Artificial Intelligence (AI) is revolutionizing the global landscape, and India is at the forefront of this transformation. With a rapidly growing digital economy, increasing internet penetration, and a thriving tech industry, AI is set to play a pivotal role in India’s future. According to a report by NASSCOM, India's AI market is expected to reach $7.8 billion by 2025, growing at a rate of 20.2% annually. The McKinsey Global Institute estimates that AI could add $500 billion to India’s GDP by 2025, boosting productivity across industries. From healthcare and education to agriculture and governance, AI is enhancing efficiency, automating processes, and driving innovation. The Indian government has recognized AI’s potential, launching initiatives like ‘AI for All’ and ‘National AI Strategy’ to promote AI adoption, research, and development. AI-powered chatbots, predictive analytics, automation, and deep learning models are already transforming business operations and public services, making India one of the fastest-growing AI economies.
While AI presents enormous opportunities, it also comes with challenges such as job displacement, data privacy concerns, and ethical dilemmas. Reports from PwC India suggest that AI-driven automation could impact up to 69% of existing jobs, but at the same time, it is expected to create millions of new jobs in AI development, machine learning, and data science. In healthcare, AI-driven tools are reducing diagnostic errors by up to 30%, as per a Deloitte report, while in agriculture, AI-based solutions are improving crop yield by 15-20%. AI is also enhancing governance through smart cities, AI-driven policy-making, and improved law enforcement. However, for AI to truly transform India’s future, investments in AI education, ethical AI policies, and responsible AI deployment are crucial.
AI includes technologies such as machine learning and natural language processing. These tools are revolutionizing how we live and work. This guide explores how AI will transform India. It looks at opportunities and challenges ahead.
AI in India's Key Industries
AI is no longer limited to technology companies—it is transforming nearly every industry in India. From smart agriculture and AI-powered healthcare solutions to algorithmic trading in finance and automation in manufacturing, AI is revolutionizing traditional business models and enhancing productivity. Let’s dive into how AI is reshaping these key industries.
1. Agriculture: Revolutionizing Farming Practices
India’s agricultural sector, which employs nearly 58% of the population, faces numerous challenges, including unpredictable weather, inefficient resource utilization, and pest infestations. AI is helping to overcome these challenges by providing data-driven insights and automation tools that improve productivity and sustainability.
AI-powered sensors analyze soil quality and moisture levels, helping farmers make informed decisions about irrigation and fertilization.
Drones equipped with AI assess crop health, detect diseases, and optimize pesticide usage.
AI-driven weather forecasting models help farmers prepare for extreme climatic conditions and reduce crop losses.
Predictive analytics enables farmers to determine the best sowing and harvesting times, improving overall yield.
According to a study by PwC India, AI adoption in agriculture has the potential to increase crop productivity by 15-20% while reducing resource wastage.
2. Healthcare: Transforming Diagnostics and Treatment
AI is revolutionizing healthcare by improving disease detection, diagnosis, and personalized treatment plans. India, with its large population and overburdened healthcare infrastructure, is benefiting significantly from AI-driven medical solutions.
AI-powered diagnostic tools analyze medical images (X-rays, MRIs, CT scans) with high accuracy, detecting diseases like cancer at early stages.
AI-driven drug discovery accelerates the identification of potential treatments, reducing research and development costs.
Telemedicine powered by AI bridges the urban-rural healthcare gap, providing remote consultations and diagnoses.
AI chatbots and virtual health assistants provide 24/7 healthcare support and appointment scheduling.
A Deloitte report states that AI-driven healthcare solutions can reduce diagnostic errors by up to 30%, improving patient outcomes and medical efficiency.
3. Finance: Enhancing Efficiency and Security
India’s financial sector is undergoing rapid AI-driven transformation, enhancing fraud detection, customer service, and investment strategies.
AI-powered fraud detection systems analyze transaction patterns to detect suspicious activities in real time, reducing financial fraud.
Algorithmic trading uses AI to analyze market trends and execute trades with high precision, optimizing investment returns.
AI-driven chatbots provide instant customer support, answering queries and resolving banking issues 24/7.
Robo-advisors offer AI-powered financial planning, helping investors make data-driven decisions.
According to McKinsey India, AI in finance could contribute $60 billion annually by 2030 through improved efficiency and risk management.
