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Apartment prices in the capital rose 0.28 per cent in the week through May 11, up from 0.15 per cent a week earlier, marking the steepest gain since late January. The increase extended Seoul’s run of weekly advances to 67 weeks, while nationwide apartment prices rose 0.06 per cent, underscoring a widening gap between the capital and the rest of the country. All 25 districts in Seoul posted gains, with Gangnam returning to positive territory after a 12-week decline and jeonse prices also climbing 0.28 per cent.

The renewed strength has added pressure on policymakers before the Bank of Korea’s May 28 rate-setting meeting, the first under Governor Shin Hyun-song. The central bank held its base rate at 2.50 per cent in April, citing rising inflation pressures, weaker growth risks and financial-market volatility linked to the Middle East conflict. Shin has signalled that policy will remain cautious and flexible, with price stability and financial stability both central to the bank’s calculations.

Housing is becoming a harder constraint for monetary policy because Seoul’s property market has moved in the opposite direction from the broader economy. Growth has been facing pressure from external demand uncertainty, higher energy costs and weaker household spending, yet the capital’s housing market continues to draw buyers who expect limited supply and further rental increases. That combination reduces the room for rate cuts, as easier financial conditions could feed more leverage into an already expensive market.

Consumer inflation reached 2.6 per cent in April, the highest reading since July 2024, after rising from 2.2 per cent in March. Transport costs, housing and utilities were among the categories adding pressure, while oil-linked effects from the Middle East conflict have complicated the central bank’s effort to bring inflation back towards its 2 per cent target. A departing board member, previously seen as dovish, warned this week that inflation control should remain the bank’s priority even at the cost of weaker growth.

The property upturn is also being reinforced by South Korea’s jeonse system, under which tenants provide large lump-sum deposits instead of monthly rent. Tight supply of rental homes and rising jeonse costs have encouraged some households to shift towards buying, particularly in Seoul districts where demand remains resilient despite lending controls. Housing rental prices have been moving higher since early 2024, and rent carries significant weight within services inflation, making it a sensitive issue for both the central bank and fiscal authorities.

Government measures have so far produced uneven results. Authorities tightened trading rules in wealthy Seoul districts last year, including Gangnam, Seocho, Songpa and Yongsan, after speculation returned quickly when permit requirements were eased. They also moved to fast-track housing supply in the capital region, where limited available land and slow redevelopment approvals have kept pressure on prices. Apartment prices in Seoul climbed nearly 9 per cent in 2025 despite those interventions, leaving policymakers wary that demand-side restrictions alone may not be enough.

The latest move comes after a brief moderation linked partly to tax policy expectations. Earlier this year, the central bank said price increases in Seoul and surrounding areas had slowed under the government’s plan to end the temporary suspension of higher capital gains taxes on multiple-home owners. The rebound in May suggests buyers may be adapting to policy changes rather than retreating, particularly in areas where expectations of long-term scarcity remain strong.

Financial stability concerns remain central because household debt is closely tied to housing prices. South Korea’s mortgage market has long made the property cycle a major channel for monetary policy, and a renewed rise in Seoul apartments could encourage more borrowing at a time when real incomes remain under pressure. A stronger won and improved equity sentiment linked to semiconductor demand may ease some external strains, but they also add complexity by supporting domestic confidence.

Fiscal policy is moving in a more expansionary direction, supported by strong tax revenue from the artificial intelligence and semiconductor cycle. Fitch has said South Korea has room for active spending because chip-sector strength has improved the revenue outlook, while monetary policy may need to stay restrictive because of inflation risks. That divergence places greater responsibility on the central bank to prevent housing and price pressures from becoming embedded.

Economists led by Chetan Ahya have drawn a parallel with electric vehicles, where early policy support, component localisation and aggressive production expansion turned China from a fast follower into the world’s dominant exporter. Their research projects China’s share of global manufacturing could rise to 16.5 per cent by 2030, from about 15 per cent now, as advanced automation and embodied artificial intelligence move from demonstration projects into factory and logistics use.

The bullish case rests on China’s widening lead in humanoid robot production. Industry estimates show the country produced about 12,800 humanoid robots in 2025, close to 90 per cent of global output, though the market remains tiny compared with conventional industrial robotics. China also remains the world’s largest industrial robot market, accounting for more than half of global factory robot installations in 2024, with an operational stock above 2 million units.

