Relevance in 2026 and Beyond
Smart Contracts, AI Agreements, and the Dharmic Future of Commerce
How Dharmashastra principles of contracts, partnerships, and risk management apply to blockchain, AI-negotiated agreements, and the digital economy of the future.
The Contract That Couldn't Be Broken
Your smart contract executes perfectly. The code transfers 50 lakhs to the supplier the moment sensors confirm delivery. No lawyers, no delays, no disputes. Then you discover the shipment is contaminated. The supplier shrugs, the code ran, the contract fulfilled. You're left holding worthless goods and empty accounts.
Welcome to commerce in 2026, where 'code is law' meets ancient questions the Dharmashastra answered centuries ago: What happens when the letter of an agreement violates its spirit? Who decides when circumstances change? And can justice ever be fully automated?
The Modern Challenge: When Algorithms Replace Judgment
The global smart contract market is projected to exceed $1.4 billion by 2026. India's ONDC (Open Network for Digital Commerce) is building infrastructure where agreements between millions of buyers and sellers execute automatically. Reliance Jio, Tata Digital, and Amazon are all racing to automate commercial relationships.
Yet the technology outpaces the wisdom. In November 2022, FTX's collapse revealed that $8 billion in customer funds vanished despite smart contracts supposedly guaranteeing their safety. The code worked perfectly, but the humans writing it were fraudulent. In 2023, the Byju's crisis showed how complex investor agreements, regardless of how sophisticated, fail when underlying trust erodes.
AI adds another layer. Companies now use large language models to negotiate contract terms, analyze risk, and even draft partnership agreements. McKinsey estimates that AI could automate 30% of legal work by 2030. But AI optimizes for stated objectives, it cannot evaluate whether those objectives align with dharma.
The fundamental question: Can automated systems deliver justice, or only efficiency?
The Ancient Insight: Principles That Transcend Technology
This chapter explored how Dharmashastra created a sophisticated commercial law framework millennia before the modern corporation existed. The core insight: contracts are not just about enforcement, but about righteousness.
Narada distinguished between samaya (surface agreement) and sankalpa (genuine intention). A contract that satisfies the letter but violates the spirit remains anṛta, a form of untruth. This principle matters more, not less, in an age of automated execution.
Brihaspati's codification in the Vyavahara-kanda established that agreements require three elements: clear terms (niyama), mutual benefit (ubhaya-hitam), and alignment with dharma (dharma-aviruddham). Smart contracts excel at the first, occasionally achieve the second, and typically ignore the third entirely.
Yajnavalkya's witness standards (sakshi-dharma) demanded not just documentation but qualified documentation, witnesses of character who could interpret intent, not merely confirm that signatures existed. This is precisely what digital timestamps and blockchain verification cannot provide.
The sambhuya samutthana partnership principles recognized that relationships evolve, that circumstances change, and that rigid enforcement destroys more value than it protects. Partnership meant shared jokhim (risk) precisely because shared risk creates shared investment in success.
The Bridge: Ancient Wisdom for Digital Commerce
In Smart Contract Design: The Dharmashastra principle of sankalpa (true intention) suggests that well-designed smart contracts should include interpretation mechanisms, not just execution triggers but dispute resolution pathways. India's emerging regulatory framework for digital contracts could mandate 'dharmic escape hatches' that allow human judgment when automated outcomes produce injustice. This isn't a bug in the system; it's a feature the ancients would have insisted upon.
In AI-Negotiated Agreements: Brihaspati's requirement that agreements be dharma-aviruddham (not opposed to dharma) implies that AI systems negotiating on our behalf need ethical constraints beyond legal compliance. When an AI finds a technically legal but exploitative contract term, should it propose it? The Dharmashastra answer is clear: cleverness that harms the other party is adharma, regardless of legality.
In Partnership Structures: Modern startups form partnerships through term sheets and shareholder agreements that run to hundreds of pages. Yet the most successful Indian business partnerships, the Ambanis before the split, Infosys's founding team, the Tata group's century of collaboration, succeeded through shared values more than shared documents. The sambhuya samutthana principle that partners must share risk, not just profit, explains why partnerships built purely on financial terms often fail when tested.
In Risk Distribution: The maritime traders of ancient Bharuch understood that risk must align with control. Modern supply chains often violate this principle, the party with least power bears the most risk. The samudra-vanijya-jokhim framework suggests that sustainable supply chains require risk-sharing proportional to decision-making authority. This is exactly what supply chain finance innovations like reverse factoring are beginning to recognize.
In Documentation and Evidence: In an era of deepfakes and synthetic media, Yajnavalkya's insistence on qualified witnesses, people of character who can interpret, not just record, becomes surprisingly relevant. Perhaps the future of digital evidence isn't just cryptographic verification but reputation systems that establish the credibility of attestors.
Addressing Skepticism: The Limits of Ancient Wisdom
Skeptics raise valid objections. Dharmashastra emerged in societies with limited geographic mobility, where reputation effects were strong and transactions happened face-to-face. Global digital commerce lacks these constraints. Can principles designed for Varanasi's marketplace apply to transactions between strangers across continents?
Partially, yes. The principles, that intention matters beyond words, that risk should align with control, that enforcement without justice is violence, are technology-neutral. But the mechanisms the Dharmashastra used, local witnesses, guild reputation, community sanction, require translation.
Blockchain reputation systems, AI-powered intent analysis, and algorithmic fairness constraints are modern mechanisms that could embody ancient principles. The Dharmashastra doesn't tell us how to verify a partner's character across ten thousand kilometers, but it insists that we must, and that any system claiming to enable trust that bypasses this requirement is selling illusion.
The honest answer: not all ancient principles translate cleanly. The concept of jati-based commercial restrictions has no place in modern India. Certain property and contract rules reflected patriarchal assumptions we've rightly abandoned. Wisdom requires discrimination, taking what serves dharma today while acknowledging historical limitations.
Call to Practice: Building Dharmic Commerce
As India builds its digital commerce infrastructure, every entrepreneur, policy-maker, and consumer makes choices that shape whether technology serves dharma or merely efficiency.
For Entrepreneurs: Before automating any agreement, ask: What happens when this code produces an unjust outcome? Build interpretation mechanisms into your smart contracts. Design partnerships that share risk, not just reward.
For Professionals: When AI assists your negotiations or documentation, maintain sakshi-dharma, be a witness of character who can testify to intent, not just a validator of signatures. Your human judgment is the irreplaceable element.
For All of Us: Support businesses and platforms that build fairness into their automated systems. The market rewards what we value. If we accept that 'code is law,' we surrender dharma to algorithms.