Beyond FTAs: Building the Competitiveness Architecture Behind India's Export Ambitions

Introduction: An Important Warning, But An Incomplete Debate

India's export ambitions have entered an increasingly ambitious phase. After recording goods & services exports worth USD 863 billion in FY26, the government has set its sights on the USD 1 trillion milestone. Simultaneously, India has accelerated trade negotiations and concluded several important agreements, reflecting growing confidence that deeper market integration can support industrial expansion.

Against this backdrop, a recent report by Global Trade Research Initiative ("FTA Report Card", released on 9 June) highlighed India's widening trade deficits with several FTA partners, low utilisation rates among exporters, and questions about whether trade agreements are translating into the manufacturing gains that policy-makers expect.

These concerns deserve serious attention. But the debate risks becoming trapped in a binary: are FTAs beneficial or harmful? Should India embrace trade integration or become more cautious? Such questions are politically attractive because they are simple. They are also incomplete.

Trade agreements can open doors. They cannot guarantee that enterprises possess the capabilities required to walk through them. Countries rarely become export powerhouses through a single policy intervention. They become competitive through the gradual accumulation of capabilities across infrastructure, labour systems, industrial ecosystems, technology, logistics, and institutional coordination. Export competitiveness is not simply a trade outcome. It is an industrial outcome.

The real challenge before India is not merely negotiating access to foreign markets. It is building the broader competitiveness architecture that allows enterprises to exploit that access effectively.

Understanding Competitiveness

Competitiveness is often discussed as if it is a characteristic of individual firms. In reality, it emerges from systems. A highly productive factory does not operate in isolation — its performance depends on workers, suppliers, logistics providers, utilities, financing arrangements, and digital infrastructure. National competitiveness emerges through the interaction of these systems, which is why countries rarely become export powerhouses through a single reform.

Better infrastructure lowers costs. Better logistics reduce delays. Better workers improve quality. Better suppliers improve reliability. Better technology increases productivity. Over time, these advantages reinforce one another — and competitiveness compounds. The industrial economies of East Asia did not emerge from one policy decision. They evolved through decades of layered capability-building in which infrastructure supported manufacturing, manufacturing generated supplier demand, suppliers created specialised expertise, expertise attracted investment, and investment funded further upgrading. The process became self-reinforcing.

Understanding competitiveness as cumulative - changes how export policy should be framed. The objective is not simply increasing exports. It is building the conditions under which exports can grow sustainably — conditions that can be thought of as a competitiveness architecture - consisting of five interconnected layers.

Layer One: Industrial Geography and Manufacturing Infrastructure

Manufacturing occurs in places. Factories require land, utilities, transportation links, logistics networks, and regulatory certainty. Without these fundamentals, industrial activity becomes expensive, fragmented, and unpredictable. Initiatives such as BHAVYA and plug-and-play industrial parks attempt to address precisely these constraints, and they matter because reducing pre-production friction increases the speed at which productive capacity can be created.

Yet industrial parks should not be confused with industrial ecosystems. An industrial park provides land, roads, power, water, and connectivity. An industrial ecosystem provides suppliers, service providers, technicians, training institutions, logistics firms, financiers, and customers. The first creates the possibility of manufacturing. The second creates competitiveness.

Export success depends less on individual factories than on ecosystem density. Dense ecosystems generate advantages that isolated facilities cannot replicate — knowledge diffuses more quickly, workers move between firms, suppliers specialise, and problems are solved collectively. For India, therefore, the important question is not simply whether industrial parks are built. It is whether they evolve into genuine industrial ecosystems through deliberate attention to cluster specialisation, supplier development, workforce pipelines, and technological services.

Layer Two: Upstream Industrial Depth

Many Indian sectors demonstrate a similar pattern: increasing capability in downstream activities such as assembly, integration, and final-stage manufacturing, alongside significant dependence in upstream layers involving components, materials, specialty chemicals, industrial tooling, and precision equipment. This distinction is often underappreciated because downstream manufacturing is more visible. Assembly plants generate headlines. Upstream ecosystems generate competitiveness.

Countries that dominate exports typically control substantial portions of the value chain rather than only final assembly. Upstream capabilities influence cost structures, innovation potential, resilience, and bargaining power. They also shape how technological change affects competitiveness — a country with strong upstream ecosystems can deploy AI across highly integrated production systems, while a country with weaker upstream capabilities may achieve greater downstream efficiency while remaining dependent on imported inputs.

