{"id":1789803,"date":"2026-02-24T09:30:53","date_gmt":"2026-02-24T06:30:53","guid":{"rendered":"https:\/\/analyse.optim.biz\/?p=1789803"},"modified":"2026-02-24T09:30:53","modified_gmt":"2026-02-24T06:30:53","slug":"digitalization-and-ai-jobs-on-the-brink","status":"publish","type":"post","link":"https:\/\/analyse.optim.biz\/?p=1789803","title":{"rendered":"Digitalization and AI: Jobs on the brink?"},"content":{"rendered":"

[analyse_image type=”featured” src=”https:\/\/static.dw.com\/image\/75822959_6.jpg”]<\/p>\n

\n
\n
\n
https:\/\/p.dw.com\/p\/58Llt<\/span><\/div>\n<\/section>\n
Germany’s new Industrial AI Cloud data center opened to much fanfare last weekImage: picture alliance\/dpa<\/small><\/figcaption><\/figure>\n
\n

Germany<\/a> launched a major artificial intelligence<\/a> (AI) project this month to cut its reliance on US providers of\u00a0high-performance\u00a0computing and data processing \u2014 a move seen as helping Europe to control its own AI future.<\/p>\n

The Industrial AI Cloud, backed by Deutsche Telekom<\/a>, was built in record time, taking\u00a0just six months to plan, build\u00a0and launch, compared with\u00a0the typical 12 to 24\u00a0months.<\/p>\n

The telecom firm\u00a0repurposed and modernized an existing facility in Munich’s Tucherpark, with\u00a0nearly 10,000 NVIDIA Blackwell GPUs \u2014 the high-end chips currently in global short supply. Telekom says the computing power is\u00a0sufficient for all 450 million EU\u00a0citizens using an AI assistant simultaneously.<\/p>\n

However, the Industrial AI Cloud isn’t aimed at individual consumers. Instead, it targets Germany’s industrial heavyweights, including automakers<\/a>, machinery manufacturers and robotics<\/a> companies.\u00a0It could also be a critical tool for research institutions, the public sector and firms developing AI applications.<\/p>\n

“We are investing in AI, in Germany as a business location and in Europe,”\u00a0Tim H\u00f6ttges, CEO of Deutsche Telekom, said of the launch.\u00a0“Our AI factory in Munich is the basis for innovative business models, for industry, start-ups …\u00a0the government \u2014\u00a0and for sovereignty. We are proving here that Europe can do AI.”<\/p>\n

\n

Digitalization and AI: Jobs on the brink?<\/h2>\n

Industrial AI taps into Germany’s core strengths<\/h2>\n

The new\u00a0project aligns directly with Germany’s broader Industrial AI<\/a> ambitions, tailoring AI to the country’s niche \u2014 manufacturing\u00a0 \u2014 rather than consumer-facing, where\u00a0the United States<\/a>\u00a0and China<\/a> have the clear lead.<\/p>\n

Antonio Kr\u00fcger, CEO of the German Research Center for Artificial Intelligence (DFKI), agrees that Industrial AI gives Germany a chance to play\u00a0catch-up, without the trillion-dollar investment gamble<\/a> by the world’s two largest economies.<\/p>\n

“Industrial AI allows Germany to play to its strengths: designing\u00a0smaller, specialized AI models that utilize more than a decade of data from Germany’s small and medium enterprises, known as the Mittelstand,”\u00a0Kr\u00fcger told DW.<\/p>\n

Germany’s Mittelstand, widely regarded as the backbone of the country\u2019s economy,\u00a0has\u00a0amassed years of highly specialized production, logistics, and machine-level data that is now invaluable for training industrial AI systems.<\/p>\n

Germany pitches ‘trustworthy AI’<\/h2>\n

The German strategy<\/a> is also\u00a0being framed as “trustworthy AI,”\u00a0turning the EU’s often-criticized AI Act<\/a> from a perceived drag\u00a0on innovation into a competitive advantage by giving manufacturers clear, enforceable rules for deploying safe, reliable systems.<\/p>\n

