The Government Question

TAM-RIM.6-08 · The Reimagined, Cluster 6: The Coordination · The Approximate Mind

The budget line item is small enough to miss.

It appears on page forty-seven of a planning document circulated within the Ministry of Micro, Small and Medium Enterprises in New Delhi, a ministry that most Indians cannot name and that most policy commentators overlook in favor of the ministries that control defense, finance, and technology. The item allocates fourteen crore rupees, roughly 1.7 million dollars, for a pilot program described in bureaucratic language that conceals its significance: “Development and deployment of AI-enabled coordination infrastructure for registered cooperative manufacturing clusters.”

Sunita, who drafted the line item, is a deputy director in the ministry’s technology division. She is forty-four. She has been in the Indian Administrative Service for nineteen years, long enough to know which proposals survive the budget process and which die in committee, and she wrote this one in language calibrated to survive. She did not use the word “disintermediation.” She did not mention supply chains or toll booths or the twenty-seven dollars between the manufacturer and the consumer. She described the pilot as “productivity enhancement through digital coordination,” which is true in the way that calling the internet a “communication tool” is true. Accurate and radically insufficient.

She has a photograph on her desk of her parents’ village in Uttar Pradesh, where her father ran a small brass-finishing workshop until the economics became impossible in 2014. She does not talk about this at work. She does not need to. The photograph is enough to remind her why a budget line item on page forty-seven matters.

What Governments Already Do

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Governments pick first movers. This is not controversial. It is the history of industrial development.

South Korea’s government directed credit to Hyundai and Samsung in the 1960s and 1970s, creating national champions through deliberate industrial policy. Taiwan’s government funded the semiconductor foundry model through TSMC. China’s government subsidized solar panel manufacturing until Chinese producers dominated the global market. The United States government funded the internet, GPS, and the foundational research behind every major technology company in Silicon Valley. Singapore’s government planned its entire economic development with a precision that makes central planning’s critics uncomfortable.

In each case, the government did not build the industry. It created the conditions under which the industry could build itself. Tax incentives, directed credit, research funding, infrastructure investment, regulatory frameworks, trade agreements. The government shaped the environment and the market populated it.

What governments have not done, with a few exceptions, is fund a structure rather than a company. The Korean model funded Hyundai. The Taiwanese model funded TSMC. The American model funded research institutions and defense contractors. Each intervention created or supported a specific entity that became a market participant.

Sunita’s line item does something different. It does not fund a cooperative. It funds a coordination layer that any cooperative can use. The difference matters the way the difference between building a road and building a trucking company matters. The road is infrastructure. The trucking company is a business. One enables. The other participates.

The AI coordination layer for producer cooperatives is infrastructure. If the pilot works, Sunita’s ministry does not own a successful cooperative in Tirupur. It owns a template that any cooperative in India can adopt. The fourteen crore rupees buys one proof of concept. The propagation is free.

Why India

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India is not the only country that could do this. But India is the country where the preconditions align most completely, and the alignment is not accidental. It is the cumulative result of twenty years of public infrastructure investment that was designed for a different purpose and turns out to be precisely what this model requires.

Aadhaar provides universal digital identity for 1.4 billion people. It was built for financial inclusion and government benefit delivery. It also provides the identity layer that any cooperative’s AI coordination system needs to verify participants, manage accounts, and maintain trust.

UPI, the Unified Payments Interface, processes billions of transactions monthly at near-zero cost. It was built to democratize digital payments. It also provides the payment rail that allows a cooperative to receive consumer payments, distribute income to members, and manage financial flows without depending on commercial banking infrastructure that charges for the intermediation.

ONDC, the Open Network for Digital Commerce, is a public protocol that allows any seller to reach any buyer without going through a private platform. It was built to counter the dominance of Amazon and Flipkart in Indian e-commerce. It also provides the marketplace layer that allows a cooperative to sell directly to consumers without building its own platform or paying a platform’s margin.

Jan Dhan put bank accounts in the hands of 500 million previously unbanked Indians. It was built for financial inclusion. It also provides the banking infrastructure that allows cooperative members in rural areas to receive their income digitally.

Each of these was built for its own reason. Together, they constitute a public digital infrastructure stack that makes the producer-owned AI coordination layer technically feasible, financially viable, and operationally scalable in a way that no other country’s infrastructure currently supports.

India built the rails without knowing what would run on them. The cooperative coordination layer is what should run on them.

The difference between India’s digital public infrastructure and the infrastructure in most other countries is ownership. UPI is not owned by a bank. ONDC is not owned by Amazon. Aadhaar is not owned by a tech company. These are public goods, maintained by the state, available to anyone. The cooperative’s AI coordination layer, plugging into public infrastructure rather than private platforms, avoids the dependency problem that the second essay identified: the risk that disintermediating the supply chain middlemen only to become dependent on the technology middlemen.

On public rails, the cooperative’s dependency is on public infrastructure. And public infrastructure, whatever its flaws, is governed by democratic accountability rather than shareholder returns.

