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AI Inference Market worth $254.98 billion by 2030 – Exclusive Report by MarketsandMarkets™

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DELRAY BEACH, Fla., Feb. 28, 2025 /PRNewswire/ — The AI Inference market is expected to grow from USD 106.15 billion in 2025 and is estimated to reach USD 254.98 billion by 2030; it is expected to grow at a Compound Annual Growth Rate (CAGR) of 19.2% from 2025 to 2030 according to a new report by MarketsandMarkets™. The AI inference market is growing due to the surge in generative AI and large language models (LLMs), which require robust inference capabilities for real-time applications like chatbots and content creation. Increasing data volumes and the need for cost-effective, energy-efficient solutions are pushing innovation in AI inference chips. Furthermore, the rise of 5G networks enables faster data transmission, supporting real-time AI inference in smart cities, autonomous vehicles, and industrial automation, creating new opportunities for market expansion.

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Browse in-depth TOC on “AI Inference Market” 
322 – Tables
85 – Figures
365 – Pages

AI Inference Market Report Scope:

Report Coverage

Details

Market Revenue in 2025

$ 106.15 billion

Estimated Value by 2030

$ 254.98 billion

Growth Rate

Poised to grow at a CAGR of 19.2%

Market Size Available for

2020–2030

Forecast Period

2025–2030

Forecast Units

Value (USD Million/Billion)

Report Coverage

Revenue Forecast, Competitive Landscape, Growth Factors, and Trends

Segments Covered

By Compute, Memory, Network, Deployment, Application, End User, and Region

Geographies Covered

North America, Europe, Asia Pacific, and Rest of World

Key Market Challenge

Data privacy concerns

Key Market Opportunities

Growth of AI-enabled healthcare and diagnostics

Key Market Drivers

Enhanced GPU capabilities for inference tasks

By network, NIC/Network Adapters segment is projected to have highest market share and highest CAGR during the forecast period.

The NIC (Network Interface Card)/ network adapters is expected to have the highest market share and will experience the highest CAGR over the forecast period. The demand for this segment is growing due to the high requirement for high-speed, low-latency data transfer in AI-based environments. As AI workloads, especially in data centers and cloud computing, increase and become more data-intensive, the demand for network infrastructure that is efficient to handle rapid data movement between Ai inference chips and distributed systems is growing. NIC/Network adapters allow AI systems to work with large datasets in real time and enable faster inference of AI models. For instance, Intel Corporation (US) released Gaudi 3 enterprise AI accelerator, which provides ethernet networking in April 2024. It allows scalability for businesses that offer training, inference, and fine-tuning. The company also introduced AI-optimized ethernet solutions, incorporating an AI NIC and AI connectivity chips, through the Ultra Ethernet Consortium. In addition, SmartNICs advancements which offload tasks such as encryption, compression, and data processing from CPUs, improve the efficiency and scalability of AI inference further. Their cost effectiveness and the ability to integrate with the existing infrastructures, makes NICs a cornerstone in AI networking.

By application, generative AI segment will account for the highest CAGR during the forecast period.

Generative AI is expected to grow rapidly in the AI inference market because of its transformative capabilities, increased computational efficiency and enhanced accessibility. Companies like NVIDIA Corporation and Advanced Micro Devices, Inc. are developing specialized GPUs with enhanced tensor cores optimized for the parallel processing demands of Generative AI. NVIDIA recently introduced generative AI microservices in March 2024, allowing developers to create and deploy AI copilots across the massive installed base of CUDA-enabled GPUs. These microservices integrated into NVIDIA AI Enterprise 5.0, accelerate inference tasks, retrieval-augmented generation (RAG) and the LLM customization, shortening deployment time from weeks to minutes. Major application providers such as Adobe, SAP, and CrowdStrike are leveraging these innovations highlighting the rising adoption of generative AI for real-time applications. Advancements in specialized hardware like NVIDIA’s H100 GPUs and edge AI platforms like Jetson will further enable efficient and scalable deployment of generative models within industries like healthcare to cybersecurity. Such advancements show that more reliance is placed on generative AI in terms of innovation and operational efficiency, thereby growing the AI inference market rapidly.

