Gen Z is taking control of its professional development, but traditional training approaches risk holding young workers back. Trent Cotton explores why self-directed learning is reshaping expectations and how L&D teams can respond with personalised pathways, meaningful mentorship and opportunities that build on existing skills rather than starting from scratch.
Think about an athlete who shows up to pre-season already in shape. They have done the work before competition time, studied the playbook and built their conditioning on their own time. The old coaching model assumes you start everyone from scratch: the same baseline drills and same linear progression for every player. But when someone arrives already ahead of that curve, putting them through beginner drills disengages them and, eventually, they find a better team.
23% cite not having the right experience or skill set as their top concern
According to the ICIMS Insights May Workforce Report, 30% of entry-level job seekers are actively learning new AI skills on their own initiative, and 23% cite not having the right experience or skill set as their top concern. This generation has diagnosed the problem themselves. The question for L&D professionals is whether the systems organisations have built are designed to meet someone who is already in motion.
The market has raised the bar and Gen Z have noticed
The competitive pressure driving this behaviour is not imaginary. ICIMS data shows 59% of entry-level job seekers say companies now expect them to already have mid-level experience. Yet, according to Handshake research, only 28% of recent graduates believe their educational institutions have meaningfully integrated AI into their programs.
The gap is real, and so is the anxiety around it. Only 19% of entry-level job seekers feel very confident about their careers, and half have already changed or are reconsidering their career paths entirely because of AI disruption. Rather than waiting for someone to close that gap, Gen Z is closing it themselves: 30% are actively learning new AI skills, 26% are pursuing additional education or certifications and 29% are networking more. This is self-directed learning not as a soft preference but as a rational economic response.
Gen Z also makes up the largest share of the current workforce, with job seekers ages 18 – 34-years-old accounting for 64% of all applications in May 2026, according to ICIMS. The scale of this self-directed upskilling surge is not a niche trend.
The choose-your-own-adventure generation
The most significant mistake L&D teams make with Gen Z is treating them the way previous generations expected to be treated. Offering a vertical, pre-sequenced learning path that assumes everyone starts at the same place is not the Midas touch.
Gen Z is already identifying the skills they believe they will need and actively acquiring them. They need more of a choose-your-own-adventure approach to learning, one that acknowledges where they already are, responds to what they are reaching for next and does not make them sit through content they have already taught themselves.
Deloitte found that three-quarters of Gen Z expect generative AI to reshape their work within the next year. Gen Z leads all generations in AI adoption at 82%, compared with 52% of Baby Boomers, according to research from London School of Economics and Protiviti. The starting point has shifted. L&D programs need diagnostic entry points, not default beginnings.
Self-directed does not mean self-sufficient
Gen Z’s willingness to learn on their own is not an invitation for employers to abdicate responsibility for development. Even though Gen Z is digitally native, self-directed learning alone cannot meet the demands of modern professional environments. They still expect structured training programs, combining technical AI skills with creativity, critical thinking and adaptability. Access to a platform does not qualify as a program, and a library of content is not a curriculum.
The Deloitte survey found that 86% of Gen Z are seeking mentorship and guidance, and 88% say on-the-job learning and practical experience. Yet, only 36% say their managers teach or mentor them. Mentorship is viewed as core infrastructure for this generation, not a perk.
What L&D needs to do differently
Gen Z candidates are already demonstrating the adaptability and growth mindset every organisation says it needs. The task is to build environments where it can go further. That means four concrete shifts.
- Start with a diagnostic, not a syllabus
Assess where everyone actually is before prescribing a path. Personalised entry points are a baseline condition for keeping this cohort engaged - Build structured AI upskilling programs, not just tool access
Gen Z wants comprehensive programs that combine technical AI fluency with human skills, like judgment, creativity and communication. A program that addresses only tools misses half the job - Formalise mentorship and apprentice programs
Leaving mentorship to organic chance is a structural failure when just 36% have access to one. Formal programs, manager-as-mentor training and dedicated time for coaching conversations will become competitive infrastructure - Create time, not just content
What Gen Z most wants from employers is dedicated time for learning that does not conflict with core responsibilities. That appetite is already there. Space is what is missing
The competitive advantage is already in the building
Gen Z is the largest portion of the workforce and the most AI-native generation in it. They have a natural orientation toward continuous learning that most organisations spend years trying to cultivate in other employees.
That is a competitive asset waiting to be unlocked. The athletes are already in shape. The question is whether the coaching system is ready to take them further.
Trent Cotton is Head of Talent Insights at ICIMS
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