
白領(lǐng)“職場末日”的警告聲越來越大,Z世代大學(xué)畢業(yè)生的前景似乎一片黯淡。特別是有志于進(jìn)入科技行業(yè)的年輕人焦慮情緒尤為強(qiáng)烈。以往交給初級開發(fā)人員的編程工作,現(xiàn)在幾分鐘就能夠自動化完成。一些行業(yè)領(lǐng)袖的預(yù)測顯示,傳統(tǒng)的初級軟件崗位可能很快會消失。
但最近的數(shù)據(jù)表明,推測計算機(jī)專業(yè)畢業(yè)生將被徹底淘汰可能有些言過其實。
2026屆畢業(yè)生的起薪預(yù)測顯示,雇主仍在競相爭奪技術(shù)人才,也愿意為此支付高額薪酬。根據(jù)美國大學(xué)和雇主協(xié)會(National Association of Colleges and Employers)發(fā)布的《2026年冬季薪資調(diào)查》(2026 Winter Salary Survey),計算機(jī)專業(yè)學(xué)生的預(yù)期起薪為81,535美元,比去年增長近7%。該調(diào)查收集了150家機(jī)構(gòu)的反饋,包括雪佛龍(Chevron)、CVS Health、百事公司(PepsiCo)和威瑞森(Verizon)等《財富》美國500強(qiáng)企業(yè)。

計算機(jī)專業(yè)本科畢業(yè)生的受歡迎程度排名第三位,僅次于金融和機(jī)械工程畢業(yè)生。在研究生層面,計算機(jī)碩士學(xué)位最受歡迎,甚至超過了MBA。
科技非營利組織Code.org的總裁兼首席執(zhí)行官卡里姆·梅吉表示,對此并不意外,因為具備技術(shù)基礎(chǔ)的人最有能力引領(lǐng)人工智能時代。
“現(xiàn)在越來越多人說,人工智能時代計算機(jī)專業(yè)過時了,事實并非如此?!泵芳f,“人工智能并沒有淘汰計算機(jī)專業(yè),反而讓這一專業(yè)更重要。”
招聘形勢依然緊張,即便對Z世代科技畢業(yè)生也是如此
然而,亮眼的薪資預(yù)測并不意味著一帆風(fēng)順。
盡管部分雇主(包括IBM)表示計劃在特定領(lǐng)域增加初級崗位招聘,不過美國大學(xué)和雇主協(xié)會的數(shù)據(jù)顯示,2026屆畢業(yè)生的整體招聘規(guī)模預(yù)計將與2025年基本持平。
招聘停滯的背景下,數(shù)百萬年輕人本就難以立足職場,很多人淪為“啃老族”(NEET),即不上學(xué),不就業(yè),也不接受培訓(xùn)。即便已經(jīng)順利獲得學(xué)位,財務(wù)壓力同樣實際,本科畢業(yè)生平均背負(fù)約29,550美元的聯(lián)邦學(xué)生貸款。
人工智能短期內(nèi)不會消退,因此無論什么專業(yè),適應(yīng)這項技術(shù)都不再是選擇,而是必備基礎(chǔ)。企業(yè)領(lǐng)袖越來越認(rèn)為,人工智能不一定會直接取代員工,但懂人工智能的員工可能會取代不懂的人。
“不需要每個人都成為軟件工程師,也完全沒有必要。”梅吉說,“但我們要幫年輕人培養(yǎng)持久的跨學(xué)科能力,包括計算思維、數(shù)據(jù)素養(yǎng)、系統(tǒng)思維和負(fù)責(zé)任的計算能力?!?/p>
這一觀點與整體勞動力市場趨勢一致。領(lǐng)英(LinkedIn)的數(shù)據(jù)顯示,人工智能工程、落地實施和商業(yè)戰(zhàn)略已經(jīng)是增長最快的技能類別,意味著市場對能應(yīng)用,適應(yīng)新興技術(shù)人才的需求正在轉(zhuǎn)變。
初級崗位競爭空前激烈,Z世代如何脫穎而出
就業(yè)市場持續(xù)收緊,對初級崗位求職者來說,打造差異化優(yōu)勢變得前所未有的重要。人工智能讓定制簡歷和求職信變得異常簡單,求職門檻也在不斷提高。
青年人才職業(yè)平臺Handshake的首席教育戰(zhàn)略官克里斯汀·克魯茲維加拉建議,年輕人應(yīng)該重視自我評估和個性化。
“人工智能無法復(fù)制品味,也無法復(fù)制獨一無二的你?!彼饲案嬖V《財富》雜志,“就算你和我都用ChatGPT寫求職信申請同一份工作,我們的責(zé)任是輸入足夠多的個人信息。”
擁有強(qiáng)大的社交網(wǎng)絡(luò)和支持系統(tǒng)同樣至關(guān)重要,她補(bǔ)充道。
“你會自我懷疑,也會反復(fù)糾結(jié)自己是否足夠優(yōu)秀。”她說,“你需要有人誠實地告訴你優(yōu)勢和能力在哪里,同時也可以坦率地指出你犯的錯誤?!?/p>
未來職場的真正走向仍未可知,梅吉認(rèn)為保持理性視角很重要。
梅吉說:“不要害怕,職場的未來一直在變。前幾代人也曾經(jīng)擔(dān)心自動化、全球化和互聯(lián)網(wǎng)造成沖擊。真正能夠歷經(jīng)考驗的是底層知識、持久的技能,還有心態(tài)。包括批判性思考、協(xié)作、解決問題和適應(yīng)變化。其實,人工智能的發(fā)展讓這些能力變得更關(guān)鍵?!保ㄘ敻恢形木W(wǎng))
譯者:梁宇
白領(lǐng)“職場末日”的警告聲越來越大,Z世代大學(xué)畢業(yè)生的前景似乎一片黯淡。特別是有志于進(jìn)入科技行業(yè)的年輕人焦慮情緒尤為強(qiáng)烈。以往交給初級開發(fā)人員的編程工作,現(xiàn)在幾分鐘就能夠自動化完成。一些行業(yè)領(lǐng)袖的預(yù)測顯示,傳統(tǒng)的初級軟件崗位可能很快會消失。
但最近的數(shù)據(jù)表明,推測計算機(jī)專業(yè)畢業(yè)生將被徹底淘汰可能有些言過其實。
2026屆畢業(yè)生的起薪預(yù)測顯示,雇主仍在競相爭奪技術(shù)人才,也愿意為此支付高額薪酬。根據(jù)美國大學(xué)和雇主協(xié)會(National Association of Colleges and Employers)發(fā)布的《2026年冬季薪資調(diào)查》(2026 Winter Salary Survey),計算機(jī)專業(yè)學(xué)生的預(yù)期起薪為81,535美元,比去年增長近7%。該調(diào)查收集了150家機(jī)構(gòu)的反饋,包括雪佛龍(Chevron)、CVS Health、百事公司(PepsiCo)和威瑞森(Verizon)等《財富》美國500強(qiáng)企業(yè)。
計算機(jī)專業(yè)本科畢業(yè)生的受歡迎程度排名第三位,僅次于金融和機(jī)械工程畢業(yè)生。在研究生層面,計算機(jī)碩士學(xué)位最受歡迎,甚至超過了MBA。
科技非營利組織Code.org的總裁兼首席執(zhí)行官卡里姆·梅吉表示,對此并不意外,因為具備技術(shù)基礎(chǔ)的人最有能力引領(lǐng)人工智能時代。
“現(xiàn)在越來越多人說,人工智能時代計算機(jī)專業(yè)過時了,事實并非如此?!泵芳f,“人工智能并沒有淘汰計算機(jī)專業(yè),反而讓這一專業(yè)更重要?!?/p>
