Arm一季度营收同比增长22%超预期，数据中心版税收入翻倍
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Bank of America raised its capital expenditure forecasts for Alphabet, Meta, and AWS.
According to BlockBeats, on July 8th, Bank of America revised its capital expenditure forecasts for Alphabet, Meta, and AWS upwards for 2026 and 2027. Alphabet's 2026 capital expenditure forecast was revised upwards from $187 billion to $195 billion, and its 2027 forecast from $257 billion to $290 billion. Meta's 2026 forecast was revised upwards from $130 billion to $145 billion, and its 2027 forecast from $157 billion to $185 billion. AWS's 2026 forecast remained at $159 billion, while its 2027 forecast was revised upwards from $196 billion to $230 billion.
Binance launches Smart DCA feature, dynamically adjusting dollar-cost averaging (DCA) amounts based on the Fear & Greed Index.
According to Foresight News , Binance has added a Smart DCA advanced option to its dollar-cost averaging (DCA) feature, automatically adjusting the amount invested each time based on the CoinMarketCap Fear & Greed Index. Users can set the amount allocation from 10% to 200% for the "oversold range" (0-40) and the "overbought range" (60-100), investing more during market panic and less during market euphoria. This feature applies to single-cryptocurrency DCA plans; it is not supported for stock tokens.
Four whale bought MU at the buy the dips, completing their position building at an average price of $1044.
According to BlockBeats, on July 2nd, Hyperinsight monitoring showed that as Micron Technology (MU) fell back above $1000, four whale on the Hyperliquid platform chose to buy the dips at a discount, opening a total position of $7.54 million, with an average opening price of $1044. The most recent entry (0xfb29) occurred within two hours, with an opening price of $1036 and a recent liquidation level at $953.9. Despite the entry of whale against the trend, the overall on-chain market still turned bearish, with the nominal size of large short positions being approximately 1.91 times that of long positions; the average price of long positions was approximately $1034.45, and that of short positions was approximately $993.65. On the news front, the non-farm payroll data is due tonight, fueling risk aversion; coupled with the sharp drop in the semiconductor sector triggered by Meta Compute, the recent class-action lawsuit against DRAM price manipulation, concerns about oversupply in the sector due to South Korea's $518 billion capacity expansion, and profit-taking after MU's stock price has already risen 268% this year, the stock price continues to be under pressure. - HyperInsight Bot is now live. Add @HyperInsightBot to the Telegram community and set it as an administrator (message sending permission required) to automatically sync on-chain information.
Citrini analyst Jukan: MediaTek reportedly has secured Meta as an ASIC customer, following its TPU offerings.
According to a post on the X platform by Citrini analyst Jukan, Odaily Odaily, supply chain sources indicate that MediaTek has essentially secured a second ASIC customer besides Google. If all goes as planned, this customer will be Meta, previously rumored. MediaTek, as is customary, does not publicly comment on individual products, customer situations, or market rumors. While Qualcomm currently appears to have key customers such as Meta, Microsoft, and ByteDance, industry insiders believe that MediaTek's continued deepening of its cooperation with Google and its potential to secure a second customer puts it at a disadvantage. Semiconductor supply chain sources state that, considering the order prospects and generational transition pace of major cloud service providers for AI data centers and ASIC products, Google remains the most aggressive and proactive major customer. MediaTek not only has two products codenamed Zebrafish and Humufish, but according to market information and confirmation from industry insiders familiar with ASICs, its participation in the v9 generation Triggerfish is almost certain. This means that from the end of 2026 to 2028, and even into 2029, MediaTek can reliably receive revenue contributions from TPU mass production. Compared to Qualcomm's $15 billion cloud AI revenue target for 2029, it's only a matter of time before MediaTek, holding multiple TPU ASIC orders, reaches the $10 billion level. The industry is also focused on whether MediaTek can successfully secure its second major cloud service provider client. Based on earlier market information and recent supply chain confirmations, MediaTek is still actively collaborating with Meta on ASIC products, likely focusing on AI acceleration chips. Meta recently partnered with Arm and Qualcomm, but the products are all CPU-oriented, with no further concrete news regarding its self-developed AI acceleration chips. IC design industry insiders say that Meta's recent cloud AI development strategy has indeed been rather chaotic and unclear, with multiple adjustments to its internal chip development plans, seeking multiple partners and adopting different solutions in the CPU field alone. Regarding AI acceleration chips, although Meta has officially announced its collaboration with Broadcom, supply chain sources indicate that this has not interrupted the ongoing collaboration between MediaTek and Meta. IC design industry professionals also emphasized that MediaTek and Qualcomm's cloud AI development blueprints are still significantly different. MediaTek is concentrating all its resources on ASIC business, while Qualcomm plans to simultaneously promote customization and standardization, while also covering AI acceleration chips and CPU products.
