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Back資深主播周玉琴驚傳遭資遣,前同事劉芯彤點出年資高薪成裁員關鍵因素
資深主播周玉琴驚傳遭資遣,前同事劉芯彤點出年資高薪成裁員關鍵因素
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自由时报34 minutes agoBusiness3 min readChinaView translation

資深主播周玉琴驚傳遭資遣,前同事劉芯彤點出年資高薪成裁員關鍵因素

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資深中天電視主播周玉琴入行30年遭資遣,前同事劉芯彤透露裁員名單中多為年資深、經驗豐富且薪水較高的員工,認為AI浪潮正改變媒體業格局,呼籲職場人保持開放並持續學習以應對未來不確定性。

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Why It Matters

資深中天電視主播周玉琴入行30年遭資遣,其丈夫賴岳謙同時退出中天通告。前主播劉芯彤透露裁員名單中還包括一位過去很照顧她的前輩,共同點為年資深、經驗豐富且薪水相對高。

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周玉琴入行30年,卻驚傳遭資遣。(翻攝自周玉琴臉書)

〔記者林南谷/台北報導〕資深中天電視主播、主持人周玉琴入行30年,驚傳遭資遣,其名嘴丈夫賴岳謙也同時退出中天通告,前主播劉芯彤透露除了周玉琴,過去很照顧她的一位前輩身上,也在被裁員名單內,坦言他們有一個共同點:「年資深、經驗豐富,薪水也相對高。」

劉芯彤說,以前大家總覺得在一家公司待得夠久、經驗累積得夠多,位置應該就會愈來愈穩,「但現在看來,年資有時不只代表經驗,在公司計算成本的表格裡,也可能是另一個比較高的數字,很現實,卻是現在正在發生的事。」

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而AI浪潮對媒體業的影響,劉芯彤覺得這恐怕只是開始,而且,被改變的絕對不會只有媒體業。她也回頭問自己:「如果有一天,坐在會議室裡接到通知的人是我,我還能做什麼?」

前主播劉芯彤現任東森電視數位媒體事業部總監。(翻攝自劉芯彤臉書)

不管自己會不會走到和周玉琴一樣的路,劉芯彤坦言現在能做的,就是4個字:「保持開放。」遇到新工具,不要還沒了解,就先說不適合、不可靠,或是「我們以前都不是這樣做」,「智慧型手機剛出現時,也不是每個人都會用,可是現在,人人手上都有一支手機,沒有人會因為自己當年不熟悉,就堅持繼續使用公共電話。」

劉芯彤說,觀眾已經從電視走到手機,觀看習慣變了,新聞製作方式當然也不可能永遠停在原地,而她沒有覺得悲觀,反而有點興奮,「因為只要產業開始改變,就一定會出現新的機會。」

前主播劉芯彤(原名劉如儀),曾先後任職三立新聞台、年代新聞台與東森新聞台,歷任社會線、專題組、證券金融組文字記者,現任東森電視數位媒體事業部總監。

劉芯彤臉書全文:

前陣子才度假回來,上班第二天,就被通知裁員。這件事,發生在一位過去很照顧我的前輩身上。

另一家媒體的裁員名單裡,也出現了我以前同事的名字。

他們有一個共同點:年資深、經驗豐富,薪水也相對高。

以前我們總覺得,在一家公司待得夠久、經驗累積得夠多,位置應該就會愈來愈穩。

但現在看來,年資有時不只代表經驗,在公司計算成本的表格裡,也可能是另一個比較高的數字。

很現實,卻是現在正在發生的事。

AI浪潮對媒體業的影響,我覺得,這恐怕只是開始。而且,被改變的絕對不會只有媒體業。

我也回頭問自己:

如果有一天,坐在會議室裡接到通知的人是我,我還能做什麼?

過去談這個問題,可能有人覺得是杞人憂天;但現在,這已經不是想太多,而是每個職場人都該開始做的未雨綢繆。

我們這一代,沒有人真正經歷過AI世代。

AI最後會把世界帶到哪裡?哪些工作會消失?哪些職務會重新被定義?老實說,沒有人能給出確定答案。

但至少有一件事,是我們現在能做的:保持開放。

遇到新工具,不要還沒了解,就先說不適合、不可靠,或是「我們以前都不是這樣做」。

智慧型手機剛出現時,也不是每個人都會用。可是現在,人人手上都有一支手機,沒有人會因為自己當年不熟悉,就堅持繼續使用公共電話。

前幾天,我聽了一場關於AI與媒體的演講,主講人是美國哥倫比亞大學新聞研究所教授賈西亞博士。

他提到,AI世代的新聞工作者,面對的已經不是單一平台。

過去做電視的人專心做電視,寫新聞的人負責寫文章,剪影片的人處理影像;但現在,一則新聞可能同時要出現在電視、網站、YouTube、Facebook、IG和手機上。

同樣一個題目,到了不同平台,就必須重新思考它的長度、畫面、敘事方式,甚至觀眾為什麼願意停下來看。

這不只是融媒體,而是全媒體世代。

觀眾已經從電視走到手機,觀看習慣變了,新聞製作方式當然也不可能永遠停在原地。

聽到這些,我沒有覺得悲觀,反而有點興奮。

因為只要產業開始改變,就一定會出現新的機會。

只是那個機會到底在哪裡?老實說,那天坐在現場的媒體人,可能都還沒找到一條清楚的路。

但我覺得,找不到路並不可怕。可怕的是,因為以前走的那條路很熟,就認定以後也只能這樣走。

雖然我說的是媒體業,但這套邏輯,適用於所有行業。

會計可能不再只是整理數字,而要懂得判讀AI產出的異常;行銷不能只會寫文案,還要知道如何整合內容、數據與工具;老師不只是傳遞知識,而要教學生判斷資訊;主管也不能只靠過去的經驗做決定,而要重新設計人和工具如何合作。

AI帶來的變化,不只是「工作做得更快」,公司可能會重新思考:哪些事情一定要由人完成?一個部門到底需要多少人?什麼樣的能力,才值得被留下來?

這也是為什麼,年資深、薪水高的人,會先感受到壓力。

不是經驗沒有價值,而是未來真正有價值的經驗,不能只證明「我以前做得很好」,還要能回答:「環境變了之後,我可以怎麼做得不一樣?」

所以,我現在提醒自己的,不是拚命追每一個AI工具,也不是每天擔心自己會不會被取代。而是不要停止學習,也不要把現在的職位,誤以為是永遠的保證。

真正能保護一個人的,不是年資有多深、薪水有多高,而是當原本擅長的做法失效時,願不願意放下身段,重新學一次。

我們不知道AI會把世界帶到哪裡。但至少,當新的世界慢慢出現時,不要讓自己站在原地,一直解釋舊世界為什麼比較好。

What to Watch

AI outlook — possibilities, not facts

  • 媒體業將進一步整合AI工具,新聞製作流程將更加多元化和平台化

    Likely · Within months

  • 年資深、薪水高的員工將繼續成為成本優化的目標,但具備學習適應力的人將獲得更多機會

    Possible · Within months

Open Questions

  • 周玉琴遭資遣的具體原因是什麼?
  • 中天電視此次裁員涉及多少人?
  • AI工具在媒體業中的具體應用場景有哪些?

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