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 glanceSummary, keypoints, and speakers overview

Summary

The panel examined how AI, telecom networks and data sovereignty intersect within national digital public infrastructure, emphasizing the convergence of these domains as a strategic priority [1][5-9][12-14]. Julian noted that India’s long-standing digital public infrastructure-from identity to payments-demonstrates the impact of scale, innovation and public purpose, positioning the country as a pivotal player in this space [11][15-17].


Speakers described the evolution of networks from simple connectivity to intelligent platforms that embed AI for fraud detection, digital identity verification and real-time decision making [39-41][64-66][69-71]. Rahul illustrated how Airtel’s massive BTS and fiber footprint underpins billions of UPI transactions and OTP-based services, creating a trust layer for payments and lending [51-58][61-68]. He also highlighted the rollout of sovereign-cloud capabilities that keep data and control planes within India, addressing concerns about foreign jurisdiction [235-244][247-255].


Several participants warned that parallel digital infrastructures risk fragmentation and urged open APIs, harmonised standards and blueprints to ensure interoperability and efficiency [22-25][204-209][220-224][226-230]. Deepak explained that data sovereignty must extend beyond physical localisation to include control over standards, decision-making and long-term strategy, and that collaborative contribution to international standards is essential [155-164][170-176][178-180]. Martin raised regulatory frictions as networks become AI-driven, and the panel responded that accountability, explainability and adaptable frameworks are needed to guide AI deployment [276-278][280-286][288-294].


Deepak argued that India’s open, protocol-based DPI model, free of restrictive licensing, can be adopted by other countries without costly IP constraints [318-327][330-336]. He added that diplomatic and research institutions are helping export this model, emphasizing equity, ethics and ecological efficiency [339-347]. Mansi echoed that the World Bank’s DPI blueprint, built on India’s experience, provides a flexible reference for emerging economies and encourages mobile-data-driven services such as credit scoring and planning [353-360][363-366].


The discussion concluded that coordinated standards, open interoperable infrastructure and responsible AI integration are critical for scaling trusted digital public services worldwide, with India positioned as a leading exemplar [23-25][312-314][364-368].


Keypoints

Major discussion points


Telecom networks are evolving into intelligent, AI-enabled infrastructure.


The panel stressed that networks are no longer passive data pipes but programmable layers that embed AI for real-time decision-making, identity verification, fraud prevention and emergency services. Julian described this shift to “intelligent, programmable and trusted layers” and how they now shape AI model performance and edge optimisation [14-18]; Rahul illustrated concrete services such as OTP delivery and Aadhaar-enabled payments operating in sub-2 ms [55-62]; Speaker 1 added that contextual enrichment of network data now feeds directly into banking and authentication decisions [102-108].


Digital sovereignty goes beyond data localisation.


Sovereignty was framed as strategic control over standards, AI models and the governance of the infrastructure, not merely where data is stored. Julian linked AI-driven DPI to “strategic control over the infrastructure” [19-22]; Deepak expanded the concept to include physical, administrative and citizen-choice dimensions, warning against “walls” that block two-way data flows [140-150][155-166]; Rahul highlighted practical sovereignty slices – data residency, control-plane location, operational control and jurisdictional exposure (e.g., US CLOUD Act) [235-244].


Avoiding fragmentation through global standards, open APIs and collaborative blueprints.


The speakers warned that siloed public-digital-infrastructure and private solutions create duplication and trust gaps. Julian called for “interoperability, open APIs, harmonised frameworks” to prevent fragmentation [23-25]; Martin’s question raised the risk of parallel DPI layers and the need for GSMA OpenGateway APIs [76-78]; Speaker 1 described how TSPs expose open APIs for fraud, lending and digital-identity services [119-126]; Mansi distinguished “standards” (prescriptive) from “blueprints” (flexible, best-practice guides) and advocated their use to accelerate inclusive outcomes [219-226].


Indian use-cases demonstrate scale and citizen-centric impact.


Rahul cited the UPI ecosystem processing 28 lakh crore rupees in a single month, Aadhaar-linked OTPs delivered in <2 ms, and Airtel’s suite of AI-driven spam/fraud blockers that embed trust into everyday transactions [51-62][65-70]; later he explained Airtel’s sovereign-cloud offering, emphasizing local data residency, control-plane ownership and the need to be selective about which data stays within the jurisdiction [235-250].


India’s DPI model as a blueprint for the Global South.


The discussion turned to exporting India’s open, interoperable DPI architecture to other emerging economies. Deepak highlighted the open-protocol, royalty-free nature of the Indian model and the diplomatic/soft-power mechanisms that support its diffusion [318-327][330-338]; Mansi reinforced that the World Bank’s “digital public infrastructure” reports and blue-print approach are already shaping policies in other countries, and that mobile-data-driven credit, fraud-management and planning use-cases are being replicated abroad [353-368].


Overall purpose / goal of the discussion


The session aimed to move from high-level ideas about AI-enabled telecom, digital sovereignty and standards to concrete next steps: identifying practical actions, fostering collaboration among regulators, operators and multilateral bodies, and leveraging India’s DPI experience to guide other economies at various stages of digital development [28-31].


Overall tone and its evolution


– The conversation began with a formal, optimistic opening (Julian’s keynote) that celebrated India’s achievements and set a collaborative agenda.


– As the panel progressed, the tone became more technical and diagnostic, with speakers detailing specific network capabilities, regulatory nuances, and the risks of fragmented architectures.


– Toward the end, the tone shifted to constructive and forward-looking, emphasizing global cooperation, open-source blueprints, and the potential for India’s model to empower the Global South. Throughout, the atmosphere remained collegial and solution-oriented, with occasional brief interjections from the audience.


Speakers

Julian Gorman – Role/Title: Head of APAC, GSMA; Representative from GSMA.


Area of expertise: Telecom industry, AI, digital public infrastructure. [S1][S2]


Rahul Vatts – Role/Title: Chief Regulatory Officer, Airtel.


Area of expertise: Telecom regulation, digital payments, AI, data sovereignty. [S3][S4]


Deepak Maheshwari – Role/Title: Representative, Center for Social and Economic Progress (CSCP).


Area of expertise: Digital sovereignty, data localization, policy frameworks. [S5][S6]


Speaker 1 – Role/Title: Unspecified (panelist discussing TSPs and DPI infrastructure).


Area of expertise: Telecom service providers, digital public infrastructure, open APIs. [S7][S8][S9]


Debashish Chakraborty – Role/Title: Moderator, GSMA.


Area of expertise: Telecom, AI, digital public infrastructure. [S10][S11]


Audience – Role/Title: Audience members (including professionals, academics).


Area of expertise: Varied (e.g., public administration, cybersecurity). [S12][S13][S14]


Mansi Kedia – Role/Title: Representative, World Bank.


Area of expertise: Development finance, digital public infrastructure, standards and blueprints. [S15][S16]


Additional speakers:


Martin – Role/Title: Representative, Vodafone Idea.


Area of expertise: Telecom regulation, AI-driven network platforms.


Matan – Role/Title: Unspecified participant referenced in the discussion.


Area of expertise: Contextual data, digital infrastructure.


Ambika – Role/Title: Unspecified (mentioned as intended recipient of a question).


Area of expertise: Not specified.


Vijay Agarwal – Role/Title: Audience member, jewelry manufacturer, AI enthusiast.


Area of expertise: Jewelry manufacturing, AI applications in IoT.


Full session reportComprehensive analysis and detailed insights

The session opened with Debashish Chakraborty linking the convergence of artificial intelligence, telecommunications and data sovereignty to the broader theme of Digital Public Infrastructure (DPI) [1]. Julian Gorman, head of APAC GSMA, then set the agenda by describing GSMA’s role in uniting the mobile economy and positioning the discussion at the intersection of intelligent telecom networks and national DPI [5-9]. He highlighted India’s pioneering journey-from early identity and payment systems to today’s expansive digital commerce and data-empowerment platforms-arguing that the country now sits at a pivotal point where AI, real-time data and autonomous systems reshape the function of telecom networks [11-14][15-17].


Julian further argued that modern mobile networks have moved beyond simple connectivity to become “intelligent, programmable and trusted layers” that directly influence AI model performance, edge optimisation, fraud prevention and the security of digital identities [14-18]. The moderator echoed this, noting that networks are no longer passive carriers of data but active platforms where AI is either an add-on or embedded, enabling real-time decision-making for citizen-centric services [39-41]. Martin (Vodafone Idea) reinforced the point, explaining that converged platforms such as the Fraud-Risk Indicator (FRI) and the Digital Intelligence Platform expose contextual data via open APIs, enabling multiple operators to collaborate without siloing [112-126].


Concrete illustrations of this evolution were provided by Rahul Vatts of Airtel. He quantified the scale of India’s DPI, noting that in January the UPI system processed 28 lakh crore rupees across a billion users, underpinned by more than a million base-transceiver stations, 500 lakh km of fibre and thousands of edge data centres [51-58][61-68]. He described the ubiquitous OTP and SMS messages-delivered in under two milliseconds-as a “layer of trust” that enables secure payments and Aadhaar-linked transactions [55-62]. Rahul also outlined Airtel’s suite of AI-driven spam and fraud-blocking products, which create friction for malicious calls and thereby reinforce ecosystem trust [65-70]. Building on these operational examples, Martin highlighted the need for common standards to govern AI-driven services, noting that digital-intermediary regulations and purpose-bound data-privacy laws now raise questions about the applicability of existing frameworks [280-286].


