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626: ARTIFICIAL INTELLIGENCE IN MODERN WARFARE: OPPORTUNITIES AND CHALLENGES

 

My Article was published on the Indus International Research Foundation Website on 20 Mar 25.

 

In the modern battlefield, timely and accurate information is paramount. Artificial Intelligence (AI) has emerged as a transformative force in various sectors, and its integration into the military is particularly notable. AI’s integration into strategic and tactical decision-making transforms military operations by enabling leaders to anticipate potential threats, optimise resource allocation, and make faster, data-driven decisions. AI rapidly becomes a core tool for enhancing military decision-making, revolutionising strategies, and operational efficiency. It reshapes how military leaders approach battlefield tactics, logistics, and strategic planning through rapid data processing, sophisticated simulations, and predictive analysis. As armed forces worldwide increasingly adopt AI technologies, the implications for strategy, tactics, and operational efficiency are profound. While AI offers unprecedented benefits, its integration in military contexts introduces ethical concerns and strategic challenges that are central to its future role.

 

The Evolution of AI in Military Applications. The military’s interest in AI is not recent; it dates back several decades. The initial exploration of AI technologies in military contexts began in the 1950s and 1960s, focusing on simulations and rudimentary decision support systems. Over the years, advancements in machine learning, data analytics, and computational power have dramatically enhanced the capabilities of AI systems. In the 1960s, AI research focused on symbolic reasoning and game theory, with early applications in strategic simulations. The Cold War era spurred investments in AI research as nations sought technological advantages. The Gulf War in the early 1990s highlighted the importance of information superiority. AI technologies began integrating command and control systems, enabling real-time data analysis and enhanced situational awareness. The development of drones and unmanned systems marked a significant shift, with AI increasingly applied to operational contexts. Today, AI applications in the military encompass various areas, including autonomous vehicles, predictive analytics, intelligence gathering, and combat simulations. Countries like the United States, China, and Russia are investing heavily in AI research to enhance their military capabilities.

 

Benefits of AI in Military. Integrating AI into the military offers significant benefits, including increased efficiency, accuracy, and situational awareness. AI technologies streamline processes and enhance operational efficiency. By automating routine tasks, military personnel can focus on strategic planning and execution. AI systems improve the accuracy of military operations by providing data-driven insights that reduce human error. Analysing data in real time enhances decision-making, particularly in high-stakes environments. AI technologies improve situational awareness by integrating data from various sources, providing commanders with a comprehensive understanding of the battlefield. These practical advantages underscore the importance of AI in military decision-making.

 

AI in Military Contexts.

AI in the military can be broadly classified as data analytics, autonomous systems, decision support, and cyber defence. Its ability to quickly process large volumes of data and identify patterns has made AI a powerful tool for intelligence analysis, operational planning, and logistics optimisation.

 

Data Analytics and ISR (Intelligence, Surveillance, and Reconnaissance). AI-driven data analytics enhance ISR capabilities by analysing satellite images, social media data, intercepted communications, and more to identify potential threats. AI systems analyse real-time ISR data, recognising patterns that may indicate enemy movements or hidden threats. Machine learning models trained on historical data help predict potential adversarial actions, giving military leaders a tactical advantage. For example, deep learning models analyse satellite and drone imagery, identifying military installations, troop movements, or equipment locations with minimal human input. By providing commanders with this intelligence in near real-time, AI reduces the time needed to make informed tactical decisions.

 

Simulation and War Gaming. AI-powered simulations are invaluable for testing different scenarios in war gaming exercises. These simulations incorporate diverse factors, including adversary capabilities, weather, and terrain, to provide a realistic projection of possible outcomes. Such tools allow leaders to plan and rehearse operations, identify weaknesses, and refine strategies. AI simulations support large-scale strategic planning and small-unit tactics, helping teams understand the consequences of their actions before taking them on the battlefield. War gaming simulations also train and prepare soldiers and officers for complex and high-stress situations through realistic, AI-generated scenarios.

 

Predictive Maintenance and Logistics Optimisation. AI enhances logistics by predicting when vehicles or other equipment may need maintenance, ensuring that military assets are operational when required. Predictive maintenance uses AI to analyse sensor data from equipment, forecasting failures before they happen and reducing operational downtime. For instance, AI predicts tank engine wear or helicopter rotor fatigue based on operational data, allowing maintenance teams to perform pre-emptive repairs, which can be critical in conflict scenarios. This application is more efficient and potentially life-saving, a testament to the significant role AI plays in military operations.

 

Autonomous and Semi-Autonomous Systems. Autonomous systems driven by AI are reshaping the modern battlefield. Drones, ground robots, and other unmanned systems operate with varying degrees of autonomy, performing ISR, transport, and combat tasks that traditionally require human soldiers. These systems extend operational capabilities, allowing military forces to engage in high-risk missions with minimal direct exposure to human personnel.

 

Unmanned Aerial and Ground Vehicles. AI enables drones and unmanned ground vehicles (UGVs) to operate autonomously in complex environments. Equipped with computer vision and machine learning algorithms, these systems navigate hostile terrain, conduct reconnaissance, and sometimes engage targets without direct human intervention. These AI-driven vehicles can also perform multi-mission roles, often shifting from reconnaissance to combat, depending on mission needs. This flexibility allows commanders to adapt real-time strategies, using the same resources for multiple purposes, improving efficiency, and extending operational reach.

