Google searches for stablecoins plummeted by more than 50% this month, and supply expansion has stalled.
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Accelerating its global expansion, my country's robot exports reached nearly 20 billion yuan in the first five months of this year.
This year, my country's robot exports have continued to expand, with a constantly optimized product structure, injecting new momentum into the globalization of high-end manufacturing. According to customs statistics, in the first five months of this year, domestically produced robots accelerated their global expansion. A total of 10.377 million robots, listed separately, were exported, with a total export value of 19.99 billion yuan, reaching more than 150 countries and regions worldwide. The EU and ASEAN were the main export destinations. Looking at specific categories, my country's robot exports have formed a diversified matrix. Cleaning robots lead all categories, with exports reaching 14 billion yuan, accounting for more than 70% of the total robot export value. Relying on core technologies such as autonomous navigation, automatic dust collection, and intelligent wastewater recycling, domestically produced cleaning robots accurately match the diverse living environments overseas, demonstrating significant advantages. In the industrial application sector, approximately 70,000 domestically produced industrial robots were exported in the first five months, with overseas application scenarios continuing to expand. Handling robots equipped with visual recognition and intelligent algorithms are widely used in large-scale overseas infrastructure and transportation projects; welding robots with automatic scanning and modeling functions can calculate the optimal process solution in real time; and collaborative robots are playing a significant role in overseas food, pharmaceutical, and daily chemical light manufacturing industries. In cutting-edge emerging sectors, over 8,000 intelligent bionic robots have been exported, covering diverse scenarios such as equipment inspection, scientific research and teaching, and public services. Leveraging China's complete and comprehensive industrial chain, the export scale of domestically produced robots is steadily expanding. (CCTV News)
Opinion: Micron's net profit is expected to surpass Apple's next quarter; capacity expansion will eventually lead to a supply-demand reversal.
According to Mars Finance, on July 1st, Charlie Bilello, Chief Market Strategist at Creative Planning, published an article pointing out that the booming demand for high-bandwidth memory driven by AI is disrupting the power structure of the technology industry chain. Charlie used a set of net profit comparison data to visually illustrate this shift: Micron's net profit increased 15 times in one year to approximately $28 billion, and is expected to surpass Apple's approximately $29.6 billion next quarter. For a long time, Apple has had absolute pricing power over suppliers due to its strong brand position, but in the face of shortages of key AI-driven components, even the strongest consumer brand has to accept the price settings set by memory manufacturers. Bilello cited the classic economic principle that "the cure for high prices is high prices," and this imbalance will not last forever; high profits will eventually stimulate capacity expansion. Micron had previously hovered around the break-even point for a long time, but in the past two years, its profits have risen sharply with the AI boom, while Apple has maintained a high level but with slower fluctuations. The essence of this power shift is that the massive demand for HBM and DRAM from AI servers has occupied the capacity and bargaining power of memory manufacturers, forcing end-device brands to bear the cost transmission. The market's pricing for this is equally rational—despite Micron's soaring profits, its valuation multiple is still far lower than Apple's, because investors are well aware of the strong cyclicality of the memory industry, and high profits often foreshadow future waves of capital expenditure and the risk of supply-demand reversals.
Grid bottlenecks have become the biggest obstacle to the expansion of AI computing power, with over 2,500 gigawatt projects worldwide waiting to be connected to the grid.
