Written by NUPIAO |
Edited by | Wen Shuqi
It’s graduation season again.
This year, we’re looking at another record-breaking batch of college grads nationwide, making youth employment the hot topic once again. Just recently, the State Council rolled out its “15th Five-Year Plan for Prioritizing Employment,” explicitly calling for us to “adapt to AI development to boost job creation and entrepreneurship” while expanding pathways for grads and young talent.“adapt to AI development to boost job creation and entrepreneurship”, while expanding pathways for grads and young talent.
Around the same time, the Ministry of Human Resources and Social Security kicked off the 2026 “Internet Company Cloud Recruitment Month.” Big names like JD.com, Baidu, Alibaba, and Kuaishou are jumping in, using live-streaming job fairs and online portals to open up roles specifically for fresh grads.“Internet Company Cloud Recruitment Month”, big names like JD.com, Baidu, Alibaba, and Kuaishou are jumping in, using live-streaming job fairs and online portals to open up roles specifically for fresh grads.
Sure, these internet giants reopening their doors gives grads a fresh shot, but what’s really worth paying attention to isn’t just how many spots are open—it’s how AI is completely flipping the script on talent demand. Companies are still hiring, but the rules of the game have totally shifted.
From Large Models to Agents: AI Is the New Campus Hiring Magnet
For the past two years, everyone’s been debating whether AI is gonna steal young people’s jobs. But if you look at what companies and recruiters are actually saying, the real story isn’t about vanishing roles—it’s about reinventing them.
Someone from Zhaopin’s Shanghai branch told NUPIAO that platform data shows AI isn’t just upgrading traditional jobs; it’s spawning tons of brand-new career paths.
According to Zhaopin’s latest numbers, AI engineers are seeing a 31.1% spike in grad demand, with data engineers up 28.3%; tech roles like robot algorithm specialists, chip engineers, and software devs are all climbing steadily. Robot algo roles alone jumped 57% year-over-year, while smart driving and IoT engineer spots in the EV sector are blowing up too.
“What we’re seeing clearly isn’t mass job loss—it’s a complete reshape of the employment landscape.”The source at Zhaopin shared with us, noting that on one hand, AI’s handling the repetitive, standardized grunt work. On the other, it’s sparking massive demand for R&D, algorithms, data, and smart manufacturing pros.
And honestly, this shift is even more obvious from the employer side.
Jade, a lead recruiter at JD Group, pointed out that the AI talent market has already gone through several major swings.
“After OpenAI dropped those key models late last year, the industry officially went into full-throttle AI headhunting mode. At first, companies were just chasing lab pedigrees and theoretical research. But with domestic large models accelerating and Agent tech taking off this year, our hiring bar has definitely evolved.”
Jade noted that today, employers are actively hunting for hybrid talents who can juggle large model R&D, Agent development, and actual engineering deployment.
At the same time, what companies want from AI pros keeps getting more specific.
Jade spilled the beans that JD is constantly bringing on devs across the entire lifecycle of language and multimodal models—from pre-training to post-training. This year, they’ve zeroed in on two new buckets: folks who can optimize model architecture and manage compute resources, plus Agent developers. Plus, as JD dives into embodied AI, they’re now casting wider nets for candidates with cross-disciplinary backgrounds like physics.
Truth is, JD isn’t pulling these stunts alone.
Back in March, Alibaba officially launched its 2027 internship drive. Sixteen business units—including Alibaba Group Cloud, Taobao/Tmall, Taobao Flash Deals, Alibaba International, Tongyi Lab, Wukong Division (formerly DingTalk), Qwen Division, T-Head, and Amap—are hiring simultaneously. Locations span Hangzhou, Beijing, Shanghai, plus Singapore, Frankfurt, Sunnyvale, and beyond.
“Compared to previous cycles, the biggest shift this round is the massive expansion of AI roles. Alibaba added seven new AI-specific tracks, pushing AI-related openings past 80% of the total. We’re talking large models, multimodal systems, AI infrastructure, and practical applications,”a rep at Alibaba told NUPIAO.