 

Swarm Technology. Swarm technology, in which groups of autonomous systems work collaboratively, represents a new frontier in military robotics. AI allows swarms of drones to communicate, make collective decisions, and adapt to changing environments, enabling them to overwhelm defences, conduct coordinated surveillance, and jam enemy signals. In a combat situation, drone swarms could confuse adversary radar systems or execute diversionary tactics, creating openings for human-operated forces. This level of coordination and adaptability would be almost impossible without AI, which processes environmental data and adjusts the swarm’s behaviour in real-time.

 

Autonomous Combat Systems and the Kill Chain. One of the most controversial uses of AI in the military is automating the “kill chain”, the sequence of decisions from target identification to engagement. While current norms generally require human oversight, there is a growing interest in developing systems that can autonomously engage targets under specific circumstances. This application raises profound ethical and legal questions, as fully autonomous combat systems could operate beyond human control, making decisions with lethal consequences. Concerns over accountability, discrimination between combatants and civilians, and the potential for accidental escalation of conflicts are central to debates on the future of such technologies.

 

Cyber Defence and Information Warfare. Cyber warfare is a crucial area where AI aids in protecting military assets from digital threats. With its ability to rapidly detect anomalies, AI helps military cyber teams identify potential intrusions and respond to cyber attacks, significantly improving defence against increasingly sophisticated adversaries.

 

Threat Detection and Response. AI-powered systems monitor military networks, identifying unusual activities and rapidly flagging potential threats. These systems can differentiate between normal and malicious behaviour by analysing network patterns, user behaviour, and system performance. Machine learning models constantly adapt to new tactics and techniques cyber adversaries use, making them crucial in mitigating advanced persistent threats (APTs). AI also plays a role in “active defence,” where it identifies an intruder and takes countermeasures, potentially isolating affected systems or misleading the adversary. Such rapid response mechanisms enhance cyber security in ways that are challenging to achieve with human teams alone.

 

Information Warfare and Disinformation Detection. Information warfare has become a critical aspect of military operations, with adversaries frequently spreading misinformation to undermine morale and erode public trust. AI-driven tools can identify disinformation patterns by analysing social media and other communications platforms and flagging content designed to mislead or destabilise. AI’s ability to monitor, detect, and counteract information attacks helps protect soldiers and civilians from psychological manipulation while countering adversarial narratives that aim to weaken resolve or incite division.

 

Decision Support Systems (DSS). AI-based DSS provides commanders with actionable insights, predicting adversary behaviour and logistics needs and suggesting strategies to address dynamic battlefield conditions. AI’s benefits in military decision-making are substantial, enhancing speed, accuracy, and operational readiness. AI allows faster decision-making by processing information and identifying threats quicker than human operators. This speed is critical in time-sensitive combat situations where delayed responses can mean the difference between success and failure.

 

AI-enabled Systems.

Project Maven. Initiated by the U.S. Department of Defence in 2017, Project Maven aims to leverage AI to enhance the military’s ability to analyse drone footage and other visual data. By employing machine learning algorithms, Project Maven can automatically identify objects and activities in video feeds, significantly improving the speed and accuracy of intelligence analysis. According to the DoD, “Project Maven enables the Department of Defence to leverage AI and machine learning to make sense of vast amounts of data.” This project exemplifies the practical application of AI in military operations, transforming how intelligence is gathered and analysed.

 

Aegis Combat System. The Aegis Combat System is an advanced naval weapons system used by the U.S. Navy and allied forces. It employs AI to enhance threat detection, tracking, and engagement capabilities. Aegis integrates data from multiple sensors to provide real-time situational awareness, enabling rapid decision-making in combat scenarios.

 

Lethal Autonomous Weapons Systems (LAWS) are a controversial application of AI in military operations. These systems can select and engage targets without human intervention, raising ethical and legal concerns. Proponents argue that LAWS can reduce risks to human soldiers and increase operational efficiency. However, critics warn that lacking human oversight in lethal decision-making could lead to unintended consequences. The United Nations has called for discussions on regulating autonomous weapons, emphasising the need for human accountability in such systems.

 

Challenges and Concerns.

Implementing AI in the military involves several practical challenges, including ethical concerns, data quality, adversarial threats, and potential over-reliance on technology. While AI presents significant opportunities for military decision-making, several challenges and ethical considerations must be addressed.

 

Data Privacy and Security. Integrating AI into military operations raises concerns about data privacy and security. Collecting and analysing vast amounts of data, including personal information, can lead to potential misuse or unauthorised access. Ensuring data integrity and protecting sensitive information are critical challenges for military organisations. Cyber security measures must be robust to prevent adversaries from exploiting vulnerabilities in AI systems.

 

Data Quality and Integration. AI systems require high-quality, structured data to make accurate decisions. Military data sources are often fragmented, making integrating and ensuring data quality difficult. If AI systems operate on poor or incomplete data, they may produce incorrect or unreliable decisions, which could have dire consequences.

 

Reliability and Trust. AI systems are not infallible and can be prone to errors, particularly in complex and dynamic environments. Building trust in AI systems is crucial for military personnel to rely on them in high-stakes situations. Ensuring the reliability and accuracy of AI algorithms requires continuous testing and validation. Military organisations must establish protocols to assess the performance of AI systems before deployment.

