Proliferation of unmanned systems in modern warfare has popularized the notion that traditional platforms have reached the end of their operational relevance. Particularly, the Russia-Ukraine war has deepened the perception that small, agile, and inexpensive drones have rendered manned platforms in land, air, and sea domain obsolete.

This argument gains credibility while assessing drones’ performance against manned armored vehicles which are now routinely labelled as outdated systems against drone-enabled precision strikes. Yet, what is often depicted in the media is only one side of the coin. Drones often fail to find targets, are intercepted, or manage to hit their target, thus not achieving intended results. Despite proliferation of first-person view (FPV) drones, armored vehicles continue to play a vital role in maneuver warfare and protected mobility. Modern armor strategies have evolved to include combined arms and dispersion rather than mass for increasing survivability and combat efficiency. In the Russia-Ukraine war, several rudimentary measures like installation of cope cages atop turrets, have been implemented by both militaries to enhance the survivability rate of tanks against kamikaze drones. Vehicle mounted jammers have also shown promising results. Defensive technologies, like active protection systems (APS) and electronic countermeasures (ECM), have proven their efficiency against FPV drones. Thus, it can be argued that drones have not turned armored vehicles obsolete; they have forced them to evolve into more refined systems.

Similarly, in the aerial domain, many analysts perceive unmanned aerial systems (UAS) as cost effective alternative vis-à-vis manned aircraft. Yes, UASs have shown impressive evolution. From dropping laser-guided bombs (LGBs) to firing cruise missiles, air-to-air missiles, torpedo, and even smaller drones, drones have come a long way in changing warfare. Increasingly, drones have pushed manned aircraft aside as a more efficient option for operational engagement. In Nagorno-Karabakh conflict, Azerbaijan innovatively employed aerial drones to expose Armenian air-defenses’ positions making them vulnerable to subsequent Azerbaijan’s targeted strikes. This unique use of drones as a crucial component of SEAD/DEAD (Suppression & Destruction of Enemy Air Defenses) kill chain marked a watershed moment in modern warfare.

However, the inherent limitations of drones are obvious too. UASs are more susceptibility to electronic warfare (EW) disruption and have unproven records in complex battlespace with dynamics rules of engagement (ROEs). Claims that unmanned systems will soon replace fighter jets overlook the enduring advantages of human decision-making in contested and escalation-sensitive environments. Manned aircraft provide operational flexibility and command judgment that are yet to be replicated through automation alone. The developmental trajectory suggests that instead of perceiving UAVs as one-one-one substitute for piloted aircraft, the future lies in Manned-Unmanned Teaming (MUM-T) where manned aircraft will serve as command nodes while accompanied unmanned systems will provide mass, persistence, and attainability.

In the naval domain, the successfully employment of kamikaze surface and aerial drones by Ukraine in the Black Sea conflict is now frequently cited as an indicator that large surface combatants will soon turn into relics of past. Besides sinking multiple Russian warships in the Black Sea, Ukraine has even damaged a Russian Kilo class submarine stationed at Novorossiysk harbor using an underwater suicide drone. The Russian Black Sea Fleet, despite having overwhelming superiority over Ukrainian counterpart, has failed to establish sea-control in the Black Sea primarily due to remarkable performance of Ukrainian naval drones.

Similarly, in the Red Sea crisis, the Houthis’ rudimentary drones have challenged the operational persistence of Western naval powers. Kamikaze drones have compelled American, British, French, and German warships to deplete expensive air-defense missiles, which in some cases resulted in pre-mature withdrawal. Close-in Weapon Systems (CIWS) is usually considered a potent point of defense against all types of aerial threats in the maritime domain. However, both gun-based and missile-based CIWS have limited magazine capacity and engagement range. This suggests that against a more capable adversary, drone swarms can saturate warships’ defenses and can cause mission-kill by damaging critical instruments onboard, rendering them inoperable for extended time duration.

Although naval drones have added an additional layer of threat for warships, they do not, in themselves, render them obsolete. Novel defensive capabilities for countering drone threats are already in the developmental phase. Few systems have been deployed and evaluated in real combat. For example, on 03 March 2024, an Italian Andrea Doria class destroyer shot down an incoming kamikaze drone threat in Red Sea using DART projectiles fired from 76mm deck gun, a move far more economically feasible than air-to-surface missile. Similarly, high-energy lasers (HELs) onboard warships are being tested for countering drones. Besides kinetic defensive application, soft-kill measures such as jammers and decoy systems are also emerging as critical components of warships defensive suite.