According to BlockBeats, on June 30th, the expansion of artificial intelligence infrastructure is facing a severe power supply bottleneck: data center construction cycles are typically measured in years, while grid expansion often takes more than a decade, and this time mismatch is reshaping the global AI deployment landscape. According to the International Energy Agency (IEA), projects worldwide, including renewable energy, energy storage, and large-scale new loads such as data centers, currently have over 2,500 gigawatts of capacity waiting to be connected to the grid. Texas, USA, is particularly affected, with ERCOT tracking over 438 gigawatts of large-scale load grid connection applications, nearly 90% of which are from data centers. The first feasible transmission plan is not expected to be released until the fall of 2027. Faced with this predicament, mega-corporations such as Microsoft, Google, and Amazon have turned to direct investment in stable power sources to bypass the congested public power grid: Microsoft signed a 20-year agreement to support the restart of a nuclear power unit in 2028; Google pledged to invest in multiple small modular reactors and strive for first power generation by 2030; and Amazon acquired a campus near a nuclear power plant and secured gas-fired power supply through the Chevron Kilby project, planning to gradually increase its capacity to 2.67 gigawatts. Meanwhile, the U.S. Federal Energy Regulatory Commission issued a "Statement Order" in June, requiring grid operators to explain cost-sharing and co-location arrangements for large loads, gradually tightening the previously regulatory gray area. Capital response paths also vary by region. In higher-risk markets, Gulf sovereign wealth funds are shifting from passive allocation to direct equity participation. These include Saudi Arabia's PIF's HUMAIN, Abu Dhabi's MGX, the Qatar Investment Authority, and the Temasek/Kuwait Investment Authority, using patient capital to fill commercial financing gaps. Meanwhile, Turkey faces challenges due to restrictions on private power generation permits and a TEİAŞ monopoly on grid transmission, making it difficult to replicate the US experience in the short term for private nuclear power and captive power plant models. The key variable determining the next round of computing infrastructure development is no longer chip performance or cost curves, but rather whether specific nodes can deliver licensed, dispatchable power within a 24-48 month commercial window. --------------------------------- Click the original link below to join Beating · Lark AI news channel for 24/7 monitoring of global AI hotspots and news.
Analysis: The pullback in the US memory sector may be due to expectations of supply expansion from Samsung and SK Hynix.
According to Odaily Odaily, the memory sector faced pressure after the US stock market opened today, with Micron Technology and SanDisk shares both falling sharply. Analysts point out that Samsung and SK Hynix previously announced an investment plan of approximately 800 trillion won to build a new chip manufacturing hub, which will account for about two-thirds of global memory chip production capacity. This new capacity plan may create new anticipated pressure on the FY27–FY28 supply curve, reigniting discussions about the industry's supply-demand balance. Currently, market reactions are diverging: DRAM/NAND stocks are under more significant pressure, while companies primarily focused on memory infrastructure or hard drive businesses are relatively more resilient. Industry insiders believe that this news has not changed the short-term supply and demand pattern for the second half of 2026, but it may weaken the recent market optimism regarding "supply discipline driving price increases." The industry will still need new price or demand data to support the valuation expansion logic. (Washingtonpost)
ZachXBT: LAB has plummeted 85% in 24 hours; trading this token is not recommended.
According to ChainCatcher, on-chain investigator ZachXBT stated that the LAB token has plummeted from $14 to less than $2 in the past 24 hours, a drop of approximately 85%, resulting in a significant reduction in its fully diluted valuation (FDV) from approximately $14 billion. ZachXBT expressed disappointment that Binance, Bitget, and Gate failed to take proactive measures to prevent price manipulation, stating that if centralized exchanges truly valued user interests, they should at least return the profits of accounts suspected of market manipulation to users. He further pointed out that LAB investors were originally scheduled to begin unlocking their tokens later this month, but the vesting arrangements have been repeatedly altered. Insiders have long controlled almost the entire circulating supply and have been using market makers to conduct extreme price manipulation on centralized exchanges; therefore, he "does not recommend trading LAB under any circumstances."
Myanmar's AI-driven telecom fraud industry exposed: Starlink becomes key infrastructure, encrypted payments and OpenAI/Google models incorporated into toolchains.
A leaked investigative report from a Myanmar scam Odaily park reveals that global telecom fraud is rapidly evolving towards an "AI industrialization + cross-border encrypted payment" system. These fraud networks use cryptocurrencies to transfer funds and employ automated tools based on large models for multilingual script generation, identity spoofing, and emotional manipulation. The investigation shows that these systems heavily utilize OpenAI's ChatGPT and Google's Gemini to support "large-scale social media fraud," while funds are rapidly laundered and transferred through on-chain payments and cross-border channels, forming a two-tiered structure of "AI customer acquisition + encrypted settlement," enabling the fraud industry to achieve high automation and transnational expansion capabilities. Furthermore, Elon Musk's Starlink has become the leading network service provider in the Myanmar scam industrial park, with US ISPs handling nearly one-fifth of the park's traffic. In response to the allegations, OpenAI stated that fraudsters using ChatGPT behave in a manner highly similar to ordinary users, making identification difficult. However, they have been using behavioral pattern recognition and risk control systems to ban approximately 100,000 suspicious accounts monthly. Google stated that its AI models have security safeguards in place and emphasized its commitment to "responsible AI development" to limit the use of tools for fraudulent and other illegal purposes. (Red Star News)