Conventional Deterrence and the U.S. Navy: Why the Future Needs to Happen Now, Pt. II

Read Part One here.

By Adam Taylor

The challenges posed by China’s offensive deterrence paradigm require a new and innovative future force design for the US Navy. China’s deterrence model prizes confrontation and escalation in order to stop its neighbors from pursuing an unwelcome course of action, and, ultimately, force the target of its deterrent behavior to favor Beijing’s interests. This operating environment requires the US Navy to move from a fleet better suited for conventional war to an architecture that can succeed in a traditional great power conflict and countering Chinese deterrent behavior in the grey zone. A closer exploration of the US Navy’s response and involvement in deterring general war and Chinese aggression short of war in a Taiwan scenario demonstrates both the challenges confronting the current fleet and a possible force design roadmap the service can follow moving forward.

Any assessment of this question requires understanding Beijing’s interests in Taiwan and the range of behavior China might pursue to achieve its desired outcomes. In turn, this clarifies both the range of Chinese military behavior American forces must be prepared to deter and defend against, and whether current US force posture in the region meets those demands. Beijing’s most recent defense white paper makes clear that its overwhelming interest in Taiwan remains the islands reunification and incorporation into the PRC polity. China maintains numerous other interests in the island, however, and could employ a variety of deterrent stratagems to prevent Taiwan from pursuing various political ends at odds with Beijing’s preferences. Examples of China’s other interests could include deterring or reversing a “declaration of independence;” preventing Taiwan from developing nuclear weapons; compelling the abandonment of a military access agreement to US forces; deterring Taiwan’s electorate from pursuing an “independence-minded” course or influencing its electorate not to support candidates favoring such a course; compelling Taiwan to abandon sovereignty claims in the East China Sea (ECS); and forcing Taiwan to accept reunification.

Past examples of Chinese military action provide context for when the PRC will employ deterrent measures in response to developments within Taiwan and the form of force it will use.

Notable Security Events in Cross-Strait Relationship

Historical Event Year(s) Circumstances US Response Notes
First Taiwan Strait Crisis 1954 PRC bombs Taiwan’s islands of Quemoy, Dachen, and Mazu. The US signs mutual defense treaty with Taiwan. Taiwan maintains Quemoy and Mazu islands. China gains Dachen island.
Second Taiwan Strait Crisis 1958 PRC bombs Quemoy and Mazu and establishes blockade around Quemoy to compel Taiwan to abandon claim to Quemoy. US Navy escorts Taiwan’s resupply ships to Quemoy, breaking PRC blockade of island. US publicly commits to defense of Quemoy. Taiwan renounces use of force to retake Chinese mainland. China frames crisis as an “internal affair,” and uses the conflict to exacerbate relations between US and Taiwan.
Third Taiwan Strait Crisis 1995-1996 PRC conducts show of force exercises and missile tests near Taiwan in response to US policy toward Taiwan and public support in Taiwan for pro-independence regime. The US deploys two carrier battle groups to the Taiwan Strait. The US publicly and explicitly states it does not support Taiwan’s independence. US’ conventional deterrent response assured throughout region.
ECS ADIZ Establishment 2013 China establishes ADIZ outside accepted international legal norms. ADIZ contests Japan and Taiwan’s sovereignty claims to same airspace and islands in ECS. America labels ADIZ establishment as “unilateral change to the status quo.” US continues flight operations through China’s ADIZ in ECS.
Island Encirclement Drills 2016 PRC begins regular PLAN and PLAAF exercises around Taiwan to “protect China’s sovereignty.” Exercises occur following election of pro-independence president, Tsai Ing-wen. US officials condemn exercises. American forces support Taiwan defense force freedom of navigation operations. Encirclement drills ongoing.

Both the Second and Third Taiwan Strait Crises demonstrate that Beijing would resort to abnormal levels of conventional hostility and force to compel Taiwan to abandon its ECS territorial claims or to express its displeasure with political developments that threaten the prospective reunification of Taiwan with China. Beijing’s ADIZ establishment and encirclement drills illustrate that it also relies on related, albeit less pronounced, compellent measures to further its sovereignty claims over Taiwan. These security developments demonstrate the expanding depth of China’s conventional deterrent policy tool kit and the range of scenarios US forces must be equipped to deter.