By end user- enterprises segment in AI inference market will account for the high CAGR in 2025-2030

The enterprises segment will have the highest growth rate in the AI Inference market. Enterprises have widely adopted AI solutions for better operational efficiency, offer personalized customer experience and to drive innovation. Enterprises have resources and infrastructure to deploy large-scale AI models in domains such as customer service, supply chain optimization, and predictive analytics. Healthcare enterprise use AI for medical imaging and diagnostics, financial organizations for fraud and risk detection, and retailer for AI-based recommendation system and inventory management. This growth is further propelled by rise in advancements in enterprise-focused AI platforms that simplify the deployment and scale AI applications. For instance, In May 2024, Nutanix (US) collaborated with NVIDIA Corporation (US) in order to boost adoption for generative AI. This integration of Nutanix’s GPT-in-a-Box 2.0 with NVIDIA’S NIM inference microservices will enable enterprises to deploy scalable, secure, and high-performance GenAI applications both centrally and at the edge. With its platform, Nutanix simplifies the deployment of AI models and reduces the need for specialized Ai expertise and empowers businesses to implement AI strategies. These innovations highlight the increasing pace at which enterprises are investing in AI inference for competitive advantages and operational improvement.

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North America region will hold highest share in the AI Inference market.

North America is projected to account for the largest market share in the AI inference industry during the forecast period. The growth in this region is majorly driven by the strong presence of leading technology companies and cloud providers, such as NVIDIA Corporation (US), Intel Corporation (US), Oracle Corporation (US), Micron Technology, Inc (US), Google (US), and IBM (US) which are heavily investing in advanced AI inference technologies. These companies are building state-of-the-art data centers equipped with AI processors, GPUs, and other required hardware to meet the ever-increasing demand for AI applications across industries. In addition, the governments of this region are emphasizing efforts toward improving AI inference capabilities. For instance, in September 2023, the US Department of State announced initiatives for the advancement of AI partnering with eight companies, including Google (US), Amazon (US), Anthropic PBC (US), Microsoft (US), Meta (US), NVIDIA Corporation (US), IBM (US), and OpenAI (US). They planned to invest more than USD 100 million for infrastructure required for AI deployment, particularly in cloud computing, data centres and AI hardware. These investments promote innovation and collaboration between the public and private sectors, boosting North America’s leadership in AI inference technologies.

Key Players

Key companies operating in the AI inference companies are NVIDIA Corporation (US), Advanced Micro Devices, Inc. (US), Intel Corporation (US), SK HYNIX INC. (South Korea), SAMSUNG (South Korea), Micron Technology, Inc. (US), Apple Inc. (US), Qualcomm Technologies, Inc. (US), Huawei Technologies Co., Ltd. (China), Google (US), Amazon Web Services, Inc. (US), Tesla (US), Microsoft (US), Meta (US), T-Head (China), Graphcore (UK), Cerebras (US), among others.

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Browse Adjacent Market: Semiconductor and Electronics Market Research Reports &Consulting

Related Reports: 

AI Infrastructure Market by Offerings (Compute (GPU, CPU, FPGA), Memory (DDR, HBM), Network (NIC/Network Adapters, Interconnect), Storage, Software), Function (Training, Inference), Deployment (On-premises, Cloud, Hybrid) – Global Forecast to 2030

AI Chip Market Size, Share & Industry Trends Growth Analysis Report by Offerings (GPU, CPU, FPGA, NPU, TPU, Trainium, Inferentia, T-head, Athena ASIC, MTIA, LPU, Memory (DRAM (HBM, DDR)), Network (NIC/Network Adapters, Interconnects)), Function (Training, Inference) & Region – Global Forecast to 2029

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Black Lake Technologies Shortlisted as SAIL Award TOP30 Finalist and Selected as Global Industrial AI Flagship Case, Showcasing Latest Industrial Agent at WAIC 2026

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SHANGHAI, July 18, 2026 /PRNewswire/ — The 2026 World Artificial Intelligence Conference (WAIC) opened in Shanghai on July 17. Shanghai Blacklake Technologies Co., Ltd. (“Black Lake”), an industrial AI company, is showcasing a portfolio of industrial AI agents at the conference. The company has also been named to the Top 30 shortlist for the 2026 WAIC Super AI Leader (SAIL) Award and selected as a Trusted Partner under the Global Call for Trusted Partners for Industrial AI in the Global South.

