For years, the conversation about artificial intelligence has centered on one question: what will happen to our jobs? Governments, business leaders, and economists have tried to estimate which occupations will disappear, which new ones will emerge, and what skills people will need to remain competitive. The World Economic Forum has helped shape much of that discussion through its Future of Jobs research. More recently, though, articles published on the Forum’s platform have started asking a more personal question. If AI changes the role work plays in people’s lives, what happens to purpose, identity, dignity, and belonging? That shift moves the conversation beyond employment forecasts, but it also leaves leaders with a harder question underneath it: where can people find purpose when the work that once defined them no longer looks the same?
How The World Economic Forum Expanded The AI And Purpose Conversation
The Forum’s Future of Jobs Report 2025, based on input from more than 1,000 employers representing over 14 million workers, projects a net gain of 78 million jobs by 2030 while estimating that nearly 40% of workers’ core skills will change during that period. Eighty-five percent of those employers say they plan to prioritize upskilling in response. That research explains why reskilling has dominated the response to AI. It says far less about what those changes may do to people’s sense of who they are.
That’s the gap several contributed articles on the Forum’s platform have started to address, arguing that work provides belonging and meaning alongside income, and that the conversation should expand from protecting jobs to sustaining livelihoods, a term one recent article defines as including purpose, identity, dignity, and belonging, not simply a paycheck. These are contributed viewpoints rather than official World Economic Forum research conclusions, but their appearance on the platform reflects a real shift, since the conversation is no longer limited to what AI will do to work. It is increasingly asking what AI will mean for the people doing it. What that broader discussion still doesn’t answer is where purpose actually comes from once work begins to change.
Why The World Economic Forum’s AI And Purpose Discussion Needs Another Step
The move from jobs to livelihoods is useful because people experience work as far more than an economic transaction. It creates daily structure, professional identity, relationships, confidence, and a sense of contribution, and losing those things can happen even when someone never loses a job. An experienced professional can keep the same title for years while AI gradually assumes the very tasks that once demonstrated expertise, so the position survives even as the activities that once made the work feel meaningful begin to disappear. Someone may still answer the question “What do you do?” the same way while privately wondering whether that answer still reflects who they are.
Organizations have responded by teaching people how to use AI. That’s necessary, but technical ability doesn’t answer the harder question: if the work that gave me identity changes, what replaces it? Telling people to “find their purpose” doesn’t help much either, since it treats purpose like a single answer hidden somewhere inside a person, waiting to be discovered, rather than something that develops over time.
How The World Economic Forum’s AI And Purpose Question Connects To Four Paths
My research identified four recurring paths through which people build meaningful lives: exploration, connection, creation, and influence. Across the people I studied, these four themes appeared repeatedly regardless of career, industry, or life stage, making them more enduring than purpose tied to any single job or title. Careers evolve, industries change, and technology continues advancing, but these four paths remain rooted in how people create meaning rather than in the positions they hold.
These aren’t personality types that place someone into one permanent category. A person may lean heavily on creation while building a company, connection while caring for family, exploration during a career transition, and influence while mentoring younger colleagues, often moving among all four throughout their lives.
- Exploration is purpose through curiosity, learning, and discovery, and it becomes especially valuable as AI shortens the shelf life of expertise. Someone whose identity rests on “I already know this” has more to lose than someone whose identity rests on “I keep learning.”
- Connection is purpose through relationships, mentoring, belonging, and helping others succeed. As AI changes the nature of work, those human relationships become even more valuable because trust, empathy, and shared experience still grow through people rather than technology.
- Creation is purpose through building or improving something that did not exist before. AI can generate remarkable output in seconds, but people continue finding meaning in choosing the problem, exercising judgment, accepting responsibility, and seeing themselves in the final result.
- Influence is purpose through the effect we have on other people. Leadership, coaching, teaching, volunteering, parenting, and mentoring continue creating meaning regardless of changing job descriptions, and a title can disappear from an organizational chart without erasing what someone has contributed to another person’s growth.
What The World Economic Forum’s AI And Purpose Debate Requires From Leaders
Most AI implementation plans answer technical questions, while employees are asking human ones: will my experience still matter, how do I build expertise if AI performs the work that once taught it, what will distinguish my contribution? Those questions influence engagement, innovation, resilience, retention, and well-being as much as any new technology platform.
Leaders cannot give employees purpose, but they can create conditions where purpose has room to grow. That means giving people meaningful ownership instead of asking them to simply approve AI-generated work, and it means creating opportunities to mentor others, solve original problems, continue learning, and contribute ideas that require judgment rather than repetition, which may become one of leadership’s most important responsibilities in an AI economy.
What The World Economic Forum Has Elevated And Left Unanswered
The World Economic Forum has elevated an important conversation by expanding the discussion beyond jobs and toward identity, belonging, and purpose. What its research and the broader discussion on its platform still leave unanswered is where people should actually look for purpose when employment no longer provides as much of it. My research points to four enduring places: exploration, connection, creation, and influence. Across the people I studied, those themes appeared repeatedly regardless of career, industry, or stage of life, suggesting purpose may be more stable than employment itself. As AI continues changing the nature of work, helping people understand where purpose grows may become just as important as helping them understand how AI works.