Kr\u00fcger added that if Germany can “build up an infrastructure that is trustworthy enough for\u00a0companies to hand over their data,\u00a0it will help us\u00a0stay competitive.”\u00a0<\/p>\n

The\u00a0focus on integrity underpins other major Industrial AI investments, including Siemens’<\/a>\u00a0expanded partnership with NVIDIA, announced at CES 2026,\u00a0to develop an Industrial AI Operating System. The company is also\u00a0embedding AI assistants across factory\u2011automation platforms.<\/p>\n

Bosch, meanwhile, is spending\u00a0$2.9 billion (\u20ac2.4 billion) to roll out\u00a0AI\u2011based technologies aimed at improving manufacturing quality control.<\/p>\n

Germany’s Economy Ministry projects that widespread AI adoption in industry could add at least one percentage point to annual real GDP growth starting this year.<\/p>\n

\n

Will AI laws protect us? EU AI Act explained <\/h2>\n

Leaders’\u00a0caution may slow AI rollout<\/h2>\n

Despite the huge potential of Industrial AI,\u00a0Germany faces a familiar obstacle in recapturing lost ground in the AI race \u2014 aversion\u00a0to risk. A common complaint about German business executives\u00a0is their slow and hesitant decision-making. In this instance, AI projects in Germany often get stuck in pilot mode.<\/p>\n

“German firms often\u00a0try\u00a0to make their AI products perfect before rolling them out,” Ishansh Gupta, BMW\u2019s<\/a> AI and digitalization lead, told DW. “China and the US roll out imperfect versions to help them improve, learning from user feedback.”<\/p>\n

The BMW executive thinks\u00a0Industrial AI will truly mature when German business leaders fully back the technology<\/a> and\u00a0once models deliver\u00a0causal insights, which industry watchers say\u00a0could be up to five years away.<\/p>\n

Today’s AI systems largely work by detecting statistical correlations in vast datasets. They spot\u00a0patterns and associations rather than understanding why things happen. This\u00a0limits their usefulness in complex industrial settings.<\/p>\n

In the\u00a0future, Industrial AI could help German manufacturers resolve much larger business crises,\u00a0like\u00a0unexpected supply issues, volatile energy prices, or the need to speed up new product launches.<\/p>\n

“Let’s say you want to work out how a strike in Poland could affect your supply chain,” Gupta said.\u00a0“With causal AI models, leaders could\u00a0test a change of suppliers, reallocation of capacity, or adjust\u00a0workforce planning to calculate the expected impact.”<\/p>\n

\"Robots
German carmakers are weaving AI into everything from design to productionImage: picture alliance \/ ASSOCIATED PRESS<\/small><\/figcaption><\/figure>\n

Industrial AI could help delay China’s advance<\/h2>\n

The Industrial AI strategy lands at a pivotal moment for Germany\u2019s economy. The country isn’t just trailing in the global AI race. Its manufacturing\u00a0base is also rapidly losing ground to China.<\/p>\n

China was for decades a bonanza for German producers, providing both a vast consumer market and the\u00a0cheap, reliable parts and raw materials that powered their rise.\u00a0But in 2025, German exports to China slipped to \u20ac81.8 billion ($97.2 billion), their lowest level in a decade, according to the German government’s statistics agency, Destatis.<\/p>\n

From a\u00a0peak in 2022, German exports to China have declined by nearly a quarter, led by a\u00a0sharp fall of 66%\u00a0in auto deliveries, the EU’s Eurostat data shows.\u00a0German manufacturers are\u00a0also facing intense rivalry from China in their other major export markets.<\/p>\n

A report published this month by the Rhodium\u00a0Group, the New York-based research house that specializes in China, warned that Berlin “needs to seize the controls, defining long-term industrial and technological priorities, in close coordination with industry, and putting the policies in place to deliver on them.”<\/p>\n