 

Ethical Implications, Accountability and Responsibility. Despite its benefits, AI in military decision-making raises moral and legal concerns, particularly regarding autonomy, accountability, and adherence to international laws. The potential for machines to make life-and-death decisions without human intervention raises concerns about accountability and moral responsibility. Accountability can be ambiguous in AI-driven operations. If an autonomous weapon causes unintended harm, it is often unclear whether responsibility falls on the AI developer, the commanding officer, or the operator. Establishing clear accountability is essential to prevent the misuse of AI technologies and to ensure legal and ethical conduct in military operations. The moral implications of using AI in warfare have led to calls for regulatory frameworks to govern the development and deployment of autonomous systems. Experts argue that human oversight is essential to maintain ethical standards in military operations.

 

Compliance with International Law. Many AI applications in warfare, such as autonomous drones and weaponised robots, may challenge existing international treaties, including the Geneva Conventions, which govern the conduct of war and protect non-combatants. The potential for autonomous systems to make lethal decisions without human oversight raises questions about compliance with these international norms.

 

Adversarial AI and Deception.  The potential for adversaries to exploit AI technologies poses a significant threat to military operations. Hostile entities can exploit cyber security vulnerabilities in AI systems to disrupt operations or manipulate data. For example, an adversary might feed false data into an AI system or use techniques to mislead autonomous systems, potentially leading to harmful or counterproductive decisions. Military organisations must develop counter-AI strategies and robust cyber security measures to safeguard their systems from adversarial threats. Collaboration with industry and academia can enhance resilience against emerging threats.

 

Dependence on Technology and Operational Vulnerability. Over-reliance on AI could create vulnerabilities, particularly if these systems are compromised or disabled in combat. If soldiers and commanders become too dependent on AI-based decision support, they may lack the necessary skills or resilience to operate without these tools in high-stress situations.

 

Future of AI in Military Decision-Making

As AI technology evolves, its role in military decision-making will expand. Several key areas warrant attention for future developments. The trajectory of AI in military decision-making suggests further integration, with increased autonomy in combat systems, more sophisticated predictive capabilities, and enhanced collaboration between human and AI decision-makers. However, the future of AI in military contexts will depend on addressing current ethical concerns, refining regulatory frameworks, and developing global agreements on autonomous weaponry.

 

Ongoing Research and Development. Continued research and development in AI technologies will be critical for addressing military applications’ challenges and ethical implications. Collaboration between military organisations, academia, and industry can drive innovation. Governments and defence agencies should invest in research programs exploring AI’s ethical, operational, and technological aspects in military contexts. This approach will ensure that AI systems are developed responsibly and effectively.

 

Human-AI Teaming Models and Collaboration. The future of military decision-making will likely involve greater collaboration between humans and AI systems. AI can augment human decision-making by providing data-driven insights, while human operators can offer contextual understanding and ethical considerations. This human-AI teaming approach leverages AI’s data processing and pattern recognition strengths while preserving human oversight and moral judgment. Developing effective collaboration models will be crucial for maximising AI’s benefits in military operations.

 

Advanced Training and Adaptation. As AI tools evolve, military training will adapt to integrate AI-based decision-making into officer training and war gaming exercises. Future military professionals must understand AI’s capabilities and limitations to ensure they can use these tools effectively and ethically. Enhanced training programs are essential to prepare military personnel to integrate AI technologies. Training should focus on developing skills in data analysis, AI ethics, and human-machine collaboration.

 

Regulatory Frameworks. The rapid advancement of AI technologies necessitates the establishment of regulatory frameworks to govern their use in military operations. Such frameworks should address ethical considerations, accountability, and oversight in autonomous systems. International cooperation is essential for developing norms and standards regarding the use of AI in warfare. Establishing treaties or agreements can help mitigate the risks of autonomous weapons and promote responsible AI use.

 

International Collaboration and AI Arms Control. International collaboration and regulation will be essential to manage the risks associated with military AI. Nations may need to negotiate treaties similar to those that govern nuclear and chemical weapons, establishing protocols and limits for AI-driven autonomous weapons.

 

Conclusion

 Integrating AI into military decision-making reshapes how armed forces operate, strategise, and engage in combat. While AI offers significant benefits regarding efficiency, accuracy, and situational awareness, it also raises significant ethical and operational challenges. As military organisations continue to explore AI technologies, addressing these concerns will ensure responsible and effective use in the field. Balancing AI’s benefits with the principles of international law and ethical warfare will be essential to shaping a future where AI is a responsible and effective partner in military decision-making. The future of military decision-making will depend on finding the right balance between leveraging AI’s capabilities and maintaining human oversight and accountability. As AI technology advances, ongoing research, regulation, and collaboration will ensure that its deployment in military contexts aligns with humanity’s broader goals and values.

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Disclaimer:

Information and data included in the blog are for educational & non-commercial purposes only and have been carefully adapted, excerpted, or edited from reliable and accurate sources. All copyrighted material belongs to respective owners and is provided only for wider dissemination.

