In today’s corporate landscape, the ability to work with artificial intelligence (AI) has shifted from a niche skill to a decisive factor in hiring and retention. Many companies are no longer simply asking whether candidates can adapt to new technology. Instead, they are actively filtering their workforce, seeking out those who can both use and understand AI in meaningful ways. This trend is not limited to tech firms. From finance and healthcare to marketing and logistics, organizations are increasingly shaping their talent pools around AI proficiency. Computer World brought this topic to our attention in their article, “Accenture wants to lay off employees without AI potential.”
The motivation is clear. Businesses view AI as a driver of efficiency and innovation, and employees who know how to harness it are seen as more valuable assets. Candidates who can integrate AI into everyday workflows, whether by automating routine tasks, enhancing research or generating insights from complex data, are being prioritized. Those without such skills risk being left behind, not because their core expertise has diminished, but because they lack the tools to accelerate that expertise in an AI-driven environment.
This filtering also extends to internal training and development. Some companies are investing heavily in reskilling programs to ensure existing staff can stay competitive, while others use AI knowledge as a dividing line between those who advance and those who plateau. The result is a workforce landscape where knowing AI is no longer optional. It is becoming a baseline expectation.
One challenge is that most organizations are still trying to figure out how AI systems make decisions and how to interpret AI and machine learning results. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms.
Melody K. Smith
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.




