{"id":16991,"date":"2026-01-26T14:44:21","date_gmt":"2026-01-26T14:44:21","guid":{"rendered":"https:\/\/ideainthebox.com\/index.php\/2026\/01\/26\/how-formula-e-uses-google-cloud-ai-to-meet-net-zero-targets\/"},"modified":"2026-01-26T14:44:21","modified_gmt":"2026-01-26T14:44:21","slug":"how-formula-e-uses-google-cloud-ai-to-meet-net-zero-targets","status":"publish","type":"post","link":"https:\/\/ideainthebox.com\/index.php\/2026\/01\/26\/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":"
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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

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<\/h3>\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<\/a> 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<\/h3>\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: <\/strong>Controlling AI agent sprawl: The CIO\u2019s guide to governance<\/strong><\/a><\/p>\n

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

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