Keynote by Marcus Wallenberg Chairman SEB & Saab
20 Feb 2026 16:00h - 17:00h
Keynote by Marcus Wallenberg Chairman SEB & Saab
Summary
Speaker 1 frames the discussion as a major step forward for an AI initiative, hoping it will follow the model of Prime Minister Modi’s strategy of mobilising Indian companies for long-term political goals [1-3]. He first outlines Sweden’s decade-long AI research programme, launched around 2015-2017 under the name WASP, which has built a strong basic-research base and now graduates roughly one PhD each week [8-10]. In contrast, India has not pursued a primarily R&D route but has developed a vast applied software-engineering and IT-services sector that serves a global customer base [13-15]. The speaker argues that these complementary strengths make Sweden and India well-suited for joint research and application projects, especially as India’s market momentum can amplify AI initiatives for its customers [16-18]. He notes that Swedish industry is dominated by multinational engineering firms, while India’s industrial structure differs, yet both can benefit from layering AI across the technology stack [21-24]. The urgency of this collaboration is heightened by the surge of cheap Chinese exports following the April 2 tariff changes, which threatens European and Swedish manufacturers [26-28]. To remain competitive, the speaker contends that diffusion of AI into large companies is essential, enabling them to compete on price and to develop new business models beyond mere cost efficiency [29-33][35-36]. He observes that India tends to have a more positive outlook on AI and digitisation than Europe, and highlights life-science applications such as accelerated drug-molecule discovery and personalised medicine as especially promising [38-45]. In the defence sector, he cites examples like Saab’s AI-enhanced radar systems and a 2025 test in which an AI agent fully controlled a Gripen aircraft, demonstrating AI’s strategic value [46-49][62]. The speaker also points to telecommunications, stating that future 5G and 6G networks will be largely AI-driven, which is crucial for handling the massive data flows societies will generate [66-67]. He concludes that AI will increasingly support both commercial efficiency and rapid product development across many domains [64-65]. Overall, the discussion emphasizes that leveraging Sweden’s research capacity together with India’s software expertise can strengthen competitiveness against low-cost rivals and drive transformative applications in health, defence, and communications [15-18][29-33][38-45][66-67]. The speaker therefore views AI diffusion as a pivotal factor for economic growth and societal resilience in the coming years [31-33][66-67].
Keypoints
– Sweden and India have complementary AI strategies: Sweden has built a strong R&D foundation with a decade-long national program, dedicated research arenas, and a PhD pipeline that now produces a graduate each week [8-12]. India, by contrast, has focused on applied software engineering through its large IT services sector, creating a vast global customer base [13-15]. This makes the two countries well-suited to collaborate, combining Sweden’s research depth with India’s implementation expertise [15-16].
– AI diffusion is seen as essential for industrial competitiveness, especially against cheap Chinese exports: The speaker notes that after recent tariff changes, a flood of low-priced Chinese products has pressured European firms [27-30]. While AI is not a panacea, embedding it across large companies is viewed as the key to staying competitive, enabling new business models, cost efficiency, and innovative services [31-36].
– Targeted AI applications are highlighted in life sciences, defense, and telecommunications: The speaker points to AI accelerating drug discovery, personalized medicine, and broader health services [40-45]; to AI-driven capabilities in defense systems such as radar-controlled aircraft and autonomous flight of the Gripen [46-63]; and to the future of 5G/6G networks being fundamentally AI-driven, handling massive data flows for society [66-67].
– A call for deeper Sweden-India collaboration on AI implementation: By leveraging Indian IT services to place AI “on top of the whole stack,” both nations can jointly address the competitive challenge posed by China and create new market opportunities [24-26].
Overall purpose/goal: The speaker aims to promote a joint Sweden-India AI initiative, arguing that combining Sweden’s research strengths with India’s applied software expertise will boost industrial competitiveness, drive innovation in key sectors, and position both countries advantageously in the global AI landscape.
