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Huang is expected to meet Taiwan Semiconductor Manufacturing Company chairman and chief executive C. C. Wei as Nvidia prepares a second-half production ramp for Vera Rubin, the next-generation platform that combines new Vera CPUs, Rubin GPUs, advanced memory and high-speed networking for rack-scale AI systems. The visit has drawn close attention because Nvidia’s product cycle is now tied more tightly than ever to Taiwan’s foundries, packaging houses, server assemblers and component suppliers.

Nvidia reported revenue of $81.6bn for the quarter ended April 26, up 85 per cent from a year earlier, with data-centre revenue reaching $75.2bn, up 92 per cent. The company also authorised an additional $80bn in share repurchases and raised its quarterly dividend to 25 cents a share from 1 cent, underscoring the scale of cash generation from the AI infrastructure boom.

Demand is being driven by cloud providers, AI model developers, enterprise customers and sovereign AI projects, all seeking clusters capable of training and running larger generative and agentic AI systems. Nvidia has described the buildout of “AI factories” as one of the largest infrastructure expansions in technology history, with its platform spanning chips, networking, systems software and reference designs for data centres.

Vera Rubin is expected to follow the Blackwell and Grace Blackwell generation, which is still being shipped in high volumes. That overlap is creating pressure across Taiwan’s supply chain because new capacity must support existing commitments while preparing for a platform with different requirements in advanced packaging, high-bandwidth memory integration, board assembly, cooling and system validation.

Huang has described Vera Rubin as potentially the biggest product ramp in Nvidia’s history and one of the largest technology manufacturing efforts Taiwan has handled. Industry estimates around the platform point to millions of parts across each system and the involvement of well over 100 Taiwan-based ecosystem partners, from chip fabrication and advanced packaging to printed circuit boards, power systems, connectors, thermal modules and final server integration.

TSMC remains central to the effort because Nvidia depends on its leading-edge process technology and advanced packaging capacity. The challenge is not limited to wafers. CoWoS and other packaging technologies have become strategic bottlenecks as AI accelerators require multiple logic dies, high-bandwidth memory stacks and dense interconnects. Any delay in packaging expansion can ripple through server production schedules, cloud deployment plans and Nvidia’s revenue timing.

Taiwan’s broader technology sector has become a critical artery for the global AI trade. TSMC, Foxconn, Quanta, Wistron, Wiwynn, Inventec and a dense network of specialist suppliers are competing to add capacity while dealing with constraints in land, power, water, skilled labour and equipment availability. The concentration gives Nvidia speed and engineering depth, but also exposes the company to geopolitical and operational risks.

China remains the clearest commercial setback. Huang has said US export controls have pushed Nvidia’s share of China’s advanced AI chip market to zero, a striking reversal for a company that once held a dominant position there. The restrictions have strengthened the opening for Huawei and other domestic suppliers, while leaving Nvidia dependent on whether Washington and Beijing allow compliant chips to be sold without triggering national-security objections.

That loss has not slowed Nvidia’s global momentum, but it has changed the composition of growth. Revenue is now increasingly concentrated in markets where hyperscale cloud companies, enterprise AI developers and governments are building large AI data centres outside China. For investors, the question is whether demand can keep absorbing each successive architecture at the scale implied by Nvidia’s guidance.

Nvidia forecast revenue of about $91bn for the current quarter, above market expectations, signalling that orders for AI infrastructure remain strong despite concerns about overcapacity, power shortages and the pace at which customers can monetise AI services. Operating expenses rose 49 per cent to $7.75bn, reflecting the growing cost of research, supply commitments and ecosystem investments needed to sustain the company’s lead.

Invest Qatar’s delegation, led by its chief executive Sheikh Ali bin Alwaleed Al-Thani, held executive-level meetings, site visits and closed-door business discussions with Chinese companies across advanced manufacturing, life sciences, industrial technologies and digital platforms. The engagements included WuXi Biologics, Shanghai SUS Environment, Cainiao Group and Ant International, placing the tour at the intersection of Qatar’s diversification agenda and China’s strengths in biotechnology, logistics, environmental services and digital finance.

