New Gen Z graduates are fluent in AI and ready to join the workforce

By: Mark Williams | July 17, 2023

It’s not a hallucination. The youngest generation entering the workforce may be the most prepared to champion and use generative artificial intelligence at work. Read More

Mark’s Take

The increasing use of AI technologies in the workplace has implications for employees of older generations and their leaders. Gen Z, who are often more familiar with AI, readily embraces these technologies, older employees may need to adapt their skills to effectively work with them. Training and upskilling programs can help them understand and utilize these tools. Leaders play a crucial role in supporting continuous learning opportunities for employees across generations. However, a mindset shift may be necessary for older employees and leaders. Overcoming skepticism or fear related to automation and embracing the potential of AI to enhance productivity is important. Encouraging an open and inclusive organizational culture can facilitate this mindset shift. Mentorship and reverse mentorship can play a valuable role. Older employees can serve as mentors, sharing their industry knowledge, while younger employees can serve as reverse mentors, guiding older employees in the effective use of AI technologies and introducing them to new digital tools and platforms. Job roles and responsibilities will be redesigned as AI technologies automate serve as certain tasks. Leaders should proactively engage with employees to redefine roles and ensure a smooth transition. It is important to recognize that while AI can automate tasks, emotional intelligence and soft skills remain crucial. Leaders can emphasize the value of skills such as empathy, critical thinking, problem-solving, and effective communication, which are essential for building strong relationships and collaborating effectively, regardless of generational differences.

Are you Thinking Strategically?

Leaders need to think strategically about learning agility which is a critical factor in adaptability. This refers to an individual’s ability to quickly acquire new knowledge and skills, adapt to changing circumstances, and apply them effectively. Learning agility allows individuals to embrace AI technologies and proactively seek opportunities to expand their understanding and utilization of these tools. It involves a growth mindset, curiosity, and a willingness to continuously learn and develop. Are you hiring for these qualities? Candidates who possess a growth mindset are more likely to embrace change, learn from failures, and continuously improve their skills. They see challenges as opportunities for growth and are open to exploring new ways of working with AI technologies. Organizations can incorporate these qualities into their job descriptions and interview processes to assess candidates’ adaptability to AI technologies. It is important to provide candidates with opportunities to display their relevant experiences, demonstrate their learning agility, and communicate their willingness to embrace and work effectively with AI. This is the moment.