\"German
Merz told the World Economic Forum that Germany planned ‘industrial-scale’ AIImage: picture alliance \/ Xinhua News Agency<\/small><\/figcaption><\/figure>\n

Merz backs ambition with funding<\/h2>\n

Chancellor Friedrich Merz<\/a> last year\u00a0launched the country’s High-Tech Agenda, promising\u00a0\u20ac18 billion in funding before 2029.\u00a0It\u00a0prioritizes AI as one of six strategic technologies, alongside quantum computing, microelectronics, biotech, fusion\u00a0and climate-neutral mobility.<\/p>\n

“Artificial intelligence requires industrial scale,” Merz said in a speech at the World Economic Forum<\/a> in Davos last month. “Germany has one of the world\u2019s largest pools of industrial data. That is just one reason why we are investing in high-performance AI gigafactories, speeding up the expansion of data centers and creating the digital infrastructure for a competitive AI economy.”<\/p>\n

Germany’s new Industrial AI Cloud is already running at more than a third of its capacity, according to Deutsche Telekom. The platform has welcomed the\u00a0Munich-based Agile Robots, which fuses AI with robotics, and PhysicsX, a specialist in technical simulation that helps shorten product-development cycles.<\/p>\n

But while Industrial AI has the potential to help turn around\u00a0Germany’s fortunes, DFKI’s Kr\u00fcger thinks it may not be enough to prevent manufacturing decline in the long term.<\/p>\n

“Within\u00a0the next five to 10 years, industrial production will still play a big role [in the economy], but it will not be the most important sector,” he told DW. “Germany needs\u00a0to slowly transform into a service economy, especially digital services.”<\/p>\n

Edited by: Srinivas Mazumdaru<\/em><\/p>\n<\/div>\n<\/div>\n<\/article>\n

\n

Germany<\/a> launched a major artificial intelligence<\/a> (AI) project this month to cut its reliance on US providers of\u00a0high-performance\u00a0computing and data processing \u2014 a move seen as helping Europe to control its own AI future.<\/p>\n

The Industrial AI Cloud, backed by Deutsche Telekom<\/a>, was built in record time, taking\u00a0just six months to plan, build\u00a0and launch, compared with\u00a0the typical 12 to 24\u00a0months.<\/p>\n

The telecom firm\u00a0repurposed and modernized an existing facility in Munich’s Tucherpark, with\u00a0nearly 10,000 NVIDIA Blackwell GPUs \u2014 the high-end chips currently in global short supply. Telekom says the computing power is\u00a0sufficient for all 450 million EU\u00a0citizens using an AI assistant simultaneously.<\/p>\n

However, the Industrial AI Cloud isn’t aimed at individual consumers. Instead, it targets Germany’s industrial heavyweights, including automakers<\/a>, machinery manufacturers and robotics<\/a> companies.\u00a0It could also be a critical tool for research institutions, the public sector and firms developing AI applications.<\/p>\n

“We are investing in AI, in Germany as a business location and in Europe,”\u00a0Tim H\u00f6ttges, CEO of Deutsche Telekom, said of the launch.\u00a0“Our AI factory in Munich is the basis for innovative business models, for industry, start-ups …\u00a0the government \u2014\u00a0and for sovereignty. We are proving here that Europe can do AI.”<\/p>\n

\n

Digitalization and AI: Jobs on the brink?<\/h2>\n

Industrial AI taps into Germany’s core strengths<\/h2>\n

The new\u00a0project aligns directly with Germany’s broader Industrial AI<\/a> ambitions, tailoring AI to the country’s niche \u2014 manufacturing\u00a0 \u2014 rather than consumer-facing, where\u00a0the United States<\/a>\u00a0and China<\/a> have the clear lead.<\/p>\n

Antonio Kr\u00fcger, CEO of the German Research Center for Artificial Intelligence (DFKI), agrees that Industrial AI gives Germany a chance to play\u00a0catch-up, without the trillion-dollar investment gamble<\/a> by the world’s two largest economies.<\/p>\n

