Despite heavy investments in AI technology, many companies face challenges as their employees struggle to effectively utilize AI to generate meaningful business outcomes. While AI spending is projected to reach $2.59 trillion this year, with many workers feeling confident in using AI tools, over half admit to spending more time struggling with AI tasks than doing them manually. Managers increase pressure by demanding higher output without extended time, leading some employees to overstate their AI skills and suffer burnout. The job market also favors those with AI proficiency, with many companies offering salary premiums for AI skills and valuing AI training over traditional degrees like MBAs.
However, the disconnect between leadership and employees hampers progress. Many senior leaders and managers themselves lack a deep understanding of AI, yet push AI adoption onto their teams. Support systems are often inadequate, with IT and training departments under-resourced, and employees receiving conflicting guidance. Employees prefer in-tool, contextual guidance over traditional training formats. For AI to truly benefit business, companies must go beyond adoption and focus on measuring AI usage, pinpointing inefficiencies, and embedding seamless AI support into workflows. Continuous feedback loops between managers and teams on AI’s business impact will be critical to unlocking real value.
