Earlier this year, we demonstrated why early talent needs a major reset. Now the pressing question is, what should early talent recruiting and development look like next?

Right now, the entry-level labor market is under pressure from both directions. HR teams are flooded with applicants for many white-collar roles, yet still struggle to fill critical blue-collar positions fast enough to keep pace with retirements. Candidates are trying to prove their potential value in systems that often rely on static or outdated signals. Employers are trying to find ways to make confident decisions about people who don’t yet have long work history to infer skills or capabilities from.

To find a better way forward, we brought together 26 experts in early talent selection and development across 18 organizations. Together, we explored an ideal future that HR can begin building towards.

The future of early talent recruiting

The future of early talent recruiting will require richer ways to understand how someone behaves, learns, collaborates, and responds to real work. Rather than trying to infer skills and potential from early talent resumes which often lack work experience, organizations will assess early talent potential by leveraging higher-fidelity experiences that feel closer to the job itself.

Key changes early talent recruiting

• Hiring will prioritize traits that help people adapt: learning agility, resilience, curiosity, critical thinking, communication, and collaboration.
• Static domain knowledge and routine skills will matter less, especially as technology changes how entry-level work gets done.
• Assessment will move toward more job-like evidence, including work simulations, realistic job try-outs, behavioral assessments, and portable credentials that travel with the candidate.

In practice, this could make the hiring journey feel very different. A white-collar candidate might complete a short project simulation that shows how they handle ambiguity, communicate tradeoffs, or use AI to improve workflows. A blue-collar candidate might step into a realistic safety scenario, troubleshoot a common equipment issue, or preview a work environment before deciding whether the role is right for them. In both cases, the aim is the same: replace guesswork with clearer, fairer, more practical signals of potential and fit.

What could this look like for white-collar roles?

Success indicators—For white-collar early talent, strong communication, collaboration, openness to experience, and comfort with ambiguity will become more powerful differentiators. The strongest candidates may not be those who know the most, but those who can learn quickly, ask better questions, and work well across teams.

Background signals—University education will still matter, but not in the way it did in the past. HR will place growing value on diverse experiences and combinations of expertise, such as dual majors, project-based learning, internships, extracurricular leadership, or working-students. These experiences help reveal motivation, leadership, and foundational work habits before a candidate has a long professional track record.

Sourcing technology needs—Sourcing will become more focused on building engagement over time. Rather than waiting for students to apply during a narrow recruiting window, HR will need technology that supports long-term candidate engagement, targeted career education, social-network-based recruitment, and repeated moments of brand exposure over time.

Assessing fit technology needs—As entry-level white-collar work is redesigned, assessments will need to keep pace. HR will need scalable ways to evaluate emerging skills, validate credentials, and update the screening process as roles evolve. Through this process, organizations will need to understand how qualified the candidate is today but also how ready they are to grow into work that is rapidly changing.

What could this look like for blue-collar roles?

Success indicators—For blue-collar early talent, safety orientation, reliability, dependability, and practical problem solving will become even more important. Candidates will need ways to show how they respond in real conditions: how they follow safety protocols, notice risks, stay consistent, and ask for help when something does not look right.

Background signals—HR will look less for exact prior experience and more for exposure to similar environments. Adjacent trades, local work programs, vocational schools, associate degree programs, high school partnerships, and hands-on experiences in comparable settings may all become stronger signals that a candidate understands the pace, expectations, and realities of the work.

Sourcing technology needs—Blue-collar sourcing will need to become more continuous and scalable. Technology should help organizations track long-term brand exposure, surface moments when candidates may need education or engagement, and identify when someone is losing momentum so a recruiter can intervene.

Assessing fit technology needs—As higher-fidelity signals become more important, AI interview screening alone will not be enough. Blue-collar hiring will need realistic behavioral assessments, work simulations, and job previews that help both the employer and the candidate assess mutual fit.

The future of early talent development

Once early talent enters the organization, the development experience will need to become more deliberate, visible, and closely connected to changing work expectations. Outdated and static onboarding experiences and generic early talent learning paths will no longer be sufficient. Early talent development will kick off on day one, with continuous moments of practice in safe environments, feedback, peer-learning, coaching, and exposure to opportunities that help early talent build confidence while contributing value sooner.

Early talent strengths organizations can leverage

• Digital fluency and emerging AI skills can help teams rethink how work gets done.
• A strong appetite for continuous learning, upskilling, and experimenting with new tools.
• Fresh perspectives that can challenge legacy processes and reveal better ways of working.

To effectively leverage these strengths, early talent needs safe access to meaningful work, continuous feedback from more senior employees, and learning experiences that are practical enough to feel immediately relevant to their work.

What could this look like for white-collar development?

Work redesign needs—White-collar entry-level roles are facing some of the most immediate disruption from AI. Rather than simply handing early talent the tasks most likely to be automated, organizations can involve them in redesigning processes, testing new ways of working, experimenting with AI-enabled workflows, and contributing to cross-functional projects or rotational programs. Notably, early talent has the lowest levels of expertise needed to effectively evaluate AI output, so bi-directional support and mentorship is critical to ensuring success.

Engagement and development needs—Early talent needs to feel both challenged and supported. White-collar early talent will specifically benefit from reverse mentorship (where mentor and mentee teach each other), safe exposure to higher-value work, and cohort-based networking that helps them build a sense of belonging while learning from peers across the organization.

Employee lifecycle needs—Across the lifecycle, organizations will need to provide more support and transparency. That might include cohort-based preboarding, explicit rotational planning, transparent readiness indicators that show when someone is prepared for the next challenge, and career visibility into matrix movements rather than only vertical promotions.

Development technology needs—To support this experience, HR will need career navigation agents, LMS-enabled preboarding, and technology that makes learning, upskilling, and internal opportunity pathways easier to find. The future experience should make finding development opportunities feel less like a maze and more like a guided journey.

What could this look like for blue-collar development?

Work redesign needs—Blue-collar early talent may experience less immediate disruption from AI than white-collar early talent, but the work will still evolve. New roles may emphasize monitoring robots or agents, identifying risks before they become issues, solving operational problems, and rotating through adjacent teams to understand how work connects across the business.

Engagement and development needs—Development for blue-collar early talent will need to fit the rhythm of the work. That means quick, in-the-moment microlearning, peer learning that happens on or near the work itself, community-building across shifts, and career coaching conversations that help employees see a future beyond the role they start in.

Employee lifecycle needs—Blue-collar early talent will need stronger connection and clearer visibility into what is possible. Shift-based onboarding, peer mentorship, realistic job previews, job simulations, and short “day in the life” videos can help employees understand both their current role and the broader career landscape inside the organization.

Development technology needs—To make this possible, HR will need more advanced simulation-based learning, microlearning tools, and technology that supports shift-based onboarding and peer mentorship. Since blue-collar workers often do not have access to computers, access to mobile-first technology will be critical.

The solution to today’s early talent crisis will not be solved by eliminating early talent roles or completely automating away human interactions. To build a better future for early talent recruiting and development, it will require HR to be more strategic and intentional about how work is changing, what the new indicators of success will be, and how to develop core capabilities from the ground up. If HR starts building this future now, they can transform today’s early talent crisis into one of their strongest differentiators for long-term success.

For more insights, check out this infographic which traces two early talent journeys and the critical shifts organizations must start making today.