The visit was designed to present Qatar as a platform for regional expansion, with Invest Qatar highlighting support for market entry, regulatory coordination, site selection, expansion planning and aftercare services. The pitch reflects Doha’s effort to move beyond energy-led ties and attract capital, technology and operational expertise into sectors linked to the Third National Development Strategy and Qatar National Vision 2030.

China already occupies a central place in Qatar’s external economic network. Bilateral cooperation spans energy, logistics, manufacturing, technology and financial services, while Qatar hosts about 520 Chinese companies. Over the 2017-2026 period, China has ranked among Qatar’s top 10 sources of foreign direct investment, with 59 projects generating more than $3bn in capital expenditure and creating more than 3,200 jobs across multiple sectors.

The Shanghai and Hangzhou programme signals a more targeted approach by Qatar’s investment promotion authorities. Rather than broad promotional activity, the delegation focused on companies that fit Qatar’s priority clusters. WuXi Biologics brings relevance to life sciences and contract research, Shanghai SUS Environment operates in waste-to-energy and environmental infrastructure, Cainiao Group is a major logistics and supply-chain player, and Ant International strengthens the digital payments and fintech dimension of the outreach.

Energy remains the anchor of Qatar-China economic relations. China is Qatar’s largest trading partner, with bilateral trade reaching $24.22bn in 2024. China exported goods worth about $4.17bn to Qatar and imported about $20.05bn, led by liquefied natural gas and industrial helium. Qatar is also China’s second-largest source of LNG imports, reinforcing the strategic weight of the relationship at a time when Asian demand remains central to global gas markets.

QatarEnergy’s expansion strategy has further tightened industrial links with China. Long-term LNG supply arrangements linked to the Chinese market, together with major vessel orders placed with Chinese shipbuilders, have created a broader commercial ecosystem around the North Field expansion. Qatar aims to raise LNG production capacity from 77mn tonnes a year to 142mn tonnes by 2030, a target that will require shipping, engineering, financing and downstream partnerships across Asia.

The investment outreach comes as Gulf states increasingly seek to use energy relationships as a foundation for wider economic cooperation with Asia. For Qatar, China offers scale, capital depth and technology capacity. For Chinese groups, Qatar provides political stability, strong transport connectivity, free-zone infrastructure and access to Gulf, African and South Asian markets.

Doha is also seeking to position itself as a business base for companies navigating a more fragmented global trade environment. Regulatory certainty, a relatively high-income market, advanced digital infrastructure and a sovereign investment ecosystem give Qatar tools to compete for regional headquarters, specialised manufacturing and services projects. The challenge will be converting exploratory meetings into project commitments in sectors where regional competition is intense, particularly from Saudi Arabia and the UAE.

Financial services form another important strand of the relationship. Qatar Investment Authority’s moves in China’s asset management sector and broader Gulf interest in Asian financial markets point to a shift from passive portfolio exposure towards more strategic investment channels. That trend could support new capital-market links, fintech partnerships and investment vehicles connecting Doha and Chinese financial centres.

The latest Invest Qatar tour also reflects a diplomatic-economic strategy that has become more visible across Asia. Qatar has sought to deepen ties with major economies while keeping its partnerships diversified across the United States, Europe, China and other Asian markets. This balancing approach allows Doha to pursue commercial opportunities while avoiding excessive dependence on any single investment corridor.

For Chinese companies, Qatar’s offer is strongest where national development goals align with corporate expansion plans. Life sciences companies can tap healthcare investment and research partnerships, logistics operators can link into Hamad Port, Hamad International Airport and regional re-export networks, and digital platforms can benefit from a market that has been investing in cashless payments, cloud services and smart-city infrastructure.

Recent Google search trends in Thailand show continued growth in interest for both asset classes. Gold trading-related searches such as “XAUUSD today” have consistently generated between 1,000 and 10,000 monthly searches over the past year, while cryptocurrency-related keywords including “crypto” have maintained similarly strong search volumes.

The trend is also reflected in internal traffic data from BrokersThai.com. Pages related to Forex brokers for gold trading generated more than 5,000 impressions over the last year, highlighting continued interest from Thai traders seeking reliable broker comparisons and trading cost information.

The data also reveals that cryptocurrencies like Bitcoin are no longer seen as just tools for quick gambling. Instead, users search for risk management, such as how to handle price drops and volatility, spike every time the stock market experiences volatility. This proves that traders are carefully weighing crypto risks against the steady safety of gold.