Rahul’s “four-slice” sovereignty framework-covering data residency, control-plane location, operational control and jurisdictional exposure such as the US CLOUD Act-was presented as a practical tool for assessing sovereignty [235-256]. He added that quantum-resistant techniques are already being explored for Aadhaar and that Airtel has launched a sovereign-cloud offering [247-255], and he claimed that Airtel Cloud can handle “around 140 crore transactions per second” [258-262].


The panel highlighted different emphases – Julian focused on strategic control of infrastructure, Rahul on technical slices of sovereignty, and Deepak on citizen agency and participation in standards bodies [19-20][235-256][157-176]. Deepak expanded the sovereignty discussion by distinguishing three layers: physical/administrative control for sensitive data, citizen-driven choice for personal data, and active participation in global standard-setting bodies, warning that “walls” blocking two-way data flows undermine both innovation and inclusion [157-176][140-150][155-166]. He also referenced India’s long-standing digital-infrastructure heritage, citing the 1858 submarine cable and the 1854 Telegraph Act [140-150], and mentioned the World Bank’s “World Standard Development Report on Standards” as a guiding document [318-327]. Deepak introduced the “EOSS” (Equity, Ethics, Ecology) framework, stressing minimal material, energy and water footprints for sustainable DPI [330-336].


Mansi Kedia (World Bank) reinforced the need for global standards and flexible blueprints, arguing that open, interoperable frameworks are essential to avoid fragmented parallel DPI layers and to capture efficiency, trust and innovation benefits [219-232][204-218]. She also noted ongoing collaboration with the Bank for International Settlements on a “Finternet” – a unified financial-infrastructure layer [353-360].


All participants agreed that open APIs, harmonised standards and collaborative blueprints constitute the three pillars needed to prevent duplication of effort and to scale trusted digital services. Julian highlighted that fragmentation-whether technical, regulatory or geopolitical-slows progress, while Martin emphasized that open APIs such as GSMA’s OpenGateway enable operators to share contextual data without creating silos [23-25][112-126][219-232].


Regulatory challenges for AI-enabled networks were examined. Martin pointed out that AI-driven services raise questions about the applicability of digital-intermediary law and that data-privacy regulations now require purpose-bound data collection [280-286]. Both speakers agreed that dynamic regulatory frameworks, co-created with regulators, are needed to address explainability, accountability and the evolving definition of digital intermediaries [279-294][285-289][294-301].


In response to these issues, several concrete actions were proposed. Debashish noted that many OpenGateway APIs have already been certified by GSMA and are being rolled out with operators [127-130], and he called for the development of referenceable AI-telecom playbooks to guide explainability and accountability [272-277]. Martin suggested that industry-wide standards or playbooks be co-created with regulators to cover AI-driven fraud-scam protection [279-294]. Deepak urged India to increase its participation in multistakeholder standard-setting bodies (GSMA, ITU, ISO) to shape global AI standards while preserving strategic autonomy [317-322]. Mansi recommended that the World Bank continue to disseminate DPI blueprints and facilitate South-South knowledge exchange, especially in mobile-data-driven services [353-360]. The audience’s “data-embassy” concept-a wearable ring for local storage of KYC and medical data-was noted as a potential research avenue for future secure personal-data storage solutions [371-374][375-381].


Debashish also recalled historic IRCTC data-collection practices that pre-date many modern DPI initiatives [371-374]. The session concluded with a reaffirmation of consensus: telecom networks are now intelligent, AI-enabled platforms that underpin DPI; digital sovereignty must encompass control over infrastructure, standards and AI models; and open, interoperable standards together with flexible blueprints are essential to avoid fragmented DPI layers and to foster trust, efficiency and innovation [28-31][23-25][312-314][364-368]. While the panel emphasized different aspects of sovereignty and the balance between prescriptive standards and adaptable blueprints, they agreed that coordinated multistakeholder action-through open APIs, sovereign-cloud designs and collaborative standard-setting-will be pivotal in scaling trusted digital services both within India and across the Global South [23-25][312-314][364-368].


Session transcriptComplete transcript of the session
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.

Related ResourcesKnowledge base sources related to the discussion topics (27)
Factual NotesClaims verified against the Diplo knowledge base (4)
Confirmedhigh

“GSMA is the global organisation uniting the mobile economy.”

The knowledge base states that GSMA is “the global organisation uniting the mobile economy” [S2].

Confirmedhigh

“India’s early identity (Aadhaar) and payment (UPI) systems provide a strong foundation for AI development and digital commerce.”

Jeetu Patel notes that Aadhaar and UPI form a strong foundation for AI development in India [S80].

Additional Contextmedium

“Digital Public Infrastructure (DPI) requires a governance framework that balances efficiency, equity, openness, security, and innovation.”

The knowledge base describes DPI as a driver of digital transformation that needs a governance framework balancing those very dimensions [S75].

Additional Contextmedium

“Modern mobile networks are evolving into intelligent, programmable, trusted layers that affect AI model performance, edge optimisation, fraud prevention and digital‑identity security.”

The “Trusted Connections_ Ethical AI in Telecom & 6G Networks” source discusses how telecom networks are becoming platforms for ethical AI and security, providing context for this claim [S81].