 

 

References: –

  1. U.S. Department of Defence. (2017). Project Maven. Retrieved from DoD Website.
  1. Richardson, J. M. (2016). “The Future of Naval Warfare.” Proceedings of the U.S. Naval Institute, 142(5), 24-30.
  1. U.S. Army. (2019). Army Artificial Intelligence Strategy. Retrieved from Army.mil.
  1. Scharre, P. (2018). Army of None: Autonomous Weapons and the Future of War. New York: W.W. Norton & Company.
  1. United Nations. (2019). Report of the Secretary-General on Lethal Autonomous Weapons Systems. Retrieved from UN Website.
  1. Hodge, N. (2017). “The Impact of Artificial Intelligence on Military Strategy.” Journal of Military Ethics, 16(4), 303-319.
  1. Defence Advanced Research Projects Agency. (2021). AI Next Campaign. Retrieved from DARPA.mil.
  1. Lin, P. (2016). “Why Ethics Matters for Autonomous Cars.” Autonomously Driven Cars: Ethical Implications of the Technology. Washington, D.C.: The Brookings Institution.
  1. Altmann, J., & Sauer, F. (2017). “Regulating Artificial Intelligence in Warfare.” The International Journal of Human Rights, 21(2), 147-161.
  1. Cebrowski, A. K., & Gartska, J. J. (1998). “Network-Centric Warfare: Its Origin and Future.” U.S. Naval Institute Proceedings, 124(1), 28-35.

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617: INPUTS FOR QUESTIONNAIRE ON INDIA-TAIWAN RELATIONS

 

1: How important are semiconductors between the India-Taiwan bilateral ties?

    • Taiwan dominates semiconductor manufacturing, and India aspires to initially become self-reliant and a semiconductor hub in the long run.
    • Semiconductor cooperation can be a key element in India-Taiwan’s bilateral relations.
    • Taiwan is home to TSMC (Taiwan Semiconductor Manufacturing Company), the world’s leading contract chip manufacturer, and other key semiconductor firms like UMC and MediaTek.
    • Taiwan accounts for over 60% of global semiconductor production, making it indispensable in the global semiconductor supply chain.
    • India strives to become a major semiconductor manufacturing and design player with government initiatives like the Semiconductor Mission and incentives under the PLI (Production-Linked Incentive) scheme.
    • However, India lacks advanced fabrication facilities and relies on imports for its semiconductor needs.
    • Taiwanese firms, including TSMC and UMC, have been in discussions about establishing semiconductor plants in India.
    • India and Taiwan have explored partnerships to set up semiconductor packaging and testing facilities.
    • The most prominent initiative in the past was Foxconn’s joint venture with Vedanta to set up a semiconductor fab in India. However, this project faced setbacks, and Foxconn later withdrew.
    • Taiwan’s MediaTek has R&D operations in India, and more companies are eyeing design and software collaborations.
    • Taiwan faces increasing pressure from China, while India has border tensions with Beijing. Strengthening semiconductor ties helps both nations reduce reliance on China.
    • Amid U.S.-China tech tensions, India is a potential alternative for Taiwan to de-risk its semiconductor supply chains. However, due to pressure from China, Taiwan’s firms may hesitate to invest heavily in India.
    • Semiconductor cooperation offers mutual benefits in economic growth, technological advancement, and strategic realignment.

 

2a: How’s the development of an AI-technology innovation ecosystem linked to semiconductors?

    • This relationship between AI and Semiconductors is symbiotic.
    • Developing an AI-technology innovation ecosystem depends on robust, specialised chips for computation. On the other hand, advances in AI drive semiconductor innovation.
    • AI is revolutionising the semiconductor industry.
    • AI workloads like machine learning (ML), deep learning, and generative AI require enormous computational capacity, which is powered by advanced semiconductor technologies like Graphics Processing Units (GPUs).
    • Application-Specific Integrated Circuits (ASICs) and custom chips (e.g., Google’s TPUs) are optimised for AI workloads, enhancing performance and efficiency.
    • Future AI applications would demand breakthroughs in semiconductor design (Neuromorphic & Quantum Chips), mimicking brain-like processing or leveraging quantum computing.
    • AI-enabled devices (smartphones, IoT, autonomous systems) require power-efficient chips for real-time AI inference.
    • A thriving AI ecosystem requires cutting-edge semiconductor technology, while AI drives semiconductor innovations.
    • Countries investing in AI are also focusing on semiconductor self-sufficiency.
    • To stay competitive, nations aiming to lead in AI must also invest in advanced semiconductor capabilities.

 

2b How’s Taiwan important for Indian AI?

    • Taiwan is Important for Indian AI development, and it can play a critical role in India’s AI ambitions due to its dominance in semiconductor manufacturing, expertise in AI hardware, and potential for technological collaboration.
    • Taiwan is home to TSMC, MediaTek, and other key players; India’s AI growth is closely linked to its semiconductor partnerships with Taiwan.
    • Taiwan’s MediaTek supplies AI-driven smartphone processors, the key to India’s mobile AI market.
    • Taiwan’s semiconductor firms could help India build chip fabrication and packaging infrastructure, supporting India’s AI industry.
    • Taiwan’s expertise in embedded AI, 5G chips, and smart sensors can enhance India’s AI-driven IoT industry.
    • Taiwan has top research institutions (e.g., Academia Sinica, ITRI) specialising in AI-chip co-development, with which India can collaborate.
    • India’s AI Software Strength – India excels in AI/ML software development, while Taiwan specialises in hardware. This complementary relationship can lead to co-innovation in AI applications.
    • Taiwan and India can expand cooperation in AI-powered automation, fintech, and healthcare solutions.
    • India relies on Taiwan for high-end GPUs and AI chips, which are essential for AI supercomputing and cloud AI services.
    • Taiwan is vital for India’s AI ecosystem due to its semiconductor leadership, AI hardware expertise, and potential investment in India’s chip industry.

 

2c  Is ‘AI bias’ one sphere in which India and Taiwan should collaborate? I think AI bias will be used in narrative warfare by China. So, it sounds logical that India will look towards Taiwan for it. That’s why this question.

