Shailaj Kumar Shrivastava, Chandan Shrivastava
4 min
Modern warfare is undergoing a profound shift as military forces increasingly adopt advanced technologies to operate across land, sea, air, cyber, space, and information domains. This transition is driven by the need for greater operational speed, precision, and situational awareness. By automating decision-making and enhancing data processing, these technologies are changing how conflicts are initiated, managed, and resolved.
The authors categorize several critical technologies currently reshaping the battlefield:
The rapid deployment of these technologies introduces significant challenges. The authors highlight that autonomous systems raise difficult questions regarding accountability and the potential for unintended escalation. Furthermore, the accessibility of technologies like 3D printing and genetic engineering poses a threat if weaponized by non-state actors. The paper argues that as the timeline for decision-making compresses, the risk of ethical erosion increases, necessitating a global focus on security and the establishment of clear legal frameworks to govern the use of these powerful tools.
The modernisation of defence infrastructure and the adoption of emerging technologies, such as artificial intelligence AI, space technology, genetic engineering, radar technology, nanotechnology, 3D printing, the Internet of Military Things IoMT, extended reality XR, quantum computing, and cyber capabilities, are revolutionising military operations. Modern warfare is now fought across land, sea, air, cyber, space, and information domains. This paper analyses how emerging technologies are applied in military operations, identifies their capabilities, and explores the implications for current and future conflict. As new technologies emerge, they may lead to an arms race between countries. It is crucial to consider the erosion of ethical standards to manage future warfare. The weapons based on emerging technologies present significant dangers if used by terrorist groups, so global security should be a top priority.
Sam: I want to push on the evidentiary basis here, though. This reads as a descriptive survey. Does it actually quantify any of these performance claims?
Alex: It doesn't. And that's the most important limitation to name clearly. The paper functions as a taxonomy—it maps the landscape of emerging technologies and their potential interactions. There's no experimental validation, no operational performance data, no empirical benchmarks. What it offers is a conceptual framework for thinking about how these capabilities might combine, not evidence that they do combine in the ways described.
Sam: So the claims about decision-cycle compression, about logistics resilience—those are reasoned projections, not measured effects.
Alex: Correct. A careful referee would push back on almost every quantitative-sounding claim in the paper for exactly that reason. The authors seem aware of this; the framing is consistently about systemic implications and trajectory rather than demonstrated efficacy. The concern they're really tracking is structural—the potential for an arms race in algorithmic decision-making, where the speed of the processor becomes the primary military asset. [[RP_SECTION:algorithmic-deterrence-and-future-warfar|Algorithmic deterrence and future warfare]]
Sam: Which leads to the paper's most speculative claim—algorithmic deterrence. The idea that AI-simulated conflict outcomes could resolve disputes before any kinetic engagement occurs.
Alex: Right, and that's where the paper moves furthest from anything empirically grounded. It's a plausible extrapolation from the logic of the framework, but it's not supported by evidence in the review itself. What the paper does establish more solidly is the directionality: warfare is shifting toward domains where latency and computational throughput matter more than physical mass or industrial output.
Sam: And the unresolved question sitting underneath all of that is whether you can ever build sufficient confidence in a system's target discrimination to delegate the final, irreversible decision to it.
Alex: That's the question the paper raises but doesn't answer—and honestly, it's the question the field hasn't answered either. The technical capability is outpacing the frameworks we'd need to validate it. Thanks for listening to ResearchPod.