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AI Automation in Telecom_ Ensuring Accountability and Public Trust India AI Impact Summit 2026 — -Mr. Julian Gorman: Representative from GSMA, expert in telecom industry collaboration and anti-scam initiatives across …
S2
Building Indias Digital and Industrial Future with AI — -Julian Gorman- Head of APAC GSMA
S3
Building Indias Digital and Industrial Future with AI — – Deepak Maheshwari- Rahul Vatts – Rahul Vatts- Deepak Maheshwari
S4
Building Indias Digital and Industrial Future with AI — Agreed with:Debashish Chakraborty, Rahul Vatts — Telecom networks have evolved from passive connectivity providers to in…
S5
Building Indias Digital and Industrial Future with AI — By the way, your team is also working extensively with the GSM team on the GSM OpenGate APIs. Many of them have been eve…
S6
Building Indias Digital and Industrial Future with AI — By the way, your team is also working extensively with the GSM team on the GSM OpenGate APIs. Many of them have been eve…
S7
Keynote-Martin Schroeter — -Speaker 1: Role/Title: Not specified, Area of expertise: Not specified (appears to be an event moderator or host introd…
S8
Responsible AI for Children Safe Playful and Empowering Learning — -Speaker 1: Role/title not specified – appears to be a student or child participant in educational videos/demonstrations…
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Building Trusted AI at Scale Cities Startups &amp; Digital Sovereignty – Keynote Vijay Shekar Sharma Paytm — -Speaker 1: Role/Title: Not mentioned, Area of expertise: Not mentioned (appears to be an event host or moderator introd…
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Building Indias Digital and Industrial Future with AI — -Debashish Chakraborty- Moderator, represents GSMA
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Building Indias Digital and Industrial Future with AI — Agreed with:Debashish Chakraborty, Mansi Kedia — Integration and collaboration are essential to avoid duplication and ma…
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WS #280 the DNS Trust Horizon Safeguarding Digital Identity — – **Audience** – Individual from Senegal named Yuv (role/title not specified)
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Building the Workforce_ AI for Viksit Bharat 2047 — -Audience- Role/Title: Professor Charu from Indian Institute of Public Administration (one identified audience member), …
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Nri Collaborative Session Navigating Global Cyber Threats Via Local Practices — – **Audience** – Dr. Nazar (specific role/title not clearly mentioned)
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Building Indias Digital and Industrial Future with AI — -Mansi Kedia- Representative from World Bank
S16
Building Indias Digital and Industrial Future with AI — This GSMA panel discussion focused on the convergence of AI, telecommunications, and data sovereignty within India’s dig…
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AI as critical infrastructure for continuity in public services — Pramod argues that true data sovereignty goes beyond simply storing data locally. It requires having control over jurisd…
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Cloud computing and data localisation: Lessons on jurisdiction — Complex cross-border concerns require international co-operation to avoid undermining the Internet’s universality. Despi…
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Empowering People with Digital Public Infrastructure — Hoda Al Khzaimi: Great question, I think, Brendan. When we talk about DPI, it’s the intersectionality between what’s h…
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WS #83 the Relevance of Dpgs for Advancing Regional DPI Approaches — Desire Kachenje: So, I think one of the key things that a lot of us are hearing, and what we’re seeing in the continent,…
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Creating digital public infrastructure that empowers people | IGF 2023 Open Forum #168 — Countries around the world have made investments into digital public infrastructure (DPI) that supports vital society-wi…
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WS #257 Emerging Norms for Digital Public Infrastructure — AUDIENCE: Thanks, Milton. I agree very much with Anirudh. I think digital infrastructure, my understanding, what I thi…
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Shaping AI’s Story Trust Responsibility & Real-World Outcomes — Evidence:He describes a hierarchy of decision-making with super advanced agents at the top and more fine-grained agents …
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The digital economy in the age of AI: Implications for developing countries (UNCTAD) — The accountability mechanisms, transparency, rule of law, and explainability are crucial
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Telecommunications infrastructure — Network operators increasingly rely on AI for a wide range of tasks, fromnetwork planning(e.g. using algorithms to ident…
S26
High-level AI Standards panel — Need for Enhanced Collaboration Among Standards Organizations The UK government advocates for an open, inclusive, multi…
S27
What is it about AI that we need to regulate? — The question of achieving interoperability of data systems and data governance arrangements across different stakeholder…
S28
The State of Digital Fragmentation (Digital Policy Alert) — The analysis also focuses on the fragmentation that occurs between those who can engage and participate in the digital e…
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How to make AI governance fit for purpose? — – Jennifer Bachus- Anne Bouverot- Shan Zhongde- Gabriela Ramos – Jennifer Bachus- Shan Zhongde International Cooperati…
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The Future of Public Safety AI-Powered Citizen-Centric Policing in India — This example demonstrates that scale is achievable when solutions genuinely address user needs. The ‘meeting halfway’ co…
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Harnessing Collective AI for India’s Social and Economic Development — <strong>Moderator:</strong> sci -fi movies that we grew up watching and what it primarily also reminds me of is in speci…
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AI for agriculture Scaling Intelegence for food and climate resiliance — It is being designed as a replicable public infrastructure model for India and the entire global south. In partnership w…
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Building Indias Digital and Industrial Future with AI — Summary:Mansi advocates for flexible blueprints over prescriptive standards, while Speaker 1 emphasizes the need for sta…
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Building Indias Digital and Industrial Future with AI — India’s approach to digital public infrastructure has gained international recognition, with President Macron recently m…
S35
Creating digital public infrastructure that empowers people | IGF 2023 Open Forum #168 — Countries around the world have made investments into digital public infrastructure (DPI) that supports vital society-wi…
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20 Keywords for the Digital 2020s: A Digital Policy Prediction Dictionary — For instance, China has achieved an unusually high level of sovereignty with its legal requirement that Chinese citizens…
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Day 0 Event #257 Enhancing Data Governance in the Public Sector — Belli defines digital sovereignty as a nation’s ability to understand, develop, and regulate digital technologies to mai…
S38
Global Internet Governance Academic Network Annual Symposium | Part 3 | IGF 2023 Day 0 Event #112 — Adio Adet Dinika:All right. Wonderful. Thanks for that. So, quickly moving on to the Crimean postcolonial critique, basi…
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Trusted Connections_ Ethical AI in Telecom & 6G Networks — Evidence:In July 2023, TRI issued recommendations on leveraging artificial intelligence and big data in the telecommunic…
S40
AI-Driven Enforcement_ Better Governance through Effective Compliance &amp; Services — After having generated this path, it also sends out a series of routine legal requests that we require for most investig…
S41
Shaping AI’s Story Trust Responsibility & Real-World Outcomes — Evidence:He describes a hierarchy of decision-making with super advanced agents at the top and more fine-grained agents …
S42
Data embassies: Protecting nations in the cloud — The cases of Estonia and Monaco have shown that keeping data localised within a single facility or a specific geographic…
S43
WS #180 Protecting Internet data flows in trade policy initiatives — Jennifer Brody: Sure, my pleasure. And thank you so much for having me here today. It’s a real honor and a pleasure. …
S44
Comprehensive Summary: UN CSTD Working Group on Data Governance Progress Discussion — Renata Avila highlighted the broader political context, noting that “all the uncertainty around the existing governance …
S45
AI as critical infrastructure for continuity in public services — The discussion revealed that data sovereignty encompasses more than simple data localization. As Pramod noted, true sove…
S46
Supply Chain Fortification: Safeguarding the Cyber Resilience of the Global Supply Chain — Moreover, it is suggested that tech companies should focus on building sovereign versions of their technology and offeri…
S47
Building Indias Digital and Industrial Future with AI — Thank you, Julian. Thanks for the opening remarks. Am I audible? Looks like yes. So let’s begin. We have a fantastic pan…
S48
Building Indias Digital and Industrial Future with AI — Good morning, everyone. Warm welcome, distinguished guests, colleagues and partners and speakers who have joined us toda…
S49
AI as critical infrastructure for continuity in public services — Pramod argues that true data sovereignty goes beyond simply storing data locally. It requires having control over jurisd…
S50
What is it about AI that we need to regulate? — The question of achieving interoperability of data systems and data governance arrangements across different stakeholder…
S51
High-level AI Standards panel — Need for Enhanced Collaboration Among Standards Organizations The UK government advocates for an open, inclusive, multi…
S52
Internet Fragmentation: Perspectives &amp; Collaboration | IGF 2023 WS #405 — Efforts are ongoing to streamline internet governance legislation globally. The objective is to develop a cohesive frame…
S53
How to make AI governance fit for purpose? — – Jennifer Bachus- Shan Zhongde International Cooperation and Standards Legal and regulatory | Infrastructure Role of…
S54
The Future of Public Safety AI-Powered Citizen-Centric Policing in India — This example demonstrates that scale is achievable when solutions genuinely address user needs. The ‘meeting halfway’ co…
S55
Sovereign AI for India – Building Indigenous Capabilities for National and Global Impact — – Indian models beating global benchmarks on India-specific use cases, such as OCR for handwritten notes in Indian langu…
S56
Harnessing Collective AI for India’s Social and Economic Development — <strong>Moderator:</strong> sci -fi movies that we grew up watching and what it primarily also reminds me of is in speci…
S57
https://app.faicon.ai/ai-impact-summit-2026/keynote-nikesh-arora — India has already shown the world what is possible when innovation is paired with inclusion through digital public infra…
S58
Scaling Trusted AI_ How France and India Are Building Industrial & Innovation Bridges — Thank you. A very warm good morning to all of you, and thank you, Business France, for having me here. It’s a pleasure t…
S59
AI for agriculture Scaling Intelegence for food and climate resiliance — It is being designed as a replicable public infrastructure model for India and the entire global south. In partnership w…
S60
Keynote Address_Revanth Reddy_Chief Minister Telangana — Overall Tone:The tone was consistently ambitious, urgent, and nationalistic throughout. The speaker maintained an inspir…
S61
Building the Future STPI Global Partnerships &amp; Startup Felicitation 2026 — The tone was consistently optimistic, collaborative, and forward-looking throughout the session. It maintained a formal …
S62
Opening — The overall tone was formal yet optimistic. Speakers acknowledged the serious challenges posed by rapid technological ch…
S63
Summit Opening Session — The tone throughout is consistently formal, diplomatic, and collaborative. Speakers maintain an optimistic and forward-l…
S64
Keynote-Rishi Sunak — Overall Tone:The tone was consistently optimistic and inspirational throughout. Sunak maintained an enthusiastic, forwar…
S65
Policy Network on Internet Fragmentation (PNIF) — Dhruv emphasized that technical layer fragmentation poses the highest risk from their perspective, as it would have the …
S66
Critical Infrastructure in the Digital Age: From Deep Sea Cables to Orbital Satellites — The discussion maintained a balanced tone that was simultaneously informative and concerning. It began with an education…
S67
Panel 2 – Anticipating and Mitigating Risks Along the Global Subsea Network  — The discussion maintained a professional, collaborative tone throughout, with participants demonstrating technical exper…
S68
Can a layered policy approach stop Internet fragmentation? | IGF 2023 WS #273 — Another viewpoint suggests examining fragmentation in terms of time and driving factors. The speaker emphasizes the need…
S69
Designing Indias Digital Future AI at the Core 6G at the Edge — The discussion maintained an optimistic and forward-looking tone throughout, characterized by technical expertise and st…
S70
Fireside Chat The Future of AI & STEM Education in India — The discussion maintained an optimistic yet realistic tone throughout. It began with cautious acknowledgment of AI’s dis…
S71
Connecting the Unconnected in the field of Education Excellence, Cyber Security &amp; Rural Solutions and Women Empowerment in ICT — The discussion maintained a consistently positive and celebratory tone throughout, with speakers expressing pride in Ind…
S72
AI-Powered Chips and Skills Shaping Indias Next-Gen Workforce — The discussion maintained a consistently optimistic and collaborative tone throughout. Speakers expressed enthusiasm abo…