    • Yes, AI bias is a critical area where India and Taiwan should collaborate, especially considering how China could leverage AI for narrative warfare, disinformation, and ideological control.
    • Given Taiwan’s experience in countering Chinese propaganda and cognitive warfare and India’s strength in AI software development, a partnership between the two could be mutually beneficial.
    • AI models learn from data, and if this data is manipulated, it can shape narratives in ways that serve geopolitical agendas. China has a history of AI-enabled information control.
    • Chinese AI firms develop models that filter, distort, or suppress certain narratives (e.g., Tiananmen Square and Uyghur issues).
    • AI-driven bot networks and deepfakes help China push state-controlled narratives globally.
    • AI-powered language models can spread biased historical or political perspectives on global platforms.
    • Given these threats, India and Taiwan must proactively develop AI systems that resist bias and manipulation to safeguard their information sovereignty.
    • India (with its AI research institutions like IITs, IIITs, and NITI Aayog) and Taiwan (via Academia Sinica, ITRI) can create joint frameworks for identifying and countering AI bias.
    • Instead of relying on U.S. or China-dominated AI models (GPT, ERNIE), India and Taiwan can work on regional AI models trained on neutral or diverse datasets.
    • Taiwan is already a leader in countering Chinese misinformation; India can integrate these capabilities into its AI-driven news verification systems.
    • India and Taiwan should limit dependency on Chinese AI tools, chips, and cloud services to avoid hidden biases and surveillance risks.
    • China can manipulate AI models. India and Taiwan must ensure independent, bias-resistant AI tools.
    • Both countries face Chinese psy-ops through TikTok clones, AI-driven chatbots, and misinformation on global platforms. Collaboration on AI-driven digital hygiene strategies is essential.
    • AI bias is not just a technical issue but a geopolitical weapon. Given China’s advancements in AI-enabled narrative control, India and Taiwan must collaborate to develop AI models that are transparent, unbiased, and resilient to manipulation.

 

3: Do you think Taiwan will determine the QUAD’s Indo-Pacific policy? Do you think Taiwan will be included in QUAD Plus?

    • Taiwan is strategically important for the Indo-Pacific.
    • Its inclusion in QUAD+ or any official QUAD policy is highly sensitive due to geopolitical constraints, primarily the One-China policy followed by QUAD members.
    • However, Taiwan is already a de facto part of the Indo-Pacific security architecture, and its role may increase informally without direct QUAD membership.
    • Taiwan plays a key role in significant aspects of the Indo-Pacific strategy.
    • India, Japan, and Australia have quietly increased economic, diplomatic, and military engagement with Taiwan.
    • The U.S. openly supports Taiwan’s defence and maintains strong military ties with Taiwan (e.g., arms sales, intelligence-sharing).
    • Joint statements focus on ‘peace and stability in the Taiwan Strait’, a veiled warning to China.
    • This suggests Taiwan is a silent but critical factor in QUAD’s Indo-Pacific strategy.
    • The idea of QUAD+ (expanded QUAD partnerships) includes countries like South Korea, Vietnam, the Philippines, and European allies. Taiwan’s inclusion is politically tricky but possible in indirect ways.
    • QUAD could integrate Taiwan into its semiconductor, AI, and cyber initiatives without direct military ties.
    • Taiwan is already working with the U.S. and Japan on cyber defence against China.
    • QUAD’s Indo-Pacific Economic Framework (IPEF) could involve Taiwan in trade and investment deals.
    • Taiwan’s inclusion could provoke Chinese military aggression, making regional stability harder to maintain.
    • India’s stance on Taiwan is cautious but evolving, with no diplomatic recognition (it follows the One-China policy but doesn’t reaffirm it actively), expanding economic & tech ties, and a measured stance on security issues (India doesn’t directly engage on Taiwan’s defence but is watching U.S.-China tensions closely).
    • Taiwan will likely play a more significant role in QUAD’s Indo-Pacific policy, but formal membership in QUAD+ is unlikely in the near future due to China’s geopolitical sensitivities.

 

4. Do you think,  that Taiwanese TSMC’s $100 billion investment in the US has any lessons for India-Taiwan bilateral ties?

Taiwan Semiconductor Manufacturing Company’s (TSMC) $100 billion investment in the U.S. offers several lessons for India-Taiwan bilateral ties, particularly in the semiconductor sector.

TSMC’s investment in the U.S. is not merely a business move but a strategic decision driven by geopolitical concerns, primarily supply chain resilience and U.S.-China tensions. Similarly, India must recognise the strategic value of deepening semiconductor cooperation with Taiwan, not just as an economic initiative but as a crucial aspect of national security and self-reliance (Atmanirbhar Bharat).

Taiwan seeks to diversify its semiconductor production due to concerns about a potential Chinese invasion. The U.S. has emerged as one alternative, and India could position itself as another. New Delhi can present itself as a stable and growing economy with skilled labour and a commitment to semiconductor self-sufficiency.

The U.S. successfully attracted TSMC by offering massive incentives under the CHIPS Act, including subsidies, tax breaks, and infrastructure support. Under its Semiconductor Mission, India is offering similar incentives, but the challenge is ensuring a competitive ecosystem, covering land acquisition, power supply, and water availability (all crucial for fabs). If India wants Taiwanese firms like TSMC or UMC to invest, it must streamline regulatory processes and enhance the ease of doing business.

