472000名摩根大通客户无法通过任何可能的方式支付400美元的“费用冲击”,包括信用卡:报告

币界网2024-08-23 tarihinde yayınlandı2024-08-23 tarihinde güncellendi

币界网报道:

摩根大通的一份新报告揭示了有多少美国人能够负担得起紧急情况的费用。

一项对590万拥有大通银行账户的家庭的分析显示,8%的家庭完全无法承受400美元的“支出冲击”,即使是用信用卡也不行。

这意味着样本中有472000名客户,而摩根大通的家庭总数超过6600万。

该报告显示,汽车故障或医疗问题等相对较小和意外的费用对许多家庭来说是多么困难,突显了即使在使用主要银行机构的人中也存在的财务脆弱性。

摩根大通表示,总体而言,67%的家庭可以用现金储蓄来应对400美元的紧急情况,另外20%的家庭可以通过现金和可支配收入的组合来应对。

资料来源:摩根大通研究所

这家银行巨头还分析了一个更大的紧急情况,即需要支付1600美元的突然费用。

“许多家庭仍然无法支付这样的费用,包括63%的最低收入家庭,甚至3%的最高收入家庭…

对于最低收入家庭来说,只有25%的家庭可以用现金或可支配收入来支付1600美元的支出冲击;短期使用信贷可以额外支付12%的费用。”

摩根大通的样本数据涵盖2021年至2023年。该行表示,尽管通货膨胀和利率很高,但自2022年初以来,这一比例一直保持一致。

“这甚至适用于1600美元的较大支出冲击:尽管能够支付这些较大支出的家庭较少,但在我们的样本窗口期间,支付能力是一致的。

然而,随着通货膨胀、利率和劳动力市场力量的不断发展,这种情况可能会发生变化。”

该银行的590万个家庭样本是根据每月至少有5笔非转账交易、年实得收入至少为12000美元的活跃支票账户选择的。

不要错过任何节拍-订阅以直接将电子邮件提醒发送到您的收件箱

检查价格操作

在X、Facebook和Telegram上关注我们

冲浪每日Hodl混合

生成的图像:Midjourney

İlgili Okumalar

MY Group Completes Web4.0 First Stock Listing Layout, SEC Officially Discloses Form 8-K Announcement

MY Group has completed the listing layout for the "Web4.0 First Share," with the U.S. Securities and Exchange Commission (SEC) formally disclosing a Form 8-K report. According to the filing, the company's board has officially appointed Mr. Zhang Dingwen as Chief Executive Officer (CEO) and Executive Director, marking a significant upgrade in management and the entry into a new phase of its global capital market strategy. The disclosure of Form 8-K, used for reporting major corporate events, coincides with market information indicating the company is advancing several key capital market initiatives. These include a global brand system upgrade, corporate strategic restructuring, and a change of its stock ticker symbol. These moves are viewed by industry experts as signals of accelerated internationalization and enhanced global market presence. Concurrently, MY Group's proposed "Web4.0 Ecosystem" is garnering market attention. The company is integrating core capabilities across social traffic portals, global payment systems, public blockchain infrastructure, digital asset trading, and AI-powered financial systems. Analysts suggest that by closing this ecosystem loop, MY Group has the potential to become a next-generation platform merging Web2 user scale with Web3 asset frameworks and AI financial capabilities. With the management upgrade finalized, the global brand strategy launched, and the stock ticker change pending, MY Group is positioning itself as a focal point in the global technology capital market as a potential leading Web4.0 platform enterprise.

marsbit1 saat önce

MY Group Completes Web4.0 First Stock Listing Layout, SEC Officially Discloses Form 8-K Announcement

marsbit1 saat önce

3 People with 100 AI Programmers, Burning Through $1.3 Million a Month! OpenAI: I'll Foot the Bill

In a striking demonstration of AI-powered development, Peter Steinberger (creator of OpenClaw) shared that his three-person team spent $1.3 million in one month to run approximately 100 AI agents (primarily Codex instances). OpenAI covered the cost. The expenditure consumed 6.03 trillion tokens across 7.6 million requests. Steinberger argues that, with "fast mode" disabled, the cost falls below that of a single engineer while providing significantly greater output. This "cloud programmer army" handles core but tedious software engineering tasks: reviewing pull requests, finding security vulnerabilities, deduplicating issues, fixing bugs, monitoring benchmarks, and even generating PRs after meetings. This shifts AI's role from merely writing code to maintaining the entire collaborative fabric of a project. Steinberger's tool, CodexBar (a macOS menu bar app), tracks usage and costs across various AI coding services, highlighting how token consumption is becoming a key metric—a new "means of production." The experiment poses a profound question: if token cost ceases to be a barrier, how will software development transform? As model prices fall, the capability for small teams to leverage large numbers of AI agents could become commonplace, fundamentally altering the scale and speed of development. The future, Steinberger suggests, is arriving rapidly.

marsbit3 saat önce

3 People with 100 AI Programmers, Burning Through $1.3 Million a Month! OpenAI: I'll Foot the Bill

marsbit3 saat önce

In the AI Era, How to Onboard Without Starting from Scratch

In the AI era, onboarding new employees often resembles a botched relay race baton handoff, where the organization maintains speed while the newcomer starts from zero. The author, after joining Ramp, argues the core problem is a lack of accessible, shared organizational "context"—the collective knowledge from meetings, documents, Slack discussions, and decisions. Instead of relying on slow, manual onboarding or isolated AI tools, the solution is building a continuously updated "company brain." This system acts as a central, AI-native knowledge base that absorbs all company signals. The author describes building a prototype using an Obsidian vault powered by Claude, fed by automated meeting transcripts and notes, and topped with reusable agent "skills." The current enterprise AI approach, deploying specific workflow agents, is likened to the "chatbot era"—useful but disconnected. The real gap is the absence of a shared brain that all agents and employees can access from day one. The future lies in making context layer infrastructure the priority: write context first, then install tools; record every meeting; build the wiki before the dashboard. When new hires, AI agents, and even customers can immediately access this living company brain, the costly "ramp-up" period becomes obsolete. True organizational speed is achieved when maximum velocity and seamless context transfer happen simultaneously.

marsbit3 saat önce

In the AI Era, How to Onboard Without Starting from Scratch

marsbit3 saat önce

İşlemler

Spot
Futures
活动图片