【中英文新聞】川習會前美日先談中國議題｜台灣外銷訂單首破千億美元｜台灣AI使用率全球第19名｜主管問錯問題團隊只會更怕犯錯｜兩千萬人潮仍救不了？台灣老街危機｜20260924
目錄
2026 年 9 月 24 日｜HOT 基礎英文新聞｜S1 EP322
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※本集節目引用之新聞與圖片來源：中央通訊社、經濟日報、科技新報、經理人、網路溫度計、中央廣播電台
第一則：高市早苗與川普會談 35 分鐘 日方未透露是否談到台灣議題
日本首相高市早苗於 9 月 23 日在紐約與美國總統川普會談約 35 分鐘，由於美中峰會於 9 月 24 日舉行，雙方針對中國相關議題交換意見，並同意加強美日同盟，以及 AI、半導體和重要礦產等經濟安全合作。
日本官員並未透露雙方是否具體討論台灣議題，不過，日本擔心美中可能繞過日本，在尖端科技及稀土等領域達成協議，也關注美國是否會為了經濟利益，在台灣議題上對中國讓步。
Sanae Takaichi Meets Trump for 35 Minutes, Japan Does Not Reveal Whether Taiwan Issue Was Discussed
Japanese Prime Minister Sanae Takaichi met with U.S. President Donald Trump in New York for about 35 minutes on September 23. With the U.S.-China summit taking place on September 24, the two leaders exchanged views on China-related issues and agreed to strengthen the U.S.-Japan alliance and economic security cooperation in areas such as AI, semiconductors, and critical minerals.
Japanese officials did not reveal whether the two leaders specifically discussed Taiwan. However, Japan is concerned that the U.S. and China may bypass Japan and reach agreements on advanced technology and rare earths, and is also watching whether the U.S. may make concessions to China on Taiwan in exchange for economic benefits.
第二則：AI 需求強勁 台灣外銷訂單首破千億美元
經濟部公布，台灣 8 月外銷訂單達 1,029.6 億美元，創歷年單月新高，年增 71.4%，也是連續第 19 個月成長，主要受惠於 AI 與雲端需求強勁，帶動伺服器、半導體及 IC 設計等訂單增加。
原本預估 9 月訂單才會突破千億美元，但 AI 伺服器與晶片需求超出預期，讓紀錄提前一個月達成。經濟部更預估，今年全年外銷訂單有望挑戰 1.1 兆美元，再創歷史新高。
Strong AI Demand Pushes Taiwan’s Export Orders Above US$100 Billion for the First Time
Taiwan’s Ministry of Economic Affairs said export orders reached US$102.96 billion in August, the highest monthly level on record. Orders rose 71.4% from a year earlier, marking the 19th straight month of growth, mainly driven by strong demand for AI and cloud services, which boosted orders for servers, semiconductors, and IC design.
The ministry had originally expected orders to pass US$100 billion in September, but demand for AI servers and chips was stronger than expected, pushing the milestone one month earlier. The ministry expects Taiwan’s full-year export orders to reach as much as US$1.1 trillion, setting another record high.
第三則：台灣 AI 使用率升至 33.8% 躍居全球第 19 名
微軟最新報告指出，今年第 2 季，台灣工作人口生成式 AI 使用率達 33.8%，比第 1 季增加 2 個百分點，全球排名也升至第 19 名，台灣的使用率不僅高於全球平均的 18.8%，也超過美國、德國及義大利。
不過，全球 AI 發展仍存在明顯落差，全球北方國家的平均使用率達 28.8%，南方國家則為 16.2%。報告指出，部分國家受到電力、網路建設及數位技能不足等限制，難以跟上 AI 發展，也讓全球 AI 帶來的經濟效益差距進一步擴大。
Taiwan’s AI Usage Rate Rises to 33.8%, Ranking 19th in the World
Microsoft’s latest report shows that Taiwan’s generative AI usage rate among the working-age population reached 33.8% in the second quarter of this year, up 2 percentage points from the first quarter, while its global ranking rose to 19th. Taiwan’s usage rate was not only higher than the global average of 18.8%, but also higher than those of the United States, Germany, and Italy.
However, there is still a clear gap in global AI development. The average AI usage rate in Global North countries reached 28.8%, compared with 16.2% in Global South countries. The report says that limited access to electricity, internet infrastructure, and digital skills make it harder for some countries to keep up with AI development, further widening the gap in the economic benefits brought by AI.
第四則：主管一開口就追究責任 團隊只會更快進入防衛
主管的提問方式，往往影響團隊是否願意說出真實問題。如果問題總帶有責任追究的意味，部屬會容易進入防衛狀態，降低主動揭露風險與問題的意願。
比起急著找人究責，不如先問發生了什麼、原因在哪、需要哪些協助。當員工知道主管是想把問題解開，而不是找戰犯，才更願意說出不同意見，也更容易一起找到解法。
When Managers Start by Blaming, Teams Become Defensive Faster
The way managers ask questions can affect whether team members are willing to speak openly about real problems. If questions often sound like they are looking for someone to blame, employees may become defensive and less willing to raise risks or problems.
Instead of rushing to find someone to blame, managers can first ask what happened, what caused the problem, and what support is needed. When employees know their manager wants to solve the problem rather than find someone to blame, they are more willing to share different views and work together to find a solution.
第五則：2,000 萬人潮仍救不了老街？繁華背後藏複製危機
台灣多條老街每年吸引大量遊客，鹿港今年更以超過 2,000 萬人次成為人氣冠軍。然而，當店家為迎合需求而販售商品時，老街可能逐漸失去原有特色，龐大人潮也會擠壓居民的生活空間。
新化透過修復老屋與發展地方產業重建街區活力，旗山則結合香蕉文化、歷史記憶與青年返鄉守住在地特色。這些案例反映，老街除了吸引遊客，也需要讓居民與地方產業持續留下，才能避免淪為相似的觀光街。
Even 20 Million Visitors Can’t Save Taiwan’s Old Streets? A Copy-and-Paste Crisis Hides Behind the Crowds
Many of Taiwan’s old streets attract large numbers of tourists every year, and Lukang became the most popular this year with more than 20 million visitors. However, when shops sell products mainly to meet tourist demand, old streets may gradually lose their original character, and large crowds may also put pressure on residents’ living spaces.
Xinhua is bringing new life to its old district by restoring historic buildings and developing local industries. Qishan is protecting its local identity through banana culture, historical memories, and the return of young people. These examples show that old streets must keep local residents and industries in place while attracting tourists, or they may become similar tourist areas.
Let’s wrap up today’s episode. We’ve learned about some important events happening around the world.
Sanae Takaichi and Trump discussed China-related issues and stronger U.S.-Japan cooperation, while Japan remains concerned about possible U.S.-China deals and concessions on Taiwan.
Strong AI demand pushed Taiwan’s August export orders above US$100 billion for the first time, with full-year orders expected to reach as much as US$1.1 trillion.
Taiwan’s generative AI usage rate rose to 33.8%, ranking 19th globally, while the AI gap between Global North and Global South countries continues to widen.
A manager’s questions can either make employees defensive or encourage them to speak openly and help solve the real problem.
Taiwan’s old streets attract large crowds but face growing concerns over similar shops and pressure on local life.
In the next episode, we will together explore the recent hot news with you in the morning. Don’t forget to come back. Have a nice day and hear me next time. Bye.
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