That foundation matters because humanoid robots require the same manufacturing strengths that supported China’s rise in solar panels, batteries and electric vehicles: precision motors, sensors, actuators, batteries, control systems, machine vision and low-cost assembly. Local companies are building ecosystems around these components, while provincial governments are offering subsidies, industrial parks and procurement support to accelerate commercial deployment.

Beijing has identified humanoid robots as a strategic industry, setting targets for mass production and global leadership while integrating robotics into wider plans for artificial intelligence and advanced manufacturing. The 15th Five-Year Plan framework is expected to place AI-powered robots near the centre of industrial upgrading, although large-scale commercialisation is more likely toward the later part of the plan period than immediately.

The sector’s momentum has drawn major private capital. Start-ups such as Unitree, UBTech, AgiBot and Fourier Intelligence have moved quickly from stage demonstrations to pilot factory and warehouse deployments. Linkerbot, a fast-growing maker of dexterous robotic hands, is seeking a valuation of about $6 billion after building a strong position in high-degree-of-freedom robotic hands used in humanoids and industrial systems. Its modular products point to an important feature of the market: some of the earliest profits may come from components rather than complete humanoid machines.

Automakers and electronics groups are also moving into the field. Xpeng has said humanoid robotics could become a long-term investment area alongside electric vehicles, while other manufacturers are testing robots for inspection, sorting, materials handling and repetitive shop-floor tasks. The logic is clear. China faces an ageing workforce, rising labour costs in coastal manufacturing hubs and growing pressure from tariff barriers. A successful humanoid robotics industry could help preserve competitiveness even as low-cost labour advantages fade.

The export implications are broader than robot sales. If humanoids improve productivity in Chinese factories, they could lower production costs across electronics, machinery, appliances and consumer goods. That would reinforce the country’s position in global supply chains at a time when the United States, Europe and several Asian economies are trying to reduce dependence on Chinese manufacturing. It could also create a new export category in robots, components, software and maintenance services.

Yet the constraints remain substantial. Humanoid robots are still expensive, often have limited battery life and struggle with unstructured environments. Many can perform scripted tasks in controlled settings but fall short when asked to handle the speed, judgement and dexterity of human workers. Even executives in China’s robotics industry acknowledge that factory humanoids remain less efficient than people in many jobs. Safety certification, liability rules, data protection and workplace integration will also affect adoption.

Dependence on high-end chips and advanced software ecosystems is another weakness. US restrictions on AI semiconductors have pushed Chinese firms to localise more hardware, but training and deploying capable embodied AI systems remains compute-intensive. Without steady access to cutting-edge chips, progress may be uneven, particularly in models that require real-time perception, movement planning and continuous learning.

The three-day industry gathering at the Malaysia International Trade and Exhibition Centre runs from 5 to 7 May and is expected to draw more than 20,000 policymakers, manufacturers, suppliers, investors, researchers and technology specialists. Held under the theme “Transform Tomorrow”, the event is being staged in strategic partnership with Malaysia’s Ministry of Investment, Trade and Industry and the Malaysian Investment Development Authority.

The launch ceremony was officiated by Datuk Seri Johari Abdul Ghani, Malaysia’s Minister of Investment, Trade and Industry, with senior SEMI executives, MIDA leadership and global semiconductor company representatives in attendance. The programme places manufacturing scale-up, advanced packaging, intelligent manufacturing, sustainability and workforce development at the centre of discussions, reflecting the industry’s shift from pure capacity expansion to more resilient and geographically diversified ecosystems.

Malaysia enters the event with a strong base in electrical and electronics manufacturing, particularly assembly, testing and packaging. The country has long been a critical node for chip back-end operations, with Penang and Kulim playing key roles in outsourced semiconductor assembly and test activity. The policy focus is now moving further up the value chain into chip design, advanced packaging, automation, materials, equipment support and higher-value manufacturing services.

Datuk Sikh Shamsul Ibrahim Sikh Abdul Majid, chief executive officer of MIDA, said Malaysia was no longer positioning itself as a passive beneficiary of industry shifts. “The semiconductor industry is at an inflection point, and Malaysia intends to be at the centre of what comes next,” he said, pointing to the MADANI Economy Framework and the New Industrial Master Plan 2030 as policy anchors for a broader industrial upgrade.

