My Article published in the Newsanalytics Journal Mar 25.
Greenland is the world’s largest island, located in the Arctic, to the northeast of Canada. Politically, it is an autonomous territory of Denmark, though it has its own government and parliament. With a landmass of approximately 2.16 million square kilometers, Greenland is sparsely populated, with a population of around 56,000 people, most of whom live along the island’s coast. The majority of Greenland’s land is covered by an ice sheet, which holds a significant portion of the world’s freshwater. This ice sheet is vital to global climate patterns, as its melting could raise sea levels and disrupt ocean currents. While Greenland is rich in natural resources such as minerals, oil, and gas, its remote location and harsh environment make resource extraction challenging. Due to its strategic location, it has historically been important to both European and American interests, particularly during the Cold War, when the U.S. established military bases there.
Recent Limelight. Greenland has recently been at the center of international attention due to renewed interest from the United States in acquiring the territory. In December 2024, President Donald Trump reiterated his proposal for the U.S. to purchase Greenland from Denmark, citing national security concerns. This proposal builds upon a similar offer made during his first term, which was declined by the Danish government. In response to these developments, 85% of Greenlanders oppose the idea of becoming part of the United States. Greenland’s Prime Minister, Múte Egede, has emphasised that while Greenland is open to discussions about common interests with the U.S., the island is not for sale. The situation has led to increased diplomatic activity, with Denmark announcing plans to invest 14.6 billion crowns ($2.04 billion) to bolster its military presence in the Arctic. European leaders have also expressed support for Denmark, highlighting Greenland’s strategic importance in global geopolitics. These events underscore Greenland’s significant role in international affairs, particularly concerning Arctic sovereignty, natural resources, and global security dynamics.
Greenland’s Resource Potential. Greenland has vast natural resources, including rare earth elements, uranium, oil, and gas. These resources are essential for global industries, including defence, technology, and renewable energy. While Greenland’s government has moved away from oil exploration, its untapped reserves remain a strategic interest for global energy markets. Greenland’s waters are among the richest fishing grounds, a key economic driver and a point of interest for international players. As climate change makes resource extraction more feasible, Greenland faces a dilemma between economic development and environmental protection. Foreign mining and energy investment must balance economic benefits with sustainability concerns and geopolitical risks.
Strategic Location: Trade Routes. Greenland’s location in the North Atlantic and Arctic regions makes it an invaluable strategic asset. It lies between North America and Europe, serving as a crucial link for military and trade operations. The island provides access to key shipping lanes, including the emerging Arctic sea routes, which are becoming more navigable. As Arctic ice melts, new shipping lanes such as the Northwest Passage and the Northern Sea Route are opening up, reducing travel distances between Asia, Europe, and North America. Control over Greenland enhances the ability to monitor and regulate these routes, making it a strategic chokepoint in global trade.
Strategic Location: Militarily: Additionally, Greenland’s airspace and maritime routes are crucial for transatlantic military logistics. In any potential conflict in the North Atlantic, control over Greenland would be pivotal for ensuring dominance in the region. Greenland provides a staging ground for air and naval operations in both the Atlantic and Arctic, making it essential for NATO’s security umbrella. The U.S. maintains Thule Air Base in northern Greenland, a key component of the North American early-warning defence system. Thule is home to a ballistic missile early warning radar and a deep-space surveillance system.
Superpower Rivalries in Greenland
The Arctic as a New Global Arena. Greenland, the world’s largest island, has become an increasingly significant player in global geopolitics. Its strategic position in the Arctic, vast natural resources, and the effects of climate change have heightened interest from global superpowers such as the United States, Russia, and China. As geopolitical tensions rise, Greenland’s role in security, trade, and military strategy continues to expand, making it a focal point of international competition.
U.S. Interests and Military Presence. The United States has long viewed Greenland as an essential part of its Arctic strategy and has maintained a strategic presence in Greenland for decades. During World War II, the U.S. took over defence responsibilities for Greenland from Denmark to prevent German occupation. Since then, it has remained a key ally in Arctic security. In 2019, former U.S. President Donald Trump proposed purchasing Greenland from Denmark, highlighting its strategic importance. Though Denmark and Greenland rejected the proposal, it underscored the island’s increasing geopolitical value. The U.S. has continued to strengthen ties with Greenland through economic aid and security cooperation, recognising its role in countering Russian and Chinese influence in the Arctic.