In addition, the Black Sea and the Red Sea are enclosed bodies of water, offering limited operational space for naval forces and providing tactical advantage to drone-based asymmetric tactics. In blue waters, however, the effectiveness of such drones would diminish considerably. In open seas, it is unlikely that even mass formations of drones would be able to penetrate modern naval armadas. Although suicide drones can be used in formation with cruise and ballistic missiles to outclass adversary air-defenses, but repeating such a feat against time-sensitive and well protected high-value naval ships would be a very challenging undertaking. Thus, it can be argued that sea drones can be employed as enablers or force-multipliers in conjunction with other systems, but not as decisive instruments of naval warfare.

The future of warfare will not be defined by the triumph of drones over manned platforms. Today, drones have turned into a potent tool of warfare and are also an integral part of the kill-chain of modern militaries around the globe. However, limitations cannot be ignored. In practice, drones work less as independent war-winning weapons but are enablers and force-multipliers. In the age of viral narratives and simplified conclusions, misperceptions regarding military technologies are bound to persist. No single military system determines the outcome of war, and no single innovation renders all others irrelevant. Military power is cumulative and contextual.

Ahmad Ibrahim is a Research Associate at Maritime Centre of Excellence (MCE), Pakistan Navy War College (PNWC), Lahore. The views of the author are his own.

Assessing the Credibility of Manned Platforms in Contemporary Drone-Rich Combat Environment was originally published on Global Security Review.

Although the war in Ukraine firmly established the utility of drones in warfare, the relationship between drones and nuclear deterrence is still a largely unsettled topic. Suggesting that they are relevant is unlikely to draw much disagreement, but the exact form that relevance takes is where there may be disagreement. This leads to the following discussion.

Nuclear deterrence is a psychological effect where the perceived costs of taking an action that is undesirable to an adversary outweigh the perceived benefits. During the Cold War, the threat of catastrophic retaliation prevented the Soviet Union and the United States from initiating a nuclear attack against the other.

Historically, this doctrine relied on the survivability of nuclear arsenals in the event of a first strike by the adversary. Secure second-strike and a robust early-warning system were key elements of deterrence credibility. The introduction of drones into this framework in the years ahead creates new dimensions to the deterrence dynamic. Drones may enhance surveillance, improve command and control, and/or potentially deliver nuclear weapons.

Drones offer several advantages that make them attractive in the context of nuclear deterrence. They can provide continuous monitoring of adversary activities, bolstering early warning systems and reducing the risk of surprise attacks. Such a capability could increase strategic stability.

Advanced drones equipped with artificial intelligence (AI) could execute highly accurate first strikes, which could neutralize enemy nuclear assets preemptively. This would likely prove destabilizing.

Fielding drones capable of ensuring the survivability of nuclear forces by serving as mobile and/or concealed platforms could ensure a state maintains a credible second-strike capability. Again, this would likely prove stabilizing.

Drones could also serve as command-and-control platforms in a degraded environment when, for example, space assets are lost early in a conflict. Such a capability could serve as a deterrent to attack.

The integration of artificial intelligence (AI) into drones has significantly expanded their operational capability. AI-enabled drones can autonomously navigate complex environments, identify targets, and execute missions with minimal human intervention. This autonomy is particularly valuable in nuclear scenarios, where rapid decision-making and precision are critical.

Moreover, drones are being developed to carry nuclear payloads, although this remains a controversial and largely theoretical capability. The miniaturization of warheads and improvements in drone propulsion systems make this possibility increasingly plausible. If realized, nuclear-armed drones could offer stealthier and more flexible delivery options compared to traditional ballistic missiles.

Recent conflicts demonstrate the strategic value of drones. In Ukraine, for instance, drones are used extensively for reconnaissance and precision strikes, prompting global powers to accelerate their investment in drone technologies. While these applications are conventional, they underscore the potential for drones to play a role in strategic deterrence.

In the United States, China, and Russia, military doctrines are certain to evolve and incorporate drones into nuclear command-and-control systems. These developments reflect a broader trend toward automation and digitization in defense strategies, raising questions about the future of human oversight in nuclear decisionmaking.

Despite their strategic benefits, drones introduce several risks that could undermine nuclear stability. Autonomous drones conducting reconnaissance near sensitive sites could be misinterpreted as precursors to a nuclear strike, triggering unintended escalation. Increased autonomy in drone operations may reduce human oversight, heightening the risk of accidental or unauthorized use of nuclear weapons. The accessibility and affordability of drone technology could lead to its proliferation among non-nuclear states or rogue actors, complicating global arms control efforts. None of the challenges are guaranteed, but they are possibilities.

