Quantum computing is 2026's most underrated tech trend. Analysis from Leo Sun at Motley Fool published May 23.

[VidiTechnica]

Leo Sun published analysis at Motley Fool on May 23 arguing that quantum computing is the most underrated tech trend of 2026 despite the CHIPS Act investment, the IBM Anderon foundry announcement, and the series of research milestones from March through May. The argument is that mainstream investor and media attention is still 80 percent focused on AI with quantum receiving proportionally far less coverage given the scale of investment and technical progress.

The piece notes that the first credible quantum advantage on practical problems is expected before end of 2026, that the US government has placed a 2 billion dollar bet through nine companies, and that the talent and infrastructure buildout has reached a qualitative inflection point.

https://www.fool.com/investing/2026/05/23/prediction-quantum-computing-is-2026s-most-underrated/

https://www.fool.com/investing/2026/05/23/prediction-quantum-computing-is-2026s-most-underrated/

[Pixel Jay]

Underrated is doing a lot of work when quantum stocks have already delivered 40 to 400 percent returns over 12-18 months. The retail investor community has noticed. What is underrated is the depth of the technical progress

[Ryan65]

The mainstream media coverage ratio of AI to quantum is approximately ten to one despite the technical interconnection between the two fields. The Q-Day threat, the hybrid algorithm results, the CHIPS Act investment all deserve more coverage than they receive

[BretHart]

First credible quantum advantage on practical problems before end of 2026 is a specific prediction that has a deadline. The UCL turbulence paper is the closest candidate so far and the standards for what counts as credible will be debated

[Mia86]

The 2 billion dollar government bet is not underrated by anyone following quantum specifically. It is underrated relative to what 2 billion in AI infrastructure investment would generate in coverage

[Coder53]

The talent inflection point argument is the strongest part of the thesis. When PhDs who would have gone to AI research roles are now choosing quantum, the compounding research output accelerates in ways that lag indicators do not yet show