“Industrial AI allows Germany to play to its strengths: designing\u00a0smaller, specialized AI models that utilize more than a decade of data from Germany’s small and medium enterprises, known as the Mittelstand,”\u00a0Kr\u00fcger told DW.<\/p>\n

Germany’s Mittelstand, widely regarded as the backbone of the country\u2019s economy,\u00a0has\u00a0amassed years of highly specialized production, logistics, and machine-level data that is now invaluable for training industrial AI systems.<\/p>\n

Germany pitches ‘trustworthy AI’<\/h2>\n

The German strategy<\/a> is also\u00a0being framed as “trustworthy AI,”\u00a0turning the EU’s often-criticized AI Act<\/a> from a perceived drag\u00a0on innovation into a competitive advantage by giving manufacturers clear, enforceable rules for deploying safe, reliable systems.<\/p>\n

Kr\u00fcger added that if Germany can “build up an infrastructure that is trustworthy enough for\u00a0companies to hand over their data,\u00a0it will help us\u00a0stay competitive.”\u00a0<\/p>\n

The\u00a0focus on integrity underpins other major Industrial AI investments, including Siemens’<\/a>\u00a0expanded partnership with NVIDIA, announced at CES 2026,\u00a0to develop an Industrial AI Operating System. The company is also\u00a0embedding AI assistants across factory\u2011automation platforms.<\/p>\n

Bosch, meanwhile, is spending\u00a0$2.9 billion (\u20ac2.4 billion) to roll out\u00a0AI\u2011based technologies aimed at improving manufacturing quality control.<\/p>\n

Germany’s Economy Ministry projects that widespread AI adoption in industry could add at least one percentage point to annual real GDP growth starting this year.<\/p>\n

\n

Will AI laws protect us? EU AI Act explained <\/h2>\n

Leaders’\u00a0caution may slow AI rollout<\/h2>\n

Despite the huge potential of Industrial AI,\u00a0Germany faces a familiar obstacle in recapturing lost ground in the AI race \u2014 aversion\u00a0to risk. A common complaint about German business executives\u00a0is their slow and hesitant decision-making. In this instance, AI projects in Germany often get stuck in pilot mode.<\/p>\n

“German firms often\u00a0try\u00a0to make their AI products perfect before rolling them out,” Ishansh Gupta, BMW\u2019s<\/a> AI and digitalization lead, told DW. “China and the US roll out imperfect versions to help them improve, learning from user feedback.”<\/p>\n

The BMW executive thinks\u00a0Industrial AI will truly mature when German business leaders fully back the technology<\/a> and\u00a0once models deliver\u00a0causal insights, which industry watchers say\u00a0could be up to five years away.<\/p>\n

Today’s AI systems largely work by detecting statistical correlations in vast datasets. They spot\u00a0patterns and associations rather than understanding why things happen. This\u00a0limits their usefulness in complex industrial settings.<\/p>\n

In the\u00a0future, Industrial AI could help German manufacturers resolve much larger business crises,\u00a0like\u00a0unexpected supply issues, volatile energy prices, or the need to speed up new product launches.<\/p>\n

“Let’s say you want to work out how a strike in Poland could affect your supply chain,” Gupta said.\u00a0“With causal AI models, leaders could\u00a0test a change of suppliers, reallocation of capacity, or adjust\u00a0workforce planning to calculate the expected impact.”<\/p>\n

\"Robots
German carmakers are weaving AI into everything from design to productionImage: picture alliance \/ ASSOCIATED PRESS<\/small><\/figcaption><\/figure>\n

Industrial AI could help delay China’s advance<\/h2>\n

The Industrial AI strategy lands at a pivotal moment for Germany\u2019s economy. The country isn’t just trailing in the global AI race. Its manufacturing\u00a0base is also rapidly losing ground to China.<\/p>\n

China was for decades a bonanza for German producers, providing both a vast consumer market and the\u00a0cheap, reliable parts and raw materials that powered their rise.\u00a0But in 2025, German exports to China slipped to \u20ac81.8 billion ($97.2 billion), their lowest level in a decade, according to the German government’s statistics agency, Destatis.<\/p>\n

