Keynote-Olivier Blum
19 Feb 2026 14:45h - 15:00h
Keynote-Olivier Blum
Summary
Speaker 1 opened the session by thanking Mr. Schneider and introducing Mr. Olivier Blum, the Global CEO of Schneider Electric, noting that the company sits at the intersection of energy efficiency and digital infrastructure challenges amplified by AI and data-center power use [1-5].
Blum began by congratulating the Indian government and describing his personal journey from arriving in India in 2008 to now leading a global firm, highlighting that access to reliable, clean power remains the planet’s biggest problem, not only for India but worldwide [13-17]. He explained that AI drives higher compute demand, which in turn raises energy consumption and will place unprecedented pressure on existing energy systems, a priority for governments and a geopolitical issue [21-27].
According to Blum, Schneider Electric is uniquely positioned after 190 years in the power sector to finally link the physical and digital worlds, a shift enabled by the post-Paris-Agreement focus on demand-side efficiency rather than just supply [31-34][38-40]. He argued that making every asset “connectable” and applying foundational AI models will create “energy intelligence,” allowing the company to overcome past inefficiencies and contribute to the climate transition [81-86].
Blum illustrated the rapid growth of data-center power density, noting racks in India now reach about 80 kW and in the US 150 kW, with future designs targeting 500 kW to 1 MW, which will force a complete redesign of energy infrastructure [55-60]. He mentioned the emerging 800-volt DC architecture as a necessary technology for the AI-driven data-center of tomorrow [60]. Highlighting India’s strategic importance, Blum pointed out that the country hosts Schneider’s third-largest workforce (40 000 employees) and its biggest R&D centre with 8 000 staff, providing a fertile ground for innovation [101-105]. He gave a concrete example of home-energy savings, stating that connecting residential electrical panels and applying AI agents could reduce consumption by 10-30 % and that he is already testing this in his own house [87-92].
Blum emphasized that such energy-intelligence solutions can be scaled globally, turning the world more electric while improving efficiency, which he sees as essential for meeting the massive additional electricity demand projected through 2050 [67-72]. He concluded that India’s cost-competitiveness, engineering talent, and creativity make it the ideal place to develop the next wave of AI-enabled energy technologies, and success there will unlock solutions worldwide [94-99][106-108]. Finally, he expressed confidence that AI-driven energy intelligence will help solve the climate transition and that cracking the code in India will enable Schneider Electric to do the same everywhere [86][112].
Keypoints
Major discussion points
– AI is dramatically increasing energy demand.
Olivier Blum explains that AI “means more compute, more compute means more energy” and that this will put unprecedented pressure on the global energy system, a challenge that governments are already treating as a geopolitical priority. [21-24][28-30]
– Schneider Electric is shifting from supply-side to demand-side solutions and building “energy intelligence.”
After the Paris Agreement the company began emphasizing demand-side efficiency, and now, for the first time in its 190-year history, it can “connect the physical and the digital world” to make energy systems smarter and save 10-30 % of consumption across applications. [31-33][38-40][82-84][86-87]
– Rapid growth of data-center power use requires new infrastructure.
The speaker cites forecasts of >200 GW of new data-center capacity by 2030, with AI-driven loads pushing rack power from a few kilowatts to 80 kW in India and up to 150 kW (and potentially 500 kW-1 MW) in the US, driving the need for architectures such as 800-V DC systems. [51-60][61-65]
– India is positioned as a critical hub for Schneider’s innovation and scaling of AI-enabled energy solutions.
India hosts Schneider’s third-largest market, its biggest R&D centre (8,000 staff), the largest pool of software engineers, and offers a cost-competitive, highly innovative environment that can “crack the code” for the rest of the world. [94-103][104-106][108-111]
Overall purpose / goal
The discussion aims to underscore the urgent intersection of AI-driven compute growth and global energy challenges, present Schneider Electric’s strategic pivot toward demand-side efficiency and “energy intelligence,” and rally stakeholders-especially in India-to collaborate on innovative, scalable solutions that will make the world’s power system more sustainable and resilient.