Russian Expansion in the Arctic. Moscow views the Arctic as crucial for national security, energy extraction, and global influence. Russia has been actively expanding its Arctic military capabilities, reopening Soviet-era bases, deploying new icebreaker ships, and establishing Arctic brigades. The country considers the Arctic a key strategic frontier for national security and resource exploitation. Russia’s growing military infrastructure, including reported hypersonic missile deployments and submarine operations, has heightened concerns among NATO allies.
China’s Economic and Strategic Interests. China identifies itself as a “near-Arctic state” and has actively sought economic opportunities in Greenland, investing heavily in Arctic infrastructure, scientific research, and resource extraction. Greenland’s rare earth minerals are mainly of interest to China, which seeks to diversify its supply chains. China has also pursued scientific research in the Arctic, positioning itself as a key player in Arctic governance. However, its increasing presence has alarmed Western powers, who view Beijing’s activities as part of a broader strategy to expand its geopolitical influence. In 2018, the United States successfully pressured Denmark to block Chinese investments in Greenland’s airport infrastructure, fearing potential military implications. In 2021, Greenland’s newly elected government banned uranium mining, blocking a major Chinese-backed project. This decision was seen as a move to limit Chinese influence in the region and align more closely with Western allies.
Greenland’s Political Landscape and Future Prospects. Greenland is an autonomous territory within the Kingdom of Denmark, with its own government and growing aspirations for independence. While it relies on Denmark for defence and financial support, Greenland has sought greater economic and political autonomy. For Greenland, balancing economic development with national security concerns remains a challenge. Denmark has recognised Greenland’s strategic importance and has increased its Arctic military budget. In 2024, Denmark announced a $2 billion investment to enhance its Arctic security capabilities, reinforcing its commitment to maintaining stability in the region. The U.S. has shown interest in strengthening ties with Greenland outside of Danish influence and its role in NATO could grow, given its strategic military importance. The island’s leadership must navigate pressures from global powers while ensuring sustainable growth and environmental protection.
Conclusion. Greenland is not just a remote ice-covered island, it is a critical player in global security dynamics. Its location, resources, and military significance make it a key area of interest for major powers, including the United States, Russia, and China. As Arctic geopolitics intensify, Greenland’s strategic importance will only increase. Whether through military cooperation, resource management, or diplomatic engagements, Greenland will remain at the heart of global power dynamics in the 21st century. Ensuring its stability and security will be crucial for maintaining Arctic balance and broader global stability.
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Bader, Julia, and C. D. E. O’Neil. Arctic Geopolitics: Security, Resources, and the Shifting Balance of Power in the Arctic. New York: Routledge, 2019.
Smith, M. L. R. The Arctic and World Order: Climate Change, Security and the Future of the Global Commons. New York: Oxford University Press, 2020.
Friedrich, Daniel, and Stefan Sommer. “Greenland’s Strategic Importance: A New Cold War?” Journal of International Security Studies 28, no. 3 (2022): 45-67.
Young, Oran R. “The Geopolitics of Greenland: Great Power Rivalry in the Arctic.” International Journal of Arctic Studies 13, no. 2 (2019): 103-123.
McGovern, Mike. “Climate Change and the Arctic: Security Risks and Strategic Opportunities.” Security Studies Review 12, no. 4 (2021): 78-94.
Norwegian Institute for Defense Studies. Greenland: A Military Asset for the West? Oslo: Norwegian Institute for Defense Studies, 2023.
Center for Strategic and International Studies (CSIS). The Arctic as a Strategic Frontier: Greenland’s Role in U.S. Defense and Foreign Policy. Washington, D.C.: CSIS, 2020.
RAND Corporation. The Geopolitical Implications of Arctic Resource Extraction and Military Infrastructure in Greenland. Santa Monica: RAND, 2021.
The Guardian. “Greenland’s Changing Role in Global Geopolitics.” The Guardian, July 14, 2023.
BBC News. “Greenland’s Military Significance in the Arctic: A New Era.” BBC News, March 5, 2022.
Foreign Policy. “Greenland’s Geostrategic Location: The Next Global Flashpoint?” Foreign Policy, August 3, 2021.
