哈佛商學院與歐洲工商管理學院研究發現，2020至2024年間AI原生初創企業團隊規模縮減約四分之一，層級更扁平，初級員工招聘銳減。AI浪潮中最先被“優化”的正是職場新人。但工程師佔比反而上升13%，顯示企業正用AI取代入門崗位，同時擴充核心技術團隊。
人工智能浪潮下，新一代DDR5內存嚴重斷貨。Meta聯合臺積電、美光等開發出過渡方案，讓僅支持DDR5的AI服務器能穩定運行DDR4內存。這套“縫合怪”系統實測穩定性出衆，有效避免數據中心建設受阻。
據《日經亞洲》報道，AI浪潮正讓美國名校光環褪色。許多花費數十萬美元入讀頂尖學府的畢業生，面對前所未有的就業困境。亞利桑那大學畢業典禮上，谷歌前CEO施密特因稱“AI變革更迅猛深遠”而遭學生噓聲，凸顯年輕求職者對崗位被AI替代的焦慮，計算機科學等技術專業尤受衝擊。
在生成式人工智能浪潮推動下，算力成爲科技巨頭角逐的關鍵資源。谷歌的Gemini AI平臺因需求激增，自2025年春季以來API調用請求量翻倍，導致核心算力捉襟見肘，被迫收緊資源分配。爲平衡開發者和企業的激增負載，並保障生態系統公平，谷歌於2026年5月17日正式實施基於算力額度的使用限制，採用類似流量套餐的分級模式。這一舉措不僅緩解了供應壓力，也折射出整個AI領域對算力需求的失控性增長。
Anthropic
$105
輸入tokens/百萬
$525
輸出tokens/百萬
200
上下文長度
Google
$0.7
$2.8
1k
$7
$35
$2.1
$17.5
$21
Alibaba
$6
$24
256
Baidu
-
128
Bytedance
$1.2
$3.6
4
$2
$3.9
$15.2
64
$0.8
$0.15
$1.5
32
Deepseek
$4
$12
Tencent
$1
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