Gen Z's Learning Progress Gap: AI Can't Teach You to Perform

Learning more, improving less

Gen Z studies harder than any generation at work, and it keeps feeling like it goes nowhere. That is the headline finding of a Preply study released last week, which the language-learning platform called the "Progress Gap": the distance between how much people study and how confident they feel putting new knowledge to use. Preply surveyed more than five thousand working professionals across nine countries who had tried to build a career-related skill in the previous year, according to coverage from WDC TV News.

The numbers are blunt. Ninety-two percent of Gen Z respondents said they used AI to learn, the highest share of any generation. Yet fifty-seven percent of them also said they struggled to apply what they learned in real life, compared with forty percent of Gen X respondents. Nearly three-quarters, seventy-one percent, said they felt busy learning without improving, against fifty-six percent of Gen X. Across the survey, this was the largest generation-wide skills disconnect recorded: a learning progress gap you can measure.

And the effort is real. Across all working adults ages eighteen to fifty-five, seventy-six percent said they spent more time learning than they did two years ago, while fifty-two percent said that extra time did not always bring better results. Improving performance in a current role was the most common reason people studied at all, and the subjects ran from data science and AI to business management and public speaking. Separate reporting on the same study notes that sixty-eight percent of Gen Z had stopped studying at least once in the past year, according to hi-tech.ua. The learning progress gap keeps widening precisely because the effort keeps increasing.

The practice problem AI can't fix

AI supplies answers without building the skill behind them, and that shortcut is the learning progress gap in miniature. A new hire can ask a chatbot for an Excel formula, copy it, and get the right number without understanding why the formula divides the change by last year's sales. The moment the boss asks them to change the calculation or explain the result, the learning progress gap shows up in full, because understanding is the part no chatbot can hand over.

Josh Crossick, Preply's chief product officer, told Fortune that learning is a process of acquiring knowledge, practicing, and building confidence over time. "AI is powerful," Crossick told Fortune. "And AI is able to support in that journey, but it's far from the whole journey." That matches what many Gen Z workers already sense: the tool explains the answer, but the confidence to defend it has to come from somewhere else.

Apratim Purakayastha, then general manager of talent development solutions at workplace training company Skillsoft, told Fortune that AI practice tools have limits. "But this does not replace coaching," he said. Todd Hughes, who trains language tutors at Rosetta Stone, told Fortune he asks ChatGPT to generate Swedish reading passages at his level. "For me, the whole AI thing is like this huge library," Hughes said. But he also said real conversations depend on cues a machine may miss. "I'm communicating with you because I see that your head is going up and down. You're giving me some type of active listening. You're following up on what I'm saying. I don't think that AI is there yet." This is where the learning progress gap lives: between consuming practice material and performing under pressure.

Employers are paying for learning that doesn't land

Fifty-one percent of respondents said their employer paid for some or all of their learning, which means companies are funding education that employees do not feel ready to bring into the office. That should concern every manager who bought licenses and called it a development strategy. The learning progress gap is a budget problem as much as a skills problem.

Structural forces widen the learning progress gap, too. Iain Smith, head of behavioral science at nonprofit employee engagement platform Sunny Workplace, told Fortune that new workers may miss informal learning in workplaces where colleagues communicate through screens. "They're not necessarily now sitting next to someone who's been doing the job for twenty years and learning the shortcuts and the hacks and the little ways of coping with a stressful day," Smith said. "They're turning up to Zoom." He cautioned against reading too much into generational labels: a new employee's actual workplace experience matters more than their birth year.

Crossick offered an example from his own life to make the point. While learning Spanish during six years in Spain, his tutor taught him grammar and vocabulary, but they also rehearsed real conversations, including taking his children to the doctor. "With another person, you're in the role play. You have to keep going," Crossick said. A mistake did not end the exchange; he had to work through it. "Practicing with a person feels riskier than practicing with a machine," he said, and that risk is exactly what builds confidence. "The tools are just the tools," Crossick said. "You need to combine that with coaching and support and an understanding of how to apply those tools."

This is not the first sign the AI work era is bumpier than promised. We recently covered the AI productivity tax eating your workweek, and McKinsey's finding that agentic AI productivity fell at thirty percent of companies. Meanwhile, half of how people use Copilot is now cognitive work, which means the machines are assisting while the humans are still supposed to think. Closing the learning progress gap probably starts with employers accepting that licenses are only the beginning, and that practice with real people is the expensive part they skipped.