To mitigate the risks associated with drones in nuclear deterrence, the following policy measures are recommended. First, nuclear-armed states should develop treaties and agreements that define acceptable uses of drones in strategic scenarios, including restrictions on nuclear payloads. Second, there is a need for information-sharing among nuclear weapons states, designed to reduce misinterpretation of actions and build trust. Third, ensuring that critical decisions involving nuclear weapons remain under human control, even in automated systems, is an important component of any international agreement. Fourth, developing tools to monitor drone deployments and verify compliance with international agreements is also needed.

The potential for drones to enhance surveillance, improve targeting, and support second-strike capabilities makes them valuable assets in maintaining strategic stability. On the other hand, their autonomy, the potential to misinterpret their use, and the proliferation risks of some drones pose a significant challenge. As drone technology continues to evolve, it is imperative that policymakers and military experts work collaboratively to understand its benefits while safeguarding against its dangers. The future of nuclear deterrence stability may be influenced in significant ways by how well or poorly we adapt to drone technologies.

Steve Cimbala is a Senior Fellow at the National Institute for Deterrence Studies. Adam Lowther is the Vice President for Research at NIDS. Views express in this article are the author’s own. 

The Role of Drones in Nuclear Deterrence was originally published on Global Security Review.

From counterterrorism efforts to geopolitical forecasting, the applications of AI in strategic intelligence operations span a diverse array of domains, shaping national security strategies and global geopolitics alike. However, alongside these transformative capabilities come complex ethical, legal, and policy considerations that necessitate careful navigation.

            Foremost, AI has the ability to continuously monitor news sources, social media feeds, and other open-source intelligence channels in real time, alerting analysts to relevant developments as they happen. Sifting through massive datasets from diverse sources that include both open-source and classified reporting will allow analysts to quickly dismiss the “noise” and more easily discover relevant information that might otherwise be missed by human-driven analysis. Tedious and repetitive tasks, like report generation or data cleaning, can be automated, increasing efficiency and allowing analysts to focus their time and efforts on critical strategic analysis.

Furthermore, algorithms will unearth subtle trends, correlations, and anomalies that traditional analytical methods often overlook. This enhanced capability will empower proactive decision-making based on insights that would have otherwise remained hidden. Algorithms can help identify and mitigate potential biases in human analysis, promoting more objective decision-making processes. AI tools can act as a “smart assistant,” highlighting relevant information, providing summaries, and offering different perspectives to enhance human analysis. This frees up analysts from mundane information-gathering tasks and allows them to focus on higher-order strategic thinking.

Expanding further, the advanced collection and analytical features of AI will greatly assist with gauging potential instability in regions of interest, analyzing competitor activities, patent filings, and market trends, which can be streamlined with AI to quickly identify threats and opportunities. AI can analyze network traffic to detect anomalies indicative of potential cyberattacks, allowing for a faster response to cybersecurity threat detection.

The capabilities of generating and analyzing various potential scenarios based on historical data and current trends, in a fraction of the time needed for humans, provides analysts with a more comprehensive analysis for decision-makers to assess the likelihood of different outcomes and a higher confidence in predicting and understanding the consequences of their decisions. The AI-powered predictive analytical forecasting potential of geopolitical events, economic shifts, or emerging technologies that might create future strategic risks or opportunities for governments is attractive to all states as they leverage advantages to expand influence and power.

Incorporating AI capabilities into the strategic intelligence realm is not without its challenges or concerns. It will be imperative to ensure meaningful human control over any AI systems associated with strategic intelligence. Other national security assets should be considered a high priority at this critical onset of AI applications focused on the establishment of safeguards against autonomous decisions.

Considering AI relies on the accuracy and completeness of data, ensuring effective measures are in place to maintain data integrity and avoid garbage-in, garbage-out scenarios is critical. It is vital that AI models are interpretable so that analysts can understand the reasoning behind recommendations. This builds trust and facilitates better decision-making. Addressing biases in AI models and ensuring algorithms are used in a transparent and responsible manner that aligns with organizational values is also important.

Advancing AI may process vast amounts of data in times of crisis, and do it far faster than humans, though there is understandable concern about the appropriate level of AI involvement in high-stakes decisions where time is of the essence. For example, should AI have any control over nuclear launch decisions, and if so, how much? Errors in AI analysis or reliance on faulty data could lead to miscalculations and unintended escalation.

