提到人工智慧(AI),很多人會問:「這會不會只是另一個科技泡沫?」然而,如果我們只從景氣循環的角度來看 AI,可能會忽略它真正改變世界的本質,也就是對勞動市場「人力資本」的重新定義。
Is A.I. Actually a Bubble? / Linkedin
一、 什麼是人力資本?為何 AI 讓它加速?
上進的勞工會花費大量的時間、金錢和精力來提升自身能力;他們進修技能、拓展人脈,續讀MBA、閱讀更多的書籍,傾向於利用空閒時間去提升技能和知識;這些提升人力資本的工作往往在不為人知的情況下進行,因為傳統的真理很簡單:「人們投資於自身,投資數額越大、回報的機率與質量更龐大」。經濟學家西奧多·舒爾茨(Theodore Schultz)曾指出,勞工習得的技能就像「固定資本」(如房地產或設備);人們投入大量時間與金錢自我提升,這種「隱形投資」正是過去幾十年來經濟成長的核心動力。舒爾茨認為,這些提升「人力勞動品質」的投資,或許可以解釋經濟學家在過去幾十年來觀察到的「人均實際收入顯著增長」的大部分原因。
在過去,累積專業能力需要漫長的歲月,但 AI 的出現,打破了這個時間框架:
- 加速學習曲線:年輕人能快速學會寫程式,資深者能轉型為指導者。
- 突破技能邊界:透過大型語言模型,數百萬人開始處理以前無法勝任的任務。
- 投資效率提升:以往需要幾年才能掌握的知識,現在可能只需要幾個月、甚至幾週。
二、 企業的矛盾:想要員工進步,又怕他們太強?
對於企業來說,高素質的人才固然好,但現實中卻存在一個弔詭的困境:
- 結構像牢籠:當員工能力快速成長,組織架構往往跟不上,導致人才被困在舊有的職位中。
- 人才外流:員工帶走的是自己的技能。對公司而言,最「理想」的員工,似乎是入職前拼命學習、入職後卻甘願成為一顆穩定齒輪的人。
- 速度挑戰:AI 讓員工進化得太快,快到超越了企業現有的管理系統,這讓管理者感到既期待又怕受傷害。
三、 裁員還是賦能?企業的兩難抉擇
目前,微軟或 OpenAI 等科技巨頭,都在推廣 AI 如何「節省成本」。企業在評估 AI 投資(每年數百萬美元的訂閱費)時,最直覺的邏輯通常有二:
- 推出新產品:開發新產品導入市場以增加營收。
- 自動化與裁員:例如用 AI 語音客服取代人工,一年可省下數億美元。
這讓大家覺得 AI 的終極目標就是「取代人類」,但歷史告訴我們,這並不是片面看到的全貌。
四、重演 IT 革命的價值論辯
回顧二十世紀 80、90 年代 IT 部門剛興起時,企業也曾質疑:花大錢買電腦和網路真的值得嗎?當時也很難精確計算投資報酬率。
現在的 AI 處境非常相似,這態勢頗似重演 IT 革命的價值論辯;AI 不只是取代工具,它更是一場關於「人力資本如何被整合」的實驗;真正能勝出的企業,不在於裁了多少人,而是在於如何有效利用這群因 AI 而變強的「進化版員工」,並為他們打造出全新的發揮空間。
Is A.I. Actually a Bubble? The narrative of boom and bust is familiar—but also out of step with the possibilities of a new technology.




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