Building Trusted AI at Scale Cities Startups & Digital Sovereignty – Keynote Ananya Birla Birla AI Labs
20 Feb 2026 12:00h - 13:00h
Building Trusted AI at Scale Cities Startups & Digital Sovereignty – Keynote Ananya Birla Birla AI Labs
Summary
The speaker launched Birla AI Labs, an entity serving the Aditya Birla Group’s AI needs and advancing frontier research to boost India’s AI role [19-27]. He likened this moment to the Industrial Revolution, noting AI amplifies cognitive abilities beyond technological shifts [10-15].
The lab’s first mandate embeds AI across the group’s $120 billion operations, leveraging a 160-year legacy and vast data [24-33]. Examples include cutting Birla Estates’ timelines by 90% to save 2,000 days, halving underwriting time in Aditya Birla Capital, and an system tracking KPIs for Hindalco [34-44]. In Tantra micro-finance, AI targets at least 30% productivity gains, expanding loan access for rural women, while Love Etc uses AI to create marketing assets [46-55]. These deployments shift focus from AI feasibility to speed and depth of adoption in complex sectors [56-58].
The second mandate creates a research lab with talent from Oxford, IIT Madras and ISRO, focusing on foundation models for time-series data-a $600 billion market [60-68]. The ‘Time to Time’ paper questioned model understanding of market crashes, and a beta AI platform was launched at IIT Bombay; a Delhi University study examined student curiosity effects [66-75]. He urged an ecosystem linking academia, industry and policy to help India grow from $4 trillion to $40 trillion [92-96]. Birla AI Labs will act as a responsible technology builder, collaborating with partners to co-author India’s AI chapter [97-100].
He tied the group’s legacy of adapting through independence, liberalisation and globalisation-a ‘muscle memory’ for tectonic shifts-to the claim ‘We are here to build a new world’ [79-86]. Acknowledging that the playbook for the future remains unwritten, he invited stakeholders to write it together [98-100].
Keypoints
– AI as a historic, transformative force for India – The speaker frames the current AI wave as surpassing the Industrial Revolution, emphasizing that AI amplifies cognitive abilities and will be pivotal in moving India from a $4 trillion to a $40 trillion economy by 2047 [9-16][17-18].
– Birla AI Labs’ dual mandate – The new unit will (1) act as an apex AI body for the Aditya Birla Group, delivering business-focused solutions, and (2) operate as a frontier research lab that creates proprietary AI products for the broader market [24-28][59-62].
– Real-world AI deployments across the Group’s businesses – Concrete examples are given: compressing project timelines at Birla Estates, cutting underwriting and credit-assessment times at Aditya Birla Capital, real-time shop-floor intelligence and digital twins at Hindalco, productivity gains for the micro-finance arm Tantra, and hyper-personalized marketing in the consumer brands [33-55].
– Frontier research initiatives – The lab is pursuing (a) structured-foundation models for time-series data, probing whether models truly understand market crashes [64-67]; (b) studies on AI’s impact on human cognition and agency, with results to be presented at King’s College [68-71]; and (c) an AI-native research-productivity platform deployed at IIT Bombay [72-76].
– Call for a collaborative AI ecosystem – The speaker argues that no single institution can navigate the AI epoch alone; building India’s $40 trillion future will require sustained collaboration among academia, industry, and policy, with Birla AI Labs positioning itself as a responsible leader [92-99].
Overall purpose/goal
The discussion serves to launch and legitimize Birla AI Labs, outlining its strategic vision, showcasing early successes, highlighting cutting-edge research, and rallying stakeholders around a broader, collaborative ecosystem that will enable India to lead the global AI narrative.
Overall tone
The speaker begins with humble reverence and nervous excitement ([1-7]), shifts to confident, visionary enthusiasm when describing AI’s potential and the lab’s ambitions ([9-18][24-28]), adopts a pragmatic, results-driven tone while detailing business deployments ([33-55]), moves to scholarly, responsible seriousness in the research segment ([64-76]), and concludes with a collective, duty-bound call for partnership and stewardship ([92-99]). The tone evolves from personal modesty to bold optimism and finally to a measured, collaborative responsibility.
