How readiness debt is affecting organizations

Executives are obsessed with questions like how fast they can deploy AI and which tools to use. However, they are missing the bigger picture – how quickly can people adapt? A person or organization can purchase an AI solution quickly, but people need time to adjust. AI tools are changing rapidly, and workflows can change overnight, causing tasks to shift from human-led to human-AI collaboration or disappear entirely.

People need time to understand changes, practice, develop judgment, and know when to trust technology or challenge it. Until organizations can determine if people are truly ready, the impact of AI may not be fully realized.

Readiness debt is emerging as a new challenge. It is similar to technical debt in software development – shortcuts are taken, and important work is deferred. In the workforce, this shows up when an organization changes a workflow without adequately preparing the people performing it. This adds readiness debt, which can lead to inconsistent execution, workarounds, poor customer satisfaction, and declining sales.

Leaders must ensure that employees are truly prepared for new AI-driven tasks, not just checking off training courses.

AI is constantly redefining jobs. A role that was previously human-led may now be a collaboration between human and AI, or it may have disappeared entirely. As AI advances, the boundaries between human and machine work are becoming increasingly fluid. This means that organizations must continuously redefine what success looks like in the workforce.

While organizations are great at measuring technology performance, they are often poor at measuring human capability. Traditional metrics like uptime, latency, adoption, and ROI do not capture the full picture of readiness. As AI becomes more prevalent, organizations need to focus on workforce readiness as an infrastructure requirement, not just a one-time professional development opportunity.

By doing so, they will be better equipped to adapt to the rapid pace of technology change and maintain low readiness debt. Ultimately, organizations that can successfully balance AI adoption with workforce readiness will be the ones that thrive in the AI era.