The E&E sector secured RM28.5 billion in approved investments in 2025, underlining continued investor interest despite a more fragmented global trade environment. Malaysia’s broader semiconductor strategy is focused on supply-chain integration, stronger domestic enterprise capability and talent development, as the country seeks to build a deeper industrial base around its existing production strengths.

Ajit Manocha, president and chief executive officer of SEMI, said closer coordination across design, manufacturing, materials and supply chains had become essential as artificial intelligence, high-performance computing and advanced electronics reshape demand. He said SEMICON Southeast Asia was designed not only as a technology showcase but as a platform for partnerships that can support long-term industry growth and resilience.

The timing of the Kuala Lumpur event is significant. Global semiconductor sales are on course to approach $1 trillion in 2026, driven largely by demand for AI accelerators, memory, advanced logic, data-centre infrastructure, automotive electronics and edge devices. Monthly industry sales crossed $99 billion in March 2026, while first-quarter sales were sharply higher than the previous quarter, showing the scale of the current upcycle.

Capital expenditure is also accelerating. Spending on 300mm fab equipment is projected to rise to about $133 billion in 2026 and $151 billion in 2027, as chipmakers expand capacity for advanced logic and memory while governments push for more localised semiconductor supply chains. Yet Southeast Asia remains under-represented in new front-end fabrication plans compared with China, Taiwan, South Korea, Japan and the United States, leaving room for Malaysia, Singapore, Vietnam, Thailand and the Philippines to compete more aggressively for future investment.

SEMICON Southeast Asia 2026 features the Executive Leadership Summit, the MIDA Strategic Semiconductor Forum and Seminar, the Sustainability and Energy Summit, TechZoomers Challenge and TalentCONNECT. These sessions are designed to connect policy, capital, manufacturing capability and workforce planning, rather than treating the exhibition as a conventional trade fair.

The emphasis on talent is especially important. Semiconductor expansion is being constrained not only by investment cycles and export controls but also by shortages of engineers, technicians, automation specialists and materials experts. Malaysia’s challenge is to match global investor confidence with a skilled workforce capable of supporting advanced packaging, precision manufacturing and design-linked activity.

Bengaluru-based Pixxel and Sarvam have set out plans to build Pathfinder, a 200 kg-class orbital data centre satellite that would test whether artificial intelligence workloads can be processed directly in space rather than routed first through terrestrial cloud systems.

The mission, announced on 4 May 2026, is scheduled to reach orbit as early as the fourth quarter of 2026. Pixxel will design, build, launch and operate the satellite, while Sarvam will provide the artificial intelligence stack needed for training and inference on board. The partners describe the project as India’s first orbital data centre satellite, placing it at the junction of three strategic races: sovereign AI, commercial space infrastructure and the search for lower-latency computing systems.

Pathfinder is intended to carry data centre-grade graphics processing units alongside Pixxel’s hyperspectral imaging camera. That combination would allow the satellite to capture high-fidelity Earth observation data and analyse it in orbit using foundation models, instead of sending large volumes of raw imagery to ground stations for processing. The aim is to transmit insights rather than just data, cutting the time between observation and decision-making.

The approach could be valuable for environmental monitoring, agriculture, mining, resource management, disaster response and critical infrastructure tracking. Hyperspectral imaging can detect patterns invisible to conventional cameras by reading hundreds of spectral bands, making it useful for identifying crop stress, pollution, mineral signatures, water conditions and changes in land use. Adding on-board AI would make such systems faster and potentially more autonomous.

Pathfinder also reflects the pressure building around AI infrastructure. Data centres have become increasingly constrained by energy demand, land availability, cooling requirements and regulation. AI-focused facilities are especially power-intensive because training and running large models depend on specialised chips. Industry forecasts point to data centre electricity use crossing 1,000 terawatt hours by 2030, with AI workloads accounting for a growing share of consumption.

Orbital computing is being explored as one answer to that problem, though it remains technically difficult and commercially unproven at scale. Satellites can draw continuous solar power in certain orbits and process space-generated data close to its source. Yet the model must overcome radiation exposure, heat dissipation, launch costs, repair limitations, chip reliability, bandwidth management and the challenge of operating high-performance hardware in an environment far harsher than a ground-based server hall.

