Building Indias Digital and Industrial Future with AI

20 Feb 2026 11:00h - 12:00h

Building Indias Digital and Industrial Future with AI

Session at a glance

Summary

This GSMA panel discussion focused on the convergence of AI, telecommunications, and data sovereignty within India’s digital public infrastructure (DPI) framework. Julian Gorman opened by emphasizing how telecom networks are evolving from simple connectivity providers to intelligent, programmable layers of national infrastructure that support AI-driven services and digital identity verification.


Rahul Vatts from Airtel highlighted how telecom networks have become the trusted foundation for India’s digital economy, processing massive transaction volumes through UPI and enabling fraud detection, spam prevention, and digital lending services. He emphasized that networks now provide critical trust layers for citizens, with Airtel processing 28 lakh crores rupees monthly through UPI infrastructure. Martin from Vodafone Idea discussed how telecom operators collaborate to provide contextual data enrichment for fraud prevention and authentication, working with government agencies to create open APIs that financial institutions can access for decision-making.


Deepak Maheshwari from CSEP provided historical context on data sovereignty, arguing that it should focus on contributing to global standards rather than controlling them, while maintaining selective control over critical national data. He emphasized the need for balance between openness and sovereignty, noting that complete data isolation would contradict India’s role as a global outsourcing hub.


Mansi Kedia from the World Bank distinguished between prescriptive standards and flexible blueprints, advocating for adaptable frameworks that countries can customize to their contexts. The discussion revealed tensions between achieving true data sovereignty and maintaining global interoperability, with participants agreeing that India’s DPI model offers a valuable open framework for emerging economies seeking digital transformation without technological isolation.


Keypoints

Major Discussion Points:

Evolution of Telecom Networks as Intelligent Infrastructure: The discussion emphasized how telecom networks have transformed from simple connectivity providers to intelligent, programmable platforms that support critical digital public infrastructure functions like identity verification, payments, fraud detection, and emergency response.


Digital Public Infrastructure (DPI) Integration and Avoiding Duplication: A key focus was on ensuring that India’s expanding DPI capabilities complement rather than duplicate existing telecom operator services, with emphasis on leveraging contextualized data and open APIs to enhance services like digital lending and fraud prevention.


Data Sovereignty Beyond Localization: The conversation explored a nuanced definition of data sovereignty that goes beyond mere data localization to include control over standards, decision-making systems, and strategic autonomy. Speakers distinguished between different types of sovereignty: physical location, digital control planes, operational control, and jurisdictional authority.


AI Integration and Regulatory Challenges: Participants discussed the complexities of embedding AI into network operations while maintaining explainability, accountability, and security, particularly around spam/scam protection where too much transparency could help bad actors circumvent security measures.


India’s Global DPI Model and Knowledge Transfer: The discussion highlighted India’s role in sharing its DPI framework globally, particularly with African nations and the Global South, emphasizing the open, interoperable nature of India’s approach that doesn’t involve restrictive intellectual property or monetization models.


Overall Purpose:

The discussion aimed to explore how India can leverage its telecom infrastructure and digital public infrastructure experience to maintain digital sovereignty while fostering innovation and global interoperability, particularly in an AI-driven future. The session sought to identify practical next steps for collaboration between public and private sectors in building trusted, scalable digital infrastructure.


Overall Tone:

The discussion maintained a collaborative and forward-looking tone throughout, with industry experts, regulators, and policy researchers engaging in constructive dialogue. The tone was optimistic about India’s digital infrastructure achievements while being pragmatic about challenges. Speakers demonstrated mutual respect and built upon each other’s points, creating a cohesive conversation that balanced technical expertise with policy considerations. The atmosphere remained professional and solution-oriented, with participants showing enthusiasm for India’s potential to lead global digital transformation efforts.


Speakers

Speakers from the provided list:


Debashish Chakraborty – Moderator, represents GSMA


Julian Gorman – Head of APAC GSMA


Rahul Vatts – Chief Regulatory Officer, Airtel


Speaker 1 – Representative from Vodafone Idea (also referred to as Martin/Matan in the transcript)


Deepak Maheshwari – Representative from CSCP (Center for Social and Economic Progress)


Mansi Kedia – Representative from World Bank


Audience – Vijay Agarwal, manufacturer of jewelry, interested in AI by profession


Additional speakers:


Martin – Same person as Speaker 1, represents Vodafone Idea (also mentioned as Data Protection Officer for the firm)


Full session report

This GSMA panel discussion, moderated by Debashish Chakraborty, explored the complex intersection of artificial intelligence, telecommunications infrastructure, and data sovereignty within India’s rapidly evolving digital public infrastructure (DPI) framework. The session brought together Julian Gorman (Head of APAC, GSMA), Rahul Vatts (Airtel), Martin (Vodafone Idea, former NPCI executive and current Data Protection Officer), Deepak Maheshwari (Centre for Social and Economic Progress), and Mansi Kedia (World Bank) to examine how India’s telecom networks are transforming from basic connectivity providers into intelligent, programmable platforms that underpin the nation’s digital economy.


The Evolution of Intelligent Telecom Infrastructure

Julian Gorman’s opening keynote established the fundamental premise that telecom networks have undergone a revolutionary transformation. No longer merely passive carriers of data, these networks have evolved into intelligent, programmable layers of national infrastructure that actively support AI-driven services, digital identity verification, fraud detection, and emergency response systems. This evolution represents a paradigm shift where networks become integral to the decision-making fabric of digital public infrastructure.


When questioned by moderator Debashish about the scale of this transformation, Rahul Vatts from Airtel provided compelling statistics that illustrate the extraordinary scope of India’s digital infrastructure. The network processes 28 lakh crores rupees monthly through UPI infrastructure alone, distributed across a billion users. This massive transaction volume is supported by over one million base transceiver stations (BTSs), 500 lakh kilometres of fibre infrastructure, and more than a thousand edge and large hyperscale data centres. Mobile switching centres handle loads of 30-50 million people, demonstrating the unprecedented scale at which this infrastructure operates.


The trust layer that telecom networks provide extends far beyond basic connectivity. Vatts described how Airtel has developed sophisticated fraud prevention systems that create deliberate friction to prevent scam transactions, including real-time warnings during suspicious calls. The company has also created risk indicators that enable banks to make lending decisions in milliseconds, particularly important for India’s micro-lending market. These capabilities demonstrate how networks have become active participants in creating trusted digital ecosystems rather than passive infrastructure providers.


Integration and Contextualisation of Digital Services

Martin from Vodafone Idea, drawing on his previous experience with NPCI, provided crucial insights into how telecom service providers (TSPs) collaborate to prevent duplication and enhance the effectiveness of digital public infrastructure. He emphasised that the DPI framework evolved with two core objectives: achieving digital inclusion and financial inclusion for India’s vast population through the Digital Lending Platform, which now serves over 1100 member banks across India.


The concept of data contextualisation emerged as a critical theme. Martin illustrated this with a practical example: while a phone call between two individuals represents revenue for a telecom operator regardless of its purpose, the same call might represent fraudulent activity for a bank if it coincides with suspicious authentication attempts from different locations. This contextual intelligence allows TSPs to provide enriched data through platforms like the Fraud Risk Indicator (FRI) and digital intelligence platforms, enabling financial institutions to make more informed risk assessments.


The collaborative approach among India’s major TSPs has proven effective in addressing evolving challenges. The industry has successfully transitioned from managing simple spam to combating sophisticated scams involving significant financial losses. This evolution required collaborative platforms and open APIs that allow institutions to access contextualised data while maintaining appropriate privacy and security controls.


Redefining Data Sovereignty in the AI Era

The discussion revealed significant complexity around the concept of data sovereignty, moving far beyond simplistic notions of data localisation. Rahul Vatts provided a sophisticated framework for understanding true data sovereignty, arguing that it requires four distinct elements: physical data residency within the country, digital sovereignty (control over the cloud’s control plane), operational sovereignty (local management of patches and upgrades), and jurisdictional sovereignty (freedom from foreign legal control such as the US Cloud Act).


This framework challenges common misconceptions about data sovereignty. Vatts argued that merely housing data within India’s borders does not constitute genuine sovereignty if the control plane, operational management, and jurisdictional authority remain outside national control. This insight led to Airtel’s development of its own sovereign cloud offering, leveraging the company’s capability to manage data for 500 million customers and providing 140 crore transactions per second capacity for critical applications.


However, Vatts also advocated for a selective approach to data sovereignty, recognising that complete data isolation would be neither practical nor beneficial. He argued for maintaining national control over critical data such as KYC information, health records, and defence-related data, while allowing efficiency gains from global hyperscalers for non-sensitive applications.


Deepak Maheshwari from the Centre for Social and Economic Progress provided historical context, tracing India’s digital infrastructure development back to the telegraph era of the 1850s, noting that India received its first submarine cable in 1858 and enacted its first Telegraph Act in 1854. Drawing from his recent policy brief “Global South’s AI Pivot” and his work on the 3C framework (carriage, content, and conduct), Maheshwari argued that India should focus on contributing to global standards rather than attempting to control them entirely. His approach to sovereignty emphasises strategic participation in global systems, suggesting that collaborative approaches to standard-setting can better serve national interests than attempts at unilateral control.


AI Integration and Regulatory Challenges

The integration of AI into telecom networks presents complex regulatory challenges that require evolved frameworks balancing accountability, explainability, and security. Martin highlighted a fundamental paradox in AI governance: the tension between transparency requirements and security effectiveness. In fraud prevention systems, explaining why certain calls or transactions are blocked could provide scammers with information to refine their methods and circumvent security measures.


The regulatory landscape is further complicated by the expanding role of TSPs beyond traditional telecommunications services. As operators increasingly function as data intermediaries, providing contextualised information for lending decisions and fraud prevention, questions arise about whether they should be subject to digital intermediary laws in addition to traditional telecom licensing requirements.


The discussion also touched on the concept of “reasonable AI” as articulated by India’s Prime Minister, which encompasses not only explainability and accountability but also considerations of equity, ethics, and ecological efficiency. Deepak referenced the “life” philosophy (lifestyle for environment) and his EOSS framework proposed in 2023, suggesting that AI governance should consider resource efficiency, environmental impact, and social equity alongside technical performance.


Global DPI Model and International Collaboration

India’s approach to digital public infrastructure has gained international recognition, with President Macron recently mentioning DPI as India’s biggest export globally. Mansi Kedia from the World Bank, referencing the “World Standard Development Report on Standards,” distinguished between rigid standards and flexible blueprints, advocating for adaptable frameworks that countries can customise to their specific contexts while maintaining interoperability. She used the example of the 1968 global traffic light standard to illustrate how effective standards can be both universal and locally adaptable.