From a\u00a0peak in 2022, German exports to China have declined by nearly a quarter, led by a\u00a0sharp fall of 66%\u00a0in auto deliveries, the EU’s Eurostat data shows.\u00a0German manufacturers are\u00a0also facing intense rivalry from China in their other major export markets.<\/p>\n

A report published this month by the Rhodium\u00a0Group, the New York-based research house that specializes in China, warned that Berlin “needs to seize the controls, defining long-term industrial and technological priorities, in close coordination with industry, and putting the policies in place to deliver on them.”<\/p>\n

\"German
Merz told the World Economic Forum that Germany planned ‘industrial-scale’ AIImage: picture alliance \/ Xinhua News Agency<\/small><\/figcaption><\/figure>\n

Merz backs ambition with funding<\/h2>\n

Chancellor Friedrich Merz<\/a> last year\u00a0launched the country’s High-Tech Agenda, promising\u00a0\u20ac18 billion in funding before 2029.\u00a0It\u00a0prioritizes AI as one of six strategic technologies, alongside quantum computing, microelectronics, biotech, fusion\u00a0and climate-neutral mobility.<\/p>\n

“Artificial intelligence requires industrial scale,” Merz said in a speech at the World Economic Forum<\/a> in Davos last month. “Germany has one of the world\u2019s largest pools of industrial data. That is just one reason why we are investing in high-performance AI gigafactories, speeding up the expansion of data centers and creating the digital infrastructure for a competitive AI economy.”<\/p>\n

Germany’s new Industrial AI Cloud is already running at more than a third of its capacity, according to Deutsche Telekom. The platform has welcomed the\u00a0Munich-based Agile Robots, which fuses AI with robotics, and PhysicsX, a specialist in technical simulation that helps shorten product-development cycles.<\/p>\n

But while Industrial AI has the potential to help turn around\u00a0Germany’s fortunes, DFKI’s Kr\u00fcger thinks it may not be enough to prevent manufacturing decline in the long term.<\/p>\n

“Within\u00a0the next five to 10 years, industrial production will still play a big role [in the economy], but it will not be the most important sector,” he told DW. “Germany needs\u00a0to slowly transform into a service economy, especially digital services.”<\/p>\n

Edited by: Srinivas Mazumdaru<\/em><\/p>\n<\/div>\n

Germany<\/a> launched a major artificial intelligence<\/a> (AI) project this month to cut its reliance on US providers of\u00a0high-performance\u00a0computing and data processing \u2014 a move seen as helping Europe to control its own AI future.<\/p>\n

The Industrial AI Cloud, backed by Deutsche Telekom<\/a>, was built in record time, taking\u00a0just six months to plan, build\u00a0and launch, compared with\u00a0the typical 12 to 24\u00a0months.<\/p>\n

The telecom firm\u00a0repurposed and modernized an existing facility in Munich’s Tucherpark, with\u00a0nearly 10,000 NVIDIA Blackwell GPUs \u2014 the high-end chips currently in global short supply. Telekom says the computing power is\u00a0sufficient for all 450 million EU\u00a0citizens using an AI assistant simultaneously.<\/p>\n

However, the Industrial AI Cloud isn’t aimed at individual consumers. Instead, it targets Germany’s industrial heavyweights, including automakers<\/a>, machinery manufacturers and robotics<\/a> companies.\u00a0It could also be a critical tool for research institutions, the public sector and firms developing AI applications.<\/p>\n

“We are investing in AI, in Germany as a business location and in Europe,”\u00a0Tim H\u00f6ttges, CEO of Deutsche Telekom, said of the launch.\u00a0“Our AI factory in Munich is the basis for innovative business models, for industry, start-ups …\u00a0the government \u2014\u00a0and for sovereignty. We are proving here that Europe can do AI.”<\/p>\n