The accreditations highlight Black Lake’s latest progress in bringing AI into critical manufacturing decision-making workflows and deploying industrial AI capabilities on the shop floor around the world.

This year’s conference attracted over 1,100 exhibiting companies and showcased more than 3,000 exhibits, setting a new record for exhibition scale. The conference delivered a clear signal: as artificial intelligence becomes a common priority across global industries, attention is moving beyond model capabilities toward practical applications in real-world operating environments.

Manufacturing provides a particularly demanding test for this transition. Factory operations are governed by multiple constraints, including process specifications, equipment capabilities, material availability, production capacity, delivery schedules and quality requirements. Therefore, AI has to do so much more than simply comprehend information input. It must make reliable judgments within clearly defined business rules and operational constraints.

Black Lake has focused on industrial digitalization and industrial AI for years, developing and deploying AI applications in a range of factory environments.

At WAIC 2026, the company is presenting industrial AI agents covering order splitting and process planning, quotation and pricing, procurement, production scheduling, quality inspection, and order tracking. These applications are designed to move AI beyond an auxiliary role and into critical manufacturing decision-making workflows.

Traditional industrial software is primarily responsible for data recording, digital workflows, and worker coordination. However, critical decisions such as how to split an order, determine pricing, schedule production, and assess quality risks still depend heavily on the experience of engineers and frontline workers.

Industrial AI agents are intended to convert fragmented industrial knowledge and production experience into decision-making capabilities that can be invoked, reused and continuously refined by software systems.

Order decomposition and process planning are representative examples. After receiving an engineering drawing, a factory typically relies on experienced engineers to identify components, materials and dimensions, define the required manufacturing processes and technical specifications, and establish a basis for subsequent quotation and quality inspection.

The process is highly dependent on individual expertise and represents one of the first critical decision points after an order is received.

Black Lake Technologies’ CAD-to-Process Agent can understand product drawings and, taking into account the factory’s equipment capabilities, process requirements, and production practices, rapidly generate process steps along with the corresponding technical requirements. Drawing analysis that once took hours can now be completed in approximately one minute, achieving an accuracy rate of over 95% in real deployment and providing engineers with stable, efficient decision support. Currently, the industrial agents developed by the company cover core processes including design, scheduling, production, and quality inspection, and have entered the stage of large-scale deployment.

Founded in 2016, Black Lake serves nearly 40,000 factories worldwide. Its customers span more than 30 industries, including food and beverage, automotive components and equipment manufacturing.

By working across factory order management, production and fulfillment workflows, Black Lake has accumulated the technical capabilities and industry knowledge required to support decision-making in complex industrial environments.

In April 2026, Black Lake completed a Series D funding round of nearly RMB 1 billion. The company said the proceeds would primarily be used to accelerate the deployment of its industrial AI products and support its international expansion.

AI-related products are becoming a new source of growth for the company. In a recent interview, Black Lake founder and CEO Zhou Yuxiang said that the company had recorded significant growth in AI-related revenue since the beginning of 2026. He also said that manufacturing customers were taking less time to make purchasing decisions for industrial AI agents.

Zhou expects AI adoption among Chinese factories to increase substantially over the next three to four years.

Unlike consumer-facing AI, which is primarily associated with content generation and personal productivity, industrial AI agents can directly affect production costs, capacity utilization, delivery performance, and product quality. Their commercial value therefore depends largely on whether they can perform specific tasks reliably in complex production environments.

During WAIC 2026, Black Lake was named to the Top 30 shortlist for the 2026 Super AI Leader (SAIL) Award. The SAIL Award is one of WAIC’s major awards and recognizes achievements in technological breakthroughs, application innovation, and industrial value.

Black Lake was also selected as a Trusted Partner under UNIDO’s Global Call for Trusted Partners for Industrial AI in the Global South.

