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Analysis: Global debt continues to rise, Bitcoin benefits from the decline in fiat currency purchasing power

According to Forbes, Bitcoin approached $90,000 earlier this month. Meanwhile, global debt continues to rise, and the "currency depreciation trade" surrounding the decline in purchasing power of fiat currency has become one of the factors driving up assets like Bitcoin and gold.Data from the Institute of International Finance shows that global debt increased by $10 trillion in the first half of this year, surpassing $365 trillion in total. The U.S. debt has exceeded $40 trillion, with annual interest payments rising to $1.27 trillion, surpassing defense and Medicare spending, and only lower than Social Security spending. The institute warns that as benchmark interest rates rise, interest costs will also increase.Nic Puckrin, founder of Coin Bureau and cross-asset analyst, stated that the current environment is favorable for "currency depreciation assets" like Bitcoin and gold, which is part of the reason for Bitcoin's recent rise. The larger the debt of major economies, the more likely it is to suppress real borrowing costs and allow inflation to erode the real value of debt, thereby enhancing the attractiveness of such trades.Analysts from The Kobeissi Letter pointed out that the purchasing power of the dollar has declined by 23% since 2020; if assets only increased by 30% during the same period, investors have essentially just broken even in terms of real purchasing power. The U.S. inflation rate has been above the Federal Reserve's 2% target for 60 consecutive months.

Arthur Hayes: AI "Safety First" is essentially a destruction of computing power demand; the U.S. government's ultimate choice in all scenarios is to print money, which ultimately benefits Bitcoin

Arthur Hayes published a new long article titled "Safety First," with the core argument that the claims of "safety first" by Anthropic, OpenAI, and SpaceX, which lead to a slowdown in AGI development, are not out of concern for human welfare but rather due to economic realities. The market does not want AI; it wants AI at "Chinese prices," meaning it needs intelligence that is 100 times cheaper than what is currently available. Hayes points out that "safety first" essentially destroys the demand for computing power. If the spending on training new models decreases and laboratories shift towards efficiency optimization, customers will spend less on computing power. The three major AI laboratories do not generate any profits, and their demand for computing power supports over $10 trillion in investment-grade debt and hundreds of billions in low-quality debt, which rely on profitable tech companies like Nvidia, Broadcom, Google, and Microsoft for off-balance-sheet endorsements. The real backstop is the holders of insurance policies in the United States.Hayes cites an analysis by Nick Nameth that reveals a "self-insurance scam": private equity giants (such as Apollo, KKR, Brookfield, etc.) acquire insurance companies, stuffing AI data center debt and SaaS private credit impacted by AI into insurance assets, and then provide false endorsements with minimal capital through affiliated self-insurance reinsurance companies. Nameth estimates that the total amount of these false reinsurance assets reaches $1.54 trillion. Once the AI data center debt is downgraded by rating agencies due to insufficient demand for computing power, insurance companies will be forced to add capital, while the affiliated reinsurance companies will be unable to pay, leading to insolvency for the insurance companies. In most states in the U.S., the insurance protection limit is only $250,000 to $300,000, and existing insurance companies only pay into the protection fund afterward, which encourages all parties involved to maximize risk-taking. When AIG was bailed out in 2008, TARP funds ultimately flowed to Goldman Sachs and led to record bonuses, while the general public only received foreclosure notices; Hayes believes this scenario will repeat itself.For cryptocurrency investors, the conclusion is a win-win situation. If the U.S. government chooses to become the "last buyer of computing power," it will print money in the name of national security to fund unproductive economic goods, driving up financial speculation and Bitcoin prices; if the government chooses to bail out insolvent insurance companies, it will also need to print money to cover bad AI debts, increasing the money supply and pushing up Bitcoin. Hayes specifically points out that the Federal Reserve voted unanimously last week to raise interest rates by 25 basis points, and RMP bond purchases have stopped since August 14, but commercial banks have taken over to create over $100 billion in currency, and the interest rate hike allows banks to earn an additional $7.5 billion in excess reserve interest each year. This money will be used to expand loans and market speculation, and the net effect remains stimulative. The fluctuations in the cryptocurrency market, which saw a slight increase at the end of August, are about to end, the supply of dollars will continue to grow, and Bitcoin and some selected altcoins will rise. Hayes also described this situation as "incredibly wonderful," stating that the government will not allow the free market to stop building AI data centers, there will be an oversupply of spot computing power, the usage of AI agents will increase, and the surge in money printing will drive investors to chase cryptocurrency assets.

