We’ll start this blog off by saying this: Yes, AI is in the title of this blog, and yes, this blog discusses AI, but make no mistake… This is about talent retention.
Companies are handling AI in all kinds of ways: some are ignoring it, some are investing heavily and conducting mass layoffs, some are talking about “leveraging AI” but giving sparse guidance to their teams… and some are operating with an “every man for himself” mentality. But no matter what happens now or in the future, this truth is evergreen: the Gen Z, entry-level workers of today are the middle-managers and leaders of the year 2040. That means that how we treat (and train) them now, even with the promise of AI, determines whether we have a generation of leaders in 15 years.
With that in mind, let’s talk about the impact of AI on workers in the early stage of their careers.
AI Is Reshaping the First Five Years of Work
Based on our own research and conversations with today’s workforce, one of the biggest implications of AI is what happens to people just starting their careers.
For decades, professionals developed skills through a progression of entry-level tasks. They learned how to research, write, analyze information, solve problems, communicate with customers, and navigate workplace dynamics through repetition in their first few years of work.
Many of those tasks can now be completed faster with AI, which creates an interesting challenge.
For example, a 22-year-old employee may be asked to contribute at a level that once required several years of experience. While that creates opportunity, it can also create developmental gaps if organizations are not intentional.
If AI performs the task, where do people learn the skill?
That is why organizations need to think differently about early-career development, mentorship, knowledge transfer, critical thinking, career pathways, and skill-building experiences. The future workforce will not need less development. It may actually need more.
This is also why AI adoption cannot be separated from change management. If organizations are changing how work gets done, they also need to change how people are trained, coached, and supported through that transition.
On a more systemic level, consider the impact of mass, AI-related layoffs. So many of those laid off are the entry-level workers—AKA, the ones doing work that is more easily automated. While this solves a short-term problem (cutting overhead cost taken up by salaries), it vastly decreases the number of jobs available to entry-level workers, which means that instead of gaining experience, they spend their time searching for a job in a tough market. While that impact may only be felt by the entry-level employees at the present moment… what happens when their professional development is arrested from lack of experience, and you end up needing them in 15 years?
New developmental gaps + a lack of entry-level jobs? That’s a recipe for a talent retention disaster.
Are We Losing Our Problem-Solving Muscles?
Every technology shift changes how people think. Calculators changed math. GPS changed navigation. Search engines changed information gathering. AI may change—or has already changed—how we approach problem-solving. And even though AI is bringing this conversation to the forefront, the “problem-solving gap” is one that has already been impacting generational divides in the workplace (and we wrote about it here).
The risk in the current moment is not that AI gives us answers. The risk is that we stop asking questions—and that we stop teaching our entry-level employees which questions to ask.
The strongest professionals will use AI as a thought partner. They will use it to explore ideas, challenge assumptions, move faster, and improve their thinking. Weaker professionals may become overly dependent on outputs they never evaluate or question. Over time, that can erode critical thinking, judgment, and decision-making skills. And if you’re not careful with how AI is used in your workplace, that means sloppier communication, poorer data analysis, rushed projects, and weaker results.
That is a concern for every generation in the workforce, not just younger employees.
This is where leaders and managers play a major role. If you’re an employer who is still hiring entry-level employees, it’s now your job to fill in the problem-solving gap. Employees need to be trained not only on how to use AI, but how to think with it. They need to know when to question an output, when to verify information, when to bring in human judgment, and when a conversation should not be automated at all.
This conversation sounds like a threat, but we suggest that instead, you see this as a massive opportunity. With so many entry-level jobs disappearing, and younger workers disillusioned with company loyalty, the ball is in your court to stand out. If you a) keep hiring entry level workers, b) invest in them heavily and teach them problem-solving skills, and c) cultivate a workplace that makes them feel valued, you just might be one of the workplaces in 2040 that weathers this uncertain time and comes out stronger on the other side.
What About Gen Alpha?
Not to raise the stakes on this entire conversation, but we can’t discuss the future of work without acknowledging Gen Alpha. They will likely become the first generation to enter the workforce having never known a world without AI. (Let that sink in.) For them, AI will feel completely normal and part of daily life from the beginning. Just as Millennials grew up assuming internet access would always exist, Gen Alpha may assume AI assistance is simply part of everyday life.
That raises an important question: how do we ensure future employees still develop curiosity, judgment, communication skills, and resilience when answers are available instantly? And how do we retain them, no matter what their specific needs will be?
The organizations that figure this out early will have a significant advantage in the coming years.
The Real Challenge Is Not AI
The real challenge is not whether AI is coming. It is already here, which we know you know.
The question is whether organizations are paying attention to what AI is changing beneath the surface.
As routine tasks become automated, the skills that help people succeed at work do not disappear. In many cases, they become more important. Critical thinking, judgment, communication, relationship-building, adaptability, and problem-solving are still what separate high performers from everyone else.
The difference is that many employees may have fewer opportunities to develop those skills naturally through traditional entry-level experiences.
That is why organizations need to think carefully about how they design career paths, transfer knowledge, develop managers, and create opportunities for learning. If AI accelerates work, development cannot become an afterthought.
Every generation will experience this shift differently. Some employees will embrace it immediately. Others will approach it cautiously. Some will need help building confidence, while others will need help slowing down and thinking critically about the outputs they are receiving.
This is what effective change management looks like in real life. It is not just announcing a new tool or writing a policy. It is preparing people for what is changing, helping them understand why it matters, training them on how to adapt, and creating the support systems needed for the change to actually stick.
The organizations that navigate this transition successfully will focus on more than technology adoption. They will focus on helping people adapt, learn, and grow alongside technology.
Because ten years from now, the competitive advantage will not have been who had access to AI. Nearly everyone will. The advantage will belong to organizations that have figured out how to develop capable, curious, and adaptable people in an AI-enabled world—and to actually retain them so that when Gen X and elder Millennials begin to retire, you have leaders ready to fill their shoes.
At Generational Performance Solutions, we help organizations have these conversations in a way that is practical, human, and tied to performance. Through our keynotes and workshops on AI Across Generations, we help leaders and teams understand how different generations are experiencing this shift, where skill gaps may be emerging, and how to build the training, communication, and change strategies needed to move forward with confidence.
AI may change how work gets done, but people will ultimately determine whether organizations move forward or get stuck. The companies that succeed won’t just be the ones with the best technology. They’ll be the ones that invest in helping their people understand it, adapt to it, and use it well.
Did you like this week’s post? Then you might like these posts below.
Gen Z and AI: Where They Stand—And Why It Might Surprise You
Why Change Management is a Leader’s Most Essential Skill
The Shifting Conversation Around Burnout: A Reflection on the 2026 Winter Olympics
What’s Next?
If your team is navigating generational friction, stalled performance, or culture misalignment—it’s time to take action.
At GPS, we’re on a mission to help organizations unlock clarity, communication, and performance across every generation. And we don’t just talk about results—we deliver them in 90 days or less.
Connect with us today and start driving results that last.