The global appeal of India’s DPI model lies in its open, interoperable nature and the absence of restrictive intellectual property or monetisation models. Rahul Vatts described how Airtel operates in large countries across the globe and has taken DPI blueprints to Africa, offering a “DPI in a box” solution that provides a bundle of hardware and software, including air-gapped cloud solutions that deliver complete ecosystems for digital public infrastructure implementation.


Deepak Maheshwari emphasised that India’s global DPI sharing efforts are supported by diplomatic frameworks and soft diplomacy initiatives through organisations like the Research and Information System for Developing Countries and the Indian Council of World Affairs. However, Vatts argued that India should not be expected to give without receiving equivalent benefits, challenging traditional aid-recipient mentalities and asserting India’s position as an equal partner in global digital governance.


Audience Engagement and Emerging Challenges

The session included substantive audience questions that revealed additional complexities. One participant suggested hardware-based solutions such as jewellery-embedded data storage with cryptographic controls and blockchain records, while Rahul Vatts argued that current security issues stem more from data management practices than infrastructure vulnerabilities. This exchange highlighted ongoing debates about the most effective approaches to data security and privacy protection.


Another audience member raised questions about data embassies and reciprocal international arrangements, generating discussion about the practical mechanisms for implementing such collaborative frameworks while maintaining sovereignty principles.


Balancing Innovation with Security and Trust

The panel highlighted the critical importance of maintaining trust while fostering innovation in digital ecosystems. The telecom operators described multiple layers of security and fraud prevention measures that demonstrate how networks have become active participants in creating trusted digital environments. The infrastructure supports core DPI functions including Aadhaar-enabled payment systems that process transactions with response times under two milliseconds, demonstrating the technical sophistication required to maintain trust at scale.


However, the discussion also revealed tensions between different approaches to building trust and the ongoing challenge of creating regulatory frameworks that can accommodate the changing nature of telecom services while maintaining appropriate oversight and consumer protection.


Conclusion

The panel discussion, expertly moderated by Debashish Chakraborty, revealed a sophisticated understanding of the challenges and opportunities in building AI-driven digital public infrastructure. The conversation moved beyond simplistic policy rhetoric to examine the practical complexities of balancing national sovereignty with global interoperability, security with transparency, and innovation with regulation.


The speakers demonstrated strong consensus on the fundamental transformation of telecom networks into intelligent platforms, the importance of integrated rather than siloed approaches to digital infrastructure, and India’s leadership role in DPI development. However, they also acknowledged significant complexities around data sovereignty, AI governance, and international collaboration that require continued attention and nuanced solutions.


India’s experience provides valuable lessons for other countries seeking to build trusted, scalable digital infrastructure, but the discussion made clear that successful implementation requires careful attention to context, collaboration between public and private sectors, and evolved regulatory frameworks that can accommodate rapid technological change while maintaining security and sovereignty objectives. The unresolved challenges around AI explainability versus security effectiveness, the regulatory treatment of TSPs as data intermediaries, and the practical implementation of reciprocal international data arrangements indicate areas requiring continued dialogue between industry, government, and international partners.


Session transcript

Debashish Chakraborty

convergence of AI, telecom, and data sovereignty all weaved around the digital public infrastructure. I’m Devish. I represent GSMA. I’ll request Julian Gorman, head of APAC GSMA, to give his keynote address and then we start with the panel discussion. Julian.

Julian Gorman

Good morning, everyone. Warm welcome, distinguished guests, colleagues and partners and speakers who have joined us today. It’s a great honour to actually open this session for GSMA. GSMA, for those who don’t know, is the global organisation uniting the mobile economy, that means mobile operators and the ecosystem, to unlock the power of connectivity so industry and society thrive. And this session really goes to the core of that around intelligent networks, intelligent telecom networks for digital public infrastructure, a topic that sits right at the intersection of where the telecom industry is heading and where national digital public infrastructure is heading. And that’s where we’re being built. Of course. India is really at a pivotal point in its digital journey and a key player in this space.

They’ve been on the digital public infrastructure journey for a lot longer than the rest of us, but over the last decade, we’ve really seen the rise of digital public infrastructure recognised from identity and payments to digital commerce and data empowerment and has shown the world what is possible when scale, innovation and public purpose come together as delivered inclusion, trust, economic impact at a level few countries have achieved. But as we enter this next phase, which is shaped by AI, real -time data and increasingly autonomous systems, we need to ask a fundamental question, and that is what are the role the telecom networks play in this new digital infrastructure? For years, networks were viewed simply as connectivity providers and that view is changing.

Today’s mobile networks are becoming intelligent, programmable and trusted layers of the national infrastructure. and they’re shaping how AI models perform and will perform and how services are optimised at the edge, how fraud is stopped before it happens and how digital identity remains secure in a world of growing complexity. In India, networks already support core DPI functions, identity verification, payments, emergency response and major public service platforms. As AI becomes embedded in these systems, the networks don’t sit back anymore in the background it becomes part of the decision -making fabric providing context and priority for tokens or the critical elements of data which digital public infrastructure information is the predecessor of. Through this, the network becomes a contributor to governance, resilience and trust.

And that brings us to the second major theme of the day, digital sovereignty. In an AI -driven world, sovereignty is no longer just about where the data is stored, it’s about having strategic control over the infrastructure. The key to this is the ability to manage the infrastructure the standards, and increasingly, the intelligence that underpins the national digital system. Countries want to know, how do we build AI -enabled public infrastructure that is safe, interoperable, and aligned with national priorities, while still remaining connected and interoperable with global markets and innovation? This is exactly where global standards matter. Fragmentation, whether technical, regulatory, or geopolitical, slows down. Interoperability, open APIs, harmonized frameworks, help countries scale confidently, while staying part of the global digital economy.

India is uniquely positioned to show how this balance can be achieved. Open, yet sovereign. Scalable, yet secure. National in ambition, but global in design. And our goal today is not just to talk about these themes, it is to translate them into direction. To identify practical next steps. To create space for collaboration. and to learn from India’s experience in ways that matter for economies that are at every stage of digital development. So I’m looking forward to the discussion and to the concrete actions we can shape together and I look forward to very big contributions from the panel today and also to hear more from the audience later. So thank you. Debashish, I hand over to you.

Debashish Chakraborty

Thank you, Julian. Thanks for the opening remarks. Am I audible? Looks like yes. So let’s begin. We have a fantastic panel here of experts. So let’s start with this discussion. So what we have seen over the past few decades that telecom networks have evolved. They have evolved a lot from just enabling voice to powering mobile broadband to becoming the trusted digital infrastructure that we use today underpinning the modern economies, right? So today’s network are no longer passive carriers of data. They are becoming intelligent platforms where AI is deployed either as an add -on or embedded already into the network, where digital identity is authenticated, where fraud is mitigated, where sovereignty over data and decision -making is increasingly exercised.

As India advances in digital public infrastructure and its AI ambitions, the key is how we ensure these systems remain trusted, interoperable, and globally compatible while avoiding fragmentation and duplication. And that is the conversation which we aim to explore today. Let me start with Rahul, who is the Chief Regulatory Officer for Airtel. Rahul, we often talk about digital public infrastructure as applications and platforms, but at the foundation sits the network which you drive. So from Airtel’s perspective, what makes the telecom networks uniquely positioned in the digital world? It is as India’s trusted infrastructure layer. beyond just connectivity.

Rahul Vatts

Thank you, Devashish and GSMA for this particular session. It’s a session of particular interest to me as a user in the digital ecosystem and of course to the entire digital fraternity because if there’s one thing which India is doing great, it’s really the digital public infrastructure to the extent that President Marcon yesterday actually mentioned about it. It’s the biggest export which India has done across the globe. So let’s talk about what’s really happening today. If you look at the data of January alone, India transacted 28 lakh crores rupees of money through its UPI infrastructure. It was spread across a billion people and all this is happening on what? On what is the foundation layer? It is the foundation layer, is the connectivity layer.

and so for us at Airtel this is not just a plumbing job it’s the very heart of the foundation we are laying for trust how are people transacting this much amount of money because they trust the ecosystem to which they really want to do this and so beneath this layer is really the connectivity which has powered the country look at the numbers of connectivity in a country like ours we have got more than a million BTSs powering the entire country we have got more than 500 lakh kilometers of fiber running across in various shapes and forms across the country we have got as an industry more than a thousand edge and large hyperscale data centers now can you imagine each of the mobile switching center carries a load of at least 30 to 50 million people sometimes or even larger at times so this is the scale with which the infrastructure is becoming the layer with which we are operating what is all this enabling let’s look at that that.

What it is enabling is every transaction you do, there is a OTP or SMS which is coming out, right? So this OTP and this SMS is what? It’s a layer of trust that people are trusting the message which they are trying to get on their system. Let’s look at the Aadhaar enabled payment system. More than 500 million rupees done on that alone. And how is that enabled? Through a connectivity which is happening in less than 2 milliseconds. So this again is an example of that same ecosystem. Let’s go further. What’s really happening and how are we doing? I don’t know how many of you actually visited the Airtel stall. We have got solutions where banks can use the telco indicators to make a smart choice about giving you loans, right?

We rank a person’s history based on a low risk or a high risk which enables the bank to be able to take a smart decision in a matter of milliseconds. Remember, in India, it’s not the large loans that matter. A lot of loans which are happening in the ecosystem are less than 200 lakh rupees, right? Just 2 lakh rupees or below are also a large amount of loans which happen. there is a financial risk fraud indicator which the department has created banks can dip into that risk indicator and also get a score out of that to say okay what is it that we are really you know trying to get out of this all this is what the layer is let’s look at what vs telcos are doing vs telcos are giving you trust to say that the call you are giving call you’re receiving is spam free or not right we have got a at least three products launch over last one year we first launch our you know solution which warned you about a suspected spam right then we went ahead we started blocking fraudulent links you know basis the large database we created with you know global players like google and open fish and mavener at the third stage we just launched around two weeks back a very powerful product you know one of the reasons for spam is urgency that i’m calling you please share your otp urgently right and to remove that now we have created a friction you know one of the reasons for spam is urgency that i’m calling you please share your otp urgently right if you are on a call you get a flash message saying please be careful you are on a call you’re receiving otp this may be spam so it creates a friction for those 30 seconds to say do you want to really do this or not all this is what this is uh reinforcement of the trust we want to create in the ecosystem let me go a little larger uh we are operating in large countries uh uh you know across the globe and one of the things we have been doing wonderfully well in africa is to really take the digital public infrastructure blueprints from india and take them to africa uh so it’s all about identity it’s about payments you know it’s about how they are able to transact and we have got a solution called dpi inbox right which we are in conversation with a lot of african leaders to be able to transplant the india stack onto the african ecosystem and how do we do that we are giving a bundle of hardware and a software we are giving a very air -capped cloud you to do that and we are creating the entire ecosystem for them so that they are able to implement a digital public infrastructure stack in their countries.

