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By Manikandan Mallikarjunan, Risk & AI Innovation, CapitalXB

Mumbai, February 18, 2026 — India’s 63 million MSMEs power 30% of GDP and 45% of exports. However, a massive credit gap still chokes their growth, stranding invoices and delaying supply chains. The 2026 Budget, with its push on AI and digital public infrastructure, is a chance to flip the script from collateral-starved survival to data-driven dominance in global trade. This opportunity is dependent on policymakers, lenders, and tech builders acting boldly, else India risks ceding the “digital silk road” to nimbler rivals.

AI is rewriting MSME credit underwriting

Banker gut calls and dusty balance sheets are now ancient relics. AI risk assessment engines now devour alternative data. GST e-invoices, digital payment patterns, utility payments, logistics signals construct richer risk portraits in seconds. Models can spot repayment signals in cash-flow rhythms that humans miss, boosting prediction accuracy well beyond static scorecards.

At CapitalXB, our SynapseXB multi-agent framework exemplifies this direction of travel: thin-file exporters in quick commerce or logistics can have limits and risk views refreshed using live transaction data, rather than waiting for annual reviews. This is live, human-in-the-loop technology that turns regulatory expectations on explainability and fairness into a competitive advantage instead of a constraint.

TReDS + AI: Budget 2026’s cash-flow turbocharger

Budget 2026’s focus on strengthening digital public infrastructure and deepening the use of platforms like TReDS is more than a technical tweak; it is fuel for unlocking stuck receivables. Consider a future where an MSME raises a digital invoice on a networked platform: AI verifies it against shipping proofs, buyer behaviour, and tax data, then helps financiers price and fund that invoice in near real time, with settlement riding existing digital payment rails.

This kind of flow directly addresses the chronic pile-up of MSME receivables, where delays cascade into production cuts and broken supply chains. As AI is embedded more deeply into TReDS-like platforms, anomaly detection on freight bills, early-warning indicators on buyers, and portfolio stress tests become standard features rather than cutting-edge experiments. For export factors like CapitalXB, that means faster fund releases and more stable cash flows for warehouse operators, EV supply chains, and other export-linked MSMEs.

Freight factoring and the “next layer”: AI meets blockchain

The Budget does not announce a dedicated “AI + blockchain for trade finance” programme. It does, however, double down on AI, data infrastructure and digital rails, hence creating the foundations for what I see as the next logical layer in freight and export factoring.

This forward-looking vision gained momentum at the India AI Impact Summit 2026 (Feb 16-20, New Delhi), where PM Modi and leaders of the Ministry of Electronics & Information Technology emphasised “AI for Progress” and “People/Planet/Progress” principles across 500+ sessions. Key discussions included AI’s role in economic development, cross-border collaboration, and equitable access to compute/models. Announcements like 8 indigenous foundation models (multilingual, domain-specific for governance/science) and 30+ AI Data Labs provide the tooling for sector-specific AI like trade risk engines.

In this context, logistics becomes ground zero for tech convergence. Each freight shipment generates verifiable events from booking and loading to transit and delivery which can be anchored on tamper-evident digital registries, while AI scores route risks, counterparties and unusual patterns. Smart, rules-based workflows could then release funds on delivery milestones, dramatically shrinking days-sales-outstanding and reducing disputes.

To be clear, this is not a description of an existing Budget scheme, but a direction India can move towards by building on the AI and digital public infrastructure priorities that Budget 2026 has already set. The Summit has now amplified the same through its focus on actionable AI for economic good.

The digital trade stack: India’s strategic advantage

Layered atop Aadhaar (identity), UPI (payments), DigiLocker (document verification), e-invoicing and emerging open commerce networks, India is building a digital trade stack that few countries can match. The Summit reinforced this with calls for “Democratizing AI Resources” and cross-sector AI pilots, feeding machine-readable trade data into AI systems for risk, compliance and operations.

Predictive analytics built on this stack can simulate sectoral shocks, policy changes or foreign demand swings, helping lenders tailor tenors, structures and pricing for different types of exporters. Instead of one-size-fits-all credit, MSMEs in volatile, fast-moving segments can be managed differently from those in more stable export niches.

AI’s blind spots: algorithms aren’t omniscient

Despite all its strengths in pattern recognition, AI is not magic. Poor-quality data can produce distorted outcomes, and biased training sets can systematically disadvantage rural or informal MSMEs. Black-box models also sit uneasily with regulatory expectations around transparency and fairness, especially in credit decisions that impact small businesses’ survival.

The Summit’s “Safe & Trusted AI” chakra addressed this head-on, advocating transparency, auditing and governance, which is critical for financial applications. Human oversight, robust governance and explainable AI are non-negotiable whether at CapitalXB or across the financial system.

Next five years: from digital rails to programmable trade

Looking ahead, the convergence of digital documents, AI, and programmable settlement instruments such as tokenised deposits or central bank digital currencies could reshape trade finance. Building on today’s Budget priorities and Summit momentum (e.g., 38,000 GPUs deployed, IndiaAI Fellowship for 13,500 scholars), India can move towards a world where financing is triggered automatically by verified trade events and settled on trusted digital rails.

This is a forward-looking interpretation, not a fait accompli in the Budget text or Summit agenda. But if India uses the AI and digital infrastructure thrust of Budget 2026 as a springboard—amplified by the Summit’s global collaboration push—it can position its MSMEs at the centre of a more open, programmable global trade network where small exporters do not just survive, but lead.