Beyond NVIDIA and GPUs: The Next AI & Quantum Winners Leading 2026

The artificial intelligence boom has created enormous wealth over the past three years, with NVIDIA NVDA emerging as the undisputed leader of the AI infrastructure revolution. But as the market matures, investors are asking a different question: where will the next wave of AI winners come from?

The answer may lie beyond traditional AI infrastructure.

The momentum behind AI remains strong. According to the Stanford AI Index 2026, global private investment in AI continued to accelerate in 2025, with U.S. investment reaching $285.9 billion, far outpacing Europe ($20.9 billion) and China ($12.4 billion). The data underscores that capital continues to flow aggressively into AI innovation, even as the investment landscape broadens beyond GPUs.

Image Source: Standford University

Hyperscalers including Microsoft MSFT, Amazon, Alphabet, Oracle and Meta are collectively on track to spend more than $700 billion in capital expenditures in 2026, with AI infrastructure accounting for a significant share of those investments, signaling that the AI investment cycle is far from over (S&P Global, May 2026 article). At the same time, governments worldwide are accelerating funding for quantum computing, viewing the technology as a strategic asset for economic competitiveness and national security.

The convergence of these two megatrends is creating an investment opportunity that extends well beyond today's AI leaders.

AI Spending Expanding Across the Technology Stack

The first phase of the AI boom rewarded semiconductor companies, particularly NVIDIA, as enterprises raced to build AI computing capacity. But the investment cycle is now broadening beyond chips.

As stated earlier, major hyperscalers have collectively guided hundreds of billions of dollars in capital expenditures this year, with AI infrastructure accounting for a significant share of those investments. The spending extends beyond GPUs to custom AI accelerators, networking equipment, memory, storage, data centers and power infrastructure needed to support increasingly sophisticated AI models.

Enterprises are moving from pilot projects to production-scale AI deployments, driving demand for AI servers, cloud services, cybersecurity, data management and software platforms. This expanding ecosystem has created opportunities not only for semiconductor companies but also for networking providers, cloud infrastructure vendors and enterprise software firms. Companies such as Broadcom AVGO and Marvell Technology MRVL are gaining from AI networking and custom silicon. Arista Networks is capitalizing on data-center networking upgrades and Palantir is benefiting from growing enterprise AI software adoption.

Analysts currently expect AI-related capital expenditures to remain elevated for years as businesses transition from AI experimentation to production-scale deployment.

Image Source: Standford University

According to the Stanford AI Index 2026, 88% of organizations globally reported using AI in 2025, up from 78% in 2024 and 55% in 2023.

Governments Are Betting Big on Quantum

Government support is becoming a key catalyst for the quantum computing industry. In the United States, the federal government continues to fund quantum research through the National Quantum Initiative, while agencies including the Department of Defense, DARPA and the Department of Energy are awarding contracts for quantum computing, networking and sensing technologies. Europe is advancing commercialization through its Quantum Flagship program, while the U.K. recently expanded its National Quantum Strategy with long-term funding aimed at building a globally competitive quantum industry. China also continues to invest heavily in quantum communications and computing infrastructure.

Pureplays like D-Wave QBTS continue to secure government-backed research collaborations, while Rigetti has benefited from defense and public-sector contracts. As governments prioritize quantum technologies for national security and economic competitiveness, public funding is helping accelerate commercialization alongside private-sector investment.

Unlike many emerging technologies, quantum computing is being supported by both public funding and private capital, providing the industry with multiple long-term growth drivers.

Why AI and Quantum Could Become Natural Partners

Rather than competing, AI and quantum computing are likely to evolve together.

As AI models become larger and computationally more demanding, quantum computers could eventually complement classical systems by solving optimization problems, accelerating complex simulations and enhancing certain machine-learning workloads that remain prohibitively expensive for conventional computing alone.

For investors, that creates an opportunity to participate in two of the most transformative technology trends of the coming decade. AI infrastructure leaders are likely to remain the primary beneficiaries of today's spending boom, while quantum computing companies offer exposure to a nascent industry with significant long-term optionality. Rather than searching for the next NVIDIA, investors may be better served by building exposure across both ecosystems, where the convergence of AI and quantum computing could create the market's next generation of winners.

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This article originally published on Zacks Investment Research (zacks.com).

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