A few years ago, the myth surrounding Artificial Intelligence (AI) was that it would solve all types of manufacturing challenges. Today, the myth has changed.

While many manufacturing leaders now accept that AI is real, the problem is that many organizations still believe AI can compensate for poor processes, disconnected systems, and bad data. It can’t.

In a way, the legend of AI has become a little like the Wizard of Oz. The glistening, golden answer to all the world’s problems. The difference today is that most people no longer question whether the wizard exists. Instead, they assume he can fix everything.

The overarching purpose of any manufacturing company boils down to delivering quality products with the highest level of manufacturing efficiency possible. Fully realizing that objective requires integrated supply chains, factory optimization, and digitization. AI can help with all three. But only after you’ve done the work.

Unfortunately, many organizations are still trying to start their AI journey before completing their digital transformation journey.

AI is only as good as the foundation beneath it

To gain an advantage from AI in a factory environment, you first need to digitize your business and make your data visible.

AI relies on data, a lot of data.

If your infrastructure is dated, siloed, spreadsheet-based, or even manual, AI is unlikely to deliver the results you’re hoping for. More importantly, AI cannot solve deeper issues such as poor process design, disconnected systems, inefficient ways of working, or a workforce that lacks the tools needed to be successful.

The reality is that AI is not a magic solution. It’s a powerful tool that works best on well-defined problems. It requires clear goals, the right expertise, and a solid digital foundation.

Without proper digitalization, data access, and system integration, AI will struggle to provide meaningful value.

The companies winning with AI started before the hype

What has changed over the last few years is that AI is no longer theoretical.

Manufacturers are already using Machine Learning to improve forecasting, optimize production schedules, identify quality issues, and support predictive maintenance initiatives. Generative AI is helping users find information faster and interact with software in more intuitive ways.

The technology is creating real value.

What’s interesting, however, is that the organizations seeing the greatest benefits from AI are often the same organizations that spent years investing in digitization before AI became fashionable.

That shouldn’t come as a surprise.

AI is becoming the ultimate test of digital maturity. Organizations with connected systems and trusted data are moving forward quickly. Organizations without them are discovering that AI has a way of exposing problems they didn’t realize they had.

The myth lives on

The myth of AI hasn’t disappeared. It has simply evolved.

A few years ago, people believed AI would solve everything.

Today, many believe simply having AI means they are transforming.

Neither is true.

The real opportunity is not AI itself. The real opportunity is building the digital foundation that allows AI to become useful in the first place.

And much like Dorothy eventually discovered, the answer was never really in the wizard. The real work was always somewhere else. In manufacturing, that work is digitization, integration, process improvement, and data quality. AI can amplify those efforts, but it cannot replace them.

AI is no longer the future; it’s the present.

The real question is whether your business is actually ready for it.