So really, Devashish, it’s about trust which we try to create with infrastructure layer but we get smart and make people’s life easier and customers’ life easier is what we are

Debashish Chakraborty

Thanks, Rahul. Those were very key messages which you gave in which the network is being used for citizen -centric services and that’s how the network has evolved the last few years. Coming to you, Martin. Martin represents Vodafone Idea. You heard Rahul speaking about how the network is being used for various citizen -centric services for fraud mitigation, for taking care of spams. A lot is being done by the mobile network operators, right? But my question here is there’s also a growing discussion globally today about avoiding parallel digital infrastructure. structures. India is building new DPI trust layers for authentication and fraud prevention. How do we ensure that the efforts which the MNOs, the mobile network operators are making adding layers, how do we ensure that there is no that these complement and not duplicate the operator -led capabilities like Open Gateway APIs that GSMA has?

Speaker 1

So, in fact, I was part of one of the entity which set up and contributes to the largest DPI infrastructure today. I used to earlier be associated with the NPCI and then moved on here to Telco for the past five years now. So, the overall DPI infra, if I were to go by, I would want to answer this by bringing in four key words that I want to associate myself with in this. One, context and enrichment. And the second thing that I wanted to touch upon is serviceability and purpose. So when the entire DPI infrastructure evolved for the country, it evolved with two core purposes to be addressed with, right? So we were wanting to take the entire digital infrastructure to reach the last mile civilian.

We also had the objective of financial inclusion to be driven by the country. So the DPI framework was created to meet these two core objectives. The role of a TSP in this, by and large, was to ensure that the goal of digital India and financial inclusion landed up reaching the masses. That’s the role that TSP played. And with every net new tech evolution that has happened, there are various things that come in. Fraud evolved, so because banking happened in doorstep. fraud also started happening in doorstep. You don’t have to go and loot a bank today. You can loot thousands of individuals in the most easiest manner and fraud evolved that way. So in each of these contexts, while we realize the Digital India vision and the financial inclusion for the country as a whole, the DPI networks played a role, TSP’s played a role to ensure that these realizations come in handy.

Now, Rahul briefly touched upon a few of them. We are limited TSPs in the country, three, four of us comprehensively, who work in conjunction context. Amongst us three, we land up working together. So I still remember those days when, as from my previous entity going to TRAI, asking them to land up sitting up, how do I find out fraudulent mobile numbers yearly? Today, we look at it as FRI, which is exposed by, the DOT themselves today to multiple other financial institutes, which can go and look up into and then take a decision. decision. There is something called as digital intelligence platform, which again, amongst all three collaborated TSP data, which is converged and provided by the DOT themselves to rest of the financial institutions to look into.

Now, all of these, I will bring back my word around context, right? So these are information that multiple of us as TSPs are able to provide, provide, collate and make it available. Who can consume? Any of these providers, because fraud is not happening to me as TSP. For me, if there is a call that is connected between person A and a person B, it’s revenue to me. But for a bank, while in call, something else is going, that is a context. And this context is something that you can provide back to enrich the data. And with this enriched data, making a decision making for what do they want to. I see an Aadhar, verification happening live from a location called A. while at the same time there is a call happening showing that the presence of the person is in B, it does not matter to a telco because for me both are actually revenue.

But for an authentication entity versus an entity which is approving a financial transaction, they may consider them as a fraud. So the context and enrichment of the context associated with the data, TSP today has the ability to provide a large amount of context -driven information to these individual players whereby they can consume them for their own utilization and make active decisions. So that’s the way that I would want to try and comment. One good part is at least all three of us, four of us are operated in converged platform. We have done the experience with DLT that we set up during the earlier days of spams. Now spams were those days only. The unwanted telemarketers messages that were coming, it has evolved to spam.

Spam has become scam. So now we are working towards how do we overcome scam beyond scam, whatever comes. Now there are digital errors, humongous money being lost. So as TSPs, we work in conjunction, put them in order, collaborate with the likes of COI and DOT to set up infrastructure as open APIs and then allow these APIs as interfaceable for institutions who would want to take decisions appropriately. Rahul touched upon digital lending, right? So there is not only, if you look at countries serviced today by more than 1100 member banks across the country. We might be knowing as sitting in metros, we might be remembering only few banks, but to service such a large nation, we have 1100 member banks.

Imagine these guys don’t have to always go back to civil only and provide a lending. You may want to relate back by postpaid consumers, the quantum of money that they pay frequently, etc. It’s an inclusive decision. Those are open APIs we are able to set up. And India is. We have been forefront to set it up and we have operated it way too well already. is what I would want.

Debashish Chakraborty

By the way, your team is also working extensively with the GSM team on the GSM OpenGate APIs. Many of them have been even certified now. I can tell you that. Thanks for that context in which you are talking about contextualization of data. That’s again a unique perspective that you’re talking about. Moving on to Deepak Maheshwari. Deepak represents CSCP, Center for Social and Economic Progress. Deepak, you have been attending and speaking in this conference for the last couple of days. Data sovereignty, I’m sure, is a term which you would have encountered several times. I want to ask you this, Deepak. How should India define data sovereignty in an AI -driven DPI era beyond just data localization and control?

But how should India define data sovereignty without control over standards, decision -making systems, and long -term strategy? strategic autonomy.

Deepak Maheshwari

Thank you, GSMF, for having us here. When we are looking at this whole issue about digital sovereignty, data localization, etc., and data localization itself, we could look at it in different ways. For example, it could be about just the physical location of the data. That’s one. That’s a pretty obvious one. The second is also about data context, as Matan was just mentioning, in terms of what is the local context. So, for example, a lot of people think about data localization only in terms of local languages. But suppose you are seeing weather, and it shows you weather in Hindi here in Delhi, but of New York, probably it might not be that useful. So you also need local context.

And then beyond all these things, awfully what is happening is, and again, this is not such a new concept of sovereignty as such. So people have been talking about sovereignty. It’s been around for a fairly long time. Of course, the terminal of sovereignty is the fact that it’s not just about the data the lexicon has evolved but this whole notion has awfully become much more important for example even in India we had the digital, when we looked at the previous versions of the data production law if you look at the previous reports which never become the policy which is the non -personal data framework again in all those things we had this notion that India’s data should remain in India.

Another thing I mean in February 2019, 7 years back we had something called draft e -commerce policy. Now the tagline of that however was India’s data for India’s development. It was not about commerce. It was more about data. So from that perspective when we look at today and even when I was member of the METI’s committee in 2018 when first time the government set up a committee on AI, again this whole thing came up that okay what about data here. Now this is something that we need to look at in three different ways. One is yes Yes, there is some sort of data which India should have within its own physical as well as administrative control.

So obviously things related to defence, national finances, etc., you would like to do that. Second is as far as citizens’ data is concerned, some of that data, yes, so UIDI, voter database, etc., obviously that type of thing, yes. But there is other type of data for which citizens themselves may like to exercise their choice and may like to exercise their own agency in terms of using that data not only in India but also outside India. For example, if I apply for a visa to another country, I will have to provide my data to that country. So there is no way that it can happen without that. And then the third thing is in terms of business aspect when we look at it.

Now in terms of businesses, on one hand we are seeing in India, and we are very proud of it, that for the past, three decades, we have emerged as a global outsourcing hub. are the global hub for data coming from all over the world and which is being processed here. But at the same time, if we try to create these walls around us, that okay, India’s data cannot go outside, but we expect that outside data should continue to come in. I think there’s a challenge in that. There’s a dilemma in that. There’s a dacotomy. Because these are walls. If we create these walls, and these are not walls, because in fluid dynamics, if we go back to our school physics, the walls are something that do allow one -way traffic, not two -way traffic.

But walls are two -way isolations. So that’s another thing that we should keep in mind. So when we’re talking about digital sovereignty within the context of AI, yes, obviously, there are things that we do want to have here and we should continue to do that. But there are also things where we do need more collaboration. So for example, one of the terms that he used was about control. a school, and you’re talking about a school, and you’re talking about I would like to control the standards so much as contribute to those standards. So, for example, whether it is GSMA or CGPP, ISO, ITU, IEEE, et cetera, I mean, so many other standard organizations, whether they are plurilateral, whether they are multistakeholder in whichever form, they all have certain mechanisms of people and countries to participate in that decision making.

So rather than controlling that standard, the effort should be, the endeavor should be about contributing to that standard making as a participant, as a contributor, and then evolve it. Obviously, when you are contributing and you are collaborating, you won’t have everything your own way. There will always be inevitably some give and take because sovereignty by itself in a globalized world has a challenge because the moment we talk about any international organization, we are talking about international organizations. whether it is UN, whether it is WTO, whether it is ITU, whether it is an organization like GSMA, if we want to work there, we’ll have to give up something to get something. The important thing is how do we create an institutional mechanism that we have, are in a position that whatever we are giving, we believe that we are getting more than that.

So there should be some sort of incentives around that. And the last thing that I want to mention is that, yes, often we have been talking about that India’s digital public infrastructure itself is a massive digitalization which is happening, but actually it is not so new. It’s more than one and a half centuries old. Because the original telecom networks that came was in the telegraph era, and that was also in dots and dashes. So it was a binary world even at that time. And people may or may not believe it, but India got its first sub – cable in the same year that the US got. And that was in 1858. Just four years after the first submarine cable came up first time between UK and France.

India got its first law Vivek in 1854. The first Indian Telegraph Act came in 1854. I have written a lot about this in this report. I mean it is available online at CESAC website if people are interested. Using a 3C framework. So carriage, content and conduct. But what is more important is in this world of AI is not just the carriage which is of course fundamental as I mentioned. Carriage is fundamental because without that you just won’t be able to do anything. Content, what’s going through it. But more importantly in terms of

Debashish Chakraborty

Beautiful insights. Thanks for taking us back to the concept of walls and walls. I like to come to Mansi now. Mansi sitting here is representing the World Bank. Manasi, from World Bank’s experience, we are talking about standards and we are talking about the DPI era. What are the risks you see when public digital infrastructure and private digital capabilities, Matan spoke about it briefly, when these two, the public digital infrastructure and private digital capabilities are built in silos, and why are global standards essential in accelerating inclusive digital outcomes?

