F1 teams harness millions of sensor readings and AI for split-second race decisions

At the Singapore Grand Prix, Aston Martin Aramco F1 explained that its cars host over 200 sensors and generate more than 1.5 TB of data across a race weekend, delivering a million data points each second to a team of 60 engineers in Silverstone with just 0.3 seconds of delay. AI tools sift through this torrent to highlight actionable information, for example real-time brake-bias tweaks. Reserve driver Jak Crawford noted that despite the data deluge, driver feel remains crucial.

Meanwhile, Tata Communications built a 650 TB broadcast infrastructure, deploying 58 km of fibre and AI-driven monitoring to keep the live feed stable on the night-time street circuit. IBM and HP also use AI to power Ferrari’s fan app, turning complex performance metrics into interactive summaries reviewed by both manufacturers. These combined technologies illustrate how telemetry, AI and high-capacity networks are reshaping strategy, broadcasting and fan engagement in modern Formula One.