 

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Information and data included in the blog are for educational & non-commercial purposes only and have been carefully adapted, excerpted, or edited from reliable and accurate sources. All copyrighted material belongs to respective owners and is provided only for wider dissemination.

 

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609: ARTIFICIAL INTELLIGENCE: SHIFTING THE BALANCE OF POWER

 

Presented my paper at the Forum for Global Studies (Mar 25)

 

Artificial Intelligence (AI) transforms global power structures, challenging traditional geopolitical, economic, and military balances. As AI develops accelerated, nations, corporations, and non-state actors increasingly leverage its capabilities to gain strategic advantages. This paper examines AI’s role in reshaping power dynamics, focusing on military applications, economic competitiveness, and political influence.

 

AI in Military Power Projection

Artificial Intelligence (AI) revolutionises military power structures, reshaping warfare, defence strategies, and geopolitical dominance. Nations investing in AI-driven military capabilities gain strategic advantages in battlefield efficiency, intelligence processing, and autonomous systems. Integrating AI in military systems enhances combat efficiency, decision-making speed, and operational effectiveness. AI-powered platforms process vast amounts of data in real-time, improving strategic responses and minimising human intervention in combat.

Autonomous Weapons Systems. Autonomous weapons, also known as lethal autonomous weapon systems (LAWS), utilise AI to identify and engage targets without direct human intervention. These systems revolutionise modern warfare by increasing precision and reducing risks to human soldiers. One of the primary advantages of autonomous weapons is the reduction of human casualties. AI-driven combat systems lower risks for soldiers by automating dangerous missions and keeping human personnel out of harm’s way. Additionally, these systems enhance operational efficiency, as AI-powered drones and robots can operate continuously without fatigue, improving battlefield endurance. Another significant benefit is precision targeting, where AI-enhanced targeting minimises collateral damage, increasing mission accuracy and reducing unintended casualties. Despite these advantages, autonomous weapons raise serious concerns. One major issue is accountability—determining responsibility for autonomous strikes remains a significant challenge. Another risk is the potential for escalation, as AI-driven weapons could lead to rapid, unintended conflicts that spiral out of control. Furthermore, regulatory challenges persist as international treaties struggle to govern AI-enabled autonomous combat systems, making enforcing oversight and ethical considerations difficult.

AI in Cyber Warfare. AI’s role in cyber warfare has transformed digital defence and offensive capabilities. Machine learning algorithms enhance cyber security by detecting and mitigating cyber threats in real time, while AI-driven attacks exploit vulnerabilities with unprecedented sophistication. AI-generated malware is one of the most dangerous offensive cyber tools, as it can adapt and evolve to bypass security protocols. Automated phishing attacks leverage AI-driven social engineering techniques to manipulate targets with precision. Deepfake disinformation campaigns use AI-generated content to disrupt enemy morale and destabilise societies by spreading false narratives. On the defensive side, AI-driven systems play a crucial role in cyber threat detection by analysing network traffic to identify threats before breaches occur. Automated response mechanisms enable AI-powered security systems to neutralise cyber attacks without human intervention. Moreover, predictive intelligence based on behavioural analysis allows AI to anticipate and mitigate future cyber threats, enhancing overall cyber security resilience.

AI in Surveillance and Reconnaissance. AI-enhanced surveillance systems improve intelligence gathering, target tracking, and situational awareness. Military reconnaissance benefits from AI-powered drones, satellites, and sensor networks, which monitor adversaries and assess battlefield conditions in real time. Satellite intelligence (SATINT) uses AI to analyse satellite imagery and detect military activity, providing strategic insights. Unmanned aerial vehicles (UAVs), equipped with AI capabilities, conduct reconnaissance missions and precisely track enemy movements. Additionally, AI-powered facial and behaviour recognition systems enhance security by identifying potential threats based on biometric analysis.

AI-Enhanced Decision-Making and Command Systems. AI augments military decision-making by analysing complex battlefield scenarios, optimising strategies, and providing commanders with data-driven insights. AI-enhanced decision-making leverages machine learning algorithms to analyse battlefield scenarios, optimise logistics, and predict enemy movements, strengthening command and control operations. Predictive analytics allows AI to anticipate enemy movements and suggest optimal responses, improving strategic planning. Automated resource allocation ensures that AI optimises supply chain logistics and troop deployment efficiently. Lastly, real-time battle simulations enable AI to generate war-gaming scenarios, enhancing military preparedness and strategic readiness.

 

Economic Competitiveness and AI Dominance

Economic power is increasingly tied to AI capabilities. AI enhances productivity, optimises supply chains, and enables rapid decision-making, all contributing to economic growth. Artificial Intelligence (AI) is transforming global economic power structures, redefining industries, and reshaping competition between nations. Countries and corporations that leverage AI to drive productivity, innovation, and automation gain a significant competitive edge in the global economy. Nations leading in AI research and development (R&D) set the standards for global technology markets and influence digital trade regulations. They are setting the stage for economic dominance in the 21st century. Key Areas of AI-Driven Economic Transformation are as follows:-

