spending

Alphabet (GOOG.O) executives stated that spending by Gemini enterprise customers has increased more than three times year-on-year.

The Federal Reserve FOMC statement pointed out that despite high uncertainty, domestic spending remains resilient.

According to a report by Reuters, the Bank of Korea warned that if large American technology companies slow down their capital expenditures in the field of artificial intelligence next year, South Korea's semiconductor exports could decrease by $50 billion to $100 billion compared to previous forecasts. The Bank of Korea simulated this scenario in a written response submitted to National Assembly member Ahn Doo-hyeon, assuming a 10% drop in the unit price of South Korean semiconductor products.In this scenario, South Korea's GDP growth rate in 2027 would be reduced by about 0.4 percentage points, and the current account surplus would be far below the previously estimated $430 billion. South Korea's chip exports account for about half of the country's total exports. Capital expenditures by Amazon, Google, Microsoft, Meta, and Oracle are expected to increase from $40 billion last year to $80 billion this year, reaching $110 billion next year.The Bank of Korea pointed out that there is still significant uncertainty regarding AI demand trends and the cycle of the memory chip industry. If technology giants cut back on investments in AI infrastructure, South Korea's chip exports and overall economic growth could be impacted.

The credit risk indicators of Meta Platforms have soared to an all-time high, and bond prices have fallen. The company plans to increase capital expenditures, raising market concerns about the rising debt for AI infrastructure.The five-year credit default swap prices rose by 8.9 basis points, reaching approximately 119.3 basis points per year. Meta stated it will invest about $825 billion in AI-related leases and contracts.

Meta Platforms (META.O) future spending commitments soar to $825 billion.

According to Bloomberg's report on October 22, Huawei Technologies Co., Ltd. has secured a loan of 15 billion yuan (approximately 2.25 billion USD), amid a significant increase in chip spending for artificial intelligence-related projects. A knowledgeable source stated that this seven-year offshore yuan loan was provided by six Chinese lending institutions, including Bank of China, China Construction Bank, and Industrial and Commercial Bank of China, and the funds will be used for general corporate purposes. The source requested anonymity as the discussion pertains to non-public matters.According to Moneycontrol, which reprinted the content attributed to Bloomberg, this transaction illustrates the role of domestic lending institutions in Huawei's offshore financing since the United States imposed restrictions on Huawei in 2019. Before finalizing, Huawei had exploratory contacts with international banks. Huawei, Bank of China, China Construction Bank, and Industrial and Commercial Bank of China did not immediately respond to requests for comment.The report states that Huawei's research and development expenditure increased to 121 billion yuan in the first half of this year, while stockpiling due to soaring memory costs led to a negative cash flow of 39.9 billion yuan, eroding current profits. According to compiled data from Bloomberg, this is Huawei's first offshore syndicated loan since raising 11.8 billion Hong Kong dollars (approximately 1.5 billion USD) in 2020.

According to Ramp's tracking of payment data from over 70,000 U.S. companies, approximately 80% of Anthropic and OpenAI's enterprise revenue comes from the top 1% of clients. In August and September, enterprise Token spending saw nearly zero growth for two consecutive months; although it reached a historical high at the beginning of October, it was only 1.5% higher than the peak in August.According to Ornn data, the actual Token price index for Anthropic fell from over $1.70 in mid-September to $0.83, a decline of more than 50%, while OpenAI's corresponding index was $0.45. According to YipitData, the top 1% of Anthropic's clients contributed 46% of revenue in August, up from 25% a year ago. Ramp data shows that the paid adoption rate for enterprise AI in September only increased by 0.62 percentage points to 55.9%. Ramp's chief economist Ara Kharazian believes that growth is shifting from expanding the paid user base to enhancing the depth of use among existing users.Goldman Sachs warns that the growth rate of Token demand must exceed the decline in prices to support sustained investment in computing power. Apollo's chief economist Torsten Slok pointed out that companies are highly sensitive to computing power prices, and price reductions may not necessarily lead to sufficient new demand. Goldman Sachs data also shows that the realized return on invested capital for Amazon, Alphabet, Meta, Microsoft, and Oracle has dropped from 40% to 25%, the lowest since 2016.

AWS Chief Financial Officer John Felton stated that spending on AI infrastructure and services is sustainable because it drives substantial innovation. AWS's AI capital expenditures are yielding returns, with a backlog of nearly $500 billion, including clients from large enterprises and small to medium-sized businesses.Felton mentioned that the return on investment for AI servers is less than three years, and AWS is achieving significant returns on investment and productivity improvements, planning to further increase its investments.

Morgan Stanley CEO Ted Pick expects that the annual spending in the field of artificial intelligence will remain around $1 trillion in the next 5 to 10 years. He stated that the role of banks is to regulate the pace of AI capital expenditures to adapt to market demand.

As companies make significant investments in AI infrastructure, American businesses are about to welcome a strong quarterly earnings season. Goldman Sachs expects that the earnings of S&P 500 constituent companies will grow by 27% year-over-year in the September quarter. Société Générale stated that this will be the third consecutive quarter of earnings growth exceeding 25%.

Hon Hai Precision announced quarterly revenue of 3.03 trillion New Taiwan Dollars (95.4 billion USD), a year-on-year increase of 47%, exceeding analysts' expectations of 2.83 trillion New Taiwan Dollars. As a partner of NVIDIA, Hon Hai benefits from the global cloud computing infrastructure development, and its sales performance is regarded as an important indicator of the AI industry's prosperity.

