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1 Mantra, 3 Sutras, 7 Chakras - The MANAV framework
Mantra-Sutras-Chakras does not make this an Ayurvedic or Yoga article; it is an article on the Indian AI Impact Summit, which was rooted in the 5000-year-old philosophy of India’s civilisation, and through the AI Impact Summit, India is now at the forefront of shaping the next generation.
India just hosted one of the biggest global AI gatherings – the India AI Impact Summit 2026 in New Delhi. It signalled a major shift from AI pilots to production. Here’s what product leaders, product managers, and business analysts must know, and how to prepare for the new chapter of AI evolution.
Let me say this upfront. AI Impact Summit was not just another tech event.
India is signalling very clearly that it does not want to be the back-office operations for AI. India is preparing to be the backbone of AI infrastructure.
Why the India AI Impact Summit 2026 matters
India hosted this 7-day summit, held at Bharat Mandapam, New Delhi (16–21 February 2026). That had:
- 1 Mantra: From Vision to Action: India leading the AI Impact movement
- 3 Sutras: People, Planet, Progress
- 7 Chakras: Human Capital, Inclusion for social empowerment, Safe & Trusted AI, Science, Resilience-Innovation-Efficiency, Democratizing AI resources, AI for economic development & social good
- 30+ participating countries
- 500+ global AI leaders, heads of state, exhibitors
- CEOs from Google, OpenAI, Anthropic, DeepMind and Reliance
India made a geopolitical declaration: India is no longer just an AI talent exporter, it is positioning itself as an AI infrastructure builder and policy shaper.
And if you are in a digital product profession as a product leader, product manager, or business analyst, this article will guide you on the next steps in this AI era.
The summit started with the MANAV framework, which served as the “philosophical backbone” for India’s AI Mission 2.0 throughout the summit. It stands for:
- M – Moral and Ethical Systems: Ensuring AI is built on fairness, transparency, and human oversight.
- A – Accountable Governance: Establishing clear, transparent rules and robust oversight for AI systems.
- N – National Sovereignty: Protecting data as a strategic asset and ensuring it belongs to those who generate it.
- A – Accessible and Inclusive: Ensuring AI acts as a multiplier for all of society, rather than a monopoly of a few.
- V – Valid and Legitimate Systems: Mandating that AI systems are lawful, verifiable, and trustworthy
The India AI Impact Summit 2026 quietly marked the end of the “AI pilot phase” in India and the world.
The biggest shift: From AI pilots to production-grade systems
For the last 2–3 years, I’ve seen the same pattern across organisations:
- “Let’s try a GenAI POC.”
- “Let’s experiment with a chatbot.”
- “Let’s test AI internally first.”
Nice. Safe. Contained.
The central message of this AI Impact Summit was unmistakable:
- The era of AI proof-of-concepts is over.
- The era of scalable, production-grade AI has begun.
The panel discussions and industry sessions were not about pilots.
The summit addressed:
- AI infrastructure moving from the research phase into global, scalable solutions
- Launch of casebooks on AI in Health, Energy, Education, Agriculture, Gender Empowerment and Disabilities
- Cutting-edge AI research, emerging methodologies and evidence-based policy insights.
- Industry sessions saw global technology leaders, startups and sector champions to present real-world deployments and future-ready innovations.
- Leaders’ roundtable saw national and international decision-makers to shape collective commitments, strengthen global partnerships and define India’s leadership in the AI decade ahead.
- Council meeting covered concepts for ‘Responsible & Inclusive AI’ by adopting, affirming collective commitments and outlining a shared roadmap for global AI governance and collaboration.
Which tells me one thing: AI is no longer an industry buzzword; it now has a defined pathway that will shape industries for decades to come.
What this means for you as a digital professional is that upskilling and staying abreast are mandatory parts of your professional life.
Top announcements from the India AI Impact Summit 2026
Let me filter out key topics you need to focus on as a digital product professional.
1. India is building its own AI infrastructure backbone
India as a country will build and control its own AI infrastructure – its own data centres, GPU clusters, cloud capacity, and AI models, instead of depending entirely on foreign players.
In practical terms, for India, it means:
- AI workloads hosted inside India
- Data stored within Indian jurisdiction
- National-level GPU capacity
- Government-aligned AI infrastructure
- Reduced dependency on the US/China cloud dominance
The AI summit saw Reliance announce large-scale AI compute capacity. 120 MW expected to go live in H2 2026. India is targeting $200 billion in AI investment in two years.
These policy decisions will define the backbone of AI growth in India and influence the global economy.
If you’re building enterprise digital products, be aware of these things:
- Data residency conversations: Where your product data is physically stored and processed, in India or abroad?
- Local hosting pressures: Vendor partnerships will need to include Indian AI infrastructure; this may become governance policy under a guideline.
- Compliance expectations: Rules you must follow when deploying AI systems.