Overall tone: The discussion is consistently optimistic and forward-looking, beginning with enthusiasm about the “big step forward” [1] and maintaining a constructive, solution-oriented tone. While acknowledging external pressures (e.g., Chinese price competition) [27-30], the speaker frames AI as a positive lever for growth rather than a source of alarm, ending on a hopeful note about AI-driven networks and societal benefits [66-67].
Speakers
– Speaker 1
– Role/Title:
– Area of Expertise:
Additional speakers:
– (none)
Speaker 1 opens the talk by describing the AI initiative as “a really big step forward” and expresses the hope that it will follow the model set by Prime Minister Narendra Modi, who mobilised Indian companies to achieve long-term political objectives [1-3].
He then turns to Sweden’s own AI journey. Sweden launched the WASP programme between 2015 and 2017; a decade later it continues to fund basic AI research and now graduates roughly one PhD per week [8-10]. This sustained effort has built a deep knowledge base that underpins Sweden’s industrial AI capabilities [11-12].
In contrast, the speaker notes that India has not pursued a primarily R&D-centric route. Instead, it has built a massive applied software-engineering and IT-services sector that serves a worldwide customer base, creating both a knowledge and a market platform for AI applications [13-15].
Because of these complementary strengths, the speaker argues that Sweden and India are well-suited for joint projects that combine Swedish research depth with Indian implementation expertise. He points out that Indian momentum can amplify AI initiatives for customers, offering a “fantastic possibility” to develop the programme effectively [15-18].
The industrial context is then outlined. Swedish industry is dominated by multinational engineering firms with a global scale [21], whereas India’s industrial structure differs. The key issue facing Swedish industry is that Indian IT-services expertise can be layered on top of the Swedish engineering stack, enabling AI diffusion across the whole technology stack [20-24].
A sense of urgency follows the discussion of recent geopolitical shifts. After the tariffs were imposed on 2 April (the “beautiful day in the Rose Garden”), we have seen a surge of very cheap Chinese exports entering world markets, creating a serious challenge for European and Swedish manufacturers [26-28]. The speaker asks how firms can compete with low-price Chinese products and argues that AI diffusion into large companies is essential to meet this challenge [29-30].
While acknowledging that AI is not a cure-all, he stresses that embedding AI throughout large enterprises will be “key” for future competitiveness. AI can deliver cost efficiency, enable new business models, and create novel services and products, thereby strengthening market positions [31-36].
The speaker highlights sector-specific opportunities. He observes that India tends to have a more positive outlook on AI and digitisation than Europe [38], and he identifies life sciences as a particularly promising field. AI can accelerate the discovery of new drug molecules, support personalised medicine based on individual test results, and ultimately provide treatments for patients currently underserved [40-45]. He also notes his board membership at AstraZeneca, a large British-Swedish pharmaceutical company [42].
In the defence arena, the speaker emphasizes that the sector is heavily AI-enabled, citing Saab’s use of AI for data-intensive radar-controlled aircraft and a 2025 test in which an AI agent flew a Gripen aircraft in full control [46-55].
Beyond defence, the speaker mentions broader industrial benefits, including robotics and faster product development, which together “support companies in terms of being much more efficient” and drive rapid innovation [64-65].
Looking ahead to telecommunications, he asserts that future 5G and 6G networks will be fundamentally AI-driven, handling the massive data flows that societies will generate. This point is reinforced by the remark from Mr. Ek Udden, chief technical officer of Ericsson, about AI-driven telecom networks [58-60][66-67][S41].
In conclusion, Speaker 1 calls for a deeper Sweden-India collaboration that leverages Sweden’s long-term R&D capacity and India’s applied software expertise. By doing so, both nations can enhance industrial competitiveness against low-cost rivals, foster transformative applications in health, defence and communications, and secure economic growth and societal resilience in the coming years [1-3][8-12][13-18][31-36][38-45][46-55][66-67].
