Conscience Be Programmed into a Machine?

A Record of the 2026 Iran War and the Kill Chain Dominated by Artificial Intelligence

Chapter 1. Claude's War — The Day Silicon Valley Entered the Kill Chain

In the pre-dawn hours of February 28, 2026, as over 200 fighter jets surged into the skies above Tehran, a large language model was simultaneously reading satellite imagery, signals intelligence, and surveillance feeds from somewhere thousands of kilometers away from the battlefield. It was Claude, the AI created by Anthropic. Integrated into Palantir's Maven Smart System, Claude reportedly generated approximately 1,000 prioritized targets in the first 24 hours. According to multiple outlets including the Washington Post, Reuters, and South Korea's Yonhap News, Claude was deployed for intelligence assessment, target identification, and combat scenario simulation — an AI originally designed to calmly answer people's questions was now calculating who to bomb first.

Palantir Technologies had long been building the digital nervous system of American defense. In July 2025, it signed a $10 billion, ten-year contract with the U.S. Army, and the Maven-related contract was expanded to $1.275 billion, with over 20,000 soldiers across 35 units using the system on a daily basis. Palantir's 'Gotham' platform weaves together scattered data — satellite imagery, communications intercepts, field reports — using ontology technology to uncover hidden relationships and patterns. 'TITAN' is a mobile ground station that beams real-time targeting information to the front lines, and the 'Artificial Intelligence Platform (AIP)' directly connects large language models to military operations, enabling commanders to receive situation report summaries or generate operational drafts in natural language. Claude was layered on top of all this. Synthesizing drone footage, satellite data, and communications intercepts in real time, it completed in hours what would previously have taken thousands of analysts days. Target selection time was compressed from hours to minutes.

War looks like vast noise, but it is actually the art of classification. Which signal is a threat, which vehicle is connected to a missile launcher, which movement pattern is a trace of command — that distinction sets the pace of combat. What Palantir built was a map of data. What the language model changed was the way that map is read. A language model does not bomb imagery directly. Instead, it constructs sentences from the flood of data — "What risk does this target pose?", "Which launcher currently retains counterattack capability?", "Which strike will collapse the air defense network first?" Commanders no longer spread dozens of reports across a table to piece together a puzzle. They ask a question, and the model returns summaries, classifications, priorities, even operational scenarios. At that moment, the language model becomes not a secretary but a staff officer. The problem is that this staff officer knows no fear. A human hesitates before ambiguity, but the model smooths even ambiguity into polished prose. When that fluency begins to look like reliability, the danger starts. This war is not a story about 'AI firing missiles' — its character diverges at the point where AI rearranged the very configuration of reality placed before the commander's eyes. Targets are sorted faster, priorities are updated in real time, and human commanders are increasingly pushed from making judgments themselves to approving among choices compressed by the system. When miscalculation occurs, accountability blurs between human and machine, and the persuasiveness of the model's prose conceals the incompleteness of facts. The ancient truth that war moves through language remains, but the author of that language has changed.

Yet on that very day — February 28, when the bombing began — a historic collision erupted. Anthropic argued that Claude should not be used for mass surveillance of American citizens or for fully autonomous weapons operating without human decision-making. The Pentagon demanded access for "all lawful purposes." President Trump ordered all federal agencies to cease using Anthropic technology. But by the time that order was issued, Claude had already been used for intelligence analysis and target selection in the first hours of the Iran strikes.

Anthropic CEO Dario Amodei said in a statement: "I deeply believe in the existential importance of using AI to defend the United States and other democracies, but today's AI systems are not reliable enough to operate fully autonomous weapons." The Department of Defense designated Anthropic a 'supply chain threat,' and OpenAI's Sam Altman signed a separate contract with the Pentagon within hours, filling the gap. Over 900 tech workers from Google, OpenAI, and other companies signed a solidarity petition, and the public responded more directly — within 48 hours of OpenAI's defense contract announcement, 1.5 million paid subscribers left, and ChatGPT app deletion rates surged 295%. On the opposite side, Claude reached the top of the overall Apple App Store for the first time in its history. It was a moment that demonstrated that in the AI industry, 'trust' and 'ethical positioning' had become variables determining corporate survival as much as performance itself.

