The label of the “first AI war” obscures the reality that Operation EPIC FURY is still a conflict in which human judgment remains central to targeting. Artificial intelligence (AI) has not replaced human operators, but it has redefined how human judgment functions. The contemporary battlefield is now shaped by rate of fire, targeting accuracy, AI-enhanced cognition, and the real transformation that machine learning has introduced into modern warfare. 

One of the most persistent misunderstandings about AI-assisted targeting is the claim that humans have somehow been removed from the loop, decisions are made solely on AI recommendations, or strikes are approved in seconds without meaningful review. The human factor has not disappeared. Humans remain indispensable to targeting. What has evolved is not the elimination of human involvement, but the rapid synthesis of intelligence with target acquisition. That distinction matters because many assume there is little or no review before a strike is done. However, no systems make decisions independently. They supplement human decision-making by sorting and ranking information to generate recommended outcomes that must still meet rigid criteria. Analysts verify intelligence, legal teams conduct reviews, commanders make the final decision, and human beings remain responsible for the outcome. 

Critics often point to ambiguity in strategic-level U.S. directives. The Department of War Directive 3000.09 attempted to regulate certain AI-enabled systems, though the technology at the time was far less sophisticated than it is today. Military doctrine undermines the myth of autonomous targeting as well. The Army’s FM 3-60 frames targeting as an iterative command process and states that commanders remain the final approval authority for targeting activities and acceptable levels of risk. Machines may assist with detection, but they do not inherit command responsibility. The result is that humans remain in the loop because targeting is still a command process, not an autonomous one. Military doctrine frames targeting as a cycle of deciding, detecting, delivering, and assessing, but commanders retain authority over acceptable risks. AI can compress and organize the data, but it cannot make strategic or moral judgments. 

AI models remain central to identity-based targeting and advanced decision support. Open-source reporting indicates that sophisticated models, such as Anthropic’s Claude, integrated into systems such as Palantir designed Maven Smart System, have enabled rapid conversion of vast amounts of intelligence, surveillance, and reconnaissance (ISR), signals intelligence, and behavioral data into target packages. 

Human productivity has also increased. Tasks that once required weeks and a large staff can now be completed in minutes with fewer personnel. However, speed and efficiency do not mean AI independence. It does not change what Clausewitz described as the “grammar of war.”  

The most consequential shift in conflict today is the compression of time within the targeting cycle and its integration into intelligence. In the past, high-value or high-payoff targets were often missed because manual processes relied heavily on human operators and overwhelming amounts of ISR data. Past conflicts reflected these limitations. During Operation Desert Storm, Iraqi mobile Scud launchers exploited delays by firing and relocating before U.S. forces could strike them. Kinetic precision still frequently exceeds intelligence fidelity. A munition could hit its coordinates perfectly while the underlying intelligence remained flawed. The use of intelligence to target enemy combatants predates modern technology. AI did not invent decapitation strategies; it made them more data-driven and less dependent on purely human intelligence sources. The Information Age once overwhelmed operators with data. AI now provides a way to navigate that environment. This is why cyber intelligence and persistent access are essential to modern targeting. Pattern-of-life targeting relies on multiple streams of surveillance and behavioral data. AI’s greatest strength is its ability to combine these streams on a scale that would overwhelm most military units. Yet the central question remains unresolved by algorithms alone: should the target be neutralized? That decision is legal, moral, political, and strategic. 

A clear example of AI-integrated intelligence limits came on the first day of the 2026 Iran War, when a U.S. missile struck an elementary school in Minab, Hormozgan province, killing civilians, including children, in one of the war’s deadliest civilian incidents. The incident underscored a basic truth: AI-enabled targeting is only as dependable as its data. Here, the system likely relied on outdated intelligence that missed the school’s proximity to an Islamic Revolutionary Guard Corps compound.  

AI was not the likely source of failure. More likely, flawed intelligence and the fog of war were to blame. Human operators still validated the strike with satellite imagery and intelligence reviews, even though the target was effectively co-located with the school.  

The episode showed both the limits of AI models and the need for human review. Systems like Maven Smart System’s Target Workbench sort, correlate, and reveal intelligence, but humans still approve of final actions. AI can aid target validation, but legal review and command authorization remain essential. 