    • Automation and Productivity Gains. AI-powered robotics and software streamline manufacturing, logistics, and service sectors, boosting efficiency and reducing costs.
    • Big Data and AI Analytics. AI processes vast datasets, enabling businesses to make data-driven decisions, predict market trends, and personalise customer experiences.
    • AI in Financial Services. AI-driven algorithms optimise trading strategies, fraud detection, and risk management, increasing financial sector efficiency.
    • AI in Healthcare and Biotechnology. AI enhances medical diagnostics, drug discovery, and personalised medicine, improving healthcare delivery and economic gains in the biotech industry.
    • Smart Manufacturing and Industry 4.0. AI integrates with IoT (Internet of Things) to create intelligent factories, optimise production processes, and reduce waste.
    • AI’s Role in Shaping Global Trade and Economic Power. The AI revolution is reshaping international trade dynamics, giving AI-dominant economies significant leverage in global markets.
    • AI in Supply Chain Optimisation. AI enhances logistics, demand forecasting, and inventory management, reducing inefficiencies and costs.
    • Competitive Edge in Export Markets. AI-powered automation lowers production costs, making AI-leading countries more competitive in global trade.
    • AI in Trade Negotiations. AI-driven predictive analytics help policymakers and corporations anticipate trade patterns and negotiate better trade deals.
    • AI and Global Economic Disparities. Countries lacking AI infrastructure risk economic marginalisation. Large corporations and AI-leading nations dominate industries, reducing competition and economic diversity. Nations controlling AI-driven data economies gain disproportionate economic power.
    • AI and Labour Market Transformations. AI is reshaping the workforce by automating tasks, displacing traditional jobs, and creating new AI-driven employment opportunities.
    • Job Displacement. AI-driven automation replaces routine and repetitive manufacturing, retail, and customer service jobs.
    • Emergence of AI-Centric Roles. AI creates demand for data scientists, AI engineers, and machine learning specialists.
    • Up Skilling and Reskilling Needs. Governments and corporations must invest in workforce retraining to adapt to AI-driven job market changes.
    • Gig Economy and AI Integration. The gig economy is a labour market characterised by short-term, flexible, and freelance work instead of permanent jobs. It includes independent contractors, temporary workers, and freelancers who typically find work through AI-driven digital platforms. These platforms enable new forms of flexible employment but raise concerns about job security and fair wages.

 

AI and Political Influence

AI is reshaping governance, diplomacy, and social control. Governments use AI-driven surveillance, information campaigns, and predictive analytics to maintain domestic stability and project influence abroad. Artificial Intelligence (AI) rapidly transforms global political landscapes, reshaping governance, diplomacy, and geopolitical power structures.  AI enables governments and political entities to wield significant influence by analysing vast datasets, predicting voter behaviour, and automating propaganda. Its impact extends to election processes, public policy, and international relations, redefining the mechanisms of political power.

Key Areas of AI-Driven Political Influence

    • AI in Political Campaigns. AI-powered tools analyse voter sentiment, craft personalised messaging, and optimise campaign strategies.
    • Social Media Manipulation. AI-driven bots and deepfake technology amplify political narratives, shape public discourse, and manipulate opinions.
    • AI in Policy Decision-Making. AI models provide data-driven insights to optimise governance and public administration.
    • Surveillance and Political Control. Governments use AI for mass surveillance, influencing public behaviour and suppressing dissent.
    • AI in Diplomacy and Geopolitical Strategy. AI enhances foreign policy decisions, intelligence gathering, and crisis management.
    • AI and Electoral Processes. AI has revolutionised election strategies, allowing political entities to predict outcomes, micro-target voters, and optimise campaign engagement. However, it also raises concerns about election security and fairness.
    • Voter Behaviour Analysis. AI assesses demographic trends, political inclinations, and key voter concerns.
    • Automated Political Advertising. AI optimises ad targeting, ensuring messages reach the most receptive audiences.
    • Chatbots for Political Outreach. AI-powered virtual assistants interact with voters, answering questions and reinforcing campaign narratives.
    • Bias in AI Algorithms. AI-driven decision-making can reinforce political biases and favour specific groups.
    • Cyber security Threats. AI-powered hacking and misinformation attacks threaten electoral integrity.
    • AI in Governance and Public Policy. AI transforms governance by enhancing policy-making efficiency, automating administrative tasks, and predicting socio-political trends.
    • Predictive Governance. AI analyses socio-economic data to forecast public needs and policy outcomes.
    • Automated Bureaucracy. AI streamlines governmental operations, reducing inefficiencies in administrative processes.
    • Crisis Management. AI-driven simulations assist policymakers in responding to economic and security crises.
    • AI in International Relations and Diplomacy. AI plays a crucial role in global politics by enhancing diplomatic strategies, intelligence analysis, and conflict resolution efforts.
    • AI-Powered Negotiations. AI-driven models assist diplomats in formulating negotiation strategies.
    • Predictive Conflict Analysis. AI anticipates political conflicts, enabling pre-emptive diplomatic interventions.
    • AI Arms Race. Leading nations compete to develop AI-driven cyber warfare and autonomous defence systems.
    • AI in Soft Power Strategy. Nations leverage AI-driven media to project ideological influence worldwide.

 

AI in Strategic Competition between Nations

The United States and China are at the forefront of AI development, engaging in an AI arms race with significant geopolitical implications. Both nations invest heavily in AI research, infrastructure, and applications to gain technological dominance.  Leading military powers, including the United States, China, and Russia, invest in AI-driven defence programs to secure strategic dominance. AI’s role in military technology has sparked an arms race with implications for global security and power dynamics.

