There’s a saying in the tech world: when it comes to quantum technology, you can either explain it correctly or make it easy to understand but rarely both. Quantum mechanics, the foundation of quantum technology, is one of the most complex and puzzling areas of science, involving particles that behave in ways that defy logic.
This mysterious field has the potential to revolutionize technology and science. Yet, despite its promise, quantum technology hasn’t captured public attention the way artificial intelligence (AI) has. AI is often seen as the current “superstar” of tech widely used, rapidly growing, and easy to conceptualize compared to the mind-bending nature of quantum systems.
Quantum technology is usually associated with hardware innovations like advanced sensors and powerful quantum computers, whereas AI mostly thrives as software that runs on existing devices. But imagine the possibilities if these two technologies were combined a future where quantum-powered AI could surpass all existing technological limits.
Still, experts like Brian Hopkins, VP and principal analyst at Forrester, caution against jumping to conclusions too quickly. He believes the promise is real but emphasizes that the road ahead is long. “There’s potential, but it’s too early to say for certain,” he explains. Current experiments are encouraging, but they also underline the need for more powerful quantum hardware and groundbreaking research before real-world applications can be achieved.
In terms of economic impact, both fields are incredibly promising. Quantum technology could reach a global market worth nearly $100 billion in the next couple of years, according to McKinsey. Meanwhile, AI’s value is expected to reach into the trillions. But both are also surrounded by hype and warnings of potential bubbles.
“I used to think quantum was the most overhyped technology,” Mr Hopkins laughs, “but AI has definitely taken the lead.” Recent financial analyses suggest that some major quantum companies could see their valuations drop significantly, while concerns about AI’s rapid rise are also growing.

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