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hot_img Visa and Artemis jointly released the Smart Payment Report: The x402 protocol processed $15 million in transactions in its first year, accelerating the arrival of the AI micro-payment era

Visa and the on-chain data analysis platform Artemis previously jointly released the report "Agentic Payments from the Ground Up," which quantifies the trends of AI agent payments based on real-time on-chain data. The report points out that intelligent commerce should be divided into macro transactions (AI agents completing bookings, subscriptions, etc., adapting to existing card systems) and micro payments (high-frequency small payments between machines, with individual transactions far below $1, which traditional payment structures struggle to support).The report focuses on two "machine-native payment" protocols: x402 (developed by Coinbase, Cloudflare, etc., launching in May 2025) with an adjusted transaction volume of approximately $15 million and 109.6 million transactions as of April 21, 2026, with 422,000 buyers and about 5,300 sellers, primarily concentrated on Base, Solana, and Polygon, settled in USDC; MPP (developed by Stripe and Tempo, with Visa's participation, launching in mid-March 2026) had a transaction volume of approximately $25,000 and 115,000 transactions within 33 days of launch, supporting both on-chain crypto payments and fiat settlements.The report believes that the leap in AI capabilities (with the release of Claude 4.5 and GPT Codex 5.2 in mid-2025) has created a demand for programmatic payments, combined with the decreasing costs of blockchain settlements, making micro payments in the range of 1 cent to 1 dollar economically viable for the first time. Currently, the boundaries between crypto-native protocols and card payment camps are gradually blurring, but agent payments still face trust challenges such as erroneous purchases, adversarial attacks, and liability attribution.

hot_img Citrini Analyst: The progress of China's DUV is not surprising, the sell-off of semiconductor equipment stocks like ASML is excessive

Citrini analyst Jukan posted on social media that the news of China's progress in DUV lithography technology is not particularly surprising, as the market had already formed certain expectations. He pointed out that The Information's related report only cited a professor from a transportation university in China speaking at an internal meeting in June and did not disclose more substantial information. Jukan believes that the sell-off reaction seen in semiconductor equipment stocks like ASML is an overreaction to this news.According to previous reports, The Information cited sources saying that a state-owned enterprise supported by Chinese state capital has begun mass production of domestically developed DUV (Deep Ultraviolet) lithography manufacturing equipment, marking a key progress in the localization of China's semiconductor industry.Insiders stated that the enterprise plans to produce about 5 domestically made DUV lithography machines by 2026 and expand to about 20 machines by 2027. Although there is still a gap compared to the 131 immersion DUV lithography systems delivered by Dutch lithography giant ASML last year, the entry of domestic equipment into mass production is seen by the market as an important breakthrough in the localization of China's chip supply chain.

Jensen Huang: The semiconductor industry may need to expand to ten times its current size in the next 10 years

NVIDIA CEO Jensen Huang stated in a Bloomberg podcast interview that South Korea is in a "golden era," and its semiconductor and industrial capabilities can help build AI infrastructure globally. NVIDIA has reached multiple collaborations with SK Group, and the scale of their future business exchanges in areas such as storage procurement, AI supercomputers, and data center construction will exceed $500 billion. NVIDIA will purchase a large number of storage chips from SK Hynix for several consecutive years and will work together to advance the technology roadmap from HBM2, HBM3, HBM3E, HBM4, HBM4E to subsequent products.Meanwhile, SK Telecom plans to expand its AI cloud infrastructure to a maximum of 2 gigawatts soon, and NVIDIA will sell supercomputers to it. The cooperation between the two parties includes both NVIDIA's procurement of storage and SK Group's procurement of AI infrastructure.Jensen Huang believes that as AI entities and robots begin to use computers on a large scale, chip demand will no longer be driven solely by human users. In the next approximately 10 years, the global semiconductor industry scale may need to expand to 10 times its current size. Currently, resources such as HBM storage, land, electricity, and data center construction are all under tight conditions; the industry may be capable of doubling its capacity each year, but faster expansion will be very difficult. The entire industry may be able to double its supply scale each year, but land, electricity, and factory space cannot expand as quickly as consumer electronics, so the construction of AI infrastructure may continue to progress at a limited pace over the next 10 years.Regarding the AI competition between China and the United States, Jensen Huang stated that both countries have excellent AI researchers. Although resources, conditions, and restrictions differ, both will continue to drive advancements in AI technology. The number of AI researchers trained in China each year may exceed the total in other regions of the world, and the United States still needs to continue learning, collaborating, and maintaining competition.
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