As intelligence agencies increasingly rely on advanced technologies like AI, there is a need for robust regulation and oversight to prevent abuse of power, misuse of data, and violations of civil liberties. Policies should establish clear guidelines for the collection, storage, and use of intelligence data, as well as mechanisms for accountability and transparency.

The proliferation of intelligence data and the use of advanced analytics pose challenges related to data security and protection. Policies must address issues such as data encryption, secure storage, access controls, and measures to safeguard against cyber threats and breaches.

Given the global nature of many intelligence threats, there is a need for international cooperation and the development of norms and standards governing the use of AI technologies. Policies should promote collaboration among intelligence agencies from different countries while respecting sovereignty and legal frameworks.

AI algorithms used in intelligence operations may exhibit bias or produce unfair outcomes, particularly if trained on biased data or programmed with flawed assumptions. Policies should address these concerns through measures such as algorithmic transparency, fairness assessments, and diversity in data sources and large language model (LLM) development.

The development and deployment of AI technologies can confer strategic advantages to nations or organizations. Policies may need to balance the pursuit of such advantages with efforts to prevent destabilizing arms races or conflicts arising from the use of intelligence capabilities.

The use of AI capabilities, particularly in areas such as cyber warfare or information operations, can raise the risk of deterrence failures or unintended escalation. Policies should seek to establish clear deterrence strategies, rules of engagement, and mechanisms for de-escalation to mitigate these risks. As AI technologies become more sophisticated, intelligence operations will increasingly involve human-machine collaboration. Policies should address issues such as human oversight, accountability for algorithmic decisions, and the ethical implications of human-AI interaction in intelligence activities.

The future of AI and strategic intelligence operations is poised to be characterized by continued innovation, integration, and adaptation to evolving geopolitical, technological, and societal landscapes. Further breakthroughs in AI technologies, including deep learning, natural language processing, and reinforcement learning, will enable intelligence agencies to extract deeper insights from vast and diverse datasets. This will enhance capabilities for predictive analysis, anomaly detection, and decision support across a wide range of intelligence operations.

The integration of AI into autonomous systems, such as unmanned aerial vehicles (UAVs) and unmanned underwater vehicles (UUVs), will certainly revolutionize intelligence, surveillance, and reconnaissance (ISR) capabilities. These systems will be capable of operating in contested or denied environments with reduced risk to human operators and logistical support assets.

The proliferation of cyber threats and the increasing reliance on information warfare tactics will drive the expansion of cyberintelligence capabilities. Intelligence agencies will focus on detecting, attributing, and mitigating cyberattacks, as well as leveraging information operations to shape narratives and influence adversaries.

The rise of social media platforms and digital communication channels will continue to reshape intelligence gathering and analysis. Open-source intelligence (OSINT) and social media analysis techniques will play an increasingly prominent role in monitoring global events, assessing public sentiment, and identifying emerging threats. Intelligence agencies will increasingly collaborate with other government agencies, international partners, and private-sector entities to leverage complementary expertise and resources. Fusion centers will facilitate the integration of intelligence from multiple sources to produce more comprehensive and timely assessments.

Intelligence agencies will need to enhance their resilience and adaptability to rapidly evolving threats, including emerging technologies, geopolitical shifts, and unconventional adversaries. This will require agile organizational structures, flexible operational frameworks, and continuous investment in training and capabilities development.

Overall, the future of AI and strategic intelligence operations will be characterized by a dynamic interplay between technological innovation, geopolitical dynamics, and societal trends. By embracing these trends and addressing associated challenges, intelligence agencies can enhance their effectiveness in safeguarding national security and advancing strategic objectives in an increasingly complex and interconnected world.

As the United States intelligence community navigates the complexities of an increasingly interconnected and unpredictable world, the future of strategic intelligence operations will be defined by our ability to harness the power of AI technologies while mitigating their risks and ensuring their responsible and ethical use. By embracing innovation, fostering collaboration, and upholding democratic values, intelligence agencies can effectively confront the challenges of the 21st century and advance the interests of peace, security, and prosperity for all.

Joshua Thibert is a Contributing Senior Analyst at the National Institute for Deterrence Studies (NIDS). With over 30 years of comprehensive expertise, his background encompasses roles as a former counterintelligence special agent within the Department of Defense and as a practitioner in compliance, security, and risk management in the private sector. The views expressed in this article are his own.  

Unveiling the Future: The Convergence of AI and Strategic Intelligence Operations was originally published on Global Security Review.