Overall tone
The tone begins with a formal, congratulatory opening, moves into a serious, urgent warning about rising energy pressures from AI, then shifts to an optimistic, solution-focused narrative about Schneider’s capabilities and the transformative potential of AI-enabled energy intelligence. By the end, the tone becomes inspirational and forward-looking, highlighting India’s unique role as a catalyst for global change. The progression moves from celebratory → urgent → hopeful → inspirational.
Speakers
– Olivier Blum – Global CEO, Schneider Electric; expertise in energy efficiency, digital infrastructure, and AI’s impact on energy systems. (role stated in transcript)[S1]
– Speaker 1 – Event moderator/host (role inferred from context). No specific area of expertise mentioned. [S2]
Additional speakers:
– (none)
Speaker 1 opened the session by thanking Mr Schneider and formally introducing Mr Olivier Blum, Global CEO of Schneider Electric, noting that the company sits at the intersection of energy-efficiency and digital-infrastructure challenges amplified by AI-driven data-centre power use [1-5].
Blum congratulated the Indian government and summit participants, recounted his appointment as Managing Director of Schneider Electric India in 2007 and his arrival in 2008, and described the acute shortage of reliable power he witnessed then. He framed “access to reliable, clean electricity” as the planet’s biggest problem, a challenge that extends far beyond India to the whole world [6-13][15-18].
He explained that AI means more compute, and more compute means more energy, creating unprecedented pressure on power systems; governments are already treating energy as a geopolitical priority and AI will intensify that pressure [20-27].
Since the 2015 Paris Agreement, Schneider Electric has shifted from a historic supply-side focus to a demand-side strategy that leverages “energy-intelligence” to improve efficiency and support the climate transition [34-40][31-33].
Blum distinguished two phases of AI: (a) the massive new infrastructure-high-density data-centres and racks-that must be built for AI workloads, and (b) the subsequent, more exciting phase in which AI makes the energy system itself intelligent, enabling “energy-intelligence” solutions [70-73].
Industry forecasts call for >200 GW of new data-centre capacity by 2030, with roughly 50 % attributable to AI. Rack power levels have already risen from a few kW to about 80 kW in India and 150 kW in the United States, and future designs target 500 kW-1 MW per rack, putting huge strain on the grid [51-58][59-60]. The emerging 800-V DC architecture is highlighted as the electrical framework required for these next-generation data-centres [60-62].
The IEA projects that an additional ≈ 10 000 TWh of electricity will need to be added between 2024-2035 and a further ≈ 12 000 TWh between 2035-2050; current scenarios do not yet incorporate AI-driven demand, meaning the true requirement could be far higher [67-72].
For the first time in its 190-year history, Schneider can connect physical assets to digital data and apply foundational AI models, creating “energy-intelligence” that could save 10-30 % of consumption across applications [31-33][81-84][86-87]. The company’s acceleration began when it built its partnership with NVIDIA and is now collaborating on next-generation AI chips [55-57].
A concrete example is connecting residential electrical panels to the cloud, extracting usage data, and managing them with AI agents; this could cut household electricity use-the single largest consumption of electricity in the world-by 10-30 %, and Blum is already testing the concept in his own home [84-86][87-92].
India is presented as a critical hub for developing and scaling these solutions. It is Schneider’s third-largest market, hosts the company’s biggest R&D centre with 8 000 engineers (the largest pool of software engineers globally), and employs 40 000 staff, giving it a unique cost-competitive and talent-rich environment for innovating under intense equipment-pressure conditions [94-105][106-111][112].
Speaker 1 thanked Mr Blum for foregrounding the technology and the power-consumption facts, underscoring that AI’s compute growth will dramatically increase electricity demand and that Schneider Electric’s demand-side, data-driven approach-particularly through India’s innovation ecosystem-offers a pathway to mitigate that pressure while advancing climate-transition goals [113-115].
In summary, Schneider Electric sees AI-driven compute growth as both a challenge and an opportunity, and it is leveraging its Indian R&D hub to develop “energy-intelligence” solutions that could cut global electricity use by up to 30 %.