Mansi Kedia

and Raul spoke about a lot. So systems coming together help build trust and therefore having independent systems means there are more points of, more vulnerability in the system. So systems come together to build trust. Systems have to come together for efficiency. I think that’s the biggest economic argument against a lot of things that you were saying about why banks are coming together, why is data coming together. So that is the, efficiency is the other thing. And the third which was mentioned but again not articulated was innovation. So how mobile data is now becoming a source of data for lending. I mean why are we using that as understanding credit risk and fraud risk and not something else.

So there’s innovation happening on something that was never understood to be for that purpose. So systems that operate in silos, whether it is the public sector or the private sector. Close it. Sorry. Whether it’s the public sector. Maybe it’s off. Oh I didn’t have it on, I’m sorry. I have a loud voice, so I hope everyone was able to listen to me. So I think the risk of building systems in silos, whether it is the public sector or the private sector, is essentially missing out on efficiency capabilities, innovation capabilities, and building trusted ecosystems, which is actually nothing but the foundations of digital public infrastructure. You used standards. I think the World Bank works more towards the ideas of blueprints.

We have been doing a lot of work on trying to develop blueprints, which are slightly more flexible, adaptable, but bring together best practices from different countries and see how they can be made more adaptable to different contexts, something that Deepak sir was saying in his initial remarks, that you want to make systems that bring you the operational ideas and principles, but don’t necessarily require. They may be prescriptive in terms of how they need to do some. So when you have a standard, you know it’s prescriptive, and that’s how the networks are running. So for that, you need a standard. But when you’re building systems. I think the World Bank is approaching it more from a blueprint point of view.

So last year, the bank came up with a digital public infrastructure and development report where it articulated what it meant by digital public infrastructure. What are its principles? What are the objectives? What is DPI? What is not DPI? And I think that’s the way we are going to go ahead, even with AI, AI commons, building common infrastructure, to be able to determine the pathways for the future, which countries can adapt to in their ways. It need not necessarily become, I mean, I’m just trying to distinguish between standards and blueprints here, because standards then get into ideas of commercialization and, you know, there has to be a process around it and there’s a whole private sector play.

Here there’s a private sector play and a public sector play, but the idea is to work more on the approach than on a particular way of running something.

Debashish Chakraborty

perspective back for data sovereignty. So I’d like to ask you as AI moves deeper into network operations, right, not just at the surface level, what does data sovereignty practically mean for an operator in terms of data storage and control, edge processing, cloud reliance, control of the AI models?

Rahul Vatts

Yeah, thank you. I think one of the biggest misconceptions we all have today is, you know, what exactly is sovereignty? And a lot of people confuse to say that any hyperscale account, if it is housed in India, for example, or that country becomes a sovereign, you know, infrastructure. I think nothing can be away from growth than that statement. Why do I say that? I think if I have to define what is really sovereign for me, I will at least take three or four slices, you know, into it. first slice for me will be is the data residing in the country or not and the answer to that may be yes you know it may be residing in the country it’s not a big deal hyperscaler clouds do reside in the country the second indicator for me will be is there a digital sovereignty you know in that data and digital sovereignty for me will be is the control plane of that cloud within India or not in India right how are you really controlling that data and the cloud and the answer to that is not a single hyperscaler will have the control plane in this country that’s the fact the third indicator or a slice for me will be really about the operational sovereignty so you are saying that you want to upgrade the network you want to put a patch on the network right you want to put a software in the network where are you doing it from the fact is you are not doing it locally again most likely you are again doing it outside the fourth indicator for me and a very important one is the jurisdictional sovereignty right today under the US cloud act for example is it not true that if the US government so wants they can demand data now why should any other territorial power have a control on my data right so for me while the answer for data sovereignty may be it is locally residing but the fact is the control pane will not be in this country the fact is that we will not have even the patches coming up within this country and the fact is that we will be subject to jurisdictional controls so how are telcos you know getting aware about this only last week I read about DT you know Daoshi Telecom and they’ll just launch the sovereign cloud offering in Europe why did they launch and by the way six months ago Airtel launched its own sovereign cloud offering and the answer to us was very simple we were already managing data of nearly 500 million people and we were able to get a lot of data and we were able to get a lot of data in our network and we realized where is the data housed?

We said within our own networks. So we really have the capabilities to manage that complex data set. Then why is it that I cannot offer the same thing to my customers? And that’s where this whole, and that’s why telcos are having a renewed interest into getting into the sovereign situation. Why is it important? And let me be very selective about this. Do we need hyperscaler clouds in the country? I’m saying yes, we do need. Because if there are efficiencies of scale, if there are better products to be used, why not? But tell me, why should a KYC data of my customer be sitting outside with somebody? Why should the health record of citizens in this country be sitting outside this country?

Why should any critical data set which relates to defense or security agencies sitting outside this country? I think we have to get selective. We use the efficiencies of scale to the best party who is available to give that solution. But we should get selective. Get selective on what data? should reside and remain in control within this jurisdiction. I think that is an important part and that I think is a discussion we need to do. If I go to the market today, there are a lot of players selling Sovereign Cloud. But really, I mean, there is no sovereignty which is involved. But I think AI rests on data, right? And we cannot take the right decisions on data if we cannot really control it in the proper sense.

Hence, we require dynamism in our regulations and policies, but we also require sovereignty to be practiced in real sense for us to be able to do that. Airtel Cloud, which we made, we do around 140 crore transactions per second. That’s the bandwidth we have built. It was very interesting that day when the Prime Minister came to Airtel stall, he was asking, Rahul, what is the capacity of the thing you have created? And I told him, you tell me, sir, what is the capacity you want us to create, right? It’s really up to you. You have to guide us and say, we want to have these multiple use cases. Thank you. lining up the country and we are most happy to do that.

So I think we are in a very good place. We have got very robust infrastructure. And how do we now navigate this world of AI and provide a real opportunity and sense to our players within the ecosystem is what we are really looking forward to.

Debashish Chakraborty

You reminded me from this conversation which we were having just a couple of days ago when someone was talking about data sovereignty and he said, it’s so utopian to talk about data sovereignty where if we slice and dice, then you realize where is the sovereignty. And you touched on that. Thanks for that point. Martin, I’ll come back to you. This was actually meant for Ambika, but you have to deal with this. So from Vodafone Ideas regulatory lens, what are the biggest policy frictions emerging as networks become AI -driven platforms? If you see any regulatory challenges, how can these be met with data sovereignty? slowing innovation?

Speaker 1

So I’ll try and answer them in two perspectives. We heard our Honorable PM mentioning AI being responsible and reasonable. The word he used was reasonable in nature, multiple location, right? So it brings in, and there are multiple other contexts with reasonability that comes our way, one being explainability, another being accountability, and so on and so forth. So today, if you look at we as TSPs, TSPs are governed under the ambit of what we want to call ourselves with unified license, which is narrated by DOT. In some of these examples that we, with Rahul touched about, I touched about, and whatever World Bank team as well related back, we are able to see that our portfolio has expanded beyond the conventional TSP governed under the US.

license and today looking at the expanded approach that we are offering to market whether monetization not monetization thank god at least the data privacy is enacted now apparently i’m also the dpo for the firm so by virtue of which when we touched upon this area called data localization or what we would say is data sovereignty i think we largely misinterpreted is my personal view around that data privacy the dpdp at least clarifies that data collected has to be defined with a purpose we put in with a purpose now thankfully although i’m a tsp base is we falling under the ambit of a significant data fiduciary most likely we will be also governed by the data privacy laws of the country So there are regulations which are governing us possibly properly well.

So if I narrate this in three or four broader perspective of looking at accountability and explainability, when we leverage AI, we would want the AI to come and explain. Now, is it covered under the ambit of UL or in the data privacy? Maybe no at all, right? So we would want somewhere, Mansi actually narrated it very well, which is we would want somewhere a referenceable standard coming our way, where all of us can relate back easily and apply back. It could be blueprint, it could be playbooks, it could be. So such framework, does it exist for easily adaptable manner? The larger entities like us, we will be the first one possibly to invent the way to do through, make it as a playbook.

Related back to somebody who can make it as a blueprint and make it as a standard, then apply back to. the rest of the industry as a whole. So that’s the first and foremost. So the role of a TSP also is changing today, right? So from a conventional telecom provider, today we are talking about the previous example that I highlighted as an intermediary providing additional data inside. Now there is a law for digital intermediaries. Now the purpose for which a civilian has shared the data to me is for some other purpose. But the purpose beyond the purpose that he has shared to me, if I have put it to from a monetization standpoint, do I apply the ambit of digital intermediary also on me?

That’s a, that’s a, I wouldn’t want to comment as a, should my regulator look upon that and then put that also as applicable to me. But those are evolving space that we are looking at. And the last very famous topic amongst telcos that is floating around is on the spam and the scam protection, right? So here, let’s look at from again, Honorable PM, perspective, which is reasonable AI. Most of us associate reasonable AI back to explain. Now, imagine we have deployed scam solution which auto blocks things and we would want that AI to explain. Why did I block you? If it were to be blocked, then what am I looking at? I’m actually advancing the ability of scamster to know why am I blocking him so that he refines himself to not get blocked.

So that comes in the context of security. Do I do I make a framework? Do I make a guideline to tell here I would not want to have an explainability where security becomes a far more important element as compared to. So frameworks have to evolve. We need to have standards, but standards do not have the ability to make it universally applicable in all possible manner. So standards are taken, applied back as per individual enterprises and the context that we have to put them to use and then make it work. So I look. Look forward. Regulators will be innovative in allowing us to make the choices as appropriately while regulations can continue to evolve appropriately.

Debashish Chakraborty

Thanks, Martin. I’ll take this conversation slightly global with my attempt, Deepak. How do you think India can leverage its DPI and telecom -led digital architecture to provide a credible, scalable model for the global south, particularly countries seeking digital sovereignty without technological isolation?

Deepak Maheshwari

Okay. So when we are looking at somebody offering any technical solution to someone else, typically it comes with certain – It often comes with certain intellectual IPRs, intellectual property rights. So, for example, somebody is using a particular technology, so there could be patterns, there could be copyright, et cetera. Now, when India is offering its DPI -led model, nothing of that sort is going. Okay. So countries are able to adopt. It’s a framework. It’s a philosophy. And there’s an open protocol. So they can adopt it. They can adopt it. and they can change it the way they wish. So it is really open in that sense. So that’s one very important difference compared to let’s say some other country or company offering some particular technology but then it also involves certain type of monetization in terms of this is what you continue to pay us if you are scaling it to let’s say 1 million population, this is what you will pay us if you are doing it for 10 million or 100 million, this is what you will do.