Speakers
– Speaker 1 – Role/Title: (not specified in the transcript); Area of Expertise: (not specified in the transcript)
Additional speakers:
– (none)
The speaker opened by greeting the audience with a traditional “Namaste”, thanked the host for the introduction and expressed honour at being among distinguished leaders such as the Prime Minister, Sundar Pichai and Rishi Sunak. He admitted feeling nervous and humbled by the high-profile company he kept, noting that the occasion was “clearly not a joke” [1-7].
He then framed the present AI wave as a historic turning point that will eclipse the Industrial Revolution. While the latter amplified physical labour, AI amplifies cognitive capability, creating a “Cambrian explosion of possibilities” that rewrites the relationship between human effort and economic output. In his view, this transformation is essential for moving India from a $4 trillion to a $40 trillion economy by 2047 [9-16][17-18].
Against this backdrop he announced the creation of Birla AI Labs, a unit with a dual mandate. First, it will act as an apex AI body for the Aditya Birla Group, delivering bespoke solutions that unlock value across the conglomerate’s businesses. Second, it will operate as a frontier research laboratory that builds proprietary AI products for the open market. The lab’s positioning-combining real-world data, domain expertise and enterprise-scale deployment with the freedom to innovate-gives it a rare strategic advantage [24-28][59-62].
The speaker highlighted the Group’s scale and heritage: a 160-year-old operation with decades of operational data across manufacturing, financial services, commodities and consumer businesses; a $120 billion market capitalisation; presence in 42 countries; and a workforce of over 250 000 employees. These assets already enable tangible early gains as advanced analytics and AI reshape supply chains, workforce management and other core functions [31-33].
Under the first mandate, the lab is already delivering measurable efficiency gains. At Birla Estates, AI is used to compress project-concept timelines by 90 %, freeing more than 2 000 man-days per year and dramatically improving speed to market [34-36]. Contract-intelligence tools will now give our teams a unified, accurate view of every agreement, flagging potential claims before they escalate [34-37]. In Aditya Birla Capital, AI-driven underwriting has cut turnaround time by half and reduced credit-assessment preparation by 90 %; an AI-enabled sales programme is projected to generate over $100 million in gross sales [37-38]; and the customer-service platform now resolves first-call queries at a rate exceeding 90 % [37-38].
In the heavy-industry arm Hindalco, a proprietary factory-intelligence system integrates 24 operational KPIs in real time, turning static spreadsheets into a living intelligence layer that flags anomalies before they escalate. The team is also building a digital twin of its smelters and furnaces, topped with an AI layer that will orchestrate the entire coal-sourced power ecosystem [42-45].
The micro-finance subsidiary Tantra is embedding AI across sales, audit and quality-control functions, targeting at least a 30 % productivity lift. This translates into loan officers reaching more customers and, crucially, women in villages gaining access to capital that was previously out of reach [46-49].
Within the consumer-brand portfolio, AI is powering hyper-personalised marketing and real-time inventory intelligence. Brands such as Love Etc and Contraband are using AI-creativity tools to move from campaign ideation to final asset delivery at a fraction of traditional costs, underscoring that AI now works reliably in complex, capital-intensive sectors [53-55].
Having proved feasibility, the strategic question shifts from “if” AI can be applied in complex, capital-intensive sectors to “how fast and how deep” we should deploy it amid inherent ambiguity [56-58].
The second mandate focuses on frontier research. The lab’s first major research vertical tackles structured foundation models for time-series and tabular data, a market estimated at $600 billion [64-68]. Their paper “Time to Time”, accepted while the team was in San Diego, asks whether such models truly understand phenomena like market crashes or merely fit curves; a researcher showed that injecting the signature of a historical crash into a model’s hidden states can shift its forecast, suggesting genuine structural learning [64-68].
Ethical and societal impact is also a priority. A study conducted with Delhi University students examined how large-language-model usage influences curiosity and cognitive agency; the findings will be presented at King’s College, reinforcing the lab’s belief that AI developers must embed human-impact research into their core work [68-71].
Complementing research, the lab launched an AI-native research and productivity platform in December 2024 at IIT Bombay. The platform combines genetic search, real-time data processing and multimodal intelligence to deliver contextual insights across the internet, documents and financial data, and is already being used in the speaker’s own office to boost day-to-day efficiency [72-76].