招聘形勢依然緊張,即便對Z世代科技畢業(yè)生也是如此
然而,亮眼的薪資預(yù)測并不意味著一帆風(fēng)順。
盡管部分雇主(包括IBM)表示計劃在特定領(lǐng)域增加初級崗位招聘,不過美國大學(xué)和雇主協(xié)會的數(shù)據(jù)顯示,2026屆畢業(yè)生的整體招聘規(guī)模預(yù)計將與2025年基本持平。
招聘停滯的背景下,數(shù)百萬年輕人本就難以立足職場,很多人淪為“啃老族”(NEET),即不上學(xué),不就業(yè),也不接受培訓(xùn)。即便已經(jīng)順利獲得學(xué)位,財務(wù)壓力同樣實際,本科畢業(yè)生平均背負(fù)約29,550美元的聯(lián)邦學(xué)生貸款。
人工智能短期內(nèi)不會消退,因此無論什么專業(yè),適應(yīng)這項技術(shù)都不再是選擇,而是必備基礎(chǔ)。企業(yè)領(lǐng)袖越來越認(rèn)為,人工智能不一定會直接取代員工,但懂人工智能的員工可能會取代不懂的人。
“不需要每個人都成為軟件工程師,也完全沒有必要?!泵芳f,“但我們要幫年輕人培養(yǎng)持久的跨學(xué)科能力,包括計算思維、數(shù)據(jù)素養(yǎng)、系統(tǒng)思維和負(fù)責(zé)任的計算能力?!?/p>
這一觀點與整體勞動力市場趨勢一致。領(lǐng)英(LinkedIn)的數(shù)據(jù)顯示,人工智能工程、落地實施和商業(yè)戰(zhàn)略已經(jīng)是增長最快的技能類別,意味著市場對能應(yīng)用,適應(yīng)新興技術(shù)人才的需求正在轉(zhuǎn)變。
初級崗位競爭空前激烈,Z世代如何脫穎而出
就業(yè)市場持續(xù)收緊,對初級崗位求職者來說,打造差異化優(yōu)勢變得前所未有的重要。人工智能讓定制簡歷和求職信變得異常簡單,求職門檻也在不斷提高。
青年人才職業(yè)平臺Handshake的首席教育戰(zhàn)略官克里斯汀·克魯茲維加拉建議,年輕人應(yīng)該重視自我評估和個性化。
“人工智能無法復(fù)制品味,也無法復(fù)制獨一無二的你。”她此前告訴《財富》雜志,“就算你和我都用ChatGPT寫求職信申請同一份工作,我們的責(zé)任是輸入足夠多的個人信息。”
擁有強(qiáng)大的社交網(wǎng)絡(luò)和支持系統(tǒng)同樣至關(guān)重要,她補(bǔ)充道。
“你會自我懷疑,也會反復(fù)糾結(jié)自己是否足夠優(yōu)秀。”她說,“你需要有人誠實地告訴你優(yōu)勢和能力在哪里,同時也可以坦率地指出你犯的錯誤?!?/p>
未來職場的真正走向仍未可知,梅吉認(rèn)為保持理性視角很重要。
梅吉說:“不要害怕,職場的未來一直在變。前幾代人也曾經(jīng)擔(dān)心自動化、全球化和互聯(lián)網(wǎng)造成沖擊。真正能夠歷經(jīng)考驗的是底層知識、持久的技能,還有心態(tài)。包括批判性思考、協(xié)作、解決問題和適應(yīng)變化。其實,人工智能的發(fā)展讓這些能力變得更關(guān)鍵。”(財富中文網(wǎng))
譯者:梁宇
With warnings of a white-collar “jobpocalypse” growing louder, the outlook for Gen Z college graduates can seem bleak. Among aspiring tech workers in particular, the anxiety has been especially intense. Coding tasks once left to junior developers can now be automated in minutes—fueling predictions from some industry leaders that traditional entry-level software roles could soon vanish.
But new data suggests that speculation about the outright demise of computer science graduates may be overblown.
Starting salary projections for the class of 2026 show employers are still competing for technical talent—and paying a premium to do so. Computer science majors are expected to earn starting salaries of $81,535, up nearly 7% from last year, according to the 2026 Winter Salary Survey from the National Association of Colleges and Employers (NACE). The survey included responses from 150 organizations, including Fortune 500 employers like Chevron, CVS Health, PepsiCo, and Verizon.
Bachelor’s degree holders in computer science are also the third most in-demand major, slightly trailing finance and mechanical engineering. At the graduate level, computer science master’s degrees rank as the single-most in-demand credential—outpacing even MBAs.
Karim Meghji, president and CEO of tech nonprofit Code.org, said he’s not surprised because those with tech foundations are the ones best equipped to lead an AI future.
“There’s a growing narrative that AI makes computer science obsolete, but it’s just not the case,” Meghji said. “AI isn’t killing computer science; it’s making it more essential.”