The PRC’s growing military capabilities also complicate any response to Chinese belligerence towards Taiwan. China now possesses the largest navy in the world, and, per the most recent Department of Defense report on Chinese military power, maintains the largest number of aviation forces in the Asia-Pacific as well as a growing inventory of conventional missiles. While force size alone does not determine the military balance, these developments suggest Beijing now has access to a broader range of tools to advance its goals in the cross-strait relationship.

Given available knowledge about China’s deterrence practices and its forces’ composition and disposition, it becomes possible to create a spectrum of behavior that the joint force must be able to effectively deter in a Taiwan scenario. The figure below highlights this spectrum. The top half of the spectrum illustrates a range of events in Taiwan that the Chinese would utilize varying levels of force to deter. These events are extrapolated from understanding China’s general interests in Taiwan. Each event ranges from least to most threatening Beijing’s interests in Taiwan. The bottom half highlights possible compellent behavior China can pursue to deter events on the top half of the spectrum. The compellent force arrow demonstrates that left to right movement across the spectrum will lead to increasing levels of Chinese deterrent force against Taiwan. While there remains a correlation between Taiwan’s escalatory behavior and increasing Chinese deterrent force as one moves across the spectrum, this does not mean Beijing would not utilize lower levels of compellent force in response to an escalatory event along the spectrum. More important, however, the spectrum illustrates those scenarios when the Navy’s contributions to the joint force’s conventional deterrence posture would be tested. A closer look at the Navy’s ability to support operations aimed at stopping China from deterring Taiwan from policies that lead to de facto independence demonstrate the challenges confronting the service now and in the future.

China’s Spectrum of Conventional Deterrence Measures (Click to Expand)

China Deters Taiwan from Policies that Lead to de-facto Independence

The Third Taiwan Strait Crisis highlights Beijing’s use of military exercises and shows of force that target domestic developments within Taiwan or compel the US to change its policy towards the island. One can see similar circumstances unfold again should the people of Taiwan continue to elect pro-independence minded politicians or publicly support policies that Beijing might consider measures of de-facto independence, such as signing an access agreement for US forces or codifying policy that contradicts the “one China, two systems” policy. The spectrum of behavior suggests that China would resort to intense forms of hostility short of war. America would also likely pressure Taiwan’s leadership to stop such pronouncements for fear of conventional Chinese escalation. It may therefore seem misguided to only examine the utility of America’s current force composition and disposition to deter China’s use of military exercises, considering the seeming mismatch between the implications of outlined provocative domestic political behavior in Taiwan and the range of Chinese behavior. This question remains important, however, given the ability of China to use similar methods against other states in the region pursuing policies at odds with Beijing’s political goals.

In the last Taiwan Strait Crisis, America sailed two aircraft carriers through the strait to communicate America’s resolve to protect Taiwan. Would the threat of a similar response today meaningfully curtail Chinese military exercises or shows of force? Can the threat of sending US warships to signal resolve with Taiwan communicate to Beijing it should reconsider its course of action? Not anymore. Chinese forces today are both quantitatively and qualitatively superior to their forebears, and while they continue to be qualitatively inferior to their American counterparts, they now have the means to effectively engage US vessels. The declining capability gap found between American and Chinese platforms means the deterrent threat posed by current US forces has decreased. Furthermore, it remains a serious logistic, maintenance, and human endeavor to keep America’s highly capable ships at sea consistently and long enough. These conditions make America’s assortment of large platforms not always suited for the passive everyday presence necessary to reassure Taiwan and needed to communicate to the PRC the ability to impose costs should conflict arise.