The speaker then reflected on the Aditya Birla Group’s long-standing alignment with India’s national narrative-building through independence, liberalisation and globalisation-and described this legacy as a “muscle memory” for navigating tectonic shifts. He noted that the generations before him, his brother and his sister, learned to read the early tremors, to invest before consensus forms, and to build for decades rather than just quarters [84-86].
Emphasising collaboration, he argued that no single institution, however large, can steer the AI epoch alone. Realising India’s $40 trillion future will require a sustained ecosystem that brings together academia, industry and policy. Birla AI Labs has built, and is building, a credible global research presence, presenting at top venues, partnering with leading institutions and attracting talent that could work anywhere in the world but has chosen to build for India [58-61].
He reiterated that, at the Aditya Birla Group and through Birla AI Labs, the organization is “here to build a new world”, a refrain he repeated to stress the ambition [79-86].
In closing, he acknowledged that the playbook for the next phase of AI-driven growth has not yet been written, and invited stakeholders to co-author it with the Group. He thanked the audience and expressed honour at having shared the vision [98-100][101].
Namaste. Thank you so much for that introduction. Good evening everyone. It is truly an honor to be here today. In his May 2011 address to the British Parliament, President Obama said, and I quote, I am told that the last three speakers here have been the Pope, Her Majesty, the Queen, and Nelson Mandela, which is either a very high bar or the beginning of a very funny joke. Unquote. Even though I am no President Obama, I feel something similar standing before you this evening. Being in the company of leaders like our Honorable Prime Minister Modiji, Sundar Pichai, Rishi Sunak, Sam Altman, Mukesh Ambani, Narayan Murthy, and my father, to name a few, this for sure is a very high bar that I will surely not reach.
I am very nervous and this is clearly not a joke. Under the leadership of our Honorable Prime Minister, it has been extraordinary to see to watch India step into a driving role in the global AI discourse. As a young leader, I feel extremely grateful to have this platform and I feel that it is our responsibility to make sure that we deliver. India’s journey from a $4 trillion economy to a $40 trillion economy in the arc that stretches from where we are today to the Vixit Bharat we aspire to be by 2047, technology will play a decisive role. This moment carries a similar taste to that of the Industrial Revolution. A period where the relationship between human labor and economic output was fundamentally rewritten.
And yet, I would argue, that what we are witnessing today is even more profound. The Industrial Revolution amplified our physical capabilities. AI is amplifying our cognitive ones. What we are living through is nothing less than a Cambrian explosion of possibilities. A phase where entirely new forms of value and new modes of human potential are emerging at a pace that defies our linear thinking. We are standing at a seminal moment in the history of human progress. A moment of extraordinary possibilities. In our humble attempt to translate these possibilities into reality, I am here to introduce Birla AI Labs. When it comes to the Aditya Birla group and AI, I want to be clear. My father has been at this for a while.
Deliberately, quietly, and steadily. Not for the spectacle, but to deliver tangible value to our stakeholders. Birla AI Labs has a dual mandate. The first is to service my father’s direction and act as an apex AI body for the Aditya Birla Group, building solutions alongside our business tech teams to unlock new value across our businesses. The second is to operate as a frontier research lab doing ongoing original research at cutting edge and translating that science into proprietary AI products for the open market. This dual positioning gives Birla AI Labs a rare advantage. Real world data, domain know -how and enterprise scale deployment through the group paired with the freedom to build category defining products for global markets.
Let me share what this looks like in practice. As a part of our first mandate driven by my father, we are executing AI deployment, across the Aditya Birla Group. The group has been operational for the last 160 plus years, and we have decades of operational data across manufacturing, financial services, commodities, consumer businesses, and a growing bench of talent that understands both the science and the business, giving us an undeniable moat. With a $120 billion market cap operating across 42 countries with over 250 ,000 employees, we are witnessing tangible early gains across our diverse portfolio as advanced analytics and AI reshape everything from supply chains to workforce management. Let me start with Birla Estates. We will be using AI to compress project concept timelines by 90%.