S73
WS #279 AI: Guardian for Critical Infrastructure in Developing World — The tone of the discussion was largely informative and collaborative. Speakers shared insights from their various backgr…
S74
Panel Discussion AI in Digital Public Infrastructure (DPI) India AI Impact Summit — 978 words | 155 words per minute | Duration: 377 secondss So I think, firstly, India’s journey in DPIs has been a fasci…
S75
WS #257 Data for Impact Equitable Sustainable DPI Data Governance — Digital Public Infrastructure (DPI) is a key driver of national digital transformation, fostering inclusive innovation a…
S76
Panel Discussion AI in Digital Public Infrastructure (DPI) India AI Impact Summit — And accessibility has to be also broadened in terms of multi -modality and also, where necessary, include a human in the…
S77
Building Trusted AI at Scale Cities Startups &amp; Digital Sovereignty – Keynote Hemant Taneja General Catalyst — Taneja argued that India is uniquely positioned to lead in AI deployment due to its status as the world’s strongest grow…
S78
https://dig.watch/event/india-ai-impact-summit-2026/secure-finance-risk-based-ai-policy-for-the-banking-sector — Now coming back to my address, proposed address, I’m coming back to this now. It’s indeed a privilege to participate in …
S79
Building Trusted AI at Scale Cities Startups & Digital Sovereignty – Keynote Hemant Taneja General Catalyst — The discussion featured Hemant Taneja, CEO of General Catalyst venture capital firm, speaking at an AI summit about resp…
S80
Building Trusted AI at Scale Cities Startups & Digital Sovereignty – Keynote Jeetu Patel President and Chief Product Officer Cisco Inc — Patel argues that India’s digital infrastructure, particularly the Aadhaar common identity system and UPI payment system…
S81
Trusted Connections_ Ethical AI in Telecom &amp; 6G Networks — Distinguished leaders from the technology companies, from telecom service providers and industry associations, represent…
S82
Scaling Trusted AI_ How France and India Are Building Industrial &amp; Innovation Bridges — And thank you. And maybe I will introduce a few of them. Agri -Co is transforming agriculture through digital tools that…
Speakers Analysis
Detailed breakdown of each speaker’s arguments and positions
J
Julian Gorman
2 arguments159 words per minute627 words235 seconds
Argument 1
Networks as intelligent, programmable, trusted layer essential for AI and public services (Julian Gorman)
EXPLANATION
Julian explains that mobile networks are no longer just connectivity providers; they have become intelligent, programmable, and trusted layers that enable AI models, edge services, fraud prevention, and secure digital identity. This shift positions networks as core components of national digital public infrastructure.
EVIDENCE
He states that “Today’s mobile networks are becoming intelligent, programmable and trusted layers of the national infrastructure and they’re shaping how AI models perform… and how fraud is stopped before it happens and how digital identity remains secure” [14]. He also notes that networks now support core DPI functions such as identity verification, payments, and emergency response [15].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The session transcript notes that today’s mobile networks are becoming intelligent, programmable and trusted layers of national infrastructure, shaping AI model performance, edge services, fraud prevention and digital identity security [S2][S4].
MAJOR DISCUSSION POINT
Evolution of telecom networks into AI‑enabled infrastructure
AGREED WITH
Debashish Chakraborty, Rahul Vatts, Speaker 1
Argument 2
Sovereignty extends beyond data localisation to strategic control of infrastructure, standards and AI models (Julian Gorman)
EXPLANATION
Julian argues that in an AI‑driven world, digital sovereignty is not just about where data is stored but also about controlling the underlying infrastructure, standards, and the intelligence that powers national systems. Countries need the ability to manage these elements to ensure safe, interoperable public infrastructure.
EVIDENCE
He says, “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” and that “the key to this is the ability to manage the infrastructure, the standards, and increasingly, the intelligence that underpins the national digital system” [19-20].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Discussion on data sovereignty highlights that it goes beyond localisation to include control over standards, decision-making systems and strategic autonomy, echoing the speaker’s point [S2][S4][S17].
MAJOR DISCUSSION POINT
Broadening the concept of digital sovereignty
AGREED WITH
Mansi Kedia, Speaker 1, Debashish Chakraborty
DISAGREED WITH
Rahul Vatts, Deepak Maheshwari
R
Rahul Vatts
3 arguments179 words per minute2128 words712 seconds
Argument 1
Airtel’s network as the trust foundation for UPI, OTP, fraud mitigation and large‑scale transactions (Rahul Vatts)
EXPLANATION
Rahul highlights that Airtel’s extensive connectivity infrastructure underpins India’s massive digital public services such as UPI, OTP‑based verification, and fraud‑prevention mechanisms, enabling billions of transactions with high trust.
EVIDENCE
He cites that “India transacted 28 lakh crores rupees of money through its UPI infrastructure in January alone, spread across a billion people” and that this rests on the “connectivity layer” with “more than a million BTSs” and “500 lakh kilometres of fiber” [51-55]. He also describes OTP/SMS as a trust layer [55-58] and Aadhaar-enabled payments processed in under 2 ms [59-62].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The panel describes the telecom trust layer that underpins India’s massive digital payments ecosystem, citing fraud-prevention products, OTP friction and billions of UPI transactions enabled by Airtel’s connectivity infrastructure [S2][S4].
MAJOR DISCUSSION POINT
Network as trust layer for digital payments
AGREED WITH
Julian Gorman, Debashish Chakraborty, Speaker 1
Argument 2
Sovereign cloud requires local data residency, control‑plane ownership, and protection from foreign jurisdiction (Rahul Vatts)
EXPLANATION
Rahul outlines four dimensions of true data sovereignty: physical residency of data, control‑plane ownership within the country, operational control over network upgrades, and protection from foreign legal reach such as the US CLOUD Act.
EVIDENCE
He lists the slices: data residing in the country, control-plane of the cloud being in India, operational sovereignty (where patches are applied), and jurisdictional sovereignty (exposure to foreign laws) [235-256]. He also mentions Airtel’s own sovereign cloud offering and its capacity to handle 140 crore transactions per second [262-267].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Vatts outlines four dimensions of true data sovereignty – physical residency, control-plane ownership, operational control and jurisdictional protection – and other experts stress the need for control over encryption keys and legal reach [S2][S17][S18].
MAJOR DISCUSSION POINT
Components of a sovereign cloud
AGREED WITH
Julian Gorman, Deepak Maheshwari, Mansi Kedia
Argument 3
Airtel’s export of DPI solutions to Africa demonstrates practical transfer of infrastructure, identity and payment services (Rahul Vatts)
EXPLANATION
Rahul describes how Airtel is replicating India’s digital public infrastructure blueprint in African markets, providing hardware, software, and cloud services to enable identity, payments, and other public services.
EVIDENCE
He explains that Airtel is “in conversation with a lot of African leaders to transplant the India stack onto the African ecosystem” by offering a bundle of hardware, software, and a “air-capped cloud” to build digital public infrastructure in those countries [64-70].
MAJOR DISCUSSION POINT
Exporting India’s DPI model
AGREED WITH
Deepak Maheshwari, Mansi Kedia, Julian Gorman
S
Speaker 1
3 arguments159 words per minute1687 words633 seconds
Argument 1
TSPs provide contextual data enrichment via open APIs, turning raw connectivity into decision‑making fabric (Speaker 1)
EXPLANATION
The speaker explains that Telecom Service Providers (TSPs) add value by enriching raw network data with context, making it usable for banks and other institutions to make real‑time decisions, and they expose this enriched data through open APIs.
EVIDENCE
He mentions four key words, including “context and enrichment” and describes how TSPs “provide a large amount of context-driven information” that can be consumed by banks for fraud detection and authentication [82-84][101-108]. He also notes the creation of open APIs such as FRI and the Digital Intelligence Platform that expose this enriched data to financial institutions [98-101][119-124].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The speaker explains that telecom service providers expose rich, context-driven information through open APIs (e.g., FRI, Digital Intelligence Platform) that banks use for real-time fraud detection and credit assessment [S2][S4].
MAJOR DISCUSSION POINT
Contextual enrichment by TSPs
AGREED WITH
Julian Gorman, Debashish Chakraborty, Rahul Vatts
Argument 2
Open APIs and collaborative TSP frameworks prevent parallel, fragmented DPI layers and ensure complementarity (Speaker 1)
EXPLANATION
The speaker argues that collaboration among a limited number of TSPs, using converged platforms and open APIs, avoids duplication of effort and ensures that new DPI layers complement existing operator‑led capabilities.
EVIDENCE
He describes how “all three of us, four of us are operated in converged platform” and that they work together with DOT to set up open APIs for institutions, preventing parallel DPI layers [112-119][120-126].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Panelists describe a converged platform where a limited set of TSPs work together with the DOT to set up open APIs, avoiding duplicated digital-public-infrastructure layers [S2][S4].
MAJOR DISCUSSION POINT
Avoiding duplication through open APIs
AGREED WITH
Julian Gorman, Mansi Kedia, Debashish Chakraborty
Argument 3
Need for explainability, accountability and referenceable standards/playbooks to govern AI decisions in telecom (Speaker 1)
EXPLANATION
The speaker stresses that AI‑driven telecom services must be explainable and accountable, requiring referenceable standards or playbooks that can be adapted by operators, and that regulators need to evolve to support these requirements.
EVIDENCE
He notes that “when we leverage AI, we would want the AI to explain” and calls for a “referenceable standard” or playbook to guide implementations [285-289]. He also discusses the need for frameworks covering explainability, accountability, and security, and that standards must be adaptable to individual enterprises [310-313].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The discussion flags a tension between AI explainability and security in fraud-prevention, calls for referenceable standards/playbooks, and cites broader AI governance concerns such as guardrails and accountability [S4][S23][S24].
MAJOR DISCUSSION POINT
Governance frameworks for AI in telecom
AGREED WITH
Debashish Chakraborty, Rahul Vatts
DISAGREED WITH
Mansi Kedia
D
Deepak Maheshwari
3 arguments172 words per minute1833 words637 seconds
Argument 1
Sovereignty must balance physical control, citizen agency, and participation in global standard‑setting (Deepak Maheshwari)
EXPLANATION
Deepak outlines three layers of data sovereignty: physical and administrative control for sensitive data, citizen‑driven choice over personal data usage, and active participation in global standard‑setting bodies to avoid a one‑way lock‑in.
EVIDENCE
He describes the three perspectives: (1) data that must stay within India for defence and finance [157-159]; (2) citizen data where individuals may wish to share data abroad, e.g., visa applications [160-163]; (3) business data where India is a global outsourcing hub but must balance inbound and outbound data flows, noting the need for participation in standards bodies like GSMA, ISO, ITU, IEEE [164-176].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The conversation expands sovereignty to three layers – physical/administrative control, citizen-driven data sharing choices, and active participation in global standards bodies – aligning with the multi-dimensional view discussed in the session [S2][S4][S17].
MAJOR DISCUSSION POINT
Multi‑dimensional view of data sovereignty
AGREED WITH
Julian Gorman, Rahul Vatts, Mansi Kedia
DISAGREED WITH
Julian Gorman, Rahul Vatts
Argument 2
India’s DPI model is open, royalty‑free and adaptable, enabling other nations to adopt without proprietary lock‑in (Deepak Maheshwari)
EXPLANATION
Deepak emphasizes that India’s Digital Public Infrastructure framework is based on open protocols and does not charge licensing fees, allowing other countries to adopt, adapt, and scale the model freely.
EVIDENCE
He states that “India’s DPI-led model… nothing of that sort is going… it’s a framework… an open protocol… India doesn’t ask for that type of thing” [318-327].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
The panel notes that India’s Digital Public Infrastructure is built on open protocols with no licensing fees, allowing other countries to replicate and adapt the model freely [S2][S4].
MAJOR DISCUSSION POINT
Open, non‑proprietary DPI model
AGREED WITH
Rahul Vatts, Mansi Kedia, Julian Gorman
Argument 3
India offers an open, non‑proprietary DPI framework supported by diplomatic channels, enabling replication in developing economies (Deepak Maheshwari)
EXPLANATION
Deepak points out that beyond the technical framework, India leverages diplomatic and research institutions to promote the DPI model globally, providing soft‑diplomacy and capacity‑building support to the Global South.
EVIDENCE
He mentions the involvement of the Ministry of External Affairs, Indian Council of World Affairs, and a policy brief “Global South’s AI Pivot” to promote the model, highlighting diplomatic enablement [330-340].
MAJOR DISCUSSION POINT
Diplomatic support for DPI diffusion
M
Mansi Kedia
2 arguments171 words per minute953 words334 seconds
Argument 1
Siloed public‑private systems miss efficiency, innovation and trust; global standards or flexible blueprints are essential (Mansi Kedia)
EXPLANATION