The Global Call was launched under the guidance of the United Nations Industrial Development Organization (UNIDO), in partnership with the Shanghai Artificial Intelligence Research Institute, and in connection with the work of UNIDO AIM Global and its Shanghai-based Centre of Excellence.

The initiative aims to build a curated pool of leading partners to co-develop scalable industrial AI solutions and public goods for the Global South.

For Black Lake, the two accreditations underscore the growing importance of reliability, explainability, and scalability in the evaluation of industrial AI, in addition to the capabilities of AI models.

Global expansion will be a major priority in the company’s next phase of development. Black Lake is currently focusing on Southeast Asia, Latin America and Eastern Europe, adapting its industrial AI agents to the industrial structures, production processes and management requirements of different markets.

Although manufacturing operations vary across countries and regions, manufacturers share similar concerns about efficiency, quality, delivery reliability and production flexibility.

Black Lake is transforming industrial AI capabilities that have been validated in complex factory environments into configurable and deployable products. Through these products, the company aims to work with manufacturers worldwide to explore more efficient, flexible and intelligent approaches to production.

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SOURCE Black Lake

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76% of Coupon Codes Work at Checkout, but Most Failures Trace Back to Terms Shoppers Never Read, CouponDopa Study Finds

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Study Finds 76% of Coupon Codes Work at Checkout

NEW YORK, July 18, 2026 /PRNewswire-PRWeb/ — Multi-country research across 11 regions finds that most coupon code failures were not due to expired codes, but to terms and conditions shoppers did not check before checkout.

Our research shows that most coupon code failures are caused by overlooked terms and conditions not expired codes. Understanding the offer requirements can significantly improve checkout success.” — Anderson Joe, CMO, CouponDopa

A new study testing 1,000 coupon codes across 11 countries found that three in four online discount codes applied successfully at checkout, while the remaining failures were tied more often to unmet terms than to expired or invalid codes.

The research was conducted by CouponDopa, a multi-regional coupon platform operating in 11 countries. Codes were tested across multiple retail categories in July 2026 to measure real checkout success rates.

KEY FINDINGS

Overall success rate: 76%. Overall failure rate: 24%. Highest-performing country: Netherlands, 81%. Lowest-performing countries: Poland and Italy, tied at 70%. Highest-performing category: Electronics. Lowest-performing category: Travel. Desktop success rate: 78%. Mobile success rate: 74%.

The study’s most significant finding was not the failure rate itself, but the reasons behind it.

“The assumption most shoppers make is that a coupon code doesn’t work because it’s expired,” said Anderson Joe, CMO at CouponDopa. “Our testing found that expiry was rarely the primary issue. In most failed attempts, the code was still active, but the shopper’s cart did not meet a listed condition, such as a minimum spend or a region restriction.”

WHY COUPON CODES ACTUALLY FAIL

Minimum spend not met: the most common reason for failure across all 11 regions, since many codes require a basket value above a set threshold.Region-specific restrictions: codes valid in one country frequently failed in another.Unread terms and conditions: codes were applied to excluded categories, sale items, or specific product ranges without checking eligibility first.Delivery and shipping thresholds: free shipping codes requiring a minimum order value were sometimes mistaken for blanket offers.

No exact percentage breakdown of failure causes is available. Minimum spend is confirmed as the single most common cause; the other three were not ranked against each other.

“In our view, a code that fails because of an unmet minimum spend is not necessarily a broken code,” said Anderson. “It may simply be a condition the shopper did not see before checkout.”

REGIONAL FINDINGS — NETHERLANDS LEADS

Country Success Rate

Netherlands 81%

Germany 79%

United States 77%

Canada 77%

United Kingdom 76%

Australia 75%

New Zealand 74%

France 73%

Spain 72%

Poland 70%

Italy 70%

Netherlands recorded the highest success rate of the 11 regions tested. Germany followed closely. The United Kingdom matched the overall study average, and Canada and the United States recorded the same rate. Poland and Italy recorded the lowest rates in the study, tied at 70%.

ELECTRONICS OUTPERFORMS TRAVEL

Electronics recorded the highest coupon code success rate of any category tested, at 80%, while travel recorded the lowest, at 69%.

