server revenue is projected to grow by more than 30% in 2026, accounting for 74% of total server market value.
  • 2026 could mark the first time ASIC shipments surpass those of GPUs, gradually chipping away at NVIDIA’s dominance.

In the fast-evolving tech landscape of 2025 and beyond, the global AI server market is entering a fresh phase of expansion—driven by robust cloud spending and new heights in AI adoption.

According to TrendForce’s latest analysis, the world’s largest cloud service providers (CSPs) and the rise of sovereign cloud deployments will keep fueling demand for advanced servers.

The strong demand sets the stage for continued strength in both GPU and custom ASIC pull-ins, as AI moves from experimental phases into core business infrastructure for nearly every tech-forward corporation.

But behind these headline numbers are key shifts every executive should watch. While 2025 previously promised even higher growth, TrendForce has slightly tempered its forecast to about 24 per cent shipment growth.

Competitive landscape set for change

Supply chain realities—like US restrictions on NVIDIA’s H20 shipments to China and delays in new platform launches—have nudged forecasts down. Yet the opportunity remains enormous: new Blackwell full-rack platforms (GB200, GB300) are expected to lift AI server revenues by 48 per cent, thanks to their transformative performance and scalability.

Looking ahead, 2026 could prove even more pivotal. As GPU vendors pivot to integrated, rack-level solutions and cloud giants pour more capital into custom ASIC-based infrastructures, AI server revenue is projected to soar by over 30 per cent once again.

By then, nearly three-quarters of the total server market value will come from AI-centric machines—a dramatic shift that will reward innovative vendors and agile buyers alike.

But the competitive landscape is set for change. NVIDIA, the incumbent, still commands about 70 per cent of the AI chip market for now.

However, as North American and Chinese players ramp up efforts in custom ASICs, 2026 could mark the first time ASIC shipments surpass those of GPUs, gradually chipping away at NVIDIA’s dominance.

No less dramatic is the surge in demand for high bandwidth memory (HBM), the backbone for high-end AI chips. In 2025, HBM consumption is forecast to more than double, with rapid growth continuing into 2026—even after a 70 per cent jump in HBM demand.

The reason? The insatiable appetite for generative AI and the advance of memory-hungry platforms from Google, AWS, and third-party silicon innovators.

Executives and procurement teams have additional pricing dynamics to consider. Hot demand for HBM3e has pushed prices up by 5–10 per cent in 2025, but relief is on the horizon: by 2026, Samsung’s qualification will bring the market to a three-way supplier race, allowing buyers to regain bargaining power.

For those able to leap to HBM4, premium pricing (and profit margins) are expected to hold—at least until all memory majors clear qualification, which could reignite tough negotiations.

Investors favour Alphabet as big tech ramps up capital outlays for AI

  • The complexity and opacity of circular investments among major players have heightened this wariness.
  • Amazon will provide more clues about AI investment trends when it reports third-quarter results on Thursday.

Three of the largest US technology firms announced plans to sharply increase capital spending next year, but only Alphabet, Google’s parent company, saw its shares surge as investors weighed the costs and sustainability of competing in artificial intelligence.

Alphabet, Microsoft, and Meta each revealed higher annual capital expenditure targets, prioritising new investments in chips and data centres to power their AI ambitions.

While all three reported robust revenue growth, markets responded unevenly: Alphabet stock jumped 7.3 per cent after its upbeat report, while Microsoft and Meta fell 3 per cent and 7 per cent, respectively, in premarket trading.

The key differentiator

Alphabet has the ability to fund its aggressive investments with strong cash flow. In the third quarter, Alphabet spent $23.95 billion on capital expenditures—a sum equal to 49 per cent of its operating cash flow. By contrast, Meta and Microsoft spent 64.6 per cent and 77.5 per cent of their cash flow, respectively, raising red flags for investors worried about shrinking free cash flow.

With AI driving a wave of multi-billion-dollar deals—but little detail provided on AI’s direct contribution to revenue and profits—investors are becoming increasingly cautious. The complexity and opacity of circular investments among major players have heightened this wariness.

Nonetheless, tech executives remain resolute. Meta CEO Mark Zuckerberg acknowledged the risk of over-investing but said, “In the worst-case scenario, we’d see some loss and depreciation, but we’d grow into that and use it over time.”

Strong cash flow, analysts say, gives companies like Alphabet a greater ability to withstand lower short-term returns as they build up AI infrastructure.

Looking ahead, attention now turns to Amazon, a key cloud computing competitor, which will provide more clues about AI investment trends when it reports third-quarter results on Thursday.

Meta’s AI ambitions ignite capital spend surge

  • Alphabet, Microsoft, Amazon, and OpenAI are also scaling up, fueling concerns of an industry-wide AI bubble


Meta Platforms jolted investors with a bold forecast for “notably larger” capital expenditures in 2026, driven by an aggressive push into artificial intelligence.

The tech giant revealed that surging investments—primarily in new AI data centres—would fuel a sharp rise in costs as it races to close the AI gap with rivals Microsoft and Alphabet.

While Meta reported a robust 26 per cent year-on-year increase in third-quarter revenue that exceeded estimates, investor enthusiasm quickly faded as costs outpaced sales, jumping 32 per cent compared to last year. Shares, up 28 per cent year-to-date, tumbled 8 per cent in after-hours trading as Wall Street reacted to CEO Mark Zuckerberg’s expansive capital plans—moves expected to compress profit margins.

Betting big on superintelligence

Meta is now front-loading billions into expanding its AI computing infrastructure, eyeing “superintelligence”: the industry’s aspirational milestone where machines surpass human intellect. “There’s a range of timelines for when people think that we’re going to get superintelligence,” Zuckerberg told analysts.

“I think it’s the right strategy to aggressively front-load building capacity so that we’re prepared for the most optimistic cases.”
If the milestone is delayed, Meta plans to deploy the surplus computing power to accelerate its core businesses, adding flexibility to the strategy. But the immediate pressure is clear: the company upped its capital expenditure outlook for 2025 to $70–72 billion, from a prior floor of $66 billion.

Meta’s bottom line this quarter absorbed a near $16 billion one−time charge tied to President Trump’s “Big Beautiful Bill,” slashing reported net income to $2.71 billion. Strip out the charge, and net income would have reached $18.64 billion—demonstrating continued operating strength beneath headline numbers.

Market competition

Meta has doubled down on AI capabilities after a late start, recently reorganising its AI ambitions under the new “Superintelligence Labs” and snapping up top AI talent and Nvidia’s elite chips.

The push is already yielding returns: Meta’s AI-powered advertising platform allows marketers to automate campaigns, translate and generate content, and target segmented audiences at scale.
The AI data centre spending spree isn’t unique to Meta—Alphabet, Microsoft, Amazon, and OpenAI are also scaling up, fueling concerns of an industry-wide AI bubble.

OpenAI CEO Sam Altman recently set an eye-watering goal of building out 1 gigawatt of compute capacity every week—with each gigawatt costing over $40 billion. Cost pressures and the demands for future results are prompting tech giants to seek partnerships and scrutinise spending.

Meta’s platforms continue to dominate, with more than 3.5 billion people using at least one of its apps daily. The company is expanding monetisation, recently launching ads on WhatsApp and Threads, and challenging TikTok and YouTube Shorts with Instagram Reels.

For the current quarter, Meta forecasts revenue between $56–59 billion, bracketing analysts’ estimates and reinforcing its resilience despite escalating expenses.

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.