TLDR: A joint report by FICCI and Boston Consulting Group (BCG) forecasts Artificial Intelligence (AI) will contribute nearly $15.7 trillion to the global GDP by 2030. The report, titled ‘The Global AI Race,’ highlights a significant disparity in AI adoption, with developed economies far ahead in implementing national AI strategies compared to developing and least-developed nations. It also points out that a majority of AI adoption challenges are sociological rather than technical, emphasizing the need for strategic investments in talent, infrastructure, and cultural adaptation.
Artificial Intelligence (AI) is poised to become the defining technology of the 21st century, with a projected contribution of nearly $15.7 trillion to the global Gross Domestic Product (GDP) by 2030. This significant economic impact is detailed in a new white paper, ‘The Global AI Race,’ released jointly by the Federation of Indian Chambers of Commerce & Industry (FICCI) and Boston Consulting Group (BCG).
The report underscores a growing divide in AI adoption worldwide. While over 66% of developed economies have already established national AI strategies, only 30% of developing economies and a mere 12% of least-developed nations have done so. This imbalance risks creating a reliance on imported AI solutions for lagging countries and could lead to fragmented and unequal progress globally.
The ‘Global AI Race’ is unfolding across four critical dimensions: compute, data, models, and talent. Countries like the United States and China have taken an early lead through substantial investments in research and development. Other nations, including India, the European Union, Singapore, the United Arab Emirates, and Israel, are focusing their efforts on building applications, cultivating specialized talent pipelines, and fostering regulatory innovation.
Despite billions in global investments, the report reveals significant hurdles in AI implementation. Nearly half of all AI pilot projects are abandoned before reaching production, and fewer than one in eight prototypes successfully reach full deployment. Key barriers identified include siloed infrastructure, persistent skills shortages, and cultural resistance within organizations. Notably, the study highlights that 70% of AI adoption obstacles are sociological and process-related, rather than purely technical. Companies that prioritize reskilling, cultural adaptation, and workforce empowerment are more likely to achieve meaningful business outcomes.
Jyoti Vij, Director General of FICCI, emphasized the strategic importance of AI, stating, “AI is not just a technological wave; it is a strategic race that will define economic and social leadership in the decades ahead. Together, we can ensure that AI is not just a race for advantage, but a collective pursuit of progress that unlocks value for the world.” Saibal Chakraborty, Managing Director and Senior Partner at BCG, further noted the significant divergence, observing, “Majority of developed economies have national AI strategies, while the less developed one are yet to undertake this journey.”
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Sector-wise, financial services and retail are leading in AI integration, benefiting from data-rich environments. Conversely, socially critical sectors such as agriculture and public services are lagging, constrained by fragmented infrastructure, funding challenges, and unclear returns on investment. To bridge these gaps, the report proposes a ‘RISE’ framework, advocating for focused efforts in Research, Investment, Skilling, and Ethics to ensure responsible innovation and inclusive progress.