“Electronics codes in our sample tended to carry fewer conditions,” noted Anderson Joe. “Travel codes more often included conditions tied to dates, destinations, or booking windows, which may explain the difference.”

MOBILE SHOPPERS RECORD LOWER SUCCESS RATES

Desktop checkouts recorded a 78% success rate compared with 74% for mobile, a 4-point gap. Researchers said the difference may relate to how terms are displayed on smaller screens, though this was not directly tested.

“We saw a consistent gap between desktop and mobile across our markets,” said Anderson Joe. “We can’t say precisely why from this data alone, but it’s a pattern worth further study.”

ABOUT THE STUDY

CouponDopa tested 1,000 coupon codes across 11 countries during July 2026, across electronics, fashion, food delivery, travel, beauty, and home categories. Codes were manually tested at real checkouts on desktop and mobile. A code counted as successful only when the discount appeared in the checkout total. Failed codes were categorized by reason. Read the complete methodology available at CouponDopa tested 1000 coupon codes in 11 regions.

ABOUT COUPONDOPA

CouponDopa is a multi-regional coupon and discount platform operating across 11 countries. CouponDopa verifies coupon codes across hundreds of brands before publishing, providing shoppers with discount information across major retail categories, including verified codes available on CouponDopa’s store pages.

MEDIA CONTACT

Organization: Coupondopa

Contact Person Name: Anderson Joe

Website: https://www.coupondopa.com/

Email: info@coupondopa.com

Contact Number: +1 (530) 269-6377

Address: 165 ithaca Bayshore NY, 11706 USA

City: Bay Shore

State: NY

Country: United States

Media Contact

Anderson Joe, Coupondopa, 1 631 404-9968, coupondopa@gmail.com, https://www.coupondopa.com/

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SOURCE CouponDopa

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Global Times: Head-of-state diplomacy shines at WAIC, fostering ties and advancing global governance consensus

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BEIJING, July 17, 2026 /PRNewswire/ — Chinese President Xi Jinping on Friday held a series of high-level meetings on the sidelines of the 2026 World Artificial Intelligence Conference (WAIC) and High-Level Meeting on Global AI Governance in Shanghai, sitting down successively with Thai Prime Minister Anutin Charnvirakul, Cambodian Prime Minister Hun Manet, and UN Secretary-General António Guterres. The bustling diplomatic activity transformed the WAIC from a premier showcase of AI technologies and industrial breakthroughs into a vibrant platform for head-of-state diplomacy and global governance coordination.

Analysts said hosting intensive head-of-state diplomatic events in Shanghai, a core hub of reform, opening-up and technological innovation, carries profound meaning. In addition, Friday’s high-level meetings embody the innovative model of “technology builds the stage while diplomacy takes the leading role.” It not only deepens China’s bilateral relations with ASEAN members, but also helps advance inclusive global AI governance centered on the UN mechanism.

Strategic guidance

According to the two separate official releases by Xinhua, during his meetings with the prime ministers of Thailand and Cambodia, President Xi spoke of the long-standing friendship China shares with both nations. He called on China and Thailand, as well as China and Cambodia, to join hands to advance the development of their respective communities with a shared future.

Furthermore, the Chinese leader stressed the need for China to expand pragmatic cooperation with Thailand and Cambodia respectively across traditional and emerging sectors, and work with each country to jointly crack down on cross-border crimes such as online gambling and telecom fraud, according to Xinhua.

He called for the proper handling of border frictions between Thailand and Cambodia and called on the two sides to resolve disputes through dialogue and consultation, with China standing ready to continue playing a constructive role in this regard, per Xinhua.

During their respective meetings with the Chinese leader, the prime ministers of Thailand and Cambodia both expressed willingness to deepen multi-field cooperation with China and spoke highly of China’s positive efforts to facilitate the peaceful settlement of the Thailand-Cambodia border conflicts.

Xu Liping, Director of the Center for Southeast Asian Studies at the Chinese Academy of Social Sciences, told the Global Times that head-of-state diplomacy has charted the fundamental course for the advancement of China’s ties with both Cambodia and Thailand.

