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A day after the survey report that said emerging economies trusted artificial intelligence the most, another survey finding has put India on top. India has emerged as a frontrunner in a recent survey by Statista Consumer Insights, which assessed the integration of artificial intelligence (AI) tools into daily life. The country outperformed Western nations, including the United States and the United Kingdom.
According to the survey results, 41% of Indian respondents reported using AI tools in their everyday routines. Brazil followed closely behind, with 33% of participants incorporating AI into their daily activities. Meanwhile, Mexico, Germany and the United Kingdom reported lower figures of 24%, 21% and 20%, respectively, for daily AI usage.
The United States recorded the lowest percentage of daily AI users at 20%.
Methodology
This survey was conducted with a sample of 1,250 individuals aged 18 to 64 across all participating countries between August and September 2024. Additionally, a report from Gartner predicts that by 2024, AI augmentation will generate $3.7 trillion in business value and save 8.1 billion hours of global worker productivity.
Research from Elsevier’s Insights further indicates that 67% of Indian researchers are likely to adopt AI tools within the next two to five years. AI is playing a crucial role in the modernisation of India, as highlighted in Deloitte's Tech Trends—India Perspective report.
This report notes that AI is fundamentally transforming core modernisation efforts in both the public and private sectors, with significant advancements seen in government, banking and telecommunications. It emphasises that AI is becoming integral to the core systems of government services, banking and telecom, leading to improved data sharing and enhanced user experiences.
However, the report also points out that these technological advancements come with challenges, requiring complex architectural changes to ensure scalability, security and long-term sustainability.
The report from Deloitte indicated that companies in India are swiftly embracing small, multimodal AI models. This adoption is aimed at providing solutions that are not only faster but also more efficient and tailored to meet the specific needs of consumers. As a result, businesses are enhancing their capabilities to deliver targeted services effectively.
Key areas of AI adoption
- Healthcare: AI is used for early disease diagnosis, personalised treatment plans, and drug discovery. AI-powered solutions are also improving access to healthcare in rural areas.
- Finance: AI is utilised for fraud detection, risk assessment, and customer service automation.
- Education: AI is being used to create personalised learning experiences and customised curricula.
- Agriculture: AI is helping farmers optimise crop yields, improve resource management, and address food security challenges.
- Smart cities and infrastructure: AI is used for traffic management, smart mobility, and improved infrastructure planning.
- E-commerce: AI-driven recommendation engines and chatbots are enhancing the shopping experience for consumers.
- Manufacturing: AI is used for predictive maintenance, quality control, and process optimisation.
Government initiatives and support
NITI Aayog's national strategy for artificial intelligence provides a framework for developing and deploying AI solutions across various sectors.
The 'AI for all' initiative aims to make AI accessible to everyone, regardless of their background or location.
The IndiaAI Mission focuses on building indigenous AI models, fostering AI education, and promoting AI-powered industries.
Challenges and opportunities
- Data privacy and security: Ensuring responsible data handling and protecting sensitive information is crucial.
- Skill gap: Addressing the shortage of skilled AI professionals is essential for driving innovation and growth.
- Ethical considerations: Addressing potential biases and ensuring fairness in AI algorithms is important.
- Infrastructure: Ensuring access to affordable and reliable AI infrastructure is key to scaling up AI adoption.
Examples of AI applications
- PM-Kisan chatbot: This AI chatbot helps farmers access information and resolve issues related to the PM-Kisan programme.
- Bhashini: This platform provides language technology solutions for a range of applications, including translation and natural language processing.
- India Urban Data Exchange (IUDX): This platform facilitates data sharing and collaboration among Indian cities for smart city initiatives.