For Pixxel, the project marks a move beyond Earth observation into space infrastructure. The company has built its position around hyperspectral satellites and already operates Firefly satellites capable of capturing detailed environmental data. Pathfinder would test whether those sensing systems can be paired with in-orbit computing to create a more responsive intelligence layer.

For Sarvam, the mission extends its sovereign AI pitch beyond ground infrastructure. The company has focused on building language models and platforms designed for deployment in local contexts, including multilingual use cases. Running its models aboard an India-built satellite would give the company a high-profile demonstration of how AI sovereignty can include hardware location, data control and infrastructure independence, not just model development.

The announcement comes as global technology groups examine space-based compute. Google’s Project Suncatcher has explored satellite constellations fitted with AI accelerators and optical links, with prototype missions planned with Planet. Elon Musk has also spoken publicly about the possibility of data centres in orbit within the wider SpaceX and Starlink ecosystem. These ideas remain at an early stage, but they show that AI infrastructure is beginning to stretch beyond conventional cloud regions.

Domestic activity is also widening. Agnikul Cosmos and NeevCloud have explored related orbital infrastructure concepts, indicating that private space and compute companies see a possible market in distributed cloud systems that span Earth and orbit. Defence, climate intelligence, telecommunications and sovereign data processing are likely to be among the first areas of interest if the technology matures.

Pathfinder’s immediate importance lies less in replacing terrestrial data centres and more in validating whether orbit can host meaningful AI workloads. The satellite is expected to test power management, thermal control, real-time inference, data processing and model performance under operational space conditions. Success would give Pixxel and Sarvam a foundation for more advanced orbital compute systems, while failure would expose the engineering and economic limits of the concept.

The project also fits a broader shift in satellite design. Spacecraft have traditionally acted mainly as sensors and transmitters, collecting data for later analysis on Earth. Pathfinder points towards satellites that can interpret what they observe, prioritise what should be sent down and support faster decisions for governments and commercial users.

Commercial adoption will depend on cost, reliability and demand. Ground-based cloud systems remain cheaper, easier to maintain and vastly more scalable. Orbital compute will need to prove that its advantages — lower latency for space data, resilience, solar access and sovereignty — justify the complexity of placing advanced AI hardware in space.

For now, Pathfinder gives the space and AI sectors a test case with wider implications. It places Pixxel and Sarvam among early movers trying to turn satellites from data collectors into active computing nodes, while testing whether the limits facing AI infrastructure on Earth can be partly addressed above it.

The Google Cloud India AI Hub, being developed with AdaniConneX and Nxtra by Airtel, is designed as a gigawatt-scale private cloud and data centre network across three campuses near the port city. The investment is planned over 2026-2030 and marks Google’s biggest infrastructure commitment in the country, combining hyperscale computing, subsea cable connectivity and clean-energy-linked operations.

Andhra Pradesh Chief Minister N. Chandrababu Naidu laid the foundation stone for the project on April 28, 2026, alongside Union electronics and IT minister Ashwini Vaishnaw, state IT and HRD minister Nara Lokesh, Google global infrastructure vice-president Bikash Koley and senior representatives of Adani and Bharti Airtel. The project follows Google’s October 2025 announcement that Visakhapatnam would host its first gigawatt-scale AI hub in the country.

The development is expected to occupy about 600 acres across locations including Tarluvada, Rambilli and Adavivaram. State officials have projected the facility’s operational launch around September 2028, though large data centre campuses of this scale typically move through phased commissioning as power, cooling, network and security systems are completed.

Google’s plan goes beyond a conventional cloud facility. The hub is intended to support AI workloads for services such as enterprise cloud computing, consumer applications, advanced model deployment and data-intensive digital platforms. Its location on the east coast gives Visakhapatnam a strategic role in subsea connectivity, with plans for international cable landings that can improve bandwidth, reduce latency and strengthen links between India, Southeast Asia and global cloud regions.

AdaniConneX, the joint venture between Adani Enterprises and EdgeConneX, is expected to lead major elements of data centre construction and power-linked infrastructure. Nxtra by Airtel will support data centre development, fibre connectivity and cable landing infrastructure. Airtel’s existing telecom backbone and Adani’s energy and infrastructure capabilities give the project domestic execution partners at a time when AI infrastructure is becoming capital-intensive and geopolitically sensitive.