- Public-private AI partnerships: Collaboration rules between the government and private companies.
Tech & AI Infrastructure decisions are no longer “tech team decisions”.
As digital product professionals, you need to be aware of the foundational AI concepts, AI tools and AI-enabled products. The new age of AI decisions will also be a strategic business driver.
2. Multilingual AI is now non-negotiable if you want to thrive in a global marketplace
One of the biggest signals from the summit?
Google announced live speech-to-speech translation across 70+ languages, including 10+ Indic languages. The discussions were not just a feature enhancement announcement.
India is not a one-language market. And yet, many product teams still build in English first.
If you are building for India or a global non-English speaking market, you need to think & design AI-driven products which must now include:
- Real-time translation: Your product can instantly translate conversations or content between different languages.
- Regional language accessibility: Users can use your product in their own local language, not just English.
- Voice-first interfaces: Users can speak to your product rather than type.
- Speech-driven workflows: Tasks can be completed through voice commands and spoken interactions.
- Low-literacy interaction models: Your product works even for users who are not comfortable reading long text.
If your product strategy is English-first, you do not have a strategy to tap new markets for the ‘Non-English speakers’. Because today you are designing for the top 10%, it’s time to target the next 500 million users.
That’s a strategic blind spot, and as a product leader, you need to set the right digital strategy that goes from discovery to delivery in weeks and not months (sidebar – we can help, details below).
3. Indian indigenous models are emerging
There are many private & government initiatives to indigenously make AI; meaning build, train, and own AI entirely in India, with no reliance on foreign sources.
One such private organisation, ‘Sarvam AI’<> has become the face of this movement since 2025.
Sarvam AI launched:
- 30B and 105B parameter LLMs (large language models)
- Mixture-of-experts architecture
- Speech-to-text
- Text-to-speech
- Vision models
Why is this important? Because it changes dependency on Western AI providers and introduces India as a new age AI provider, providing everything end-to-end from infrastructure, software, hardware, to services and governance.
For years, Indian companies have built on top of western AI infrastructure. Now India is building within its own ecosystem.
Why this matters for product teams:
Whether you are a company in India serving Indians or a foreign company serving the Indian market, as a product leader, product manager, or business analyst, you need to start focusing on:
- Multilingual AI models tailored for India
- Lower-cost local model inference
- Faster iteration for Indic-first products
- Potential government alignment incentives
- Awareness of governance and policies around AI
The AI stack is becoming more localised in India, which changes competitive dynamics.
4. Physical AI quietly entered the conversation
Qualcomm showcased a humanoid robot powered by its Dragonwing AI stack.
The AI Summit saw discussions & presentations covering edge AI stacks and manufacturing automation, the AI use cases are pan-industry.
If your product touches the following processes:
- Supply chains
- Logistics
- Manufacturing
- Healthcare operations
Then, as a digital product professional, you need to start understanding how AI will impact, enhance or disrupt your business workflows, as AI will not remain screen-based. It will move into physical workflows.
That shift requires product teams who understand business processes and systems, not just interfaces.
What does this mean for digital product leaders?
If you are a Head of Product or CPO in India, this summit sent four clear messages.
1. AI is not a feature. It is architecture.
Stop thinking: “Where do we add AI?” because AI cannot sit on the product roadmap as a “feature bucket”.
Instead, pivot to asking: “How does AI reshape our core platform?”
The AI product strategy will now affect:
- Data warehousing and management
- Hiring AI & product management talent
- Vendor selection
- Data & Infrastructure Security
- Governance guidelines, policies and laws
- Budget allocation for the AI enterprise build
AI decisions are now board-level, which is much higher than introducing a set of AI-driven features.
2. Compliance around AI implementation will tighten
The AI Impact summit emphasised:
- Safe and trusted AI
- Inclusion and social empowerment
- Democratizing AI access
- Responsible deployment
- AI for economic growth
Which means AI regulations are coming.
If your team does not understand:
- Bias monitoring
- Auditability requirements
- Model explainability
- Human-in-the-loop design
- Responsible AI mandates
- Industry compliance frameworks
Your digital department will struggle in 24 months.
3. AI & Product Management talent hiring is critical
- SAS: Offers advanced analytics capabilities, including forecasting, time series analysis, and optimisation.
- IBM SPSS Modeler: A comprehensive platform for predictive modelling, data mining, and machine learning.
- Google Cloud AutoML: Provides pre-trained AI models for various project tasks, such as image classification, natural language processing, and forecasting.
Natural Language Processing (NLP)
India wants to be the AI capital of the Global South. Which means your best AI-literate product managers will become highly competitive in the market.
- Upskilling your teams is not a luxury. It is survival.
- You need to start by defining how the skills and roles are shifting and how your team will leverage AI for Product Management to advance their careers and roles. This is one way to train and retain talent.
