Think back to your first real job. Maybe you cleaned up spreadsheets or wrote the first draft of something your manager later tore apart. It wasn’t glamorous, but it’s where you learned how work actually gets done.
A lot of those starter tasks are exactly what AI tools are getting good at. And that’s quietly changing who gets hired.
What’s Changing
For many businesses, AI has made it easier to handle routine work without adding headcount. A first draft or a data cleanup can now take minutes, and someone more experienced can review the result.
The effect shows up in who gets hired. Researchers at Stanford and Harvard have both found signs that young workers are getting fewer opportunities in roles where AI can take on routine tasks. Interestingly, it’s happening mostly through hiring. Companies are keeping the junior employees they have and simply bringing fewer new ones in.
AI isn’t the only reason it’s tough to land a first job right now. The broader hiring market has been slow, too. But for anyone deciding whether to fill an entry-level role, the question is very real.
Why It Matters for Your Business
Every seasoned team lead and go-to account rep started somewhere. Those early roles are where people build judgment and earn the trust that leads to bigger responsibilities.
Using AI for routine work can make a lot of sense today. The catch is that the change is easy to miss. There are no layoffs, and the work still gets done. But if businesses everywhere quietly stop bringing in new people, the experienced talent they’ll need in five or ten years has to come from somewhere.
It’s worth asking now: who will be your next generation of experienced employees, and where will they learn?
An Opportunity for Smaller Employers
If some larger companies are hiring fewer early-career workers, that may leave talented people looking for a place to start. Small and midsize businesses are often well positioned to offer one.
Early-career employees at a smaller company often get to see more of the business and take on real responsibility early. For someone starting out, that kind of exposure can be hard to find elsewhere. For the business, it’s a chance to develop people who understand how you work from the ground up, and who may stay and grow with you.
Ways to Build an Early-Career Pipeline
Start small with internships or apprenticeships. A part-time or seasonal role lets you get to know someone’s work before making a long-term commitment, and gives them real experience in return.
Build relationships with local schools. Community colleges, trade programs and universities are often looking for employers to partner with on internships, projects or career events.
Pair new hires with a mentor. A go-to person who can answer questions and explain the unwritten rules helps early-career employees learn faster and feel connected.
Be clear about expectations from day one. People starting their careers may not know norms that experienced employees take for granted, like how quickly to respond to messages or when to ask for help. Spelling those out sets everyone up for success.
Hire for judgment and curiosity. For entry-level roles, a candidate’s willingness to learn and think through problems can matter as much as what’s already on their resume.
Rethinking Entry-Level Roles Alongside AI
AI can also be a reason to redesign entry-level roles.
If routine tasks are increasingly handled by AI tools, entry-level employees can spend more time on work that builds lasting skills, like talking with customers and learning how decisions get made. When AI supports the employee, the role stays focused on learning and growth.
Learning to use AI well can also become part of the job. Giving new hires a chance to build that skill early, with guidance, prepares them for how work is changing and makes them more valuable to your team.
Investing in the People Who Come Next
The research is still early, and AI’s long-term effect on jobs will keep unfolding. What’s already clear is that entry-level work is changing. Businesses that keep making room for people at the start of their careers, and thoughtfully redesign those roles alongside AI, will be building the experienced team they’ll rely on in the years ahead.