The future of work is here, and it's bringing with it a new set of challenges for young professionals. As artificial intelligence (AI) continues to automate routine tasks, the traditional learning curve is shifting, and the question on everyone's mind is: Will AI make it harder for young workers to learn on the job?
In my opinion, the answer is a nuanced one. While AI may indeed reduce the amount of repetitive practice work available to junior employees, it also presents an opportunity for young workers to develop new skills and expertise. The key is to understand how to leverage AI as a tool for learning, rather than seeing it as a threat.
One thing that immediately stands out is the changing nature of entry-level roles. The traditional entry-level position, where juniors primarily perform structured, low-complexity tasks, is shrinking. Instead, there are now more roles where even junior staff are expected to contribute meaningfully to outcomes, often alongside AI tools. This shift means that young workers need to be prepared to evaluate, question, and improve what AI produces, rather than simply performing repetitive tasks.
What makes this particularly fascinating is the potential for AI to accelerate learning and development. Organisations that integrate AI thoughtfully can create new opportunities for young workers to develop higher-value skills. By automating routine and administrative tasks, younger workers can spend more time on tasks that require critical thinking, creativity, and problem-solving. This shift in focus can help young professionals build expertise by working on varied problems, understanding trade-offs, and making sense of ambiguous information.
However, it's important to note that simply using AI as a shortcut to avoid learning may not be enough. As Zachary Wang, co-founder of AI start-up Level3AI, points out, young workers who use AI without understanding why it produces what it produces are building fluency, not expertise. Fluency means you can operate the tool, while expertise means you can tell when the tool is wrong. Over time, this can create a gap between appearing knowledgeable and developing genuine expertise, which may become more consequential as a person's career progresses.
In my view, the key to success in the age of AI is to embrace the opportunity to learn and develop new skills. Young workers should seek out organisations that are deliberate about how AI is incorporated into workflows, as these companies are more likely to provide accelerated opportunities for learning. By focusing on interpretation, deeper analysis, decision-making, and context, young professionals can build expertise and stay ahead in their careers.
In conclusion, while AI may present challenges for young workers, it also presents an opportunity to develop new skills and expertise. By embracing the changing nature of work and seeking out organisations that are thoughtful about AI integration, young professionals can position themselves for success in the future of work.
