Keynote by Naveen Tewari | Founder & CEO, inMobi | India AI Impact Summit

Contents

Executive Summary

Naveen Tewari, Founder & CEO of inMobi, argues that AI will fundamentally reshape global commerce through "agentic commerce"—a paradigm where individual AI agents create personalized shopping experiences tailored to each consumer's context, preferences, and budget. He projects this shift could generate approximately $3 trillion in economic opportunity for India alone by 2047, while simultaneously democratizing skills, extending human lifespan, and reducing economic inequality globally.

Key Takeaways

Agentic Commerce Represents Foundational Shift – We are transitioning from "personalized" (showing many things to many people) to "personal" (showing the right thing to you), powered by individual AI models trained per consumer.
Supply Chains Will Invert – Marketplaces will weaken; individual brands, local producers, and entrepreneurs will flourish as agents can directly discover and recommend them, benefiting entrepreneurial ecosystems like India's.
Transparency Must Be Built-In – The legitimacy of agentic commerce depends on explainable reasoning. Companies must proactively make recommendation logic transparent to build consumer trust and prevent AI-driven distortion (lessons from social media).
India's Timing Advantage in AI – Unlike the internet era, India can be a platform builder (not a latecomer) in the AI-driven commerce era, positioning itself for leadership in a $3+ trillion opportunity.
AI's Societal Scope Extends Beyond Commerce – Tewari emphasizes three parallel transformations: extended lifespan, skill democratization, and economic democratization—commerce is just one domain benefiting from AI's intelligence democratization.

Key Topics Covered

Agentic Commerce Architecture – A new AI-driven commerce model built on personalized, real-time consumer feeds powered by individual user models
Three AI-Driven Societal Transformations – Extended human lifespan, skill democratization, and exponential economic growth
Commerce Intelligence Graph – A foundational knowledge graph understanding every commercial element globally
Generative Experience Model – Visual, personalized outputs (vs. text-based answer engines) tailored per consumer
Living Context Graph – Real-time understanding of consumer context, price sensitivity, and purchase path optimization
Supply Chain Disruption – How agentic commerce will weaken marketplaces and empower individual/local brands and manufacturers
Transparency & Accountability in AI – Using explainable reasoning engines to build trust and authenticity in commerce
India's Competitive Position – Framing India as uniquely positioned to build global AI platforms (unlike the internet era)
Economic Efficiency & Consumer Intelligence – How billions of intelligent consumers reduce waste and create economic flywheel effects
Sanskrit Principles & Authentic AI – Invoking "Satya" (truth) as guiding principle for transparent, authentic AI systems

Key Points & Insights

Agentic Commerce = Individual User Models at Scale – Rather than personalized feeds, inMobi/Glance is building individual AI models trained on single consumers, scaling toward a billion such models. Each model understands that specific consumer's context, price sensitivity, and brand preferences in real time.
Three Architectural Pillars – The platform combines: (a) a Commerce Intelligence Graph (world knowledge of all commercial elements), (b) a Generative Experience Model (creating personalized visual/feed outputs), and (c) Individual User Models (trained per consumer).
Living Context Graph as Core Differentiator – Rather than static recommendations, the system maintains a "living" context graph that understands what the consumer is seeking in that moment, enabling purchase path optimization across billions of potential pathways simultaneously.
Marketplace Disintermediation – Agentic agents will render traditional marketplaces obsolete by directly connecting consumers with individual brands, local producers, and specialized makers—democratizing access without centralized aggregators.
Precision Manufacturing Signals – When supply chains receive precise consumer signals from agentic experiences, manufacturers gain dramatically improved productivity metrics, enabling demand-driven rather than forecast-driven production.
$3 Trillion India Opportunity by 2047 – Commerce represents ~25% of global and Indian GDP. Applying agentic AI to India's commerce sector alone projects ~$3 trillion in economic value over 20 years.
Transparency as Trust Foundation – Unlike current AI systems, Glance plans to make reasoning engines transparent so consumers understand why they received specific recommendations, establishing accountability and trust.
Consumer Intelligence Creates Economic Flywheel – Billions of consumers making intelligent purchasing decisions reduces waste at scale; recovered efficiency feeds back into the economy, multiplying market size and prosperity.
India's Non-Latecomer Position – Unlike the internet era (where India lagged ~10 years), AI is still early. India has opportunity to build global platforms across multiple sectors, not just commerce.
Authenticity via Transparency – Invoking Sanskrit principle of "Satya" (truth), Tewari argues that making agentic systems transparent enables authenticity, counteracting the distortion created by social media manipulation of mental models.