Thank you, Mr. Schneider, for your remarks. And ladies and gentlemen, I would like to welcome Mr. Olivier Blum, Global CEO, Schneider Electric. Schneider Electric sits at the intersection of two of the most pressing challenges of the AI era, energy efficiency and digital infrastructure. As data centers consume ever -growing share of global power, Olivier Blum is leading the company that is helping make that infrastructure sustainable. Please welcome the Global CEO of Schneider Electric, Mr. Olivier Blum.
Thank you very much. So, first of all, I’d like to congratulate the Prime Minister and the entire Indian government and all the associates for this beautiful event. This week has been tremendous. And that put together an ecosystem of stakeholders who are really moving technology to the next level. Now, I’d like to tell you a little bit about my own story. I landed in 2008. In 2007, in India, I was appointed at that point of time Managing Director of Schneider in India to develop Schneider Electric. And I discovered a country where the major issue was really access to power, access to reliable power. Now I am sitting in front of you, you know, I’m standing actually in front of you as a CEO of a global company, Schneider, almost 20 years later.
And guess what? What is the biggest problem of the planet? Access to reliable and clean power. So it’s not only the issue of India, it’s the issue of the worldwide planet. And we are just at the beginning of a new era because we are facing issues with access to power in many geographies. You heard many stories of problem of peak load in different geography, including the US where you have power cut. And we have not even started the era of AI. What AI changed to the world? AI means more compute, more compute means more energy. And we just don’t underestimate today. We don’t know exactly what is going to take, but that’s going to put the pressure on the energy system, which has nothing to do with what it is today.
So we know that energy is already a priority for government, for organizations everywhere in the world. It’s even a geopolitical topic. But we are entering a new era where AI could transform the planet. And since this morning, you have heard many, many speakers talking about how AI could impact our life, our businesses everywhere in the world. But the real question is, how we take the energy system to the next level and what AI can bring to make energy more efficient. So we do believe for a company like Schneider, it changed everything. Because we are the first time in the history of Schneider, after 190 years in the power sector, where we are at a point where we can connect the physical and the digital world.
And it was not possible before. Now, let me look back since 2015, what happened. In 2015, something very important happened in the world, which was the climate agreement, you know, the Paris Agreement, where… Well, I don’t know. The world has put a huge focus on energy. And if you remember at that point of time, a lot of people spent time on the supply, bringing clean energy everywhere in the world, which was great. But Schneider Electric was a very, very strong advocate to say, look, working on the supply is very important, but we have to spend even more time to work on the demand side, on how we make energy efficient. And guess what? In the past 10 years, companies like us, but not only, we’ve been really, really strong advocates that if we build a world which is more electric, if we build a world which is more electric and more digital, we might have a path really not only to decarbonize the planet, but to give access to energy everywhere in the world.
I think we’ve made good progress. We’ve made good progress, but it has been complicated because we faced a lot of resistance in the system. We faced resistance with poor grid actors. We faced resistance by companies implementing those new technologies. We know large companies don’t like necessarily to put all their data on the cloud. You know, they want to do it on purpose. Premise and so on. and so forth. But let’s make it clear, I don’t think all the technology we are ready everywhere in the world to make energy system much more efficient. So I think it has been a good journey in the sense that we’ve started really to electrify more and more in the world.
But I think we have just started to scratch the surface. Now, let me come to the topic of AI and the conference, and I will come back on energy. I’m sure you are aware that in any kind of report, we are talking about more than 200 gigawatts of capacity that needs to be built in data center in the next coming years, by 2030. We say usually that 50 % will be AI -driven, and we see the acceleration. For a company like Schneider, we see the acceleration since two years, and we started to see the acceleration when we built our partnership with NVIDIA, when we started really to understand the next generation of chips that will be used to NVIDIA.
For those who are not very familiar with what is a data center, we are talking, about a couple of years, about a couple of kilowatts per racks in the data center. Then we moved to 10, 20, 30. What we are building right now in India, it’s something which is already around 80 kilowatts per racks, even more. And what we are doing in the US right now with the GPU, which are available for NVIDIA, is already at 150. We are forcing a world with NVIDIA, where it can go to 500, to 1 megawatt. And that puts a tremendous pressure on the energy system that forces every single company to reinvent the energy system. I’m sure some of you have heard about the concept of 800 volt DCs, which are the new type of electrical architecture you will need to have for the data center of tomorrow that will be able to power the AI industry.