Mansi argues that when public and private digital systems are built in isolation, they create vulnerabilities, reduce efficiency, and stifle innovation; therefore, global standards or adaptable blueprints are needed to create trusted, efficient ecosystems.
EVIDENCE
She notes that “systems coming together help build trust… independent systems mean more points of vulnerability” and that silos miss “efficiency, innovation, and building trusted ecosystems” [204-218]. She also differentiates standards (prescriptive) from blueprints (flexible) and stresses the need for both [219-232].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Other participants stress that DPI must be integrated across sectors, with global standards or adaptable blueprints needed to avoid fragmented, vulnerable systems and to foster efficiency and innovation [S20][S21][S22].
MAJOR DISCUSSION POINT
Risks of siloed digital infrastructure
AGREED WITH
Julian Gorman, Speaker 1, Debashish Chakraborty
DISAGREED WITH
Speaker 1
Argument 2
World Bank views India’s DPI experience as a proven blueprint for emerging markets, informing digital development strategies (Mansi Kedia)
EXPLANATION
Mansi explains that the World Bank has documented India’s DPI as a benchmark, producing reports and blueprints that other countries can adapt, highlighting India’s scale and heterogeneity as evidence of what works.
EVIDENCE
She references the World Bank’s “digital public infrastructure and development report” that outlines principles, objectives, and definitions of DPI, and notes that the Bank uses blueprints to guide other nations [353-368].
MAJOR DISCUSSION POINT
India’s DPI as a global blueprint
AGREED WITH
Rahul Vatts, Deepak Maheshwari, Julian Gorman
D
Debashish Chakraborty
2 arguments127 words per minute1070 words503 seconds
Argument 1
Networks have shifted from passive carriers to active contributors to governance, resilience and trust (Debashish Chakraborty)
EXPLANATION
Debashish observes that telecom networks have evolved beyond voice and broadband to become intelligent platforms that support AI, digital identity, fraud mitigation, and sovereign data handling, thereby playing a governance role.
EVIDENCE
He states that “today’s network are no longer passive carriers of data. They are becoming intelligent platforms where AI is deployed… digital identity is authenticated, where fraud is mitigated, where sovereignty over data and decision-making is increasingly exercised” [39-41].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Speakers observe that modern networks are no longer passive data pipes but intelligent platforms supporting AI, digital identity, fraud mitigation and sovereign data handling, thereby playing a governance role [S2][S4].
MAJOR DISCUSSION POINT
Network evolution to governance role
AGREED WITH
Julian Gorman, Rahul Vatts, Speaker 1
Argument 2
Emerging policy frictions stem from expanding operator roles, data privacy mandates and the definition of digital intermediaries (Debashish Chakraborty)
EXPLANATION
Debashish raises concerns that new layers of digital public infrastructure risk duplication unless coordinated with existing operator capabilities, and that regulatory definitions around digital intermediaries and privacy are becoming friction points.
EVIDENCE
He asks how to ensure MNO-added layers complement rather than duplicate “Open Gateway APIs” and mentions “parallel digital infrastructure structures” as a concern [76-78]. Later he references regulatory challenges around digital intermediaries and data privacy [94-96].
EXTERNAL EVIDENCE (KNOWLEDGE BASE)
Debashish raises concerns about parallel digital-infrastructure layers, the need for coordination with existing operator capabilities, and regulatory challenges around digital intermediaries and privacy [S4][S2].
MAJOR DISCUSSION POINT
Policy frictions with AI‑enabled networks
AGREED WITH
Speaker 1, Rahul Vatts
A
Audience
1 argument144 words per minute186 words77 seconds
Argument 1
Proposal for “data‑embassy” wearable (KYC ring) that stores personal data locally with cryptographic safeguards (Audience)
EXPLANATION
An audience member suggests a wearable ring that would hold a person’s KYC and medical records securely on the device, using encryption and blockchain to ensure data is only accessible with consent and remains protected if the device leaves the body.
EVIDENCE
The participant describes an “Adha ring” that would store KYC and medical records, remain encrypted when removed, require a second key for access, and be recorded on a blockchain as a data embassy [371-374].
MAJOR DISCUSSION POINT
Wearable data‑embassy concept
DISAGREED WITH
Rahul Vatts, Deepak Maheshwari
Agreements
Agreement Points
Telecom networks have evolved into intelligent, programmable, trusted layers that enable AI-driven public services and digital trust
Speakers: Julian Gorman, Debashish Chakraborty, Rahul Vatts, Speaker 1
Networks as intelligent, programmable, trusted layer essential for AI and public services (Julian Gorman) Networks have shifted from passive carriers to active contributors to governance, resilience and trust (Debashish Chakraborty) Airtel’s network as the trust foundation for UPI, OTP, fraud mitigation and large‑scale transactions (Rahul Vatts) TSPs provide contextual data enrichment via open APIs, turning raw connectivity into decision‑making fabric (Speaker 1)
All speakers emphasize that modern telecom infrastructure is no longer a simple connectivity pipe but an intelligent platform that powers AI models, fraud prevention, digital identity and large-scale financial transactions, thereby becoming a core component of national digital public infrastructure [14-15][39-41][51-55][82-84][101-108].
POLICY CONTEXT (KNOWLEDGE BASE)
The evolution of programmable telecom networks for AI-driven public services is reflected in the TRI’s risk-based regulatory recommendations for AI in telecom, which stress trusted infrastructure and high-risk oversight [S39], and in analyses of telecom guardrails for critical services [S41].
Digital sovereignty must go beyond data localisation to include strategic control over infrastructure, standards and AI models
Speakers: Julian Gorman, Deepak Maheshwari, Rahul Vatts, Mansi Kedia
Sovereignty extends beyond data localisation to strategic control of infrastructure, standards and AI models (Julian Gorman) Sovereignty must balance physical control, citizen agency, and participation in global standard‑setting (Deepak Maheshwari) Sovereign cloud requires local data residency, control‑plane ownership, and protection from foreign jurisdiction (Rahul Vatts) Siloed public‑private systems miss efficiency, innovation and trust; global standards or flexible blueprints are essential (Mansi Kedia)
The panel agrees that true data sovereignty involves physical residency, control-plane ownership, operational autonomy and participation in global standard-setting, rather than merely where data is stored [19-20][157-176][235-256][219-232].
POLICY CONTEXT (KNOWLEDGE BASE)
Policy discussions emphasize that digital sovereignty extends beyond mere data localisation to strategic control of infrastructure, standards and AI models, as highlighted by the EU’s GAIA-X sovereign cloud initiative and broader sovereignty debates [S36], and by definitions that link sovereignty to regulatory and technical self-determination [S37], as well as calls for control over legal frameworks and encryption keys [S45].
India’s open, royalty‑free DPI model can be replicated globally without proprietary lock‑in
Speakers: Rahul Vatts, Deepak Maheshwari, Mansi Kedia, Julian Gorman
Airtel’s export of DPI solutions to Africa demonstrates practical transfer of infrastructure, identity and payment services (Rahul Vatts) India’s DPI model is open, royalty‑free and adaptable, enabling other nations to adopt without proprietary lock‑in (Deepak Maheshwari) World Bank views India’s DPI experience as a proven blueprint for emerging markets, informing digital development strategies (Mansi Kedia) Global standards matter to ensure interoperable, safe AI‑enabled public infrastructure (Julian Gorman)
All agree that India’s DPI framework, built on open protocols and without licensing fees, provides a scalable blueprint that can be exported to other regions, supported by standards and multilateral guidance [64-70][318-327][353-368][22-24].
POLICY CONTEXT (KNOWLEDGE BASE)
India’s open, royalty-free digital public infrastructure (DPI) model has been cited internationally as a benchmark, with President Macron noting DPI as India’s biggest export and the World Bank highlighting its replicability without proprietary lock-in [S34], while broader analyses of global DPI investments underscore its relevance [S35].
Open APIs, standards and collaborative frameworks are essential to avoid fragmented parallel DPI layers
Speakers: Julian Gorman, Mansi Kedia, Speaker 1, Debashish Chakraborty
Sovereignty extends beyond data localisation to strategic control of infrastructure, standards and AI models (Julian Gorman) Siloed public‑private systems miss efficiency, innovation and trust; global standards or flexible blueprints are essential (Mansi Kedia) Open APIs and collaborative TSP frameworks prevent parallel, fragmented DPI layers and ensure complementarity (Speaker 1) Emerging policy frictions stem from parallel digital infrastructure structures and need coordination with Open Gateway APIs (Debashish Chakraborty)
Consensus that interoperable standards, open APIs and coordinated TSP efforts are needed to prevent duplication and ensure that new DPI layers complement existing operator capabilities [22-24][219-232][112-126][76-78].
POLICY CONTEXT (KNOWLEDGE BASE)
The need for open APIs, standards and collaborative frameworks to avoid fragmented DPI layers aligns with the World Bank’s distinction between rigid standards and flexible blueprints for digital infrastructure development [S33] and with the push for interoperable public platforms in global DPI initiatives [S35].
AI‑driven telecom services require explainability, accountability and referenceable governance frameworks
Speakers: Speaker 1, Debashish Chakraborty, Rahul Vatts
Need for explainability, accountability and referenceable standards/playbooks to govern AI decisions in telecom (Speaker 1) Emerging policy frictions stem from expanding operator roles, data privacy mandates and the definition of digital intermediaries (Debashish Chakraborty) Sovereign cloud requires selective data residency and control, highlighting jurisdictional accountability (Rahul Vatts)
Speakers converge on the need for clear governance, explainability and accountability mechanisms for AI-enabled network functions, alongside regulatory clarity on data control and digital intermediaries [285-289][94-96][235-256].
POLICY CONTEXT (KNOWLEDGE BASE)
Calls for explainability, accountability and governance frameworks for AI-driven telecom services echo the TRI’s recommendation for a risk-based regulatory framework that mandates transparency for high-risk AI applications in telecom [S39] and the broader view of AI as critical infrastructure requiring robust governance [S45].
Similar Viewpoints
Both stress that sovereignty is multi‑dimensional: beyond mere data localisation it includes control over infrastructure, legal jurisdiction and active participation in standards bodies [235-256][157-176].
Speakers: Rahul Vatts, Deepak Maheshwari
Sovereign cloud requires local data residency, control‑plane ownership, and protection from foreign jurisdiction (Rahul Vatts) Sovereignty must balance physical control, citizen agency, and participation in global standard‑setting (Deepak Maheshwari)
Both highlight the importance of open, adaptable frameworks (blueprints or standards) that can be reused by other countries without restrictive licensing [219-232][318-327].
Speakers: Mansi Kedia, Deepak Maheshwari
Siloed public‑private systems miss efficiency, innovation and trust; global standards or flexible blueprints are essential (Mansi Kedia) India’s DPI model is open, royalty‑free and adaptable, enabling other nations to adopt without proprietary lock‑in (Deepak Maheshwari)
Both call for referenceable, adaptable standards or playbooks to ensure trustworthy, interoperable AI‑enabled telecom services [285-289][219-232].
Speakers: Speaker 1, Mansi Kedia
Need for explainability, accountability and referenceable standards/playbooks to govern AI decisions in telecom (Speaker 1) Siloed public‑private systems miss efficiency, innovation and trust; global standards or flexible blueprints are essential (Mansi Kedia)
Unexpected Consensus
Support for a wearable “data‑embassy” concept to store personal KYC/medical data locally
Speakers: Audience, Deepak Maheshwari
Proposal for “data‑embassy” wearable (KYC ring) that stores personal data locally with cryptographic safeguards (Audience) I would say yes if it is on reciprocal basis (Deepak Maheshwari)
A policy researcher (Deepak) unexpectedly endorses a consumer-focused wearable data-embassy idea, indicating openness to novel data-sovereignty mechanisms beyond institutional frameworks [371-374][375].
POLICY CONTEXT (KNOWLEDGE BASE)
The wearable ‘data-embassy’ concept builds on the emerging model of data embassies that keep data outside single geographic boundaries to mitigate crises, as demonstrated by Estonia and Monaco’s cloud-based data-embassy pilots [S42], and responds to concerns about the fragility of existing data-protection regimes [S44].
Telecom operators advocating for both use of hyperscaler clouds and a sovereign cloud offering
Speakers: Rahul Vatts, Julian Gorman
Sovereign cloud requires local data residency, control‑plane ownership, and protection from foreign jurisdiction (Rahul Vatts) Countries need to build AI‑enabled public infrastructure that is safe, interoperable, and aligned with national priorities while staying connected to global markets (Julian Gorman)
Rahul stresses the need for a sovereign cloud yet also acknowledges the efficiencies of hyperscaler clouds, aligning with Julian’s call for interoperable yet sovereign AI-enabled infrastructure-an unexpected harmony between national control and global integration [235-256][22-24].
POLICY CONTEXT (KNOWLEDGE BASE)
Telecom operators’ dual advocacy for hyperscaler clouds and sovereign cloud offerings reflects the trend toward sovereign versions of hyperscaler services, highlighted in analyses of future cloud markets [S46] and the EU’s GAIA-X sovereign cloud strategy [S36].
Overall Assessment