This dilemma speaks to the issues confronting the composition of the current USN fleet. While aircraft carriers and other large surface combatants possess incredible capabilities and maintain deterrent utility, their size and relative paucity in number make them susceptible to a variety of China’s anti-access/area denial (A2/AD) threats and difficult to replace should conflict occur. In the words of one US naval professional, “our fleet is too small, and our capabilities are stacked on too few ships that are too big.” Beijing recognizes the operational problem this poses for US military leaders. In turn, this likely informs how China would view the presence of American aircraft carriers or other large platforms in the Taiwan Straits in response to a military show of force exercise. Chinese leaders may view the presence of such platforms as provocative and an important reminder of the force America can bring to bear in a general conflict, but not necessarily an incentive to stop its aggressive behavior. This represents an important consideration for leaders in Washington as they consider the many requests from allies and combatant commanders for the presence of carriers and America’s larger surface combatants in their respective territory or area of operations.  

This scenario raises important questions about the utility of the Navy’s current fleet architecture and the service’s future force design goals. These issues led Department of Defense (DoD) leaders to commission a series of force design studies from the Office of Cost Assessment and Program Evaluation (CAPE), the Hudson Institute, and within the Office of the Secretary of Defense to inform their future force design proposal. Together, these studies influenced the Navy’s Battle Force 2045 future force design proposal. While details surrounding the CAPE study remain unavailable to the public, both the Hudson Institute and Battle Force 2045 proposals highlight the direction DoD will take the future fleet.

Unfortunately, Battle Force 2045 falls short of the service’s actual needs because it makes a series of unrealistic assumptions about DoD’s future financial resources and Congress. While this proposal has received much time and attention elsewhere, its shortcomings deserve brief consideration. Two notable issues include the costs associated with a 500-ship fleet and the politics associated with platform divestment decisions. Despite a historically high budget in fiscal year (FY)20, the navy’s current fleet of 300 ships accounts for roughly half its size in FY85. This suggests that maintaining the current force is increasingly expensive relative to previous years and will limit any increase in fleet size. Many legislators will also resist stopping procurement of existing platforms built in their districts and naval leadership would also need to engage in a parochial struggle over which platforms to cut. These and many other issues will limit the ability of the Navy, Congress, and defense enterprise from quickly achieving the consensus needed to build the future fleet the Navy needs.

A Better Fleet

 Navy and DoD leaders can take important steps now, however,  to ensure the service will succeed as a conventional deterrent in both the near and long term. Some of these steps include:

Reduce the advantage of China’s local balance of forces. China’s quantitative force advantage in the region means it will likely maintain and increase its ability to field a larger force in any future contingency within the first island chain. This balance of forces allows it to quickly mass its forces and complicate any US or combined response to conventional Chinese aggression. States who remain possible objects of Beijing’s aggression like Taiwan, the Philippines, or Vietnam will likely need to confront Chinese forces in response to malign conventional behavior short of war or in the initial stages of any deterrent action with limited US support. These states can mitigate the Beijing’s balance of forces advantage by increasing the deterrent utility of their security forces. America can support this goal by both increasing its arms sales to these nations and facilitating greater training opportunities designed to qualitatively improve partners’ capabilities. Although the China will likely view such a strategy as antagonistic, it provides a cost-effective way for the US to increase the deterrent capability of its partners.

Incorporate cheaper and more expendable platforms. America’s high end warfighting platforms do not always provide the best deterrent response options because they remain expensive to employ, costly to replace, and potentially vulnerable to the threats posed by China’s well developed A2/AD capabilities. Beijing can use these considerations to pursue courses of action that advance its interests while reducing the passive threat posed by US forces in the Asia-Pacific. America could respond to this dilemma by trying to increase the number of high-end ships in its fleet, but this approach remains unsustainable. Both the Congressional Budget Office and Congressional Research Service recently concluded that the cost of maintaining a 355-ship fleet (let alone 500 ships) over 30 years would exceed the cost of purchasing new ships. This crowding out effect could prove disastrous for future US defense planners who want to field new generations of technology across the feet or build newer ships. While the Biden administration’s recently released “skinny budget” and comments from the current Chairman of the Joint Chiefs of Staff suggest a future naval shipbuilding boon, it remains difficult to assess if this thinking maintains long-term political support if it leads to cuts from the other services’ toplines.