Yet behind all this drama lies a harsher truth. Whether Claude or OpenAI's models, the deployment of generative AI — large language models — for target generation and intelligence synthesis was entirely unprecedented in military history. According to the Jerusalem Post's analysis, without AI systems, the United States and Israel "would not have achieved more than 5-10% of their target list." The scene of a technology supplier's conscience colliding head-on with a nation's warfighting capability became the archetype of a structural tension that every AI war will repeatedly face.

Chapter 2. Chain Reaction — From the Hamas Attack to the Assassination of Khamenei

To understand today's war, one must return to October 7, 2023. The Hamas attack on Israel was the detonator of a geopolitical chain reaction. Iran's 'Axis of Resistance' — Hamas, Hezbollah, the Houthi rebels, Iraqi militias — simultaneously pressured Israel, and in April 2024, Iran struck Israeli territory directly for the first time in history. In the 'True Promise' operation, 170 drones, 30 cruise missiles, and 120 ballistic missiles were launched simultaneously — the largest drone attack in history.

The turning point came in June 2025. Immediately after the IAEA reported that Iran possessed highly enriched uranium sufficient for nine nuclear weapons, Israel launched 'Operation Rising Lion.' Over 200 fighter jets dropped more than 330 munitions on approximately 100 targets across Iran, including Natanz, Isfahan, and Fordow. Precision weapons launched from drone bases that Mossad had covertly established near Tehran months earlier neutralized Iran's air defenses. AI was already functioning as a critical link in the kill chain during this operation. An Israeli intelligence officer directly interviewed by the Associated Press testified that AI had been used since October 2024 to sift through vast surveillance data, and was deployed for satellite data analysis, target identification, and strike path optimization. U.S.-manufactured AI systems were also utilized to enhance accuracy and minimize collateral damage. Targets were classified by category — leadership, military, civilian, infrastructure — and the intelligence officer was tasked with compiling a list of Iranian generals including their workplaces and leisure-time movements. CSIS analyzed the operation and concluded that "deep integration of special operations forces, autonomous drones, and AI-enabled intelligence, surveillance, and reconnaissance is now the baseline for theater entry" — pre-positioned swarms of small explosive drones saturated Iran's air defense radars and communications nodes, followed by precision strikes from 200 fighter jets. In the initial strikes, approximately 30 generals including IRGC Commander-in-Chief Hossein Salami and over 9 nuclear scientists were killed. The Jerusalem Post assessed that while the IDF had used AI and big data in previous operations, the scale of AI technology integration in Rising Lion was "unprecedented." Over the 12-day war, Iran retaliated with over 550 ballistic missiles and more than 1,000 Shahed suicide drones. Israel's multi-layered air defense achieved an approximately 86% interception rate, but 29 Israelis were killed. Iranian casualties exceeded 600.

The United States intervened with 'Operation Midnight Hammer,' in which seven B-2 stealth bombers dropped 12 massive ordnance penetrators on the Fordow underground facility, and a ceasefire was declared on June 24. AI and cyber warfare played a decisive role in this operation as well. According to an exclusive report by Recorded Future News, U.S. Cyber Command (CYBERCOM) digitally struck 'upstream' nodes of the military network connected to Iran's nuclear facilities, preventing Iran from launching surface-to-air missiles — the most sophisticated operation against Iran in Cyber Command's 16-year history. Chairman of the Joint Chiefs of Staff General Caine publicly stated that Cyber Command had supported the "strike package," and massive electronic jamming was conducted across the entire electromagnetic spectrum. The result is summarized in one line from Caine: "Iran's fighters did not fly, and it appears that its surface-to-air missile systems did not see us." While 125 aircraft struck all three nuclear facilities within 30 minutes, Iran was effectively blinded. Meanwhile, AI-based psychological warfare was simultaneously deployed in cyberspace. Researchers from Clemson University and Canada's Citizen Lab revealed that a fake X account network named "PRISONBREAK" ran an AI-based manipulation campaign to incite Iranian citizens to revolt — this campaign began in January 2025 and peaked during the June war. However, Iran's nuclear program setback was estimated at only several months to a maximum of two years.