Tibo from the OpenAI Codex team posted on X that the team will reopen the $200 Pro subscription to new users tomorrow and adjust the usage calculation method for the plan. According to his calculations, the adjusted subscription's corresponding API expenditure will be equivalent to half of the old $200 Pro plan.Tibo stated that the team does not wish to compromise in other ways and promised not to restore the 5-hour usage limit, allowing users to use their weekly quota as needed. He also mentioned that subscriptions should allow users to accomplish more work and achieve higher quality with the same expenditure as model efficiency improves and API prices decrease. This week, the team has reduced the prices of GPT-6 Sol and GPT-6 Luna to 50% of their previous prices and intends to continue lowering prices and enhancing capabilities, rather than raising API prices and then offering discounts.Tibo also revealed that tomorrow, several content items that do not consume usage quotas will be added to the subscription, but specific items have not yet been disclosed. He stated that this advance notice of the adjustment in the calculation method is to inform users of this change before subsequent announcements related to the subscription.

Goldman Sachs expects that the five largest hyperscale cloud service providers in the United States will increase their spending on artificial intelligence infrastructure by 54% by 2027, reaching $1.2 trillion, exceeding Wall Street's expectations.

OpenRouter's latest data shows that last week, user spending on OpenAI models surpassed that of Anthropic. This is the first time since February 2024 that Anthropic's two-and-a-half-year lead has been broken. The biggest change came from Astra, whose model accounted for about 19% of the total spending on OpenAI and Anthropic, surpassing Opus 5's 16%, making it the highest-spending model last week, while GPT-5.6 Sol and Luna each accounted for about 10%.OpenAI's rebound had actually begun earlier. After significant price reductions for Terra and Luna this summer, usage on OpenRouter surged, with some users continuing to use it even after the discounts ended. After Astra launched, OpenAI ultimately pushed its spending share above 50%. However, this only represents the relative spending of OpenAI and Anthropic on OpenRouter and cannot be directly equated to the entire API market or the total revenue of the two companies.

According to on-chain analyst Yu Jin's monitoring, a certain whale has completed a cross-chain purchase of BTC. Over the past 4 days, this whale has spent 85.42 million USDC to buy 1075.6 BTC, with an average cost of 79,412 dollars, which includes approximately 170,000 dollars in exchange fees paid to THORChain.

According to monitoring by Lookonchain, a certain whale has heavily purchased the Solana token issuance platform StonkFun's token STONK. A newly created wallet BmKrss withdrew 22,686 SOL from Binance, worth 2.25 million dollars, and has currently spent 17,106 SOL (1.7 million dollars) to buy 5.41 million STONK.

Peach Bitcoin stated that Swiss regulators are seeking to re-examine the compliance framework of its KYC-exempt peer-to-peer Bitcoin trading platform, which has been authorized to operate since 2022. Peach Bitcoin will temporarily exit the custodial process starting from September 1, 2026, and will adopt a non-custodial model during the appeal period.In the temporary model, only users who have completed KYC, been manually whitelisted, or meet transaction record requirements can create sell orders. Sellers who have not completed KYC can only participate in one ongoing transaction at a time. The buying function remains open to all users, with a single transaction limit of 500 Swiss francs and a maximum premium of 6%. The in-app dispute resolution system will still be available, but Peach Bitcoin will no longer sign in custody and will continue to charge a 2% fee from released transactions.Peach Bitcoin founder @proofofsteph stated that the company will not immediately abandon the KYC-exempt model and will communicate with regulators regarding its position; if the final appeal fails, the company will comply with regulatory decisions.

Research institution Digitimes stated that with the surge in AI-driven infrastructure spending, major cloud service providers are expected to place greater emphasis on operational efficiency and financial discipline in the second half of 2026. Amazon, Alphabet, and Microsoft reported a combined cloud business revenue of $106.3 billion in the second quarter, with an annual growth rate accelerating to 43%. These companies are expected to increase their total capital expenditures to $74.5 billion.

FundaAI released a research report on enterprise AI applications, indicating that enterprise AI budgets are still expanding, but there is a divergence in trajectories in the second half of 2026 and 2027. The AI spending guidance from large U.S. telecom operator A shows an increase from a baseline of 100 in January to about 190 in December, with an expected year-on-year increase of 40%--50% in 2027; large European automaker A has only increased by 10%--15% so far this year, with guidance for next year remaining roughly flat.Incremental spending is shifting from paid seats to API/Token consumption and production workflows. The aforementioned telecom operator's subscription and API ratio has changed from about 50%/50% to 40%/60%, and it may trend towards 35%/65%; mid-to-large biopharmaceutical company A has adjusted from 80%/20% to about 70%/30%. Open-source adoption is uneven, with active scenario usage accounting for 30%--40%, as the unit price is lower, leading to a smaller spending proportion; experts estimate that open-source inference can be about 40%--70% cheaper than closed-source cutting-edge models, with the gap narrowing to 20%--40% under full cost metrics, and model routing, caching, and context compression could further reduce API spending by about 20%--30%.On the production side, AI budgets are increasingly built from the bottom up based on workflow ROI. The typical production ROI for this telecom operator is about 1.5--2 times, with a payback period of 6--18 months, and mature use cases can reach 3--5 times. The next wave of spending is related to agents, software modernization, network operations, commoditized workflows, and longer-cycle business processes, but engineering capacity, process reengineering, governance, and data readiness are becoming tighter constraints than funding.