People across the globe have created a buzz about the launch of ChatGPT as it enters the artificial intelligence domain without major competitors. DeepSec announced a series of highly efficient models which provide competitive prices to the market. India remains trailing in the development of its own language model that powers automated chatbot operations.
The Indian government declared that it will deploy an AI model like DeepScience through providing thousands of high-performance chips to research groups and universities for AI development which could finish in under 10 months per BBC reporting.
Various leaders in global artificial intelligence sphere recently discussed the opportunities present in India. OpenAI Chief Executive Sam Altman declared in this month that India needs to take a leadership position within the AI revolution. The user base of OpenAI currently ranks India as its second-biggest market.
Microsoft and Nvidia among other companies invested heavily by committing $3 billion to cloud infrastructure and AI development with Jensen Huang acknowledging India’s exceptional technical workforce as the main element unlocking its future AI potential.
India stands to lose its position in the AI race because leaders in the field show increasing interest while basic reformations in education, research together with government policy remain inadequate.
India's position among AI giants
According to technology analyst Prasanto Roy China together with the US leads the rest of the world in AI development because they invested heavily in research and academics leading to military and law enforcement AI applications and most recently large language models.
The Stanford University AI Vitality Index positions India at number five in the global rankings yet the country trails behind the US and China in various essential aspects he explained.
Over thirteen years starting from 2010 China received 60% of all AI patents globally with the United States obtaining 20% and India securing less than 50% of the total patents.
For the year 2023 Indian AI startups gathered just small portions of the funding that US and Chinese companies acquired.
Indian funding for its AI initiative amounts to $1 billion while the allocations from China and the United States surpass it by great margin with China investing $137 billion to establish global AI leadership by 2030 and the US investing $500 billion to develop its massive AI infrastructure through its Stargate project.
Challenges facing India in the AI sector
Jaspreet Bindra founder of a consultancy building AI skills in organizations says Indian industry and government funding shortages act as a major obstacle for the adoption of the technology at a lower cost.
The evidence suggests deeper funding supports this project even though DeepSec presented a $5.6 million prototype to the public according to Bindra.
The multiple languages that exist in India create a significant barrier for AI since there is insufficient validated dataset material available to train AI systems for languages such as Hindi, Marathi or Tamil.
Despite its difficulties India possesses a workforce greater than its population dimensions. The nation represents 15% of the worldwide total workforce dedicated to Artificial Intelligence. The research conducted by Stanford reveals that most AI professionals have chosen to depart from India which represents a significant problem. According to Bindra the main reasons behind this stem from deep R&D conducted at foreign companies through their university and research laboratories.
India struggles to establish a research environment that would both support and foster advanced technological innovations including artificial intelligence regardless of academic institutions or private business organizations.
The predicted $200 billion outsourcing operation at Bengaluru would have numerous programmers yet failed to materialize because Indian technology providers mainly concentrated on low-cost service delivery instead of investing in consumer-oriented AI innovation.
The analyst Roy explains that these companies have created substantial opportunities for startups to take advantage of. Security regulators across India believe the nation will not produce results comparable to DeepSec throughout the upcoming several years.
The initial step for India in entering the AI field should involve developing applications from open source platforms like DeepSec according to Bhavish Agrawal who is the founder of Krutrim one of India’s longest established AI companies.
Experts agree on the need for a basic model to establish strategic independence in this sector as well as reduce import dependency and mitigate the risk of sanctions through the long term.
The gap between India and the United States and China regarding advanced models will narrow only after India boosts its computing power and develops comprehensive infrastructure which includes semiconductor production.