Bitget launched the 8th anniversary "VIP Summit" program, unlocking direct VIP 7 benefits

Bitget launched the "VIP Summit" program on its 8th anniversary, opening a direct channel to VIP 7 for professional traders. Eligible historical high-level VIPs and newly promoted VIPs can apply for a 30-day VIP 7 experience card without needing to upgrade step by step. During the event, completing trading challenges can also extend the VIP 7 experience period to 4 months, with opportunities to receive limited gifts and exclusive dinner invitations.The VIP Summit program is centered around "Ultimate Rates, Ultimate Trading," targeting different types of professional traders such as newly promoted VIPs, other VIPs, and historical VIPs. It establishes three main channels: VIP upgrades, TradFi challenges, and peak privileges, further expanding trading rights and exclusive benefits. VIP benefits include discounts on trading fees, borrowing rates, advanced APIs, unified trading account (UTA) infrastructure, and exclusive VIP services, addressing the core needs of professional traders regarding cost, efficiency, and service.This program is based on research from over 300 VIP users, with trading costs and execution efficiency identified as the most important factors for professional traders, forming the core basis for the event's design. As a key initiative for the next phase of Bitget UEX, this program further focuses on professional and high-net-worth traders, continuously improving the platform's system in terms of trading rights, capital efficiency, and exclusive services. The participation period for the event ends on October 31, and more details can be found on the Bitget official platform.

B.AI's benefits are continuously updated this week, with a 90% discount on the access channel launched, and Qwen3.8-Max is now available for free

B.AI welcomes several major updates this week. In terms of benefits, new users can log in with Bitget Wallet, Binance Wallet, or imToken Wallet to instantly receive 1 million free Credits; logging in with an invitation code grants an additional 300,000, with a maximum cumulative total of 1.3 million when combined with the exclusive wallet login gift. Referrers also enjoy permanent rebates on friend deposits and subscriptions. Recharge discounts are released simultaneously, with a 1:1 equivalent quota gift exclusive to the BNB Chain channel, while various other payment methods enjoy a 1:0.5 rebate, with a maximum of $100 worth of points available per user.On the model side, there is another breakthrough, as the "Self-selected Service Provider" lineup is significantly expanded this week, adding the Nebula channel and launching historic calling discounts as low as 10%; at the same time, Alibaba's Tongyi Qianwen flagship model Qwen3.8-Max officially lands on the platform, now open for a limited-time free experience. Currently, the self-selected mode has fully covered global mainstream large model series such as Claude, GPT, and Gemini, combined with recharge gifts and multiple discount tiers, continuously releasing extreme computing power cost-effectiveness for global developers and enterprise users.

hot_img Jensen Huang responds to Kimi's impact: the market misunderstands again, free AI benefits chip demand

NVIDIA CEO Jensen Huang stated in an exclusive interview with Axios on Tuesday that American companies "absolutely" should be allowed to use Chinese open-source AI models, directly challenging the Trump administration and some American AI labs' blockade policies.Huang believes that the market's panic over Kimi K3 is a misreading, similar to the sell-off triggered by DeepSeek in early 2025: cheaper open-source models will expand the AI audience and increase, rather than decrease, the demand for chips, data centers, and computing power. "Free AI is good for hardware, good for chips, good for data centers." He also refuted the notion that open-source models pose security risks, claiming that open-source is actually safer because external researchers can examine the models, expose vulnerabilities, and build defenses, while calling for Anthropic to open its Claude Mythos model to "everyone."Huang rejected the narrative that "China will defeat American companies," arguing that the AI race has no finish line and that China and the U.S. will coexist in the long term. Hours after the interview, U.S. Treasury Secretary Bessent stated that the government is reviewing whether Chinese AI models are stealing intellectual property and considering sanctions. Huang responded that knowledge distillation is the foundation of intelligence and that accountability should be directed at violations rather than the models themselves.
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