4. Manufacturing: Optimizing Production Processes
India’s manufacturing sector is leveraging AI for automation, predictive maintenance, and supply chain optimization.
AI-powered robots automate repetitive tasks, increasing production efficiency and reducing errors.
Predictive maintenance uses AI to detect potential machine failures before they occur, minimizing downtime and saving costs.
AI-driven supply chain management ensures timely delivery of raw materials, optimizing inventory and logistics.
Smart factories integrate AI to streamline production processes, making manufacturing more agile and cost-effective.
The World Economic Forum predicts that AI adoption in manufacturing could increase efficiency by 30-40%, giving India a competitive edge in global markets.
Top 10 Benefits of AI in India
Artificial Intelligence (AI) is rapidly transforming various sectors in India, offering numerous benefits that contribute to the nation's development. Here are ten key advantages of AI implementation in India:
Enhanced Healthcare Services: AI assists in accurate diagnosis, personalized treatment plans, and efficient patient management. For instance, during the COVID-19 pandemic, AI tools like Qure.ai's chest X-ray reporting system were utilized to identify high-risk patients, facilitating timely interventions.
Agricultural Advancements: AI-driven solutions provide farmers with real-time data on weather conditions, soil health, and crop management, leading to improved yields and reduced costs. Platforms like KissanAI's Dhenu 1.0 offer voice-based, tailored assistance to Indian farmers, enhancing decision-making processes.
Educational Improvements: AI automates administrative tasks such as grading and attendance, allowing educators to focus more on teaching. It also offers personalized learning experiences, adapting to individual student needs to enhance educational outcomes.
Economic Growth: The integration of AI in various industries is projected to boost India's economy. For example, adopting generative AI could increase the productivity of India's IT industry by 43%-45% over the next five years, impacting around 500 roles.
Improved Customer Service: AI-powered chatbots and virtual assistants provide 24/7 customer support, addressing queries promptly and enhancing customer satisfaction.
Financial Services Optimization: AI aids in fraud detection, risk assessment, and personalized banking services, leading to more secure and efficient financial operations.
Environmental Conservation: AI contributes to monitoring ecosystems, predicting poaching activities, and identifying deforestation through satellite imagery, thereby supporting conservation efforts.
Transportation Safety: Advancements in AI, such as driverless cars and sophisticated driver-assistance systems, improve road safety by reducing the likelihood of accidents caused by human errors.
Efficient Public Services: AI enhances the efficiency of public services by automating routine tasks, analyzing data for better decision-making, and improving resource allocation.
Promotion of Indigenous AI Development: Initiatives like BharatGen focus on creating AI models that consider India's linguistic and cultural diversity, reducing reliance on foreign AI models and fostering homegrown innovation.
The integration of AI across these sectors signifies a transformative period in India, fostering innovation, efficiency, and inclusive growth.
The Evolution of AI in India
Early Days (1960s–1980s)
India’s journey with artificial intelligence began alongside its early computing developments. Pioneering work started in the 1950s and 1960s with the design and development of the TIFRAC (Tata Institute of Fundamental Research Automatic Calculator) led by Rangaswamy Narasimhan. From 1961 to 1964, Narasimhan’s research in pattern recognition at the University of Illinois Urbana-Champaign laid an early foundation for AI in India. Key initiatives during these formative years included:
Foundational Institutions and Programs:
- The establishment of the National Centre for Software Development and Computing Techniques by Narasimhan and M. G. K. Menon.
- Formation of the Computer Society of India in 1965, which supervised early AI research at the Tata Institute of Fundamental Research.
- Introduction of computer science as an academic discipline, marked by Jagdish Lal launching the first computer science program in 1976 at Motilal Nehru Regional Engineering College.
Academic Pioneers:
- At IIT Kanpur, figures such as H. K. Kesavan and Vaidyeswaran Rajaraman integrated AI topics into computer science curricula after joining in the early 1960s.
- John McCarthy’s 1971 visit to IIT Kanpur and his donation of a PDP-1 with a time-sharing operating system underscored India’s growing connection to global AI research.
Foundation Phase (1980s–1990s)
The 1980s witnessed the consolidation of AI research and its application in key sectors. During this period, several landmark projects were initiated:
Early AI and Machine Learning Projects:
- The Indian Statistical Institute (ISI) launched an Optical Character Recognition (OCR) project, one of the nation’s first explorations in AI and machine learning. The work of Bidyut Baran Chaudhuri in computer vision and digital image processing played a vital role.