It’s really a big step forward. I’ve followed Indian business for a long, long time, and the whole setup here reminds me of the way that Right Honourable Premier Modi set up his whole idea around making India with this tremendous force and getting the backing of very many Indian companies to achieve long -term political goals. So I really hope that the AI initiative will go the same way. I thought I would talk a little bit about three different matters. I’ll be relatively brief. I will start a little bit to talk about Sweden and India. I’ll talk a little bit about… AI diffusion and what’s important there and I’ll talk a little bit about some of the practical issues that we see from an industrial point of view what we can think about when it comes to AI so let me start taking you back in the Swedish context might be a reference point to what is going on here right now Sweden started its research a big research effort our family put in a program which is now ten years plus focusing on developing basic research in AI and we started that 2015 2017 we funded it with a major push into this and the reason for that was basically because we saw the automation needs and the autonomy needs of Swedish industry and industrial products It’s called WASP.
And not only do they have a number of arenas where they base a certain amount of typical research that you can use for AI, but also they started a school for PhDs and master’s students in AI. And today we graduate one PhD per week out of this program. So what does that mean for the Swedish context? That has been an extremely important part in terms of building the basic knowledge around AI and how you can use it. India, on the other hand, as I see it or as I perceive it, has not gone primarily the R &D route, but primarily the way to build this fantastic knowledge base in software engineering, which is much more applied, especially when you think about how…
India has worked with their IT services companies. developing a tremendous base in terms of customers, not only knowledge base, but also a customer base all around the world. So actually, from this point of view, India and Sweden should have a very good fit. And I think that some of us who are here on this trip in the Swedish delegation have seen the potential to work much closer with India along research lines and more application lines on the IT services and software knowledge that you have in this country. And as we know, when India starts moving, it’s a very major force. And you will, in my view, have a fantastic possibility to develop your initiative on AI in a very good way for your customers.
And that brings me a little bit into my… My second point. Namely, the whole question that we are dealing with from Swedish industry. You have to remember Swedish industry is to a large extent very much focused on multinational engineering companies that are having a global scale. India, of course, a different industrial structure. But here comes what I think is the big take where actually Sweden and India in more practical terms could work much closer with each other. Namely, the knowledge of the IT services companies putting an AI on top of the whole stack to be able to move this into a completely different position for these companies. So why is this important? This is important because what we’re witnessing today from an industrial point of view, not the least, after April 2nd, the beautiful day in the Rose Garden when all the tariffs were put on.
What we’ve seen since then is this widespread Chinese export of very cheap products into the world market, which is, of course, a big, big challenge for many companies in Europe and also in Sweden. This will be absolutely key for us in the future. How do we make sure that we can compete with Chinese and other companies, but primarily Chinese companies with very low prices? How do we make sure that we can compete on the world markets with them in a good way? I’m not saying AI is everything. But AI and the diffusion of AI into the real world of large companies will be key. Otherwise, we will not be able to do this in a smart way in years to come.
So therefore, I believe that also on this point, the whole competitiveness would be a very, very important part. But AI gives us more. AI gives us a huge possibility to move in and let the companies move into completely new areas in terms of business model, not only being cost efficient, but also in terms of providing new services and new products to the market. Here, I move into my third point. My third point is that we often, here in India, I think you have more of a positive way of thinking about AI and digitization, maybe, than Europe. But I tell you that when I look at certain industries and what is actually going on right now, it is a tremendous step forward.
And perhaps, and I sit on the board of AstraZeneca, which is a very large pharmaceutical company, British, Swedish based. And I would say that perhaps the most worthwhile app from AI going forward will be in life sciences. Not only life sciences in terms of providing better hospital services and so on. But when you think about how you will be able to use AI in getting new molecules in a much faster way. And when you think about how you will be able to use AI in getting new molecules in a much faster way. And when you think about how you will be able to apply more of personalized medicine based on your test results. you will be able to apply specialized treatment for people will mean that actually down the line we will provide medical needs to people that cannot be serviced today in the same way.
