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Near the end of college, “should I go to grad school?” becomes nearly unavoidable. And interestingly, it’s usually not a question you’ve thought through carefully — it’s one you start thinking about because someone asked.

This Adult’s Small Talk episode covers exactly this: what framework is actually useful for deciding whether to pursue grad school immediately after college?

TL;DR

There’s no universal answer to “should I go straight to grad school.” The more useful question is: do you have a specific problem that grad school would help you solve? If yes, go. If not, go accumulate that problem first — then revisit the question.

Start Here: Why Do You Want to Go?

Before deciding whether to go, be honest about why you want to:

Good reasons (grad school as a targeted solution):

  • You want to enter a field that genuinely requires a graduate degree to enter (certain academic research roles, some medical-adjacent fields)
  • You’ve encountered a specific knowledge gap in your work that graduate training would directly address
  • You have a clear research direction and want to develop it in a focused academic environment

Reasons worth examining more carefully:

  • “Because I don’t know what else to do”
  • “Because everyone else is going”
  • “Because a graduate degree helps with job applications” (true in some fields — but which ones, specifically?)

The second category isn’t automatically disqualifying, but if this is your primary motivation, grad school might just delay your uncertainty by two years while adding debt.

Working First vs. Going Directly: Trade-offs

Work first, then attend:

With work experience, you know why you’re going, and coursework connects more naturally to real situations. Many practical confusions you encountered on the job suddenly gain context in the classroom — and conversely, academic theory is easier to absorb and retain when you have a working vocabulary.

The downside: you need to re-adjust to student mode, and if you’ve gotten used to a salary, returning to a lower income takes psychological recalibration.

Go directly after undergrad:

Lower time cost — you stay in the student track without giving up income you’ve started earning. For people certain about the academic path, or for whom the degree is genuinely a barrier to entry, this is entirely reasonable.

The downside: many people go directly out of inertia rather than clarity. A degree earned without a clear purpose often leaves graduates unable to articulate “what did grad school give you?” when they’re interviewing.

Practical Questions Worth Answering

Do the roles you’re actually targeting require a master’s degree? In many engineering and product roles, a graduate degree is a plus, not a requirement. Research the real prerequisites for your target positions before deciding.

Will the grad program connect you to the network you want to be in? The value of grad school isn’t only the credential — it’s faculty connections, industry ties, and alumni networks. These factors matter as much as rankings when choosing a program.

Can you clearly describe what you’ll do after you graduate? This is a useful self-test. If you can’t answer it clearly, that doesn’t mean you shouldn’t go — but it means there’s still thinking to do before committing.

Takeaway

Grad school isn’t inherently right or wrong, and there’s no standard timing. But framing the decision as “am I going to solve a specific problem?” tends to lead to choices you won’t regret later.

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🇺🇸 English

So near the end of college, this question shows up almost like a rite of passage: "Should I go to grad school?" And here's the funny thing — most people don't actually arrive at that question through careful thinking. They start thinking about it because someone else asked them. A relative at dinner, a friend filling out applications, a professor. Suddenly it's on your plate.

This episode of Adult's Small Talk digs into exactly that: is there a framework that's actually useful for deciding whether to go straight to grad school right after undergrad?

Let me give you the punchline up front, because it cuts through a lot of noise. There is no universal answer to "should I go straight to grad school." Anyone who tells you there is, is selling you something. The far more useful question is this: do you have a specific problem that grad school would actually help you solve? If yes — go. If not — go out and accumulate that problem first, then come back and ask again.

So let's start where you should actually start, which is not "should I go" but "why do I want to go." And you have to be honest with yourself here.

There are good reasons — and by good, I mean grad school as a targeted solution to something. Like, you want to enter a field that genuinely requires a graduate degree just to get in the door — think certain academic research roles, some medical-adjacent fields. Or you've hit a specific knowledge gap in your work, something concrete that graduate training would directly address. Or you've got a clear research direction and you want a focused academic environment to develop it. In all of these, the degree is a tool pointed at a target.

