Thesis
The Taiwan Strait crisis is rapidly becoming the most consequential stress test of modern Command and Control and Air Battle Management (C2ABM). It is not simply a question of how quickly a force can sense and respond, but whether it can sustain coherent decision-making under persistent ambiguity, contested communications, coalition friction, and aging infrastructure. AI-enabled decision support is a necessary modernization effort to cope with growing sensor volume and shrinking decision timelines, but meaningful integration into leading-edge C2ABM forces is unlikely in the near term. Compounding this gap is the reality that tactical air battle management platforms such as the E-3 Airborne Warning and Control System (AWACS) and Control and Reporting Centers (CRCs) remain capable and combat-proven but are increasingly constrained by aging architectures and delayed recapitalization. Meanwhile, the People’s Liberation Army (PLA) modernizes its Airborne Early Warning and Control (AEW&C) aircraft and networked command-and-control systems, such as the KJ-500. Unlike the E-3, the PLA’s KJ-500 fleet is purpose-built for integration into China’s broader integrated joint operations architecture, linking airborne early warning, long-range fires, and maritime forces into a networked command construct designed for operations inside the First Island Chain. While U.S. recapitalization proceeds incrementally, the PLA has fielded multiple modern AEW&C variants in parallel, narrowing the qualitative gap in airborne air battle management capacity.
The operational consequences of weak air battle management are not theoretical. The stalemate in the Russia–Ukraine war, in which neither side has achieved sustained air superiority, illustrates the cost of insufficiently integrated air battle management. In contrast, the vast Indo-Pacific will not tolerate such inefficiencies. The tyranny of distance demands robust, distributed C2ABM to synchronize sensors, shooters, and coalition partners under fire.
Introduction: Ukraine’s Lesson, Taiwan’s Warning
Ukraine is often discussed as a land war shaped by artillery, small unmanned aerial systems (sUAV) or drones, and attrition. That is true, but it is also a war defined by the absence of decisive air superiority. Despite enormous investment in aircraft, air defenses, and long-range fires, neither Russia nor Ukraine has been able to establish persistent air dominance. RAND’s assessment highlights that the conflict’s air domain has been shaped by survivability constraints and robust air defense, forcing both sides into standoff tactics and limiting airpower’s ability to produce operational breakthroughs.
This matters because it exposes an uncomfortable reality: airpower does not become decisive simply because aircraft exist. It becomes decisive when the force can prioritize threats, manage airspace, dynamically re-task assets, and compress sensor-to-shooter timelines. Those functions are not peripheral. They are air battle management.
Ukraine illustrates what happens when airpower is constrained to episodic sorties rather than to coherent air campaigning. The air domain becomes a contest of risk avoidance, missile volleys, and tactical adaptation. It becomes survivable, but not decisive. Robust ground-based air defenses, limited persistent integration of airborne air battle management, and the absence of a secure, scalable sensor-to-shooter network prevented either side from sustaining coordinated offensive air operations at scale.
Taiwan presents a future environment where those same dynamics will be magnified, not reduced. China’s persistent joint air and naval activities around Taiwan increasingly resemble a continuous coercive campaign rather than isolated crisis spikes. This environment is deliberately designed to produce fatigue, hesitation, and political friction by forcing defenders to remain constantly reactive.
Unlike Ukraine, the Indo-Pacific is defined by scale—but not symmetrically. For Beijing, Taiwan sits just across a narrow strait. For the United States and potential coalition partners, it lies within a vast maritime theater shaped by extended lines of communication, dispersed basing, and strategic depth measured in thousands of miles. The Pacific does not reward forces that merely fight well tactically; it rewards those that can orchestrate effects across distance, synchronize distributed assets, and sustain coherence over extended supply chains and contested approaches.
If air superiority is to be achieved in the Pacific, it will be enabled by resilient air battle management—not by exquisite aircraft alone. Taiwan should not be viewed simply as a contingency; it should sound a warning about what might happen when C2ABM modernization lags behind operational reality.