India doesn’t ask for that type of thing. So that’s one very strong distinction. The second thing is in terms of the enablement. The enablement is also happening not just in terms of offering this as a technical sort of assistance, it is also happening through multiple other organizations. So for example, we have a research and information systems think tank under the Ministry of External Affairs and others is the Indian Council of World Affairs. So they are also doing a lot of work in terms of developing intellectual frameworks and capacity to do this as a matter of diplomacy itself. so that’s another dimension which is not often seen but it’s again a matter of soft diplomacy so for example three years back in 23 at ICW again I had proposed a framework called EOSS which was again basically about taking DPI in India I mean you can of course create a different acronym etc globally and again the focus was more around interoperability security etc there the other aspect is about standards so Mansi did distinguish between standards and systems or blueprints as she mentioned but one very important document I would again refer to a World Bank only so of course she did mention about the DPI report but even more recent document which has just come up a couple of months back from World Bank is the World Standard Development Report on Standards okay so I mean we all you look at traffic lights you look at traffic lights and you look at the traffic lights and you look at the traffic lights okay the three red amber green And this traffic light, the current traffic light standard came up only in 1968.

It’s not very old, okay? But it did happen. And this has become globally acceptable. But the way the design is, yes, you can put it vertical, you can put it horizontal, and there are other variations. So this is what it is doing there. So I think the way India is doing this is something that we are doing a lot of enablement across the global south. In fact, I just published a policy brief called Global South’s AI Pivot by CG of Canada just last Friday. Again, it talks about three things, equity, ethics, and ecology. So India is not only talking about things like, okay, it should be reasonable, it should be responsible, it should be accessible, it should be inclusive, accessible, all of that.

But also looking at things from an efficiency perspective. Efficiency is not just financial efficiency. Here we are talking about resource efficiency. So how do we manage these things with minimum? footprint of material, of energy, water, things like that. So, and this again goes back to something like the Prime Minister keeps on talking about this life, which is lifestyle for environment. Now this whole philosophy of

Debashish Chakraborty

Thanks, Deepak. I’m conscious of time. Mansi, last one to you. You know, India’s approach to the DPI built on open, interoperable and scalable digital rails is increasingly influencing the global conversations. How do you see India’s DPI model shaping digital development strategies across emerging economies?

Mansi Kedia

Thank you. I’ll keep it really short. I think at the bank we started working on ID for development and G2P and fast payments even before this whole big DPI push happened in India and particularly that became more socialized through the G20 process. and many other actors came across foundations, think tanks, technology companies, and started to socialize the idea of DPI and the DPI approach to digital transformation. India, surely for the vast amount of experience and scale and heterogeneity that it has, offers excellent evidence on what works and what doesn’t work. And it’s really great that a lot of the people who were part of the foundation and building of the DPI have now gone ahead and tried to take this to other countries in a way that is adaptable to them.

And there are so many organizations, without taking names, lest I miss out on other important ones, I don’t want to take that chance, but there are several organizations who are doing a fabulous job of doing that. And the government itself, so whether actively or indirectly, they are also trying to talk to the world about how the DPI approach works. And more actively, you know, in UPI and NPCI, as Martin was mentioning, there’s active collaboration on making these fast -paced… and systems work in collaboration with BIS to see can we actually think of the Finternet, the idea of the Finternet that came up with BIS. So I don’t see this dying down. I think we have a lot of, like I said, evidence of the foundations as well as now sectoral applications.

So there are just particularly because this is GSMA session and mobile, I don’t want to forget mentioning this really important part about how the Department of Telecom has begun to think about utilizing mobile data while the telcos are thinking from credit perspective and fraud management. They’re also thinking of it very actively in terms of using it for planning and mobility, which I think is really fabulous. It’s not as if other countries haven’t done it, but the DPI approach that they are taking towards it to scale the access to data, to make models available, to provide compute, and build that whole stack is not something that has happened. And obviously it’s going to evolve. I don’t think it’s perfect.

feel the pressure of making it perfect at go but this learning experiences will surely inform how other countries can do it. Some of the things that we are trying to do it at population scale. Yes exactly.

Debashish Chakraborty

So I think if I can just have one question from the I can see three hands already how much time do we have? Do we have a question for two one question gentlemen please state your name and to whom do you want to address this question

Audience

Mike I am Vijay Agarwal and I am interested in AI by profession I am manufacturer of jewelry so what I wanted to propose was why don’t we have a product like a ring kind of product where the privacy data the KYC data resides on that physically only on that item which is on the body and then we can if it leaves the body it leaves in an encrypted form only and it can only be collated with another key for the purpose for which it has been consent has been given and there is a blockchain record to it.

Debashish Chakraborty

You mean in the form of a jewelry?

Audience

Yeah, so we have Adha ring for every Indian and it will store the KYC record, the medical record which could be accessed in case of emergency but there should, all these control layers that you are talking about could be in the form of cryptography. The concept of data embassies as part of the discussion on data sovereignty, so is there a good case for maybe India to offer data embassies? obviously it will be on a multilateral but any thoughts on that

Deepak Maheshwari

I would say yes if it is on reciprocal basis

Rahul Vatts

let me try and address the first part which you were trying to say I think today it’s not the problem of your data being insecure with Aadhaar I think it’s very secure right there are lot of things which Aadhaar does there is also the masking which they have started so the leakage of data or private data is really not the issue out here the data going out has got various other forms and factors particularly the way the government is taking the data from users it is the government which has to really start looking at for example telcos are required to share the subscriber data every month in physical copies why would you do that right so it is not really the digital aspect which is a problem it is really how you are managing the data is a problem and I think quantum work has already started sir I think Aadhaar itself is working on that on data embassies Vikram I think I completely endorse you know Deepak it cannot be just me right look around and have it and so let’s play it right but you cannot expect the world’s largest data creator and consumer to be the ones to start offering this first it is a two way street right for too long I think as a country we have been you know in a sphere where we are supposed to give and we are not supposed to take anything that has to change

Debashish Chakraborty

the organizer is already standing on my head just wanted to say one thing only mentioned in terms of government taking data so about 20 not now of course now IRCT doesn’t do it but till about 15 years back or so if you are creating an IRCTC ID for first time it used to ask even your marital status and there were apparently no benefits or disadvantages and it was a compulsory field by the way I would like to thank each of the speakers here to make it a very engaging conversation, thank you Mansi Rahul, Deepak, Matan for your time and to have this session, thank you very much audience thank you Thank you.

J

Julian Gorman

Speech speed

159 words per minute

Speech length

627 words

Speech time

235 seconds

Intelligent, programmable telecom networks

Explanation

Julian describes mobile networks as evolving from simple connectivity to intelligent, programmable layers that underpin AI services and edge optimisation, providing trusted infrastructure for digital identity and fraud prevention.


Evidence

“Today’s mobile networks are becoming intelligent, programmable and trusted layers of the national infrastructure.” [1]. “and they’re shaping how AI models perform and will perform and how services are optimised at the edge, how fraud is stopped before it happens and how digital identity remains secure in a world of growing complexity.” [5].


Major discussion point

Evolution of Telecom Networks into Intelligent, Trusted Infrastructure


Topics

Information and communication technologies for development | Building confidence and security in the use of ICTs | Artificial intelligence


Digital sovereignty as strategic control

Explanation

Julian argues that in an AI‑driven world sovereignty is no longer just about data location; it must include strategic control over the underlying infrastructure, standards and intelligence that power national digital systems.


Evidence

“In an AI -driven world, sovereignty is no longer just about where the data is stored, it’s about having strategic control over the infrastructure.” [49].


Major discussion point

Data Sovereignty in an AI‑Driven DPI Era


Topics

Data governance | Artificial intelligence | The enabling environment for digital development


India balances openness and sovereignty

Explanation

Julian highlights India’s unique position to demonstrate how an open, globally‑compatible digital public infrastructure can coexist with national strategic control, offering a model for other economies.


Evidence

“India is uniquely positioned to show how this balance can be achieved.” [140].


Major discussion point

India’s DPI Model as a Scalable Blueprint for the Global South


Topics

Information and communication technologies for development | Data governance | International cooperation


R

Rahul Vatts

Speech speed

179 words per minute

Speech length

2128 words

Speech time

712 seconds

Network as a layer of trust for transactions

Explanation

Rahul explains that the telecom layer underpins billions of financial transactions, providing OTPs, SMS and fraud‑prevention signals that users rely on for secure digital interactions.


Evidence

“It’s a layer of trust that people are trusting the message which they are trying to get on their system.” [8]. “What it is enabling is every transaction you do, there is a OTP or SMS which is coming out, right?” [17].


Major discussion point

Evolution of Telecom Networks into Intelligent, Trusted Infrastructure


Topics

Building confidence and security in the use of ICTs | The digital economy


India‑stack pilots in Africa

Explanation

Rahul describes how Airtel is exporting India’s digital public infrastructure (DPI) stack to African countries, providing hardware, software and cloud‑capped services to enable identity, payments and fraud mitigation.


Evidence

“we are operating in large countries … we have been doing wonderfully well in africa is to really take the digital public infrastructure blueprints from india and take them to africa … we are giving a bundle of hardware and a software … to be able to implement a digital public infrastructure stack in their countries.” [20].


Major discussion point

India’s DPI Model as a Scalable Blueprint for the Global South


Topics

Information and communication technologies for development | Social and economic development


Jurisdictional sovereignty and the US CLOUD Act

Explanation

Rahul points out that even when data resides locally, control‑plane and jurisdictional authority may be outside the country, citing the US CLOUD Act as a concrete example of external legal reach.


Evidence

“the fourth indicator for me and a very important one is the jurisdictional sovereignty right today under the US cloud act for example is it not true that if the US government so wants they can demand data” [48].


Major discussion point

Regulatory and Policy Frictions for AI‑Driven Networks


Topics

Data governance | The enabling environment for digital development | Human rights and the ethical dimensions of the information society


Robust infrastructure enabling GSMA alignment

Explanation

Rahul notes Airtel’s extensive network footprint and edge data‑centres, which provide the foundation for integrating GSMA OpenGateway APIs and delivering trusted services at scale.


Evidence

“We have got very robust infrastructure.” [23].


