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.<\/p>\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
Operational twins and carbon data to achieve net zero targets<\/p>\n
While marketing visibility often drives sports partnerships, this agreement builds on a technical foundation first formalised in January 2025. The elevation to \u201cPrincipal Partner\u201d involves Formula E adopting Google Cloud technologies for business-critical functions.<\/p>\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 allow the organisation to simulate and optimise site builds virtually.<\/p>\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
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
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
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
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
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
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
Using Google Cloud AI to enhance Formula E\u2019s data product<\/p>\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
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
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
Jeff Dodds, CEO of Formula E, said: \u201cOur 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
\u201cThe integration of Google Cloud\u2019s 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.\u201d<\/p>\n
Tara Brady, President of Google Cloud EMEA, added: \u201cFormula E is a hub of innovation, where milliseconds can define success. This expanded partnership is a testament to the power of Google Cloud\u2019s AI and data analytics, showing how our technology can deliver a competitive advantage in the most demanding scenarios.\u201d<\/p>\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
See also: Controlling AI agent sprawl: The CIO\u2019s guide to governance<\/p>\n
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\nThe post How Formula E uses Google Cloud AI to meet net zero targets appeared first on AI News.<\/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 [\u2026]<\/p>\n
The post How Formula E uses Google Cloud AI to meet net zero targets<\/a> appeared first on AI News<\/a>.<\/p>\n<\/div>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-container-style":"default","site-container-layout":"default","site-sidebar-layout":"default","disable-article-header":"default","disable-site-header":"default","disable-site-footer":"default","disable-content-area-spacing":"default","footnotes":""},"categories":[1,66,71,67,77,74],"tags":[3],"class_list":["post-819","post","type-post","status-publish","format-standard","hentry","category-ai-and-ml","category-ai-and-us","category-ai-business-strategy","category-ai-in-action","category-entertainment-media","category-environment-sustainability","tag-ai"],"yoast_head":"\n