Companies want employees to help build AI tools they expect them to use. That comes with 2 big challenges.

Walmart is investing heavily in artificial intelligence (AI) to enhance the efficiency of its employees. However, the rollout of these AI tools presents two significant challenges for the retail giant.

Firstly, employees are often required to correct mistakes and train the technology, which can be time-consuming and frustrating. In some instances, these tools fail to account for the nuances involved in simple tasks such as restocking an aisle, which may include cleaning up messes or removing expired items. Additionally, AI-driven features, like Spark, Walmart's delivery service, have inadvertently created additional workload for drivers, prompting them to prioritize certain tasks over others.

Secondly, Walmart's approach of involving employees in the development of AI tools presents its own set of hurdles. While CEO John Furner believes that an "AI-for-all" approach, where employees contribute to shaping the tools they use, will be more effective than a top-down directive, this strategy has its drawbacks. Maintaining employee buy-in is difficult, as employees may be hesitant to provide feedback on AI tools, given the inherent fear and resentment many have towards this technology.

Furthermore, managing the vast amounts of feedback from hundreds of stores across the country is a significant challenge. Each store has unique requirements and client bases, making it difficult to determine which suggestions to consider and which to dismiss. Walmart's VP for associate tools acknowledges the need for flexibility, allowing stores to use tools in the way that best suits their needs. However, navigating the vast array of feedback from such a diverse workforce is a daunting task.