But again, I’m coming back. There is two phases of AI. There is one which is, there will be many, many new infrastructure that has to be built. But we have really to invent this next level of infrastructure to make sure that they can support what the AI would need. But the second part of the equation, which is even more exciting for me, is that probably we are entering in a new era where for the first time we can make energy more intelligent. But let’s be very realistic. There are a certain number of data from IEA which are telling that to support the global economy, the world will need another 10 ,000 terawatts of energy to be produced, of electricity to be produced between 2024 and 2035, and another 12 on top of that between 2035 and 2050.
When we are looking with our research team at Schneider Electric, we are building energy scenario. We believe that those scenarios don’t include what AI will bring to the planet. So the scenario in terms of electrification that you need for the planet is not about making usage more electrical and supporting the electrification of the planet for cars, for heat pumps, for electrification of process. What brings AI on top of that is another level of pressure on the energy system. And if you look at this conference, which has been great. We have learned a lot. We have spent a lot of time with great people. I’ve not heard enough about energy. And I’ve not heard enough about the need to make energy much more intelligent if you want to support the next AI journey.
Now, for a company like Schneider Electric, it’s really, really fascinating. We created the company 190 years ago. We have been a great company in the physical world. Ten years ago, and I mentioned the Paris Agreement, this is when we decided to make sure that every single asset that will connect, that will sell in the market, will have to be connectable. So we are entering a new era where all energy systems are connectable. And if we are able to apply all the great models, all the great foundational models, which have been built by a lot of partners with whom we are working, we can, for the first time in our history, connect the physical and the digital world.
And that’s what we call energy intelligence. And by doing so, we believe we can overcome many of the difficulties that we faced in the past 10 years to make energy systems more efficient. And by doing so, we believe we can overcome many of the difficulties that we faced in the past 10 years to make energy systems more efficient. That can eventually also solve one of the biggest problems of the planet, which is the climate transition. And by doing so, we believe we can overcome many of the difficulties that we faced in the past 10 years to make energy systems more efficient. because again it’s not only about clean energy it’s about more efficient and we believe we are entering in this new era where if we are able to connect system to collect data to apply foundational model that will connect the physical and the digital world we can save between 10 20 30 percent of energy consumption in every single application in the world and i’m just going to tell you and finish with one example think about your home you’re all sitting today in this conference or some of you are connected and while we are speaking there is a lot of energy consumption in your home tonight you will be back to your home you have an electrical panel somewhere in your home very likely your electrical panel is not connected today imagine a world tomorrow where every single connected if every single panel in the world electrical panel in a home will be connected imagine a world where you are able to extract data imagine a world where you can apply ai agent and where we can manage energy for you while you are not even in your home you can save again between 10, 20, 30 % of your energy consumption.
Actually, I can prove it. I’m testing it in my own home. So I’m telling you it works. Maybe you don’t know, but consumption of energy in home is the largest consumption of electricity in the world. So the good news, we are entering in a new era where we know that the world will be more electrical. And for the first time in our history, we can say that the world can become more electrical if we are able really to leverage the power of the new technology. And I will just finish by telling you that why I’m extremely pleased to be here in India, you know, almost 20 years after I started really my journey in this country, is because India has a lot of different factors which are very, very different than the rest of the world.
And what I’ve learned a lot by spending, you know, six years of my personal life in India, India is one of the countries where equipment is under tremendous pressure, more than in any other country. In the world. Point number two, India is an extremely cost -competitive country, where you need to bring the best innovation at the best price. Number three, the level of innovation. I know in India, some people say also Juga in India, but the level of creativity that you can have in India to create new systems that will solve the most complex problems of the planet can be done in this country. And when you look at the number of engineers you have in power, automation, digital, you have all the ingredients which are together at a point of time where we need to make AI a big transformation for the planet.
For a company like Schneider, I can tell you it’s not only words. India is the third largest country of Schneider Ethics in the world. This is the largest one in number of employees, 40 ,000 employees. You don’t know it, but this is the largest R &D center we have in the world with 8 ,000 employees. Largest number of software engineers. So I’m super excited because we are starting a new phase for the planet, a new technology revolution, which is called AI. where India can be the place where a lot of innovation starts with. I came to India, you know, 20 years ago where we are bringing a lot of product from outside. I think we are at a point of time where India can innovate the next technology that will make the world more efficient.