In December 2025, the largest anti-government protests since the 1979 revolution spread to over 100 cities in Iran. When the Revolutionary Guards massacred protesters, Trump warned of military intervention, and the largest Middle East military buildup since the 2003 Iraq invasion began. Two aircraft carriers, F-15E fighters, and 14 aerial refueling tankers were deployed to Israel's Ben Gurion Airport — the first time American offensive weapons were stationed in Israel.

Then February 28, 2026 came. The U.S.-Israeli joint air campaign began, and Israel independently struck Khamenei's residence based on CIA intelligence. The Supreme Leader, along with his daughter, son-in-law, grandchild, and daughter-in-law, was killed. Approximately 40 senior Iranian officials died in the initial strikes. Iran launched retaliatory missiles and drones across nine countries under 'True Promise IV' and blockaded the Strait of Hormuz. A missile hit a synagogue in Beit Shemesh, killing 9, and an airstrike on a girls' school in Hormozgan province killed 165. The Jerusalem Post dubbed this war "the first full-scale artificial intelligence war in history." The Rising Lion and Midnight Hammer operations of June 2025 were still a phase where AI remained an 'auxiliary' in the kill chain, but AI was already operating at the core across all domains — target identification, cyber warfare, autonomous drone operations, and psychological warfare. Operation Epic Fury in 2026 was the result of those seeds blossoming into full-scale war.

Chapter 3. Eleven Seconds of Electronic Warfare — The Cyberattack That Blinded Iran

Simultaneously with the launch of operations on February 28, 2026, Iran's internet connectivity plummeted to 1-4% of normal levels — described as "the largest cyberattack in history." U.S. Cyber Command (CYBERCOM) was deployed alongside Space Command as "first movers." In the words of Chairman of the Joint Chiefs General Caine, they "disrupted, degraded, and blinded Iran's ability to see, communicate, and respond." According to some analyses, AI identified and classified over 50,000 signals in 11 seconds, deploying adaptive jamming, and paralyzed Iran's command system for 47 minutes.

Already in the June 2025 'Midnight Hammer' operation, CYBERCOM had digitally neutralized Iran's air defense systems to secure a bombing path for American warplanes to strike nuclear facilities. NSA-supported operators struck 'upstream' nodes of military networks to prevent Iran from launching surface-to-air missiles.

Iran struck back as well. Iranian hacker groups used Google Gemini to gather intelligence on Israel's defense systems, satellite infrastructure, and drone technology, and an influence operation using OpenAI models (STORM-2035) was detected. Iran-linked cyberattacks surged 700% after the June 2025 war, and approximately 60 hacktivist groups were active as of early March 2026.

The most unexpected attack was physical. On March 1, 2026, Iran used drones and missiles to strike AWS data centers located in the UAE and Bahrain. Two availability zones in the UAE region's 'ME-CENTRAL-1' were paralyzed by fire and power outages, and error rates for core cloud services including EC2, S3, and RDS spiked. It was the moment a new logic of war emerged — physically destroying the adversary's computing infrastructure to degrade their AI capabilities. The Gulf states' AI-driven economic diversification strategies suddenly confronted the new geopolitical risk of data center physical vulnerability.

Both sides deployed cognitive warfare using deepfakes. The Iranian side used AI to generate and spread virtual destruction scenes of Tel Aviv, while Israel's Unit 8200 developed synthetic media operations — generative AI voice cloning and GAN video. AI-manipulated satellite imagery exaggerating or misrepresenting actual damage proliferated, and social platform X had to introduce a policy of "restricting monetization for posting unlabeled AI-generated war videos." The boundary between war and falsehood was dissolving under AI's hand.

Chapter 4. Lavender, Gospel, Where's Daddy? — Israel's Algorithmic Killing Factory

The most controversial yet most operationally efficient technological element of this war was the AI target generation systems developed by Israel's Military Intelligence Unit 8200. These systems simultaneously proved that the ethical boundaries of warfare had been breached and demonstrated overwhelming operational efficiency.