Then of course we look at things like robotics, but also another thing I would like to bring up is in the defense business. In defense material, AI will play a very significant role. We see it in many ways today, not the least when you start to accumulate and analyze data in a big way. For example, Saab, which is a Swedish defense company, is actually using radar aircraft where you need both for command and for control a tremendous amount of AI diffusion to really to be able to. But also on the other hand, we see that in the defense industry, we see that the defense industry is very much in the defense industry. We see that the defense industry is very much We see that the defense industry is very much in the defense industry.
We see that the defense industry is very much in the defense industry. We see that the defense industry is very much in the defense industry. We see that the defense industry is very much in the defense industry. We see that the defense industry is very much in the defense industry. We see that the defense industry is very much in the defense industry. We see that the defense industry is very much in the defense industry. We see that the defense industry is very much in the defense industry. very much in the defense industry. We see that the defense industry is very much in the defense industry. We see that the defense industry is very much in the defense industry.
We see that the defense which is actually divided in its software layer between both those that control the mission critical facts and those things that control the systems of the aircraft. In 2025, we actually applied an AI agent into the mission critical control and actually flew the Gripen aircraft with the AI agent in full control. So what is actually happening here is that on the one hand, you see these great abilities for AI to support companies in terms of being much more efficient, not only companies but also other governmental and other services coming through society. But on the other hand, you see these great abilities for AI to support companies in terms of being much more efficient, tremendous product development that is going on at a very, very high speed.
At the bottom line, I believe that we will see so much more of these examples coming through. And when I see Mr. Ek Udden here, who is the chief technical officer of Ericsson, I also remind myself that our future networks for 5G and 6G telecommunication will actually be, to a large extent, AI -driven and AI -focused. And this is, for societies, an extremely important point, that actually all these huge amounts of data that will go through societies, through the mobile networks in the future, will be completely supported by AI
“Sweden launched the WASP programme between 2015 and 2017; a decade later it continues to fund basic AI research and now graduates roughly one PhD per week.”
The knowledge base confirms that the Wallenberg AI, Autonomous Systems and Software Program (WASP) exists as a Swedish AI research institution and that it graduates one PhD per week [S4] and [S53].
“Sweden launched the WASP programme between 2015 and 2017; a decade later it continues to fund basic AI research and now graduates roughly one PhD per week.”
WASP is funded by the Knut and Alice Wallenberg Foundation and collaborates with Sweden’s five leading ICT universities, providing additional detail on its structure and support [S53].
Speaker 1 presented a series of arguments linking Sweden’s AI research capacity, India’s software services, and various sectoral applications of AI, but no other speakers are present in the transcript, so explicit inter‑speaker agreement cannot be identified. The speaker’s points are internally consistent, covering research infrastructure, industry collaboration, competitive pressures, and sector‑specific AI benefits.
Minimal consensus – only a single perspective is represented, limiting the ability to gauge broader agreement on the topics.
The transcript contains only a single speaker (Speaker 1) presenting a series of arguments without any opposing viewpoints. Consequently, there are no identifiable points of disagreement, partial agreement, or unexpected disagreement among speakers.
Minimal to none. The lack of multiple participants means the discussion is unified around the speaker’s perspective, implying smooth consensus on the topics addressed.
Speaker 1’s remarks acted as a series of pivots that progressively deepened the discussion. Starting with a comparative analysis of Swedish and Indian AI strategies, the speaker introduced a collaborative vision that was then reframed by geopolitical competition with China, followed by high‑impact application domains in health, defense, and telecommunications. Each turning point not only introduced a fresh topic but also altered the tone—from optimistic partnership to strategic urgency, to visionary possibilities—thereby steering the audience toward a multidimensional view of AI’s role in industry, security, and society.
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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