Abena Ohenewaa Appiah identifies skills gaps hindering AI adoption

Abena Ohenewaa Appiah, Associate Director at KPMG West Africa, has highlighted significant skills gaps as a primary obstacle preventing businesses from effectively integrating artificial intelligence (AI). According to a recent survey conducted by the firm, these workforce deficiencies are hindering organizations from realizing the full potential of their AI investments. The report underscores a growing disconnect between the rapid pace of technological advancement and the availability of specialized talent within the West African business landscape.

The data reveals a stark reality for regional leadership: 59% of CEOs consider workforce skills shortages a critical challenge for AI integration, while 58% admit the sheer speed of AI development is difficult to manage. Although 45% of surveyed organizations currently employ AI specialists, a broader 64% of respondents reported overall skills shortages that impact their daily operations. These figures suggest that while some specialized hiring is occurring, the general workforce remains under-equipped to handle the systemic changes brought about by automation and machine learning.

Despite concerns regarding automation, the outlook for employment remains optimistic. Appiah noted that 84% of CEOs anticipate their workforce will actually grow as they incorporate AI, rather than shrink. However, this growth requires a radical re-evaluation of existing organizational structures. To bridge the gap, KPMG advocates for a structured approach to training that is tailored specifically to individual employee roles. This involves not just technical training, but a comprehensive redesign of job functions to ensure humans and AI can work collaboratively toward business goals.

Successful AI adoption ultimately depends on active leadership involvement and the cultivation of trust among staff. Appiah emphasized that without a clear roadmap for skills development and execution, the capital invested in AI technology may go to waste. Organizations are urged to move beyond pilot programs and focus on building a resilient workforce through role redesign and transparent communication, ensuring that the transition to an AI-driven economy is both sustainable and productive.