Then there's the other category — the reasons worth examining a little more skeptically. "Because I don't know what else to do." "Because everyone around me is going." "Because a graduate degree helps with job applications." Now, that last one is genuinely true in some fields — but notice you have to ask, which fields, specifically? For which roles?

Here's the thing: being in that second category doesn't automatically disqualify you. But if that's your primary motivation — if it's really just "I don't know what's next" — then grad school might simply postpone your uncertainty by two years, and hand you some debt on the way out. You haven't solved the problem. You've deferred it.

Now let's talk about the real fork in the road: working first versus going directly.

If you work first and then go back — the big advantage is that you know why you're there. The coursework connects to real situations. All those practical confusions you ran into on the job? They suddenly click into place in the classroom. And it runs both ways — abstract academic theory is so much easier to absorb and hold onto when you've already got the working vocabulary to hang it on. The downside, honestly, is psychological. You have to re-adjust to being a student again, and if you've gotten comfortable with a paycheck, going back to a low or no income takes some real recalibration.

Going straight through after undergrad — the appeal is lower time cost. You stay on the student track, you don't give up income you've already started earning because you never started earning it. And for people who are genuinely certain about the academic path, or for whom that degree is truly a barrier to entry — this is completely reasonable. No hesitation. The catch, though, is that a lot of people go directly out of inertia, not clarity. And a degree earned without a clear purpose has a way of showing up later. Picture yourself in an interview, and someone asks, "So what did grad school give you?" — and you can't quite articulate it. That's the risk.

Alright, let me leave you with a few practical questions actually worth sitting down and answering.

First: do the roles you're actually targeting require a master's? In a lot of engineering and product jobs, a graduate degree is a plus — not a requirement. So go research the real prerequisites for the positions you want before you commit years to it.

Second: will this specific program connect you to the network you want to be in? Because the value of grad school was never only the credential. It's the faculty connections, the industry ties, the alumni network. Honestly, those factors matter as much as rankings when you're choosing where to go.

And third — this is the self-test I like most — can you clearly describe what you'll do after you graduate? If you can't answer that cleanly, it doesn't mean you shouldn't go. But it does mean there's still some thinking left to do before you sign up.

So let me pull the threads together. First takeaway: grad school isn't inherently right or wrong, and there's no correct timing — stop looking for the standard answer, because there isn't one. Second: the question that actually cuts through everything is "am I going to solve a specific problem, or am I going because I haven't figured out what's next?" And third: if the answer is that you haven't figured it out — that's fine, but the move is to go accumulate that problem in the real world first, then revisit this. A degree pointed at a real target tends to lead to a choice you won't regret. A degree used to hide from uncertainty usually just delays the reckoning.

🇹🇼 中文

一位外語系的同學,在職涯講座的問答時間舉手問了一個問題:「老師,我家境不好,是不是畢業之後應該先出來工作,不要急著念研究所?」

大人學 Podcast「大人的 Small Talk」的主持人 Joe,張國洋,給了一個全場都沒料到的答案。他說:「你家境不好,應該先出來工作;事實上,你家境好,也應該先出來工作。」

底下安靜了一下。因為大家原本以為他要講的是「家境不好先工作、家境好就繼續念」,結果完全相反。這一集,他就把這個答案完整地攤開來講。

Joe 說,這其實是他十六年前,也就是 2010 年,在大人學部落格寫的那篇〈人多的地方不要去〉的延伸。當年他就建議畢業生先去工作個一到兩年,還預言接下來十到十五年,除了少數特殊職位以外,賺錢跟學歷高低的正相關會越來越低。十六年後回頭看,這個預言大致上應驗了——中段班碩士的薪資溢價,基本上已經消失,而 AI 只會讓這個趨勢加速。

先把核心結論講清楚:讀研究所不是越早讀越好,而是「知道自己要什麼」才去讀,回報才最大。而要知道自己要什麼,幾乎只有一個辦法,就是出來工作試試看。所以不管家境好壞,先工作一兩年,你才會知道自己缺什麼、該補什麼。