CONCLUSION 

The effectiveness of any algorithm depends entirely on the intelligence architecture and data supporting it. AI does not create certainty; it produces probability. If the underlying data is manipulated, incomplete, stale, or inaccurate, the output will reflect those flaws. The greater danger is not the removal of the human in the loop, but the compression of human judgment into groupthink. AI-generated recommendations can create an aura of probabilistic certainty that encourages agreement instead of scrutiny. Human operators may still make the final call, but the risk is that they increasingly validate model logic rather than independently challenge it. 

Humans remain in the loop today, but intelligence is now sorted at machine speed while generative systems provide recommendations to reviewers within the targeting cycle. Doctrine should evolve to ensure that human judgment takes precedence over AI-generated recommendations. The defining feature of this so-called first AI war is therefore not the replacement of human agency, but the intensification of human responsibility to judge, restrain, and decide at machine speed. 

Lieutenant Colonel Matthew J. Fecteau is an information operations officer working with artificial intelligence, and a PhD researcher at King’s College London. The views expressed in this report are those of the author and do not necessarily reflect the official policy or position of the Department of the Army, the Department of War, or the US Government. 

Why the “First AI War” is Still a Human Struggle was originally published on Global Security Review.

There is a comforting fiction at the heart of much contemporary strategic thinking: conventional military capabilities can substitute for nuclear deterrence without requiring the same political will. It is a neat idea—reassuring, technologically optimistic, and politically convenient. It is also dangerously wrong.

Deterrence does not reside in platforms, precision, or posture. It resides in belief—specifically, the adversary’s belief that you are both capable of inflicting costs and willing to do so. Strip away that second element, and deterrence collapses into theater.

This is the central problem confronting Australia and its allies as they navigate a rapidly shifting Indo-Pacific security environment. As nuclear risks grow, particularly with China’s expanding arsenal, there has been a noticeable intellectual pivot toward elevating conventional capabilities as a more “usable,” credible, and politically palatable form of deterrence. Long-range strike, autonomous systems, undersea warfare, and advanced ISR are all presented as tools that can impose meaningful costs without crossing the nuclear threshold.

However, this argument only holds if those tools are used. Too often, the debate stops at capability acquisition. Billions are spent, platforms are announced, doctrines are drafted. Yet, there is a conspicuous silence when it comes to the harder question: under what circumstances would Australia employ these capabilities in anger? What thresholds trigger their use? What risks are we prepared to accept in doing so?

Without clear answers, the signal sent to adversaries is not strength, but hesitation. Consider the logic from the perspective of a competitor. If Australia invests heavily in long-range strike but avoids articulating when it would employ it, an adversary may conclude that those capabilities are politically constrained. If grey-zone coercion, such as the deployment of sea mines, harassment of maritime assets, or interference with undersea infrastructure, does not elicit a forceful response, then the lesson learned is not deterrence, but permissiveness.

In this sense, ambiguity is not always stabilizing. It can just as easily invite probing. The uncomfortable reality is that conventional deterrence demands a level of resolve that many policymakers are reluctant to acknowledge. Unlike nuclear weapons, whose very horror lends them a paradoxical clarity, conventional forces sit in a murkier space. They are more usable, but precisely for that reason, credibility hinges on demonstrated willingness.

A missile that will is restricted from use is not a deterrent. A submarine that will not be deployed into contested waters does not shape adversary behavior. A cyber capability that remains permanently in reserve does not impose costs. Deterrence, in the conventional domain, is performative. It must be signaled, exercised, and at times demonstrated.

This does not mean recklessness or a rush to escalation. It means recognizing that deterrence is not cost-free. If the objective is to prevent adversary action, then one must be prepared to act before the situation becomes intolerable. Waiting until costs are imposed on you, economically, militarily, or politically undermines the very logic of deterrence. This is where much of the current discourse falls short. There is a tendency to treat conventional capabilities as inherently stabilizing, as though their mere existence alters adversary calculations. But capabilities without credible intent are inert. Worse, they can create a false sense of security, masking the erosion of deterrence beneath a veneer of preparedness.

