This strategy seeks to capture the technologies that will define the dominant paradigms of the next decade, constructing a high-risk, high-return portfolio centered on areas exhibiting true exponential growth potential. The portfolio maintains a highly concentrated focus on quantum computing, data center infrastructure, and artificial intelligence—fields united by their pronounced "winner-takes-all" market dynamics and potential for decisive, long-term dominance.
In an environment of explosive demand for artificial intelligence and high-performance computing, traditional general-purpose architectures are rapidly approaching their physical and economic limits. We prioritize companies actively developing AI-native or quantum-ready data center infrastructure. By evaluating their leadership in critical areas such as liquid cooling systems, application-specific integrated circuit (ASIC) integration, and heterogeneous computing orchestration layers, we identify the infrastructure leaders positioned to set the standards for the next era of computational power.
Our focus extends beyond foundational models to the technology platforms capable of transforming AI into autonomous "action agents." This strategy targets companies with robust cross-industry automation orchestration capabilities that support independent task planning and execution. Key indicators include the scale of active agents within their ecosystems and the depth to which their solutions integrate into and assume control of clients’ core business processes—metrics that help capture the non-linear valuation expansion driven by powerful platform effects.
As quantum computing transitions from laboratory research toward commercial deployment, current cryptographic systems and computational frameworks face fundamental disruption. We seek pioneering companies that hold core intellectual property in post-quantum cryptography (PQC) algorithms and quantum error correction techniques. These firms not only benefit from exceptionally high technological barriers to entry but also control the critical "security access layer" required for future digital infrastructure, positioning them to command sustained excess returns over the long term.
The fundamental rationale for investing in information technology services lies in their proven "implementation strength." While SaaS providers deliver powerful tools, large enterprises typically lack the internal expertise to integrate these complex solutions effectively into legacy systems and workflows.
Risk resilience: SaaS businesses often contend with intense churn pressure and elevated customer acquisition costs, whereas leading IT service providers secure long-duration, deeply embedded strategic contracts characterized by extremely high switching costs.
Customization premium: In the era of AI and quantum computing, one-size-fits-all software increasingly fails to address industry-specific requirements. IT service firms serve as indispensable intermediaries, delivering tailored solutions that convert the "last mile" of technology adoption into high-margin consulting and implementation revenue.
Artificial intelligence is profoundly disruptive to the IT services industry, transforming what were once cost centers into powerful profit engines:
Delivery efficiency revolution: AI-driven automation of coding, testing, and deployment processes dramatically compresses project timelines, enabling service providers to accept significantly more engagements without proportional headcount growth and thereby materially expanding profit margins.
Reshaping of consulting demand: Enterprise inquiries increasingly center on "how to deploy AI effectively" rather than merely "which AI tools to purchase." Leading IT service providers are evolving into trusted "AI architects" for their clients, commanding higher-frequency engagements and premium pricing through expertise in strategic planning, data governance, and model integration.
Business model evolution: The industry is shifting away from traditional "per-head" or time-and-materials billing toward outcome- or value-based pricing models, creating substantial non-linear growth opportunities for firms with best-in-class AI platform capabilities.
In the 2026 technology landscape, the most critical metrics for evaluating companies in this sector include:
Backlog-to-revenue ratio (signed pending orders relative to current revenue): This serves as the primary gauge of future revenue visibility and reflects market confidence in the firm’s long-term delivery execution.
Proportion of digital/high-growth revenue: Emphasis is placed on tracking the growth trajectory and contribution from high-potential areas such as artificial intelligence, cloud services, and cybersecurity, rather than legacy hardware maintenance or traditional outsourcing revenues.
Talent retention and per-capita productivity: As an intellectually intensive industry, sustained improvements in employee retention combined with rising revenue per employee—particularly when amplified by AI tooling—are strong leading signals of whether a company possesses genuine "exponential growth" characteristics.