July 03, 2025

Gen Z and Gen AI: The New Digital Mentorship Revolution

Gen Z and Gen AI: The New Digital Mentorship Revolution

Forget the traditional image of wide-eyed graduates eagerly seeking wisdom from seasoned mentors over coffee. If you think that is still how career guidance works, you are missing the whole digital revolution unfolding right under our noses. With the breakneck speed of change happening today, Gen Z has already “moved on” and reimagined how they seek career advice and professional development.

Well, how different can it be? The short answer is that change is happening faster than you can say “artificial intelligence.”

Let’s dissect the fascinating challenges and opportunities that Gen Z’s embrace of GenAI presents to understand what modern HR leaders and organisations are truly facing today.

Read more:Decoding Gen Z: What does MBTI say about Gen Z?

Why Gen Z trusts AI algorithms over humans

Here is a statistic that will make even the most progressive HR director do a double-take: Nearly 47% of Gen Z employees claim to receive better career guidance from Gen AI than from their managers. [1]

Shocking? Yes, but why are young professionals turning to chatbots instead of their bosses? The reasons are more nuanced than you might expect.

No judgment, 24/7 availability

Unlike human mentors, who are constantly busy with their own schedules, moods, and biases, AI advisors are perpetually available and able to provide answers almost instantly.

Gen Z professionals can ask for guidance at 2 AM without worrying about their advisor getting mad. Other perks are the lack of judgment or concern about revealing career insecurities and no office politics to navigate.

Read more:Gen Z’s Expectations for Leadership Are Reshaping Modern Workplaces

Personalised, data-driven insights

The AI “advisor” can analyse vast amounts of career data, industry trends, and skill requirements to provide highly personalised advice.

It can identify patterns in successful career trajectories, suggest relevant upskilling opportunities, and even predict which roles might be at risk of going obsolete due to technologies.

The advice can be tailored to an individual’s specific background and aspirations.

Reduced explicit bias

Despite their best intentions, we humans carry our own experiences, prejudices, and limitations.

In theory, AI algorithms are designed to evaluate information based on data, not personal prejudice, social identity, or workplace politics. This makes them attractive to a generation that values fairness, inclusion, and transparency.

Read more:The Future of Work from Gen Z & Millennials’ POV: What Numbers Tell Us

The dark side of digital mentorship

This shift towards AI-powered career guidance is not without its risks and limitations. Several concerning trends are emerging that organisations need to address, namely:

– AI advisors might reinforce existing preferences or biases in their recommendations, inadvertently creating an echo chamber. This can limit Gen Z from gaining diverse perspectives and unconventional career paths that human mentors might suggest.

– Traditional mentorship relationships teach crucial soft skills like understanding people’s emotions, reading body language, navigating difficult conversations, and building authentic professional relationships. AI advisors, no matter how sophisticated, cannot replicate these nuanced human interactions.

– Another significant threat coming from the AI “advisor” is its oversimplification of complex situations. Career decisions often involve complex personal, ethical, and emotional considerations that require human judgment. AI might provide technically sound advice, but it misses the deeper context that makes each individual’s situation unique.

There is a risk that constant reliance on AI guidance might diminish Gen Z’s ability to think critically about their career choices, potentially creating a generation that struggles with independent decision-making.

Read more:The Urgent Need for a Leadership Development Plan

Whitepaper | Developing Growth Mindset in Middle Managers

When management falls short

Gen Z has a strong need for personal development. However, many are finding their supervisors are missing the mark and inadequate for the task. They want more than just a pat on the back or a “well done” message after completing a job. 89 per cent of Gen Z perceive a sense of purpose to be important to their job satisfaction and well-being. [2]

The problem is not necessarily that managers do not care. The reality is that managers and supervisors are often unprepared for the unique challenges facing today’s young workforce.

For instance, when a Gen Z employee approaches their manager for career advice on navigating an increasingly AI-integrated workplace, the manager may not be fully equipped with the knowledge and skills about this emerging tech to mentor their subordinate. Because let’s take a step back, they are also experiencing this very phenomenon for the first time in their career.

Read more: Psychometric vs. Personality Assessments – Are They the Same?

Meanwhile, an AI advisor can instantly provide insights about industry trends, skill gaps, and future-proofing strategies based on real-time data analysis.

This signifies the gap where traditional mentorship falls short. 74 per cent of Gen Z believe Gen AI will impact the way they work within the next year, and they are proactively seeking guidance from sources that understand this reality. [2]

Nevertheless, the advanced yet robotic solution might not be able to replace the human connection entirely. At least, not in the coming near future.

When AI threatens new Gen Z graduates and entry-level job seekers

Ironically, whilst Gen Z embraces AI for career guidance, AI is simultaneously “breaking first… the bottom rung of the career ladder”. 61% of Gen Z say Gen AI could block new entrants to the workforce.

Despite being a reliable source of mentoring, Gen Z also fears Gen AI might block their opportunities to enter the workforce. According to Newsweek, entry-level jobs are “collapsing”. [3]

In an email to Newsweek on the matter, Professor Daniela Rus, the Director of Computer Science and Artificial Intelligence Laboratory at MIT, explained that “Entry-level jobs tend to involve routine, well-defined tasks—exactly the kind of work current AI systems are best suited to automate.”

Read more:Will Skills-Based Hiring Overtake Degree Requirements?

This creates several unique challenges:

– Disappearing junior roles: Many entry-level positions that once provided on-the-job training, mentorship, and exposure to workplace culture are vanishing. What remains often demands higher technical proficiency or more extensive experience, painting an even more competitive and complex environment for recent graduates.

– Blurry skill-building pathways: Without those foundational roles, it becomes harder for new workers to develop soft skills, industry knowledge, and professional confidence—all of which were once acquired on the job.

– A growing education-to-employment gap: Universities continue to prepare students for roles that may no longer exist. Meanwhile, companies increasingly expect early-career hires to arrive pre-trained, creating a mismatch that leaves many new graduates lost and frustrated.

– Increased competition and career anxiety: With fewer traditional entry points and a surge in applications per role, Gen Z workers face intense competition. This pressure is contributing to a growing sense of uncertainty and lower career confidence among young professionals.

In response, many Gen Z job seekers are turning to self-directed learning—such as online boot camps, YouTube tutorials, and certifications in AI and data science—to stay relevant. While this initiative is admirable, it also reflects a systemic failure: employers are offloading the responsibility of early-career training onto individuals who have yet to have a chance to step through the door.

Read more:Why Google says no to job interviews

The paradox in action

Gen Z is not anti-AI, they are among its most fluent users. They are actively engaging with AI to chart career paths, upskill, and boost productivity. Yet, paradoxically, the same tools they are mastering are automating away the exact roles they need to launch their careers.

So, if Gen Z is redefining mentorship and AI is taking on the advisor role and beyond, where does that leave organisations? In our next article, we will explore how forward-thinking companies can adapt, support this new model of professional development, and prepare their teams for a future where digital and human mentorship blend by design, not default.

Don’t just watch the shift; be ready for it!

Learning & development Solution

Sources:

1. https://www.bostonbrandmedia.com/news/gen-z-workforce-prefers-ai-over-managers-for-career-guidance

2. https://www.deloitte.com/global/en/issues/work/genz-millennial-survey.html

3. https://www.newsweek.com/gen-z-entry-level-jobs-disappearing-ai-2086537

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build at: 2025-12-21T01:57:00.655Z