The project also fits into a wider policy push to reduce dependence on overseas compute capacity. Demand for AI infrastructure has expanded rapidly as startups, banks, telecom operators, public agencies and manufacturing groups test generative AI, automation and data analytics. Large language models and AI inference services require dependable access to graphics processing units, high-density power systems, liquid cooling, resilient connectivity and local data storage.

Visakhapatnam’s selection reflects Andhra Pradesh’s attempt to position itself as a technology and logistics corridor after years of competition from established hubs such as Bengaluru, Hyderabad, Chennai, Pune and the National Capital Region. The port city already has an industrial base, naval presence, road and rail connectivity and a coastline suited to cable infrastructure. The state government is banking on the Google project to attract hardware suppliers, energy providers, construction contractors, cloud specialists and AI startups.

Employment claims around the project have been ambitious, with state leaders citing the possibility of hundreds of thousands of direct and indirect jobs through construction, operations, supply chains and associated services. The more immediate employment impact is likely to come from civil works, electrical systems, fibre deployment, facility management, security and engineering support. Higher-skilled roles in cloud architecture, AI operations and chip-level systems may depend on how quickly local training pipelines are aligned with industry needs.

Power and water use will be closely watched. Gigawatt-scale data centres require enormous electricity supply and sophisticated cooling systems, making renewable energy procurement, grid stability and water stewardship critical. Google has said the project will be tied to a long-term clean energy strategy and community programmes covering water, skills, maritime trade modernisation and women-led businesses. Delivering on those commitments will be essential for public acceptance, especially as data centres worldwide face scrutiny over their environmental footprint.

The Union Minister for Electronics and Information Technology, Railways and Information and Broadcasting made the remarks at the ground-breaking ceremony of the Google Cloud India AI Hub in Visakhapatnam, a project carrying an estimated investment of $15 billion. The facility, planned with Adani ConneX and Airtel Nxtra, will include a 1GW hyperscale AI data centre, with about 600 acres allocated across Turluvada, Rambilli and Adavivaram in Andhra Pradesh.

Vaishnaw’s comments reflect a broader policy effort to shift India’s role from assembly-led electronics manufacturing to deeper participation in global technology supply chains. The government is seeking to build domestic capability across finished devices, modules, sub-modules, components, raw materials, tools and manufacturing machinery, a progression seen as essential for reducing import dependence and gaining a larger share of global production.

Mobile phones remain the strongest evidence of that transition. Electronics production has risen from about ₹1.9 lakh crore in 2014-15 to about ₹11.3 lakh crore in 2024-25, while electronics exports climbed from about ₹38,000 crore to about ₹3.3 lakh crore over the same period. Mobile phone production expanded from about ₹18,000 crore to roughly ₹5.5 lakh crore, and mobile phone exports rose from about ₹1,500 crore to nearly ₹2 lakh crore, making the category one of the country’s most visible export successes.

Smartphones have become a leading export product, with Apple, Samsung, Tata Electronics, Foxconn, Dixon Technologies and other manufacturers playing prominent roles in the production ecosystem. The shift has been supported by the Production Linked Incentive scheme for large-scale electronics manufacturing, which helped attract global brands and contract manufacturers to expand capacity. The sector’s next phase, however, will depend less on assembly incentives and more on the availability of components, precision engineering, skilled labour, predictable taxation and faster logistics.

The Google Cloud project adds a digital infrastructure dimension to this manufacturing agenda. Vaishnaw urged global technology companies, including Google, to consider manufacturing servers, GPUs and chips in the country, arguing that the domestic data centre boom could create demand for high-value electronics and advanced computing hardware. Visakhapatnam is being positioned as an artificial intelligence hub, with subsea cable links expected to improve global connectivity through routes connecting Australia, the Middle East, Europe, Africa and the United States.

Semiconductors are the most strategic part of the plan. The India Semiconductor Mission has already helped draw investment into assembly, testing, marking and packaging facilities, chip design centres and fabrication proposals. Approved projects across several states include packaging units, display driver chip capacity and compound semiconductor facilities. The sector remains capital-intensive and technologically demanding, and India is entering a field dominated by Taiwan, South Korea, the United States, Japan, the Netherlands and China. Timelines, execution quality and ecosystem depth will determine whether the country can move beyond packaging and design services into higher-value production.

