Gen Z's AI Learning Gap: Nine in Ten Study With AI, Few Can Apply It

Gen Z has made AI its favorite study partner, but a sweeping new survey suggests all that digital tutoring is not translating into real-world skill. The finding, drawn from more than five thousand working professionals across nine countries, points to what could fairly be called the AI learning gap: the generation most eager to learn with AI is also the one most likely to struggle when it is time to actually do the work.

The study, released this week by language-learning platform Preply, surveyed workers who had tried to develop a career-related skill in the past year. Among Gen Z respondents, a remarkable 92 percent said they used AI to help them learn, the highest adoption of any generation, according to Preply's official announcement. Yet that enthusiasm has not produced confidence: nearly three quarters of Gen Z respondents said they felt busy learning without actually improving, and more than half reported struggling to put what they learned into practice on the job.

The numbers get starker in comparison. Against the generation raised on the smartphone, Gen X reported far fewer difficulties: 56 percent felt busy without improving, 40 percent struggled to apply new knowledge, and 38 percent had abandoned learning in the past year. Among Gen Z, the abandonment figure was 68 percent. About a third of young respondents said they lean on AI more than they would like, and a similar share described AI-assisted learning as more passive than active. The company frames the distance between effort and mastery as the "Progress Gap" — its term for the AI learning gap between studying extensively and gaining the ability to perform.

For employers, the results complicate a convenient assumption: that handing junior staff an AI assistant is the same thing as training them. With entry-level roles already under pressure from automation, the workers most exposed to that pressure may be building a library of answers they cannot execute. Gen Z NewZ has been tracking that squeeze in our career-path coverage, including how AI is already shrinking entry-level hiring. This survey adds a wrinkle: the supposed cure for junior-role disruption might be leaving young workers less capable, not more.

How Gen Z Learns Differently From Everyone Else

The research reveals a learning culture split along both generational and national lines. Globally, 88 percent of professionals now use AI somewhere in their learning, and 76 percent say they spend more time developing skills than they did two years ago, often across three or more methods at once. But adoption does not mean fluency: 52 percent of all respondents said they did not see results commensurate with the effort they put in, a signal that access to information and mastery of a skill are very different things.

Where and how workers learn with AI varies dramatically. Senior leaders are the heaviest daily users — 47 percent use AI for learning every day, compared with 31 percent of non-managerial employees — and executives are nearly twice as likely as other workers to want AI to take the lead in their learning. Geographically, Argentina and Poland reported the highest overall AI adoption at 93 percent, while the United States and Japan sat at the low end with 85 percent, still a large majority. Motivation differs too: American and British professionals are among the most performance-driven, with half of US respondents and 54 percent of UK respondents saying they learn mainly to improve in their current role, versus 41 percent globally.

The tool's most common uses are revealing. Workers turn to AI primarily for explanations or definitions (48 percent), summarizing or simplifying material (43 percent), translation (35 percent), receiving feedback or corrections (34 percent), and planning their learning (30 percent), according to the report. In other words, AI excels at the input side of learning — clarifying, condensing, translating — which may explain why the output side, doing the thing under real conditions, lags behind.

Closing the AI Learning Gap Takes Practice, Not Prompts

Preply is careful about what its survey does and does not prove. As noted in independent coverage of the findings, the company explicitly states the data cannot explain why Gen Z experiences the widest gap — it only shows that the group most engaged with modern learning tools is also most aware of the distance between knowing something and performing it confidently. That honesty matters, because the easy takeaway — that AI makes young workers lazy — is not what the numbers support.

The more grounded reading is that learning with a chatbot removes the friction that used to force comprehension. Asking a colleague or a tutor a question meant risking looking foolish; it also meant getting feedback on your reasoning in the moment. A chatbot answers instantly and endlessly, which is wonderful for rehearsal but poor at telling you whether you actually understand. The counterpoint from educators and managers, reflected across workplace-learning research, is consistent: accountability, live feedback, and practice under real conditions are what convert knowledge into skill, and none of those ship inside a prompt window.

That is the practical takeaway for anyone early in their career. Treat AI as a rehearsal space, not a replacement for reps. If a chatbot walks you through a spreadsheet formula, redo it from scratch without the transcript. If it drafts your pitch, deliver it out loud to a person and let them poke holes in it. And if your employer offers structured training, mentorship, or peer review — the human scaffolding Preply says its own business model bets on — take it. The survey's clearest message is not that Gen Z studies wrong; it is that studying more only compounds when practice keeps pace, and right now, for the generation learning hardest, it is not.