Leaders Must Understand AI's Impact on Organizational Structure
Before implementing AI, leaders must define their organizational goals. Structural changes require careful planning and a focus on evolving skill sets to align with business objectives.
Business leaders need to grasp the significant impact artificial intelligence (AI) is having on workforces and, consequently, organizational structures. Tom McCarty, CEO of OrgChart, a company specializing in org chart automation and workforce planning, observes firsthand how AI is reshaping company frameworks across industries.
The primary recommendation for executives is to clearly define organizational goals before undertaking structural modifications. Often, the drive to implement AI for efficiency can lead to hasty changes that overlook ultimate business objectives, such as revenue growth or market expansion. Deloitte's 2026 Global Human Capital Trends report reinforces this, emphasizing intentional design of roles and workflows when integrating AI.
Leaders are also encouraged to experiment with various scenario plans for how organizational structures might evolve with AI. Common models include a hub-and-spoke setup with AI experts embedded in teams, flatter hierarchies with fewer management layers, or combined HR and IT departments. These proposed structures necessitate thorough analysis and evaluation against the company's specific aims.
Skills are becoming critical building blocks, with LinkedIn indicating that 70 percent of job skills will change by 2030. Organizations must continuously assess which tasks are best suited for humans, which for AI, and where their collaboration is most effective. Org charts should be treated as dynamic documents, adapting to changing skill requirements and technological advancements.