Legacy C2ABM: An Aging Backbone in a New Era
The United States has long depended on a familiar air battle management backbone: the Boeing E-3 Sentry AWACS in the air, and CRCs on the ground. For decades, these systems provided a decisive advantage. They fused the picture. They controlled the fight. They enabled air superiority. But those systems were built for a different era.
The Mitchell Institute, in a policy paper led by Lt Gen David A. Deptula, notes that the Air Force has only 16 E-3 AWACS aircraft remaining and that it remains the only dedicated U.S. airborne air battle management platform performing that mission at scale. The paper emphasizes that the fleet has not been recapitalized since the 1970s and faces increasing risk as sustainment challenges and threat sophistication grow.
That shortfall is not just a “platform problem.” It is a strategic enabler problem. Taiwan is precisely the kind of fight where air battle management capacity will determine whether sensors and shooters can be synchronized at all. The E-3, while still valuable, is increasingly a high-demand, low-density asset operating inside an adversary’s targeting ecosystem.
A second Mitchell Institute Forum paper reinforces this point more broadly: air superiority in peer conflict is at risk without modern enabling systems, and the C2 and air battle management layer must be treated as foundational rather than supporting. This is a key point for the Indo-Pacific. Fighters do not achieve air superiority on their own in a near-peer fight. They create air superiority when they are orchestrated, prioritized, and re-tasked fast enough to stay ahead of the adversary’s tempo.
In the Pacific’s vast distances, air battle management is not merely helpful. It is existential.
The Taiwan Air Picture: The Problem Is Not Detection, It Is Interpretation
Taiwan’s air environment is not defined by a single sortie or a single missile launch. It is defined by constant contact—a persistent stream of aircraft, ships, electronic warfare activity, and signaling behavior designed to impose decision strain. The air picture is crowded, but the more dangerous reality is its ambiguity.
Chinese sorties may be routine, coercive, or preparatory. Missile movements may be exercises or real. Maritime posture may serve as deterrence signaling or as preparation and rehearsal for a blockade. In this environment, air domain awareness shifts from tracking aircraft to interpreting intent, under time pressure and with imperfect information.
China’s broader operational approach appears increasingly designed to blur the transition between peace and conflict, creating a continuous coercive framework rather than a binary escalation ladder. It is not simply military activity. It is psychological conditioning.
Ukraine demonstrates what happens when air battle management cannot impose coherence across a contested battlespace. The conflict becomes survivable, but not decisive. Tactical victories occur, but operational dominance does not. RAND’s analysis highlights how air defense, survivability concerns, and the inability to achieve sustained air superiority shaped the air contest.
Yet survivability alone should not be dismissed. In Ukraine, the early denial of Russia’s initial objectives, particularly the goal of regime change in Kyiv, fundamentally altered the war’s strategic trajectory. Protraction imposed political, economic, and reputational costs on Moscow, reshaping global alignments. In that sense, preventing rapid victory proved strategically meaningful, even absent decisive operational dominance.
Taiwan raises a harder question: would denying Beijing a quick victory be sufficient? It might be. Protracted conflict could erode political will, increase international costs, and complicate Chinese strategic aims. But the caveat is severe. Unlike Ukraine, Taiwan is an island roughly 100 miles from mainland China. Sustaining protraction in that geography would demand resilient air battle management capable not merely of survival, but of preserving access, sustaining resupply, and preventing isolation. In the Indo-Pacific context, survivability without orchestration risks becoming isolation.
Taiwan presents a different, and in some respects more compressed, problem. The theater is maritime rather than continental. The adversary operates from its immediate periphery rather than extended lines of advance. The threat is deeply integrated across air, maritime, missile, cyber, and space domains. And the escalation ladder is shorter, with major-power confrontation embedded from the outset.
