How AI is Making It Harder for Youth to Find Work

Since graduating high school in Metro Vancouver a year and a half ago, 20-year-old Omar Younis has struggled to secure full-time employment. Despite applying to various sectors such as construction, customer service, and sales, he has faced consistent rejection. This personal experience reflects a growing trend where young job seekers are finding it increasingly difficult to enter the workforce. Experts suggest that advancements in artificial intelligence (AI) and automation are partly responsible for this shift.

AI technologies have been rapidly integrated into many industries, streamlining operations and reducing the need for entry-level positions traditionally filled by young workers. For example, automated customer service systems and AI-powered sales tools can handle tasks that once required human employees. In construction, AI-driven machinery and project management software reduce the demand for manual labor and administrative roles. These changes mean fewer opportunities for youth to gain initial work experience, which is crucial for career development.

Employers are also using AI in their hiring processes, employing algorithms to screen resumes and conduct preliminary interviews. While this can increase efficiency, it may inadvertently disadvantage young applicants who lack extensive work history or keywords that AI systems prioritize. Consequently, many young candidates find their applications overlooked before a human even reviews them. This creates an additional barrier to employment for youth, who already face stiff competition in the job market.

The implications of AI’s impact on youth employment extend beyond individual job seekers. A lack of early work experience can hinder young people’s long-term career prospects and economic independence. It may also exacerbate social inequalities, as those with access to resources and networks can better navigate the evolving job landscape. Policymakers and educators are urged to develop strategies that prepare youth for an AI-driven economy, such as enhancing digital literacy, promoting skills that complement AI, and creating new pathways to employment.

Some initiatives focus on reskilling and upskilling young workers to adapt to changing job requirements. Programs that teach coding, data analysis, and AI management aim to equip youth with competencies that are in demand. Additionally, fostering creativity, critical thinking, and interpersonal skills can help young people thrive alongside AI technologies rather than compete against them. Collaboration between governments, educational institutions, and industry stakeholders is essential to ensure youth are not left behind.

In summary, while AI offers significant benefits to businesses and consumers, it also presents challenges for young job seekers. The reduction of traditional entry-level roles and the use of AI in hiring processes have made it harder for youth like Omar Younis to find work. Addressing these challenges requires a multifaceted approach that includes education reform, targeted training programs, and inclusive hiring practices. By doing so, society can better support young people in successfully transitioning into the workforce in an AI-influenced world.