The challenge is particularly acute for middle powers like Australia, which rely heavily on alliances and extended deterrence. As questions grow around the credibility of U.S. nuclear guarantees, especially in a more contested and multipolar environment, there is an understandable desire to bolster national self-reliance through conventional means. This is a sensible objective. But it cannot be achieved through hardware alone.

If conventional forces are to serve as a substitute or even a supplement to nuclear deterrence, then they must be embedded within a clear framework of political resolve. This requires more than capability development. It requires declaratory policy, strategic signaling, and a willingness to accept escalation risks.

For example, if the laying of sea mines in Australian waters is deemed unacceptable, then that must be stated clearly and backed by a credible commitment to respond with force if necessary. Anything less invites incremental encroachment. Over time, such encroachment normalizes behaviors that would once have been considered intolerable.

History offers ample evidence of this dynamic. Deterrence erodes not in dramatic moments, but through a series of small, unchallenged actions that cumulatively shift the baseline of what is acceptable. By the time a clear red line is crossed, it is often too late as the adversary has already recalibrated expectations.

The solution is not to abandon conventional deterrence, but to take it seriously. This means confronting uncomfortable questions. Are we prepared to use long-range strike capabilities against an adversary’s military assets in the initial stages of a crisis? Would we target grey-zone actors operating below the threshold of armed conflict? How do we signal our intentions without triggering the very escalation we seek to avoid? There are no easy answers, but avoiding the questions altogether is not a strategy, it is an abdication.

Ultimately, deterrence is about shaping perceptions. It is about convincing an adversary that the costs of action will outweigh the benefits. This cannot be achieved through ambiguity alone, nor through capability acquisition in isolation. It requires a coherent integration of means, messaging, and above all else, will.

If policymakers are unwilling to countenance the use of conventional force, then they should be honest about the implications. In such a scenario, conventional capabilities do not replace nuclear deterrence; they merely decorate its absence.

The risk is not just strategic failure, but strategic surprise. An adversary that perceives a gap between capability and intent will exploit it; once that perception is formed, it is exceedingly difficult to reverse.

Deterrence, in the end, is a test of credibility and resolve. It is not measured by what you possess, but by what an adversary believes you will do. In strategic competition, credibility is not claimed; it is proven and without resolve, deterrence is nothing at all.

Natalie Treloar is the Australian Company Director of Alpha-India Consultancy, a Senior Fellow at the Indo-Pacific Studies Center (IPSC), a Senior Analyst at the National Institute for Deterrence Studies (NIDS), and a member of the Open Nuclear Network. Views expressed in this article are the author’s own.

Deterrence Without Resolve Is No Deterrence at All was originally published on Global Security Review.

One thing is clear: Pakistan’s nuclear capability is solely focused on India. Claims to the contrary misrepresent Pakistan’s doctrinal posture while creating unfounded geostrategic fears.

Unlike North Korea or Russia, Pakistan’s nuclear doctrine is India-focused and regionally confined. Even when it became a nuclear power, it was not the first country to introduce nuclear weapons in South Asia. Pakistan’s missile inventory includes the Shaheen, Ghauri, Ababeel, and other series of missiles. They are all short- or medium-range missile systems to counter Indian nuclear capabilities. Even Pakistan’s multiple independently targetable reentry vehicle (MIRV)–capable medium-range ballistic missile (MRBM), the Ababeel, has a range of 2,200 km and is a response to India’s ballistic missile defense system.

Moreover, Pakistan’s Shaheen III land-based MRBM has a range of 2,750 to cover Indian far-off strategic bases in the Andaman and Nicobar Islands. These missile ranges are not even close to the ICBM threshold of at least 5,500 km.

Unlike nuclear weapon states that have ICBMs, Pakistan does not possess the intelligence, surveillance, and reconnaissance (ISR) capability, terrestrial or space-based, needed to accurately launch nuclear weapons half-way across the planet. India, not Pakistan, is working on not just ICBMs, but also the global ISR infrastructure to effectively employ such weapons. India has not only tested the Agni-V, which has a range of 8,000+ km but is also developing the Agni-VI with a 12,000 km range. The K-5 submarine-launched ballistic missile (SLBM), with intercontinental strike capability, is also in development.

It is alarming to note that the deployment of K-5 SLBMs on expansive ocean patrols can enable India to target Europe, Russia, Israel, and American Pacific territories. Such Indian military and nuclear buildup are not consistent with India’s policy of credible minimum deterrence (CMD).

