AI泡沫拖垮美股！巨頭營收成長卻難止虧損 借錢買GPU、蓋資料中心撐起算力狂潮！金流斷誰先倒？華為搶中國市場、長鑫挑戰記憶體三巨頭【#寰宇全視界】20261018-P3 謝忠岳 林郁方 吳嘉隆 莊伯仲
Published October 18, 2026
At a glance
Views
43,558
Likes
254
Comments
8
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
美中AI晶片戰持續升溫！美國出口限制下，輝達在中國市占下滑，華為昇騰與本土晶片廠加速追趕。長鑫存儲布局4F²記憶體，EUV光源技術也持續突破，但量產與效能仍待驗證。另一方面，美國AI企業虧損與融資壓力升高，若算力需求降溫，恐引發雲端資料中心與晶片供應鏈的連鎖衝擊。 主持人 謝忠岳 前立法委員 林郁方 資深政經評論家 吳嘉隆 文化大學新聞系教授 莊伯仲 #美中AI晶片戰 #華為昇騰晶片 #長鑫存儲 #EUV光源 #中國半導體 # AI泡沫 # DRAM記憶體市場 #CoreWeave #AI晶片供應鏈危機 #4F²記憶體 #謝忠岳 #林郁方 #吳嘉隆 #莊伯仲 美國晶片封鎖成反效果!華為搶市占.輝達中國市場失血 輝達中國出貨…
- Published
- October 18, 2026
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How AI泡沫拖垮美股！巨頭營收成長卻難止虧損 借錢買GPU、蓋資料中心撐起算力狂潮！金流斷誰先倒？華為搶中國市場、長鑫挑戰記憶體三巨頭【#寰宇全視界】20261018-P3 謝忠岳 林郁方 吳嘉隆 莊伯仲 is doing
It has 43.5K views in total. It ranks #13,596,697 among tracked YouTube videos by views.
Key facts about AI泡沫拖垮美股！巨頭營收成長卻難止虧損 借錢買GPU、蓋資料中心撐起算力狂潮！金流斷誰先倒？華為搶中國市場、長鑫挑戰記憶體三巨頭【#寰宇全視界】20261018-P3 謝忠岳 林郁方 吳嘉隆 莊伯仲
- Total views
- 43.5K
- Total likes
- 254
- Total comments
- 8
- Published
- October 18, 2026
- Global rank by views
- #13,596,697
Frequently asked questions
How many views does AI泡沫拖垮美股！巨頭營收成長卻難止虧損 借錢買GPU、蓋資料中心撐起算力狂潮！金流斷誰先倒？華為搶中國市場、長鑫挑戰記憶體三巨頭【#寰宇全視界】20261018-P3 謝忠岳 林郁方 吳嘉隆 莊伯仲 have?
AI泡沫拖垮美股！巨頭營收成長卻難止虧損 借錢買GPU、蓋資料中心撐起算力狂潮！金流斷誰先倒？華為搶中國市場、長鑫挑戰記憶體三巨頭【#寰宇全視界】20261018-P3 謝忠岳 林郁方 吳嘉隆 莊伯仲 has 43,558 views, 254 likes and 8 comments, ranking #13,596,697 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
Yes. You get 10 free channel and video analytics lookups per 24 hours without an account — logging in, which is also free, removes that limit entirely.