Right alongside that, Alibaba rolled out the 2027 “Ali Star Top Talent Program” internship pipeline. Since kicking off back in 2011, it’s attracted over 200 elite young tech minds, racking up more than 3,000 papers and patents. Selected stars get mentorship from top experts, face-to-face chats with executives, one-on-one technical coaching, and serious computing power to play with.
Tencent’s been running its “Qingyun Plan” for top-tier tech talent, heavily betting on AI, big data, and cybersecurity. Meanwhile, Baidu’s leaning hard on its ERNIE Bot and Apollo autonomous driving projects to keep stacking up AI talent.
Whether it’s building foundational models or shipping real-world apps, AI has firmly taken center stage in campus recruiting.
Why Hybrid Skills Beat Pure Specialization
Another huge shift driven by AI? How companies evaluate talent——If tech firms used to care mostly about your major, these days, they’re putting a premium on well-rounded, cross-functional skill sets.
Zhaopin’s Shanghai team shared survey data revealing that 76.4% of employers ramped up their hunt for hybrid talent over the past year. The biggest shortages are right now in three areas: business-savvy generalists, digital ops & marketing pros, and AI/algorithm specialists.
But let’s be real—half of companies feel university curricula just can’t keep up with industry pace. Over a third say there’s a mismatch between grad skills and actual job requirements. Shockingly, 90.6% of grads hit a skills wall during job hunts, and 70.2% admit they need to level up their AI tool game.
“Going forward, sticking to a single major won’t cut it for long-term advantage. Cross-functional agility is gonna be the ultimate differentiator for grads,”the Zhaopin contact added.
Jade from JD sees this moving way beyond just hiring. She shared with NUPIAO:“AI tools supercharge how fast top performers learn. High achievers will see exponential leaps in capability. The next wave of competition won’t be about traffic wars like in the old internet days—it’ll be about which companies build the best talent ecosystems and design smarter org structures,”
She also pointed out that for elite devs, money isn’t the only draw anymore.“Can you ship industry-leading results? Do you get enough autonomy and room to experiment? Those factors usually outweigh the paycheck.”
Stop Worrying About AI—Start Collaborating With It
Companies are evolving, and grads are adapting.
Take Xiao Jiang, a recent journalism grad from Communication University of China. She’s already scored four offers this year. Starting her senior fall, she tossed out nearly 100 resumes. Out of the handful she seriously interviewed with? Almost all handed out acceptance letters.
Her biggest takeaway? The bar is undeniably higher this year.
“Everyone’s still stressed about landing a job. It feels like requirements keep creeping up while benefits take a hit.”Xiao Jiang admitted.
Still, unlike the panic over AI replacing content creators, she’s keeping it chill. As a data journalism grad, she uses AI daily to dig up sources, skim papers, polish interview outlines, transcribe recordings, and even structure her drafts.
“Think of AI as a seriously handy search engine, or an intern who’s eager but sometimes misses the point.”To her, AI boosts speed but can’t replicate the core of journalism.“Interviewing, spotting stories, finding fresh angles, fact-checking—those are human strengths. Honestly, AI made fact-checking even more critical.”
When asked if AI will eventually replace reporters, she didn’t hesitate.
“My edge is simple: the angles I pitch, AI doesn’t see. I know what resonates with people and what shifts matter. AI needs raw events, data collection, and processing time before it even gets close to understanding context. That lag is my playground.”
She believes a journalist’s real superpower is spotting emerging trends from fragmented info—and that’s exactly why newsrooms will always exist.
Xiao Jiang isn’t flying solo here.
Zhaopin’s data backs this up: IT, electronics, and telecom remain the top picks for elite grads, consistently holding over 20% of interest. Meanwhile, young talent’s drifting away from traditional platform gigs and moving toward AI, robotics, and EVs—the cutting-edge productivity sectors.
“The real race isn’t humans vs. AI. It’s about who leverages AI best to create actual value,”the Zhaopin rep concluded.
Between state-level pushback encouraging AI-driven hiring, cloud recruitment drives flooding the market, and both companies and grads rewriting the rules together, a whole new employment ecosystem is taking shape.
AI hasn’t halted internet hiring—it’s just redefining who actually stands out.
For this year’s grads stepping into the workforce, this isn’t the end of human labor. It’s a fresh starting line where success belongs to those who master AI collaboration and keep leveling up their own game.
