BTC $76,837.06 -0.54%
ETH $2,483.86 -1.63%
BNB $716.86 -1.42%
XRP $1.35 -1.45%
SOL $99.63 -1.96%
TRX $0.3378 -0.63%
DOGE $0.0825 -2.64%
ADA $0.2041 -1.70%
BCH $221.67 -2.00%
LINK $11.24 -2.23%
HYPE $77.58 -2.41%
AAVE $124.68 -0.87%
SUI $0.7026 -3.21%
XLM $0.1778 -1.15%
ZEC $1,061.96 -5.26%
AAPL $330.61 -0.70%
AMZN $254.74 -0.84%
GOOGL $336.07 -1.22%
MSFT $493.38 -0.49%
META $641.70 -1.06%
NVDA $214.76 -1.69%
TSLA $360.56 -1.89%
SNDK $1,560.76 -4.29%
INTC $99.08 -2.70%
SPCX $148.71 -0.99%
MU $941.37 -2.73%
AMD $502.53 -2.37%
BTC $76,837.06 -0.54%
ETH $2,483.86 -1.63%
BNB $716.86 -1.42%
XRP $1.35 -1.45%
SOL $99.63 -1.96%
TRX $0.3378 -0.63%
DOGE $0.0825 -2.64%
ADA $0.2041 -1.70%
BCH $221.67 -2.00%
LINK $11.24 -2.23%
HYPE $77.58 -2.41%
AAVE $124.68 -0.87%
SUI $0.7026 -3.21%
XLM $0.1778 -1.15%
ZEC $1,061.96 -5.26%
AAPL $330.61 -0.70%
AMZN $254.74 -0.84%
GOOGL $336.07 -1.22%
MSFT $493.38 -0.49%
META $641.70 -1.06%
NVDA $214.76 -1.69%
TSLA $360.56 -1.89%
SNDK $1,560.76 -4.29%
INTC $99.08 -2.70%
SPCX $148.71 -0.99%
MU $941.37 -2.73%
AMD $502.53 -2.37%

erc

All
Article
Flash

first_img Mastercard report: By 2030, 300 million shoppers will regularly use AI agents

Mastercard recently released the report "A Short History of the Future of Shopping and Payments," predicting that by 2030, approximately 300 million shoppers worldwide will regularly use AI agents, primarily concentrated in the United States, the United Kingdom, the Netherlands, China, and South Korea. The report is based on a survey conducted from June to July 2026 involving 13 markets and 13,000 pairs of parents and teenagers (a total of 26,000 respondents).The survey shows that 65% of British teenagers believe AI will change the shopping habits of their generation, and the likelihood of teenagers globally using AI for shopping is about twice that of their parents. 22% of British teenagers expect shopping to be dominated by AI within five years, compared to only 11% in France. 79% of teenagers and 70% of parents have used AI to research products in the past year, while 51% of teenagers and 46% of parents have used AI to complete a purchase at least once.The report cites Gartner's prediction that by 2028, the majority of B2B procurement will be mediated by AI agents, driving over $15 trillion in spending; by 2030, 20% of monetary transactions will be programmable. The report also suggests that "Know Your Agent" (KYA) could become a compliance advantage, with payment intent, consent, and machine-readable warranties forming the infrastructure of agent-based commerce.

Gate Europe CEO Dr. Giovanni Cunti: In the interconnected digital economy, the future of liquidity lies in the efficiency of capital circulation and market connectivity

Gate Europe CEO Dr. Giovanni Cunti stated in a LinkedIn post that financial markets are becoming increasingly interconnected, with digital assets, stablecoins, and tokenized assets merging with traditional finance, reshaping the pathways for cross-border capital flow. The core of liquidity is no longer just depth and trading volume, but also the efficiency of capital circulation and the ability to access it instantly.He emphasized that future liquidity not only means more capital but also aims to make capital flow more easily and be accessed more efficiently, achieving better connections between different markets. Broad market access can break the fragmentation of liquidity and enhance the efficiency of capital operations. As stablecoins accelerate payment settlements and tokenization introduces new assets, the focus is on promoting seamless collaboration across all links.Relying on the compliance foundation of the MiCA and payment institution PI dual licensing system, Gate Europe has established highly regulated operational standards to enhance the confidence of institutions, enterprises, and investors with a clear regulatory framework. He pointed out that Europe is advancing digital asset innovation alongside regulatory compliance. Gate Europe stated that it will continue to empower this transformation and work with industry partners to shape the future together.