The panel shows strong convergence on four core themes: (1) telecom networks are now intelligent, AI‑enabled public infrastructure; (2) digital sovereignty must encompass control over infrastructure, standards and legal jurisdiction; (3) India’s open, royalty‑free DPI model offers a replicable blueprint for the Global South; (4) interoperable standards, open APIs and collaborative governance frameworks are essential to avoid fragmentation and ensure trust. These shared positions cut across ICT for development, AI, data governance and the enabling environment, indicating a high level of consensus that can drive coordinated policy and implementation actions.

High consensus – multiple speakers from industry, policy, and multilateral institutions repeatedly echo the same viewpoints, suggesting that concrete collaborative initiatives (e.g., standard‑setting, open‑API platforms, sovereign cloud frameworks) are feasible and likely to gain broad support.

Differences
Different Viewpoints
Definition and scope of digital/data sovereignty
Speakers: Julian Gorman, Rahul Vatts, Deepak Maheshwari
Sovereignty extends beyond data localisation to strategic control of infrastructure, standards and AI models (Julian Gorman) Sovereign cloud requires local data residency, control‑plane ownership, and protection from foreign jurisdiction (Rahul Vatts) Sovereignty must balance physical control, citizen agency, and participation in global standard‑setting (Deepak Maheshwari)
Julian stresses that sovereignty is about strategic control over infrastructure, standards and AI, not just where data sits [19-20]. Rahul breaks sovereignty into four technical slices – data residency, control-plane location, operational control and jurisdictional exposure [235-256]. Deepak adds a three-layer view: physical/administrative control for sensitive data, citizen-driven choice for personal data, and active participation in global standards bodies [157-176]. The speakers therefore disagree on which elements are primary and how broadly sovereignty should be framed.
POLICY CONTEXT (KNOWLEDGE BASE)
The definition and scope of digital/data sovereignty are debated, with scholars defining it as a nation’s ability to develop and regulate digital technologies for self-determination [S37] and policy briefs expanding the concept to include control over legal frameworks, encryption keys and infrastructure management [S45].
Role of standards versus flexible blueprints for integrating public and private DPI layers
Speakers: Mansi Kedia, Speaker 1
Siloed public‑private systems miss efficiency, innovation and trust; global standards or flexible blueprints are essential (Mansi Kedia) Need for explainability, accountability and referenceable standards/playbooks to govern AI decisions in telecom (Speaker 1)
Mansi argues that strict standards are too prescriptive and that adaptable blueprints are needed to avoid silos and foster trust, efficiency and innovation [204-218][219-232]. Speaker 1 calls for referenceable standards or playbooks to ensure AI explainability and accountability, implying that standards can be the main governance tool [285-289][310-313]. The disagreement lies in whether standards alone are sufficient or whether more flexible, blueprint-type guidance is required.
POLICY CONTEXT (KNOWLEDGE BASE)
The tension between prescriptive standards and flexible blueprints for integrating public and private DPI layers is captured in the World Bank’s discussion of the need for adaptable standards that can be tailored to context while still providing interoperability [S33].
Necessity of new wearable “data‑embassy” solution versus existing data security mechanisms
Speakers: Audience, Rahul Vatts, Deepak Maheshwari
Proposal for “data‑embassy” wearable (KYC ring) that stores personal data locally with cryptographic safeguards (Audience) Sovereign cloud requires local data residency, control‑plane ownership, and protection from foreign jurisdiction (Rahul Vatts) I would say yes if it is on reciprocal basis (Deepak Maheshwari)
An audience member proposes a ring that stores KYC/medical data locally with encryption and blockchain records [371-374]. Rahul counters that data security is already robust in Aadhaar and the real issue is governmental data handling, implying no need for such a device [376-381]. Deepak acknowledges the concept could work if based on reciprocal agreements [375]. The speakers thus disagree on whether a new wearable data-embassy is necessary.
POLICY CONTEXT (KNOWLEDGE BASE)
The necessity of a new wearable ‘data-embassy’ solution is examined against existing data-security mechanisms, with the data-embassy model offering resilience to geopolitical or disaster risks beyond traditional localisation approaches [S42].
Consistency of Rahul’s stance on sovereignty
Speakers: Rahul Vatts
Sovereign cloud requires local data residency, control‑plane ownership, and protection from foreign jurisdiction (Rahul Vatts)
Rahul initially outlines a detailed, multi-slice definition of sovereignty (data residency, control-plane, operational, jurisdictional) [235-256], but later states “there is no sovereignty which is involved” when referring to existing sovereign-cloud offerings [258]. This internal inconsistency reflects a contradictory position on the relevance of sovereignty in practice.
Unexpected Differences
Wearable data‑embassy proposal versus existing data security claims
Speakers: Audience, Rahul Vatts, Deepak Maheshwari
Proposal for “data‑embassy” wearable (KYC ring) that stores personal data locally with cryptographic safeguards (Audience) Sovereign cloud requires local data residency, control‑plane ownership, and protection from foreign jurisdiction (Rahul Vatts) I would say yes if it is on reciprocal basis (Deepak Maheshwari)
The audience’s innovative suggestion of a ring-based data embassy was met with Rahul’s assertion that current Aadhaar-based systems are already secure and that the problem lies elsewhere, not in the technology itself [376-381]. Deepak’s conditional acceptance adds a diplomatic nuance. The clash between a novel technical solution and the claim that existing mechanisms are sufficient was not anticipated.
POLICY CONTEXT (KNOWLEDGE BASE)
Debates over the wearable data-embassy versus existing security claims reference the same data-embassy experiences in Estonia and Monaco, which illustrate how sovereign data hosting can complement or surpass conventional security measures [S42].
Rahul’s contradictory statements on the relevance of sovereignty
Speakers: Rahul Vatts
Sovereign cloud requires local data residency, control‑plane ownership, and protection from foreign jurisdiction (Rahul Vatts) there is no sovereignty which is involved (Rahul Vatts)
Rahul first provides a detailed, four-slice definition of data sovereignty, emphasizing its importance [235-256], but later dismisses the concept by saying “there is no sovereignty which is involved” when discussing sovereign-cloud offerings [258]. This internal inconsistency was unexpected.
Overall Assessment