Justin Grossbard, CEO of BrokersThai.com, commented: “Thai traders are now interested in trading multiple assets, especially gold and Bitcoin, while paying more attention to trading costs and broker transparency. Many traders are carefully comparing spreads and execution speeds to reduce unnecessary trading costs as much as possible.”

The findings indicate that Thai retail traders are adapting to uncertain market conditions by conducting deeper research before making investment decisions. Rather than choosing between gold or Bitcoin, many traders are now using both together — relying on gold to help preserve capital while viewing Bitcoin as a long-term growth opportunity.

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A 2026 software supply chain security assessment shows that about 65 per cent of organisations in India cannot detect malicious packages, while 71 per cent do not use container security tools. The findings underline a widening gap between the speed of AI-led software development and the controls needed to secure code, dependencies, models and deployment pipelines before they reach production systems.

Security teams are facing a more complex threat environment as AI coding assistants, model registries, agent frameworks and machine-learning libraries become embedded in day-to-day software engineering. AI is no longer confined to application features or analytics layers. It is becoming part of the software supply chain itself, influencing how code is written, tested, packaged and deployed.

Enterprises in India have been quick to adopt AI tools to improve developer productivity, reduce repetitive work and accelerate product releases. Yet the same shift has increased reliance on open-source packages, pre-trained models, plug-ins and automated build systems. Each of these components can introduce hidden risks if provenance, integrity and behaviour are not continuously verified.

Global software repositories are now attracting sustained attacks because they provide a direct route into enterprise development environments. Malicious npm packages rose by 451 per cent during 2025, while more than 48,000 new Common Vulnerabilities and Exposures were disclosed worldwide, a rise of about 20 per cent from the previous year.

The pressure on security teams is being amplified by the volume of AI-generated code. Developers in India are spending about 51 per cent of their time reviewing, validating and hardening code produced by AI tools. About 53 per cent treat such output only as a starting point and review every line before use, while 11 per cent rewrite AI-generated fixes from scratch.

This shift has altered the economics of software engineering. AI may reduce the time needed to draft code, but it can also transfer effort to verification, testing and security review. Weaknesses such as cross-site scripting, SQL injection and missing authorisation checks can still be reproduced by automated tools, particularly when developers rely on generated code without adequate scrutiny.

Governance is emerging as another area of concern. Nearly 97 per cent of organisations surveyed said they had certified AI model governance programmes, but only 59 per cent claimed full provenance visibility across production environments. About 48 per cent still needed a week or longer to produce audit-ready compliance evidence.

That gap points to a difference between policy and enforceable control. Many enterprises have AI governance frameworks on paper, but fewer can prove where every model, library, container image and software artefact came from, how it changed, who approved it and whether it complies with internal policy.

CERT-In has also warned that software supply chain compromises are increasingly targeting developer tools and trusted repositories. Its April 2026 activity note referred to attacks affecting npm, PyPI, GitHub Actions and container registries, including incidents involving Checkmarx, Trivy, LiteLLM, Axios, Telnyx and npm packages linked to the CanisterWorm campaign. The payloads observed in these attacks included credential harvesting, data exfiltration, remote execution and persistence within developer systems.

Model registries have added another layer to the risk. Around 1.4 million new AI artefacts were published on Hugging Face during 2025, representing 58 per cent of all new software packages tracked in one assessment. Researchers identified 495 malicious AI models in public repositories with active payloads capable of credential theft, command execution and reverse-shell activity, along with 969 malicious AI-agent skills designed to exploit developer environments and automation workflows.

For enterprises in India, the challenge is sharpened by the country’s role as a major software engineering and global capability centre hub. Bengaluru, Hyderabad, Pune, Chennai and Gurugram host large engineering teams serving banking, retail, telecoms, manufacturing and cloud services. These centres are increasingly responsible not only for maintenance work but also for product development, AI integration and security-sensitive digital platforms.

Regulatory and customer expectations are also tightening. Buyers are asking for software bills of materials, vulnerability disclosure processes, provenance records and proof that build pipelines are protected. CERT-In’s technical guidance on SBOM, QBOM, CBOM, AIBOM and HBOM has emphasised regular updates, vulnerability exploitability exchange documents and staff training around software supply chain visibility.