The Economics

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The economic argument for the pilot is not complicated, which is part of its power and part of its vulnerability. Powerful because the arithmetic is simple enough that a bureaucrat on page forty-seven can grasp it. Vulnerable because simple arithmetic invites the suspicion that something has been left out.

The arithmetic: India’s MSME sector employs roughly 110 million people across 63 million enterprises. Most are small, most are informal, most sell through intermediary chains that extract value at every link. If a coordination layer reduces intermediation costs by even 15 to 20 percent across participating cooperatives, the income effect at the producer level is significant. Not transformative for any individual producer. Significant in aggregate, across millions of producers, compounding over time.

The multiplier is local. When Ravi’s mother’s income increases from three dollars to nine dollars per shirt, the additional six dollars is spent in Tirupur. It goes to the grocer, the school, the landlord, the mechanic. The intermediary’s margin, by contrast, was captured in Chennai or Mumbai or wherever the export house was headquartered, and from there it flowed to wherever intermediary profits flow, which is generally not back to the producing community.

Development economists have a name for this: the local multiplier effect. Money that stays in a community circulates within the community, generating secondary and tertiary economic activity that money extracted from the community does not generate. The coordination layer’s effect is not just the direct income increase. It is the redirection of value from intermediary capture to local circulation.

Sunita’s proposal frames this in the language the ministry will accept: productivity enhancement, MSME competitiveness, digital adoption, employment preservation. The language is not wrong. It is the map drawn for the people who fund maps rather than the territory the map describes.

The Risks the Ministry Sees

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The ministry’s review process will identify risks. Some are real. Some are the ministry protecting itself.

The technology risk is that the AI coordination layer does not work at the level required for production-grade manufacturing coordination. This risk is low and declining. Commercial AI coordination systems operate at scale in logistics, supply chain management, and manufacturing across the global economy. The technology is not experimental. The application to Indian MSME cooperatives is new, but the technology is not.

The governance risk is that cooperatives will fail to govern themselves effectively. This risk is real and historically grounded. Indian cooperative history includes spectacular successes, AMUL being the most famous, and widespread failures, particularly in the credit cooperative sector where governance breakdowns led to financial losses and political capture. The ministry will want governance safeguards: elected boards, financial audits, dispute resolution mechanisms. Each safeguard adds administrative overhead that the coordination layer was supposed to reduce.

The political risk is that disintermediation threatens existing intermediaries who have political connections. The export houses, the consolidators, the transport brokers, the wholesale market operators: these are not abstract economic functions. They are businesses owned by people who contribute to political campaigns, who employ workers who vote, who have relationships with the officials who approve or delay government programs. A pilot that threatens their business model will encounter resistance, not in the form of policy opposition but in the form of procedural delays, additional requirements, committee reviews, and the thousand small bureaucratic obstacles that the Indian administrative system can deploy against initiatives it has been quietly asked to slow down.

Sunita knows this. She has seen it before. The line item’s language is not just calibrated to survive the budget process. It is calibrated to avoid triggering the antibodies of the intermediary economy. “Productivity enhancement” does not threaten anyone. “Supply chain disintermediation” threatens everyone between the farmer and the consumer.

The BYD Lesson

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There is a story that Sunita does not include in her proposal because it would confuse the ministry’s frame, but that shapes her thinking.

BYD did not build an export strategy to America. BYD built the best electric vehicle ecosystem in the world for the Chinese domestic market. It achieved scale, cost efficiency, and technological sophistication by serving 1.4 billion Chinese consumers. The export came later, as a consequence of domestic dominance rather than as a goal.

The lesson for the cooperative model is structural rather than strategic. The cooperative does not need the American market. It does not need to compete with international brands. It does not need to navigate trade agreements or tariff structures or the political economy of US-India relations. It needs the Indian market. 1.4 billion consumers who are currently buying from intermediary chains that extract value at every link.

The domestic opportunity is sufficient. More than sufficient. The Indian garment market alone is enormous, and garments are one sector among hundreds where the MSME cooperative model could apply. Brass work in Moradabad. Silk in Varanasi. Leather in Kanpur. Furniture in Saharanpur. Handicrafts in Jaipur. Each cluster has the same structure: small producers, intermediary chains, suppressed margins, and a domestic market large enough to sustain the producers without any export revenue.

The BYD lesson is that domestic dominance is not a consolation prize. It is the strategy. Export relevance follows domestic strength. The cooperative that serves the Indian market well does not need to worry about Columbus, Ohio. Columbus will find it, eventually, the way the world found BYD.

What Success Looks Like

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Sunita does not use the word “success” in her proposal. She uses “demonstrated outcomes,” which is what success looks like when it needs to survive a committee.

The pilot funds one AI coordination layer for one cooperative cluster. Tirupur is the obvious candidate, because the manufacturing density is high, the cooperative infrastructure exists, and Ravi’s informal network provides a foundation. The pilot runs for eighteen months. The outcomes measured are income change at the producer level, cost change at the consumer level, intermediation cost reduction, and employment effects.

