1. Global Trade Volatility and Strategic Patience
The global trade environment, particularly in the United States, has become increasingly volatile and unpredictable. Policy decisions are subject to rapid revision and negotiation, creating uncertainty for trading partners.
In this context, India has been advised to avoid knee-jerk reactions to tariff volatility. Instead of short-term tactical adjustments, the emphasis should be on maintaining policy consistency and long-term predictability.
The post-World War II global order, which enabled deep integration into global value chains and lifted millions out of poverty across Asia, is now undergoing structural shifts due to geopolitical conflicts and supply chain fragmentation.
“Therefore, my view is that we should stay the course.” — Amitabh Kant
Strategic patience in external trade policy prevents reactive decision-making, while internal reforms can strengthen long-term competitiveness. Overreaction may undermine credibility and policy stability.
2. From Globalisation to “Reglobalisation”
The current phase is better described as “reglobalisation” rather than deglobalisation. The shift is from efficiency-driven “just-in-time” supply chains to resilience-driven “friendshoring.”
Trust, predictability, and geopolitical alignment are becoming decisive determinants of trade relationships. Disruptions in global value chains create structural reconfiguration rather than contraction.
Historically, export-led manufacturing powered the rise of Japan, South Korea, and China. China’s ascent between 1990 and 2020 was anchored in large-scale integration into global production networks.
“When there is disruption… it provides India a once-in-a-generation opportunity.” — Amitabh Kant
Periods of systemic disruption create entry points for emerging economies. Failure to leverage such transitions may result in long-term marginalisation from evolving value chains.
3. Manufacturing Scale and Cost Competitiveness
India’s aspiration to become a $30 trillion economy hinges significantly on building scale in manufacturing. Penetrating global markets requires size, productivity, and cost efficiency.
Benchmarking China’s experience offers lessons in coordinated ecosystem building—long-term land access, affordable power, low-cost credit, and rapid labour mobilisation. However, replication is neither feasible nor desirable; adaptation is key.
A critical constraint in India is the high cost of doing business, particularly elevated credit costs, power tariffs, logistics expenses, and land acquisition complexities.
“It’s not just ease of doing business — it’s the cost of doing business.” — Amitabh Kant
Key Constraints:
- High interest rates and credit costs
- Elevated statutory liquidity requirements
- High power tariffs
- Logistics and land-related bottlenecks
Without addressing cost structures, improvements in procedural ease alone will not deliver global market share. Scale without competitiveness risks unviable industrial expansion.
4. Financial Deepening and State-Level Growth Engines
Sustained manufacturing growth requires deeper credit penetration and calibrated financial regulation. Lower borrowing costs are essential to enhance industrial competitiveness.
States must function as growth engines, facilitating industrial clusters, infrastructure, and urbanisation. Sustainable urbanisation and improvements in human development are complementary to industrial expansion.
Goods trade has been more disrupted globally than services and capital flows, placing manufacturing at the centre of strategic economic positioning.
Industrial take-off depends on coordinated fiscal, financial, and subnational reforms. Inadequate credit penetration or weak state-level capacity could constrain national growth ambitions.
5. Artificial Intelligence as a General-Purpose Technology
Artificial intelligence (AI) represents a transformative productivity force comparable to electricity in its economy-wide impact. It has the potential to penetrate sectors such as agriculture, healthcare, education, and nutrition monitoring.
India’s demographic scale, digital identity infrastructure, and widespread financial connectivity create a foundation for AI deployment at population scale.
However, AI is resource-intensive, with high electricity and water demands for data centres. Transmission bottlenecks and stranded renewable capacity must be addressed to ensure sustainable expansion.
“Whatever we do with AI should not end up creating inequality.” — Amitabh Kant
Policy Priorities:
- Renewable-backed data centres
- Grid and transmission upgrades
- Digital Public Infrastructure (DPI) for AI
- Inclusion-focused AI deployment
Harnessing AI without parallel investments in energy and inclusion may exacerbate inequality and strain infrastructure, limiting its developmental dividend.
6. Labour Markets, Private Sector and Long-Term Growth
The distinction between formal and informal employment is expected to blur, with gig work and contract-based roles expanding. Structural transformation may not mirror traditional industrial formalisation patterns.
Private enterprise is identified as the primary driver of scale, innovation, and investment. The government’s role is enabling—through regulatory reform, infrastructure, and institutional stability—rather than direct production.
“India can grow only on the back of the private sector.” — Amitabh Kant
Without strong private-sector participation, manufacturing scale and technological adoption may remain limited, constraining long-term growth trajectories.
Conclusion
Global supply chains are being rewired around resilience and trust. India’s strategic response must combine external patience with internal urgency—lowering costs, deepening credit markets, empowering states, and building large-scale manufacturing ecosystems.
Simultaneously, AI must be scaled in an inclusive and sustainable manner, supported by renewable energy and digital infrastructure. The interplay of manufacturing competitiveness and technological adoption will determine whether India can convert geopolitical churn into durable economic transformation.