為什麼要先工作?因為大三、大四的學生,對未來工作的具體樣貌,通常沒有真實感,畢竟還沒真的進去做過。學校教的、教授講的、偶像劇演的,往往是那個產業「最高階、最有趣、最被美化」的一面。這一面不是假的,但它可能是你進到那個領域十年之後,才會碰到的東西。

Joe 舉外語系想做翻譯當例子。腦中的想像可能是操盤品牌、優雅地跟客戶提案;但真的進去做行銷,前面五到十年多半是基層,七成的時間在處理 Excel 報表、追廣告投放的數據、跟業務吵預算、把文案從第一版改到第八版。他自己念土木工程,畢業後實際做的事,跟想像也是天差地遠,花最多時間相處的,同樣是 Excel 報表。

問題就在這裡:剛畢業的基礎工作肯定無趣,而很多人撐不到熬出頭的那十年。你能不能撐下去,只有真的進去做了才知道,而這件事會直接決定你「該不該讀、該讀什麼」。

那位外語系同學,如果一畢業就去念翻譯碩士,可能兩年後才發現,自己其實沒那麼喜歡翻譯,或者翻譯市場在 AI 衝擊下萎縮了,又或者他真正喜歡的,是「跨文化的內容企劃」,而不是翻譯本身——喜歡日本文化,不等於想把日語當成每天的工作。等唸完才發現押錯寶,學費跟機會成本就全白費了。反過來,如果先工作兩年,他可能會發現自己缺的是行銷、是商學,甚至是法律跟財經背景,那該去念的,根本是另一個領域。

那理科跟文科,有沒有差別?有,但「先想清楚這個學歷對你的必要性」這件事沒有變。

理科,像資工、電機、生科、化學,科系跟業界職位有比較直接的對應。同樣在台積電、聯發科這種公司,電機碩士跟電機學士的起薪差距是看得到的。所以如果你已經很確定要走這條路,直接把研究所念完,風險是可控的,但盡量去名校。

文科,像傳播、社會、歷史、哲學,Joe 就真心建議先出來工作,原因有兩個。第一,沒有直接對應的職位。有電機工程師、化工工程師,但沒有「社會學工程師」。HR 看到文科碩士不會眼睛一亮,你必須自己把所學「翻譯」成業界聽得懂的價值,而這種翻譯能力,是離開學校後最重要的能力,它需要工作經驗才養得出來。第二,你深耕的議題,未必能變現。文科碩士的訓練是把你帶進某個特定議題的深處,學術上這是好事,但如果你不繼續待在學術界,這份深度在就業市場未必加分。你寫「明清江南商業網路」的歷史碩論,去貿易公司面試,主管很可能不知道該把你放在哪。學養增加了,未必能直接換成錢。

接下來,2026 年多了 AI 這個變數,讓「要不要念」的計算大不相同,這裡有兩個新變化。

第一個變化,AI 顛覆了學習的順序。過去學一項技能是「先上課、讀書、考試,再實習、上場」,因為不先學完根本沒辦法上場。但現在有些領域,直接動手學最快,邊做邊問 AI 把不足補起來。以前想開發一個小工具,得老老實實上完六個月的程式課;現在打開 Cursor 或 Claude Code,告訴 AI 你想做什麼,一兩天就能做出堪用的小版本,而且每一段程式都對應到你真正想解決的問題,學習動機更強。重點是,很多領域的僱主只在意你能不能解決問題,你是在學校學的、跟老師學的、還是跟 AI 學的,都沒差。這對決策的影響很大:過去唯一的路是先念才能學會,現在如果能先學會就找到工作,未必要再花兩年去押注「將來可能用得上」。