Freeing over 2 ,000 man days a year. The immediate impact is efficiency. Architects and developers are no longer constrained by the time it takes to test an idea Contract intelligence tools will now give our teams a unified, accurate view of every agreement Flagging potential claims before they escalate Moving into financial services and the transformation takes a completely different shape Aditya Birla Capital has built one of the most ambitious Gen AI programs in India’s financial sector Not by picking a single use case, but by going after the entire value chain at once Underwriting turnaround time is down 50 % Credit assessment preparation has been cut by 90 % A fully AI -enabled sales program is already targeting more than $100 million in gross sales And it’s not just about the sales, it’s also about the value of the product While the customer service platform is pushing first call resolution beyond 90 % What makes this remarkable is not any individual number.
It is the concurrence. Then there is Hindalco. And here the story shifts register entirely. This is about applying intelligence in one of the most physically demanding energy -intensive industries in the world. On the shop floor, a proprietary factory intelligence integrates 24 operational KPIs in real -time, turning what were once static spreadsheets into a living intelligence layer that surfaces anomalies before they escalate. And what we are building is more ambitious still. A digital twin for our smelters and furnaces, and an AI layer on top that will orchestrate the entire coal -sourced power ecosystem. But if there is one place in our portfolio where AI feels most consequential, most human, it is for Tantra. Tantra our microfinance business.
Here we are embedding AI across sales, audit and quality control and we expect it to unlock at least 30 % in productivity gains. It means a loan officer can reach more people. It means a woman in a village gets access to capital that she would not have had access to otherwise. That kind of efficiency does not just improve margins, it has the potential to improve lives. The consumer businesses brings this completely full circle. I have come to believe through my experience that to build great brands today, product must be backed by content -driven distribution. Our fashion, retail and jewelry businesses are deploying AI for hyper -personalized marketing and real -time inventory intelligence. Within Birla Cosmetics, our brand Love Etc and Contraband are using AI creativity tools to move from campaign ideation to final asset delivery at a fraction of the traditional cost.
What this tells me is that the question is no longer whether AI can work in complex, capital -intensive real -world industries. We have seen it and we know it can. The real question is how fast and how deep should we go, given the ambiguity that surrounds artificial intelligence. Now, on to our second mandate. And this is where Birla AI Labs operates as a frontier research lab. The conviction here is simple. India’s next great institution will emerge at the intersection of deep research, applied engineering and market creation. That is our North Star. To do this, we have assembled a global team of researchers and engineers from Oxford and IIT Madras to BITS Pilani, ISRO Google and Goldman Sachs.
Our first major research vertical is in structured foundation. A field that a recent Forbes article estimates at a $600 billion market opportunity. Often overlooked, a vast majority of the world’s data sits in time series and tabular formats Stock prices, sensor readings, supply chain signals, weather patterns, energy consumptions, patient vitals This data could actually power predictive intelligence in industry, in finance, in infrastructure, in healthcare In December, our team was in Europe in San Diego where our paper, Time to Time, was accepted It asks a very provocative question Do these time series foundation models actually understand what a market crash is? Or are they just fitting curves? A researcher showed that you can reach inside a model’s hidden states Inject the signature of a historical crash and watch the forecast shift accordingly This is not a question of time This is not curve fitting This is a model that has learned something about the structure of the world Our researchers are working at that frontier This thesis for Birla AI Labs has been presented at the Oxford AI Summit and the World Summit AI in the Netherlands in 2025 This lab has built, is building I would say a credible global research presence presenting at top venues partnering with leading institutions and attracting talent that could work anywhere in the world but has chosen to build for India A second research vertical is one that I believe the industry has a moral obligation to pursue AI now mediates the everyday decisions, relationships and information environments of over 1 .7 billion people worldwide Yet the study of what this does to human cognition, agency and daily life remains nascent We at Birla AI Labs want to do something about this We are here to help We conducted a study with Delhi University students to measure how language model usage affects curiosity and cognitive agency among students.
The results of this study will be presented at King’s College this June. This is the kind of research that industry too often leaves to others. But I believe that those of us who are building AI have a responsibility to understand its human consequences, not as an afterthought, but as a core part of the enterprise. Alongside the research, we are also building tools. In December 2024, we launched a beta version of an AI native research and productivity platform at IIT Bombay. Combining a genetic search, real -time data processing and multimodal intelligence to deliver contextual insights across the Internet, documents and financial data. That platform is now being used across my own office. to drive day -to -day efficiency.