This is not to suggest that maintaining Taiwanese self-rule is inherently “more important” than preventing Russian aggression in Europe. Both are consequential for regional stability and global norms. The difference lies in structure, not moral weight. Taiwan sits approximately 100 miles from mainland China, inside the core defensive belt of a peer nuclear power. That proximity compresses warning timelines, complicates reinforcement, and raises the strategic cost of miscalculation. In such an environment, air battle management failures would not simply produce tactical setbacks; they could trigger rapid escalation between major powers.
Distributed C2: Required for Survival, Punishing for Coherence
Modern doctrine calls for centralized command, distributed control, and decentralized execution. Taiwan will enforce that model whether we prefer it or not.
The PLA’s Anti-Access/Area Denial (A2/AD) architecture is specifically designed to disrupt centralized nodes: airborne sensors, fixed fusion centers, high-value command aircraft, and long-haul communications. In such an environment, centralized control becomes brittle. Distributed C2 becomes the only survivable option. But distributed C2 is not free. It introduces friction:
- competing ISR inputs across nodes
- fragmented coalition data-sharing
- intermittent connectivity
- parallel decision-making that can undermine unity of effort
In practice, this could mean parallel intercept decisions generated by separate nodes without shared prioritization logic, assets pulled in competing directions, or delayed engagement authority as coalition partners reconcile national rules of engagement. Distribution preserves survivability, but without disciplined coherence, it risks creating multiple local pictures rather than a unified operational picture.
Legacy systems will struggle in this environment. C2ABM platforms rely on stable links and assume continuity of data flow. The more contested the environment becomes, the more those assumptions collapse. Taiwan, therefore, forces a doctrinal and architectural truth: survivability demands distribution, but distribution without coherence creates fragmentation. Future C2ABM must solve both problems simultaneously.
AI: Necessary, Overhyped, and Unlikely to Reach the Leading Edge Soon
AI is routinely described as the next decisive leap in C2ABM. The promise is seductive: compress decision timelines, triage threats at machine speed, generate multiple courses of action instantly, and provide commanders with a real-time menu of options.
There is evidence that some of this is achievable in controlled environments. Reporting on Air Force experiments indicates that AI tools outperformed human planners in certain air battle management scenarios, rapidly generating viable courses of action with consistent results. But these tools have never been integrated into currently fielded C2ABM systems, and Taiwan is not a controlled environment. It is a contested, deceptive, escalation-sensitive environment, the worst possible place to expect clean data and AI performance.
AI-enabled air battle management depends on conditions that China will seek to destroy in a Taiwan fight systematically:
First: Data Integrity
AI depends on reliable inputs. Taiwan will be defined by spoofing, electronic warfare, cyber disruption, and deliberate deception. Garbage data does not produce slightly degraded AI outputs; it produces dangerously confident, plausible, and wrong answers.
Second: Connectivity
AI systems require secure, high-bandwidth, low-latency links. But the leading edge of a Taiwan scenario cannot assume uninterrupted connectivity. Communications will be jammed, degraded, denied, and targeted. AI cannot enable a decision advantage if the network collapses.
Third: Platform Readiness
The platforms most likely to operate at the point of friction, distributed ground nodes, mobile control teams, and coalition command posts, have not been engineered or tested for AI integration at scale. Even if algorithms exist, the hardware, cybersecurity posture, data pipelines, and processing architecture often do not.
This creates a reality that defense futurism often avoids: AI will be important, but it will arrive late at the point of highest friction. It will mature first in rear-area functions: planning, logistics forecasting, pattern recognition, predictive analysis, and decision support. That is useful, but it is not equivalent to frontline air battle management under fire. That said, AI could prove immediately valuable in high-volume missile-raid analysis, sensor-anomaly detection, dynamic fuel and tanker allocation, and probabilistic threat ranking that assists, but does not replace, human judgment. The danger lies not in using AI as augmentation, but in assuming it can substitute for resilient architecture and experienced operators at the point of friction. The leading edge will remain dominated by human judgment, degraded communication, and legacy systems for years to come.
Escalation and Judgment: The Hard Limit AI Cannot Solve
The AI conversation tends to fixate on speed. But Taiwan is not simply a speed problem. It is an escalation problem.