第二個變化,AI 削弱了學歷這個訊號,放大了實戰成果。過去 HR 時間有限,用學歷做第一層篩選,而能念到高學歷的人有限,所以學歷有價值。現在 HR 可以用 AI 一秒讀完上百份履歷,串接你的 GitHub、LinkedIn、作品集,把你的實際成果量化評分。當時間不再是瓶頸,學歷的篩選價值就下降了。再加上過去二十年學歷持續貶值——台大碩士在 2026 年仍然有意義,但三流學校的碩士,起薪跟學士已經沒什麼差,甚至未必找得到工作。真正被看重的,是你做過什麼、做出過什麼、有沒有可以被驗證的成果:GitHub 上的 commit、你營運過的社群、執行過的活動、開發過的產品,甚至你發表過的 Podcast、寫過的文章,這些 AI 在面試前就能抓出來驗證。

那研究所到底還值不值得念?Joe 強調,他不是反學歷。研究所有它值錢的地方:訓練研究方法、提升系統化思考、讓你問對問題、學會判斷,這些都有價值。他反對的,是那個無腦的簡單模型——「念研究所就能賺比較多,所以該念;念什麼不知道,大學念什麼就接著念,或者找一個好申請、容易畢業的去念」。在他父母那個年代,研究所文憑是社會公認「這人應該不錯」的訊號;但隨著大學普設,文憑這十幾年一路貶值,AI 時代更是如此。所以如果你要的就是那張紙,它已經從「有念就加分」變成:要嘛念名校,要嘛先想清楚你要它在哪裡幫你補強。後段、甚至中間地帶學校的轉換價值,正在快速消失。

不過「先工作」這個建議有例外,那就是:如果你已經想清楚要做的職業,而且那個職業本身有硬性門檻。門檻分兩種。

第一種是制度型門檻,寫在法律裡的入場券,像醫師、律師、會計師、心理師、建築師、教授、研究員——沒有那個文憑就不能執業。即使如此,Joe 還是鼓勵你能先找個相關的助理工作,像去法律事務所做個一年,確認自己真的喜歡再去念,避免唸完才發現不愛。

第二種是市場型門檻,是供需造成的事實門檻。法律沒規定,但產業熱門、起薪高、人人想進,僱主就用學歷做第一輪篩選。最典型的就是台積電——法律沒規定製程、設備工程師一定要碩士,但核心職缺絕大多數都寫「碩士以上」,因為投履歷的人太多,HR 用學歷直接砍掉一半。在現在的 AI 熱潮下,聯發科、輝達這些頂尖公司,很可能也是同樣的邏輯。沒那張紙,你連面試機會都拿不到。

但 Joe 多提醒一層:就算有門檻,也要想這個產業未來是變大還是變小。硬門檻保障的是「別人不能輕易介入」,不代表這個產業會興旺。像國中小老師是被保障的職業、進入門檻不低,但「拿到教師資格」不等於「有工作」,流浪教師就是證明。門檻高,不一定賺得多。

所以回到那位外語系同學的提問。Joe 的答案是:家境不好應該趕快出來工作,因為你需要那份收入;家境好也應該出來工作,因為不出來,你就不會知道自己讀的東西,是不是真正想要的。

最後,收斂成三個重點。

第一,2026 年讀研究所,不是越年輕讀越好,而是越知道自己要什麼、越知道自己缺什麼,才去讀,才真正有效。而要知道自己要什麼,幾乎唯一的辦法就是先出來工作一兩年。

第二,AI 改變了兩件事:它讓「先做再學」變得可行,你可以進職場碰到問題再自學;它也削弱了學歷這個訊號,放大了可被驗證的實戰成果。所以純粹為了那張紙而念,只剩名校還划算。

第三,先工作的例外,是有硬門檻的職業,像醫師、律師這種制度型門檻,或台積電這種市場型門檻。但就算有門檻,也要先評估這個產業未來是變大還是變小,門檻高不等於賺得多。

家境好真正的紅利,其實不是可以更早繼續念書,而是當你哪天決定要讀時,可以沒有經濟壓力地輕鬆去讀;決定不讀,也不必勉強自己。這份彈性,才是紅利。

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