So we call that Schneider Electric Energy Intelligence. I’ve been very, very excited to be part of the summit. We’ve met a lot of people from government, from construction company, from technology company who have really this strong appetite to make sure that AI will bring progress for all and making sure that India can be at the center of that transformation. And I always say to my team, you know, because now I’m leading Schneider Electric globally, if you can crack the code in India, we’ll crack the code everywhere. Thank you very much.
Thank you so much, Mr. Bloom, for highlighting the technology. Thank you for highlighting all those facts which concern the power consumption. So far as AI is concerned,
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Event“Access to reliable, clean electricity is the planet’s biggest problem, extending beyond India to the whole world.”
The knowledge base explicitly states that the biggest problem of the planet is access to reliable and clean power and that it is a global issue, not limited to India [S1] and [S6].
“AI increases compute demand, which in turn raises energy consumption and puts unprecedented pressure on power systems; governments are treating energy as a geopolitical priority and AI will intensify that pressure.”
Sources note that the AI boom is triggering alarms in the energy sector, with data centres projected to consume a larger share of global electricity (about 3% by 2030) and creating mounting pressure on power infrastructure, supporting the claim of rising energy demand due to AI [S32] and [S19].
“Since the 2015 Paris Agreement, Schneider Electric has shifted from a historic supply‑side focus to a demand‑side strategy that leverages “energy‑intelligence” to improve efficiency and support the climate transition.”
The knowledge base highlights a broader industry consensus that a paradigm shift from supply-side infrastructure focus to demand-side, holistic approaches is needed, providing context for Schneider’s stated strategic shift [S46].
“Blum distinguished two phases of AI: (a) building massive new high‑density data‑centre infrastructure, and (b) using AI to make the energy system itself intelligent, enabling “energy‑intelligence” solutions.”
Other speakers describe the rapid evolution of data-centre rack power density-from traditional 10-20 kW racks to higher-density designs of 30-50 kW and the need for purpose-built facilities-supporting the first phase, while the concept of AI-enabled energy management aligns with the second phase [S7] and [S17].
“Rack power levels have already risen from a few kW to about 80 kW in India and 150 kW in the United States, with future designs targeting 500 kW‑1 MW per rack.”
The knowledge base reports that traditional racks handled 10-20 kW and are evolving to 30-50 kW, which is lower than the 80 kW and 150 kW figures cited; thus the reported current rack power levels appear overstated relative to the cited sources [S7].
The discussion shows clear alignment between the CEO and the moderator on the importance of energy demand and power‑consumption issues linked to AI. Beyond this, there is limited overlap on other themes such as demand‑side efficiency, energy intelligence, or India’s strategic role, which remain specific to Blum’s presentation.
Moderate consensus limited to the shared recognition of AI’s energy impact; this consensus underscores the urgency of integrating energy‑efficiency considerations into AI policy and industry strategies.
The exchange shows strong alignment on the importance of energy consumption in the AI era. Blum provides detailed technical and strategic arguments about AI‑driven compute growth, data‑center power density, and the need for energy‑intelligent solutions, while Speaker 1 simply acknowledges these points without contest. No substantive disagreement emerges from the transcript.
Minimal – the speakers are largely in consensus, with only a brief acknowledgment from Speaker 1 that does not challenge Blum’s positions. This suggests that, for the topics covered (energy impact of AI and the need for smarter energy management), the discussion is collaborative rather than contentious, facilitating a unified narrative on the challenges and opportunities.
The discussion pivots around a series of high‑impact statements that move from framing the core problem (global access to clean power) to exposing AI’s hidden energy cost, then to unveiling Schneider’s strategic response—Energy Intelligence. Each comment either introduces a new dimension (supply vs. demand, data‑center scaling, home‑level AI control) or reframes the geographic focus (India as an innovation hub). These turning points guide the audience from abstract concerns to concrete metrics and actionable visions, deepening the conversation and setting the stage for collaborative solutions.
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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