The panel shows moderate disagreement centred on how to define and operationalise data sovereignty, the balance between strict standards and flexible blueprints, and the necessity of new technical solutions such as wearable data‑embassies. While participants share common goals—integrated, trustworthy DPI and global diffusion of India’s model—their preferred pathways diverge, reflecting differing priorities between strategic control, technical implementation, and regulatory flexibility.

Medium level of disagreement: substantive but not polarising. The divergences highlight the need for further consensus‑building on sovereignty frameworks and standards design to ensure coherent policy and industry action.

Partial Agreements
All three agree that the overarching goal is to avoid fragmented, parallel DPI structures and to build trusted, efficient ecosystems. Debashish raises the risk of duplicate operator‑led capabilities [76-78]; Speaker 1 proposes converged platforms and open APIs to prevent duplication [112-126]; Mansi stresses that standards or blueprints are needed to integrate systems and avoid silos [204-218]. They differ on the mechanism—API‑centric collaboration versus broader standards/blueprints.
Speakers: Debashish Chakraborty, Speaker 1, Mansi Kedia
Networks have shifted from passive carriers to active contributors to governance, resilience and trust (Debashish Chakraborty) Open APIs and collaborative TSP frameworks prevent parallel, fragmented DPI layers and ensure complementarity (Speaker 1) Siloed public‑private systems miss efficiency, innovation and trust; global standards or flexible blueprints are essential (Mansi Kedia)
All agree that India’s DPI model should be leveraged internationally. Rahul highlights Airtel’s export of DPI solutions to Africa as a practical transfer [64-70]; Deepak stresses the open, non‑proprietary protocol that can be freely adopted [318-327]; Mansi points to World Bank reports that use India’s DPI as a benchmark for other countries [353-368]. The disagreement lies in the preferred pathway—private‑sector product bundles versus open protocol and multilateral blueprints.
Speakers: Rahul Vatts, Deepak Maheshwari, Mansi Kedia
Airtel’s network as the trust foundation for UPI, OTP, fraud mitigation and large‑scale transactions (Rahul Vatts) India’s DPI model is open, royalty‑free and adaptable, enabling other nations to adopt without proprietary lock‑in (Deepak Maheshwari) World Bank views India’s DPI experience as a proven blueprint for emerging markets, informing digital development strategies (Mansi Kedia)
Takeaways
Key takeaways
Telecom networks have evolved from passive connectivity to intelligent, programmable platforms that embed AI and support digital public infrastructure (DPI) services such as identity verification, payments, fraud mitigation, and emergency response. Networks are now active contributors to governance, resilience and trust, providing contextual data enrichment through open APIs that enable real‑time decision making for banks, regulators and other service providers. Data sovereignty in the AI era goes beyond physical data localisation; it requires control over the infrastructure, standards, AI models and the control‑plane, while still remaining interoperable with global markets. Open, interoperable standards and flexible blueprints are essential to avoid fragmented, parallel DPI layers and to foster efficiency, innovation and trusted ecosystems. Regulatory frameworks must evolve to address AI explainability, accountability, digital‑intermediary definitions and jurisdictional exposure (e.g., foreign cloud‑act requests). India’s DPI model—open, royalty‑free, and supported by diplomatic and multistakeholder channels—offers a scalable template for the Global South, demonstrated by Airtel’s export of DPI solutions to Africa. Collaboration among MNOs, regulators, standards bodies (GSMA, ITU, ISO, etc.) and development agencies (World Bank) is critical to create referenceable playbooks and standards for AI‑enabled networks.
Resolutions and action items
Commit to further collaboration on GSMA OpenGate APIs and their certification across operators (noted by Debashish). Explore the development of referenceable AI‑telecom standards/playbooks that address explainability, accountability and digital‑intermediary scope (suggested by the Vodafone Idea speaker). Continue sharing India’s DPI blueprints and open‑protocol designs with partner countries, especially in Africa, through diplomatic and development channels (highlighted by Rahul and Deepak). Investigate the feasibility of ‘data‑embassy’ wearable solutions for personal KYC/medical data storage, as raised by the audience member (Vijay Agarwal). Encourage participation of Indian stakeholders in global standard‑setting bodies to shape AI‑related standards rather than merely adopt them (emphasised by Deepak).
Unresolved issues
Specific regulatory mechanisms for AI explainability and accountability in telecom networks remain undefined. How to operationalise jurisdictional sovereignty (e.g., protection from foreign legal orders like the US CLOUD Act) for operator‑hosted AI models and data. The exact scope and obligations of telecom operators as ‘digital intermediaries’ under emerging data‑privacy laws are still unclear. Details on how to prevent duplication of DPI layers while integrating private‑sector capabilities need further concrete frameworks. Implementation pathways for the proposed wearable ‘data‑embassy’ concept, including standards, security and cross‑border recognition, were not resolved.
Suggested compromises
Adopt an “open yet sovereign” approach: maintain open, globally‑compatible standards while retaining national control over critical infrastructure and data. Use flexible blueprints instead of rigid standards where appropriate, allowing countries to adapt DPI implementations to local contexts while preserving interoperability. Selective data residency: keep sensitive citizen and security data within national borders while leveraging global hyperscale clouds for non‑critical workloads. Balance efficiency gains from private‑sector data (e.g., mobile usage for credit scoring) with public‑sector trust by providing open APIs and transparent governance. Encourage collaborative standard‑setting (contribute to GSMA, ITU, ISO) rather than unilateral control, ensuring mutual benefit and shared ownership of AI‑related protocols.
Thought Provoking Comments
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 standards and the intelligence that underpins the national digital system.
Shifts the discussion from a narrow focus on data localisation to a broader, more strategic view of digital sovereignty that includes standards, governance and AI‑enabled decision‑making.
Set the thematic foundation for the rest of the panel, prompting speakers to address how telecom networks can provide not just connectivity but also governance, control and trust. It led directly to deeper questions about standards, open APIs and the role of regulators.
Speaker: Julian Gorman
India transacted 28 lakh crores rupees through UPI in January alone, over a billion people, and that trust is built on a massive connectivity layer – more than a million BTSs, 500 lakh km of fiber, and thousands of edge data centres. The OTP/SMS layer is the trust fabric that makes these transactions possible.
Quantifies the scale of India’s digital public infrastructure and links the physical network directly to trust‑building mechanisms, illustrating why telecom is a critical public asset.
Provided concrete evidence that reinforced Julian’s claim about the network’s strategic role. It steered the conversation toward concrete use‑cases (payments, fraud detection) and prompted other panelists to discuss how that trust layer can be extended or duplicated without fragmentation.
Speaker: Rahul Vatts
Context and enrichment are the key value‑adds of the DPI ecosystem. By exposing enriched, real‑time data (e.g., Aadhaar verification concurrent with a call) via open APIs, TSPs enable banks and other services to make instant, informed decisions while remaining interoperable.
Introduces the concept of contextual data as a shared public good rather than a proprietary asset, highlighting how open APIs can prevent duplication and foster collaboration.
Shifted the dialogue from describing existing services to proposing a collaborative data‑sharing architecture. It prompted Rahul and others to reference OpenGateway APIs and set the stage for the later discussion on standards vs blueprints.
Speaker: Speaker 1 (representing the TSP community)
Digital sovereignty should be viewed in three layers: physical location of data, the local contextual relevance of that data, and the agency of citizens to decide where their data travels. Moreover, sovereignty is better achieved by contributing to global standards rather than trying to control them unilaterally.
Expands the definition of sovereignty beyond technical storage to include cultural context, citizen agency, and participation in standard‑setting bodies, challenging a purely protectionist stance.
Prompted a nuanced debate on the balance between national control and global interoperability. It influenced Mansi’s distinction between standards and blueprints and reinforced the call for collaborative governance.
Speaker: Deepak Maheshwari
Standards are prescriptive and enable commercialisation, whereas blueprints are flexible, adaptable frameworks that capture best practices without locking countries into a single implementation path.
Clarifies a common confusion in policy circles and offers a pragmatic way to reconcile the need for interoperability with the need for local adaptability.
Provided a conceptual tool that the panel used to discuss how India’s DPI can be exported to the Global South without imposing rigid standards. It also helped frame the later audience question about “data embassies” as a blueprint rather than a fixed standard.
Speaker: Mansi Kedia
Sovereignty can be sliced into four practical dimensions: (1) data residency, (2) control‑plane locality, (3) operational sovereignty (where patches and software updates originate), and (4) jurisdictional sovereignty (e.g., exposure to foreign legal orders like the US CLOUD Act).
Breaks down an abstract concept into actionable metrics that operators can assess, highlighting gaps in current cloud and AI deployments.
Deepened the technical discussion, leading other speakers to acknowledge the need for “sovereign cloud” offerings and to consider regulatory reforms. It also set up the later exchange on whether hyperscalers can truly be sovereign.
Speaker: Rahul Vatts
India’s DPI model is open‑protocol, royalty‑free and backed by diplomatic channels; it can be adopted by Global South countries without the IP‑licensing strings that often accompany foreign technology transfers.
Positions India’s approach as a scalable, non‑extractive alternative for developing economies, linking technology policy with soft‑power diplomacy.
Served as a turning point that moved the conversation from domestic challenges to international exportability. It reinforced Mansi’s point about blueprints and sparked interest from the audience about data‑embassy concepts.
Speaker: Deepak Maheshwari
Overall Assessment