The Navy can mitigate this issue by divesting from legacy platforms today and reinvesting those savings into research and development projects that increase the capability of platforms currently in service and into cheaper and more expendable platforms. Although this modernization window may provide Beijing an opportunity to act, it would provide the service with the investment needed to ensure long-term success.

While these cheaper ships would likely not have the individual capability of other platforms found throughout the fleet, they could provide the means to place a limited suite of capabilities on highly survivable platforms. These platforms, in turn, would be able to operate in A2/AD environments within zones of contention for longer periods of time and would be more easily replaced. Such ships would provide a credible denial deterrence capability by reducing China’s quantitative balance of forces advantage and increasing the qualitative ability of the deterrent response from the US and its partners.

Reconsider offset strategies to bridge the gap between the present and future. The Third Offset Strategy first introduced under the Obama administration provides a possible near term solution that can meet this goal. This initiative prioritized investments in projects like laser weapons that could shoot down enemy missiles at a fraction of the cost of current missile defense systems; modifying traditional cannon to fire guided hyper velocity projectiles; and investment in increasing the range of the navy’s Tomahawk missiles or the payloads of its submarines by decreasing procurement of more ships. While this would sacrifice procurement and acquisition of some platforms in the near term, it could lead to savings the Department of Defense needs to invest in cutting-edge technologies. These investments would also mitigate vulnerabilities associated with any modernization window. Many of these technologies would increase the operational reach and efficacy of existing platforms, which, in turn, may increase the deterrent utility of the fleet in the near-term and better posture the service to field more deterrent and defense credible ships in the future.

Beijing’s competitive deterrence model has led it to fashion a force that targets the vulnerabilities found within the Navy’s existing fleet, which is why the Navy cannot afford to double down on a losing force design like Battle Force 2045. Instead, service leadership must be willing to make difficult decisions today that prioritize divestment from legacy platforms and investment into future platforms and technologies that ensure America can field qualitatively superior platforms at scale that are able to deter China across the spectrum of competition.

Adam Taylor recently separated from the Marine Corps where he served four years as an air support control officer and is now in the Individual Ready Reserve. He currently works as a fellow in Congress and received his M.A. in international relations from American University’s School of International Service. The opinions expressed here are his own and do not reflect any institutional position of the Marine Corps, Department of the Navy, Department of Defense, or Member of Congress.

Featured Image: China’s first aircraft carrier, the Liaoning, leaves after wrapping up a five-day visit to the Hong Kong Special Administrative Region (SAR), south China, July 11, 2017. A departure ceremony was held at the Ngong Shuen Chau Barracks of the People’s Liberation Army (PLA) Hong Kong Garrison by the HKSAR government. (Photo via Xinhua/Zeng Tao)

Winning The AI-Enabled War-at-Sea

By Dr. Peter Layton

Artificial intelligence (AI) technology is suddenly important to military forces. Not yet an arms race, today’s competition is more in terms of an experimentation race with many AI systems being tested and new research centers established. There may be a considerable first-mover advantage to the country that first understands AI adequately enough to change its existing human-centered force structures and embrace AI warfighting.

In a new Joint Studies Paper, I explore sea, land and air operational concepts appropriate to fighting near-to-medium term future AI-enabled wars. With much of the underlying narrow AI technology already developed in the commercial sector, this is less of a speculative exercise than might be assumed. Moreover, the contemporary AI’s general-purpose nature means its initial employment will be within existing operational level constructs, not wholly new ones.

Here, the focus is the sea domain. The operational concepts mooted are simply meant to stimulate thought about the future and how to prepare for it. In being so aimed, the concepts are deliberately constrained; crucially they are not joint or combined. In all this, it is important to remember that AI enlivens other technologies. AI is not a stand-alone actor, rather it works in the combination with numerous other digital technologies. It provides a form of cognition to these.

