Graduation season is often seen as a time to celebrate. Students have endured years of academic work, personal sacrifice, financial stress and, for many, the lingering effects of the pandemic. As the start of each year approaches, I find myself excited for the graduating seniors, and at the same time curious about how they will enter a workforce that feels increasingly uncertain and rapidly changing. In talking with graduating seniors, I hear a mixture of pride, anxietyand excitement about graduating from college along with anxiety about stepping into a professional world that feels unfamiliar and unpredictable.
For the graduating class of 2026, this uncertainty is significant. Now, graduation comes with an important question: Are graduates entering a workforce that is truly ready for them? The answer is complex. Today’s graduates are technologically savvy, adaptable and socially aware. However, they also enter the labor market, which is shaped by them artificial intelligenceautomation, economic volatility and changing employer expectations. The traditional promise that a college degree provides a relatively clear path to stable employment is less certain than it once was.
The latest labor market survey reflects this tension. Employers continue to value college graduates and expect increased hiring, but they also expect graduates to arrive with stronger workplace skills from the start. Communication, professionalism, adaptability, critical thinking and cooperation remain among the most sought-after competencies. Along with this progress in artificial reconnaissance they change the place of work. Many employers anticipate reducing parts of their workforce as automation can replace repetitive tasks.
This creates a difficult paradox for new graduates. AI can create opportunities, but it can also eliminate many of the entry-level tasks that have historically helped young professionals understand how organizations work. Routine tasks such as preparing reports, preparing presentations, organizing data, and supporting administrative work once served as valuable apprenticeship-style learning experiences. Increasingly, these responsibilities are now being automated.
This change is important because careers are not created through employment alone; they are developed through guidance, feedback, observation, problem solving, and exposure to real organizational problems. If too early –career learning opportunities disappear, graduates may struggle to gain the foundational experience needed for long-term advancement. As universities continue to expand pathways to social mobility, the automation of junior-level work may inadvertently weaken the pipeline of future talent and reduce opportunities for young professionals to develop in the workplace. confidence and experience.
As a result, employers value graduates who can work effectively with AI tools. AI literacy is quickly becoming an integral part of career preparation. Graduates don’t need to become computer scientists, but they do need to understand how to use AI responsibly, critically evaluate and recognize its results. biasprotect privacy and use good human judgment. A graduate who only uses AI to complete tasks may eventually be replaced. A graduate who can use AI to ask better questions, solve complex problems, communicate clearly and make ethical decisions remains valuable.
Arguments about whether higher education is preparing students for this transition properly, remains mixed. According to the Cengage Group, some employer surveys emphasize confidence in higher education and the importance of AI-related skills. At the same time, many graduates still report struggling to secure jobs in their field or feeling unprepared for entry-level positions. The issue isn’t whether college matters—it clearly is. The point is whether higher education connects education with work clearly, consistently and sufficiently.
For first-generation and low-income students, concerns are especially high. These students may have less access to professional networks, unpaid internships, and careers your traineror early exposure to workplace expectations. If entry-level opportunities shrink, while employers demand outstanding experience and technical flexibility, the existing disparity could deepen. Therefore, vocational training should be considered not only as a matter of employment, but also as a matter of social mobility.
So what should graduates do? First, they need to think beyond just getting a job and instead focus on building a career. A job is a position; A career is an evolving set of skills, attitudes, experiences, and goals. Graduates should pursue opportunities that provide training, mentoring and growth, even if the first role is not ideal. They should also have a portfolio of internships, presentations, research projects, leadership experiences and examples of work with AI support that show how they think, communicate and solve problems.
Second, graduates must continue to develop “AI-resistant” human skills. No profession is completely AI-proof, but communication, moral reasoning, adaptability, creativityleadership and cultural ability to automate it remains difficult. Careers that require trust, context, and meaningful human interaction are likely to remain valuable.
I recently met a graduate named Jenna at San Francisco State University’s Masouf Health Center. She shared how excited she was to complete her degree in kinesiology and discussed two career paths. One of them was doing physical tracking therapywhile another focused on preparing for the Strength and Conditioning Specialist (CSCS) exam to work with athletes in collegiate or professional sports. Graduates like Jenna, who intentionally prepare for multiple career paths, demonstrate adaptability in today’s workforce. In many ways, they are similar to graduates who entered the job market during the 2008 recession, who also had to navigate economic uncertainty and changing employment conditions.
At the same time, institutions themselves need to rethink how they approach career preparation. Career preparation cannot exist only at the end of the college experience. It should be intentionally integrated throughout the curriculum, from first year to graduation. Faculty and student professionals must work together to help students develop AI literacy, communication skills, teamwork, ethical thinking, and experiential learning opportunities that are directly related to the evolving realities of work.
The graduates of 2026 will not enter the workforce easily. But they enter where higher education is most urgently needed: critical thinkers, ethical leaders, adaptable professionals, and skilled communicators. Graduates should not dominate AI. They must learn to work with it and become more deeply human in the process.