The discussion was driven forward by a handful of high‑impact remarks that reframed the debate from a narrow technical focus to a strategic, multi‑dimensional view of digital sovereignty, trust, and interoperability. Julian’s opening set the agenda, while Rahul’s scale‑driven illustration grounded it in reality. The TSP speaker’s emphasis on context and open APIs, Deepak’s three‑layer sovereignty model, and Mansi’s standards‑vs‑blueprints distinction each introduced new analytical lenses that reshaped subsequent contributions. Rahul’s four‑slice sovereignty framework provided concrete metrics, prompting regulators and operators to consider practical policy adjustments. Finally, Deepak’s articulation of India’s open, diplomatic DPI export model pivoted the conversation toward global South relevance, tying together the earlier themes of openness, sovereignty, and collaborative standards. Collectively, these comments steered the panel from describing existing infrastructure to debating how to evolve it responsibly and inclusively on a global scale.

Follow-up Questions
How can we ensure that the efforts by MNOs adding new DPI trust layers complement rather than duplicate existing operator‑led capabilities such as the GSMA Open Gateway APIs?
Ensures interoperability, avoids fragmentation and leverages existing standards for efficient digital public infrastructure.
Speaker: Debashish Chakraborty
How should India define data sovereignty in an AI‑driven DPI era beyond mere data localisation, especially regarding control over standards, decision‑making systems, and long‑term strategic autonomy?
Clarifies the broader dimensions of sovereignty needed for AI‑enabled public infrastructure and informs policy formulation.
Speaker: Debashish Chakraborty
What are the risks when public digital infrastructure and private digital capabilities are built in silos, and why are global standards essential for accelerating inclusive digital outcomes?
Identifies potential inefficiencies, security gaps, and innovation loss, highlighting the need for coordinated standards.
Speaker: Debashish Chakraborty
What does data sovereignty practically mean for operators in terms of data storage, edge processing, cloud reliance, and control of AI models?
Seeks concrete operational criteria for telecoms to implement sovereign data practices while using AI.
Speaker: Debashish Chakraborty
What are the biggest policy frictions emerging as networks become AI‑driven platforms, and how can data‑sovereignty considerations address these regulatory challenges without slowing innovation?
Aims to pinpoint regulatory gaps (e.g., explainability, accountability) and explore sovereign‑centric solutions.
Speaker: Debashish Chakraborty
How can India leverage its DPI and telecom‑led digital architecture to provide a credible, scalable model for the Global South, especially for countries seeking digital sovereignty without technological isolation?
Explores the exportability of India’s model and its potential to support inclusive development in other emerging economies.
Speaker: Debashish Chakraborty
How do you see India’s DPI model shaping digital development strategies across emerging economies?
Seeks insight into the influence of India’s approach on policy and implementation in other nations.
Speaker: Debashish Chakraborty
Could a wearable product (e.g., a ring) store personal KYC/medical data securely on the device, using encryption and blockchain, and could such an approach support the concept of data embassies for India?
Proposes an innovative personal‑data‑sovereignty solution that raises technical, privacy, and regulatory questions.
Speaker: Vijay Agarwal (audience)
What referenceable standards, playbooks or blueprints are needed to ensure AI explainability and accountability in telecom‑driven fraud‑scam protection without compromising security?
Calls for concrete guidance to balance transparency of AI decisions with operational security.
Speaker: Martin (Speaker 1)
What regulatory framework should apply to telecom operators acting as digital intermediaries, especially concerning data‑privacy, purpose limitation, and monetisation of subscriber data?
Highlights ambiguity in existing laws and the need for clear rules for AI‑enabled telco services.
Speaker: Martin (Speaker 1)
How can sovereign cloud offerings be designed so that operators retain control over the control‑plane, operational sovereignty, and jurisdictional exposure while still benefiting from hyperscale efficiencies?
Seeks a model that reconciles local data control with the advantages of large‑scale cloud services.
Speaker: Rahul Vatts
What institutional mechanisms and incentives can ensure that India contributes to global standards (e.g., GSMA, ISO, ITU) while preserving strategic autonomy?
Addresses the need for a balanced participation strategy in multistakeholder standard bodies.
Speaker: Deepak Maheshwari
What is the optimal balance between prescriptive standards and flexible blueprints for implementing DPI in diverse country contexts?
Explores how to provide adaptable guidance without stifling local innovation or creating fragmentation.
Speaker: Mansi Kedia
What are the technical and policy challenges of adapting India’s DPI model (including open protocols and open‑source frameworks) for African countries, and how can these be systematically studied?
Calls for research on transferability, customization, and impact assessment of India’s DPI in Africa.
Speaker: Rahul Vatts
How can quantum‑resistant security measures be integrated into critical identity systems like Aadhaar to future‑proof data sovereignty?
Identifies emerging security threats and the need for research into quantum‑safe cryptography for national ID platforms.
Speaker: Rahul Vatts

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