Five myths about adopting AI and technology for your supply chain

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Five myths about adopting AI and technology for your supply chain

The biggest hurdle for adopting new technologies, especially at an enterprise level, isn’t finding one that works with that company’s specific workflow. It isn’t even finding the funds in the budget. Rather, companies often fail to move beyond the pilot phase because they cannot foster widespread adoption. 

Right now, we’re seeing this cycle with AI solutions. Companies understand the power and value of AI. They invest in platforms. But only 5% of enterprise companies report successfully deploying custom AI solutions. At first glance, it’s easy to assume employees don’t find the technology valuable. Then you consider that 90% of employees regularly use LLMs, and the theory falls apart. 

So, what is it about AI technology that is difficult to incorporate into enterprise operations? And can anything be done to improve implementation and adoption? We’re answering those questions while debunking the five most popular myths about adopting AI for the supply chain. 

1. Companies need an AI expert to succeed.

In the Supply Chain Compass: Spotlight on AI and Technology, supply chain executives listed “insufficient skills among workforce to use and develop AI” as the main challenge to implementing AI in their organization. 
There is a common belief that to get the most value, employees need a deep understanding of how AI technology works. Of course, familiarity helps. That isn’t what prevents companies from moving past the pilot stage, however. Purpose-built technology accounts for all skill levels. 

More often, the understanding that helps employees is how the tool will help them and which of their workflows will be improved by using AI. Help employees understand why their daily processes are being updated, and they’ll learn the necessary skills to make it happen. 
 

What do experts really think about technology and AI?

Discover what supply chain leaders are excited about, what concerns them and what their plans are for implementing powerful AI-driven solutions in the 2025 Supply Chain Compass report. 

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