This essay is part of the series: World Creativity and Innovation Day 2026: Sparks and Shields
Today, local artisans can offer their work to international markets, connecting a handcrafted item in a rural cluster to a consumer thousands of miles away. Between these two points lies a sophisticated, emerging infrastructure. Increasingly autonomous and inherently intelligent, this framework is reshaping the economic trajectories of India’s artisanal producers.
The evolution of India’s e-commerce landscape has moved beyond initial competition for urban market share. It now represents a systemic democratisation of digital trade. The sector is projected to maintain a significant compound annual growth rate and reach a valuation of US$ 300 billion by 2030. A key driver of this expansion lies not only in high-tech conglomerates but also in the country’s micro, small, and medium enterprises (MSMEs). These entities collectively account for nearly 30 percent of India’s gross domestic product and serve as a critical source of employment for hundreds of millions of people. For these traditional stakeholders, ranging from artisanal weavers to regional food processors, the digital marketplace functions as a complex paradox. It serves as an essential mechanism for economic resilience while simultaneously presenting a prohibitive digital labyrinth of technical and logistical barriers.
The evolution of India’s e-commerce landscape has moved beyond initial competition for urban market share. It now represents a systemic democratisation of digital trade.
E-Commerce as an Equaliser
The traditional value chain for Indian artisans and small producers has been historically structured in an exploitative manner. Intermediaries have captured the majority of market premiums, frequently restricting craftspeople to subsistence-level earnings that fail to reflect the true market value of their skills. Evidence from the third Handloom Census indicates that approximately 99 percent of weaver households earned less than INR 5,000 per month. During the 2019–20 period, the average annual earnings for a handloom household were estimated at INR 36,498, which equates to a monthly income of roughly INR 3,042. While these figures originate from an earlier reporting period, they remain representative of the structural stagnation persisting within the sector.
There has been a concerted movement to improve this sector in India, spearheaded by initiatives aimed at digitising the value chain. The Open Network for Digital Commerce (ONDC) represents a structural intervention designed to decentralise digital trade. Unlike conventional marketplace platforms that confine sellers to proprietary ecosystems, ONDC functions as an open, interoperable network where a single registration makes a seller discoverable across all participating platforms. For instance, Kanchipuram weavers have fulfilled multiple orders through the network, generating transaction volumes that signify a vital shift toward the democratisation of e-commerce. This development represents a substantive step in empowering local craftspeople by integrating traditional artistry into a modern, decentralised digital marketplace.
India currently has an estimated 6.47 million handloom and handicraft artisans, with significant geographic concentration in Uttar Pradesh, Rajasthan, Assam, Odisha, West Bengal, and Tamil Nadu. Demographically, the sector is characterised by a high degree of female participation; as of August 2025, women constituted 71 percent of handloom weavers and 64 percent of the total artisan workforce. Platforms such as Indiahandmade, a zero-commission and zero-registration-fee portal developed by the Digital India Corporation under the Ministry of Textiles, are progressively incorporating these populations into the digital economy.
Beyond handicrafts, institutional programmes such as the ‘Flipkart New Seller Success Program’ have provided specialised onboarding and tools to first-time sellers. These initiatives have enabled merchants in Tier 2 and Tier 3 cities to achieve significantly faster success rates and substantial year-on-year growth.
The Agentic Layer
While traditional e-commerce provided small enterprises with a digital storefront, agentic AI now offers the equivalent of a digital workforce. In contrast to conventional automation, which operates on fixed rules and requires human intervention, agentic AI systems set objectives, facilitate decisions, and execute tasks autonomously across multiple platforms in real time. Projections indicate that AI agents could mediate between US $3 trillion and US $5 trillion of global consumer commerce by 2030. This shift toward agentic commerce is already underway.
In contrast to conventional automation, which operates on fixed rules and requires human intervention, agentic AI systems set objectives, facilitate decisions, and execute tasks autonomously across multiple platforms in real time.
For small businesses, the practical implications are significant. Agentic systems autonomously manage inventory replenishment, generate and dispatch invoices, maintain financial records, and optimise pricing based on real-time market signals. A 2025 Organisation for Economic Co-operation and Development (OECD) survey revealed that 91 percent of small and medium enterprises (SMEs) utilising generative AI reported increased efficiency, while over 60 percent noted access to new revenue streams or reduced staffing requirements. The emerging paradigm suggests that conversational interfaces are increasingly driving commercial activity. Integrated tools now enable consumers to complete transactions initiated within AI-enabled conversations without redirection to external websites, effectively transforming each digital interaction into a potential point of sale.
The Reliability Problem
While the potential of agentic AI is significant, it must be evaluated alongside its current technical and operational limitations. Agentic AIsystems, despite their promise, exhibit a degree of unreliability that could prove detrimental to small and medium enterprises (SMEs) operating within narrow profit margins. A primary concern is model hallucination, where systems generate factually incorrect outputs with a high degree of confidence. While such inaccuracies may be manageable in isolated conversational contexts, they present systemic risks in agentic frameworks that manage inventory, dynamic pricing, or contractual commitments. In these instances, a single erroneous data point can propagate through interconnected systems, resulting in financial discrepancies or regulatory violations.
While some successes have been noted, they must be juxtaposed with the reality that many AI projects fail to move beyond the experimental stage. This suggests that for a significant portion of the market, the technology has yet to deliver substantive economic improvement.
Agentic AIsystems, despite their promise, exhibit a degree of unreliability that could prove detrimental to small and medium enterprises (SMEs) operating within narrow profit margins. A primary concern is model hallucination, where systems generate factually incorrect outputs with a high degree of confidence.
In addition to accuracy concerns, agentic systems introduce unique security vulnerabilities such as indirect prompt injection. In this scenario, malicious instructions are embedded within the data an agent processes, allowing unauthorised actions or data exfiltration without the user’s awareness. Recent vulnerabilities demonstrate that such exploits are feasible even in major enterprise tools. For SMEs with limited technical resources, identifying and mitigating these complex cybersecurity threats remains unrealistic. Moreover, a significant digital divide persists within the artisanal sector. Currently, less than 1 percent of India’s handloom weavers and craftspersons participate in digital commerce, highlighting a substantial digital literacy gap. While the vast majority of artisans express interest in digital marketing, this intent does not necessarily translate into functional capacity.
Creativity and Commerce
The case for integrating e-commerce and agentic AI into India’s small business ecosystem is worth exploring. These technologies offer a transformative shift by eliminating traditional intermediaries, enabling multilingual engagement, and automating complex operational tasks. By reducing costs and facilitating global market access for rural producers, agentic tools have seen increased adoption. However, these advancements must be evaluated alongside substantial risks, including model hallucinations, cybersecurity vulnerabilities, and the persistent digital divide.
The integration of intelligent agents into open, interoperable networks has the potential to transform the “invisible transaction” into a more equitable force, bridging the gap between artisanal heritage and the global digital economy.
The transition toward automated fulfilment and agentic commerce represents a significant evolution in India’s economic architecture. While the underlying frameworks are still maturing, the trajectory suggests a move toward a more decentralised and democratic marketplace. If deployed with human oversight and a commitment to digital inclusion, these tools could move beyond efficiency gains. Ultimately, the integration of intelligent agents into open, interoperable networks has the potential to transform the “invisible transaction” into a more equitable force, bridging the gap between artisanal heritage and the global digital economy. This evolution marks a move toward future-proofing the livelihoods of millions, ensuring that traditional skillsets remain a competitive pillar of the Indian economy.
Sauradeep Bag is an Associate Fellow with the Centre for Security, Strategy, and Technology at the Observer Research Foundation.
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