It is a whirlwind moment in the near future of work, driven by rapid advances in AI and automation and the emergence of new types of work content, arrangements, and relationships.
According to the World Economic Forum's Future of Jobs Report (2023):
44% of workers’ core skills will be disrupted in the next five years.
60% of employers expect digital access will redefine their business by 2030.
Nearly a quarter (23%) of jobs will change by 2027.
Work and careers are no longer linear. People change roles, employers, and even industries multiple times across adulthood. At the same time, older adults are increasingly remaining in or re-entering the workforce, reshaping what mid- and late-career development looks like.
Interests and meaning of work now play a central role in these decisions. Workers leave jobs not only for income or logistics but because of misalignment with values, interests, and identity, and these psychological factors also evolve across the lifespan and under new technological realities.
As the world of work is evolving, understanding modern careers requires data science approaches and behavioral evidence that align with how people actually live, work, and adapt today.