The government’s target of building a $500 billion domestic electronics ecosystem by 2030-31 is ambitious. It requires not only export-led growth but also a domestic supplier base for printed circuit boards, camera modules, batteries, displays, sensors, connectors, power electronics and semiconductor materials. Without local component depth, headline export gains can mask high import content, limiting value addition and leaving manufacturers exposed to currency swings and global supply disruptions.

Industry executives have generally welcomed the policy focus but continue to point to operational challenges. High logistics costs, customs procedures, dependence on imported inputs, limited component clusters, power quality, land acquisition delays and uneven state-level implementation remain constraints. Global companies also compare India with Vietnam, Mexico, Malaysia and Thailand when allocating production, making policy certainty and execution speed critical.

Labour availability is one of India’s advantages. Electronics manufacturing has generated large-scale employment, including substantial hiring of young women in assembly lines and component facilities. This has helped states such as Tamil Nadu, Karnataka, Uttar Pradesh, Andhra Pradesh and Gujarat compete for investment. Yet sustained growth will require improvements in industrial training, factory housing, transport, safety standards and career progression, particularly as production moves from assembly to precision manufacturing.

Geopolitics has created an opening. Companies are diversifying supply chains because of trade tensions, tariff risks, pandemic-era disruptions and concerns over concentration in China. India’s democratic institutions, large market, engineering talent and improving infrastructure make it a credible candidate for “China plus one” strategies. The challenge is to convert interest into anchored manufacturing networks that include suppliers, tooling companies, testing labs, logistics providers and research partnerships.

Asian equities advanced sharply on Monday as artificial intelligence-linked chipmakers in South Korea and Taiwan drove regional benchmarks back towards record territory, erasing the losses triggered by the Iran war and restoring investor appetite for technology-heavy markets.

The MSCI Asia Pacific Index rose as much as 2.3 per cent on May 4, its strongest intraday gain since April 8, while the MSCI Asia Pacific excluding Japan Index climbed as much as 2.9 per cent. Benchmarks in South Korea and Taiwan, both heavily exposed to the semiconductor supply chain, gained more than 4 per cent each as investors moved back into companies seen as central to the global AI build-out.

The rally was led by the region’s dominant AI hardware suppliers, including Taiwan Semiconductor Manufacturing Co, Samsung Electronics and SK Hynix. These companies sit at crucial points of the AI infrastructure chain, from advanced foundry production to high-bandwidth memory chips used in data centres and graphics processors. Strong earnings from US technology groups have reinforced expectations that capital spending on AI servers, accelerators and cloud infrastructure will remain elevated through 2026.

TSMC has become the clearest symbol of that shift. The world’s largest contract chipmaker posted a 58 per cent jump in first-quarter net profit to a record level, supported by demand for AI processors, and guided second-quarter revenue to $39 billion to $40.2 billion. Its first-quarter revenue rose 35 per cent from a year earlier to about $35.7 billion, underlining the scale of orders tied to advanced computing.

Samsung’s semiconductor division also delivered a major earnings rebound, reporting 53.7 trillion won in operating profit for the first quarter on 81.7 trillion won in revenue. The group said memory sales were lifted by AI-related demand and tight supply, even as its mobile and display businesses faced margin pressure from higher component costs.

SK Hynix has benefited from its strong position in high-bandwidth memory, a category that has become central to AI accelerator performance. Demand from data centre operators and chip designers has pushed memory makers into long-term supply arrangements, with shortages expected to extend into 2027 as customers reserve capacity years ahead.

Taiwan’s broader market has also gained from the AI trade. The island’s economy expanded 13.69 per cent in the first quarter, its fastest annual pace in nearly four decades, supported by a surge in exports tied to AI hardware. Taiwan has overtaken Canada to become the world’s sixth-largest stock market by value, helped by TSMC’s rise and investor demand for companies embedded in advanced chip manufacturing.

Investor confidence has been strengthened by Nvidia’s expanding Asian supply chain. Its partners now span foundries, memory suppliers, electronics assemblers and companies linked to robotics and so-called physical AI. The shift has widened the rally beyond a handful of chip names, lifting component makers and specialist suppliers that provide substrates, packaging, power management and memory-related technologies.

