Generation Z expresses greater concern about job automation than older generations due to their familiarity with technology and exposure to AI applications at work, according to a report published by consulting firm Oliver Wyman.

The report, How Generative AI is Transforming Business and Society, highlights the dualities of generative artificial intelligence, emphasizing its potential as well as its risks. It underscores the importance of balancing AI adoption with addressing social needs, such as worker reskilling and ensuring equitable benefits.

According to the report, two out of three Gen Z employees use generative AI weekly, 78% more than baby boomers. This familiarity allows them to better understand AI's disruptive potential, leading to greater concern about possible job loss. Additionally, these young workers fear that productivity gains from AI will not translate into benefits for them, but rather increase their workloads.

Reskilling

Another concern is the urgency of reskilling and the reorganization of the job hierarchy. Generative AI is changing job hierarchies and demanding new skills from workers. The report highlights the urgency of continuous learning and reskilling for both employers and employees. Despite many companies offering reskilling opportunities, most employees find these opportunities insufficient. Strategies are proposed to prepare the workforce of the future, emphasizing the role of continuous education and flexible work options.

In another section, the transformative power of AI to level access to services such as education and healthcare, especially in underserved regions, is highlighted. The need for responsible AI governance to ensure its ethical and beneficial use for all is also emphasized.

Finally, the report highlights users' emotional responses to AI, treating them with the same respect as humans. It indicates the potential of AI to complement human skills rather than replace them, fostering a collaborative future.

Key Principles for Leading AI-Driven Transformation

Foster Inclusivity: Ensure that all employees, regardless of level or function, have access to the reskilling and continuous learning opportunities necessary to adapt to AI.

Ensure Transparency: Be clear and honest about how AI technologies are being used within the organization, especially regarding decisions that affect employees.

Prioritize Human Values: Maintain a human-centered approach in all business practices, ensuring that AI adoption improves the quality of life for employees and not just productivity.

Promote Collaboration: Foster a collaborative work environment where AI is seen as a tool that complements human skills rather than replacing them.
Manage Change with Empathy: Actively listen to employee concerns and provide emotional and practical support to help them adapt to changes brought by AI.