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first_img Chainalysis: Cryptocurrency economic activity decreased by only 1.6% in a year, with a market value shrinkage of 2.1 trillion USD

According to The Block, based on the seventh annual Geographies report by blockchain analysis company Chainalysis, during the 12 months ending June 30, 2026, the scale of global cryptocurrency economic activity shrank by only 1.6%, from $9.5 trillion to $9.4 trillion. During the same period, the total market capitalization of the cryptocurrency market fell by about 50%, shrinking by $2.1 trillion, marking the most severe cryptocurrency bear market since 2022. The report states that the decline in economic activity is much smaller than the decline in market capitalization.Capital flows showed divergence. Funds flowing into exchanges, DeFi protocols, and other cryptocurrency services decreased by 4.3% to $8.9 trillion; domestic P2P transfers surged by 302.9% to $228.7 billion; cross-border stablecoin flows grew by 77.5%, rising from $124.2 billion to $220.3 billion. Chainalysis noted that its cross-border statistics are somewhat conservative, as they exclude transfers where the sending and receiving countries cannot be confirmed, and pointed out that this growth comes from payments averaging about $3,000, which are far from institutional levels and more aligned with everyday use cases such as personal payments to vendors, cross-border remittances, or transferring savings.Stablecoins demonstrated better value retention during the market capitalization decline compared to other cryptocurrency assets, with global on-chain balances dropping from $860 billion in September 2025 to $440 billion in June 2026, while stablecoin balances remained between $98 billion and $109 billion during this period.

SharpLink CEO: AI agents will reconstruct the financial system, potentially creating $40 trillion in value annually by 2035

SharpLink CEO Joseph Chalom stated that as AI agents integrate with stablecoins, tokenization of real-world assets, and DeFi, the global financial services industry will face a revenue redistribution of over $1 trillion annually by 2030, potentially reaching $4 trillion by 2035.Chalom indicated that AI agents will become the automation layer of the new financial system, capable of continuously managing investors' financial activities, including finding lower banking, trading, and borrowing costs, optimizing savings returns, constructing portfolios, dynamic rebalancing, and managing loans and credit card debt. He anticipates that by 2030, AI agents could save investors about $350 billion annually by reducing fees, with this figure increasing to $1.4 trillion by 2035, equivalent to eliminating nearly a quarter of the costs in the global financial industry.Stablecoins, tokenized real-world assets, and DeFi will provide AI agents with 24/7 programmable financial infrastructure, enabling agents to view asset ownership, prices, collateral requirements, and lending opportunities within the same blockchain environment, and autonomously complete asset transfers, collateralization, lending, and settlement. He also mentioned that financial institutions including Visa, Mastercard, Stripe, PayPal, Circle, Tether, Robinhood, Coinbase, Binance, as well as JPMorgan, Citigroup, and BlackRock are competing for the infrastructure and user entry points of the AI agent financial ecosystem. Whoever controls the infrastructure and agents may capture the value generated when agents trade on behalf of clients.Additionally, Chalom pointed out that the infrastructure such as the x402 machine-to-machine stablecoin payment standard launched by Coinbase and Ethereum's ERC-8004 agent identity protocol is forming a new open agent economy. More than 10,000 AI agents have completed registration within 10 weeks of the ERC-8004 going live.

Meta rolled back Muse for phone call testing, with some calls completed by real people

According to internal information obtained by 404 Media and Reuters, after Meta expanded the Muse "Call for You" testing, it was revealed that some calls were actually completed by real people. Muse can transfer tasks to real contractors at call centers, who then make calls on behalf of users and fulfill requests. Some testers only realized there was human intervention after the call ended.Meta adopted this approach mainly to improve success rates. Internal testing showed that the success rate of phone tasks could reach 95% to 98% with human intervention, higher than pure AI. Some merchants hang up directly when they hear the other party is AI, and there are also testers in the community who reported that merchants hung up after Muse identified itself as an AI assistant.Human intervention raises privacy concerns, as users originally believed their information was only shared with AI, but it may actually be seen by outsourced personnel. Some people within Meta also questioned that providing privacy training to contractors does not equate to a real safety mechanism. A Meta official later admitted that failing to inform testers in advance about human intervention was a mistake, and this feature has been rolled back. Meta stated that the phone function is still in testing and will only be officially launched after ensuring safety, privacy, and clear communication.
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