- The Knowledge Based Computer Systems Project was initiated in 1986 under the Indian Fifth Generation Computer Systems Research Programme, marking India’s first major AI research program. This effort, supported by the United Nations Development Programme, set the stage for AI in natural language processing, speech, and image processing.
Supercomputing and Language Technologies:
- The proposal and eventual installation of supercomputers, such as the XMP-14 at IIT Madras in 1973 and later the PARAM series developed by C-DAC, demonstrated the country’s commitment to advanced computing.
- Research groups, like the Akshar Bharati Research Group (1984), were established to focus on computational linguistics and Indian language processing, paving the way for early natural language processing and translation projects.
Academic Integration:
- The computer science program at IIT Kanpur officially split from the Electrical Engineering department in 1971, reinforcing a dedicated focus on computing, including AI.
- Pioneering courses on AI and pattern recognition were introduced in the early 1970s, embedding AI into India’s educational fabric.
Growth and Acceleration Phase (2000s–Present)
Since the turn of the millennium, AI in India has evolved rapidly from academic research into a dynamic field with applications across various sectors:
Expansion of Research and Application:
- Leading institutions like the International Institute of Information Technology, Hyderabad, and IITs across the nation have grown robust AI research groups focusing on computer vision, machine learning, and data science.
- Collaborations with industry and government initiatives have spurred applications in healthcare, agriculture, smart cities, and more.
Key Milestones and Projects:
- The establishment of centers and innovation hubs, such as the Centre for Machine Intelligence and Data Science at IIT Bombay and AI4ICPS at IIT Kharagpur, has fostered translational research.
- Initiatives like the Indian Driving Dataset in partnership with Intel, and AI-based platforms in healthcare and education, demonstrate India’s commitment to leveraging AI for societal benefit.
National Missions and Investments:
- Significant government investments and projects, such as the IndiaAI Mission and the National Mission on Interdisciplinary Cyber-Physical Systems, have laid a robust foundation for innovation.
- Collaborative ventures with industry giants (e.g., Microsoft-NITI Aayog) and generous donations to establish centers of excellence highlight a strategic focus on responsible AI development.
Legislation and Policy
While India does not yet have comprehensive AI-specific laws, several initiatives underscore its proactive approach to regulation:
- Policy Frameworks:
- NITI Aayog’s National Strategy for Artificial Intelligence (#AIForAll) outlines an inclusive vision for integrating AI in healthcare, agriculture, education, and smart cities.
- Principles for Responsible AI, released in 2021, address ethical considerations, accountability, and societal impacts.
- Data Protection and Global Collaboration:
- The Digital Personal Data Protection Act (2023) and participation in the Global Partnership on Artificial Intelligence (GPAI) reflect India’s efforts to balance innovation with ethical deployment.
This comprehensive journey from early research and academic integration to modern-day initiatives illustrates the evolution of AI in India as both a technological frontier and a transformative societal tool.
Challenges, Risks and their Solutions
Artificial Intelligence (AI) is transforming industries worldwide, and India is no exception. With a booming tech sector, increasing government initiatives like the National AI Strategy, and a growing interest in AI-driven solutions, India is poised to become a global AI powerhouse. However, despite these advancements, several challenges and risks must be addressed to ensure AI’s responsible and effective implementation. This blog explores the major hurdles, associated risks, and potential solutions to drive AI innovation while mitigating its negative impacts.
Challenges in AI Development in India
1. Lack of Skilled Workforce
India has a vast IT talent pool, but a significant shortage of professionals with expertise in AI, machine learning, and data science remains a major hurdle. While universities are introducing AI-related courses, there is still a gap between academic learning and industry requirements. Many professionals lack practical AI experience, making it difficult for businesses to find skilled talent.
Solution: The government, educational institutions, and private organizations should collaborate to introduce specialized AI courses, conduct hands-on training programs, and encourage industry-academia partnerships to bridge the skill gap. Offering AI boot camps, online certification programs, and AI-focused hackathons can also help accelerate learning.
2. Data Availability and Quality
AI thrives on data, but India faces challenges in terms of data accessibility, standardization, and quality. Many industries, especially in healthcare, agriculture, and manufacturing, do not have well-structured data repositories. Additionally, a lack of interoperability among different data sources hinders AI development.