Major discussion point

Interoperability and Avoiding Parallel DPI Layers


Topics

Data governance | Building confidence and security in the use of ICTs


D

Debashish Chakraborty

Speech speed

127 words per minute

Speech length

1070 words

Speech time

503 seconds

Shift from passive carrier to citizen‑centric services

Explanation

Debashish emphasizes that networks have moved beyond voice transport to become trusted digital infrastructure that powers modern economies and citizen‑focused services such as fraud mitigation and digital identity.


Evidence

“So today’s network are no longer passive carriers of data.” [36]. “They have evolved a lot from just enabling voice to powering mobile broadband to becoming the trusted digital infrastructure that we use today underpinning the modern economies, right?” [21].


Major discussion point

Evolution of Telecom Networks into Intelligent, Trusted Infrastructure


Topics

Information and communication technologies for development | Building confidence and security in the use of ICTs


Avoiding duplicate trust layers via OpenGateway APIs

Explanation

Debashish raises the need to ensure that operator‑led capabilities complement, rather than duplicate, GSMA OpenGateway APIs, stressing collaboration to keep the ecosystem efficient.


Evidence

“How do we ensure that the efforts which the MNOs, the mobile network operators are making adding layers, how do we ensure that there is no that these complement and not duplicate the operator -led capabilities like Open Gateway APIs that GSMA has?” [69]. “By the way, your team is also working extensively with the GSM team on the GSM OpenGate APIs.” [70].


Major discussion point

Interoperability and Avoiding Parallel DPI Layers


Topics

Data governance | Internet governance


India’s open, royalty‑free DPI framework

Explanation

Debashish notes that India’s DPI approach is built on open, interoperable and royalty‑free digital rails, positioning it as a reference model for other nations seeking scalable, sovereign‑friendly solutions.


Evidence

“You know, India’s approach to the DPI built on open, interoperable and scalable digital rails is increasingly influencing the global conversations.” [129].


Major discussion point

India’s DPI Model as a Scalable Blueprint for the Global South


Topics

Information and communication technologies for development | Data governance


S

Speaker 1

Speech speed

159 words per minute

Speech length

1687 words

Speech time

633 seconds

Open APIs and contextual data enrichment

Explanation

Speaker 1 describes how telecom service providers (TSPs) expose open APIs that deliver rich contextual information, enabling banks and other institutions to make informed, real‑time decisions for fraud prevention and credit assessment.


Evidence

“Those are open APIs we are able to set up.” [11]. “One, context and enrichment.” [26]. “And this context is something that you can provide back to enrich the data.” [27]. “So as TSPs, we work in conjunction, put them in order, collaborate with the likes of COI and DOT to set up infrastructure as open APIs and then allow these APIs as interfaceable for institutions who would want to take decisions appropriately.” [30].


Major discussion point

Evolution of Telecom Networks into Intelligent, Trusted Infrastructure


Topics

Data governance | Building confidence and security in the use of ICTs


AI explainability and accountability gaps

Explanation

Speaker 1 points out that current telecom licences do not explicitly cover AI explainability, calling for playbooks, blueprints and regulatory guidance to ensure accountable AI deployments.


Evidence

“So if I narrate this in three or four broader perspective of looking at accountability and explainability, when we leverage AI, we would want the AI to explain.” [101]. “Now, imagine we have deployed scam solution which auto blocks things and we would want that AI to explain.” [105]. “It could be blueprint, it could be playbooks, it could be.” [112].


Major discussion point

Regulatory and Policy Frictions for AI‑Driven Networks


Topics

Artificial intelligence | The enabling environment for digital development


Digital Intelligence Platform for collaborative data sharing

Explanation

Speaker 1 introduces the Digital Intelligence Platform, a converged data‑exchange mechanism managed by the Department of Telecommunications that aggregates TSP data for financial institutions, reinforcing the role of TSPs in digital India.


Evidence

“There is something called as digital intelligence platform, which again, amongst all three collaborated TSP data, which is converged and provided by the DOT themselves to rest of the financial institutions to look into.” [76].


Major discussion point

Interoperability and Avoiding Parallel DPI Layers


Topics

Data governance | Financial mechanisms


D

Deepak Maheshwari

Speech speed

172 words per minute

Speech length

1833 words

Speech time

637 seconds

Sovereignty beyond physical residency

Explanation

Deepak expands the notion of data sovereignty to include citizen choice, contextual control and participation in global standard‑setting bodies, arguing that true sovereignty is multidimensional.


Evidence

“But there is other type of data for which citizens themselves may like to exercise their choice and may like to exercise their own agency in terms of using that data not only in India but also outside India.” [60]. “So, for example, whether it is GSMA or CGPP, ISO, ITU, IEEE, et cetera … they all have certain mechanisms of people and countries to participate in that decision making.” [63].


Major discussion point

Data Sovereignty in an AI‑Driven DPI Era


Topics

Data governance | Internet governance | Human rights and the ethical dimensions of the information society


Dynamic regulations and incentives for standards contribution

Explanation

Deepak calls for regulatory flexibility and incentives that encourage national players to contribute to, rather than merely control, international standards, fostering a collaborative innovation ecosystem.


Evidence

“So there should be some sort of incentives around that.” [125]. “So rather than controlling that standard, the effort should be, the endeavor should be about contributing to that standard making as a participant, as a contributor, and then evolve it.” [126].


Major discussion point

Regulatory and Policy Frictions for AI‑Driven Networks


Topics

The enabling environment for digital development | International cooperation


Reciprocal data‑embassy arrangements

Explanation

Deepak supports the concept of data embassies on a reciprocal basis, suggesting that countries could exchange sovereign data protections when needed.


Evidence

“I would say yes if it is on reciprocal basis” [166].


Major discussion point

Emerging Concepts of Personal Data Sovereignty


Topics

Data governance | Human rights and the ethical dimensions of the information society


India’s DPI model influencing the Global South

Explanation

Deepak remarks that India’s open DPI model is being adopted abroad, providing a template for emerging economies to build interoperable, sovereign‑friendly digital infrastructure.


Evidence

“You know, India’s approach to the DPI built on open, interoperable and scalable digital rails is increasingly influencing the global conversations.” [129]. “Now, when India is offering its DPI -led model, nothing of that sort is going.” [132].


Major discussion point

India’s DPI Model as a Scalable Blueprint for the Global South


Topics

Information and communication technologies for development | Data governance


M

Mansi Kedia

Speech speed

171 words per minute

Speech length

953 words

Speech time

334 seconds

Global standards and blueprints prevent siloed development

Explanation

Mansi stresses that without common standards or adaptable blueprints, public and private digital systems risk duplication, inefficiency and loss of innovation, undermining trusted ecosystems.


Evidence

“This is exactly where global standards matter.” [85]. “It need not necessarily become, I mean, I’m just trying to distinguish between standards and blueprints here, because standards then get into ideas of commercialization…” [86]. “the risk of building systems in silos … is essentially missing out on efficiency capabilities, innovation capabilities, and building trusted ecosystems…” [89].


Major discussion point

Interoperability and Avoiding Parallel DPI Layers


Topics

Data governance | Building confidence and security in the use of ICTs


World Bank sees India as evidence‑based blueprint source

Explanation

Mansi notes that the World Bank recognizes India’s scale and heterogeneity as strong evidence for what works, positioning India’s DPI experience as a basis for adaptable blueprints for other countries.


Evidence

“India, surely for the vast amount of experience and scale and heterogeneity that it has, offers excellent evidence on what works and what doesn’t work.” [141].


Major discussion point

India’s DPI Model as a Scalable Blueprint for the Global South


Topics

Information and communication technologies for development | Financial mechanisms


A

Audience

Speech speed

144 words per minute

Speech length

186 words

Speech time

77 seconds

Wearable ring for personal data sovereignty

Explanation

An audience member proposes a physical ring that stores encrypted KYC and medical data, with blockchain‑based consent, offering a portable, user‑controlled data‑embassy solution.


Evidence

“I am Vijay Agarwal … I wanted to propose … why don’t we have a product like a ring kind of product where the privacy data the KYC data resides on that physically only on that item which is on the body and then we can if it leaves the body it leaves in an encrypted form only and it can only be collated with another key for the purpose for which it has been consent has been given and there is a blockchain record to it.” [157].


Major discussion point

Emerging Concepts of Personal Data Sovereignty


Topics

Human rights and the ethical dimensions of the information society | Data governance


Support for reciprocal data‑embassy arrangements

Explanation

The audience also raises the idea of data embassies, prompting discussion on reciprocal agreements to protect citizen data abroad.


Evidence

“The concept of data embassies as part of the discussion on data sovereignty, so is there a good case for maybe India to offer data embassies?” [156].


Major discussion point

Emerging Concepts of Personal Data Sovereignty


Topics

Data governance | Human rights and the ethical dimensions of the information society


Agreements

Agreement points

Telecom networks have evolved from passive connectivity providers to intelligent, programmable platforms

Speakers

– Julian Gorman
– Debashish Chakraborty
– Rahul Vatts

Arguments

Networks have evolved from passive connectivity providers to intelligent, programmable platforms that support AI, fraud detection, and digital identity authentication


Telecom networks have evolved from passive voice carriers to intelligent platforms that underpin modern economies through AI deployment, digital identity authentication, and fraud mitigation


Telecom infrastructure serves as the foundation layer for India’s digital transactions, with over 1 million BTSs and 500 lakh kilometers of fiber enabling trust-based services like UPI


Summary

All speakers agree that telecom networks have fundamentally transformed from simple connectivity providers to intelligent, programmable infrastructure that actively supports AI, fraud prevention, and digital services


Topics

Information and communication technologies for development | The digital economy | Building confidence and security in the use of ICTs


Integration and collaboration are essential to avoid duplication and maximize efficiency

Speakers

– Debashish Chakraborty
– Mansi Kedia
– Speaker 1

Arguments

There is a need to ensure complementarity rather than duplication between operator-led capabilities and new DPI trust layers for authentication and fraud prevention


Systems operating in silos miss opportunities for efficiency, innovation, and building trusted ecosystems; integration is essential for economic benefits


TSPs provide context-driven information and enriched data to financial institutions for fraud prevention and decision-making, working collaboratively through platforms like FRI and digital intelligence systems


Summary

Speakers emphasize the importance of integrated systems and collaborative approaches to prevent duplication of efforts and maximize the benefits of digital infrastructure


Topics

Digital Public Infrastructure (DPI) Integration and Interoperability | Information and communication technologies for development | The digital economy


India’s DPI model offers valuable lessons and frameworks for global adoption

Speakers

– Deepak Maheshwari
– Mansi Kedia
– Rahul Vatts

Arguments

India’s DPI model offers open protocols and frameworks without intellectual property restrictions, enabling countries to adopt and modify solutions freely


