Observed Signal · May 23, 2026 · Partnership · Source: techcrunch · Impact: 2/5 · Sentiment: Positive
Ferrari, IBM Use AI to Build F1 Superfans
IBM has partnered with Scuderia Ferrari HP to rebuild Ferrari’s standalone fan app using enterprise AI to drive year-round fan engagement and personalization. The overhaul adds localized support (including Italian), games, AI-written race summaries, an AI companion for fan questions, prediction features, and behind-the-scenes storytelling sourced from high-frequency race telemetry. Ferrari hired Stefano Pallard as head of fan development to lead efforts to tailor content using engagement signals and sentiment analysis. IBM says engagement has trended upward since the partnership, citing a 62% increase in engagement over race weekends. The initiative targets a more diverse, growing F1 fanbase (including new Gen Z and female fans) and aims to use track data and AI to make each fan feel personally known and keep them engaged year-round.
Shows enterprise AI applied to consumer engagement and personalization in sports; relevant as an example of first-party app strategies and AI-driven storytelling, but not an industry-shifting platform or policy change.
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Key Takeaways & Evidence Grounding
- IBM partnered with Scuderia Ferrari HP to overhaul the Ferrari fan app.
- Ferrari hired Stefano Pallard in the role 'head of fan development.'
- New app features include games, AI-written race summaries, predictions, and an AI companion for fans.
- IBM cited a 62% increase in app engagement over race weekends since the partnership began.
- The teams process millions of telemetry data points per second during races, which the app uses to generate content.
Connected Companies & Entities
4 Entities mappedRelated Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Formula 1 and Salesforce Launch Agentforce Fan Companion
Formula 1 and Salesforce expanded their multi-year partnership and launched an Agentforce-powered fan companion agent on F1.com to help fans understand the sport's sweeping 2026 technical regulation changes. The agent uses official F1 sources to answer real-time questions about the new rules and tracks trending queries to surface insights back to F1. The initiative targets younger fans—43% of F1’s 827 million global audience is under 35—and is timed amid a major commercial shift for the sport, including a U.S. exclusive five-year streaming deal with Apple and a $3 billion sponsorship boom led by big tech and AI firms. The extended deal also increases Salesforce’s physical presence across the F1 calendar, including continued Las Vegas Grand Prix sponsorship and new support for F1 Academy.
Infobip and TGR Haas Launch RaceMate AI Fan Companion
Infobip and TGR Haas F1 Team launched "TGR Haas F1 Team RaceMate powered by Infobip," an AI-powered conversational fan companion available on Apple Messages for Business and WhatsApp Business Platform. Built on Infobip’s AgentOS, the always-on agent provides race intelligence (schedules, grid positions, qualifying and sprint results), driver tracking for Ollie Bearman and Esteban Ocon, and personalized interactions that adapt to user knowledge levels. Between race weekends it offers gamified experiences such as quizzes with leaderboards, trivia, and a merchandise browsing flow with virtual try-on features. The solution, described as scalable to millions of fans, debuts during the Miami Grand Prix (May 1–3, 2026) and will be available throughout the 2026 season.
IBM Uses AI as Internal Case Study at Cannes
Adweek's Marketing Vanguard series features an interview with Jonathan Adashek, SVP of marketing and communications at IBM, recorded at Cannes Lions 2026. Adashek outlines IBM’s “client zero” approach to internal AI adoption, saying the company achieved $4.5 billion in savings over three years with another $1 billion committed this year. IBM also reduced event volume by half while generating 10–20% more leads through AI-enabled targeting and personalization. The discussion emphasizes that AI adoption requires process discipline, training, workflow design and tool governance to avoid fragmented agents, siloed data and runaway costs. The vidcast episode was presented in partnership with Edelman and hosted by Jenny Rooney of Adweek.
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