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Europe should focus on industrial AI, SAP says
Walldorf (Germany) (AFP) - Europe should focus on competing in industrial AI, a top executive at German software giant SAP said, as the continent plays catch-up in the race for the cutting-edge technology against the United States and China. Artificial intelligence for use in industry is "where I believe Europe can succeed big time around the globe", Thomas Saueressig, a board member at the continent's biggest software maker, told AFP in an interview. This was because of "the industrial knowledge and the industrial data and competency we have in Europe", he said at the company's headquarters in Walldorf, southwest Germany. Europe is seen as lagging behind the world's top two economies in the strategic sector: the US with major players from OpenAI to Google, and China, which has a buzzing AI scene and hosts influential labs such as DeepSeek. But fraying ties with Beijing, which Europe accuses of engaging in unfair trade practices, and the United States under President Donald Trump have given the continent fresh impetus to step up its efforts. Industrial AI applications are typically smaller and less energy-intensive than the large models produced by major players, and designed for specific tasks that could range from developing construction plans to optimising electrical wiring in devices. That is where "we can differentiate ourselves in Europe" by "leveraging the industrial expertise, the data expertise for specific models", said Saueressig, SAP's chief customer officer. "We don't need to think about only the large language models, we also need to talk about the specific industry models." 'New potential' High-tech processes are nothing new on factory floors but AI promises to turbocharge them, and there are already signs efforts are being ramped up in Germany, Europe's biggest economy. Last week, auto giant BMW unveiled a pilot project to deploy two AI-powered humanoid robots in a German factory this year to help in the production process. "Advances in AI system performance unlock new potentials for automation," said Milan Nedeljkovic, who is BMW's head of production and is set to take over as CEO in May. The carmaker has been building up its AI capabilities for some time and was moving "towards autonomous AI which can be used in manufacturing to take its own decisions", Nedeljkovic told journalists, including from AFP, in Munich. German telecoms giant Deutsche Telekom and US chip juggernaut Nvidia recently launched an industrial AI hub aimed at helping European companies use the technology in processes ranging from design to robotics. The hub says it offers a "sovereign AI platform" that can reduce "risky dependencies" on Chinese and US tech. Europe's drive to boost its AI capabilities ties in with broader efforts to ensure "digital sovereignty", by dialling back a heavy reliance in particular on US tech giants and ensuring Europeans' data is stored safely at home. Saueressig said SAP, which makes a wide range of business software, had seen "exponentially increased demand" for products that guarantee "digital sovereignty". But the executive, who oversees the group's cloud computing operations, said some concerns about reliance on US tech were "overdone" and urged Europe to focus on producing world class technology so it could compete globally. AI disruption SAP has faced worries that new AI products could threaten its business, with its share price falling heavily in recent months. But Saueressig says the group, which has been developing AI tools for its clients, can benefit as the technology provides "growth opportunities and more value for our customers". Europe faces many challenges when it comes to building up its industrial AI offerings, experts warn. These range from lower data centre computing power compared with the US and China, challenges in the field from manufacturing powerhouse China, and a lack of funding for promising start-ups. Despite the challenges, the continent has plenty of opportunity and the AI race is in its early stages, said Antonio Krueger, head of the German Research Centre for Artificial Intelligence (DFKI). "We don't know exactly where this will end and when it will end," he told AFP. "It is not justifiable to claim that the race has been lost."
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SAP Urges Europe to Lead in Industrial AI Amid Global Competition
Europe should focus on competing in industrial AI, a top executive at German software giant SAP said, as the continent plays catch-up in the race for the cutting-edge technology against the United States and China. Artificial intelligence for use in industry is "where I believe Europe can succeed big time around the globe", Thomas Saueressig, a board member at the continent's biggest software maker, told AFP in an interview. This was because of "the industrial knowledge and the industrial data and competency we have in Europe", he said at the company's headquarters in Walldorf, southwest Germany. Europe is seen as lagging behind the world's top two economies in the strategic sector: the US with major players from OpenAI to Google, and China, which has a buzzing AI scene and hosts influential labs such as DeepSeek. But fraying ties with Beijing, which Europe accuses of engaging in unfair trade practices, and the United States under President Donald Trump have given the continent fresh impetus to step up its efforts. Industrial AI applications are typically smaller and less energy-intensive than the large models produced by major players, and designed for specific tasks that could range from developing construction plans to optimising electrical wiring in devices. That is where "we can differentiate ourselves in Europe" by "leveraging the industrial expertise, the data expertise for specific models", said Saueressig, SAP's chief customer officer. "We don't need to think about only the large language models, we also need to talk about the specific industry models." New potential High-tech processes are nothing new on factory floors but AI promises to turbocharge them, and there are already signs efforts are being ramped up in Germany, Europe's biggest economy. Last week, auto giant BMW unveiled a pilot project to deploy two AI-powered humanoid robots in a German factory this year to help in the production process. "Advances in AI system performance unlock new potentials for automation," said Milan Nedeljkovic, who is BMW's head of