The Arctic Institute. “Greenland’s Military Infrastructure and U.S. Strategic Interests in the Arctic.” The Arctic Institute, August 2022.
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.
My Paper published on the Indus International Research Foundation Website on 03 Mar 25.
India’s industrial landscape has undergone significant transformations, shaped by successive industrial revolutions and evolving policy frameworks. From the early days of import substitution to the liberalisation era and the push for self-reliance under initiatives like “Make in India,” the country’s industrial policy has played a crucial role in adapting to global technological shifts. India faces challenges and opportunities as the world has entered the Fourth Industrial Revolution, which is marked by artificial intelligence, automation, and advanced manufacturing. A strategic approach to industrial policy is essential to harness emerging technologies, boost competitiveness, and ensure inclusive economic growth. India can position itself as a global manufacturing and technology hub by fostering innovation, strengthening infrastructure, and promoting skill development. There is a need to study how India’s industrial policy has evolved in response to past industrial revolutions and examine the strategies needed to navigate the current and future waves of technological transformation.
Industrial Revolutions and Their Impact on India
The Industrial Revolutions are a series of transformative shifts in production processes, technologies, and economies that have reshaped society, work, and industries over the past few centuries. Each revolution has fundamentally transformed industries, economies, and societies, leading to greater productivity, new job roles, and sometimes societal challenges related to employment, equity, and sustainability. These revolutions are typically divided into four phases, each driven by ground-breaking technological innovations.
First Industrial Revolution (Industry 1.0). The First Industrial Revolution began around the 1760s and lasted into the mid-1800s. It marked the shift from agrarian to industrialised economies, primarily in Britain, and later spread to other parts of Europe and North America. Key innovations during this period included the development of the steam engine by James Watt (late 18th century), which revolutionised power generation, making it possible to mechanise production, move goods, and propel ships and trains. The introduction of machinery like the spinning jenny and power loom in the textile industry drastically increased productivity. Coal became the dominant energy source, fuelling steam engines, while iron and steel production saw significant advances. The steam locomotive and steamships revolutionised transportation, allowing goods and people to travel faster and more efficiently. The impact of the first revolution was a significant increase in factory-based production over manual labour, urbanisation due to the movement of people to cities for factory work, social changes resulting in the rise of the working class and the beginning of labour rights movements, and environmental effects, due to heavy reliance on coal.
Industry 1.0: Impact on India. India was largely bypassed during the First Industrial Revolution, as it was under British colonial rule. The British Empire used India as a source of raw materials and a market for finished goods produced in Britain. However, some initial industrial developments occurred under British influence. India had a well-established textile industry before British colonialism, but during British rule, many Indian textile mills were closed, and production shifted to England, where mechanised textile manufacturing flourished. India became a supplier of raw cotton to British mills. The British built an extensive railway network in India (starting in the 1850s) primarily to transport raw materials and finished goods. While the railways helped in internal transportation, they also tied India to colonial economic interests. India missed out on industrialisation, and its economy remained largely agrarian. Social and economic disparities deepened, and there was a growing dependency on British manufacturing.
Second Industrial Revolution (Industry 2.0). The Second Industrial Revolution began around the 1870s and continued into the early 20th century. This period focused on electrification, mass production, and scientific innovation, and it was particularly significant in the United States, Germany, and Britain. The key innovations included harnessing electricity for industrial use (e.g., electric motors, lighting, and factories powered by electrical systems). Henry Ford’s introduction of assembly lines in the automotive industry allowed goods to be produced on a large scale at reduced costs. New methods of producing steel, such as the Bessemer process, made steel more affordable and accessible, supporting infrastructure and transportation. The chemical industry expanded with new materials like synthetic dyes and fertilisers and pharmaceutical breakthroughs. Inventions such as the automobile (Ford’s Model T) and aeroplane (Wright brothers) reshaped transportation and communication. This revolution resulted in further urbanisation and the growth of large cities, a significant increase in manufacturing and consumer goods production, and social changes, such as the rise of labour unions and a growing middle class, and advances in global trade due to improved transportation and communication systems (telegraph and telephone).
