The Rise of AI-Powered Financial Fraud in the United States
美國 AI 驅動金融詐騙崛起
Introduction
Recent data shows a significant increase in financial losses for American citizens because criminals are now using artificial intelligence in their scams.
最近的數據顯示，由於犯罪分子現在在詐騙中使用了人工智慧，美國公民的財務損失顯著增加。
Main Body
The FBI reported that AI-driven scams caused losses of approximately $900 million in 2025, with over 22,000 reports filed. This shows a shift from basic digital fraud to a more advanced method where generative AI creates realistic fake media. For example, criminals use deepfake audio and video to impersonate family members, famous people, and government officials, which makes their fake requests seem more believable.
FBI 報告指出，2025 年 AI 驅動的詐騙造成了約 9 億美元的損失，共有超過 22,000 份報告被提交。這顯示了詐騙手法已從基本的數位詐騙轉向更進階的方法，即利用生成式 AI 創造逼真的虛假媒體。例如，犯罪分子使用深偽 (deepfake) 音訊和影片來冒充家人、名人以及政府官員，使他們的虛假請求看起來更具可信度。
Analysis shows that these scams are targeting a wider range of people. While older people were previously the main targets, the FBI noted a 74 percent increase in complaints from people under 20 between 2024 and 2025. This suggests that being comfortable with technology does not protect someone from being tricked. Furthermore, AI allows criminals to send tens of thousands of automated messages per minute, making the attacks much larger in scale.
分析顯示，這些詐騙針對的對象範圍更廣。雖然以往主要對象是年長者，但 FBI 注意到 2024 年至 2025 年間，20 歲以下人士的投訴增加了 74%。這顯示對科技的熟悉程度並不能保護一個人免於被騙。此外，AI 讓犯罪分子每分鐘能發送數萬條自動化訊息，使攻擊規模大幅擴大。
In response, organizations are focusing on public education and corporate responsibility. A petition signed by 75,000 people was sent to the Federal Trade Commission, demanding that developers of voice-cloning technology be held responsible. Meanwhile, the FBI and banks have advised people to use strict identity verification and limit the personal information they share online to reduce the risk of being impersonated.
對此，相關機構正將重點放在公眾教育與企業責任上。一份由 75,000 人簽名的請願書被提交至聯邦貿易委員會，要求聲音複製技術的開發者承擔責任。同時，FBI 和銀行建議民眾使用嚴格的身份驗證，並限制在網上分享的個人資訊，以降低被冒充的風險。
Conclusion
The current situation is defined by a growing number of advanced AI scams targeting all age groups, which means people must be more careful and report these crimes immediately.
目前的狀況是針對所有年齡層的高階 AI 詐騙日益增加，這意味著人們必須更加小心，並立即舉報此類犯罪。
Vocabulary Learning
🚀 The 'Cause & Effect' Jump
To move from A2 to B2, you need to stop using only simple words like because and so. You need to show how one thing leads to another using sophisticated transitions.
The Pattern: "A leads to B"
Look at this sentence from the text:
"AI allows criminals to send tens of thousands of automated messages per minute, making the attacks much larger in scale."
Instead of saying: "AI allows criminals to send many messages, so the attacks are larger," the author uses a comma + -ing structure. This is a classic B2 move. It connects the action to the result instantly.
🛠️ Level-Up Your Vocabulary
In A2, we use basic adjectives. In B2, we use precise modifiers to describe trends. Let's steal these from the article:
- Significant increase (Don't just say "big increase").
- Wider range (Don't just say "more people").
- Strict verification (Don't just say "good checking").
🧠 Logic Shift: The 'Contrast' Bridge
Notice this phrase:
*"While older people were previously the main targets..."
Using "While" at the start of a sentence is a powerful way to compare two different facts. It tells the reader: "I am about to give you two pieces of information that surprise each other."
Try thinking like this:
- A2: Older people were targets. Now young people are targets too.
- B2: While older people were once the primary targets, young people are now increasingly at risk.