Artificial intelligence (AI) is set to change the game for Indian companies in 2025, and AI-driven revenue generation is expected to take center stage. At the same time, the Indian government is working to create an adequate computing infrastructure that will be available by mid-2025, while also looking for ways to establish an ethical framework for artificial intelligence.
According to IBM (NASDAQ: IBM) studyin 2025, the main focus of AI investment for Indian organizations will be on improving user experience (27%), planning and strategy (16%), and optimizing IT functions (16%). To realize these goals, organizations face key challenges, including data availability issues (46%), limited AI skills (42%), and integration and scaling issues (38%).
“In 2025, AI is expected to be a game-changer for Indian businesses, revolutionizing productivity and enabling unprecedented scalability,” said Sandip PatelManaging Director, IBM India and South Asia.
“As we strive for the vision of a Vixite Bharat (developed country by 2047), the focus will be on the responsible use of AI to create real business value – through low-risk experiments to strategic initiatives that deliver competitive advantage and improved ROI. Additionally, the rise of small, high-performance AI models will redefine efficiency and deliver task-specific results that rival larger models at a fraction of the cost,” added Patel.
India launched India AI mission March 2024 to strengthen India’s global leadership in AI and democratize advantages of AI in all walks of life.
To provide an opportunity to explore the potential of artificial intelligence in solving critical challenges, IndiaAI he started the second round of Expression of Interest (EoI) open to Indian academic institutes and organizations, autonomous bodies, research and development institutes and organizations, startups and companies. The deadline for submitting applications is January 9.
Five themes have been identified for which organizations can submit their proposals for the development of practical tools and frameworks in collaboration with other partners. These include watermarking and tagging to develop authentication tools AI-generated content; ethical frameworks of AI align with global standards and ensure that AI respects human values and promotes justice; AI risk assessment and management to create tools for the safe use of AI in public services; as well as deepfake detection tools that allow real-time identification and mitigating deep fakespreventing disinformation and damage to a safe and trusted digital ecosystem.
This initiative is aligned with the Government of India’s vision of harnessing artificial intelligence for inclusive growth.
“In 2025, I foresee artificial intelligence being deeply integrated with blockchain, especially for data integrity and fraud detection, which will increase trust in digital systems,” he said. Rohan Sharanfounder and CEO Timechain Labsapplication development company in the chain that uses BSV blockchain technology.
Key expectations
Raj Kapoorpresident of the Global Alliance for Ethical AI Innovation, told CoinGeek that despite progress, there are still obstacles such as limited AI expertise, ethical concerns and inconsistent leadership commitment.
“Fixing these gaps could accelerate adoption in 2025. Future areas of focus include responsible and ethical AI, scaling up reliable AI solutions, strengthening governance and integrating AI into underperforming sectors,” said Kapoor.
“Key expectations for 2025 include the further democratization of AI tools, a significant increase in generative AI for personalized applications, and strengthened public-private partnerships to ensure inclusivity. The Global Alliance for Ethical Artificial Intelligence and Innovation was also established to address this,” he added.
Apart from the federal government, the central bank of India also has announced its plans to establish a committee to develop a framework for the ethical enablement of artificial intelligence for the financial sector. The committee, comprising experts from various fields, will be tasked with recommending a robust, comprehensive and flexible AI framework for the financial sector. at the same time RBI introduced an artificial intelligence/machine learning (AI/ML)-based model, MuleHunter.AI, developed by the Reserve Bank Innovation Hub (RBIH), to combat digital fraud. The artificial intelligence model should also help banks in solving the problem mule bank accountsa typical tactic used by fraudsters to direct the profits of their fraudulent activities.
At the same time, India has also called upon scientists and engineers to gain control over cutting-edge technologies such as AI and quantum computingto further strengthen India’s position in advanced, frontier and cutting-edge innovations.
“We are currently in the initial stages. Our goal should be first to gain control of these technologies so that in the future they can be used for the well-being of people to meet their immediate basic needs.” Rajnath SinghIndian Defense Minister, said.
AI computing capabilities by mid-2025
As part of the IndiaAI mission, various stakeholders will be given access to supercomputing resources, including over 10,000 GPUs, to drive the development of the AI ecosystem. According to Abhishek SinghAdditional Secretary, Ministry of Electronics and Information Technology (MeitY), AI computing capabilities will be available by mid-2025.
“As we move into 2025, we can expect continued investment in AI infrastructure and a focus on building India-specific use cases, ethical AI practices, supported by public-private partnerships aimed at driving innovation,” Sharat Chandrafounder of EmpowerEdge Ventures and a startup enabler, CoinGeek said.
According to Amit Kumar Guptajurist at the Supreme Court of India, explainable AI programs and government AI talent programs will promote ethical adoption and upskilling. AI startups will expand into niche areas, while SMEs adopt affordable AI solutions for operational efficiency.
“AI will advance manufacturing, management and healthcare, with a focus on predictive maintenance, e-governance and personalized medicine,” added Gupta.
In order for artificial intelligence (AI) to comply with the law and thrive in the face of mounting challenges, it must integrate an enterprise blockchain system that ensures data entry quality and ownership – allowing it to secure data while ensuring data immutability. Check out CoinGeek’s coverage about this emerging technology to learn more why Enterprise blockchain will be the backbone of AI.
Watch: India to be a digitization leader
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