Currently, India is accelerating the deployment of 52 military satellites for ISR. These satellites will support ICBM employment and anti-satellite (ASAT) weapons capabilities.

Indian naval nuclear projection also indicates that it will develop military bases abroad in accord with its ambitions to be a blue-water navy. India is developing overseas military facilities across the Indian Ocean region, including in the Seychelles, Tajikistan, Oman, the Maldives, and Mauritius. India also has signed logistic support agreements (LSAs) with states for mutual logistic support at ports and bases. These agreements also include ISR agreements with Australia, France, Russia, Singapore, South Korea, the United Kingdom, the US, and Vietnam.

Pakistan’s strategic culture and historic interests reflect a deep concern with losing a conflict against India. This is because Pakistan does not have the geography that allows for a defense in depth against an attacking Indian Army. Thus, both conventional and nuclear forces are designed to deter and defeat that specific threat.

Pakistan’s nuclear doctrine is defined by the logic of CMD. Its full-spectrum deterrence (FSD) posture also falls under CMD at all levels of threat, including tactical, operational, and strategic. The development of an ICBM is inconsistent with every aspect of Pakistani military thinking and action.

Pakistan already fields the capabilities needed to strike any target in India. Pakistan has no ambitions regarding global power projection. From a Pakistani perspective, building nuclear weapons for the sake of coercing or striking the United States only makes the relationship with the United States worse and invites American intervention in Pakistan.

When Vipin Narang and Pranay Vaddi, Indian Americans, published an article in Foreign Affairs in which they suggested Pakistan is building an ICBM whose target is the United States, they engaged in blatant information warfare. Their assertion is unfounded.

India’s shift from deterrence-by-denial to a more aggressive nuclear posture, including deterrence by compellence and punishment, certainly has Pakistan concerned. This change is tolerated by the United States because India is seen as a counterweight to China in Asia.

It is important for Americans to learn a critical lesson from the 2020 China-India crisis; India is unlikely to fight with the US against China if a war comes. China is the second-largest trade partner of India after the US with total trade reaching $127.7 billion in 2024–2025. There is ample reason for India to do what it has always done, play both sides.

Admittedly, Pakistan has a problem with terrorism and a difficult time effectively controlling terrorists operating from the Afghan border region, which grew worse when Pakistan partnered with the US to fight the War on Terror. Pakistan is now the second most negatively affected country when it comes to terrorism.

Over recent years, Islamabad alone lost 80,000 civilian and security personnel to the menace of terrorism. India has also been involved in terror activities in Pakistan, irrefutable evidence of Indian involvement was provided to UN Secretary-General.

Keep in mind, the vast majority of Pakistanis want to live in a country that looks like the United States, not one that looks like Afghanistan or China—when it comes to democracy, economic prosperity, freedom, and stability. Pakistanis want increased economic trade and development with the United States, not nuclear war.

As India expands its capabilities, Pakistan is likely to follow India’s lead. This is, however, done for the purpose of ensuring India cannot launch a disarming strike against Pakistan. Platforms like SSBNs may be necessary as Pakistan is compelled to diversify, not globalize, its range of nuclear weapons.

If the US is sincere in its desire to create stability in South Asia, encouraging India to cease building nuclear weapons that are a direct threat to Pakistan would be helpful. The US can also invest in arms control dialogue and crisis communication in South Asia. President Trump played a key role in ending the most recent conflict. He also ended the Twelve Day War between Iran and Israel. Given his concern for preventing war, President Trump can play a critical role in South Asia.

Pakistan has partnered with the United States since its independence from India. It was a partner during the Cold War when India was not and worked closely with the United States for two decades during the conflict in Afghanistan. Admittedly, Pakistan faces some internal challenges, but educated Pakistanis want nothing more than a good relationship with the United States.

Anum A. Khan is an Associate Director at the Centre for International Strategic Studies (CISS), Islamabad, a Youth Leader Fund (YLF) Mentor with the United Nations Office for Disarmament Affairs (UNODA), and Project Associate of The Third Nuclear Age Project.

Pakistan Is Not Building an ICBM to Attack America 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.