Many managers are adopting AI tools without understanding how they work, risking poor decisions and wasted spending

A trend is emerging where business leaders and managers are integrating AI into their workflows and decision-making—but often based on marketing hype rather than hands-on experience or technical understanding of what these tools can actually do.

Without knowing how AI systems work, managers may overestimate their reliability (treating AI outputs as fact when they can contain errors), misuse them on tasks where they're ineffective, or buy expensive AI products they don't need—leading to wasted budgets and strategic missteps.

Teams reporting to AI-reliant managers face a new risk: decisions get made based on flawed AI outputs nobody questioned, projects pivot based on AI recommendations nobody validated, and workers get blamed when AI-driven strategies fail. For job seekers and employees, this means learning to spot and push back on bad AI decisions is becoming a workplace survival skill.