As the trustee of the IMC Economic Research and Training Foundation (IMC-ERTF), my mission has always been to build a strategic think tank that fosters sustainable economic growth through applied research and skill development. Today, a massive shift is redrawing the boundaries of our work. Artificial Intelligence (AI) is no longer just a tool for tech labs; it has become a central pillar of global and local economic thinking.

By looking at data from international institutions alongside our native realities, we can map how AI is fundamentally reshaping economic research and training across the world, and specifically here in India.

The Global Wave: Productivity and Redefining Knowledge Work

Globally, the economic conversation around AI has shifted from simple task automation to massive productivity gains. Data from the McKinsey Global Institute indicates that Generative AI alone could add between $2.6 trillion and $4.4 trillion annually to the global economy. Crucially, this isn't just about replacing manual labor. AI is transforming knowledge work—the very domain of economists, researchers, and financial analysts.

In a landmark speech, US Federal Reserve Governor Lisa D. Cook highlighted how AI is altering how we analyze the financial system, track economic trends, and compute data trajectories. This shift is clearly visible in academic literature. Comprehensive studies tracking over three decades of research reveal that AI has firmly integrated itself into five core economic streams:

Macroeconomic Forecasting: Predicting inflation, recessions, and currency shifts with far greater precision. Financial Markets: Running highly advanced predictive models for equity and debt. Complex Data Processing: Parsing massive pools of unstructured "Big Data" using natural language processing (text mining).

Economic Modeling: Upgrading classic supply-and-demand frameworks to react to real-time adjustments. Innovation Economics: Simulating the commercial potential of new breakthroughs before they even hit the market.

The Indian Reality: Democratizing Learning and National Progress In India, the convergence of AI and economics carries a distinct mandate: inclusive, nationwide growth. Organizations like IndiaAI have built dedicated working groups exploring how to harness AI for economic expansion, backed heavily by central initiatives like the Cabinet's IndiaAI Mission.

For a developing economy, the primary bottleneck has historically been access to high-quality training and clean data. AI bridges this gap cleanly. Educational institutions are now using AI to redefine learning paradigms, breaking down complex data analysis into everyday language. It allows student researchers to run complex market simulations without requiring a PhD in programming.

Furthermore, the government’s push to build public digital infrastructure ensures that the benefits of AI do not remain confined to premium think tanks. From predicting crop pricing models for rural food economics to mapping real-estate trends in expanding small towns, AI-driven economic research is becoming hyper-local and highly practical.

The Challenge Ahead for Training At IMC-ERTF, we firmly believe that research must foster growth. However, the rapid evolution of technology presents a major hurdle: a massive skills gap. McKinsey models project that current AI capabilities could automate activities that absorb 60% to 70% of employee time today, accelerating timeline shifts by nearly a decade.

This means economic training must change immediately. We cannot teach economic theory in isolation anymore. Future professionals must be trained to collaborate with AI systems—learning to ask the right questions, audit AI-generated biases, and translate automated data into ethical policy choices.

The frontier of economics is no longer about who can calculate the fastest; it is about who can synthesize AI insights to build a fairer, more stable economy. By blending global technological power with regional training frameworks, we can ensure that AI serves as an equalizer for economic research—driving growth that leaves no one behind.