# Gen Z's AI Learning Surge Faces Practical Application Challenges

> Despite being the most frequent users of AI for learning, a staggering 57% of Gen Z workers find it difficult to apply their knowledge in practical scenarios, highlighting a crucial gap that employers must address.

**Source**: allwork.space | **Published**: 2026-10-03 | **Type**: research

## Key Facts

- 92% of Gen Z use AI for learning, indicating a shift towards tech-driven education methods.
- 57% of Gen Z struggle to apply AI-learned skills, revealing a gap in practical knowledge application.
- 71% of Gen Z feel busy learning without improvement, highlighting potential inefficiencies in training.
- Companies investing in AI tools must also provide coaching, as tech alone doesn't ensure skill mastery.
- Increased learning time (76%) doesn't guarantee better results, suggesting a need for effective training strategies.

## Summary

A recent survey by language-learning platform Preply reveals that while Generation Z is the most frequent user of AI tools for learning, a significant 57% struggle to apply what they have learned in practical work scenarios. This discrepancy highlights a critical gap in skill application that could impact workforce productivity and effectiveness, raising questions for employers about the efficacy of AI as a learning aid.

The survey, which included over 5,000 professionals across nine countries, indicates that 92% of Gen Z respondents utilized AI for skill development. However, the findings also show that these younger workers feel increasingly overwhelmed, with 71% expressing a sense of busyness without tangible improvement. In contrast, only 40% of Gen X respondents reported similar struggles, suggesting a generational divide in the effectiveness of AI-assisted learning.

The challenges faced by Gen Z workers may stem from a fundamental misunderstanding of the material they engage with through AI. For instance, a new hire might successfully replicate an Excel formula provided by a chatbot without grasping the underlying concepts. This lack of comprehension can hinder their ability to adapt or explain their work when questioned by supervisors. As Josh Crossick, Preply's chief product officer, notes, while AI can facilitate access to information, it does not replace the essential process of practicing and building confidence through real-world application.

This finding signals a pressing need for businesses to reevaluate their training and development strategies. Employers increasingly invest in AI-driven learning tools, yet the lack of effective application suggests that these tools must be complemented by traditional coaching and mentorship. The human element of learning—such as informal feedback and real-time interaction with experienced colleagues—remains crucial. As Iain Smith from Sunny Workplace points out, new employees may miss out on informal learning opportunities in a remote work environment, where face-to-face interactions are limited.

The implications for organizations are significant. Companies must recognize that merely providing AI tools is insufficient for fostering a competent workforce. To bridge the gap between learning and application, businesses should consider integrating more robust support systems, such as mentorship programs and collaborative learning environments. These initiatives can help new hires navigate the complexities of their roles and reinforce the knowledge gained through AI.

As the workforce continues to evolve, the reliance on AI for learning will likely increase. However, the findings from Preply's survey suggest that organizations need to take a more holistic approach to employee development. By combining AI tools with human guidance, companies can enhance the learning experience, ensuring that employees not only acquire knowledge but also develop the practical skills necessary to apply it effectively. This dual approach may ultimately lead to a more competent and confident workforce, better equipped to meet the challenges of the modern business landscape.

## Entities

- **Companies**: Preply, Skillsoft, Rosetta Stone, Sunny Workplace
- **Technologies**: AI, chatbot
- **People**: Josh Crossick, Apratim Purakayastha, Todd Hughes, Iain Smith, Tatiana Sataua

## Key Concepts

AI in learning, Gen Z learning habits, Skill application struggles, Importance of coaching, Informal learning, Feedback in the workplace, Role of technology in education, Generational differences in learning

## Definitions

- **AI**: Artificial Intelligence refers to the simulation of human intelligence in machines that are programmed to think and learn.
- **chatbot**: A chatbot is a software application designed to simulate conversation with human users, especially over the Internet.
- **Gen Z**: Generation Z refers to the cohort of individuals born approximately between 1997 and 2012, known for their comfort with technology.
- **coaching**: Coaching is a process that involves guiding individuals to improve their skills and performance through feedback and support.
- **informal learning**: Informal learning is the acquisition of knowledge and skills through everyday experiences and interactions rather than formal education.

## Use Cases

- Using AI for learning new skills
- Practicing language skills with AI-generated materials
- Employers investing in AI tools for employee training
- Using chatbots for answering workplace questions
- Rehearsing interview answers with AI
- Accessing practice materials more easily through AI

## Frequently Asked Questions

**Why do many Gen Z workers struggle to apply what they learn from AI?**

Many Gen Z workers report feeling overwhelmed by the amount of information they learn through AI, leading to difficulties in applying that knowledge practically. The gap between learning and application raises concerns about skill development in the workplace.

**How does AI support learning?**

AI supports learning by providing access to vast resources and tools that can help individuals practice and acquire new skills. However, it is important to note that AI is not a complete substitute for human interaction and coaching.

**What role does coaching play in skill development?**

Coaching plays a crucial role in skill development by providing personalized feedback and guidance that helps individuals understand and apply what they have learned. It complements the use of AI tools by addressing the human aspects of learning.

**What are the limitations of using AI for learning?**

While AI can facilitate access to information and practice materials, it lacks the ability to provide nuanced feedback and understand social cues, which are essential for effective learning. This can lead to gaps in understanding and application.

**How can employers support Gen Z workers in their learning?**

Employers can support Gen Z workers by providing a combination of AI tools and human coaching. This approach helps bridge the gap between theoretical knowledge and practical application, ensuring that employees feel confident in their skills.

## Links

- [Read on Welcome.AI](https://welcome.ai/content/gen-zs-ai-learning-surge-faces-practical-application-challenges)
- [Original source](https://allwork.space/2026/10/gen-z-uses-ai-more-than-any-other-generation-to-learn-yet-57-struggle-to-apply-what-they-learn/)
- [Reply](https://welcome.ai/company/reply): Featured company

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Source: Welcome.AI | https://welcome.ai/content/gen-zs-ai-learning-surge-faces-practical-application-challenges