AI Overview

In the near-to-medium term, AI’s principal attraction is its ability to quickly identify patterns and detect items hidden within very large data troves. The principal consequence of this is that AI will make it much easier to detect, localize and identity objects across the battlespace. Hiding will become increasingly difficult. However, AI is not perfect. It has well known problems in being able to be fooled, in being brittle, being unable to transfer knowledge gained in one task to another and being dependent on data.

AI’s warfighting principal utility then becomes ‘find and fool’. AI with its machine learning is excellent at finding items hidden within a high clutter background. In this role AI is better than humans and tremendously faster. On the other hand, AI can be fooled through various means. AI’s great finding capabilities lack robustness.

A broad generic overview is useful to set the scene. The ‘find’ starting point is placing a large number of low cost Internet of Things (IoT) sensors in the optimum land, sea, air, space and cyber locations in the areas across which hostile forces may transit. From these sensors, a deep understanding can be gained of the undersea terrain, sea conditions, physical environment and local virtual milieu. Having this background data accelerates AI’s detection of any changes and, in particular, of the movement of military forces across it.

The fixed and mobile IoT edge-computing sensors are connected into a robust cloud to reliably feed data back into remote command support systems. The command system’s well-trained AI could then very rapidly filter out the important information from the background clutter. Using this, AI can then forecast adversary actions and predict optimum own force employment and its combat effectiveness. Hostile forces geolocated by AI can, after approval by human commanders, be quickly engaged using indirect fire including long-range missiles. Such an approach can engage close or deep targets; the key issues being data on the targets and the availability of suitable range firepower. The result is that the defended area quickly becomes a no-go zone.

To support the ‘fool’ function, Uncrewed Vehicles (UV) could be deployed across the battlespace equipped with a variety of electronic systems suitable for the Counter Intelligence Surveillance And Reconnaissance And Targeting (C-ISRT) task. The intent is to defeat the adversary’s AI ‘find’ capabilities. Made mobile through AI, these UVs will be harder for an enemy to destroy than fixed jammers would be. Moreover, mobile UVs can be risked and sent close in to approaching hostile forces to maximize jamming effectiveness. Such vehicles could also play a key role in deception, creating a false and misleading impression of the battlefield to the adversary. Imagine a battlespace where there are a thousand ‘valid’ targets, only a few of which are real.

A War-at-Sea Defense Concept

Defense is the more difficult tactical problem during a war-at-sea. Its intent is solely to gain tactical time for an effective attack or counterattack. Wayne Hughes goes as far in his seminal work to declare that: “All fleet operations based on defensive tactics…are conceptually deficient.”1  The AI-enabled battlefield may soften this assertion.

Accurately determining where hostile ships are in the vast ocean battlefields has traditionally been difficult. A great constant of such reconnaissance is that there never seems to be enough. However, against this, a great trend since the early 20th century is that maritime surveillance and reconnaissance technology is steadily improving. The focus is now not on collecting information but on improving the processing of the large troves of surveillance and reconnaissance data collected.2 Finding the warship ‘needle’ in the sea ‘haystack’ is becoming easier. 

The earlier generic ‘find’ concept envisaged a large distributed IoT sensor field. Such a concept is becoming possible in the maritime domain given AI and associated technology developments.

DARPA’s Ocean of Things (OoT) program aims to achieve maritime situational awareness over large ocean areas through deploying thousands of small, low-cost floats that form a distributed sensor network. Each smart float will have a suite of commercially available sensors to collect environmental and activity data; the later function involves automatically detecting, tracking and identifying nearby ships and – potentially – close aircraft traffic. The floats use edge processing with detection algorithms and then transmit the semi-processed data periodically via the Iridium satellite constellation to a cloud network for on-shore storage. AI machine learning then combs through this sparse data in real time to uncover hidden insights. The floats are environmentally friendly, have a life of around a year and in buys of 50,000 have a unit cost of about US$500 each. DARPA’s OoT shows what is feasible using AI.

