{"id":10704,"date":"2023-11-07T11:11:20","date_gmt":"2023-11-07T09:11:20","guid":{"rendered":"https:\/\/escp.eu\/thechoice\/?p=10704"},"modified":"2024-11-25T15:46:17","modified_gmt":"2024-11-25T13:46:17","slug":"ai-who-will-win-on-this-new-geopolitical-battleground","status":"publish","type":"post","link":"https:\/\/escp.eu\/thechoice\/tl-dr\/ai-who-will-win-on-this-new-geopolitical-battleground\/","title":{"rendered":"AI: Who will win on this new geopolitical battleground?"},"content":{"rendered":"\n<p class=\"has-drop-cap has-medium-font-size\"><em>Artificial intelligence, which is driving the fourth industrial revolution, is inseparable from geopolitics, and several world powers are vying for the lead. But what exactly are they competing for? Let&#8217;s take a closer look at the four key resources driving technological \u2013 and ultimately, geopolitical \u2013 advances.&nbsp;<\/em><\/p>\n\n\n\n<p>Back in September 2017, Elon Musk, the founder of SpaceX and Tesla, <a href=\"https:\/\/twitter.com\/elonmusk\/status\/904638455761612800?s=20&amp;t=NHJWBQ1hCh2j4yyqMo_SJA\" target=\"_blank\" rel=\"noreferrer noopener\">tweeted<\/a>: \u201cChina, Russia, soon all countries w strong computer science. Competition for AI superiority at national level most likely cause of WW3 imo\u201d. World War Three may not have broken out (yet?), but neither does artificial intelligence (AI) form a purely scientific domain, detached from material concerns or geopolitics. <mark>On the contrary, it is an essential topic of national strategy and <a href=\"https:\/\/escp.eu\/thechoice\/tomorrow-choices\/generative-artificial-intelligence-how-do-we-mitigate-the-extreme-risks\/\">security<\/a>.<\/mark><\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>Europe is lagging behind, its AI companies dwarfed by the GAFA giants<\/p>\n<\/blockquote>\n\n\n\n<p>In the <a href=\"https:\/\/academ.escpeurope.eu\/pub\/IP%20N%C2%B02022-08-EN.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">impact paper<\/a> I wrote for ESCP Business School\u2019s <a href=\"https:\/\/escp.eu\/faculty-research\/erim\/Impact-Papers\/Geopolitics-and-Global-Business-Impact\" target=\"_blank\" rel=\"noreferrer noopener\"><em>Geopolitics and global business impact<\/em><\/a> series, I explain that the development of the AI industry is disparate across various nations. Unsurprisingly, the world&#8217;s major economic and political powerhouses are taking the lead, but they enjoy different competitive advantages. The US has cutting-edge hardware, research and talents, while China has a vast market and AI-ready data at its disposal. Clearly displaying its geopolitical ambitions, China has made the <a href=\"https:\/\/thediplomat.com\/2021\/04\/chinas-digital-silk-road-and-the-global-digital-order\/\" target=\"_blank\" rel=\"noreferrer noopener\">Digital Silk Road<\/a> a key aspect of its Belt and Road Initiative and is investing significantly in the uncharted \u201cBlue Ocean\u201d of the African continent. Meanwhile, Europe is lagging behind, its AI companies dwarfed by the GAFA giants, each worth close to $1 trillion.<\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>For countries aiming to become a global AI leader, the four following aspects are most strategic:<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\" type=\"1\">\n<li><strong>Talent<\/strong><\/li>\n<\/ol>\n\n\n\n<p>So far, the US is the winner in the war for talent, with a pool of AI researchers numbering roughly 78,000 \u2013 twice as many as China.<\/p>\n\n\n\n<p>Examining the dynamics of this resource, Jean-Fran\u00e7ois Gagn\u00e9&#8217;s <a href=\"https:\/\/www.elementai.com\/press-room\/element-ai-founder-releases-2020-global-ai-talent-report\" target=\"_blank\" rel=\"noreferrer noopener\"><em>Global AI Talent Report<\/em><\/a> distinguishes \u201cproducer countries\u201d with strong outflows (India, Israel) from \u201canchored countries\u201d with stable talent pools (Japan, Russia), \u201cplatform countries\u201d with high flows both ways (the UK, China and Canada) and \u201cinviting countries\u201d with strong inflows (the US and France).<\/p>\n\n\n\n<p>How can governments attract and retain talents from abroad? Through liberal immigration policies targeting skilled workers, as Canada, Australia and the UK have set up, as well as with top-tier research laboratories and internationally-recognized educational institutions, as in the US.<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"2\">\n<li><strong>&nbsp;Data<\/strong><\/li>\n<\/ol>\n\n\n\n<p>Data may be the new fuel powering AI, but they are of direct use only after having been properly organised, processed, cleansed and analysed \u2013 which requires analysing techniques. For instance, ubiquitous online photos became valuable once computer vision and deep learning techniques matured.<\/p>\n\n\n\n<p>Is Europe shooting itself in the foot with its strict data privacy regulation (GDPR)? In the global geopolitical battle, it risks falling behind the US and China, where the local tech giants (respectively Google, Amazon, Facebook, Apple, Microsoft, IBM and Baidu, Huawei, Alibaba, Tencent, Xiaomi) are able to massively collect and analyse data to offer their users targeted products and services.<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li><strong>&nbsp;Microchips<\/strong><\/li>\n<\/ol>\n\n\n\n<p>Specialised AI chips are essential for deploying AI at scale. In that domain, the US and its allies dominate production by dominating the design of AI chips, though China is investing heavily and likely to catch up. Still, neither giant can maintain a full supply chain on its own and still relies on South Korea, Japan and Taiwan for contract manufacturing. The EU has seen its share of the chip market drop from 40% in the 1990&#8217;s to less than 10% nowadays, and is unlikely to regain an edge.<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li><strong>&nbsp;Energy consumption<\/strong><\/li>\n<\/ol>\n\n\n\n<p>The ever-growing energy consumption required to run and improve AI is downright shocking. For example, training the MegatronLM language model <a href=\"https:\/\/www.techtarget.com\/searchenterpriseai\/feature\/Energy-consumption-of-AI-poses-environmental-problems\" target=\"_blank\" rel=\"noreferrer noopener\">consumed 27,648 kilowatt hours in nine days<\/a>, almost three times the average annual consumption of a US household. Governments cannot afford to overlook the issue of energy consumption, which is a major factor of climate change, and must cooperate to develop a more sustainable AI ecosystem.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Hao (Howard) Zhong takes a close look at the four key resources driving technological \u2013 and ultimately, geopolitical \u2013 advances.<\/p>\n","protected":false},"author":1,"featured_media":10705,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[15],"tags":[126,62,27],"class_list":["post-10704","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tl-dr","tag-artificial-intelligence","tag-innovation","tag-tech","category-15","description-off"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AI: Who will win on this new geopolitical battleground? - The Choice by ESCP<\/title>\n<meta name=\"description\" content=\"Artificial intelligence, which is driving the fourth industrial revolution, is inseparable from geopolitics, and several world powers are vying for the lead. 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