first_img PwC, Merck, and Hashgraph Group pilot cocoa traceability system

The Hashgraph Group, in collaboration with Merck and with consulting and implementation support from PwC Germany, is piloting a cocoa traceability solution. This solution combines Merck's M-Trust physical authentication technology with the TrackTrace digital product passport platform based on the Hedera network, aiming to verify the origin, authenticity, quality, recall requirements, and compliance data of cocoa from farm to consumer.Cocoa is one of the seven commodities covered by the EU Deforestation Regulation (EUDR). According to the rescheduled arrangement reached in December 2025, large operators and traders must fulfill their obligations starting from December 30, 2026, while micro and small operators will be subject to this from June 30, 2027. The solution also aligns with the direction of promoting digital product passports under the EU Ecodesign for Sustainable Products Regulation (ESPR); however, food and feed are currently explicitly excluded from the scope of the ESPR, and for cocoa, EUDR due diligence remains a recent binding requirement.Partners indicate that this framework is not limited to cocoa and can be expanded to areas such as pharmaceuticals, luxury goods, and industrial components in the future. Husen Kapasi, head of PwC Germany's enterprise blockchain business, pointed out that this solution has verifiability and can play a key role in food recalls or compliance investigations.

first_img Tesla Cybercab launched in the United States, with no steering wheel and pedals costing 0.84 yuan per kilometer

On September 3 local time, Tesla held a Cybercab launch event in Austin, Texas, USA. This vehicle is a mass-produced model designed for autonomous driving scenarios, eliminating the steering wheel, pedals, and traditional rearview mirrors, and adopting a two-seat layout, with driving entirely controlled by Tesla's autonomous driving software. The Cybercab was unveiled as a concept car at the "We, Robot" event in October 2024, with the first mass-produced vehicle rolling off the line at the Texas Gigafactory in February this year, and mass production starting in April, taking about 18 months from concept to mass production.The vehicle relies on 8 high-definition cameras to perceive the environment and makes driving decisions through an end-to-end neural network, without relying on lidar and high-precision maps. According to Tesla's data, as of September 2026, the global fleet's cumulative assisted driving mileage has exceeded 22.5 billion kilometers. In terms of energy efficiency, it is expected to travel 9.8 kilometers per kilowatt-hour, with an energy consumption of about 10.2 kilowatt-hours per 100 kilometers. The curb weight is 1412 kilograms, equipped with a 47.6 kilowatt-hour battery pack and a 163-kilowatt motor, with a laboratory range of 673 kilometers. After scaling up ride-hailing operations, the cost per mile can be reduced to $0.2, equivalent to about 0.84 yuan per kilometer.The Cybercab will be showcased in multiple cities such as Beijing and Shanghai starting in mid-September. This exhibition does not involve the sale of the vehicle in China, nor does it represent that Tesla will conduct autonomous ride-hailing commercial operations domestically.

first_img Anthropic launches the Claude e-commerce intelligent agent blueprint

Anthropic announced the launch of a blueprint for building e-commerce agents on Claude, providing the framework, patterns, and guardrails needed by engineering teams. It includes reference implementations for shopping agents and merchant agents aimed at retail, travel, telecommunications, and ticketing platforms, as well as the Claude Code plugin. The code can be deployed on Claude API, Amazon Bedrock, Microsoft Foundry, or Google Cloud Vertex AI, and can collaborate with partners such as Accenture, Mastercard, and Visa. The related code has been published in the GitHub repository anthropics/commerce-agents.The company stated that retailers running shopping agents on Claude can increase shopping cart sizes by up to 35%, and the likelihood of shoppers completing purchases improves by 60%. Business clients such as Shopify and Priceline have used Claude to build agents that allow consumers to search, compare, and purchase products using natural language. Shopping agents can interface with catalogs, shopping carts, checkout, preferences, and order history, supporting multi-product planning, personalization, and customer service Q&A, while constraining prices and products with catalog data; merchant agents can answer sales performance, track inventory, suggest pricing and promotions, and draft marketing campaigns, proactively suggesting items to be launched after manual approval.
app_icon
ChainCatcher Building the Web3 world with innovations.