Industry 2.0: Impact on India. The Second Industrial Revolution, characterised by electrification, mass production, and steel production, occurred just as India was under colonial rule. India remained a supplier of raw materials but began to see some early industrial ventures. Some Indian entrepreneurs, like the Tata family (who established Tata Steel in 1907), started building the foundations of Indian industry. Tata Steel was the first major steel manufacturing plant established to meet growing industrial needs. The introduction of electricity began to lay the groundwork for more modern industries, although the overall rate of industrialisation remained slow compared to Western powers. India’s industrial base remained underdeveloped, and the economy relied on British colonial policies. Industrial growth was primarily focused on sectors like textiles, tea, and jute for export.
Third Industrial Revolution (Industry 3.0). The Third Industrial Revolution began in the mid-20th century, driven by automation, information technology (IT), and digitalisation. It marked the transition to a more digitally interconnected and automated world. During this period, the development of computers, microprocessors, and personal computing systems revolutionised data processing, design, and manufacturing. The introduction of robotics and computer-aided design (CAD) and manufacturing (CAM) significantly improved precision and efficiency in production. The rise of the internet and mobile technologies allowed for instant communication and information sharing on a global scale. Advances in nanotechnology opened new frontiers for materials science, electronics, and medicine. The revolution caused significant advances in globalisation, as digital technologies allowed for integrating global markets and supply chains. The automation led to increased efficiency but also concerns over job displacement. Economic restructuring occurred with a shift from heavy industry to services and high-tech sectors. Data became a major driver of economic value, giving rise to the information economy.
Industry 3.0: Impact on India. India’s Third Industrial Revolution, driven by automation, IT, and digitisation, began to take shape in the late 20th century after India gained independence in 1947. The era was marked by significant transformations, especially in the 1990s. India’s economic liberalisation marked a turning point as the government moved away from socialist-style policies and began opening up to foreign investment, privatisation, and deregulation. This created the conditions for India to leverage the technological advances of the Third Industrial Revolution. In the 1990s, India became a global hub for software development and IT outsourcing, with cities like Bangalore and Hyderabad emerging as major IT centers. Indian companies like Infosys and Tata Consultancy Services (TCS) grew rapidly, and the country became known as the “back office of the world”. The growth of mobile phones, internet access, and low-cost smartphones transformed Indian communications, leading to a more connected society and significant opportunities for remote education, business, and services. Economic growth accelerated in the 1990s, particularly in the IT and service sectors, fuelling job creation and urbanisation. India made significant strides in the digital economy, improving efficiency and productivity in various sectors, including agriculture, healthcare, and education. However, challenges remained, such as infrastructure deficits, low levels of manufacturing, and inequality.
Fourth Industrial Revolution (Industry 4.0). The Fourth Industrial Revolution is ongoing and is characterised by the integration of cyber-physical systems, innovative technologies, and AI-driven automation across industries. It represents the fusion of the physical, digital, and biological worlds, driven by the unprecedented speed of technological advancements. Artificial Intelligence (AI) and Machine Learning (ML) are being used for predictive analytics, process optimisation, and automation across various sectors (from manufacturing to healthcare). The proliferation of IoT devices is creating smart factories, cities, and homes, with interconnected devices communicating and sharing data. Advanced and autonomous robots and drones are being used in manufacturing, logistics, and healthcare. 3D Printing (Additive Manufacturing) can create complex, customised products with less wastage, revolutionising the aerospace, healthcare, and construction industries. Blockchain technology is transforming finance, supply chain management, and healthcare industries by providing secure, transparent transactions. Smart manufacturing and personalised products are becoming the norm. Increased focus is on sustainability, as advanced technologies help improve efficiency and reduce environmental impact. There is a rise of data-driven business models, where data is a key asset for companies. The rise of automation and AI is creating new opportunities for skilled workers in tech-driven industries but causing concerns about job displacements. Changes to global supply chains, with digital twins and real-time data, provide greater efficiency and flexibility.
