Gartner reports that global artificial intelligence spending is projected to reach $2.52 trillion in 2026, driven heavily by hardware vendors, cloud capacity, and data center infrastructure. However, the primary challenge remains the readiness of human capital and organizational processes, highlighting a significant gap between acquiring technology and altering institutional operations.
Adoption is no longer the constraint. Recent research by McKinsey found that 70 percent of employees say they feel personally prepared to work with AI, while only 27 percent of leaders believe their organizations are ready to make the shifts that would help that work pay off. Employees are adapting faster than the institutions around them, and executives often read that gap as a training problem rather than a structural one.