India’s DPI experience provides valuable evidence for other countries, with the World Bank developing blueprints that are more flexible than rigid standards


Airtel has developed multiple spam and fraud prevention products, including real-time OTP warnings during calls to create friction against scams


Summary

All speakers acknowledge India’s leadership in DPI development and its potential for global replication, with emphasis on open, adaptable frameworks


Topics

Global DPI Model and International Collaboration | Information and communication technologies for development | The enabling environment for digital development


Data sovereignty requires nuanced approaches beyond simple data localization

Speakers

– Rahul Vatts
– Deepak Maheshwari

Arguments

True data sovereignty requires four elements: data residing in-country, digital sovereignty (control plane), operational sovereignty (local patches/upgrades), and jurisdictional sovereignty (freedom from foreign legal control)


Data localization involves physical location, local context, and sovereignty; countries should contribute to global standards rather than trying to control them entirely


Summary

Both speakers agree that data sovereignty is more complex than just physical data location and requires comprehensive control mechanisms and collaborative approaches to standards


Topics

Data Sovereignty and Control | Data governance | The enabling environment for digital development


Similar viewpoints

Both telecom operators emphasize their active role in fraud prevention and security, moving beyond traditional connectivity to provide intelligent services that protect users and enable trusted digital transactions

Speakers

– Rahul Vatts
– Speaker 1

Arguments

Airtel has developed multiple spam and fraud prevention products, including real-time OTP warnings during calls to create friction against scams


TSPs provide context-driven information and enriched data to financial institutions for fraud prevention and decision-making, working collaboratively through platforms like FRI and digital intelligence systems


Topics

Trust and Security in Digital Ecosystems | Building confidence and security in the use of ICTs | The digital economy


Both speakers advocate for flexible, open approaches to digital infrastructure development that allow countries to adapt solutions to their specific contexts rather than rigid, prescriptive standards

Speakers

– Deepak Maheshwari
– Mansi Kedia

Arguments

India’s DPI model offers open protocols and frameworks without intellectual property restrictions, enabling countries to adopt and modify solutions freely


India’s DPI experience provides valuable evidence for other countries, with the World Bank developing blueprints that are more flexible than rigid standards


Topics

Global DPI Model and International Collaboration | Information and communication technologies for development | The enabling environment for digital development


Both speakers recognize the complexity of implementing responsible AI systems, acknowledging that different contexts may require different approaches to balance transparency, security, and ethical considerations

Speakers

– Speaker 1
– Deepak Maheshwari

Arguments

AI-driven networks require frameworks for accountability and explainability, but security considerations may conflict with explainability requirements in fraud prevention


India’s approach emphasizes responsible and reasonable AI that considers equity, ethics, and ecological efficiency in resource usage


Topics

AI Integration and Regulatory Challenges | Artificial intelligence | Human rights and the ethical dimensions of the information society


Unexpected consensus

Selective approach to data sovereignty rather than blanket localization

Speakers

– Rahul Vatts
– Deepak Maheshwari

Arguments

Data sovereignty should be selective – critical data like defense, health records, and KYC should remain under national control while allowing efficiency gains from global hyperscalers for other data


Data localization involves physical location, local context, and sovereignty; countries should contribute to global standards rather than trying to control them entirely


Explanation

It’s unexpected that both a telecom industry representative and a policy expert would agree on a nuanced, selective approach to data sovereignty rather than advocating for complete data localization, showing pragmatic recognition of the need to balance sovereignty with global efficiency


Topics

Data Sovereignty and Control | Data governance | The enabling environment for digital development


Need for reciprocal international arrangements

Speakers

– Rahul Vatts
– Deepak Maheshwari

Arguments

Data embassies and international collaboration should be reciprocal arrangements, with India not expected to give without receiving equivalent benefits


Data localization involves physical location, local context, and sovereignty; countries should contribute to global standards rather than trying to control them entirely


Explanation

The consensus on reciprocity in international digital arrangements is unexpected as it shows both speakers moving away from traditional aid-recipient mentality to asserting India’s position as an equal partner in global digital governance


Topics

Global DPI Model and International Collaboration | Data governance | Internet governance


Overall assessment

Summary

The speakers demonstrated strong consensus on the evolution of telecom networks into intelligent platforms, the importance of integrated rather than siloed approaches to digital infrastructure, India’s leadership role in DPI development, and the need for nuanced approaches to data sovereignty. There was also agreement on the value of collaboration and reciprocity in international digital arrangements.


Consensus level

High level of consensus with speakers from different sectors (telecom operators, policy experts, international organizations) aligning on key principles. This suggests a mature understanding of digital infrastructure challenges and opportunities, with implications for coordinated policy development and implementation strategies that balance national sovereignty with global interoperability.


Differences

Different viewpoints

Approach to global standards development

Speakers

– Deepak Maheshwari
– Rahul Vatts

Arguments

Countries should contribute to global standards rather than trying to control them entirely


Data embassies and international collaboration should be reciprocal arrangements, with India not expected to give without receiving equivalent benefits


Summary

Deepak advocates for collaborative participation in international standards organizations, while Rahul emphasizes that India should not be expected to give without receiving equivalent benefits in international arrangements


Topics

The enabling environment for digital development | Internet governance


Definition and implementation of data sovereignty

Speakers

– Rahul Vatts
– Deepak Maheshwari

Arguments

True data sovereignty requires four elements: data residing in-country, digital sovereignty (control plane), operational sovereignty (local patches/upgrades), and jurisdictional sovereignty (freedom from foreign legal control)


Data localization involves physical location, local context, and sovereignty; countries should contribute to global standards rather than trying to control them entirely


Summary

Rahul provides a strict four-layer definition of data sovereignty emphasizing control, while Deepak takes a more collaborative approach that balances sovereignty with international cooperation


Topics

Data governance | Building confidence and security in the use of ICTs


Standards versus blueprints for DPI development

Speakers

– Mansi Kedia
– Speaker 1

Arguments

India’s DPI experience provides valuable evidence for other countries, with the World Bank developing blueprints that are more flexible than rigid standards


AI-driven networks require frameworks for accountability and explainability, but security considerations may conflict with explainability requirements in fraud prevention


Summary

Mansi advocates for flexible blueprints over prescriptive standards, while Speaker 1 emphasizes the need for standards but acknowledges they cannot be universally applicable in all contexts


Topics

The enabling environment for digital development | Artificial intelligence


Unexpected differences

AI explainability versus security requirements

Speakers

– Speaker 1

Arguments

AI-driven networks require frameworks for accountability and explainability, but security considerations may conflict with explainability requirements in fraud prevention


Explanation

An unexpected internal tension where the same speaker acknowledges that standard AI governance principles (explainability) may conflict with security effectiveness in fraud prevention, creating a regulatory dilemma


Topics

Artificial intelligence | Building confidence and security in the use of ICTs


Source of data security problems

Speakers

– Rahul Vatts
– Audience

Arguments

Current data security issues stem more from data management practices than digital infrastructure vulnerabilities


Physical storage solutions like jewelry-based data storage could enhance privacy through cryptographic controls and blockchain records


Explanation

Unexpected disagreement on the root cause of data security issues – Rahul argues the problem is in data management practices while the audience member suggests the solution lies in new physical storage technologies


Topics

Building confidence and security in the use of ICTs | Data governance


Overall assessment

Summary

The discussion revealed moderate disagreements primarily around approaches to data sovereignty, international collaboration, and technical implementation strategies, while showing strong consensus on the importance of DPI integration and the evolution of telecom networks


Disagreement level

Moderate disagreement with constructive tensions that reflect different perspectives on balancing national sovereignty with international cooperation, and technical versus policy approaches to digital infrastructure development. These disagreements are productive and highlight the complexity of implementing DPI at scale while maintaining security and sovereignty.


Partial agreements

Partial agreements

Both agree that not all data needs the same level of sovereignty protection, but disagree on the approach – Rahul advocates for selective national control while Deepak emphasizes collaborative international participation

Speakers

– Rahul Vatts
– Deepak Maheshwari

Arguments

Data sovereignty should be selective – critical data like defense, health records, and KYC should remain under national control while allowing efficiency gains from global hyperscalers for other data


Data localization involves physical location, local context, and sovereignty; countries should contribute to global standards rather than trying to control them entirely


Topics

Data governance | The enabling environment for digital development


Both agree on the importance of system integration and collaboration, but differ on implementation approach – Mansi focuses on avoiding silos through blueprints while Speaker 1 emphasizes collaborative platforms and standards

Speakers

– Mansi Kedia
– Speaker 1

Arguments

Systems operating in silos miss opportunities for efficiency, innovation, and building trusted ecosystems; integration is essential for economic benefits


TSPs provide context-driven information and enriched data to financial institutions for fraud prevention and decision-making, working collaboratively through platforms like FRI and digital intelligence systems


Topics

Digital Public Infrastructure (DPI) Integration and Interoperability | The digital economy


Similar viewpoints

Both telecom operators emphasize their active role in fraud prevention and security, moving beyond traditional connectivity to provide intelligent services that protect users and enable trusted digital transactions

Speakers

– Rahul Vatts
– Speaker 1

Arguments

Airtel has developed multiple spam and fraud prevention products, including real-time OTP warnings during calls to create friction against scams


TSPs provide context-driven information and enriched data to financial institutions for fraud prevention and decision-making, working collaboratively through platforms like FRI and digital intelligence systems


Topics

Trust and Security in Digital Ecosystems | Building confidence and security in the use of ICTs | The digital economy


Both speakers advocate for flexible, open approaches to digital infrastructure development that allow countries to adapt solutions to their specific contexts rather than rigid, prescriptive standards

Speakers

– Deepak Maheshwari
– Mansi Kedia

Arguments

India’s DPI model offers open protocols and frameworks without intellectual property restrictions, enabling countries to adopt and modify solutions freely


India’s DPI experience provides valuable evidence for other countries, with the World Bank developing blueprints that are more flexible than rigid standards


Topics

Global DPI Model and International Collaboration | Information and communication technologies for development | The enabling environment for digital development


Both speakers recognize the complexity of implementing responsible AI systems, acknowledging that different contexts may require different approaches to balance transparency, security, and ethical considerations

Speakers

– Speaker 1
– Deepak Maheshwari

Arguments

AI-driven networks require frameworks for accountability and explainability, but security considerations may conflict with explainability requirements in fraud prevention


India’s approach emphasizes responsible and reasonable AI that considers equity, ethics, and ecological efficiency in resource usage