For India, future industrial policy must pay increasing attention to advanced materials, precision tooling, industrial machinery, specialty chemicals, battery materials, and semiconductor inputs. The objective is not autarky, but greater industrial depth — because it is accumulated depth that ultimately transforms market access into sustainable export strength.

Layer Three: Labour Competitiveness Beyond Cheap Labour

Labour costs matter, particularly in labour-intensive sectors such as textiles, footwear, toys, and electronics assembly. But labour competitiveness and labour cost are not the same thing. As manufacturing systems become more technologically sophisticated, competitiveness increasingly depends on what workers can do rather than simply what they cost.

Modern manufacturing environments require various categories of workers - capable of operating sensor-rich machinery, interacting with AI-assisted quality-control systems, interpreting predictive diagnostics, coordinating technology-enabled supply chains, etc. Workforce capability, thus, is a productivity variable - and productivity is a competitiveness variable.

India faces two distinct workforce challenges simultaneously. 

The first is a transition challenge: millions of workers already in manufacturing must adapt to increasingly intelligent production environments. These workers are not necessarily becoming obsolete — they must become augmented, with the capability to work with industrial AI systems - rather than being replaced by them. 

The second is a creation challenge: entirely new categories of industrial employment are emerging — industrial AI integration engineers, robotics specialists, edge-system managers, industrial cybersecurity professionals — that must be built largely through a new talent pipeline. At the same time, India's IT sector layoffs offer a potential pipeline of reskillable and redeployable workers. 

These two workforce skilling problems must not be addressed under a general skilling scheme. They must be addressed as two distinct problems. Treating both as generic skilling problems risks solving neither effectively.

Two structural issues here deserve particular attention. 

First, apprenticeships. Manufacturing competence is rarely acquired through classroom instruction alone. Many of the most valuable skills in production environments are tacit — workers must experience how predictive maintenance systems behave under real operating conditions, how AI-generated recommendations interact with practical production realities, how to work alongside intelligent systems rather than merely study them. Strengthening apprenticeship systems may prove as important as expanding formal training capacity. 

Second, labour mobility. Training workers and deploying workers are not the same thing. India's manufacturing workforce is geographically dispersed, but industrial growth occurs unevenly across clusters. Workers often need to move toward emerging industrial centres, yet mobility is constrained by housing costs, relocation expenses, and information asymmetries. Industrial hostels, apprentice housing, and cluster-based residential ecosystems are not social add-ons — they are productive assets. The countries that industrialised at scale generally solved workforce deployment problems alongside workforce development problems.

Layer Four: Operational Competitiveness Through Industrial AI

Infrastructure, labour, and ecosystems determine the conditions in which manufacturing occurs. Operational competitiveness determines what happens once production begins — and this dimension remains surprisingly under-discussed in Indian manufacturing debates.

A factory producing at lower defect rates, lower energy consumption, higher equipment utilisation, and greater process reliability can outperform competitors regardless of modest differences in labour costs or tariff structures. This is where Industrial AI becomes consequential. The first generation of AI adoption was concentrated in digital environments — software development, customer support, administrative workflows. The next phase moves AI into the physical economy: factories, warehouses, logistics networks, energy systems, and manufacturing clusters where intelligence is embedded directly into operational processes, affecting machine utilisation, maintenance schedules, defect rates, energy consumption, and production planning.

Within this landscape, Edge AI deserves particular attention. Traditional cloud-based AI architectures introduce latency and reliability constraints that many industrial applications cannot accommodate. Edge AI addresses this by moving intelligence closer to the point of action — operating directly on sensors, cameras, machines, and local edge servers. This matters especially for India's manufacturing structure, which is not dominated by enormous automated complexes but distributed across MSME clusters, industrial parks, and regional production ecosystems. Edge AI lowers the scale threshold for industrial intelligence, making capabilities previously affordable only for large corporations accessible to smaller firms.

The deeper implication is that manufacturing competitiveness is increasingly ecosystem-dependent. Industrial AI deployment rarely succeeds through factories alone — it requires a surrounding ecosystem of deployment firms, software integrators, robotics providers, maintenance specialists, and technical service providers. 

Manufacturing clusters are becoming industrial-intelligence ecosystems, and competitiveness is increasingly determined not only by capabilities inside a factory but by the capabilities surrounding it.

