Can India catch up with China in artificial intelligence? According to an MIT report, India is on course to become the third-largest economy in the world (by GDP) within the next few years. But the country is finding it hard to kick-start its own AI revolution. India is playing catch-up with China and the West in terms of technology, research prowess, investment, and most importantly, data, which is the lifeblood of AI. The report further states that the countries who have an AI advantage are eager to export the technology and ply data from users in developing nations to increase their lead. This could lead to international power dynamics, dividing nations into two distinct categories \u2014 the AI \u2018haves\u2019 and \u2018have-nots\u2019. The recent GDPR guidelines are a way to protect citizens\u2019 data from misuse. Now India\u2019s AI taskforce, established by the Government, identified 10 important domains of relevance, such as manufacturing, healthcare, education, retail, public utility services and national security, which could benefit from AI adoption. The report consists of five-year recommendation plan which outlines the action plan: Setting up six Centres of Excellence Setting up a generic AI test bed that could serve as a validation platform for AI-based technology developers Increasing awareness of AI through AI yatras Setting up a digital bank, marketplaces and exchanges to facilitate AI applications Establishing standards for design, development and deployment of AI-based systems AI-based curriculum, education and reskilling Leveraging key international relationships and participation in AI-based international standard-setting discussions Did India\u2019s Plan Lack Vision In an earlier article, we discussed how IBM\u2019s senior executive Ameer Shahul observed in a portal how India is too late to put its act together. But more importantly, the industry veteran pointed out key points about the AI Task Force and its lacklustre recommendations that reflect poor vision and strategy. Shahul pointed that a key reason for the lack of vision could be the AI Task Force is heavily made up of academicians and bureaucrats who lack a hands-on industry experience. Besides the committee failed to draw inputs from those in the know (stakeholders like investors, startups and leading companies in AI research like Microsoft, Google, Amazon and IBM, among others). There was also a lack of industry participation from bodies such as Data Security Council of India or National Association of Software and Services Companies. The task force\u2019s skewed representation \u2014 it is made up of six academicians, five bureaucrats, two independent consultants, and two representatives of Indian IT companies could have resulted in a lacklustre roadmap. China\u2019s AI Advantage China has had an early start, a robust digital infrastructure and their unmatched ability to produce PhD-level mathematicians and stem engineers. China\u2019s rise in AI has sparked geopolitical discourse and much of their economic growth can also be attributed to AI development. A recent analysis by Accenture revealed that AI has the potential to add as much as 1.6 percentage points to China\u2019s economic growth rate by 2035. In China\u2019s case \u2014 AI is seen as a new factor of production rather than just a productivity enhancer. This is one of the cases which could translate into a significant increase in projected growth. India Must Create A Playbook For AI Development The real value of AI development in the public sector can only be realised from civilian applications which are embedded in daily lives. Top AI researchers are keen to work on applications for social good and to fully exploit AI\u2019s potential for economic growth. Indian policymakers should address the key challenges of revamping technological infrastructure. While Indian IT companies and domestic firms are integrating AI into their strategies and creating new AI playbooks to boost business, the government should advocate investing in developing capabilities such as data management and augmenting the current skill set by giving professionals a chance to reboot and enhance their skills. Policymakers should also advocate a code of ethics. There are three focus areas to tackle challenges in AI development: Build strategic awareness among stakeholders in the public sector Deepen the technical know-how through collaborations Outline a budget for overall implementation costs Although the Indian market is driving the implementation of AI, India too can spur AI adoption by integrating it in public sectors and traditional industries and deepening the talent base at the same time. A McKinsey report revealed that China followed a five-point strategy: Built a robust data ecosystem Integrated AI in traditional sectors Developed a talent pipeline Ensured educational systems are up to standard Developed an ethics code among citizens Meanwhile, India is already making a headway in developing a technical infrastructure and strategic awareness, but when it comes to AI talent, India lags behind China and western counterparts. However, India has the capability to lead in collaborations, forge partnerships for strengthening frameworks and make a positive impact with technological breakthroughs.