According to a McKinsey report, the impact of generative AI on Black communities can significantly affect occupations that many Black workers without degrees have pursued, potentially closing a pathway to upward mobility. Gen AI has the potential to automate many entry-level coding positions, disrupting coding boot camps and training that have provided access to high-paying jobs. To mitigate the impact, Black workers should focus on developing non-automatable skills and socio-emotional abilities. Gen AI also has the potential to positively or negatively influence the eight pillars of Black economic mobility, such as healthcare and financial inclusion. By incorporating AI into prenatal care, gen AI can reduce preterm births and improve healthcare outcomes for Black mothers and children. Additionally, Gen AI can enhance access to banking products and services, increasing financial inclusion for Black Americans. Leaders must deploy gen AI with an equity lens, reskill workers, sustain responsible gen AI, and ensure democratized access to the technology.
According to an international survey, four out of five workers report that their employers lack guidelines for using AI, and only half welcome the arrival of AI in their organization. There needs to be more consensus on AI usage to ensure its integration into operations. Concerns include organizations prioritizing their interests over employees’ and the risk of uncertainty. However, 61% of employees hope AI brings transformation to their organization. To address these issues, a comprehensive approach to AI responsibility is recommended, including creating AI principles, clear communication, and a dedicated team for management.
Why do we care?
The McKinsey report underscores a critical concern: the potential of generative AI to disrupt traditional pathways to upward mobility, especially for Black workers in occupations that do not require degrees. This concern is particularly salient in the context of entry-level coding jobs and coding boot camps, which have been avenues for high-paying careers. To mitigate the risks of automation, the emphasis on developing non-automatable skills and socio-emotional abilities is crucial.
This isn’t simply a matter of impact – it’s across organizations too. Organizations prioritizing their interests over those of employees and the associated risks and uncertainties are valid concerns that need to be addressed, or more importantly, offer opportunities to deliver solutions in.