Layer Five: Demand, Capital, and Ecosystem Coordination

Supply-side capability alone does not automatically generate industrial success. The history of industrial policy contains numerous examples of capacity that was built but never fully utilised because demand failed to materialise at the required scale or pace. Export competitiveness therefore depends not only on production capability but on the systems that activate, finance, and coordinate that capability.

Demand frequently functions as an input to industrial development rather than merely an outcome of it. Enterprises invest when they possess reasonable confidence that future demand exists; suppliers expand when downstream demand appears durable. Public procurement policy can play an important role here. A sophisticated procurement architecture — one that supports manufacturing, deployment, operation, maintenance, and workforce development simultaneously — can create investment certainty across entire value chains, making investments in technology, labour, and production capacity more attractive. Domestic demand and export competitiveness are therefore not opposites. Countries often build export capabilities by first developing robust domestic ecosystems capable of achieving scale, learning, and operational maturity.

Capital architecture matters equally. Modern manufacturing requires coordinated investment across production facilities, logistics infrastructure, energy systems, digital infrastructure, and supplier networks — often simultaneously. When these investments are fragmented, bottlenecks emerge: factories without suppliers, suppliers without skilled workers, workers without employment opportunities. The growing role of partnership-based investment models — involving global companies, Indian enterprises, startups, investors, and progressive state governments as partners — is significant - because such arrangements create ecosystems rather than isolated projects.

Ultimately, competitiveness is less a resource problem and more a coordination problem. Many of the ingredients already exist. The challenge lies in aligning them — so that infrastructure development reinforces workforce development, workforce development supports technological adoption, technological adoption improves productivity, and productivity attracts investment that deepens the ecosystem further.

The Real Lesson of the GTRI Report

Before drawing conclusions from the GTRI report, an important qualification is necessary: not all trade agreements are the same. India's FTAs span multiple governments, multiple economic eras, and multiple strategic priorities. An agreement's impact depends not only on tariff schedules but on rules-of-origin provisions, safeguard mechanisms, partner-country compliance, domestic industrial preparedness, and the broader strategic environment in which it operates. The ongoing reviews of India's agreements with ASEAN and South Korea illustrate this — the debate is not fundamentally about trade integration itself but about whether specific provisions and implementation mechanisms have aligned with India's industrial objectives. Trade agreements should be evaluated individually, in context, and against the objectives that informed their negotiation, rather than through a single statistical lens.

Viewed through the broader framework developed in this article, the GTRI report can be interpreted in two ways. The first interpretation is defensive: trade deficits have widened, import dependence remains significant, therefore India should become more cautious about trade integration. The second interpretation is developmental: trade agreements have exposed the gap between market access and industrial capability, and the solution is to accelerate capability creation. The second interpretation is more productive. Trade deficits are important indicators, but they are frequently symptoms rather than root causes — revealing underlying productivity gaps, supplier gaps, technology gaps, and ecosystem gaps. Closing these gaps matters more than debating the trade agreement itself.

This does not imply that trade policy is irrelevant. Market access matters. Negotiation quality matters. Rules of origin matter. But none of these factors can substitute for competitiveness. The long-term question facing India is not whether it should pursue trade agreements. It is whether it can build the capabilities required to benefit from them. That distinction moves the debate from trade policy to industrial strategy — and that is where the more consequential policy-making can happen.

Conclusion: Export Competitiveness Is Built, Not Signed

The GTRI report is valuable because it directs attention toward an important reality: market access alone does not guarantee export success. Trade agreements can create opportunities. They cannot create competitiveness.

Competitiveness emerges from a broader industrial architecture — from industrial geographies that evolve into ecosystems, from upstream capabilities that deepen value-chain participation, from workforce pipelines that continuously upgrade skills, from operational intelligence that improves productivity inside factories, and from demand policies and capital architectures that transform isolated investments into self-reinforcing industrial ecosystems. None of these dimensions is sufficient alone. Together, they determine whether Indian enterprises can compete successfully in foreign markets.

India's export ambitions are achievable. But achieving them requires recognising a fundamental truth: export competitiveness is not signed at negotiating tables. It is built — patiently, cumulatively, and systemically — through the creation of productive capability. 

Trade agreements may open doors. It is competitiveness that allows nations to walk through them.