Security leaders are therefore moving towards stronger controls across development pipelines. These include automated malicious package detection, container image scanning, secrets detection, signed artefacts, dependency pinning, model provenance checks, policy enforcement in CI/CD systems and continuous monitoring of developer environments.

The investment case is becoming harder to ignore. Software supply chain attacks can bypass perimeter defences because they enter through trusted development channels. Once inside, malicious packages can steal credentials, alter builds, move into cloud environments or compromise downstream customers. AI raises the stakes because it can accelerate both legitimate development and attacker experimentation.

The New York-founded company, led by Shayne Coplan, is seeking to open discussions around whether event-based contracts can be permitted under Japan’s financial and digital-asset framework rather than treated purely as gambling. The move comes as prediction markets draw heavier institutional interest, stronger trading volumes and sharper scrutiny from regulators over consumer protection, market integrity and the legal boundary between betting and derivatives.

People familiar with the matter said the company’s Japan strategy is at an early stage and would require engagement with officials, lawmakers and industry participants before any formal market entry. Japan does not have a dedicated framework for cash-based prediction markets, leaving platforms that allow users to trade on political, economic, sports or cultural outcomes exposed to uncertainty under gambling and financial laws.

Polymarket allows users to buy and sell contracts tied to the outcome of real-world events, with prices reflecting market-implied probabilities. Its markets have covered elections, central bank decisions, geopolitical events, sports, entertainment and cryptocurrency milestones. The platform gained global visibility during the 2024 US presidential election cycle, when trading volumes surged and its odds were widely cited as an alternative gauge of political sentiment.

Japan would offer Polymarket a large, sophisticated retail market with deep participation in equities, foreign exchange and digital assets. The country has also built one of the world’s more structured crypto regulatory regimes, requiring registration for crypto-asset exchange service providers and imposing rules on custody, anti-money laundering controls and customer protection. That framework may give the company a potential route for engagement, although prediction markets remain a separate and more politically sensitive category.

The company’s global push has accelerated after a period of regulatory pressure in the United States. Polymarket settled a case with the Commodity Futures Trading Commission in 2022 after being accused of offering off-exchange event-based binary options without proper registration. It blocked US users for several years before moving to rebuild a domestic regulatory path through acquisitions and licensing efforts. Its purchase of a derivatives exchange and clearinghouse gave it a route to pursue compliant US operations.

Institutional backing has also strengthened its position. Intercontinental Exchange, the parent of the New York Stock Exchange, agreed to invest up to $2 billion in Polymarket in a deal that valued the business at about $8 billion before the transaction. The partnership gave Polymarket a powerful market infrastructure ally and signalled that event-driven data may have value beyond retail speculation, particularly for investors seeking real-time sentiment around political, economic and corporate developments.

Competition is intensifying. Kalshi, a regulated US prediction market operator, has expanded rapidly by framing event contracts as financial instruments under commodities law. Its growth has triggered legal disputes with state regulators, some of whom argue that sports and election-linked contracts resemble gambling products. That debate is likely to influence Japan’s assessment of whether prediction markets can be supervised as finance, gaming, information markets or a hybrid category.

Polymarket’s Japan plan faces several obstacles. Gambling is tightly restricted, with permitted activity largely confined to state-authorised sectors such as horse racing, bicycle racing, motorboat racing, lotteries and pachinko-linked structures. Online betting carries heightened enforcement risks, and any product involving wagers on uncertain outcomes would need careful legal classification. A crypto-funded model could add further complexity because regulators would need to examine custody, settlement, identity checks, sanctions screening and investor suitability.

Supporters of prediction markets argue that they create useful public signals by aggregating dispersed information into tradable prices. Traders who believe a market is mispriced can buy or sell contracts, pushing prices closer to collective expectations. That model has appealed to political analysts, hedge funds, economists and technology investors seeking faster indicators than polls, surveys or conventional research.

Critics counter that thin liquidity, anonymous participation, insider access and coordinated trading can distort outcomes. Questions have intensified around markets linked to sensitive events, where participants may possess non-public information or where the existence of a market could create troubling incentives. Japan’s regulators are likely to examine whether surveillance systems, position limits, disclosure rules and dispute-resolution mechanisms are strong enough to reduce those risks.