 

The U.S. Approach to AI. The United States adopts a collaborative approach to AI development, leveraging partnerships between the government, universities, and major technology companies like Google, Microsoft, and OpenAI. The Department of Defence prioritises AI integration into defence, intelligence, and cyber capabilities, ensuring national security remains at the forefront of innovation. Regulatory frameworks aim to balance technological advancement with ethical concerns, ensuring AI development aligns with democratic values. The U.S. also strengthens AI research collaborations with allies to maintain a competitive edge over global rivals. The Pentagon invests heavily in AI-powered defence initiatives, including autonomous combat systems such as AI-driven drones and robotic warfare units. Additionally, AI is critical in intelligence analysis, enhancing counterterrorism and national security efforts. Economically, the U.S. fosters AI-driven innovation through public-private partnerships, Silicon Valley startups, and research institutions, ensuring that AI remains a key driver of economic growth. The U.S. also promotes AI governance through regulatory and ethical frameworks to balance innovation with consumer protection.

China’s AI Strategy. China’s AI development is largely state-led, with the government investing heavily in research and innovation to advance its global influence. AI plays a significant role in surveillance and social control, as the Chinese Communist Party employs AI-driven social credit systems and mass surveillance technologies to maintain political stability. AI is also integrated into key economic sectors such as manufacturing, finance, and e-commerce, strengthening China’s position as an economic powerhouse. Militarily, AI is a core component of China’s modernisation strategy, enhancing autonomous warfare systems and cyber capabilities. China has also incorporated AI into its military doctrine for intelligence gathering, cyber warfare, and autonomous combat strategies. The country’s extensive AI-driven surveillance infrastructure further supports military intelligence operations. In its broader economic strategy, China integrates AI into smart cities, digital payments, and urban planning while utilising AI-backed automation to modernise manufacturing and increase global competitiveness.

The European Union’s AI Approach. The European Union takes a regulatory and ethical approach to AI, prioritising governance, data privacy, and consumer protection while fostering technological innovation. The EU is a global leader in AI regulation, ensuring that AI development aligns with democratic values and ethical standards. AI is also widely utilised in sustainability and green technology, helping to optimise energy efficiency and reduce carbon footprints. Additionally, the EU promotes cross-border AI research collaborations, encouraging multinational efforts to advance AI technologies and maintain global competitiveness. The EU aims to set an international standard for responsible AI governance by focusing on ethical AI development and environmental applications.

 

India’s AI Approach and Strategy

India’s AI strategy is driven by a vision of “AI for All,” focusing on leveraging artificial intelligence to enhance economic growth, social development, and global competitiveness. The government recognises AI as a transformative force and has taken significant steps to integrate AI into various sectors. NITI Aayog’s National Strategy for Artificial Intelligence (NSAI) is the foundation for India’s AI roadmap, identifying healthcare, agriculture, education, smart cities, and mobility as priority areas. The government aims to position India as a global AI powerhouse while ensuring equitable access to AI technologies. India’s approach is unique as it balances innovation with ethical considerations, focusing on AI’s potential to address societal challenges such as poverty, healthcare accessibility, and job creation.

One of the key pillars of India’s AI strategy is the IndiaAI Mission, which focuses on building a robust AI ecosystem through public-private partnerships, investments in research and development, and AI-driven entrepreneurship. The government promotes AI startups through initiatives like Startup India and dedicated AI research hubs, ensuring that domestic innovation thrives. The Centre for Artificial Intelligence and Robotics (CAIR) under the Defence Research and Development Organisation (DRDO) plays a crucial role in the defence, cybersecurity, and automation of AI applications. The National Programme on AI, led by NITI Aayog, also works towards creating a data-driven economy where AI-powered solutions enhance governance, business processes, and public services.

The economic impact of AI in India is substantial, with AI projected to add $967 billion to India’s economy by 2035. AI is being integrated into key industries such as manufacturing, fintech, healthcare, and agriculture to boost efficiency and productivity. In manufacturing, AI-powered automation and robotics are helping industries reduce costs and improve precision. The financial sector benefits from AI-driven fraud detection, risk assessment, and customer service automation, enhancing the efficiency of banks and fintech firms. The agricultural sector is also witnessing a transformation with AI-driven predictive analytics, smart irrigation, and precision farming, improving yields and reducing resource wastage.

The Indian government also focuses on ethical AI development and regulation to ensure fairness, transparency, and accountability. The Personal Data Protection Bill aims to regulate data usage, ensuring user privacy and security. India is also active in global AI discussions, advocating for responsible AI governance on international platforms. The government is working on AI policies that promote inclusivity while preventing misuse, such as bias in algorithms and unethical surveillance. AI literacy and workforce skilling are also critical components of India’s AI strategy, with initiatives like FutureSkills Prime and Skill India training professionals in AI, machine learning, and data science to meet industry demands.

With a rapidly growing AI ecosystem, strong government support, and an increasing focus on indigenous AI solutions, India is poised to become a leading player in the global AI landscape. By prioritising innovation, ethical governance, and AI-driven development, India aims to harness AI’s full potential for economic progress, digital transformation, and social impact, ensuring that AI benefits reach all segments of society.

 

Conclusion

The global balance of power is shifting as AI revolutionises military strategy, economic dominance, and political influence. While AI presents opportunities for innovation and growth, it also introduces risks of conflict escalation, economic disparity, and authoritarian expansion. As AI becomes increasingly integral to national security and economic strength, global governance mechanisms must evolve to mitigate AI-driven threats and promote equitable development. The race for AI supremacy will define the geopolitical landscape of the 21st century. Nations that successfully harness AI while maintaining ethical standards and international cooperation will emerge as dominant forces in the new world order.

 

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