SemiAnalysis breaks down enterprise AI budgets: Meta once consumed 70 trillion tokens in a single month, but the real risk isn't that customers are no longer using AI.
According to BlockBeats, on July 1st, enterprise AI usage is shifting from "use as much as possible" to "use within limits." SemiAnalysis, in its Token Budgeting report released on July 1st, stated that the tokenmaxing trend popular at the beginning of the year—encouraging employees to consume as many AI tokens as possible to boost productivity—is being replaced by more realistic budgeting systems. However, the firm believes that media narratives about companies cutting AI spending are exaggerated, and OpenAI and Anthropic's API businesses did not face substantial budget risks in the second half of the year. The SemiAnalysis team stated that after communicating with over 50 enterprise clients via Slack, phone calls, and the Databricks AI Summit, they found that while most companies are indeed starting to set caps on AI usage, a unified standard has not yet been established. Low-end budgets may be only $250 to $500 per person per month, while high-end budgets can reach $2,000 or even tens of thousands of dollars per month. A major US aerospace and defense manufacturer set a monthly budget of $250 for some employees, while a major pharmaceutical company set it at $500; more cutting-edge technology companies like Workday and Stripe have budgets of around $2,000 per month for some employees. This contrasts with the "token maximization" trend at the beginning of the year. The report mentions that companies like Meta and Salesforce encouraged employees to use AI tools extensively. Meta even had an internal dashboard called "Claudeconomics" that ranked the company's top 250 heavy users. Data showed that Meta employees consumed over 60 trillion tokens in 30 days, with the highest single user consuming approximately 280 billion tokens. This dashboard was shut down two days after the related reports. Uber was also reported to have exhausted the annual budgets of Claude Code and Codex within four months, subsequently setting a limit of $1,500 per person per month, with any excess requests requiring case-by-case approval. However, SemiAnalysis believes these extreme cases reflect loose incentive mechanisms and management rather than a general peak in enterprise AI spending. The report states that the top 10% of high-spending clients contribute the majority of AI lab revenue, and these clients are at low risk of cutting API spending for the remainder of the year. Even though Meta consumed approximately 70 trillion tokens per month in February, and at a price of nearly $50,000 per employee per year, SemiAnalysis estimates this still only accounts for 3% to 5% of Anthropic's revenue. Enterprise spending is also highly unevenly distributed. SemiAnalysis cites Ramp data stating that the top 1% of clients spend an average of [missing data - likely referring to a specific amount of money] per employee per year...
Strategy sold over $200 million worth of BTC in a single week, while Metaplanet made its first BTC purchase in ten weeks.
According to data from SoSoValue, as of 8:00 AM Odaily on July 6, 2026, the total net purchase of Bitcoin by global listed companies (excluding mining companies) last week was $10.57 million, a decrease of 27.85% compared to the previous week. Strategy (formerly MicroStrategy) sold 1,363 bitcoins for approximately $80.8 million on June 30, at an average price of $59,256, reducing its holdings to 846,000 bitcoins; on July 5, it sold another 2,225 bitcoins for approximately $135 million, at an average price of $60,773, further reducing its holdings to 843,775 bitcoins. For the first time in 10 weeks, Japanese listed company Metaplanet announced an investment of $225 million to purchase 2,823 bitcoins at a price of $79,664, bringing its total holdings to 40,177 bitcoins. In addition, two other companies purchased Bitcoin last week. Brazilian Bitcoin company OrangeBTC announced on July 5th that it purchased 1 Bitcoin, the exact amount of which was not disclosed, bringing its total holdings to 3,897 Bitcoins. Asset management company Strive announced on July 6th that it spent $1.68 million to purchase 17.76 Bitcoins at a price of $64,761, bringing its total holdings to 19,882 Bitcoins. As of press time, the total number of Bitcoins held by listed companies worldwide (excluding mining companies) is 1,141,812, a decrease of 0.04% compared to last week. The current market value is approximately $70.3 billion, accounting for 5.7% of Bitcoin's circulating market capitalization.