Alphabet, Microsoft, and Nvidia positioned to benefit from an upcoming AI-quantum computing supercycle.

All eyes are currently on the artificial intelligence (AI) buildout, and for good reason. AI is gradually becoming more mainstream, and several businesses are already adopting an AI-first approach to developing new products and optimizing business practices. However, a new technology on the horizon—quantum computing—could reshape AI’s next phase of usefulness.

Cause: Quantum computing as a potential catalyst for AI

Quantum computing may have seemed far-fetched, but it is moving closer to reality. The article suggests its effects could be felt by 2030, with the potential to propel AI into a new stage of usefulness.

Development: Three companies positioned for both AI and quantum

Alphabet

The first stock highlighted is Alphabet. The article says Alphabet has become a leader in the generative AI arena after integrating AI into Google Search, positioning it as a top way many people interact with AI daily.

It also describes Alphabet as a quantum computing leader, citing “huge breakthroughs,” including an announcement that it believes quantum computing could break through cryptocurrency wallet passwords in minutes by 2029. The article frames this as evidence that relevant quantum progress is closer than expected.

Microsoft

The second stock is Microsoft. The article characterizes Microsoft as developing in-house quantum capabilities similar to Alphabet, with the goal of renting out the technology through its cloud computing division, Azure.

It also notes that Microsoft is trading differently from the other picks: Microsoft’s stock is down over 30% from its all-time high, and it provides the following market figures: Current Price $411.37 and Microsoft’s Today’s Change (4.64%) $18.26. The article presents this as creating an opportunity while still keeping Microsoft positioned across AI and quantum.

Nvidia

The third stock is Nvidia, which the article acknowledges may seem counterintuitive given Nvidia’s reliance on GPUs. It raises the concern that if quantum computing becomes dominant in high-demand computing and AI, it could reduce the need for GPUs.

Instead, the article says Nvidia expects useful quantum computing to arrive and be used in a hybrid environment—deployed alongside thousands of GPUs in existing infrastructure. To support that approach, it highlights Nvidia’s NVQLink, described as enabling quantum computers to plug into existing computing networks. The article argues this could help keep Nvidia’s product ecosystem central even when quantum assistance is involved.

Impact: Potential “supercycle” across traditional and quantum computing

Overall, the article’s thesis is that these companies are positioned to benefit from a traditional AI buildout and, potentially later, from a quantum buildout. It concludes that Alphabet and Microsoft are positioned through their roles in AI and quantum development, while Nvidia is positioned through a hybrid model that integrates quantum computing with GPU-based infrastructure.