Lavender uses semi-supervised machine learning to assign numerical scores indicating the probability of armed group affiliation to the entire population of Gaza and Iran-linked proxy forces. Synthesizing dozens of surveillance data points — call patterns, social media activity, movement routes, frequency of phone number changes, contact with numbers associated with armed organizations — Lavender flagged 37,000 Palestinians as 'suspected militants' within the first few weeks of the war.

The testimony from six Israeli intelligence officers in the April 2024 investigation by +972 Magazine and Local Call was shocking. Officer 'B' stated: "I invested 20 seconds on each target, and processed dozens per day. I had no added value as a human being beyond serving as a rubber stamp." The verification process consisted merely of confirming that the target was male. Lavender's error rate was acknowledged at approximately 10%, yet the military approved its use despite this — meaning approximately 3,700 people were incorrectly designated as targets. According to the source, "there was no oversight mechanism to detect civilians erroneously marked."

Gospel (Habsora) is a system that generates building and structural targets rather than human targets. Before Gospel's introduction, human analysts produced approximately 50 targets per year. Gospel generates over 100 per day. In the first 35 days of the 2023 war alone, over 12,000 targets were bombed — double the 6,000 targets struck during the 51-day war in 2014. A former Israeli intelligence official described the system as a "mass assassination factory." Gospel also generated 'power targets' — residential high-rises, public buildings — used to apply psychological pressure on Palestinian society.

'Where's Daddy?' is a system that tracks Lavender-flagged targets in real time and sends an automatic alert when the individual enters their family's home. An intelligence officer testified: "We were not interested in killing Hamas operatives only when they were in military buildings. The military did not hesitate to bomb them at home. Bombing homes was much easier." Lower-tier targets were struck with unguided 'dumb bombs,' destroying entire houses and killing everyone inside. For lower-tier combatants, 15-20 civilian deaths were permitted; for senior commanders, over 100 civilian deaths were approved on multiple occasions.

In December 2025, the IDF established a dedicated AI division called 'Bina,' commanded by a brigadier general. Its goal was "to turn one tank into 100, one soldier into 100." In April 2025, a military AI chatbot called 'Genie,' modeled on ChatGPT, was deployed to all military command centers, using RAG technology to answer commanders' questions based on IDF operational data. Additionally, Fire Weaver networked various battlefield sensors and weapons platforms, with algorithms distributing in real time which target should be struck by whom, when, and how. The automated fire command system was behind Israel's ability to strike the Iranian leadership, air defenses, and missile bases almost simultaneously.

Action on Armed Violence (AOAV) assessed that the entire system had reduced human analysts to "biological rubber stamps." A source who observed alongside ground forces described what he saw: "People get promoted to terrorist ranks after they're dead."

Chapter 5. Twenty Seconds of Rubber-Stamping — The Ethical Abyss Between AI Targeting and Civilian Massacre

The most agonizing question of this war is the gap between AI's promise of precision and the reality of civilian protection.

Gaza war deaths exceeded 70,117 as of December 2025, with over 170,000 wounded. According to a leaked Israeli military intelligence database reported by The Guardian and +972 in August 2025, confirmed Hamas/PIJ combatant deaths through May 2025 were approximately 8,900 — only about 17% of the 53,000 total deaths at the time. 83% were civilians. The Max Planck Institute estimated total deaths at 100,000-126,000, of which 27% were children under 15 and 24% were women.

In Operation Epic Fury, AI targeting errors also produced lethal consequences. An elementary school in Iran's Minab was accidentally bombed, killing approximately 100 children, and an airstrike on a girls' school in Hormozgan province killed 165. Whether these incidents resulted from AI recommendations, data bias, or conventional military error cannot be determined from open sources. However, the concern that decision compression and automated recommendations reduce actual review time, thereby increasing the risk of civilian casualties, is structural.

International law experts' criticism focuses on three core principles. First, the principle of distinction — Lavender's 10% error rate means thousands of civilians were improperly classified as combatants. Can probabilistic scores based on digital patterns satisfy the positive identification required by international humanitarian law? Second, the principle of proportionality — permitting 15-20 civilian deaths per lower-tier combatant contrasts dramatically with the standard of 0-5 in previous conflicts. Automated systems cannot perform proportionality assessments involving value judgments, creating a 'responsibility gap' where accountability for civilian casualties becomes unclear. Third, the duty of precaution in attack — the 20-second human review is assessed as "virtually irrelevant" to meaningful legal review.