It is a tangible example of what happens when frontier research meets applied deployment. And that is exactly the loop that we at Birla AI Labs are designed to close. This approach, building at the frontier while staying rooted in real -world application, is not new to us. The Aditya Birla Group’s history has been very intertwined with the story of our nation. My forefathers have built through every chapter of India’s journey, through independence, through liberalization, through globalization. Ours is a history of reading the moment, adapting with conviction, and building institutions that outlast the disruptions that gave birth to them in the first place. This century of building has given us something very invaluable, a muscle memory for navigating tectonic shifts We are here to build a new world.
We are here to build a new world. We are here to build a new world. We are here to build a new world. We are here to build a new world. The generations before me, my brother and my sister, have learned to read the early tremors, to invest before consensus forms, and to build for decades rather than just quarters. Every generation of our group has faced a moment where the old playbook had to be rewritten. What is different today is the elements of high ambiguity and uncertainty, which, if we look at closely, can give rise to immense opportunity. And that is precisely what makes this moment so thrilling and so consequential. But here is what I have come to believe very, very strongly.
No single institution, no matter how large or how well resourced, can navigate this epoch alone. The journey from $4 trillion to $40 trillion will not be powered by industry acting in isolation. It will require something way more fundamental. It will require us to build an ecosystem that brings academia, industry and policy into genuine, sustained collaboration. As India writes its AI chapter, we intend to be on the front lines, not as observers, not as fast followers, but as honest and true responsible builders of technology, of institutions and of the ecosystem this country needs to lead. And we will do so with utmost responsibility. The playbook for what comes next has not yet been written. And at the Aditi Birla Group and at Birla AI Labs, we look forward to writing it together.
Thank you all so very much. It’s been an honour.
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Event“The speaker opened by greeting the audience with a traditional “Namaste”.”
The transcript of the keynote shows the speaker beginning with “Namaste” [S7].
“He expressed honour at being among distinguished leaders such as the Prime Minister, Sundar Pichai and Rishi Sunak.”
The knowledge base records the speaker thanking “Prime Minister Modi and distinguished leaders” and mentions Sundar Pichai speaking, but does not reference Rishi Sunak, indicating only the Prime Minister and Sundar Pichai are documented as present [S39].
“He framed the present AI wave as a historic turning point that will eclipse the Industrial Revolution.”
Demis Hassabis is quoted as saying AI will be “100 times more impactful than the industrial revolution,” supporting the claim that AI will eclipse it [S45].
Speaker 1 presents a highly coherent set of arguments that interlink AI as a transformative cognitive amplifier, a dual‑mandate organisational model, demonstrable early business wins, frontier research, ethical responsibility, and a call for a collaborative ecosystem. The internal consistency across economic, technical, and ethical dimensions indicates a strong, unified vision.
Very high internal consensus – all arguments reinforce each other, suggesting a unified strategic stance that could shape policy, industry practice, and research priorities in India’s AI trajectory.
The transcript contains only a single speaker (Speaker 1) delivering a continuous keynote. No other participants are recorded, and all listed arguments originate from the same speaker. Consequently, there are no points of contention, no partial agreements, and no surprising divergences within the discussion.
Minimal – the absence of multiple speakers means the discourse is wholly cohesive, implying that the presented ideas face no internal challenge within this session.
The speech’s momentum is driven by a series of high‑impact statements that repeatedly reset the conversation’s focus—from historical analogy to organizational strategy, from commercial wins to ethical responsibility, and finally to ecosystem building. Each thought‑provoking comment acts as a micro‑turning point, steering the audience from awe‑inspiring possibilities to concrete examples, then to critical self‑examination, and ultimately to a collaborative call to action. Collectively, these remarks shape the discussion into a layered narrative that balances ambition with humility, profit with purpose, and isolated innovation with collective stewardship.
Disclaimer: This is not an official session record. DiploAI generates these resources from audiovisual recordings, and they are presented as-is, including potential errors. Due to logistical challenges, such as discrepancies in audio/video or transcripts, names may be misspelled. We strive for accuracy to the best of our ability.
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