Industry 4.0: Impact on India. India is actively engaging with the Fourth Industrial Revolution, driven by AI, IoT, robotics, big data, blockchain, and smart manufacturing technologies. India’s response has been multifaceted. The Digital India campaign launched in 2015 aims to provide internet access to all citizens, increase the use of digital technologies in government services, and promote e-commerce and start-ups. This initiative has expanded internet connectivity and increased digital literacy. The Indian manufacturing sector is gradually adopting Industry 4.0 technologies like IoT, cloud computing, and advanced robotics. The Make in India initiative (launched in 2014) encourages investment in manufacturing and aims to make India a global manufacturing hub. India is investing heavily in AI, focusing on healthcare, agriculture, education, and urban planning. The government’s National AI Strategy aims to make India a leader in AI by 2030. AI, IoT, and drones are used in agriculture for precision farming and improving productivity. Apps are helping farmers access better market prices and agricultural advice. Smart city initiatives are being launched in cities like Bhubaneswar, Pune, and Ahmedabad, integrating digital technologies like sensors and smart grids to improve urban living standards. India has the potential to become a global leader in technology and innovation, but there are still significant gaps in infrastructure, digital literacy, and skilled labour. While tech-driven industries have flourished, manufacturing and rural areas are still catching up with automation and smart technologies. There are concerns about job displacement due to automation, but upskilling programs are being rolled out to ensure the workforce is ready for the new digital economy.
India’s Industrial Policy: Successes and Failures.
India’s industrial policy has evolved dramatically since its independence in 1947. Successive governments have attempted to foster economic growth, self-reliance, and industrial development. Both successes and failures have marked the journey, and the country’s industrial policy continues to evolve in response to changing global and domestic challenges.
The Early Years (1947–1960s): A State-Led Vision. India faced several economic challenges during independence, including widespread poverty, underdeveloped infrastructure, and agricultural dependence. India’s first Prime Minister, Jawaharlal Nehru, envisioned transforming the country into a self-sufficient industrial economy independent of foreign domination. The Industrial Policy Resolutions of 1948 and 1956 were central to this vision. The 1948 Industrial Policy laid the groundwork for India’s industrialisation by categorising industries into three lists: public sector, private sector, and mixed sector. The 1956 Industrial Policy Resolution was more ambitious, emphasising the development of heavy industries, including steel, coal, and electricity. It sought to build the foundation for a planned economy, where the government played a leading role in industrial development through public sector enterprises (PSEs). Defence, railways, and energy sectors were nationalised to ensure strategic control. The public sector became the backbone of India’s industrialisation, establishing companies like the Steel Authority of India (SAIL) and Bharat Heavy Electricals Limited (BHEL). Industrial infrastructure, such as power plants and transportation networks, began to develop, fueling growth in other sectors. However, the state-driven approach led to few inefficiencies. Public sector enterprises were often plagued by bureaucratic red tape and a lack of competition. Over-regulation and a focus on import substitution stifled innovation and private enterprise. The ‘License Raj’ system, introduced in the 1950s, required businesses to obtain government permits for even modest expansions, creating an environment of inefficiency and stagnation.
The License Raj (1960s–1980s): Protectionism and Stagnation. In the 1960s and 1970s, India’s industrial policy became more protectionist, emphasising self-reliance and import substitution. The government imposed high import tariffs and relied on state-run industries to drive economic growth. This period was characterised by extensive regulation, government control, and the License Raj, which restricted the entry and development of private industries. Under this framework, large public sector corporations were created to operate in sectors like steel, oil, and telecommunications, while private industries were subject to tight controls. The government also focused on large-scale infrastructure projects to meet the country’s basic needs. Public sector enterprises were crucial in building foundational industries such as steel, electricity, and transportation. Major infrastructure projects, such as the development of the Indian Railways and major steel plants, helped lay the foundation for industrial growth. However, the policy of protectionism often backfired. The License Raj restricted the growth of smaller businesses and stifled entrepreneurship. The system of permits and controls created an atmosphere of corruption and inefficiency, while large companies focused on bureaucratic hurdles instead of innovation. Industrial growth remained stagnant in many sectors, and India’s manufacturing sector failed to achieve global competitiveness, mainly due to a lack of technological innovation and investment.