To view this video please enable JavaScript, and consider upgrading to a web browser that supports HTML5 video<\/a><\/p>\n

The new\u00a0project aligns directly with Germany’s broader Industrial AI<\/a> ambitions, tailoring AI to the country’s niche \u2014 manufacturing\u00a0 \u2014 rather than consumer-facing, where\u00a0the United States<\/a>\u00a0and China<\/a> have the clear lead.<\/p>\n

Antonio Kr\u00fcger, CEO of the German Research Center for Artificial Intelligence (DFKI), agrees that Industrial AI gives Germany a chance to play\u00a0catch-up, without the trillion-dollar investment gamble<\/a> by the world’s two largest economies.<\/p>\n

“Industrial AI allows Germany to play to its strengths: designing\u00a0smaller, specialized AI models that utilize more than a decade of data from Germany’s small and medium enterprises, known as the Mittelstand,”\u00a0Kr\u00fcger told DW.<\/p>\n

Germany’s Mittelstand, widely regarded as the backbone of the country\u2019s economy,\u00a0has\u00a0amassed years of highly specialized production, logistics, and machine-level data that is now invaluable for training industrial AI systems.<\/p>\n

The German strategy<\/a> is also\u00a0being framed as “trustworthy AI,”\u00a0turning the EU’s often-criticized AI Act<\/a> from a perceived drag\u00a0on innovation into a competitive advantage by giving manufacturers clear, enforceable rules for deploying safe, reliable systems.<\/p>\n

Kr\u00fcger added that if Germany can “build up an infrastructure that is trustworthy enough for\u00a0companies to hand over their data,\u00a0it will help us\u00a0stay competitive.”\u00a0<\/p>\n

The\u00a0focus on integrity underpins other major Industrial AI investments, including Siemens’<\/a>\u00a0expanded partnership with NVIDIA, announced at CES 2026,\u00a0to develop an Industrial AI Operating System. The company is also\u00a0embedding AI assistants across factory\u2011automation platforms.<\/p>\n

Bosch, meanwhile, is spending\u00a0$2.9 billion (\u20ac2.4 billion) to roll out\u00a0AI\u2011based technologies aimed at improving manufacturing quality control.<\/p>\n

Germany’s Economy Ministry projects that widespread AI adoption in industry could add at least one percentage point to annual real GDP growth starting this year.<\/p>\n

To view this video please enable JavaScript, and consider upgrading to a web browser that supports HTML5 video<\/a><\/p>\n

Despite the huge potential of Industrial AI,\u00a0Germany faces a familiar obstacle in recapturing lost ground in the AI race \u2014 aversion\u00a0to risk. A common complaint about German business executives\u00a0is their slow and hesitant decision-making. In this instance, AI projects in Germany often get stuck in pilot mode.<\/p>\n

“German firms often\u00a0try\u00a0to make their AI products perfect before rolling them out,” Ishansh Gupta, BMW\u2019s<\/a> AI and digitalization lead, told DW. “China and the US roll out imperfect versions to help them improve, learning from user feedback.”<\/p>\n

The BMW executive thinks\u00a0Industrial AI will truly mature when German business leaders fully back the technology<\/a> and\u00a0once models deliver\u00a0causal insights, which industry watchers say\u00a0could be up to five years away.<\/p>\n

Today’s AI systems largely work by detecting statistical correlations in vast datasets. They spot\u00a0patterns and associations rather than understanding why things happen. This\u00a0limits their usefulness in complex industrial settings.<\/p>\n

In the\u00a0future, Industrial AI could help German manufacturers resolve much larger business crises,\u00a0like\u00a0unexpected supply issues, volatile energy prices, or the need to speed up new product launches.<\/p>\n

“Let’s say you want to work out how a strike in Poland could affect your supply chain,” Gupta said.\u00a0“With causal AI models, leaders could\u00a0test a change of suppliers, reallocation of capacity, or adjust\u00a0workforce planning to calculate the expected impact.”<\/p>\n