Solution: Implementing robust data governance policies, promoting open data initiatives, and encouraging organizations to adopt standardized data formats can improve AI’s effectiveness. Developing a national data-sharing framework can enable seamless data access while maintaining security and privacy standards.
3. Infrastructure Limitations
AI development requires high computing power, cloud storage, and advanced infrastructure. While metropolitan cities have access to these resources, rural areas and tier-2 or tier-3 cities lack the necessary digital infrastructure, limiting AI expansion. The cost of high-performance computing (HPC) resources is another barrier.
Solution: Government and private sector investments in AI supercomputing facilities, cloud services, and high-speed internet access, especially in underserved regions, can boost AI development across the country. Expanding AI research labs and incubation centers in smaller cities can further democratize AI access.
4. Regulatory Uncertainty
India lacks clear and comprehensive regulations governing AI. Uncertainty around data privacy laws, AI ethics, and security policies create challenges for businesses and developers. This lack of legal clarity discourages investments and innovation.
Solution: The government must establish well-defined AI regulations focusing on data privacy, algorithmic transparency, and accountability while ensuring innovation is not stifled. A dedicated AI regulatory body can help enforce ethical AI practices.
5. Bias in AI Models
AI systems trained on biased datasets can reinforce social inequalities, leading to discrimination in hiring, lending, and law enforcement decisions. Since India is a diverse country with multiple languages, cultural differences, and social structures, biased AI can have severe consequences.
Solution: AI developers must ensure diverse datasets, conduct fairness audits, and implement bias mitigation techniques to create more inclusive AI systems. Encouraging AI ethics research and responsible AI frameworks will also reduce the risk of bias.
6. High Implementation Costs
The cost of AI adoption, including hardware, software, skilled personnel, and continuous maintenance, makes it difficult for small businesses and startups to leverage AI. Many organizations struggle to justify the return on investment (ROI) in AI solutions.
Solution: Government subsidies, tax benefits, and low-cost AI solutions tailored for startups and small businesses can accelerate AI adoption. Open-source AI tools and cloud-based AI services can reduce costs and make AI more accessible.
Risks Associated with AI in India
1. Job Displacement
Automation through AI threatens to replace low-skilled jobs, particularly in sectors like manufacturing, customer service, and logistics, leading to rising unemployment concerns. While AI creates new job opportunities, the transition can be disruptive.
Solution: Reskilling and upskilling programs must be implemented to prepare the workforce for AI-driven job roles, ensuring a smoother transition into the AI era. Introducing AI education at the school level can help future generations adapt to AI-driven workplaces.
2. Privacy and Security Threats
AI systems process massive amounts of personal data, making them vulnerable to cyber threats, unauthorized surveillance, and data breaches. Lack of robust cybersecurity measures can lead to data exploitation and misuse.
Solution: Implementing strong data protection laws, encryption techniques, and AI-driven cybersecurity solutions can safeguard sensitive data. Establishing independent AI ethics committees can enhance AI security governance.
3. Ethical Concerns
AI can be exploited for unethical purposes such as deepfakes, misinformation campaigns, and excessive surveillance. Without proper regulations, AI misuse can have severe social consequences, including election manipulation and identity theft.
Solution: Ethical AI development frameworks, strict monitoring, and awareness campaigns can ensure AI is used responsibly. AI-based fact-checking and content moderation tools should be encouraged to combat misinformation.
4. Dependence on Foreign AI Technologies
India heavily relies on AI technologies, research, and tools from global tech giants. Over-dependence on foreign AI solutions could limit India's ability to develop indigenous AI systems for critical sectors like defense, healthcare, and agriculture.
Solution: Encouraging AI startups, increasing investment in AI R&D, and fostering partnerships between academia and industry can boost indigenous AI development. The government should promote "Make in India" AI initiatives to reduce reliance on foreign technologies.
Solutions to Overcome AI Challenges and Risks
AI Education and Research: Establish AI research institutes, promote AI literacy in schools, and provide grants for AI innovation.
Data Policy and Ethics: Develop robust data-sharing frameworks, enforce strict data protection laws, and ensure ethical AI deployment.
Infrastructure Development: Expand cloud computing resources, invest in AI-driven 5G networks, and create AI innovation hubs.