An algorithm can recommend an intercept based on geometry and probability. But only a human commander can assess what that intercept means politically. Taiwan will be a theater in which tactical actions serve as strategic signals. Decisions will be interpreted not only by adversary commanders but by national leaders, allied publics, and global markets.
If an AI-derived recommendation becomes the proximate cause of escalation, it may be politically indefensible regardless of tactical justification. This is why AI must remain subordinate to human judgment in air battle management for the foreseeable future. Taiwan will demand accountability. Machines do not bear accountability. Even if protraction becomes the strategic objective, it will only succeed if air battle management preserves access, sustains resupply corridors, and prevents isolation. Protraction without orchestration is not resilience; it is encirclement delayed.
Coalition Reality: Data Sharing Is Still the Bottleneck
A single unified force will not defend Taiwan. It will involve Taiwan, the United States, and potentially multiple partners with differing rules of engagement (ROE), classification standards, and escalation thresholds. Unlike NATO’s relatively rapid cohesion following Russia’s invasion of Ukraine, Indo-Pacific coalition responses may not align on day zero. Political authorization, basing access, and force contribution decisions could unfold unevenly, placing additional strain on distributed air battle management nodes operating with incomplete coalition integration.
AI thrives on shared datasets and fused information layers. But coalition warfare rarely produces frictionless data exchange. Even in Ukraine, where wartime necessity drove rapid improvisation, integration remained constrained by classification, trust, and system incompatibility.
Ukraine’s Delta situational awareness system is a useful illustration of how digital integration can evolve quickly under pressure, but also highlights that such solutions remain fragile, context-dependent, and shaped by political constraints.
In the Indo-Pacific, the technical challenges will be hard. The political challenges will be harder. The decision loop must survive not only jamming, but coalition hesitation and delayed authorization.
Synthesis: Taiwan Reveals the Future of C2ABM Is Resilience, Not Speed
Taiwan exposes three strategic truths that should shape future C2ABM doctrine:
- Air battle management is increasingly about managing ambiguity, not managing platforms.
- Distributed C2 is required for survivability, but it increases friction that must be deliberately managed.
- AI is necessary for scaling decision support, but contested connectivity, untested architectures, and the political realities of escalation constrain frontline integration.
In other words, the required future state of C2ABM is not simply to be faster. It is to be resilient in the face of ambiguity by treating degraded networks, incomplete data, and coalition friction as expected conditions rather than surprises.
Conclusion: Decisions at the Speed of War
The Taiwan Strait crisis is not hypothetical; it is occurring now. Its operational dynamics expose the limitations of aging C2 infrastructure, the necessity of resilient air battle management under contested conditions, and the slow path from AI experimentation to frontline utility.
In a Taiwan contingency, air battle management failure may precede force failure. The side that preserves its decision architecture longest, under degraded networks, contested space support, and coalition friction, will shape escalation tempo and operational outcome.
Taiwan teaches us that the weapon of the future may not be the missile or the algorithm, but the quality and resilience of decisions made under pressure.
Lt Col Grant “SWAT” Georgulis, USAF, is a Master Air Battle Manager and currently assigned as the Deputy Chief of C2 Inspections as part of the Headquarters NORAD and NORTHCOM Inspector General team. He most recently finished a year-long Air Force National Defense Fellowship at The Mitchell Institute for Aerospace Studies for the academic year 2024-2025. He entered the Air Force in 2007 through the ROTC program at Texas State University–San Marcos. Lt Col Georgulis has served on a combatant command component staff, was an Air Force Weapons School instructor, and graduated from the Naval War College’s College of Naval Command and Staff and Air University’s School of Advanced Air and Space Studies. He previously commanded an E-3G Squadron, the 965 Airborne Air Control Squadron, at Tinker Air Force Base, Oklahoma.
The views expressed are those of the author and do not reflect the official policy or position of the U.S. Air Force, Department of Defense, or U.S. government.
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