UN Special Rapporteur Francesca Albanese concluded that Israel was committing genocide, and the ICC issued arrest warrants for Netanyahu and Gallant for war crimes in November 2024. The ICRC President repeatedly urged compliance with the laws of war, recommending the prohibition of unpredictable autonomous weapons systems and autonomous weapons that directly target humans.

Chapter 6. Overwhelming Quality with Quantity — Iran's Asymmetric AI Strategy

Iran's military philosophy rests on a fundamentally different premise from that of the United States and Israel. Rather than developing cutting-edge AI, Iran pursues an asymmetric attrition warfare doctrine that economically exhausts the enemy's expensive defense systems through low-cost mass production. Against Iran's $20,000-50,000 per Shahed drone, the defending side must spend $200,000-280,000 per interception — a cost asymmetry of 20:1 to 28:1. Iran's drone production capacity reaches 200-500 per month, producing 2,400-6,000 Shahed-family drones annually. Russia's Alabuga factory was additionally producing approximately 18,540 Shahed-type drones per year.

In February 2025, Iran commissioned its first drone aircraft carrier, 'IRIS Shahid Bagheri' — a converted 787-foot container ship with a 570-foot flight deck. Drones stockpiled in vast underground tunnel networks were dispersed assets that no airstrike could completely eliminate.

The most technically noteworthy weapon is the Fattah-2 hypersonic missile. Carrying Iran's first genuine hypersonic glide vehicle (HGV), this missile flies at Mach 15 and is maneuverable in both pitch and yaw within the atmosphere. On March 1, 2026, the Fattah-2 was used in combat for the first time, penetrating Israel's multi-layered air defense network and striking an IDF command center, killing 7 senior officers. Rafael's Vice President Yuval Basesky warned: "Hypersonic missiles have opened a new era in air defense. Traditional approaches cannot be relied upon."

Iran's drone 'swarms' were not AI-autonomous swarms in the Western military definition. They were mass-coordinated attacks launched in waves following pre-programmed GPS waypoints. However, in the 2026 'True Promise IV' operation, Iran launched over 2,000 suicide drones across nine countries within days, employing tactics that mixed drones and ballistic missiles to simultaneously deplete the defender's radar capacity and interceptor stockpiles. Iran had closely observed Russia's nighttime 100-plus drone swarm tactics tested in Ukraine and applied them to the Middle East.

Meanwhile, the United States turned Iran's strategy against it. It reverse-engineered Iran's Shahed-136 to develop the LUCAS low-cost autonomous attack drone at $35,000 per unit. Hundreds of LUCAS drones operated by 'Task Force Scorpion Strike' swarmed to saturate Iran's air defense network, precisely striking radar sites and missile launchers. Cases were reported of a $30,000 drone destroying a radar site worth $300 million — a 10,000x return on investment. The asymmetric logic Iran had created was turned back against it.

Iran's indigenous AI development is assessed as "Heavy Thunder, No Rain." While Iran established a $20 billion national AI investment plan and a National Artificial Intelligence Organization, sanctions restricting access to advanced chips and cloud infrastructure held it back. However, in May 2025, analysis of Iranian drone wreckage recovered in Ukraine confirmed the first combat deployment of a fully autonomous lethal system capable of AI-based targeting without human input. The drone itself may have been crude, but the seed of autonomy planted within it was enough to alarm Western analysts.

Chapter 7. Judgment in 2.4 Seconds — From Iron Dome to Arrow 4

Israel's multi-layered air defense system represents the most widely accepted form of AI military application — a defensive system where real-time human intervention is physically impossible. Iron Dome's AI has an average decision cycle of 2.4 seconds from detection to engagement. The EL/M-2084 radar and mPrest battle management system analyze 18 variables — including altitude decay rate, wind shear patterns — to calculate the optimal intercept point. They prioritize threats according to population density and strategic value, and determine that approximately 70% of incoming projectiles are not threats, ignoring them to conserve interceptors. There is no room for humans in this system — no human can analyze 18 variables and render judgment in 2.4 seconds.

