

It is becoming increasingly clear that incremental adjustments to current concepts will be insufficient given the severity of the operational challenges confronting the Joint Force.
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This will lead to consistently better decisions faster than any adversary, giving the Joint Force both a decisive advantage in its observation-orientation-decision-action (OODA) cycle and the ability to prevail against system destruction attacks.Ī good JWC must explain how the armed services are expected to exploit technology and organize themselves as a coherent warfighting force, and then how to employ that force to fight and win against a future military near peer. Toward this end, the Joint Force will develop capabilities and platforms optimized for systems warfare, specifically human-machine collaborative battle networks, that leverage AI-enabled autonomy at scale to wage algorithmic operations at near machine speeds. The central idea of a new JWC for systems warfare is that Joint Force efforts should aim to achieve deterrence by denial through fielding new battle networks that operate better and faster than adversary operational systems, and ones that cannot be destroyed like the battle networks used today. The Central Idea: Human-Machine Collaborative Battle Networks and Algorithmic Operations Because the technologies for algorithmic operations are advancing so rapidly and at an ever-accelerating rate, this paper presents only the broad precepts that should shape the concept, rather than specifics. This concept focuses on employing human-machine collaborative battle networks in the 2040 timeframe to guide force development beyond the current future-year defense plan. The purpose of this new concept is to help guide Joint Force doctrinal and programmatic development by describing a vision for human-machine collaborative battle networks waging high-intensity algorithmic operations against an opposing system of systems. Combined arms warfare remains a valid concept, but against a peer adversary with an advanced operational system, it has been rendered subordinate. This concept is now well past its “sell-by date.” Future combat between peer and near-peer adversaries will be characterized, dominated, and decided by the collision of opposing systems of systems assembled to prosecute campaigns in wartime. Since the 1980s, the guiding JWC for combined arms warfare has been AirLand Battle. The next NDS should endorse and complete this important work. To maintain the Joint Forces’ competitive advantage, the 2018 National Defense Strategy (NDS) declared that it must pursue “urgent change at significant scale.” 1Įmbracing the NDS, former Secretary of Defense Mark Esper remarked that “it remains guidepost and drives our decision-making.” 2Īmong the implementation priorities Esper laid out to military secretaries and other top commanders in a January 27, 2020, memo was the need to develop a new Joint Warfighting Concept (JWC) “to align personnel, training and doctrine to win on any battlefield.” 3 Demonstrating the ability of Joint Force battle networks to dominate opposing operational systems under realistic conditions, including system destruction attacks, will substantially achieve deterrence by denial.This new concept will explain how new human-machine collaborative battle networks waging AI-enabled algorithmic operations will give the Joint Force a decided advantage in any future systems confrontation and the ability to defeat system destruction attacks.Joint Force needs a new overarching Joint Warfighting Concept for systems warfare to cope with this emerging reality. An inherent component of these types of “systems confrontations” will be concerted system destruction attacks aimed at disrupting, disabling, and destroying the opposing system of systems.Future combat between peer and near-peer adversaries will be characterized, dominated, and decided by the collision of opposing systems of systems assembled to prosecute campaigns in wartime.Note: This paper is an early, condensed version of a forthcoming longer, more detailed report to be published early in 2021.
