There’s a consistent pattern in failed or underperforming AI initiatives. Business leaders tend to frame AI through the lens of what they see as the most urgent problems—bottlenecks in productivity, rising costs, slow decision-making, or inefficiencies in workflows. This focus on urgent and immediate challenges may be why AI initiatives start fast and generate excitement, but ultimately fail to transform organizations in meaningful or lasting ways. To avoid this “urgency trap,” leaders can take three actions to avoid employing AI as a quick fix and instead use it as a tool for long-term value creation: 1) prioritize clarity of purpose, 2) resist the urgency bias, and 3) focus on advancing the company’s vision.

Select the right problems to solve, identify clear owners, put guardrails in place and plan with ongoing operations in mind.

There’s a consistent pattern in failed or underperforming AI initiatives. Business leaders tend to frame AI through the lens of what they see as the most urgent…