Dubai, UAE: As the supply chain to support quantum hardware stabilizes, many experts anticipate that this emerging technology will be popularized and production-ready by the early 2030s. Some assume that means benefitting from quantum now is out of the question.

Enter quantum AI, a powerful approach involving running machine learning algorithms on existing quantum hardware. In practice, applying quantum AI can look like helping organizations accomplish hours-long tasks in minutes, or rendering problems once considered impossible to realize on existing hardware. It can also look like calibrating models to learn efficiently on less data, bolstering stability over time – and much more.

So, with all its potential benefits, what’s holding back organizations from greater investment?

Data and AI leader SAS surveyed more than 500 global leaders across industries on quantum AI. In the first installment of the survey in 2025, high cost of implementation ranked as the number one barrier to adoption, followed by lack of understanding or knowledge. That’s changed in 2026.

SAS looks at classical and quantum computing as a spectrum: with proven classical computing on one end, and experimental and exponentially more powerful quantum computing on the other. Many industry and business problems fall somewhere in the middle, with a hybrid approach splitting workloads: quantum processing and classical processing each doing what they do best.

“Organizations of all sizes are eager to develop intellectual property – their original, patented approach to quantum AI – so they’ll be ready as the technology comes of age,” said Bill Wisotsky, Principal Quantum Architect at SAS. “Despite continued strong interest, leaders are understandably proceeding with caution, and they don’t want to go all-in on expensive quantum investments they fear may not result in worthwhile use cases and solved problems.

“SAS is working to level the playing field, establishing real-world use cases for today, and ensuring that customers can get a piece of the quantum pie tomorrow.”

“If you’re ready to explore quantum AI, we’re ready to work with you,” added Wisotsky. “Bring your ideas, and our experts will help determine if and how quantum AI can be incorporated in ways that are valuable, safe and sensible.”