The Industrial AI strategy lands at a pivotal moment for Germany\u2019s economy. The country isn’t just trailing in the global AI race. Its manufacturing\u00a0base is also rapidly losing ground to China.<\/p>\n

China was for decades a bonanza for German producers, providing both a vast consumer market and the\u00a0cheap, reliable parts and raw materials that powered their rise.\u00a0But in 2025, German exports to China slipped to \u20ac81.8 billion ($97.2 billion), their lowest level in a decade, according to the German government’s statistics agency, Destatis.<\/p>\n

From a\u00a0peak in 2022, German exports to China have declined by nearly a quarter, led by a\u00a0sharp fall of 66%\u00a0in auto deliveries, the EU’s Eurostat data shows.\u00a0German manufacturers are\u00a0also facing intense rivalry from China in their other major export markets.<\/p>\n

A report published this month by the Rhodium\u00a0Group, the New York-based research house that specializes in China, warned that Berlin “needs to seize the controls, defining long-term industrial and technological priorities, in close coordination with industry, and putting the policies in place to deliver on them.”<\/p>\n

Chancellor Friedrich Merz<\/a> last year\u00a0launched the country’s High-Tech Agenda, promising\u00a0\u20ac18 billion in funding before 2029.\u00a0It\u00a0prioritizes AI as one of six strategic technologies, alongside quantum computing, microelectronics, biotech, fusion\u00a0and climate-neutral mobility.<\/p>\n

“Artificial intelligence requires industrial scale,” Merz said in a speech at the World Economic Forum<\/a> in Davos last month. “Germany has one of the world\u2019s largest pools of industrial data. That is just one reason why we are investing in high-performance AI gigafactories, speeding up the expansion of data centers and creating the digital infrastructure for a competitive AI economy.”<\/p>\n

Germany’s new Industrial AI Cloud is already running at more than a third of its capacity, according to Deutsche Telekom. The platform has welcomed the\u00a0Munich-based Agile Robots, which fuses AI with robotics, and PhysicsX, a specialist in technical simulation that helps shorten product-development cycles.<\/p>\n

But while Industrial AI has the potential to help turn around\u00a0Germany’s fortunes, DFKI’s Kr\u00fcger thinks it may not be enough to prevent manufacturing decline in the long term.<\/p>\n

“Within\u00a0the next five to 10 years, industrial production will still play a big role [in the economy], but it will not be the most important sector,” he told DW. “Germany needs\u00a0to slowly transform into a service economy, especially digital services.”<\/p>\n

Edited by: Srinivas Mazumdaru<\/em><\/p>\n

[analyse_source url=”https:\/\/www.dw.com\/en\/industrial-ai-germanys-best-chance-to-take-on-us-china\/a-75871997″]<\/p>\n","protected":false},"excerpt":{"rendered":"

[analyse_image type=”featured” src=”https:\/\/static.dw.com\/image\/75822959_6.jpg”] https:\/\/p.dw.com\/p\/58Llt Germany’s new Industrial AI Cloud data center opened to much fanfare last weekImage: picture alliance\/dpa Germany launched a major artificial intelligence (AI) project this month to cut its reliance on US providers of\u00a0high-performance\u00a0computing and data processing \u2014 a move seen as helping Europe to control its own AI future. The Industrial […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[226,74],"class_list":["post-1789803","post","type-post","status-publish","format-standard","hentry","category-politics","tag-crawlmanager","tag-dw-com"],"_links":{"self":[{"href":"https:\/\/analyse.optim.biz\/index.php?rest_route=\/wp\/v2\/posts\/1789803","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/analyse.optim.biz\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/analyse.optim.biz\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/analyse.optim.biz\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/analyse.optim.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1789803"}],"version-history":[{"count":0,"href":"https:\/\/analyse.optim.biz\/index.php?rest_route=\/wp\/v2\/posts\/1789803\/revisions"}],"wp:attachment":[{"href":"https:\/\/analyse.optim.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1789803"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/analyse.optim.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1789803"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/analyse.optim.biz\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1789803"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}