4 Ways AI Will Shape Entry-Level Jobs in 2026

For the first time in 45 years, college graduates have a higher unemployment rate than the national average as automation and AI threaten the first rung of the career ladder. Anthropic CEO Dario Amodei has even warned that AI may eliminate up to 50% of entry-level jobs.

While companies may realize short-term efficiency gains by leveraging AI, reducing or eliminating this career level could prove disastrous for their long-term competitive advantage.

AI and Entry-Level Jobs

As HR leaders, we know organizations need entry-level employees to build talent pipelines, bring fresh ideas and perspectives, and reduce long-term payroll costs. Despite increased pressure on HR to eliminate the entry-level position, there is an opportunity to take a leadership position in reinventing it.

As businesses undergo this unprecedented evolution of the career ladder, here are four ways HR leaders can reshape the first rung in 2026:  

1. Redesign Roles

Redesign the roles to engage early-career talent, not bypass them.

HR needs to account for how early-career job responsibilities are changing. As they work with hiring managers to define job descriptions, they should be adding new expectations and removing automated tasks.

For example, early-career jobs are becoming “judgment-first” roles rather than “task-first.” This means the “research and create reports” job requirement, which is now being completed by AI, should be changed to “analyzing research and verifying AI output accuracy.”

Additionally, most entry-level job listings still contain 30–40% legacy tasks that no longer make sense. HR should partner with hiring managers to audit day-to-day work and then validate the findings with current early-career employees, who often know better than managers which tasks are outdated.

Once you have a grasp on which responsibilities are currently needed, rewrite job descriptions to reflect AI-enabled workflows and establish which tasks can be handled by AI and which require human oversight, context and problem-solving.

A guiding principle is ensuring redesigned roles create growth, not grunt work.

Do you have a skills taxonomy? This tool provides a comprehensive inventory of all job requirements relevant to your organization and industry, and it encompasses both hard and soft skills. They offer a skills-based approach to identifying, acquiring, and managing the core competencies that make your business successful.

These updates are not just about changing job descriptions for today but also about planning for the jobs of tomorrow. By partnering with each business unit, you can forecast the skills needed 12–24 months out to build the talent pipelines necessary to run the business now and in the future.

2. Source Talent Differently

As the needs of entry-level jobs evolve, it’s clear that degrees and experience aren’t nearly as important as skills. Sourcing from bootcamps and other workforce programs yields talent with skills that are most relevant and critical to the entry-level work that’s needed today.

One way to source more effectively for skills is to rework ATS filters to de-emphasize GPA, major and years of experience and instead prioritize skills assessments, portfolios and problem-solving tests.

Many HR organizations lack the bandwidth to create modern early-career roles and pathways on their own. High-quality workforce intermediaries, including apprenticeships, career support services, and staffing firms that specialize in skills-first hiring, can shoulder this lift and ensure the pipeline stays strong, diverse and future-ready.

Nonprofit organizations or workforce development programs that specialize in supporting talent who are skilled through alternative routes can help build pipelines that reflect real-world talent diversity.

3. Implement On-the-Job Training

As AI takes on more task-oriented assignments, early-career roles now carry new responsibilities, and training in this evolved skill set is essential. Whether it’s in-house upskilling initiatives or an apprenticeship program managed by an outside provider, training entry-level workers in specific skills allows organizations to remain competitive and innovative:

• Rebuild the early-career experience to cultivate problem-solvers, not task-doers
• Collaborate with department stakeholders to intentionally design stretch assignments, cross-functional rotations, and project-based learning that build judgment, collaboration and critical thinking
• Set AI literacy as a core competency, not a niche skill that new employees bring on day one
• Build an onboarding program that prioritizes AI training and creates systems for ongoing upskilling, and
• Partner with hiring managers to build learning sprints into the first 90 days, full of bite-sized modules aligned to the new responsibilities of AI-augmented entry roles.

On-the-job training isn’t only for entry-level workers. Managers need to be trained to coach — not just delegate — so early-career employees build skills with guidance rather than guesswork.

Clear training paths retain employees, while unclear paths push them out. Two-thirds of employees say they would stay in a job longer if promotion opportunities were defined. Creating a continuous on-the-job learning culture with strong onboarding and career paths will result in improved employee retention and stronger business results.

4. Leverage HR Analytics

Leverage HR analytics tools to track the efficacy of the new entry-level role. HR is expected to use data and AI to track skills acquisition, engagement and career mobility. It must also leverage these tools to solicit and analyze feedback on how onboarding, mentorship, and other programs are being used effectively at the early-career level.

What are time-to-fill rates? How long is onboarding before employees are productive? And how long does entry-level talent stay at the company?

Employers expect that AI will accelerate learning when used properly, so how are you empowering this demographic to become more effective with it? While your KPIs should be updated to reflect these new expectations, it’s not just about updating existing metrics. The early-career demographic has different career goals, and therefore, some new KPIs may need to be created to support them.

Many in this demographic aren’t looking to climb the career ladder quickly, but rather move through an organization laterally, learning about as many different areas of the business as they can and working on a myriad of projects. As such, measuring employee satisfaction needs to evolve accordingly.

We’ve learned that training program completion rates (“they finished the module”) don’t prove capability. HR should track observable skills growth using:

• Skills assessments at 30-, 60-, and 90-day intervals
• Skills gap heatmaps showing where early-career talent struggles most, and
• Predictive analytics identifies who is progressing toward mid-level readiness.

Build executive dashboards that tie early-career effectiveness to business outcomes. Executives care about retention, productivity and pipeline reliability. Dashboards can show:

• Retention comparison: structured training program vs. learn-as-you-go training
• Skills readiness metrics by cohort
• Mobility rates and tenure in a job, and
• Effective management of training through structured feedback loops.

Before implementing training, create benchmarks to accurately measure progress in each of these categories. Then capture comparisons year-over-year by department and function.

When HR proves the ROI of early-career investment with numbers instead of narratives, it’s easier to secure the funding needed to sustain these training and early-career mobility programs.

Leading the Entry Level Talent Evolution

While it’s true that some entry-level jobs are being eliminated, organizations still desperately need this junior demographic. HR has the opportunity and responsibility to lead in this area.

By taking action, HR can spot and share potential obstacles before they become pain points, demonstrate how early-career roles create value and prove that investing in this group of talent isn’t a budget drain, but a competitive advantage.