Startup and SME Support: Offer financial incentives, low-interest loans, and mentorship programs for AI-driven startups.
Government and Industry Collaboration: Strengthen public-private partnerships to drive AI adoption in key sectors.
AI for Social Good: Leverage AI for rural development, healthcare advancements, and education accessibility.
Indigenous AI Development: Invest in local AI R&D, promote domestic AI startups, and reduce reliance on foreign technologies.
Cybersecurity and AI Ethics: Implement AI security frameworks, enhance AI governance, and promote transparency in AI decision-making.
AI's Impact on India's Economy
AI is not just improving industries—it is a major driver of economic growth, job creation, and innovation in India.
1. Job Creation and Transformation
AI will automate certain jobs, but it will also create millions of new opportunities in emerging fields such as AI development, machine learning, and data science.
AI specialists, data scientists, and automation engineers will be in high demand.
Traditional job roles will evolve, requiring workers to upskill in AI-driven decision-making and digital literacy.
AI-powered tools will enhance human productivity, creating a hybrid workforce where humans and AI collaborate.
According to a report by PwC India, AI-driven automation will impact up to 69% of existing jobs, but will also generate millions of new roles in the technology sector.
2. Economic Growth and Productivity
AI is expected to add $500 billion to India's GDP by 2025, significantly boosting productivity.
Process automation reduces operational costs and enhances efficiency.
AI-powered innovation leads to the creation of new products, services, and business models.
AI-driven advancements in agriculture, healthcare, and manufacturing contribute to faster economic development.
3. Investment and Innovation Landscape
India’s AI ecosystem is flourishing with startups, research institutions, and government initiatives.
AI startups are attracting global investors, fueling innovation in AI-driven solutions.
Government-backed initiatives like ‘AI for All’ provide funding and resources for AI research and development.
AI-focused collaborations between universities, tech companies, and policymakers are driving large-scale AI adoption.
Top 10 AI Companies in 2024
There are numerous artificial intelligence companies that offer solutions tailored for both individuals and businesses. These companies play a crucial role in advancing AI technology and its applications. Among the leading AI firms, several stand out for their innovative approaches and impactful services. These companies are instrumental in shaping the future of AI and providing valuable tools to enhance productivity and efficiency across various sectors. Below are the top 10 AI Companies in 2024 -
1. Persistent System
Persistent System, headquartered in New York City since 2007, is a multinational software development company offering a range of services including data and analytics, cloud infrastructure, product engineering, intelligent automation, and client experience transformation. With a strategic focus on artificial intelligence, IoT, and cloud security under CEO Sandeep Kalra, the company—founded in 1990—has grown to over 22,800 employees across 59 offices and generated revenues of 2.41 TCr, while its AI-driven features like smart assistants, NLP for data insights, and chatbots enhance customer support.
2. Zensar Technologies
Zensar Technologies, based in Pune, India, builds and manages digital products for Forbes Global 2000 clients across sectors such as banking, finance, insurance, and high-tech engineering, leveraging partnerships with over 60 technology providers including Salesforce, SAP, and Oracle. Led by CEO Manish Tandon and founded in 2001, the company operates from 33 offices with more than 10,500 employees and a revenue of 1.24 TCr, delivering digital solutions that often incorporate AI to drive innovation.
3. Saksoft
Saksoft, founded in 1999 and led by CEO Aditya Krishna, is a key provider of digital transformation solutions across multiple industries such as financial services, healthcare, banking, logistics, fintech, and transportation. Operating from 14 locations with over 5,000 employees and a revenue of 190.41Cr (till 2021), the company’s offerings integrate digital technology with AI, enabling businesses to streamline processes and enhance operational efficiency.
4. Kellton
Kellton Tech, an IT and digital technology consulting firm founded in 2009 under the leadership of CEO Karanjit Singh, delivers innovative digital and IoT solutions to a global clientele from 13 locations. With a revenue of 240.58Cr and a team exceeding 5,000 employees, Kellton focuses on providing personalized, value-driven solutions that often integrate AI capabilities to drive digital transformation and customer satisfaction.
