Recruiting in the age of AI: what the new generation of graduates expects

The new generation of graduates expects three things from an employer in 2026: a competitive salary, training on artificial intelligence, and a clear framework for how that AI will be used. The first is familiar. The other two are recent, and they reverse a common assumption about recruitment. Most employers treat AI as the tool they use to sort candidates, while the candidates have turned it into one of the criteria on which they sort employers.

What Gen Z graduates expect from employers in 2026: the short answer

• Salary comes first. 74% place pay at the top of their professional priorities, 17 points higher than in 2025.
• Training on AI. 79% want their company to train them on AI tools.
• A clear ethical framework. 40% expect an explicit charter governing AI use.
• AI that lightens the workload rather than monitors it. 48% say it must remain a support tool.
• An honest answer on junior roles. 74% are aware that AI threatens entry-level positions.

AI has broken the graduate funnel

The pile is growing from both ends. On Handshake, the largest American early-career platform, the average number of applications per job rose 26% through August 2025, while the number of jobs posted fell by more than 16%. Postings for entry-level technology roles, the category most often described as exposed to automation, fell about 15%; healthcare roles, among the least exposed, fell about 12% (Handshake, 2026 Workforce Outlook). Whatever is shrinking the entry-level market, it is not doing it selectively.

Volume is not the whole problem; signal quality is. Forty-four per cent of employers say they have detected AI-generated applications, and a further 35% do not know whether they have. Only 20% use any tool to look, and 64% use none at all (NACE, Job Outlook 2026 Spring Update, 159 respondents). The uncertainty is the finding.

Employers are not rebuilding the machine as fast as the narrative suggests. Twenty-two per cent use AI in their recruiting at all (NACE, 2025 Recruiting Benchmarks Report), and 28% are looking for AI skills in candidates, against 43% who are not and 29% who are unsure (NACE, Job Outlook 2026 Spring Update).

The candidate side has automated faster than the employer side, and the result is the same either way. A CV and a covering letter no longer separate one applicant from another, because the cost of producing a polished one has fallen to almost nothing, and most of the employers reading them have no way of telling.

Who is actually applying

Those numbers invite a simple conclusion: that a generation is gaming the system. The survey data supports a different one.

According to the SKEMA x EY Talent Barometer 2026, 96% of young talent have already used generative AI and 61% use it at least once a day, and 45% of them several times a day. The distribution matters more than the headline. That 96% breaks down into 84% who use it for their studies, 72% in their personal lives, and only 44% in a professional context.

In other words, the graduates applying to your scheme have built their fluency almost entirely outside the workplace, in settings your recruitment process does not measure.

That gap is not closing. The 2024 edition of the same survey found 72% using AI in an academic context against 41% in a professional one. Two years on, academic use has climbed, and professional exposure has barely moved. The samples and polling institutes differ between editions, so the comparison indicates a direction rather than a precise gap, but the direction is consistent.

Two further findings look contradictory at first. 83% consider themselves already competent with AI tools, and 79% still want their employer to train them on AI. They are not asking for an introduction to prompting, but for the professional framework nobody has given them: what is permitted, on what data, with what verification, and who carries the risk when the model is wrong.

The pattern holds well beyond Europe. Deloitte's 2026 Global Gen Z and Millennial Survey, covering more than 22,500 respondents across 44 countries, finds that 74% of Gen Z use AI to some extent in their day-to-day work, and reports that they feel they are adapting to AI faster than their organizations do. The American picture is more cautious than either. About 80% of graduating seniors have used generative AI tools and 24% use them daily, up from 13% two years earlier, but the uses they name most are brainstorming, at 74%, and self-teaching, at 68%, ahead of writing code at 30% and creating content at 22%. Around three-quarters rate themselves as reasonably or very skilled (Handshake, 2026 Workforce Outlook, 2,440 Class of 2026 students surveyed in July 2025).

What they are assessing you on

Asked what they want from a future employer on AI, the 2026 respondents answered:

• 79% want to be trained on AI by their company.
• 48% expect AI to remain a lever for reducing workload rather than a surveillance tool.
• 40% expect a clear ethical charter.
• 39% describe the ideal company as one that frees them from repetitive, low-value work.

They are neither technophobes nor enthusiasts. 91% consider that AI improves efficiency at work, and 52% believe a company that does not use AI will have lost its competitive position within three to five years. Your position on AI now sits alongside pay and career prospects in the judgment they make about you, which makes it an employer brand question rather than an IT one.

They are also clear-eyed about the risk to themselves: 74% are aware that AI threatens junior roles. On this point, the surveys diverge, and the divergence is not between countries but between sides of the table. In the United States, more than half of hiring managers believe generative AI will create jobs, against 24% of graduating seniors, and among the more than 60% of seniors who are pessimistic about their careers, almost half now name AI as a reason, against a third a year earlier (Handshake, 2026 Workforce Outlook, 1,042 hiring managers and 2,440 students surveyed in July 2025). Employers are not seeing what students are bracing for. Either way, the employer that describes what a junior role will become over three years, rather than offer reassurance, is addressing a question this cohort is already asking itself.

Human skills are the tiebreaker

Among young talent, 60% name critical thinking as the most decisive skill for professional success, ahead of emotional intelligence at 43% and creativity at 37%. Where they want training, they name prompting first at 56%, then data analysis at 46%.

Among employers, recent graduates are rated lower on AI skills than on any other career-readiness competency, and the same employers want specific skills backed by examples rather than a list, by 59% to 16% (NACE, Job Outlook 2026 Spring Update).

Both groups point to judgment rather than tool use, and judgment is the quality a generated application is least able to evidence.

Beyond AI: salary is back at number one

The 2026 survey has a second story, and it corrects a familiar narrative about this generation. Salary has returned to the top of their priorities, cited by 74%, up 17 points on the 2025 edition. In the United States, employers project an average starting salary of $68,873 for Class of 2026 graduates with a business degree, up 5.5% on the previous class (NACE, Winter 2026 Salary Survey).

The search for meaning has not disappeared; it has moved. It now attaches to the quality of daily working life: good working relationships gained 12 points, flexible hours 16, remote working 5. Flexibility reads here as a condition of the job rather than a favor granted, and a graduate scheme that treats flexibility as a concession is answering a question this cohort stopped asking.

Alongside that, 72% remain optimistic about entering the labor market, even as negative sentiment rises, with respondents describing themselves as anxious, up 4 points, lost, up 9, and pessimistic, up 3.

For an employer brand, the implication is that a campaign built on purpose while avoiding the question of pay will not land on this cohort.

What this changes for graduate recruitment

Stop optimizing the filter. With applications per job up 26% and postings down more than 16%, tightening the screen does not restore the signal. It removes more candidates faster, without telling you whether the ones removed were the capable ones.

Become selectable. This cohort assesses your AI position much as it assesses your salary band. Say what you offer: which tools, what training, what usage framework, what ethical rules, and what the career path from a junior job in your organization looks like over three years. 79% are waiting for that answer, and most employers are not yet giving it.

Move the effort towards pre-qualified channels. When open applications stop carrying information, the value shifts to settings where judgment is visible. Campus encounters, career fairs and sector days, internships and apprenticeships put you in front of candidates whose work you can observe directly. Each year more than 9,000 SKEMA students undertake an internship or apprenticeship, and companies looking to recruit SKEMA students can reach that pipeline through job postings, campus events or corporate partnership options, which cover recruitment, employer brand and teaching involvement.

To discuss how to meet these graduates before they join the application queue, contact the corporate relations team. Further employer data and analysis are published in SKEMA's corporate analysis and publications.