Topics

AI Integration and Regulatory Challenges | Artificial intelligence | Human rights and the ethical dimensions of the information society


Takeaways

Key takeaways

Telecom networks have evolved from passive connectivity providers to intelligent, programmable platforms that serve as the foundation for India’s digital public infrastructure, enabling trust-based services like UPI transactions worth 28 lakh crores rupees monthly


True data sovereignty requires four critical elements: data residing in-country, digital sovereignty (control plane), operational sovereignty (local patches/upgrades), and jurisdictional sovereignty (freedom from foreign legal control)


India’s DPI model offers a unique global advantage by providing open protocols and frameworks without intellectual property restrictions or monetization models, enabling countries to adopt and modify solutions freely


Integration between public and private digital capabilities is essential to avoid inefficiencies and missed innovation opportunities – systems operating in silos fail to capture benefits of efficiency, trust-building, and collaborative innovation


AI integration in telecom networks requires evolved regulatory frameworks that balance accountability and explainability with security considerations, particularly in fraud prevention where explainability could enable scammers


Selective data sovereignty approach is recommended – critical data like defense, health records, and KYC should remain under national control while leveraging global hyperscalers for efficiency gains on non-sensitive data


Resolutions and action items

Telcos should continue developing sovereign cloud offerings for critical data while utilizing hyperscaler efficiencies for non-sensitive applications


Industry needs to work with regulators to develop frameworks for AI accountability and explainability that consider security implications


TSPs should collaborate through platforms like FRI and digital intelligence systems to provide context-driven information for fraud prevention


India should continue offering DPI solutions globally through diplomatic frameworks and capacity building initiatives


Standards organizations and regulators need to develop blueprints and playbooks for AI-driven network operations that are adaptable across different contexts


Unresolved issues

How to balance AI explainability requirements with security needs in fraud prevention systems – explaining why calls are blocked could help scammers refine their methods


Regulatory clarity needed on whether TSPs expanding into data intermediary roles should fall under digital intermediary laws in addition to telecom licensing


The challenge of creating reciprocal international data collaboration arrangements, particularly regarding data embassies


How to ensure global standards contribute to rather than control national digital sovereignty objectives


Managing the evolution of TSP roles beyond traditional licensing frameworks as they become data and AI service providers


Suggested compromises

Selective approach to data sovereignty – maintain national control over critical data (defense, health, KYC) while allowing global collaboration for efficiency gains on non-sensitive data


Contribute to global standards development rather than attempting to control standards entirely, ensuring participation in decision-making processes


Reciprocal basis for international data collaboration initiatives like data embassies – India should not be expected to give without receiving equivalent benefits


Flexible blueprint approach rather than rigid standards for AI and DPI implementation, allowing countries to adapt solutions to their specific contexts while maintaining interoperability


Balance between innovation enablement and regulatory compliance by allowing TSPs to make appropriate choices while regulations evolve


Thought provoking comments

I think one of the biggest misconceptions we all have today is, you know, what exactly is sovereignty? And a lot of people confuse to say that any hyperscale account, if it is housed in India, for example, or that country becomes a sovereign, you know, infrastructure. I think nothing can be away from growth than that statement… I will at least take three or four slices… first slice for me will be is the data residing in the country… second indicator for me will be is there a digital sovereignty… is the control plane of that cloud within India or not… third indicator… will be really about the operational sovereignty… fourth indicator… is the jurisdictional sovereignty

Speaker

Rahul Vatts


Reason

This comment fundamentally reframes the entire discussion by deconstructing the commonly misunderstood concept of data sovereignty into four distinct, measurable dimensions. It challenges the superficial understanding that physical data location equals sovereignty and introduces a sophisticated framework for evaluation.


Impact

This comment shifted the discussion from abstract policy concepts to concrete technical and operational realities. It provided a structured lens through which other participants could examine sovereignty claims and influenced subsequent discussions about practical implementation challenges.


I would like to control the standards so much as contribute to those standards… rather than controlling that standard, the effort should be, the endeavor should be about contributing to that standard making as a participant, as a contributor, and then evolve it… sovereignty by itself in a globalized world has a challenge because the moment we talk about any international organization… if we want to work there, we’ll have to give up something to get something

Speaker

Deepak Maheshwari


Reason

This insight challenges the zero-sum mentality often associated with sovereignty discussions and introduces the concept of collaborative sovereignty. It reframes sovereignty from isolation to strategic participation in global systems.


Impact

This comment introduced nuance to the sovereignty debate and influenced the conversation toward finding balance between national interests and global collaboration. It helped move the discussion away from protectionist thinking toward strategic engagement.


Context and enrichment… fraud is not happening to me as TSP. For me, if there is a call that is connected between person A and a person B, it’s revenue to me. But for a bank, while in call, something else is going, that is a context. And this context is something that you can provide back to enrich the data

Speaker

Martin (Speaker 1)


Reason

This comment provides a profound insight into how the same data can have completely different meanings and values depending on the user’s perspective and purpose. It illustrates the complexity of data contextualization in DPI systems.


Impact

This shifted the conversation from viewing data as static assets to understanding data as dynamic, context-dependent resources. It influenced discussions about how different stakeholders can collaborate while serving their distinct purposes.


India got its first submarine cable in the same year that the US got. And that was in 1858… India got its first law Vivek in 1854. The first Indian Telegraph Act came in 1854… it is not so new. It’s more than one and a half centuries old. Because the original telecom networks that came was in the telegraph era, and that was also in dots and dashes. So it was a binary world even at that time

Speaker

Deepak Maheshwari


Reason

This historical perspective is thought-provoking because it challenges the notion that digital infrastructure is entirely new, showing continuity in India’s digital journey and providing confidence that current challenges have historical precedents.


Impact

This comment provided historical grounding to the discussion and helped participants understand that India’s current DPI leadership has deep historical roots. It added credibility to India’s position as a global DPI leader.


The risk of building systems in silos, whether it is the public sector or the private sector, is essentially missing out on efficiency capabilities, innovation capabilities, and building trusted ecosystems… I think the World Bank is approaching it more from a blueprint point of view… the idea is to work more on the approach than on a particular way of running something

Speaker

Mansi Kedia


Reason

This comment introduces the important distinction between rigid standards and flexible blueprints, offering a middle path that allows for both consistency and adaptability across different contexts and countries.


Impact

This insight influenced the discussion toward more flexible, adaptive approaches to DPI implementation. It helped bridge the tension between standardization and customization that had been emerging in the conversation.


Most of us associate reasonable AI back to explain. Now, imagine we have deployed scam solution which auto blocks things and we would want that AI to explain. Why did I block you? If it were to be blocked, then what am I looking at? I’m actually advancing the ability of scamster to know why am I blocking him so that he refines himself to not get blocked

Speaker

Martin (Speaker 1)


Reason

This comment reveals a fundamental paradox in AI governance – the tension between transparency/explainability requirements and security effectiveness. It highlights how regulatory compliance can sometimes undermine the very objectives the regulations aim to achieve.


Impact

This comment introduced a critical complexity to the AI governance discussion, showing how well-intentioned regulatory requirements can have counterproductive effects. It influenced the conversation toward more nuanced approaches to AI regulation that consider context-specific needs.


Overall assessment

These key comments fundamentally elevated the discussion from surface-level policy rhetoric to deep, nuanced analysis of complex technical and governance challenges. Rahul’s sovereignty framework provided analytical rigor, while Deepak’s historical perspective and collaborative sovereignty concept added strategic depth. Martin’s insights about data contextualization and the explainability paradox introduced practical complexities that policymakers must navigate. Mansi’s blueprint approach offered a pragmatic middle path for international cooperation. Together, these comments transformed what could have been a typical policy discussion into a sophisticated exploration of the real challenges and opportunities in building AI-driven digital public infrastructure. The discussion evolved from abstract concepts to concrete frameworks, from national isolation to strategic global engagement, and from simple solutions to nuanced approaches that acknowledge inherent tensions and trade-offs.


Follow-up questions

How do we ensure that efforts by mobile network operators complement and not duplicate operator-led capabilities like Open Gateway APIs that GSMA has?

Speaker

Debashish Chakraborty


Explanation

This addresses the critical need to avoid parallel digital infrastructure and ensure coordination between public DPI initiatives and private telecom capabilities


How should India define data sovereignty in an AI-driven DPI era beyond just data localization and control?

Speaker

Debashish Chakraborty


Explanation

This explores the evolving concept of data sovereignty to include control over standards, decision-making systems, and long-term strategic autonomy


What are the biggest policy frictions emerging as networks become AI-driven platforms and how can these be met with data sovereignty without slowing innovation?

Speaker

Debashish Chakraborty


Explanation

This addresses regulatory challenges and the balance between maintaining sovereignty while fostering innovation in AI-driven networks


How can India leverage its DPI and telecom-led digital architecture to provide a credible, scalable model for the global south without technological isolation?

Speaker

Debashish Chakraborty


Explanation

This explores India’s role in global digital development and how to share DPI benefits while maintaining sovereignty


Why don’t we have a product like a ring where privacy data and KYC data resides physically only on that item with blockchain records?

Speaker

Vijay Agarwal (Audience)


Explanation

This suggests exploring hardware-based data sovereignty solutions for personal data protection


Is there a good case for India to offer data embassies as part of data sovereignty discussions?

Speaker

Audience member (unnamed)


Explanation

This explores the concept of data embassies as a multilateral approach to data sovereignty


How do we create frameworks for AI explainability while maintaining security, especially in spam/scam protection where explanation could help bad actors?

Speaker

Martin (Speaker 1)


Explanation

This addresses the tension between AI transparency requirements and security needs in telecom applications


How do we develop referenceable standards or blueprints for AI accountability and explainability that can be easily adapted across the industry?

Speaker

Martin (Speaker 1)


Explanation

This identifies the need for standardized frameworks that can guide AI implementation across different organizations


Should digital intermediary laws apply to telecom service providers when they use customer data for purposes beyond the original consent?

Speaker

Martin (Speaker 1)


Explanation

This raises important questions about regulatory frameworks as TSPs expand their role beyond traditional connectivity


How do we balance the need for hyperscaler cloud efficiencies with the requirement for true data sovereignty in critical sectors?

Speaker

Rahul Vatts


Explanation

This addresses the practical challenges of achieving genuine data sovereignty while leveraging global cloud capabilities


Disclaimer: This is not an official session record. DiploAI generates these resources from audiovisual recordings, and they are presented as-is, including potential errors. Due to logistical challenges, such as discrepancies in audio/video or transcripts, names may be misspelled. We strive for accuracy to the best of our ability.