Notable Quotes or Statements

On Skill Democratization: "Today there is an engineer who is very good at coding and then there is one who is not. That's going to disappear in about five years from now. You might actually see everyone one of us across our country become super high quality coders."
On Agentic Commerce Fundamentals: "We are moving from a world of personalized feeds to personal feeds... Commerce in the world has always been driven across what I may like but today if you think about agentic commerce it is actually centered around you."
On Scale & Strategy: "We plan to train a commerce model for a billion people over the next several years... That is a superlatively advanced way of thinking about commerce."
On Transparency as Principle: "In the world of AI, the reasoning engine will become transparent so that everybody can understand why you were shown or recommended a certain product... that understanding of why creates transparency."
On India's Moment: "That's not the case when it comes to AI. And I think we have an opportunity not just in the sector of commerce but every possible sector to build global platforms."
On Authentic AI: "Once we make an agent transparent, authenticity becomes part of it... we have an opportunity especially as a company which is coming out from India [to lead the world very differently]."
On Audacity: "We have not had a more audacious plan in our history of 18 years... This is a what this event does to you. But this is what technologies like AI do to you."

Speakers & Organizations Mentioned

Entity	Role/Context
Naveen Tewari	Founder & CEO, inMobi; primary speaker
inMobi	Mobile advertising/intelligence company; parent organization
Glance	inMobi's agentic commerce platform (launched globally)
India AI Impact Summit	Conference hosting this keynote
Fujitsu	Mentioned as next keynote speaker (CTO Vive Mahajanan)
Prime Minister (India)	Referenced in context of "vision," "transparency," and "accountability" principles

Technical Concepts & Resources

Concept	Definition/Context
Agentic Commerce	AI-driven commerce model where individual agents create personalized shopping experiences based on real-time context, price sensitivity, and brand preferences
Commerce Intelligence Graph	Knowledge graph capturing all global commerce elements (e.g., "white shirt is a world knowledge"); analogous to traditional knowledge graphs in NLP
Generative Experience Model	AI model producing personalized visual/feed outputs (not just text); consumer-specific pamphlets or recommendations
User Model (Individual-Level)	Machine learning model trained specifically on single consumer's behavior, preferences, and context; key differentiator from traditional collaborative filtering
Living Context Graph	Dynamic, real-time understanding of consumer's current context, needs, and purchase intent; enables purchase path optimization
Purchase Path Optimization	Algorithm finding optimal purchasing routes across millions/billions of potential pathways based on price sensitivity, brand preference, and context
Answer Engines	Referenced comparator (e.g., ChatGPT-like systems) that output text; contrasted with visual generative commerce experiences
Explainable AI / Reasoning Engine	AI system whose decision-making logic is transparent and interpretable; enables accountability in recommendations
Agentic Manufacturing	Manufacturing systems that receive precision demand signals from consumer-facing agentic systems, enabling demand-driven (vs. forecast-driven) production
Marketplace Disintermediation	Structural shift where centralized marketplaces lose power; direct agent-to-brand connections emerge

Additional Context

Timeframe: Tewari emphasizes a 20-year horizon (by 2047) for realizing the $3 trillion India opportunity.
Founding Narrative: inMobi's 18-year history is cited as background for Tewari's credibility; he notes renewed energy and "ways of working as when I was in my 20s."
Philosophical Framing: The talk invokes Sanskrit principles ("Satya" = truth) and Indian entrepreneurial spirit as differentiation for building authentic, transparent AI systems.
Competitive Positioning: Tewari contrasts India's current position favorably with the internet era, positioning agentic AI as an opportunity to lead globally rather than follow.