5. Delta4 Infotech
Delta4 Infotech, the parent company of YourGPT, specializes in AI-driven solutions that empower businesses with advanced generative AI products. Headquartered in Chandigarh and led by CEO Rohit Joshi since its founding in 2022, the company has a lean team of over 15 professionals, a revenue of 10Cr (till Sept 2024), and offers innovative tools such as AI chatbots and LLM Spark to enhance productivity and innovation.
6. Fractal Analytics
Fractal Analytics, established in 2000 and guided by CEO Pranay Agrawal, provides AI-powered analytical solutions for consumer-facing companies, helping them boost customer loyalty and operational efficiency through data-informed decision-making. With a robust presence in 15 locations, over 4,000 employees, and revenues reaching 1985.4Cr, the company excels in leveraging AI to transform high-transaction environments across various industries.
7. Cyient Ltd
Cyient Ltd, founded in 1991 and led by CEO Karthikeyan Natarajan, combines deep engineering expertise with digital capabilities including AI, machine learning, and IoT to support engineering design and manufacturing services. Operating from 62 locations worldwide with 14,000 employees and a revenue of 1.78 TCr (till Sept 2023), Cyient integrates traditional engineering with advanced digital solutions to deliver innovative, technology-driven products.
8. Infosys
Infosys, a global IT powerhouse established in 1981 and under the stewardship of CEO Salil Parekh, offers comprehensive services ranging from system integration and application development to cloud services, IT consulting, and data analytics. With a vast global presence spanning 247 offices and around 335,186 employees, and a revenue of 471.8Cr, Infosys leverages AI to drive digital transformation and innovation across diverse sectors including retail, finance, manufacturing, energy, and healthcare.
9. Haptik
Haptik, founded in 2013 and steered by CEO Aakrit Vaish, is a rising star in conversational AI, enabling enterprises to develop natural language systems that facilitate interactive communication across 20 channels. Operating from 7 offices with over 350 employees and generating $100 million in revenue, Haptik’s AI-driven personalization helps brands effectively engage, convert, and acquire users through seamless digital interactions.
10. Arya.ai
Arya.ai, headquartered in Mumbai and established in 2013 under the leadership of CEO Vinay Kumar Sankarapu, delivers an “Autonomous AI” product stack designed for financial institutions. By leveraging deep learning technologies to automate and augment core business tasks, the company provides end-to-end AI solutions that streamline financial processes, operating with a nimble team of 11–50 employees and generating $6 million in revenue.
Overall, these companies illustrate the diverse applications of AI across various industries, emphasizing their roles in digital transformation and operational efficiency.
Government Initiatives and Policies
The Indian government is actively promoting AI adoption through various initiatives and regulatory frameworks.
National AI Strategy: A roadmap outlining India’s vision to become a global AI leader, focusing on key sectors such as healthcare, agriculture, and smart governance.
Skill Development Programs: AI education and training programs aimed at equipping the workforce with AI-related skills.
Regulatory Framework: Guidelines to ensure ethical AI usage, data privacy protection, and AI-driven security measures.
BharatGen
As of January 30, 2025, the framework for the AI model is complete, with the initial version expected within the next several months. The Bharat Data Sagar initiative was launched to collect essential training data for underrepresented Indian languages and dialects. Additionally, BharatGen introduced e-vikrAI in October 2024, facilitating e-commerce for non-English speaking vendors by automating product cataloguing and enhancing accessibility through translations. Overall, BharatGen aims to foster sustainable innovation and create tailored content that reflects India's rich linguistic landscape.
Conclusion: The AI-Powered Future of India
Artificial Intelligence is not just a buzzword—it’s the force that will redefine India’s future, transforming industries, boosting economic growth, and improving lives. From revolutionizing healthcare with early disease detection to enhancing education with personalized learning, AI’s positive impact is undeniable. It promises to drive efficiency in agriculture, streamline governance, and propel India toward becoming a global AI hub.
However, with great power comes great responsibility. AI also brings challenges that India must tackle head-on. Job displacement due to automation, ethical concerns regarding bias in AI models, and data privacy risks are significant hurdles. If not managed carefully, AI could widen social inequalities rather than bridge them.
The path forward lies in striking the right balance—leveraging AI’s benefits while mitigating its risks. With strong policies, investment in AI education, and a commitment to ethical AI development, India can ensure that this technological revolution uplifts every citizen. The future is AI-driven, and India has the potential to lead the charge, shaping a smarter, more inclusive, and prosperous tomorrow.
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