Stay the Course: Amitabh Kant on US Trade Policy Impacts

Amitabh Kant emphasizes the necessity for India to focus on domestic manufacturing amidst US trade volatility and calls for strategic patience.
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pocketias team
4 mins read
Amitabh Kant urges manufacturing scale amid volatility
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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.

Quick Q&A

Everything you need to know

Reglobalisation refers to the restructuring rather than the retreat of global economic integration. Unlike the earlier phase of globalisation driven by cost efficiency and just-in-time supply chains, the emerging order prioritises trust, resilience, and friendshoring. Geopolitical conflicts in Europe and West Asia, tariff volatility in the US, and fragmentation of global value chains indicate that trade relationships are increasingly shaped by strategic considerations rather than pure efficiency.

For India, this transition presents both risks and opportunities. The breakdown of tightly integrated supply chains opens space for new manufacturing hubs. As seen in East Asia—Japan, South Korea, and particularly China—deep integration into global manufacturing networks lifted millions out of poverty. India now has a similar once-in-a-generation opportunity to position itself as a reliable, democratic, and large-scale manufacturing base within trusted trade networks.

Strategically, India must focus on scale, competitiveness, and predictability rather than reacting impulsively to short-term tariff volatility. Reglobalisation demands long-term planning, domestic capability building, and strengthening state-level competitiveness to integrate effectively into reconfigured global value chains.

While ease of doing business reforms simplify procedures, global market penetration ultimately depends on cost competitiveness. China’s manufacturing ascent was anchored in low-cost land, affordable and reliable power, accessible credit, and large-scale labour mobilisation. These structural enablers reduced production costs and increased export competitiveness.

In India, high credit costs remain a major constraint. Elevated statutory liquidity requirements and limited credit penetration increase borrowing costs for firms, particularly MSMEs. Similarly, power tariffs, logistics inefficiencies, and land acquisition delays raise transaction costs. Without addressing these factors, Indian products struggle to compete globally despite procedural reforms.

Implications: Achieving a $30 trillion economy requires manufacturing scale. Lowering credit rates, improving transmission infrastructure, rationalising power tariffs, and streamlining logistics are essential. States must act as growth engines by fostering industrial ecosystems, similar to China’s cluster-based approach around anchor firms. Cost efficiency, not merely regulatory simplification, determines sustainable global market share.

Artificial Intelligence (AI) is described as a general-purpose technology, comparable to electricity, with the potential to transform sectors such as agriculture, healthcare, education, and nutrition monitoring. AI can enable real-time data tracking, predictive analytics, and productivity gains across industries, accelerating development outcomes.

However, AI is resource-intensive. Large data centres consume vast amounts of electricity and water, posing sustainability challenges. India must therefore invest in renewable-backed data centres, grid modernisation, and enhanced transmission capacity—particularly to prevent renewable energy generated in western India from being stranded. Integrating AI expansion with green energy policy is critical.

Inclusion is equally vital. India’s digital public infrastructure (DPI), such as Aadhaar and UPI, provides a foundation to build interoperable AI systems. Developing DPI for AI ensures equitable access and prevents widening inequality. By leveraging its demographic scale and domestic data, India can optimise computing power through software innovation rather than relying solely on hardware dominance.

The recommendation to 'stay the course' reflects recognition of US policy unpredictability. Frequent tariff changes and shifting trade stances create uncertainty. A reactive approach may lead to rushed agreements or concessions that undermine long-term interests. Strategic patience allows India to avoid knee-jerk responses and maintain negotiating leverage.

However, passivity carries risks. Delayed engagement could result in missed opportunities in critical sectors like electronics or clean energy supply chains. Therefore, the wait-and-watch strategy must be externally cautious but internally proactive.

Balanced Perspective: While monitoring global developments, India must urgently implement domestic reforms—reducing cost of capital, improving infrastructure, and deepening credit penetration. This dual strategy ensures preparedness regardless of US policy shifts. The emphasis should be on structural competitiveness rather than short-term diplomatic reactions.

Japan, South Korea, and China offer instructive examples of manufacturing-led transformation. Japan rebuilt its post-war economy through export-oriented industrialisation. South Korea invested heavily in education, infrastructure, and chaebol-led industrial ecosystems to penetrate global markets. China’s rise between 1990 and 2020 was driven by coordinated policies: low-cost land leases, affordable power, easy credit, and rapid labour mobilisation.

These countries built large-scale ecosystems around anchor firms, enabling network effects and supply chain efficiencies. Millions were absorbed into factory employment, accelerating poverty reduction and urbanisation.

Lessons for India:

  • Prioritise manufacturing clusters with integrated supply chains
  • Lower structural costs such as credit and power
  • Ensure policy predictability to attract long-term investment
  • Strengthen state-level industrial ecosystems
India need not replicate China’s model but must internalise the economics of scale and competitiveness to achieve sustained growth.

India’s aspiration to become a $30 trillion economy hinges on achieving manufacturing scale alongside sustainable urbanisation and improvements in human development indicators. Manufacturing expansion can generate large-scale employment, deepen credit markets, and boost exports. However, growth without social and infrastructural support risks uneven development.

Sustainable urbanisation requires affordable housing, efficient public transport, reliable power, and digital connectivity. States must act as growth engines, fostering industrial corridors and innovation hubs. Simultaneously, investments in health, education, and skill development ensure that the workforce can adapt to AI-driven and technology-intensive industries.

Conclusion: The case illustrates that economic transformation is multidimensional. Manufacturing provides the engine, but credit access, infrastructure, digital inclusion, and human capital form the transmission system. A coordinated approach integrating private sector dynamism with enabling governance will determine whether India’s long-term ambition is realised.

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