Not lovin’ it. That’s the takeaway from McDonald’s recent abandonment of AI for its drive-thru ordering. The fast-food chain’s decision to end its AI experiment speaks to the larger trend of AI not yet being quite ready to solve a host of problems for business.

Artificial intelligence offers the promise of a new and more efficient business environment … just not quite yet.

McDonald’s hoped its AI-driven drive-thru ordering would create more accurate and efficient ordering. However, the tech proved no match for humans in the wild. Background noise, the nuances of human communication and, I imagine, some of the hallucinations AI technology is famous for combined to generate customer-frustrating errors, including one infamous order for more than $250 worth of Chicken McNuggets. While the fast-food chain says it learned from and has plans for future AI implementations, the reality is the Golden Arches sees AI as a future state tool rather than a current operational solution.

Other industries are finding the same.

In an interview with Insurance Journal last November, Insurtech CEO Tim Hardcastle of INSTANDA discussed the challenges of AI transparency, saying the full transformational impact of AI in insurance remained a few years away.

What frustrates consumers — and many business leaders — about AI is really a perception problem. While companies boast about the promise of AI, the truth is we are in a state of ongoing beta testing. Even Google, the defacto leader in online search, is feeling its way through as end-users find significant inaccuracies and false answers to certain queries of its AI search tool.

Where does this leave businesses and the race to AI implementation?

We have been here before. In the late 2000s, businesses raced to adopt social media. “We have to be there” was the mantra, while the reasons for being on these platforms were somewhat opaque. We saw a similar approach during the rise of voice search and voice recognition. And I believe we are in a similar place today with AI.

Absent a new AI tool to promote, some business leaders perceive they are running behind. However, aside from some common and long-standing applications, AI is currently a solution in search of problems.

Don’t misunderstand me. I think AI will eventually change how business is done, radically in fact. Just not yet. We haven’t worked out the bugs. The guardrails aren’t in place. And we haven’t fully mapped the real, day-to-day challenges AI might address, although that has begun.

The perception problem extends to consumers. AI is seen as our flying car, and by God, it’s here and we want it to work.

Neither the technology industry nor others with have messaged appropriately on AI. They haven’t told us this is one big beta test. They haven’t cautioned us to expect errors. Sure, the media calls out egregious examples, but the businesses incorporating AI could also be more transparent. We haven’t set expectations appropriately; we talk about the transformative power of AI and consumers assume we mean now, not in the future.

When the problem is perception, you have to change people’s perceptions.

Business leaders — from fast-food chains and insurance providers to the financial services sector and big box retailers — would benefit tremendously from better AI messaging. Consider talking about what AI can mean for their companies as well as customers, but caution that this is a learning process. Survey your consumers. Offer research. Invite consumers to help you test your new AI tools.

I’m confident a majority of consumers would get it and many would be willing to be part of this great, new digital industrial revolution experiment. But we must call it what it is: an experiment. We must move consumer perceptions of AI as a current silver bullet to a potential, future game-changer.

There’s precedent for this: The Human Genome Project. The public conversation around this 10+ year effort was about possibility, potential and promise. Not a current-state solution to contemporary problems. The messaging, from the researchers, the media and governments, was clear, which set the expectations — and the perceptions — of the public.

We don’t have an AI problem. We have a perception problem, and we have the tools to address it. What we need is for better messaging to meet the moment.