If the outcomes are positive, the template is documented and made available through the ministry’s existing MSME support channels. Not as a mandate. As an option. A cooperative in Surat that wants to adopt the model can access the template, configure it for its specific industry and context, and deploy it on public digital infrastructure.

The cost of the template’s propagation is minimal. The AI coordination layer is software. Software copies at near-zero marginal cost. The public digital infrastructure, UPI, ONDC, Aadhaar, is already built and available. The cooperatives themselves provide the governance and the labor. The ministry provides the initial proof of concept and the documentation.

Fourteen crore rupees. One template. If it works, every cooperative in India can use it.

This is what it means to fund a structure rather than a company. The company is one entity. The structure is a pattern that replicates. The government’s leverage is not in the direct effect of the investment but in the indirect effect of demonstrating that the pattern works.

What Success Threatens

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If the pattern works and propagates, the economic consequences extend beyond the MSME sector.

The intermediary economy in India is enormous. Wholesale markets, distribution networks, export houses, buying agents, transport brokers, retail chains: these employ millions of people and generate significant economic activity. The disintermediation that the cooperative model enables does not just shift value from intermediaries to producers. It eliminates the economic functions that the intermediaries perform and the employment those functions sustain.

The ministry’s pilot will not, by itself, disrupt the intermediary economy. One cooperative in Tirupur is a rounding error against the scale of Indian commerce. But the template, propagated across thousands of cooperatives, adopted in dozens of industries, operating on public infrastructure that eliminates the platform dependency, would represent a structural transformation of the Indian economy at a scale that the ministry’s bureaucratic language does not begin to describe.

Sunita knows this. She does not write it down. She writes “productivity enhancement through digital coordination” and trusts that the people who need to understand will understand, and the people who would obstruct will not look past page forty-seven.

The photograph on her desk. Her father’s brass workshop. The economics that became impossible. She is not trying to save her father’s workshop. It is too late for that. She is trying to make the economics possible for the workshops that still exist, before they close too.

Whether the line item survives the budget process is something she cannot control. Whether the pilot works is something she cannot guarantee. Whether the template propagates is something she can only enable, not direct.

She files the proposal. She goes home. The photograph stays on the desk.

This is the eighth essay in The Coordination, a cluster within The Reimagined examining what happens to the structure of the firm when AI can perform the coordination function. The previous essays traced the one-person firm (TAM-RIM.6-01), the zero-person firm (TAM-RIM.6-02), the inverted firm (TAM-RIM.6-03), the worker-owned factory (TAM-RIM.6-04), the direct supply chain (TAM-RIM.6-05), the assembled workforce (TAM-RIM.6-06), and the new collective (TAM-RIM.6-07). This essay asks what happens when a government funds the structure rather than a company, and why India’s public digital infrastructure makes the proposition concretely buildable. The essay that follows (TAM-RIM.6-SYN) is the cluster’s synthesis, holding all eight propositions and their honest limitations together. This essay connects to the honest state in TAM-046, where the state reverses the burden of proof and treats the citizen as a person rather than a case; to the AMUL cooperative precedent that demonstrates producer collectives can operate at national scale; to the toll booth economy in TAM-033 and TAM-051; and to the reimagined governance in the Reimagined architecture, where the question is what the state would look like if it were designed for the people it serves.

References

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Industrial Policy and State-Led Development

Amsden, Alice H. Asia’s Next Giant: South Korea and Late Industrialization. Oxford University Press, 1989.

Chang, Ha-Joon. Kicking Away the Ladder: Development Strategy in Historical Perspective. Anthem Press, 2002.

Mazzucato, Mariana. The Entrepreneurial State: Debunking Public vs. Private Sector Myths. Anthem Press, 2013.

Wade, Robert. Governing the Market: Economic Theory and the Role of Government in East Asian Industrialization. Princeton University Press, 1990.

India’s Digital Public Infrastructure

Kelkar, Vijay, and Rajesh Shah. In Service of the Republic: The Art and Science of Economic Policy. Penguin Allen Lane, 2019.

Nilekani, Nandan, and Viral Shah. Rebooting India: Realizing a Billion Aspirations. Penguin Allen Lane, 2015.

Srinivasan, Janaki. The Political Lives of Information: Information Technology and the Making of Modern India. University of California Press, 2017.

MSME Economics and Cooperative Development in India

Frankel, Francine R. India’s Political Economy, 1947-2004. Oxford University Press, 2005.

Kurien, Verghese. I Too Had a Dream. Roli Books, 2005.

Shah, Tushaar. “Making Cooperation Work: Overcoming the Tragedy of the Irrigation Commons in India.” Economics of Irrigation Development, 2019.

Electric Vehicle Industry and Domestic Market Strategy

Lee, Kai-Fu, and Chen Qiufan. AI 2041: Ten Visions for Our Future. Currency, 2021.

Tu, Kevin Jianjun. “China’s Electric Vehicle Strategy.” Center for Strategic and International Studies, 2023.