Hiring remains tight—even for Gen Z tech grads
Still, strong salary projections don’t mean smooth sailing.
While some employers (including IBM) have signaled plans to ramp up entry-level hiring in select areas, overall hiring for the class of 2026 is expected to remain largely flat compared with 2025, according to NACE.
That stagnation comes as millions of young adults are already struggling to gain a foothold in the market, with many falling into the category of NEET—not in education, employment, or training. And for those who have secured a degree, the financial pressure is real: Bachelor’s degree recipients carry an average federal student loan balance of about $29,550.
With AI not expected to fade anytime soon, adapting to the technology is becoming less optional—and more foundational—regardless of major. Business leaders increasingly argue that AI won’t necessarily replace workers outright, but workers who understand AI may replace those who don’t.
“We don’t need everyone to become a software engineer—far from it,” Meghji said. “But we do need to help young people build durable, cross-disciplinary skills: computational thinking, data literacy, systems thinking, and responsible computing.”
That message aligns with broader labor market trends. AI engineering, implementation, and business strategy now rank among the fastest-growing skills categories, according to LinkedIn—suggesting shifting demand for workers who can apply and adapt to emerging technologies.
Entry-level jobs are more competitive than ever—here’s how Gen Z can stand out
With the tightened job market remaining, differentiation is becoming more important than ever for entry-level applicants. And because AI has made it easier than ever to tailor résumés and cover letters, the bar is only rising.
According to Christine Cruzvergara, chief education strategy officer at Handshake—a career platform for early-career talent—young people should lean on self-evaluation and personalization.
“AI can’t replicate taste; it can’t replicate who you are,” she previously told Fortune. “If you and I are both using ChatGPT to help us write our cover letters for, say, even the same job, our responsibility is to feed it enough information about ourselves.”
Having a strong network and support system is just as critical, she added.
“You will question yourself, and you might second guess if you’re good enough,” she said. “You need folks that are going to be an honest reflection to you of what your strengths are, what your skills are, and, quite frankly, also tell you if you’re making mistakes at the same time.”
With the true future of work still unknown, Meghji said it’s important to have perspective.
“Don’t be fearful,” Meghji said. “The future of work is always evolving. Previous generations worried about automation, globalization, and the internet. What endures are the underlying knowledge, durable skills, and mindsets: how to think critically, collaborate, solve problems, and adapt. AI, in fact, makes those skills all the more critical.”