In addition to floats, there are numerous other low-cost AI-enabled mobile devices that could noticeably expand maritime situational awareness including: the EMILY Hurricane Trackers, Ocean Aero Intelligent Autonomous Marine Vehicles, Seaglider Autonomous Underwater Vehicles, Liquid Robotics Wave Gliders and Australia’s Ocius Technology Bluebottles.

In addition to mobile low-cost autonomous devices plying the seas there is an increasing number of smallsats being launched by governments and commercial companies into low earth orbit to form large constellations. Most of these will use AI and edge computing; some will have sensors able to detect naval vessels visually or electronically.

All this data from new sources can be combined with that from the existing large array of traditional maritime surveillance systems. The latest system into service is the long-endurance MQ-4C Triton uncrewed aerial vehicle with detection capabilities able to be enhanced through retrofitting AI. The next advance may be the USN’s proposed 8000km range, AI-enabled Medium Unmanned Surface Vessel (MUSV) which could cruise autonomously at sea for two months with a surveillance payload.

With so many current and emerging maritime surveillance systems, the idea of a digital ocean is becoming practical. This concept envisages the data from thousands of persistent and mobile sensors being processed by AI, analyzed though machine learning and then fused into a detailed ocean-spanning three-dimensional comprehensive picture. Oceans remain large expanses making this a difficult challenge. However, a detailed near-real time digital model of smaller spaces such as enclosed waters like the South China Sea, national littoral zones or limited ocean areas of specific import appears practical using current and near-term technology.

Being able to create a digital ocean model may prove revolutionary. William Williamson of the USN Naval Postgraduate School declares: “On the ‘observable ocean’, the Navy must assume that every combatant will be trackable, with position updates occurring many times per day. …the Navy will have lost the advantages of invisibility, uncertainty, and surprise. …Vessels will be observable in port…[with] the time of departure known to within hours or even minutes. This is true for submarines as well as for surface ships.”3

This means that in a future major conflict, the default assessment by each warship’s captain might be that the adversary probably knows the ship’s location. Defense then moves from being “conceptually deficient” to being the foundation of all naval tactics in an AI-enabled battlespace. The emerging AI-enabled maritime surveillance system of systems will potentially radically change traditional war-at-sea thinking. The ‘attack effectively first’ mantra may need to be rewritten to ‘defend effectively first.’

The digital, ‘observable ocean’ will ensure warships are aware of approaching hostile warships and a consequent increasing risk of attack. In this addressing this, three broad alternative ways for the point defense of a naval task group might be considered.

Firstly, warships might cluster together, so as to concentrate their defensive capabilities and avoid any single ship being overwhelmed by a large multi-axis, multi-missile attack. In this, AI-enabled ship-borne radars and sensors will be able to better track incoming missiles amongst the background clutter. Moreover, AI-enabled command systems will be able to much more rapidly prioritize and undertake missile engagements. In addition, nearby AI-enabled uncrewed surface vessels may switch on active illuminator radars, allowing crewed surface combatants to receive reflections to create fire control-quality tracks. The speed and complexity of the attacks will probably mean that human-on-the-loop is the generally preferred AI-enabled ship weapon system control, switching to human-out-of-the-loop as numbers of incoming missiles rise or hypersonic missiles are faced.

Secondly, instead of clustering, warships might scatter so that an attack against one will not endanger others. Crucially, modern technology now allows dispersed ships to fight together as a single package. The ‘distributed lethality’ concept envisages distant warships sharing precise radar tracking data across a digital network, although there are issues of data latency that limit how far apart the ships sharing data for this purpose can be. An important driver of the ‘distributed lethality’ concept is to make adversary targeting more difficult. With the digital ocean, this driver may be becoming moot.

Thirdly, the defense in depth construct offers new potential through becoming AI-enabled, particularly when defending against submarines although the basic ideas also have value against surface warship threats. In areas submarines may transit through, stationary relocatable sensors like the USN’s Transformational Reliable Acoustic Path System could be employed backed up by unpowered, long endurance gliders towing passive arrays. These passive sonars would use automated target recognition algorithms supported by AI machine learning to identify specific underwater or surface contacts.

