Last week, funds have flowed into #Bitcoin, #Ethereum, and #Hyperliquid.

According to U.S. network CBS, citing a U.S. official, despite Trump’s earlier announcement that negotiations with Iran would begin Monday afternoon (local time), no new talks are currently scheduled. Instead, ongoing discussions are underway between U.S. Middle East envoy Witkoff, Kushner, and the U.S. negotiating team and Iran via intermediaries.

In July’s crypto asset ETF fund flows, Ethereum (ETH) ETFs emerged as the biggest winner, posting a single-month net inflow of $365 million. Data shows Bitcoin (BTC) ETFs saw a net inflow of $172.43 million in July; Solana (SOL) ETFs had a net inflow of $14.62 million; XRP ETFs $27.29 million; Chainlink (LINK) ETFs $4.54 million; HBAR ETFs $3 million; and LTC ETFs $30,400. By contrast, HYPE-related ETFs were the only products to register a net outflow, with a July net outflow of $15.16 million. Overall, institutional capital allocations in July clearly favored the Ethereum ecosystem, as ETH ETFs attracted more funds than BTC ETFs, indicating sustained growing market demand for Ethereum-related assets.

According to market data from Bit (Bit.com), the Nasdaq’s gain widened to 2%, the S&P 500 rose 1.3%, and the Dow rose 1%. Oracle (ORCL.N) climbed 7.3%, Google (GOOG.O) gained over 5%, Amazon (AMZN.O) and Microsoft (MSFT.O) rose over 4%, Tesla (TSLA.O) increased 3.8%, and Nvidia (NVDA.O) gained 3.2%.

NVIDIA CEO Jensen Huang said the wave of AI infrastructure development will not only drive growth in the software sector, but also create numerous high-paying technical jobs that do not require a college degree. Speaking in a conversation with BlackRock CEO Larry Fink at the World Economic Forum in Davos, Huang noted that the world is undertaking "the largest infrastructure build in human history," with large-scale construction of AI data centers, semiconductor factories, and AI facilities set to generate massive employment opportunities. He pointed out that future high-paying roles will not only include software engineers and computer scientists, but also electricians, plumbers, steelworkers, and data center construction and maintenance personnel. "You don’t need a computer science PhD to earn a good income," he said. Global tech firms are projected to invest around $7 trillion in AI infrastructure by the end of this decade. As data centers and semiconductor facilities expand rapidly, demand for skilled industrial workers is rising steadily. McKinsey data shows that between 2023 and 2030, the U.S. will need an additional roughly 130,000 trained electricians, 240,000 construction workers, and 150,000 construction supervisors to meet infrastructure build requirements. Meanwhile, the impact of AI on traditional white-collar job markets has drawn attention. Ford CEO Jim Farley noted that AI is reducing demand for entry-level roles at tech companies, but the U.S. manufacturing and construction sectors still face severe labor shortages. Farley added that the U.S. is currently grappling with a major shortage of factory and construction workers, and future AI-driven reshoring of manufacturing and infrastructure investments will require more skilled industrial talent. BlackRock CEO Larry Fink has previously emphasized that skilled technical workers like electricians are critical for building and operating large AI data centers.

Data released by Tether shows that its tokenized gold product Tether Gold (XAU?) saw a 9.5% rise in investor holdings during the second quarter of 2026, reflecting sustained growing demand for on-chain gold assets. The data indicates that despite a 14.1% drop in gold prices in Q2, investors continued to add to their XAU? positions, showing that market demand is not solely driven by bullish gold trends—some investors are taking advantage of price pullbacks to increase their exposure to physical gold. As of June 30, 2026, XAU? is fully backed by physical gold at a 1:1 ratio, with total gold reserves amounting to 707,747.139 troy ounces, equivalent to approximately 22.01 tons and valued at around $2.837 billion. By the end of Q2, 612,823.66 XAU? tokens had been issued, up 53,225.02 from 559,598.64 at the end of Q1, corresponding to an additional 1.66 tons of physical gold held by investors, representing a roughly 9.5% rise in client holdings. Tether noted that XAU?’s gold reserves remained unchanged throughout the quarter, with every token backed by at least one troy ounce of physical gold. The gold is stored in Swiss vaults, including 1,759 London Good Delivery standard bars and other bars of various specifications. Tether CEO Paolo Ardoino said that gold experienced its largest quarterly decline in 13 years during Q2, yet investors continued to buy XAU?, indicating that tokenized gold is becoming a new way for investors to allocate to physical gold. Additionally, data from Tether International SA de CV shows that the company purchased a total of about 27.1 tons of gold in the first half of 2026, with an average monthly procurement of roughly 4.5 tons. If included in central bank gold purchase rankings, its total gold holdings would stand at approximately 150 tons, ranking third in global gold accumulation during the period, second only to Poland and China.

Hugging Face CEO Clément Delangue stated that the self-initiated cyberattack by an OpenAI test model is an "unprecedented" case in the artificial intelligence industry, and called on the U.S. to establish a legal regulatory framework for autonomous AI systems. In an interview, Delangue noted this marks the first time a "highly autonomous system has carried out such attack actions," highlighting new cybersecurity risks posed by AI agents. He argued that companies should be required to disclose incidents where AI systems autonomously perform network operations, and clear legal boundaries should be defined. Earlier, OpenAI disclosed that one of its unreleased AI models broke free from a controlled environment during security testing, connected to the internet, and launched a complex attack on the Hugging Face platform. The model used a combination of multiple attack techniques to attempt to obtain information needed for internal security assessment tasks, OpenAI said. Hugging Face later found the AI agent executed over 17,000 operations over several days before being stopped by its security team. Hugging Face added that it used open-source AI models to complete incident analysis and successfully fended off the intrusion. Delangue emphasized he does not believe OpenAI acted maliciously, but the incident reflects that developers may lose control over highly autonomous AI systems during testing. He called on the U.S. government to explicitly ban autonomous AI cyberattacks and mandate companies to report when their AI systems independently perform network operations. "Only through transparent disclosure can we understand technical risks and build safer systems."