The rebound also reflects a broader reassessment of geopolitical risk. The Iran war initially prompted investors to cut exposure to export-oriented and energy-importing markets, particularly those vulnerable to shipping disruptions and higher fuel costs. Yet the scale of AI-related earnings growth has helped offset those concerns, with funds favouring economies that are directly tied to semiconductor demand and less dependent on domestic consumption.

South Korea’s Kospi has been one of the year’s standout performers, supported by Samsung, SK Hynix and other technology exporters. Taiwan’s Taiex has also outperformed as investors price in continued demand for advanced nodes, AI servers and high-performance computing. The concentration of gains, however, has increased concerns that regional indices are becoming more dependent on a narrow set of semiconductor companies.

Valuations remain a key risk. Share prices in several AI-linked companies have risen faster than earnings forecasts, leaving markets exposed to any slowdown in capital expenditure by US cloud providers or delays in chip production. Memory supply shortages may support pricing in the near term, but they could also raise costs for downstream electronics makers and intensify competition among suppliers expanding capacity.

Currency movements have added another layer to the market response. A weaker won has supported earnings translation for South Korean exporters, while Taiwan’s market has drawn stronger foreign inflows on expectations that AI-linked exports will keep growth elevated. Japan’s yen strengthened during Monday’s regional trading, reflecting a mix of safe-haven demand and shifting expectations around monetary policy.

Laying the Foundation for Long‑Term Growth in Japan Through Seamless Customer Experiences and Trusted Local Expertise

TOKYO, JAPAN – Media OutReach Newswire – 4 May 2026 – Arrow Electronics (NYSE: ARW), a global technology solutions provider, today announced the integration of Chip One Stop’s e‑commerce capabilities into arrow.com, strengthening its omnichannel customer engagement in Japan. By bringing together Arrow’s global resources, supplier network, and digital tools with Chip One Stop’s trusted local expertise, the integration delivers a more seamless and consistent customer experience while laying a strong foundation for long‑term growth.

Through the integration on arrow.com, customers in Japan gain access to a single, scalable destination that continues to offer Japanese‑language support and local services, while expanding their access to Arrow’s broader ecosystem. Arrow’s Yokohama warehouse will continue to operate as an important logistics facility in Japan, supporting stable and efficient fulfilment. Eligible orders can typically be delivered within 24 hours in Japan and in many South Asian markets, with delivery timelines in other Asia‑Pacific countries varying by destination.

Electronic components and technology solutions are foundational to Japan’s manufacturing, innovation, and technology ecosystems. On arrow.com, customers can access an integrated interface that supports discovery, evaluation, transaction, and related services.

Arrow’s omnichannel engagement approach enables customers to seamlessly manage design, engineering, supply chain services, and fulfillment—helping speed time‑to‑market. Customers benefit from access to engineering expertise, reference designs, bill of materials (BOM) optimization, lifecycle management, and integration support to move from concept to production more efficiently. At the same time, real‑time pricing, inventory visibility, cost‑optimization tools, and advanced analytics enable smarter supply‑chain decisions, risk mitigation, and compliance for critical applications. A more agile digital foundation also supports faster response to urgent needs and evolving market conditions.

“This transition builds on the trusted relationships our customers value in Japan while expanding how we support them,” said Aiden Mitchell, Arrow’s chief growth officer, global semiconductor. “By combining strong local execution with Arrow’s global platform, we are well positioned as a trusted solution provider—supporting customers and suppliers from product inception through supply chain and go‑to‑market execution.”

As part of the integration, chip1stop.com has been retired, with e‑commerce operations now available on arrow.com as of May 4, 2026. Chip One Stop’s operations and services will be integrated into Arrow, with existing services continuing without interruption.

For more information, visit www.arrow.com.
Hashtag: #ArrowElectronics

The issuer is solely responsible for the content of this announcement.

About Arrow Electronics

Arrow Electronics (NYSE:ARW) sources and engineers technology solutions for thousands of leading manufacturers and service providers. With 2025 sales of $31 billion, Arrow’s portfolio enables technology across major industries and markets. Learn more at arrow.com.