The Liberalisation Era (1991–2000s): Reform and Opening Up. The most significant shift in India’s industrial policy came in 1991 when the country faced an economic crisis. With a balance-of-payments crisis and a stagnant economy, India embarked on a series of reforms to liberalise the economy. The new industrial policy, unveiled in 1991, dismantled the License Raj, allowing private enterprises to flourish and foreign direct investment (FDI) to flow into the country. The 1991 reforms also included reducing tariffs, deregulating industries, and encouraging private investment in sectors previously dominated by state-owned enterprises. The government reduced its direct control over industrial industries and focused on creating an enabling environment for businesses to thrive. Liberalising India’s economy significantly increased foreign direct investment (FDI) and boosted the private sector. The IT and services sectors experienced remarkable growth, positioning India as a global software and IT outsourcing leader. The emergence of IT giants like Infosys, Wipro, and Tata Consultancy Services (TCS) transformed India’s economic landscape. India also experienced a substantial increase in exports, particularly in pharmaceuticals, textiles, and engineering goods. While services like IT and telecommunications flourished, the manufacturing sector struggled to grow simultaneously, lagging behind other emerging economies. Regional disparities in industrial development persisted, with major cities like Mumbai, Delhi, and Bangalore benefiting more from liberalisation, while smaller towns and rural areas saw limited growth. Infrastructure bottlenecks, such as poor roads, outdated ports, and power shortages, continued to constrain industrial development.
Contemporary Industrial Policy (2010s–Present): Innovation and Sustainability. In recent years, India has focused on fostering innovation, enhancing manufacturing capabilities, and promoting sustainable growth. The government introduced initiatives like Make in India (2014) and Atmanirbhar Bharat (Self-Reliant India) to boost manufacturing, promote domestic production, and reduce dependence on imports. The National Manufacturing Policy, introduced in 2011, aimed to increase the manufacturing sector’s contribution to GDP and create millions of jobs. In addition to manufacturing, there is a significant emphasis on digital transformation and innovation. The Digital India initiative and push for smart manufacturing technologies like the Internet of Things (IoT), artificial intelligence (AI), and robotics have become key drivers of the new industrial vision. Manufacturing sectors, particularly defence, electronics, and renewable energy, have grown. India has attracted significant foreign investment in automotive, renewable energy, and electronics manufacturing industries. Startups, particularly in technology and fintech, have flourished, leading India to become one of the world’s largest startup ecosystems. Despite efforts to promote “Make in India,” India remains heavily dependent on imports for critical goods, particularly in the electronics, machinery, and oil sectors. The manufacturing sector still struggles with low productivity, skill mismatches, and limited technological adoption, particularly in traditional sectors like textiles and heavy machinery. Infrastructure issues, particularly logistics and energy, continue to hamper industrial growth.
Future Prospects.
India’s industrial policy must address key challenges such as improving infrastructure, boosting manufacturing competitiveness, and fostering innovation. It should embrace Industry 4.0 technologies like AI, robotics, and IoT to enhance manufacturing efficiency, improve product quality, and create high-tech jobs. Promoting green technologies and sustainable manufacturing processes to align with global environmental goals. India has immense potential to be a leader in renewable energy, electric vehicles, and green manufacturing. Addressing skill gaps through focused training programs to match the evolving needs of industries. A skilled workforce is critical to driving innovation and improving productivity, improving logistics, reducing bottlenecks, and modernising infrastructure in key sectors like energy, transport, and digital connectivity and ensuring that industrial growth is inclusive by promoting development in underserved regions and sectors, mainly through the support of MSMEs (Micro, Small, and Medium Enterprises).
As India looks toward Industry 5.0, it will focus on enhancing human-machine collaboration and making technological advancements more sustainable and inclusive. The country will aim for human-centric industries, where technology augments human capabilities rather than replaces jobs. India is already taking steps towards green manufacturing and using renewable energy sources. Circular economy models will gain more traction in textiles, electronics, and automobiles. As automation increases, India must focus on developing a skilled workforce capable of working alongside robots and AI, emphasising sectors like healthcare, advanced manufacturing, and engineering. India is expected to see significant advancements in AI-driven healthcare, telemedicine, and precision medicine, potentially leading to universal healthcare access.
Conclusion.
India experienced and continues to experience the effects of industrial revolutions differently. It faced challenges in the early stages due to colonialism. Still, with economic liberalisation and the rise of IT and digital technologies, it has become an industrial powerhouse in software, telecom, and services. The next phase, Industry 5.0, promises to create more human-centric, sustainable, and technologically advanced industries, though challenges in infrastructure, digital equity, and job displacement must be carefully addressed.
