The artificial intelligence (AI) investment space is facing a fresh reality check. Anthropic CEO Dario Amodei recently called for a slower pace of frontier AI development to allow safety measures to catch up, while OpenAI CEO Sam Altman and other technology leaders have also raised concerns about the risks of advancing AI too quickly. The comments triggered a selloff in AI-related stocks, with NVIDIA shares falling 3.4% on Sept. 14.
The developments have intensified questions about the pace and economics of the massive AI infrastructure buildout. According to A.I. Capital Advisory report (July 2026 update), Amazon AMZN, Alphabet, Meta META, Microsoft, and Oracle will spend $775-800 billion on AI infrastructure collectively in 2026. While the recent market reaction does not indicate that AI demand has structurally weakened, it does highlight the need for investors to reassess how long the current pace of AI investment can be sustained and where the next phase of advanced computing, including quantum computing, could emerge.
Against this backdrop, we have picked two stocks, NVIDIA NVDA and Hewlett Packard HPE, with strong exposure to the convergence of AI, high-performance computing and quantum technologies, positioning them to benefit from the next phase of advanced computing.
AI-Quantum Convergence Offers a Longer-Term Angle
The debate is significant for investors because the next phase of advanced computing is unlikely to depend on a single technology. AI workloads increasingly require massive computing, networking and energy infrastructure, while quantum computing is developing toward specialized applications that conventional systems may struggle to address efficiently.
Quantum computers are also not expected to replace GPUs, CPUs or conventional data centers. Instead, emerging architectures are designed to combine quantum processors with classical computing, High-Performance Computing (HPC), networking and AI. This hybrid approach could become increasingly relevant as quantum technology moves from research toward commercial applications.
That creates a potentially important investment angle for the remainder of 2026 and beyond. If AI infrastructure spending moderates from its current extraordinary pace, companies positioned across multiple advanced-computing technologies may have an advantage over businesses dependent on a single AI spending cycle. At the same time, investors should recognize that practical, large-scale quantum commercialization remains a longer-term opportunity rather than an immediate replacement for AI.
