Gen Z L&D: Why the Old Playbook Won't Work

The next generation of workers isn't waiting to be trained. They're already learning, on their own terms, at their own pace, and using AI tools most L&D programmes haven't caught up with yet.

That tension is the central challenge for HR Directors right now. A 2025 KPMG U.S. survey of 361 interns (predominantly Gen Z) found that the experiences they valued most were hands-on practice, mentoring relationships, and network building. Not e-learning modules. Not self-paced video libraries. The things that happen when people are in the room together, working on real problems.

At the same time, Deel's State of Global Hiring Report shows the jobs landscape is shifting faster than most organisations can respond to. Hiring is increasingly global, role requirements are changing as AI takes over routine tasks, and entry-level positions look different from those they did even three years ago. For HR Directors, that creates a specific design challenge: how do you build an L&D approach that works for workers who are already ahead of you on AI adoption, but still need the human infrastructure — mentors, relationships, lived experience — that no platform can replicate?

Gen Z already knows what AI can't do

The KPMG findings cut against a common assumption: that Gen Z are digital natives who prefer screen-based learning above everything else. In reality, they're making a more sophisticated calculation.

They've grown up watching AI improve rapidly. They know what it's good at, and so they're deliberately investing in the skills that sit outside AI's current reach: critical thinking, judgment, adaptability, and creativity. The KPMG survey found this explicitly: Gen Z interns are "doubling down on judgment, creativity and adaptability — the skills AI can't replace." That's a strategic insight most experienced professionals took years to arrive at. Gen Z is starting there.

For L&D design, this matters because it shifts the brief. The question isn't "how do we teach Gen Z to use new tools?" Many organizations adopting AI at scale already have their AI upskilling strategy in place. The question is "how do we build programmes that develop the judgment and relational skills that tools can't develop for them?" Those programmes look different. They're heavier on real work, real feedback, and real relationships — lighter on content consumption.

The global talent shift makes this more urgent

Our Global Hiring Report shows a meaningful rise in cross-border hiring, with companies increasingly building distributed teams across multiple countries and time zones. That has direct implications for early-career L&D.

When a new Gen Z worker joins a globally distributed team, the informal development infrastructure — the hallway conversation, the working lunch, the visibility that comes from proximity — is harder to access by default. They're more likely to be working alongside contractors, employees in different time zones, and AI agents handling parts of workflows that used to be entry-level responsibilities.

If AI is absorbing the routine tasks that previously gave junior workers a chance to build foundational skills, HR Directors need to design replacement pathways consciously. You can't assume that exposure alone will develop capability when the work itself has changed shape.

The answer isn't to resist the shift. It's to design structured experiences that deliberately create the developmental moments the traditional career ladder used to produce automatically: mentoring programmes, project rotations, and cross-functional exposure.

What high-impact Gen Z L&D actually looks like

The data points to three non-negotiables: practical experience, mentoring, and network building. Here's what each one requires from an L&D design perspective.

Practical experience means real projects with real stakes, not simulations. Gen Z workers want to see how their work connects to outcomes. Build assignment structures that give them ownership of a defined scope early, with clear feedback loops, rather than observational roles that delay meaningful contribution.

Mentoring relationships require deliberate matching and maintenance. Informal mentoring works in co-located environments with strong cultures. In distributed, global teams, it atrophies quickly without structure. Formalise the pairing process, set expectations on both sides, and create time for it in both parties' schedules. A mentoring relationship that exists on paper but competes with a full calendar delivers nothing.

Network building in a global context means cross-border, cross-functional exposure. That means designing programmes that deliberately connect early-career workers to people outside their immediate team — not as a social bonus, but as a core developmental goal. Internal mobility, project secondments, and structured peer cohorts all serve this.

AI as a learning tool, not just a work tool

Despite prioritising in-person experiences, Gen Z is already using AI to learn as well as to complete tasks. They use it to ask questions they'd otherwise be embarrassed to ask in meetings, to get rapid feedback on drafts, to explore ideas before they feel confident enough to raise them with a manager.

HR Directors who ignore this are missing both a risk and an opportunity. The risk: workers are self-directing their AI-enabled learning outside any organisational framework, which means you have no visibility into gaps or quality. The opportunity: if you deliberately build AI into your L&D infrastructure, you can meet Gen Z workers where they already are while maintaining the structure and standards that matter.

This isn't about replacing human mentors with chatbots, but about giving workers better tools to prepare for, process, and extend the learning that happens in human interactions. AI can surface relevant content before a mentoring session. It can help a worker reflect on feedback. It can personalise development pathways in ways that static programmes can't.

Combining on-demand AI learning with human interaction

The best Gen Z L&D strategy sequences AI and human interaction deliberately. AI-powered learning suites like Engage handles the heavy lifting: surfacing relevant content before a mentoring session, personalising development pathways based on real skills gap data, and tracking progress against career goals. That frees your managers and mentors to focus on what they're actually there for — building judgment, navigating ambiguity, and developing the relational skills that no tool can replicate. AI takes care of the personalisation layer. Humans deliver the experience Gen Z is actively investing in. Both working together is what a high-impact L&D programme looks like in 2026.

For global distributed teams, that combination doesn't happen by accident, and so it has to be built. When your Gen Z hires are spread across time zones, the informal moments that used to drive development don't exist by default. There's no hallway conversation, no working lunch, no visibility that comes from being in the room.

Get more advice from Alice in our guide to scaling global HR without losing the human touch.

Conclusion: design for the worker in front of you

Gen Z workers are entering the workforce with a clear-eyed view of where value lies in an AI-enabled economy. They want judgment, relationships, and real experience — and they're already using AI to accelerate their own development outside formal programmes.

The organisations that will retain and grow this cohort are the ones that take that seriously. That means auditing current L&D provision honestly: how much of it is content delivery that workers can already get faster and better elsewhere? How much creates the mentoring, practical exposure, and network that actually develop the skills Gen Z are prioritising?

For global teams, especially, this requires intentional infrastructure. Deel HR’s talent management suite, Engage, brings AI-driven learning and development tools into the same platform where you manage your global workforce. That means you can build structured development pathways for workers across every country you hire in — without stitching together separate systems. Given that Gen Z is already using AI to learn skills independently, meet them where they’re at with the tools they’ve already adopted. Engage helps you build frictionless courses, whilst also identifying skills gaps and tying development goals to career progression.

To try it out and see how to future-proof your L&D strategy with Deel, book your 30-minute demo.