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Systematic review evaluates Modern C++ adoption trends in IT engineering, highlighting skills gaps and AI impacts.
The landscape of systems programming is undergoing a profound transformation, driven by the escalating demands of high-performance computing (HPC), the ubiquity of artificial intelligence (AI), and the imperative for functional safety in critical infrastructure. This research paper provides an exhaustive analysis of the state of Modern C++ (specifically C++20, C++23, and the anticipated C++26) within the global information and technology engineering sectors between 2020 and 2026. Through a systematic review of 45 peer-reviewed sources and industry reports, this study evaluates the adoption trajectories of modern language paradigms—including coroutines, modules, and static reflection—against the persistence of legacy architectures. The findings reveal a stark bifurcation in the industry: while sectors such as high-frequency trading (HFT), gaming, and embedded systems are aggressively integrating Modern C++ to leverage zero-cost abstractions and hardware acceleration, a significant skills gap and pedagogical stagnation pose existential risks to workforce readiness. Furthermore, the integration of AI-assisted development tools is reshaping the engineering workflow, offering productivity gains while simultaneously introducing new categories of software vulnerabilities. The study concludes that while C++ remains the foundational language of global digital infrastructure, its future viability relies heavily on the successful implementation of
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Viranchikumar Niranjankumar Patel (2026) studied this question.
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