Since October 7, 2023, Iron Dome has received at least five major software upgrades. In March 2025, a special upgrade for countering drones and cruise missiles was implemented, expanding engagement capability from short-range rockets only (4-70km) to cruise missiles, ballistic targets, UAVs, and precision-guided munitions. On December 30, 2025, the laser-based Iron Beam system became operational, and was reported to have been used in combat for the first time against Hezbollah rockets from Lebanon in March 2026.

David's Sling achieved the first-ever ballistic missile interception during the June 2025 Iran war, and the most significant development was the emergence of Arrow 4. Officially announced by the IAI CEO in February 2026, this system was designed with AI-enhanced technology to intercept maneuvering reentry vehicles (MaRV) and multiple independently targetable reentry vehicles (MIRV). It was a direct response to Iran's introduction of multi-warhead missiles aimed at saturating the air defense network. Israel allocated an additional $12.5 billion to the 2025-2026 defense budget and tripled Arrow 3 production rates.

AI autonomy in defensive systems stands on an entirely different moral terrain from autonomy in offensive systems. Few object to intercepting an incoming missile in 2.4 seconds. But when that same technological capability — speed, autonomy, the exclusion of humans — crosses over to the offensive side, the moral debate shifts to an entirely different dimension.

Chapter 8. War Faster Than the Speed of Thought

In World War II, the cycle from intelligence collection to bombing took six months. In the Iraq invasion, target identification required 2,000 intelligence personnel. In the 2026 Iran operation, 20 were sufficient for the same task. The Guardian described the speed of this operation as "faster than the speed of thought."

This is the core paradox of AI warfare. When machines wage war at speeds that exceed human judgment, what meaning does human control retain?

Former Pentagon autonomous weapons policy director Paul Scharre warns: "As militaries integrate AI and autonomy more deeply throughout the force, the speed of combat action may reach a tipping point that is too fast for humans to respond." A West Point hypothetical scenario illustrates this starkly: an AI-equipped MQ-9 Reaper drone detects enemy combatants and gives the operator 15 seconds, but while the operator is still deliberating at the 3-second mark, the drone autonomously engages and kills 6 non-combatants.

Automation bias is an even more serious problem. Research shows that people tend to defer to computer-generated decisions over their own evidence and perception. In war simulations, AI models escalated to the nuclear option in 95% of Cold War-style nuclear crisis scenarios, rarely choosing de-escalation. Chinese military analyst Chen Hanghui envisions a "battlefield singularity" where machines make decisions at speeds humans cannot follow.

Secretary of Defense Hegseth announced an "AI-first warfighting force" strategy in January 2026, mandating that frontier AI models be deployed to soldiers within 30 days of public release and requiring autonomous drone swarm demonstrations. In a world where 900 airstrikes are possible in the first 12 hours, the time available for diplomatic de-escalation is evaporating.

Chapter 9. Gunpowder, Nuclear Weapons, and AI — The Third Revolution in Warfare

In 2020, a Turkish Kargu-2 drone conducted the first autonomous engagement against humans in Libya. In Nagorno-Karabakh, drones accounted for 45% of all targets destroyed. In 2021, Israel declared the Gaza operation "the first AI war." In Ukraine, both sides experimented with large-scale drone warfare and AI navigation. Each conflict represents a step-function increase in AI autonomy, speed, and centrality.

Libya (single autonomous drone) → Nagorno-Karabakh (drone-led victory) → Ukraine (large-scale drone warfare) → Gaza (AI-generated kill lists) → 2025 Twelve-Day War (full-domain AI integration) → 2026 Iran operation (the first full-scale war where LLMs were deployed in the kill chain).

In 2015, over 3,000 experts including Stephen Hawking and Elon Musk warned that lethal autonomous weapons systems could trigger "a third revolution in warfare, on par with the impact of gunpowder and nuclear weapons." The UN Secretary-General and the ICRC President called for a legally binding treaty on autonomous weapons by 2026, but that goal was clearly not achieved. Discussions on lethal autonomous weapons rules in Geneva have been delayed by disagreements among major powers.

The warning of Kissinger and Allison echoes: "No major power in history has ever refrained from developing a new technology for its own use, when it feared that a rival might apply that technology to threaten its survival and security."