Closer to the friendly fleet, autonomous MUSVs could use low-frequency active variable depth sonars supplemented by medium-sized uncrewed underwater vehicles (UUV) with passive sonar arrays. Surface warships or the MUSVs could further deploy small UUVs carrying active multistatic acoustic coherent sensors already fielded in expendable sonobuoys. Warships could employ passive sonars to avoid counter-detection and take advantage of multistatic returns from the active variable depth sonars deployed by MUSVs.

Fool Function. The “digital ocean” significantly increases the importance of deception and confusion operations. This ‘fool’ function of AI may become as vital as the ‘find’ function, especially in the defense. In the war-at-sea, the multiple AI-enabled systems deployed across the battlespace offer numerous possibilities for fooling the adversary.

Deception involves reinforcing the perceptions or expectations of an adversary commander and then doing something else. In this, multiple false cues will need seeding as some clues will be missed by the adversary and having more than one will only add to the deception’s credibility. For example, a number of uncrewed surface vessels could set sail as the warship leaves port, all actively transmitting a noisy facsimile of the warships electronic or acoustic signature. The digital ocean may then suggest to the commander multiple identical warships are at sea, creating some uncertainty as to which is real or not.

In terms of confusion, the intent might be not to avoid detection as this might be very difficult but instead prevent an adversary from classifying vessels detected as warships or identifying them as a specific class of warship. This might be done using some of the large array of AI-enabled floaters, gliders, autonomous devices, underwater vehicles and uncrewed surface vessels to considerably confuse the digital ocean picture. The aim would be to change the empty oceans – or at least the operational area – into a seemingly crowded, cluttered, confusing environment where detecting and tracking the real sought-after warships was problematic and at best fleeting. If AI can find targets, AI can also obscure them.

A War-at-Sea Offense Concept

In a conflict where both sides are employing AI-enabled ‘fool’ systems, targeting adversary warships may become problematic. The ‘attack effectively first’ mantra may evolve to simply ‘attack effectively.’ Missiles that miss represent a significant loss of the task group’s or fleet’s net combat power, and take a considerable time to be replaced. Several alternatives may be viable.

In a coordinated attack, the offence might use a mix of crewed and uncrewed vessels. One option is to use three ship types: a large, well-defended crewed ship that carries considerable numbers of various types of long-range missiles but which remains remote to the high-threat areas; a smaller crewed warship pushed forward into the area where adversary ships are believed to be both for reconnaissance and to provide targeting for the larger ship’s long-range missiles; and an uncrewed stealthy ship operating still further forward in the highest risk area primarily collecting crucial time-sensitive intelligence and passing this back through the smaller crewed warship onto the larger ship in the rear.

The intermediate small crewed vessel can employ elevated or tethered systems and uncrewed communications relay vehicles to receive the information from the forward uncrewed vessel and act as a robust gateway to the fleet tactical grid using resilient communications systems and networks. Moreover, the intermediate smaller crewed vessel in being closer to the uncrewed vessel will be able to control it as the tactical situation requires and, if the context changes, adjust the uncrewed vessel’s mission.

This intermediate ship will probably also have small numbers of missiles available to use in extremis if the backward link to the larger missile ship fails. Assuming communications to all elements of the force will be available in all situations may be unwise. The group of three ships should be network enabled, not network dependent, and this could be achieved by allowing the intermediate ship to be capable of limited independent action.

The coordinated attack option is not a variant of the distributed lethality concept noted earlier. The data being passed from the stealthy uncrewed ship and the intermediate crewed vessel is targeting, not fire control, quality data. The coordinated attack option has only loose integration that is both less technically demanding and more appropriate to operations in an intense electronic warfare environment.

An alternative concept is to have a large crewed vessel at the center of a networked constellation of small and medium-sized uncrewed air, surface and subsurface systems. A large ship offers potential advantages in being able to incorporate advanced power generation to support emerging defensive systems like high energy lasers or rail guns. In this, the large crewed ship would need good survivability features, suitable defensive systems, an excellent command and control system to operate its multitude of diverse uncrewed systems and a high bandwidth communication system linking back to shore-based facilities and data storage services.

