What if the greatest barrier to workforce readiness wasn’t a lack of technical skills, but the absence of systems that help young people adapt in an ever-changing world? As AI continues to reshape industries and traditional career pathways, the future of workforce readiness may depend less on what young people know and more on how effectively they collaborate, communicate, regulate stress, and navigate uncertainty. Emotional intelligence, mental health, and relationship-building are increasingly emerging not only as “soft skills,” but as essential ones.

On June 10, NationSwell convened a group of cross-sector leaders for a virtual roundtable that moved beyond compliance-driven approaches to career readiness, instead examining how relationship-centered environments, identity safety, and well-being practices hold the potential to strengthen resilience, deepen engagement, and improve long-term workforce outcomes. Some of the most salient takeaways from the discussion appear below:

Key takeaways

Invest in early career opportunities as a mental health and workforce strategy. Employment can serve as one of the most effective antidotes for mental health challenges, addressing immediate needs, like a paycheck and a support network, and unlocking long-term potential. Organizations should invest in internships, cross-departmental learning, and other early career opportunities as a means to support young people’s wellbeing and build a stronger workforce pipeline.

Reframe “soft skills” – especially relationship-building – as critical and durable work competencies. As AI takes on more knowledge-based tasks, human connection becomes an increasingly valuable differentiator. Mentorship, peer coaching, cross-functional apprenticeships, and volunteer opportunities can strengthen relationships, improve mental wellbeing, and support workforce development. Participants also emphasized the unique “win-win-win” of employee volunteering and mentoring through nonprofits, which can generate benefits for individuals, communities, and employers altogether.

Embed emotional intelligence across workflows, trainings, and culture. As young people increasingly turn to AI for mental health and career support, they miss opportunities to build socio-emotional skills, like self awareness, social awareness, and relationship management. Organizations can integrate emotional intelligence into everyday work and interactions (especially feedback processes) to strengthen human collaboration, trust, and help-seeking. Dedicated culture roles – such as culture coaches, trauma-informed specialists, and wellness buddies – can then amplify this programming.

Design employee engagement programs that help young people navigate stress, uncertainty, and change. Young people face a number of stressors – from climate anxiety and loneliness to social expectations, relationship violence, and rapid technological change – leaving them feeling overwhelmed and powerless. Leaders emphasized that civic engagement, community participation, and knowledge can help transform this anxiety into agency by giving young people a greater sense of purpose or efficacy over their environment. 

Tailor workforce training to meet educators and managers where they are. Teachers and managers, especially those operating in under-resourced systems, face their own bandwidth constraints and mental health challenges related to AI use and integration. Effective training requires understanding the different realities, priorities, and constraints across sectors, and co-developing tools and resources that range from low-lift, integrable touchpoints to deeper, long-term engagements.

Establish AI guardrails that help young people use AI safely and effectively. With AI regulation, ethical standards, and safeguards still evolving, many young people feel a general anxiety over the technology and many organizations lack clear guardrails for how to best support youth mental health and workforce development. As guardrails standardize, organizations can continue to promote basic AI literacy and responsible, ongoing learning about AI’s impacts and risks.