WAIC exemplifies the innovative model of “technology builds the platform, while diplomacy takes the leading role,” said Xu, “In addition, AI cooperation is also expected to serve as a vital entry point to further deepen and substantiate China’s ties with Thailand and Cambodia going forward.”

Furthermore, addressing the sensitive and thorny Thailand-Cambodia border dispute amid the relatively relaxed atmosphere of a tech summit enables all relevant parties to handle differences in a rational and pragmatic manner, which embodies Eastern wisdom and an Asian approach to resolving issues, said Xu.

The year 2026 marks the fifth anniversary of the establishment of the China-ASEAN comprehensive strategic partnership, witnessing the official rollout of the new Plan of Action on the China-ASEAN Comprehensive Strategic Partnership (2026-2030). It also kicks off the implementation of China’s 15th Five-Year Plan.

The critical juncture offers a perfect window to align China’s development plans closely with the national development strategies of Global South countries and ASEAN members, said Xu. “Thailand and Cambodia’s willingness to ramp up cooperation with China mirrors the aspiration of the majority of ASEAN members to leverage China’s development dividends and pursue win-win outcomes and common prosperity in the region.”

Firm support for UN

In his meeting with UN Secretary-General Antonio Guterres on Friday, Xi reiterated China’s firm support for the UN.

Noting that this year marks the 55th anniversary of the restoration of the lawful seat of the People’s Republic of China at the UN, the Chinese leader said China has since been committed to building world peace, contributing to global development, defending international order, and firmly supporting the UN, Xinhua reported.

Xi added that he proposed the vision of building a community with a shared future for humanity and the four global initiatives with one important consideration in mind – to uphold the status and authority of the UN.

Currently, the international landscape is marked by more pronounced changes and turbulence, making it all the more necessary to practice true multilateralism and reinvigorate the status and role of the UN, he said.

Guterres commended China for its steadfast support for multilateralism, the cause of the UN, and international cooperation, saying that China has set an example for the world.

Guterres said the UN will continue to strengthen cooperation with China, oppose unilateralism, protectionism, and hegemonic bullying, safeguard the UN Charter and international law, as well as advance the process toward a multipolar world.

At this pivotal juncture where talks on AI development and UN multilateral governance converge, China, leveraging head-of-state diplomacy as a top-tier platform, has elaborated in a systematic manner its vision for global governance in the AI era, Wang Yiwei, a professor at the School of International Studies, Renmin University of China, told the Global Times.

He added that China’s emphasis on the UN-centered global governance architecture will further strengthen the UN’s authority and operational capacity.

Before the official opening of the WAIC, on Thursday, representatives from 29 countries, including Kazakhstan, Laos, Pakistan, Russia and Indonesia, signed an agreement on establishing the World Artificial Intelligence Cooperation Organization (WAICO) in Shanghai. UN chief Guterres was among representatives from countries and international organizations present at the signing ceremony.

According to the agreement, WAICO will be an independent intergovernmental international organization, which aims to promote international cooperation and global governance on AI, ensuring that AI is beneficial, safe and fair, thereby promoting its healthy and orderly development to benefit all humanity.

President Xi on Friday also announced that in the next five years, China will provide developing countries with 5,000 opportunities in AI training and seminar programs. China will also develop international AI application cooperation centers with the ASEAN, the League of Arab States, the African Union, the Community of Latin American and Caribbean States, the Shanghai Cooperation Organization, and BRICS.

However, some international media, including Reuters and Nikkei, used the term “AI diplomacy” describing the grand gathering in Shanghai, claiming that Beijing seeks a new global AI order, challenging US dominance.

In rebuttal, Wang pointed out that China advocates open, inclusive technology that lets AI benefit all humanity under the vision of “AI for All”. In contrast, the US adheres to a mindset of “All for AI”, weaponizing AI for geopolitical rivalry and aiming to outpace China in technological competition. Driven by the “America First” doctrine and capital-centric priorities, Washington’s approach forms a sharp contrast with China’s.

Meanwhile, China’s resolute commitment to upholding the UN system underscores that for China and a wide array of Global South countries, the sensible path lies in reforming and improving the existing global governance architecture rather than discarding it to build parallel institutions from scratch, the expert added.

This article first appeared on Global Times

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SOURCE Global Times

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