The crewed ship could employ mosaic warfare techniques to set up extended kinetic and non-kinetic kill webs through the uncrewed systems to reach the adversary warships. The ship’s combat power is not then in the crewed vessel but principally in its uncrewed systems with their varying levels of autonomy, AI application and edge computing.

The large ship and its associated constellation would effectively be a naval version of the Soviet reconnaissance-strike complex.  An AI-enabled war at sea then might involve dueling constellations, each seeking relative advantage.

Conclusion

The AI-enabled battlespace creates a different war-at-sea. Most obvious are the autonomous systems and vessels made possible by AI and edge computing. The bigger change though may be to finally take the steady scouting improvements of the last 100 years or so to their final conclusion. The age of AI, machine learning, big data, IoT and cloud computing appear set to create the “observable ocean.” From combining these technologies, near-real digital models of the ocean environment can be made that highlight the man-made artefacts present.

The digital ocean means warships could become the prey as much as the hunters. Such a perspective brings a shift in thinking about what the capital ship of the future might be. A recent study noted: “Navy’s next capital ship will not be a ship. It will be the Network of Humans and Machines, the Navy’s new center of gravity, embodying a superior source of combat power.” Tomorrow’s capital ship looks set to be the human-machine teams operating on an AI-enabled battlefield.

Dr. Peter Layton is a Visiting Fellow at the Griffith Asia Institute, Griffith University and an Associate Fellow at the Royal United Services Institute. He has extensive aviation and defense experience and, for his work at the Pentagon on force structure matters, was awarded the US Secretary of Defense’s Exceptional Public Service Medal. He has a doctorate from the University of New South Wales on grand strategy and has taught on the topic at the Eisenhower School. His research interests include grand strategy, national security policies particularly relating to middle powers, defense force structure concepts and the impacts of emerging technology. The author of ‘Grand Strategy’, his posts, articles and papers may be read at: https://peterlayton.academia.edu/research.

Endnotes

1. Wayne P. Hughes and Robert Girrier, Fleet tactics and naval operations, 3rd edn., (Annapolis: Naval Institute Press, 2018), p. 33.

2. Ibid., pp.132, 198.

3. William Williamson, ‘From Battleship to Chess’, USNI Proceedings, Vol. 146/7/1,409, July 2020, https://www.usni.org/magazines/proceedings/2020/july/battleship-chess

Featured image: Graphic highlighting Fleet Cyber Command Watch Floor of the U.S. Navy. (U.S. Navy graphic by Oliver Elijah Wood and PO2 William Sykes/Released)

Sea Control 242 – Selling Seapower with Dr. Ryan Wadle and RDML Paula Dunn

By Jared Samuelson

Author Dr. Ryan Wadle joins the podcast alongside the Navy’s Vice Chief Information Officer, Rear Admiral Paula Dunn, to discuss his book, Selling Seapower: Publication Relations and the U.S. Navy 1917-1941, the Navy’s relationship with the public, the press, and parallels to today.

Sea Control 242 – Selling Seapower with Dr. Ryan Wadle and RDML Paula Dunn

Links

2. Testing American Sea Power: U.S. Navy Strategic Exercises, 1923-1940, by Craig C. Felker, Williams-Ford Texas A&M University Military History, 2013. 

3. To Train the Fleet for War: The U.S. Navy Fleet Problems, 1923-1940, by Albert Nofi, Naval War College Press, 2010.

Jared Samuelson is Co-Host and Executive Producer of the Sea Control podcast. Contact him at [email protected].

Sea Control 241 – The Future of Navy and Marine Corps Learning with John Kroger

By Andrea Howard

John Kroger joins the show to discuss his time as the Navy’s first Chief Learning Officer and what he sees as the future of Navy and Marine Corps education.

Download Sea Control 241 – The Future of Navy and Marine Corps Learning with John Kroger

Andrea Howard is Co-Host of the Sea Control podcast. Contact the podcast team at [email protected].

Fostering the Discussion on Securing the Seas.