Why single-player AI is holding back the agentic enterprise (www.techradar.com)

A recent Harvard Business Review study found that only 6% of companies fully trust AI agents to autonomously manage core business processes, highlighting a significant gap not in AI capability but in implementation practices. Many organizations deploy AI in a "single-player mode," where tools assist individual users without a connection to broader workflows or shared goals. This fragmented approach leads to increased coordination burdens and hinders trust in AI, ultimately transforming these agents into personal productivity tools rather than catalysts for organizational change. To harness AI's true potential, the study advocates for a shift toward "multi-player mode," where AI agents function as integrated members of teams, participating within shared plans and accountability structures. This approach not only enables AI to handle repetitive tasks efficiently but also preserves valuable human qualities such as strategic judgment and cultural understanding. By investing in the necessary infrastructure—controls, checkpoints, and context—organizations can enhance AI's effectiveness and build a collaborative environment where both humans and AI work synergistically towards shared goals. Achieving this level of integration may become a key competitive advantage in a landscape saturated with similar technological capabilities.