India’s industrial policy has also come a long way, from state-led, protectionist measures to liberalisation and reforms aimed at global competitiveness. The successes and failures of past policies offer valuable lessons as India charts its path forward. To achieve sustainable and inclusive growth, India must continue to adapt its industrial policies, focusing on innovation, technology, and infrastructure while fostering an environment of competition and entrepreneurship. The future of India’s industrial landscape lies in its ability to embrace new technologies, meet global standards, and capitalise on its demographic and economic potential.
Roy, T. (2011). The Economic History of India, 1857–2010. Oxford University Press.
2 . Mazumdar, S. (2018). Industrial Policy in India after Liberalisation: Industrial Growth and the Role of Government.Economic & Political Weekly, 53(47).
Aghion, P., Burgess, R., Redding, S., & Zilibotti, F. (2008). The Unequal Effects of Liberalization: Evidence from Dismantling the License Raj in India.American Economic Review, 98(4), 1397–1412.
Nayyar, D. (2019). Industrialisation in India: A Historical Perspective.The Indian Journal of Labour Economics, 62(1), 19-41.
Government of India. (1956). The Second Five-Year Plan: Industrial Policy Resolution 1956. Planning Commission of India.
Panagariya, A. (2004). India in the 1980s and 1990s: A Triumph of Reforms.IMF Working Paper 04/43.
Subramanian, A. (2017). India’s Industrial Policy: Steadying or Retreating?Peterson Institute for International Economics Working Paper.
Chakraborty, L., & Chandrasekhar, C. P. (2020). Industrial Policy and Structural Change in India.UNCTAD Research Paper No. 51.
Krishnan, R. T., & Jha, A. (2021). India’s Fourth Industrial Revolution: Prospects and Challenges. Brookings Institution.
The Economist. (2022). India’s Manufacturing Push: A Reality Check on Atmanirbhar Bharat.
World Economic Forum. (2023). The Future of Manufacturing in India: AI, Automation, and Sustainability.
Chibber, V. (2003). Locked in Place: State-Building and Late Industrialisation in India. Princeton University Press.
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.
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.
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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Bendett, Samuel & Kania, Elsa (2019). Battlefield Singularity: Artificial Intelligence, Military Revolution, and China’s Future Military Power. Center for a New American Security.
Horowitz, Michael C. (2019). AI and the Future of War: The Risks and Benefits of Military AI Systems. Texas National Security Review.
Geist, Edward (2020). How AI Could Destabilize Nuclear Deterrence. RAND Corporation.
Sayler, Kelley M. (2021). Artificial Intelligence and National Security. Congressional Research Service Report.
Lee, Kai-Fu (2018). AI Superpowers: China, Silicon Valley, and the New World Order. Houghton Mifflin Harcourt.
Agrawal, Ajay, Gans, Joshua, & Goldfarb, Avi (2018). Prediction Machines: The Simple Economics of Artificial Intelligence. Harvard Business Review Press.
Schmidt, Eric & Rosenberg, Jonathan (2021). The Age of AI: And Our Human Future. Little, Brown and Company.
Feldman, P. J. (2021). AI and the Economic Balance of Power: Competing for the AI Edge. Center for Strategic and International Studies (CSIS).
Hajian, Sara, Bonchi, Francesco, & Castillo, Carlos (2016). Algorithmic Bias: Detection, Influence, and Mitigation in AI-based Decision-Making Systems. ACM Transactions on Knowledge Discovery from Data.
West, Darrell M. (2018). The Future of Work: Robots, AI, and Automation. Brookings Institution Press.
Helbing, Dirk (2021). The Digital Coup: How AI and Big Data Reshape Political Power. Springer.
Taddeo, Mariarosaria & Floridi, Luciano (2018). Regulating Artificial Intelligence and Big Data: A Framework for Digital Sovereignty. Ethics and Information Technology.
Brundage, Miles, Avin, Shahar, et al. (2018). The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation. University of Oxford.
Russell, Stuart (2019). Human Compatible: Artificial Intelligence and the Problem of Control. Viking.
Floridi, Luciano (2020). The Ethics of Artificial Intelligence in International Affairs. AI & Society Journal.
Rahwan, Iyad et al. (2019). Machine Behavior: Understanding the AI-Driven World. Nature.
United Nations Office for Disarmament Affairs (UNODA) (2021). Artificial Intelligence and the Challenges of Global Governance.
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