10/13/2026
Early in our careers, a lot of us learned by doing work we weren't particularly good at yet.
We prepared the first draft, analyzed the data, sat in endless meetings, received feedback, and tried again.
Whether you look back at those entry-level roles fondly or not, there's a good chance they provided you with something a classroom or training program never could.
These tasks helped you build real-world judgment.
And now, as leaders, we need to be intentional about creating similar opportunities for younger generations.
AI is replacing plenty of entry-level tasks across industries, but, as McKinsey reports, forward-thinking organizations are redesigning early-career roles to help people build discernment alongside emerging technologies.
One interesting approach companies are using asks employees to attempt their work independently, compare their thinking with an AI-generated result, and then work with a manager to understand the differences.
In this scenario, AI might change the learning experience, but it doesn't eliminate the hands-on practice, reflection, coaching, or application necessary to develop skilled team members.
People need opportunities to test their thinking, see the consequences, and apply what they learn.
It's our job to think about more than simply taking work off of someone's plate and instead consider what experiences our people still need to advance in their careers.