production and is set to take over as CEO in May. The carmaker has been building up its AI capabilities for some time and was moving "towards autonomous AI which can be used in manufacturing to take its own decisions", Nedeljkovic told journalists, including from AFP, in Munich. German telecoms giant Deutsche Telekom and US chip juggernaut Nvidia recently launched an industrial AI hub aimed at helping European companies use the technology in processes ranging from design to robotics. The hub says it offers a "sovereign AI platform" that can reduce "risky dependencies" on Chinese and US tech. Europe's drive to boost its AI capabilities ties in with broader efforts to ensure "digital sovereignty", by dialling back a heavy reliance in particular on US tech giants and ensuring Europeans' data is stored safely at home. Saueressig said SAP, which makes a wide range of business software, had seen "exponentially increased demand" for products that guarantee "digital sovereignty". But the executive, who oversees the group's cloud computing operations, said some concerns about reliance on US tech were "overdone" and urged Europe to focus on producing world class technology so it could compete globally. AI disruption SAP has faced worries that new AI products could threaten its business, with its share price falling heavily in recent months. But Saueressig says the group, which has been developing AI tools for its clients, can benefit as the technology provides "growth opportunities and more value for our customers". Europe faces many challenges when it comes to building up its industrial AI offerings, experts warn. These range from lower data centre computing power compared with the US and China, challenges in the field from manufacturing powerhouse China, and a lack of funding for promising start-ups. Despite the challenges, the continent has plenty of opportunity and the AI race is in its early stages, said Antonio Krueger, head of the German Research Centre for Artificial Intelligence (DFKI). "We don't know exactly where this will end and when it will end," he told AFP. "It is not justifiable to claim that the race has been lost."
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SAP board member Thomas Saueressig argues Europe can dominate industrial AI by focusing on specialized AI applications rather than large language models. The software giant points to Europe's industrial knowledge and data expertise as key competitive advantages, even as the continent faces challenges including lower data center computing power and limited funding for start-ups.
Europe should concentrate its efforts on industrial AI rather than competing directly with US tech giants and Chinese labs in large language models, according to Thomas Saueressig, a board member at SAP, the continent's largest software giant. Speaking from the company's headquarters in Walldorf, southwest Germany, Saueressig told AFP that industrial AI is "where I believe Europe can succeed big time around the globe" due to Europe's industrial knowledge and data competency
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. This strategic pivot comes as Europe trails behind the United States, home to major players like OpenAI and Google, and China, which hosts influential labs such as DeepSeek in the global AI competition2
.
Source: France 24
SAP's chief customer officer emphasized that specialized AI applications offer a distinct path forward for Europe in the AI race. These industrial AI tools are typically smaller and less energy-intensive than the massive models developed by major tech companies, designed instead for specific tasks ranging from developing construction plans to optimizing electrical wiring in devices
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. "We don't need to think about only the large language models, we also need to talk about the specific industry models," Saueressig stated, highlighting how Europe can differentiate itself by leveraging industrial expertise and data expertise for specific models2
. Fraying ties with Beijing over unfair trade practices and tensions with the United States under President Donald Trump have given the continent fresh impetus to accelerate its AI efforts.
Source: ET
Signs of momentum are already visible across factory floors in Germany, Europe's biggest economy. Auto giant BMW recently unveiled a pilot project to deploy two AI-powered humanoid robots in a German factory this year to assist in the production process. Milan Nedeljkovic, BMW's head of production who is set to become CEO in May, explained that "advances in AI system performance unlock new potentials for automation"
1
. The carmaker is moving towards autonomous AI that can make its own decisions in manufacturing2
. Meanwhile, Deutsche Telekom and Nvidia recently launched an industrial AI hub designed to help European companies integrate the technology into processes spanning design to robotics. The Deutsche Telekom/Nvidia industrial AI hub promotes a "sovereign AI platform" aimed at reducing risky dependencies on Chinese and US tech1
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Europe's push to strengthen its AI capabilities aligns with broader digital sovereignty goals, reducing heavy reliance on US tech giants and ensuring European data remains stored domestically. Saueressig, who oversees SAP's cloud computing operations, reported seeing "exponentially increased demand" for products that guarantee digital sovereignty
2
. However, he cautioned that some concerns about dependence on US technology are "overdone" and urged Europe to focus on producing world-class technology capable of competing globally1
.Europe faces substantial obstacles in building its industrial AI offerings, including lower data centre computing power compared with the US and China, competition from manufacturing powerhouse China, and insufficient funding for promising start-ups
2
. SAP itself has confronted worries about AI disruption threatening its business model, with its share price falling heavily in recent months. Yet Saueressig maintains the technology presents "growth opportunities and more value for our customers" as SAP develops AI tools for its clients1
. Antonio Krueger, head of the German Research Centre for Artificial Intelligence (DFKI), offers a measured perspective: "We don't know exactly where this will end and when it will end. It is not justifiable to claim that the race has been lost" .Summarized by
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