- Your team of product professionals needs to possess the skills and qualities of a thriving product professional in the digital era. On top of that, AI awareness & capability are now essential core skills.
What does this mean for product managers?
If you are a product manager in India today, or if you are building for India as your client market, AI literacy is no longer optional. You need to know the foundational AI concepts at the tip of your fingers.
Here’s the reality of what the industry leaders will expect from you:
- Knowing how to use ChatGPT, Claude, or Perplexity is not an AI capability.
- Prompt engineering alone is insufficient.
- You need to know how your AI product manager journey will start, transform your career and benefit the company.
- You must understand AI concepts, AI tools, AI usecases
- You must design AI experiences, not just features.
The hiring managers will differentiate between:
- AI Tool users: Use AI Tools to create products using AI concepts. This is for your personal productivity.
- Creator of Products using AI concepts: It’s about designing AI-enabled products and workflows. These are your AI-enabled projects/programs.
- Rolling out AI enterprise-wide: Rolling out AI across an organisation for enterprise-wide, consistent use of approved AI tools and systems
- Govern AI (Own outcomes, risk, decisions): As AI product leaders, owning decisions, outcomes, and risk at scale and defining who is accountable when AI influences decisions, at scale.
You can no longer outsource AI thinking, design, or roll-out to data science and engineering teams.
What does this mean for business analysts?
I see the biggest shift in business analysis. Requirement gathering for AI systems is fundamentally different. As a business analyst, you are no longer defining deterministic behaviour. You are defining probabilistic outcomes.
Which means:
- Acceptance criteria change
- Risk assessment changes
- Stakeholder conversations change
- Data dependencies become central
- Knowledge of AI tools, services, constraints, and governance is mandatory
The digital era Business Analyst must become AI-literate. They are not expected to become coders or data scientists, but they have to know how to talk to AI.
AI is fundamentally changing the requirements-gathering process. And I am not just talking about using AI features in Jira, Asana, or ClickUp. That too is important, but you now need to:
- Define probabilistic acceptance criteria
- Design human-in-the-loop workflows
- Map data dependencies
- Anticipate model drift
- Translate governance policies into system requirements
The future AI-powered BA must be:
- AI-literate
- Business process champion
- Customer focussed
- Data-aware
- Systems-oriented
What does this mean for digital product professionals overall?
If you are a digital product professional, meaning you are a product manager, business analyst, project manager, Scrum master, Product owner, Testing team member.
Senior, junior, or intern, it does not matter. You have a massive opportunity standing before you, rather than being overwhelmed by AI terminology, concepts, and implementations. You need to start focusing on continuous, consistent upskilling.
India is entering its AI decade, as I see:
- AI Infrastructure is scaling.
- AI Policy is aligning.
- AI Investment is flowing.
- Global CEOs are interested.
The opportunity is open. But it will not stay open forever.
The professionals who thrive will be those who:
- Understand the skills needed to get the job done
- Integrate AI into product management lifecycle – Discover, Design, Define, and Deliver
- Build real AI-enabled systems
- Understand governance
- Think beyond prompt engineering
- Lead transformation conversations
- Take Upskilling as a personal responsibility
This digital future is yours if you are ready to upgrade your own AI knowledge & capability.
Where DSM fits into this shift
At DSM, we don’t teach AI tools in isolation. We teach AI-powered product thinking.
Because tools change, architectural thinking doesn’t.
Through DSM flagship programs & services:
- DSM Pro (Exclusive Membership Platform): A curated product leadership membership offering expert masterclasses, practical toolkits and a high-performance peer community.
- Digital Agile Product Management (DAPM™): A 10-week structured, real-world training programme that equips product managers to lead digital products across B2B and B2C industries.
- AI-powered Product Management Certification (AIPMC™): A 12-week, hands-on AI capability transformation program enabling digital professionals to design, deliver and scale AI-enabled products with confidence.
- Inner Circle | Product Management Coaching: A personalised coaching experience for ambitious product professionals ready to accelerate clarity, confidence and career progression in this AI era.
- Digital Product Capability Transformation (DPCT): A structured enterprise transformation that strengthens AI-powered digital product management capability across teams and leadership.
- Enterprise Consulting Assignments: Strategic advisory and hands-on product transformation support for organisations scaling digital and AI initiatives
We help digital product professionals:
- Move from AI awareness to AI capability
- Design production-ready AI systems
- Understand governance implications
- Lead AI conversations confidently
The India AI Impact Summit made one thing clear. India is not waiting to enter the AI-era ecosystem; it is steadfastly building it for itself and the rest of the world.
As a digital product professional, one cannot afford to stay in observation mode. If you are serious about moving from AI awareness to AI capability, designing AI-enabled products, understanding governance, and leading transformation conversations, now is the time to act.
Explore how DSM can help you build real, production-ready AI product thinking and position yourself ahead of the curve. Let’s start the conversation.
