Война за AI-кадры: технологические гиганты нанимают докторантов за два года до защиты

PhD student Hu Qi from the University of Hong Kong specializes in AI agent security — and he still has about two years until his dissertation defense. Despite this, headhunters are already reaching out with concrete offers and asking about his graduation date. Hu Qi's story reflects a growing trend: tech giants no longer wait for students to finish their studies.

How recruiting happens before graduation

Hu Qi is interning at one of China's major tech companies. His team managers regularly ask about his post-defense plans and insist: he should transition to a full-time role immediately after receiving his diploma — without any gap.

At the same time, calls are coming in from headhunters pitching specific roles and wanting to know exactly when the PhD candidate will finish his program. All of this activity is unfolding roughly two years before the candidate actually enters the job market.

• Hu Qi's specialization — AI agent security, one of the most scarce profiles of 2025–2026
• Place of study — PhD program at the University of Hong Kong (HKU)
• Time until dissertation defense — approximately 2 years
• Offers are arriving simultaneously from headhunters and directly from the internship company

Why companies cannot wait for graduation?

The shortage of AI specialists in niche areas — including security of agentic systems — is so acute that the strategy of "waiting until they graduate" has become too risky. While one company waits, another has already made an offer and signed a contract.

Doctoral programs take four to six years, and the industry's need for talent is growing faster. Corporations are adapting: they shift the recruiting funnel as early as possible, locking in a candidate's interest at the very start of their studies — before the candidate has even begun thinking about the job market.

"This reflects a growing sense of urgency," writes the

South China Morning Post, describing the hunt for academic AI specialists.

What PhD students gain and lose

For researchers with the right specialization, the situation creates a rare negotiating position: choosing an employer years before graduation, outside competition with the open market. An offer can be discussed from the position of a scarce resource, not merely an applicant.

But along with the opportunity comes pressure — companies want an answer now, not in two years. The PhD student faces a choice: lock in terms early or take the risk of waiting for greater competition after defending. AI agent security is a field that has surged to the forefront along with the spread of autonomous systems, and specialists here remain extremely few.

What this means

The war for AI talent has shifted into university classrooms: companies are building their recruiting funnels years in advance — not out of caution, but due to a genuine shortage. For the industry, this is a signal: the lack of AI personnel is not a short-term spike, but a structural problem.