{"id":111830,"date":"2026-01-26T14:38:53","date_gmt":"2026-01-26T14:38:53","guid":{"rendered":"https:\/\/www.artificialintelligence-news.com\/?p=111830"},"modified":"2026-01-26T14:38:54","modified_gmt":"2026-01-26T14:38:54","slug":"how-formula-e-uses-google-cloud-ai-to-meet-net-zero-targets","status":"publish","type":"post","link":"https:\/\/www.artificialintelligence-news.com\/news\/how-formula-e-uses-google-cloud-ai-to-meet-net-zero-targets\/","title":{"rendered":"How Formula E uses Google Cloud AI to meet net zero targets"},"content":{"rendered":"\n

Formula E<\/a> is using Google Cloud<\/a> AI to meet its net zero targets by driving efficiency across its global logistics and commercial operations. As part of an expanded multi-year agreement, the electric racing series will integrate Gemini models into its ecosystem to support performance analysis, back-office workflows, and event logistics.<\/p>\n\n\n\n

The collaboration demonstrates how sports organisations are utilising cloud infrastructure to drive tangible business outcomes, rather than just securing surface-level sponsorship. The partnership focuses on optimising business operations, ranging from race management to the fan experience.<\/p>\n\n\n\n

Operational twins and carbon data to achieve net zero targets<\/h3>\n\n\n\n

While marketing visibility often drives sports partnerships, this agreement builds on a technical foundation first formalised in January 2025. The elevation to “Principal Partner” involves Formula E adopting Google Cloud technologies for business-critical functions.<\/p>\n\n\n\n

The immediate application involves optimising the complex logistics of a global championship. Advanced AI modelling of the back office and the creation of race and event digital twins<\/a> allow the organisation to simulate and optimise site builds virtually.<\/p>\n\n\n\n

This application directly affects Scope 3 emissions. The capability to plan infrastructure virtually minimises the need for physical on-site reconnaissance and reduces the transport of heavy equipment.<\/p>\n\n\n\n

For a championship that is the only sport-certified net zero carbon entity since inception, maintaining this status requires finding efficiencies in the supply chain. The digital twin approach delivers a quantifiable reduction in the operational carbon footprint while maintaining performance.<\/p>\n\n\n\n

Beyond logistical modelling, the Google Cloud AI partnership extends into the workforce productivity layer. Formula E is deploying Google Workspace with Gemini AI to enable greater agility and efficiency across its organisation.<\/p>\n\n\n\n

The organisation intends to use these tools to accelerate performance and deliver faster operations. This reflects a broader trend where generative AI tools are provisioned to reduce administrative latency in distributed workforces.<\/p>\n\n\n\n

The viability of these implementations to achieve net zero targets is supported by previous collaborative projects. Formula E recently utilised Google\u2019s AI Studio and Gemini models to execute the \u2018Mountain Recharge\u2019 initiative.<\/p>\n\n\n\n

Engineers used the models to map an optimal route for the GENBETA car during a mountain descent. The AI identified and analysed specific braking zones, calculating the necessary regenerative braking required to harvest enough energy to complete a full lap of the Monaco circuit subsequently.<\/p>\n\n\n\n

This specific use case demonstrates how high-dimensional data \u2013 including topography, friction, and energy consumption \u2013 can be processed to define physical execution.<\/p>\n\n\n\n

Using Google Cloud AI to enhance Formula E\u2019s data product<\/h3>\n\n\n\n

The partnership also addresses the commercial requirement to retain and grow a digital audience. Formula E has integrated a \u2018Strategy Agent\u2019 into its live broadcasts. This tool processes real-time data to provide viewers with tailored insights and predictions regarding race strategy and driver performance.<\/p>\n\n\n\n

Millions of viewers have utilised these insights, which explain complex race dynamics as they unfold. This mirrors the enterprise challenge of observability (i.e. taking vast streams of real-time technical data and synthesising them into understandable narratives for stakeholders.)<\/p>\n\n\n\n

Beyond helping to achieve net zero targets, the leadership at both organisations frames this expansion as a necessary evolution of their technical stack.<\/p>\n\n\n\n

Jeff Dodds, CEO of Formula E, said: “Our expanded partnership with Google Cloud is a true game-changer for Formula E and for motorsport as a whole. We are already pushing the boundaries of technology in sport, and this Principal Partnership confirms our vision.<\/p>\n\n\n\n

\u201cThe integration of Google Cloud’s AI capabilities will unlock a new dimension of real-time performance optimisation and strategic decision-making, both for the Championship and for our global broadcast audience. This collaboration will redefine how fans experience our races and set a new benchmark for technology integration in sport worldwide.”<\/p>\n\n\n\n

Tara Brady, President of Google Cloud EMEA, added: “Formula E is a hub of innovation, where milliseconds can define success. This expanded partnership is a testament to the power of Google Cloud’s AI and data analytics, showing how our technology can deliver a competitive advantage in the most demanding scenarios.”<\/p>\n\n\n\n

The progression from the initial partnership in January 2025 to this expanded scope suggests the pilot programs provided sufficient ROI to warrant a broader rollout. As organisations face pressure to balance performance with net zero targets, the use of virtual simulation to optimise physical deployment remains a high-value area for investment.<\/p>\n\n\n\n

See also: <\/strong>Controlling AI agent sprawl: The CIO\u2019s guide to governance<\/strong><\/a><\/p>\n\n\n\n

\"Banner<\/a><\/figure>\n\n\n\n

Want to learn more about AI and big data from industry leaders?<\/strong> Check out AI & Big Data Expo<\/a> taking place in Amsterdam, California, and London. The comprehensive event is part of TechEx<\/a> and is co-located with other leading technology events including the Cyber Security & Cloud Expo<\/a>. Click here<\/a> for more information.<\/p>\n\n\n\n

AI News is powered by TechForge Media<\/a>. Explore other upcoming enterprise technology events and webinars here<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

Formula E is using Google Cloud AI to meet its net zero targets by driving efficiency across its global logistics and commercial operations. As part of an expanded multi-year agreement, the electric racing series will integrate Gemini models into its ecosystem to support performance analysis, back-office workflows, and event logistics. The collaboration demonstrates how sports […]<\/p>\n","protected":false},"author":1570,"featured_media":111832,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[3333,3350,3335,3362,3340,3336],"tags":[3147,3148,324,3310,954,3716,686,3717,2048,2556],"ppma_author":[2401],"class_list":["post-111830","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-and-us","category-ai-business-strategy","category-ai-in-action","category-entertainment-media","category-environment-sustainability","category-inside-ai","tag-agentic-ai","tag-agents","tag-cloud","tag-digital-twins","tag-enterprise","tag-formula-e","tag-google-cloud","tag-net-zero","tag-strategy","tag-sustainability"],"acf":[],"yoast_head":"\nHow Formula E uses Google Cloud AI to meet net zero targets<\/title>\n<meta name=\"description\" content=\"Formula E is using Google Cloud AI to meet its 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