July 9, 2025

Tech Strategists Highlight Overlooked AI Investment Plays Amid Market Shift

Illustration of a brain-shaped AI chip connected to servers, a quantum network cube, Ethereum coin, padlock, and atomic symbol on a beige background.

As AI continues to redefine global markets, a new wave of under-the-radar investment opportunities is catching the eye of tech strategists—opportunities that go beyond the traditional mega-cap names like Nvidia and Microsoft. From Ethereum-linked crypto miners pivoting into AI data centers to emerging quantum-security startups, a more nuanced frontier of AI infrastructure is quietly gaining traction.

While the broader AI narrative has dominated headlines and fueled trillion-dollar valuations, seasoned analysts are now urging investors to look deeper into the infrastructure and security backbones of AI development. These hidden plays may offer asymmetric upside potential in a market increasingly defined by consolidation at the top and fierce competition across sectors.


The Next Layer of AI Infrastructure

At the core of this investment thesis lies the convergence of two disruptive technologies: AI and blockchain. Ethereum-linked crypto miners—once facing obsolescence due to the Ethereum network’s transition to proof-of-stake—are reimagining their business models by repurposing their high-performance GPU farms for AI training and inferencing workloads.

According to a report from The Motley Fool, these miners already possess the hardware, cooling infrastructure, and operational expertise to run large-scale compute operations. This positions them as nimble contenders in the race to provide affordable AI computing power—an increasingly scarce resource dominated by hyperscalers like Amazon Web Services and Google Cloud.

“GPU-rich crypto miners could become unexpected beneficiaries of the AI boom,” noted an analyst at Fool.com. “With the right pivot, they could transform into low-cost alternatives to traditional data centers, particularly for decentralized AI applications.”


Quantum Security: The Quiet Corner of AI Safety

Meanwhile, quantum-resistant cybersecurity firms are emerging as a crucial piece of the AI puzzle. As AI models become more sophisticated and integrated into sensitive sectors like healthcare, finance, and defense, the risk of model inversion, data leakage, and quantum-level hacks becomes a pressing concern.

SeekingAlpha highlights that venture capital is increasingly flowing into startups specializing in post-quantum encryption—cryptographic methods designed to withstand attacks from quantum computers. The U.S. National Institute of Standards and Technology (NIST) recently approved four quantum-resistant algorithms for federal use, reinforcing the legitimacy of this sector.

One such company, PQShield, has been gaining momentum among institutional investors due to its early integration with enterprise AI platforms. According to McKinsey, the quantum cybersecurity market is expected to exceed $10 billion by 2030, driven largely by AI adoption in mission-critical infrastructure.


Why This Matters for Investors

Big Tech stocks may have delivered outsized returns over the past year, but valuations are starting to price in perfection. As JPMorgan’s latest equity note warns, “The AI trade is no longer early. Marginal gains will come from digging into secondary and tertiary beneficiaries of the AI revolution.”

For investors, this means recalibrating their AI exposure beyond large-cap tech and toward companies offering AI-enabling services, infrastructure, and protection.

The underappreciated nature of these plays also means they may still be available at reasonable valuations—especially compared to the 30x to 40x multiples seen in mainstream AI names.


Future Trends to Watch

  1. Repurposed Crypto Infrastructure: As mining becomes less viable in certain chains, more operators are likely to shift toward AI workloads. This could boost demand for GPU refurbishing, edge computing, and localized AI hosting services.
  2. Quantum-Resistant Encryption: Regulatory mandates in the U.S. and EU are likely to require quantum-safe protocols for AI models handling sensitive data. This positions early-stage quantum security firms for exponential growth.
  3. Decentralized AI Platforms: AI compute decentralization—powered by blockchain—may become a major trend, allowing investors to tap into distributed infrastructure that mirrors early cloud adoption patterns.

Key Investment Insight

Nimble, AI-adjacent plays—such as GPU-rich crypto miners turning into low-cost AI compute providers and post-quantum encryption startups—present a compelling growth story that complements existing Big Tech holdings. These sectors may offer greater upside with lower saturation, particularly for early movers with a high risk tolerance and long-term view.

Investors should monitor public companies with exposure to both crypto infrastructure and AI scaling (e.g., Hive Digital Technologies, Iris Energy), as well as private cybersecurity firms advancing quantum-safe protocols.


In a market increasingly dominated by narratives and hype, the real edge lies in identifying overlooked value before the crowd catches on. For daily insights into evolving investment trends and actionable market intelligence, stay informed with MoneyNews.Today—your trusted source for tomorrow’s financial headlines.